Sample records for arctic kara sea

  1. 2009/2010 Eurasian Cold Winter and Loss of Arctic Sea-ice over Barents/Kara Sea

    NASA Astrophysics Data System (ADS)

    Shim, T.; Kim, B.; Kim, S.

    2012-12-01

    In 2009/2010 winter, a few extreme cold events and heavy snowfall occurred over central North America, north western Europe, and East Asia exerting a severe social and economic impacts. In this study, we performed modeling experiments to examine the role of substantially reduced Arctic sea-ice over Barents/Kara Sea on the 2009/2010 cold winters. Although several previous studies investigated cause of the extreme events and emphasized the large snow-covered area over Siberia in autumn 2009, we note that the area extent of Arctic sea-ice over Barents/Kara sea in autumn 2009 was anomalously low and the possible impact from Arctic for the extreme cold events has not been presented. To investigate the influence from the Arctic, we designed three model runs using Community Atmosphere Model Version 3 (CAM3). Each simulation differs by the prescribed surface boundary conditions: (a) CTRL - climatological seasonal cycle of sea surface temperature (SST) and sea-ice concentration (SIC) are prescribed everywhere, (b) EXP_65N - SST and SIC inside the Arctic circle (north of 65°N) are replaced by 2009/2010 values. Elsewhere, the climatology is used, (c) EXP_BK - Same with (b) except that SIC and SST are fixed only over Barents/Kara Sea where the sea-ice area dropped significantly in 2009/2010 winter. Model results from EXP_65N and EXP_BK commonly showed a large increase of air temperature in the lower troposphere where Arctic sea-ice showed a large reduction. Also, compared with the observation, model successfully captured thickened geopotential height in the Arctic and showed downstream wave propagation toward midlatitude. From the analysis, we reveal that this large dipolar Arctic-midlatitude teleconnection pattern in the upper troposphere easily propagate upward and played a role in the weakening of polar vortex. This is also confirmed in the observation. However, the timing of excitation of upward propagating wave in EXP_65N and EXP_BK were different and thus the timing of

  2. Polar Seas Oceanography: An Integrated Case Study of the Kara Sea

    NASA Astrophysics Data System (ADS)

    Harms, Ingo

    2004-02-01

    What strikes first when browsing through this book is that the main title is misleading. Polar Seas Oceanography is, first of all, a book on ``an integrated case study of the Kara Sea,'' as the subtitle says. For readers who are interested more generally in polar oceanography, the book is probably the wrong choice. The Kara Sea is a rather shallow shelf sea within the Arctic Ocean, located between the Barents Sea to the west and the Laptev Sea to the east. The importance of the Kara Sea is manifold: climate change issues like ice formation and freshwater runoff, environmental problems from dumping of radioactive waste or oil exploitation, and finally, the Northern Sea route, which crosses large parts of the Kara Sea, underline the economical and ecological relevance of that region. In spite of severe climate conditions, the Kara Sea is relatively well investigated. This was achieved through intense oceanographic expeditions, aircraft surveys, and polar drift stations. Russian scientists from the Arctic and Antarctic Research Institute (AARI) carried out a major part of this outstanding work during the second half of the last century.

  3. Kara Sea freshwater transport through Vilkitsky Strait: Variability, forcing, and further pathways toward the western Arctic Ocean from a model and observations

    NASA Astrophysics Data System (ADS)

    Janout, Markus A.; Aksenov, Yevgeny; Hölemann, Jens A.; Rabe, Benjamin; Schauer, Ursula; Polyakov, Igor V.; Bacon, Sheldon; Coward, Andrew C.; Karcher, Michael; Lenn, Yueng-Djern; Kassens, Heidemarie; Timokhov, Leonid

    2015-07-01

    Siberian river water is a first-order contribution to the Arctic freshwater budget, with the Ob, Yenisey, and Lena supplying nearly half of the total surface freshwater flux. However, few details are known regarding where, when, and how the freshwater transverses the vast Siberian shelf seas. This paper investigates the mechanism, variability, and pathways of the fresh Kara Sea outflow through Vilkitsky Strait toward the Laptev Sea. We utilize a high-resolution ocean model and recent shipboard observations to characterize the freshwater-laden Vilkitsky Strait Current (VSC), and shed new light on the little-studied region between the Kara and Laptev Seas, characterized by harsh ice conditions, contrasting water masses, straits, and a large submarine canyon. The VSC is 10-20 km wide, surface intensified, and varies seasonally (maximum from August to March) and interannually. Average freshwater (volume) transport is 500 ± 120 km3 a-1 (0.53 ± 0.08 Sv), with a baroclinic flow contribution of 50-90%. Interannual transport variability is explained by a storage-release mechanism, where blocking-favorable summer winds hamper the outflow and cause accumulation of freshwater in the Kara Sea. The year following a blocking event is characterized by enhanced transports driven by a baroclinic flow along the coast that is set up by increased freshwater volumes. Eventually, the VSC merges with a slope current and provides a major pathway for Eurasian river water toward the western Arctic along the Eurasian continental slope. Kara (and Laptev) Sea freshwater transport is not correlated with the Arctic Oscillation, but rather driven by regional summer pressure patterns.

  4. 1993-94-95 Kara sea field experiments and analysis. 1995 progress report to onr Arctic Nuclear Waste Assessment Program

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Phillips, G.W.; August, R.A.; King, S.E.

    1996-01-14

    This progress report covers field work and laboratory analysis efforts for quantifying the environmental threat of radioactive waste released in the Arctic seas adjacent to the former Soviet Union and for studying the various transport mechanisms by which this radioactivity could effect populations of the U.S. and other countries bordering the Arctic. We obtained water, sediment, biological samples and oceanographic data from several cruises to the Kara Sea and adjacent waters and conducted detailed laboratory analyses of the samples for radionuclides and physical biological properties. In addition, we obtained water and sediment samples and conducted on site low level radionuclidemore » analysis on the Angara, Yenisey River system which drains a major part of the Siberian industrial heartland and empties into the Kara Sea. We report on radionuclide concentrations, on radionuclide transport and scrubbing by sediments, on adsorption by suspended particles, on transport by surface and benthic boundary layer currents, on the effects of benthic and demersal organisms, on studies of long term monitoring in the Arctic, and on an interlaboratory calibration for radionuclide analysis.« less

  5. Furfural-based polymers for the sealing of reactor vessels dumped in the Arctic Kara Sea

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    HEISER,J.H.; COWGILL,M.G.; SIVINTSEV,Y.V.

    1996-10-07

    Between 1965 and 1988, 16 naval reactor vessels were dumped in the Arctic Kara Sea. Six of the vessels contained spent nuclear fuel that had been damaged during accidents. In addition, a container holding {approximately} 60% of the damaged fuel from the No. 2 reactor of the atomic icebreaker Lenin was dumped in 1967. Before dumping, the vessels were filled with a solidification agent, Conservant F, in order to prevent direct contact between the seawater and the fuel and other activated components, thereby reducing the potential for release of radionuclides into the environment. The key ingredient in Conservant F ismore » furfural (furfuraldehyde). Other constituents vary, depending on specific property requirements, but include epoxy resin, mineral fillers, and hardening agents. In the liquid state (prior to polymerization) Conservant F is a low viscosity, homogeneous resin blend that provides long work times (6--9 hours). In the cured state, Conservant F provides resistance to water and radiation, has high adhesion properties, and results in minimal gas evolution. This paper discusses the properties of Conservant F in both its cured and uncured states and the potential performance of the waste packages containing spent nuclear fuel in the Arctic Kara Sea.« less

  6. Evidence for Holocene centennial variability in sea ice cover based on IP25 biomarker reconstruction in the southern Kara Sea (Arctic Ocean)

    NASA Astrophysics Data System (ADS)

    Hörner, Tanja; Stein, Rüdiger; Fahl, Kirsten

    2017-10-01

    The Holocene is characterized by the late Holocene cooling trend as well as by internal short-term centennial fluctuations. Because Arctic sea ice acts as a significant component (amplifier) within the climate system, investigating its past long- and short-term variability and controlling processes is beneficial for future climate predictions. This study presents the first biomarker-based (IP25 and PIP25) sea ice reconstruction from the Kara Sea (core BP00-07/7), covering the last 8 ka. These biomarker proxies reflect conspicuous short-term sea ice variability during the last 6.5 ka that is identified unprecedentedly in the source region of Arctic sea ice by means of a direct sea ice indicator. Prominent peaks of extensive sea ice cover occurred at 3, 2, 1.3 and 0.3 ka. Spectral analysis of the IP25 record revealed 400- and 950-year cycles. These periodicities may be related to the Arctic/North Atlantic Oscillation, but probably also to internal climate system fluctuations. This demonstrates that sea ice belongs to a complex system that more likely depends on multiple internal forcing.

  7. Possible criticality of marine reactors dumped in the Kara Sea

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Warden, J.M.; Mount, M.; Lynn, N.M.

    1997-05-01

    The largest inventory of radioactive materials dumped in the Kara Sea by the former Soviet Union comes from the spent nuclear fuel (SNF) of seven marine reactors. Using corrosion models derived for the International Arctic Seas Assessment Project (IASAP), the possibility of some of the SNF achieving criticality through structural and material changes has been investigated. Although remote, the possibility cannot at this stage be ruled out.

  8. Environment and biology of the Kara Sea: a general view for contamination studies.

    PubMed

    Miquel, J C

    2001-01-01

    The recent revelation that over the past 30 years there has been a history of dumping waste including high-level radioactive wastes in the shallow Kara Sea has caused wide-spread concern. The potential impact of these contaminants and other non-nuclear pollutants in the Arctic ecosystem and on human health need to be assessed and, thus, a better insight gained on radioecological processes in cold waters. The present paper proposes a general view on the biology and the environment of the Kara Sea, as a basic tool for the experimental and modelling assessments of the impact of these contaminants.

  9. The diagnosis and forecast system of hydrometeorological characteristics for the White, Barents, Kara and Pechora Seas

    NASA Astrophysics Data System (ADS)

    Fomin, Vladimir; Diansky, Nikolay; Gusev, Anatoly; Kabatchenko, Ilia; Panasenkova, Irina

    2017-04-01

    The diagnosis and forecast system for simulating hydrometeorological characteristics of the Russian Western Arctic seas is presented. It performs atmospheric forcing computation with the regional non-hydrostatic atmosphere model Weather Research and Forecasting model (WRF) with spatial resolution 15 km, as well as computation of circulation, sea level, temperature, salinity and sea ice with the marine circulation model INMOM (Institute of Numerical Mathematics Ocean Model) with spatial resolution 2.7 km, and the computation of wind wave parameters using the Russian wind-wave model (RWWM) with spatial resolution 5 km. Verification of the meteorological characteristics is done for air temperature, air pressure, wind velocity, water temperature, currents, sea level anomaly, wave characteristics such as wave height and wave period. The results of the hydrometeorological characteristic verification are presented for both retrospective and forecast computations. The retrospective simulation of the hydrometeorological characteristics for the White, Barents, Kara and Pechora Seas was performed with the diagnosis and forecast system for the period 1986-2015. The important features of the Kara Sea circulation are presented. Water exchange between Pechora and Kara Seas is described. The importance is shown of using non-hydrostatic atmospheric circulation model for the atmospheric forcing computation in coastal areas. According to the computation results, extreme values of hydrometeorological characteristics were obtained for the Russian Western Arctic seas.

  10. Monitoring release of disposable radionuclides in the Kara sea: Bioaccumulation of long-lived radionuclides in echinoderms and molluscs

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Fisher, N.S.

    1994-01-01

    The objective of the present proposal is to continue and extend our research on the trophic transfer of important radionuclides in benthic fauna of the Kara Sea. This project is assessing the extent to which select species of seastars, brittle stars, and clams typical of the Kara Sea concentrate and retain a variety of long-lived radionuclides known to be (or suspected to be) present in the disposed wastes in the Russian Arctic. The rates and routes of uptake and depuration of isotopes in the same or in closely related species are being quantified so that endemic benthic organisms can bemore » assessed as potential bioindicators of released radionuclides in Arctic waters.« less

  11. Kara Sea radioactivity assessment.

    PubMed

    Osvath, I; Povinec, P P; Baxter, M S

    1999-09-30

    Investigations following five international expeditions to the Kara Sea have shown that no radiologically significant contamination has occurred outside of the dumping sites in Novaya Zemlya bays. Increased levels of radionuclides in sediment have only been observed in Abrosimov and Stepovoy Bays very close to dumped containers. Evaluations of radionuclide inventories in water and sediment of the open Kara Sea and Novaya Zemlya bays as well as soil from the shore of Abrosimov bay have shown that radionuclide contamination of the open Kara Sea is mainly due to global fallout, with smaller contributions from the Sellafield reprocessing plant, the Chernobyl accident run-off from the Ob and Yenisey rivers and local fallout. Computer modelling results have shown that maximum annual doses of approximately 1 mSv are expected for a hypothetical critical group subsisting on fish caught in the Novaya Zemlya bays whereas populations living on the mainland can be expected to receive doses at least three orders of magnitude lower.

  12. Relating Regional Arctic Sea Ice and climate extremes over Europe

    NASA Astrophysics Data System (ADS)

    Ionita-Scholz, Monica; Grosfeld, Klaus; Lohmann, Gerrit; Scholz, Patrick

    2016-04-01

    The potential increase of temperature extremes under climate change is a major threat to society, as temperature extremes have a deep impact on environment, hydrology, agriculture, society and economy. Hence, the analysis of the mechanisms underlying their occurrence, including their relationships with the large-scale atmospheric circulation and sea ice concentration, is of major importance. At the same time, the decline in Arctic sea ice cover during the last 30 years has been widely documented and it is clear that this change is having profound impacts at regional as well as planetary scale. As such, this study aims to investigate the relation between the autumn regional sea ice concentration variability and cold winters in Europe, as identified by the numbers of cold nights (TN10p), cold days (TX10p), ice days (ID) and consecutive frost days (CFD). We analyze the relationship between Arctic sea ice variation in autumn (September-October-November) averaged over eight different Arctic regions (Barents/Kara Seas, Beaufort Sea, Chukchi/Bering Seas, Central Arctic, Greenland Sea, Labrador Sea/Baffin Bay, Laptev/East Siberian Seas and Northern Hemisphere) and variations in atmospheric circulation and climate extreme indices in the following winter season over Europe using composite map analysis. Based on the composite map analysis it is shown that the response of the winter extreme temperatures over Europe is highly correlated/connected to changes in Arctic sea ice variability. However, this signal is not symmetrical for the case of high and low sea ice years. Moreover, the response of temperatures extreme over Europe to sea ice variability over the different Arctic regions differs substantially. The regions which have the strongest impact on the extreme winter temperature over Europe are: Barents/Kara Seas, Beaufort Sea, Central Arctic and the Northern Hemisphere. For the years of high sea ice concentration in the Barents/Kara Seas there is a reduction in the number

  13. Freshwater and Atlantic water in the Kara Sea

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hanzlick, D.; Aagaard, K.

    1980-09-20

    Hydrographic data from the Kara Sea show significant storage of freshwater (approx.2.5 years of river input). This provides a buffer against large changes in ice and hydrographic conditions that might otherwise result from an anomalous year's runoff. The distribution of freshwater in the Kara Sea closely corresponds to bottom contours, indicating strong bathymetric influence on the spreading pattern. Observations also indicate areas within the Kara Sea in which the upward flux of sensible heat influences the thickness and the extent of ice coverage. Warm, saline Atlantic water which flows into the Kara Sea is particularly important in this regard. However,more » there is evidence that the flow of Atlantic water bifurcates in the northern reaches of the Kara Sea, so that one portion continues southward while the other curves back and exits with relatively little local heat loss.« less

  14. Radionuclide bioconcentration factors and sediment partition coefficients in Arctic Seas subject to contamination from dumped nuclear wastes

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Fisher, N.S.; Fowler, S.W.; Boisson, F.

    1999-06-15

    The disposal of large quantities of radioactive wastes in Arctic Seas by the former Soviet Union has prompted interest in the behavior of long-lived radionuclides in polar waters. Previous studies on the interactions of radionuclides prominent in radioactive wastes have focused on temperate waters; the extent to which the bioconcentration factors and sediment partitioning from these earlier studies could be applied to risk assessment analyses involving high latitude systems is unknown. Here the authors present concentrations in seawater and calculated in situ bioconcentration factors for [sup 90]Sr, [sup 137]Cs, and [sup 239+240]Pu (the three most important radionuclides in Arctic riskmore » assessment models) in macroalgae, crustaceans, bivalve molluscs, sea birds, and marine mammals as well as sediment K[sub d] values for 13 radionuclides and other elements in samples taken from the Kara and Barents Seas. The data analysis shows that, typically, values for polar and temperate waters are comparable, but exceptions include 10-fold higher concentration factors for [sup 239+240]Pu in Arctic brown macroalgae, 10-fold lower K[sub d] values for [sup 90]Sr in Kara Sea sediment than in typical temperate coastal sediment, and 100-fold greater Ru K[sub d] values in Kara Sea sediment. For most elements application of temperate water bioconcentration factors and K[sub d] values to Arctic marine systems appears to be valid.« less

  15. Leaching of radionuclides from furfural-based polymers used to solidify reactor compartments and components disposed of in the Arctic Kara Sea

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    HEISER,J.H.; SIVINTSEV,Y.; ALEXANDROV,V.P.

    1999-09-01

    Within the course of operating its nuclear navy, the former Soviet Union (FSU) disposed of reactor vessels and spent nuclear fuel (SNF) in three fjords on the east coast of Novaya Zemlya and in the open Kara Sea within the Novaya Zemlya Trough during the period 1965 to 1988. The dumping consisted of 16 reactors, six of which contained SNF and one special container that held ca. 60% of the damaged SNF and the screening assembly from the No. 2 reactor of the atomic icebreaker Lenin. At the time, the FSU considered dumping of decommissioned nuclear submarines with damaged coresmore » in the bays of and near by the Novaya Zemlya archipelago in the Arctic Kara Sea to be acceptable. To provide an additional level of safety, a group of Russian scientists embarked upon a course of research to develop a solidification agent that would provide an ecologically safe barrier. The barrier material would prevent direct contact of seawater with the SNF and the resultant leaching and release of radionuclides. The solidification agent was to be introduced by flooding the reactors vessels and inner cavities. Once introduced the agent would harden and form an impermeable barrier. This report describes the sample preparation of several ``Furfurol'' compositions and their leach testing using cesium 137 as tracer.« less

  16. Identifying Climate Model Teleconnection Mechanisms Between Arctic Sea Ice Loss and Mid-Latitude Winter Storms

    NASA Astrophysics Data System (ADS)

    Kravitz, B.; Mills, C.; Rasch, P. J.; Wang, H.; Yoon, J. H.

    2016-12-01

    The role of Arctic amplification, including observed decreases in sea ice concentration, thickness, and extent, with potential for exciting downstream atmospheric responses in the mid-latitudes, is a timely issue. We identify the role of the regionality of autumn sea ice loss on downstream mid-latitude responses using engineering methodologies adapted to climate modeling, which allow for multiple Arctic sea regions to be perturbed simultaneously. We evaluate downstream responses in various climate fields (e.g., temperature, precipitation, cloud cover) associated with perturbations in the Beaufort/Chukchi Seas and the Kara/Barents Seas. Simulations suggest that the United States response is primarily linked to sea ice changes in the Beaufort/Chukchi Seas, whereas Eurasian response is primarily due to Kara/Barents sea ice coverage changes. Downstream effects are most prominent approximately 6-10 weeks after the initial perturbation (sea ice loss). Our findings suggest that winter mid-latitude storms (connected to the so-called "Polar Vortex") are linked to sea ice loss in particular areas, implying that further sea ice loss associated with climate change will exacerbate these types of extreme events.

  17. Relict thermokarst carbon source kept stable within gas hydrate stability zone of the South Kara Sea

    NASA Astrophysics Data System (ADS)

    Portnov, A.; Mienert, J.; Winsborrow, M.; Vadakkepuliyambatta, S.; Semenov, P.

    2017-12-01

    Substantial shallow sources of carbon can exist in the South Kara Sea shelf, extending offshore from the permafrost areas of Yamal Peninsula and the Polar Ural coast. Our study presents new evidence for >250 buried relict thermokarst units. These amalgamated thawing wedges formed in the uppermost permafrost of the past and are still recognizable in today's non-permafrost areas. Part of these potential carbon reservoirs are kept stable within the South Kara Sea gas hydrate stability zone (GHSZ). We utilize an extensive 2D high-resolution seismic dataset, collected in the South Kara Sea in 2005-2006 by Marine Arctic Geological Expedition (MAGE), to map distinctive U-shaped units that are acoustically transparent. These units appear all over the study area in water depths 50-250 m. Created by thermal erosion into Cretaceous-Paleogene bedrock, they are buried under the younger glacio-marine deposits and reach hundreds of meters wide and up to 100 meters thick. They show the characteristics of relict thermokarst, generated during ancient episode(s) of sea level regression of the South Kara Sea. These thermokarst units are generally limited by the Upper Regional Unconformity, which is an erosional horizon created by several glaciation events during the Pleistocene. On land, permafrost is known to sequester large volumes of carbon, half of which is concentrated within thermokarst structures. Based on modern thermokarst analogues we demonstrate with our study that a significant amount of organic carbon can be stored under the Kara Sea. To assess the stability of these shallow carbon reservoirs we carried out GHSZ modeling, constrained by geochemical analyses, temperature measurements and precise bathymetry. This revealed a significant potential for a GHSZ in water depths >225 m. The relict thermokast carbon storage system is stable under today's extremely low bottom water temperatures ( -1.7 °C) that allows for buried GHSZ, located tens of meters below the seabed

  18. Transport of contaminants by Arctic sea ice and surface ocean currents

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Pfirman, S.

    1995-12-31

    Sea ice and ocean currents transport contaminants in the Arctic from source areas on the shelves, to biologically active regions often more than a thousand kilometers away. Coastal regions along the Siberian margin are polluted by discharges of agricultural, industrial and military wastes in river runoff, from atmospheric deposition and ocean dumping. The Kara Sea is of particular concern because of deliberate dumping of radioactive waste, as well as the large input of polluted river water. Contaminants are incorporated in ice during suspension freezing on the shelves, and by atmospheric deposition during drift. Ice releases its contaminant load through brinemore » drainage, surface runoff of snow and meltwater, and when the floe disintegrates. The marginal ice zone, a region of intense biological activity, may also be the site of major contaminant release. Potentially contaminated ice from the Kara Sea is likely to influence the marginal ice zones of the Barents and Greenland seas. From studies conducted to date it appears that sea ice from the Kara Sea does not typically enter the Beaufort Gyre, and thus is unlikely to affect the northern Canadian and Alaskan margins.« less

  19. The Regional Influence of the Arctic Oscillation and Arctic Dipole on the Wintertime Arctic Surface Radiation Budget and Sea Ice Growth

    NASA Technical Reports Server (NTRS)

    Hegyi, Bradley M.; Taylor, Patrick C.

    2017-01-01

    An analysis of 2000-2015 monthly Clouds and the Earth's Radiant Energy System-Energy Balanced and Filled (CERES-EBAF) and Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA2) data reveals statistically significant fall and wintertime relationships between Arctic surface longwave (LW) radiative flux anomalies and the Arctic Oscillation (AO) and Arctic Dipole (AD). Signifying a substantial regional imprint, a negative AD index corresponds with positive downwelling clear-sky LW flux anomalies (greater than10W m(exp -2)) north of western Eurasia (0 deg E-120 deg E) and reduced sea ice growth in the Barents and Kara Seas in November-February. Conversely, a positive AO index coincides with negative clear-sky LW flux anomalies and minimal sea ice growth change in October-November across the Arctic. Increased (decreased) atmospheric temperature and water vapor coincide with the largest positive (negative) clear-sky flux anomalies. Positive surface LW cloud radiative effect anomalies also accompany the negative AD index in December-February. The results highlight a potential pathway by which Arctic atmospheric variability influences the regional surface radiation budget over areas of Arctic sea ice growth.

  20. Modeling the potential radionuclide transport by the Ob and Yenisey Rivers to the Kara Sea.

    PubMed

    Paluszkiewicz, T; Hibler, L F; Richmond, M C; Bradley, D J; Thomas, S A

    2001-01-01

    A major portion of the former Soviet Union (FSU) nuclear program is located in the West Siberian Basin. Among the many nuclear facilities are three production reactors and the spent nuclear fuel reprocessing sites, Mayak, Tomsk-7, and Krasnoyarsk-26, which together are probably responsible for the majority of the radioactive contamination found in the Ob and Yenisey River systems that feed into the Arctic Ocean through the Kara Sea. This manuscript describes ongoing research to estimate radionuclide fluxes to the Kara Sea from these river systems. Our approach is to apply a hierarchy of simple models that use existing and forthcoming data to quantify the transport and fate of radionuclide contaminants via various environmental pathways. We present an initial quantification of the contaminant inventory, hydrology, meteorology, and sedimentology of the Ob River system and preliminary conclusions from portions of the Ob River model.

  1. Barents-Kara sea ice and the winter NAO in the DePreSys3 Met Office Seasonal forecast model

    NASA Astrophysics Data System (ADS)

    Warner, J.; Screen, J.

    2017-12-01

    Accurate seasonal forecasting leads to a wide range of socio-economic benefits and increases resilience to prolonged bouts of extreme weather. This work looks at how November Barents-Kara sea ice may affect the winter northern hemisphere atmospheric circulation, using various compositing methods in the DePreSys3 ensemble model, with lag to argue better a relationship between the two. In particular, the NAO (North Atlantic Oscillation) is focused on given its implications on European weather. Using this large hindcast dataset comprised of 35 years with 30 available ensemble members, it is found that low Barents-Kara sea ice leads to a negative NAO tendency in all composite methods, with increased mean sea level pressure in higher latitudes. The significance of this varies between composites. This is preliminary analysis of a larger PhD project to further understand how Arctic Sea ice may play a role in seasonal forecasting skill through its connection/influence on mid-latitude weather.

  2. Weakening of the Stratospheric Polar Vortex by Arctic Sea-Ice Loss

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kim, Baek-Min; Son, Seok-Woo; Min, Seung-Ki

    2014-09-02

    Successive cold winters of severely low temperatures in recent years have had critical social and economic impacts on the mid-latitude continents in the Northern Hemisphere. Although these cold winters are thought to be partly driven by dramatic losses of Arctic sea ice, the mechanism that links sea ice loss to cold winters remains a subject of debate. Here, by conducting observational analyses and model experiments, we show how Arctic sea ice loss and cold winters in extra-polar regions are dynamically connected through the polar stratosphere. We find that decreased sea ice cover during early winter months (November-December), especially over themore » Barents-Kara seas, enhance the upward propagation of planetary-scale waves with wavenumbers of 1 and 2, subsequently weakening the stratospheric polar vortex in mid-winter (January- February). The weakened polar vortex preferentially induces a negative phase of Arctic Oscillation at the surface, resulting in low temperatures in mid-latitudes.« less

  3. Anthropogenic radioactivity in the Arctic Ocean--review of the results from the joint German project.

    PubMed

    Nies, H; Harms, I H; Karcher, M J; Dethleff, D; Bahe, C

    1999-09-30

    The paper presents the results of the joint project carried out in Germany in order to assess the consequences in the marine environment from the dumping of nuclear wastes in the Kara and Barents Seas. The project consisted of experimental work on measurements of radionuclides in samples from the Arctic marine environment and numerical modelling of the potential pathways and dispersion of contaminants in the Arctic Ocean. Water and sediment samples were collected for determination of radionuclide such as 137Cs, 90Sr, 239 + 240Pu, 238Pu, and 241Am and various organic micropollutants. In addition, a few water and numerous surface sediment samples collected in the Kara Sea and from the Kola peninsula were taken by Russian colleagues and analysed for artificial radionuclide by the BSH laboratory. The role of transport by sea ice from the Kara Sea into the Arctic Ocean was assessed by a small subgroup at GEOMAR. This transport process might be considered as a rapid contribution due to entrainment of contaminated sediments into sea ice, following export from the Kara Sea into the transpolar ice drift and subsequent release in the Atlantic Ocean in the area of the East Greenland Current. Numerical modelling of dispersion of pollutants from the Kara and Barents Seas was carried out both on a local scale for the Barents and Kara Seas and for long range dispersion into the Arctic and Atlantic Oceans. Three-dimensional baroclinic circulation models were applied to trace the transport of pollutants. Experimental results were used to validate the model results such as the discharges from the nuclear reprocessing plant at Sellafield and subsequent contamination of the North Sea up the Arctic Seas.

  4. Arctic moisture source for Eurasian snow cover variations in autumn

    NASA Astrophysics Data System (ADS)

    Wegmann, Martin; Orsolini, Yvan; Vázquez Dominguez, Marta; Gimeno Presa, Luis; Nieto, Raquel; Buligyna, Olga; Jaiser, Ralf; Handorf, Dörthe; Rinke, Anette; Dethloff, Klaus; Sterin, Alexander; Brönnimann, Stefan

    2015-04-01

    Global warming is enhanced at high northern latitudes where the Arctic surface air temperature has risen at twice the rate of the global average in recent decades - a feature called Arctic amplification. This recent Arctic warming signal likely results from several factors such as the albedo feedback due to a diminishing cryosphere, enhanced poleward atmospheric and oceanic transport, and change in humidity. The reduction in Arctic sea ice is without doubt substantial and a key factor. Arctic summer sea-ice extent has declined by more than 10% per decade since the start of the satellite era (e.g. Stroeve et al., 2012), culminating in a new record low in September 2012, with the long-term trend largely attributed to anthropogenic global warming. Eurasian snow cover changes have been suggested as a driver for changes in the Arctic Oscillation and might provide a link between sea ice decline in the Arctic during summer and atmospheric circulation in the following winter. However, the mechanism connecting snow cover in Eurasia to sea ice decline in autumn is still under debate. Our analysis focuses at sea ice decline in the Barents-Kara Sea region, which allows us to specify regions of interest for FLEXPART forward and backwards moisture trajectories. Based on Eularian and Lagrangian diagnostics from ERA-INTERIM, we can address the origin and cause of late autumn snow depth variations in a dense (snow observations from 820 land stations), unutilized observational datasets over the Commonwealth of Independent States. Open waters in the Barents and Kara Sea have been shown to increase the diabatic heating of the atmosphere, which amplifies baroclinic cyclones and might induce a remote atmospheric response by triggering stationary Rossby waves (Honda et al. 2009). In agreement with these studies, our results show enhanced storm activity originating at the Barents and Kara with disturbances entering the continent through a small sector from the Barents and Kara Seas

  5. Distribution coefficients (Kd's) for use in risk assessment models of the Kara Sea.

    PubMed

    Carroll, J; Boisson, F; Teyssie, J L; King, S E; Krosshavn, M; Carroll, M L; Fowler, S W; Povinec, P P; Baxter, M S

    1999-07-01

    As a prerequisite for most evaluations of radionuclide transport pathways in marine systems, it is necessary to obtain basic information on the sorption potential of contaminants onto particulate matter. Kd values for use in modeling radionuclide dispersion in the Kara Sea have been determined as part of several international programs addressing the problem of radioactive debris residing in Arctic Seas. Field and laboratory Kd experiments were conducted for the following radionuclides associated with nuclear waste: americium, europium, plutonium, cobalt, cesium and strontium. Emphasis has been placed on two regions in the Kara Sea: (i) the Novaya Zemlya Trough (NZT) and (ii) the mixing zones of the Ob and Yenisey Rivers (RMZ). Short-term batch Kd experiments were performed at-sea on ambient water column samples and on samples prepared both at-sea and in the laboratory by mixing filtered bottom water with small amounts of surficial bottom sediments (particle concentrations in samples = 1-30 mg/l). Within both regions, Kd values for individual radionuclides vary over two to three orders of magnitude. The relative particle affinities for radionuclides in the two regions are americium approximately equal to europium > plutonium > cobalt > cesium > strontium. The values determined in this study agree with minimum values given in the IAEA Technical Report [IAEA, 1985. Sediment Kd's and Concentration Factors for Radionuclides in the Marine Environment. Technical Report No. 247. International Atomic Energy Agency, Vienna.]. Given the importance of Kd's in assessments of critical transport pathways for radionuclide contaminants, we recommend that Kd ranges of values for specific elements rather than single mean values be incorporated into model simulations of radionuclide dispersion.

  6. Recent Rapid Decline of the Arctic Winter Sea Ice in the Barents-Kara Seas Owing to Combined Effects of the Ural Blocking and SST

    NASA Astrophysics Data System (ADS)

    Luo, Binhe; Yao, Yao

    2018-04-01

    This study investigates why the Arctic winter sea ice loss over the Barents-Kara Seas (BKS) is accelerated in the recent decade. We first divide 1979-2013 into two time periods: 1979-2000 (P1) and 2001-13 (P2), with a focus on P2 and the difference between P1 and P2. The results show that during P2, the rapid decline of the sea ice over the BKS is related not only to the high sea surface temperature (SST) over the BKS, but also to the increased frequency, duration, and quasi-stationarity of the Ural blocking (UB) events. Observational analysis reveals that during P2, the UB tends to become quasi stationary and its frequency tends to increase due to the weakening (strengthening) of zonal winds over the Eurasia (North Atlantic) when the surface air temperature (SAT) anomaly over the BKS is positive probably because of the high SST. Strong downward infrared (IR) radiation is seen to occur together with the quasi-stationary and persistent UB because of the accumulation of more water vapor over the BKS. Such downward IR favors the sea ice decline over the BKS, although the high SST over the BKS plays a major role. But for P1, the UB becomes westward traveling due to the opposite distribution of zonal winds relative to P2, resulting in weak downward IR over the BKS. This may lead to a weak decline of the sea ice over the BKS. Thus, it is likely that the rapid decline of the sea ice over the BKS during P2 is attributed to the joint effects of the high SST over the BKS and the quasi-stationary and long-lived UB events.

  7. Arctic Moisture Source for Eurasian Snow Cover Variations in Autumn

    NASA Astrophysics Data System (ADS)

    Wegmann, M.

    2015-12-01

    Global warming is enhanced at high northern latitudes where the Arctic surface airtemperature has risen at twice the rate of the global average in recent decades - afeature called Arctic amplification. This recent Arctic warming signal likely resultsfrom several factors such as the albedo feedback due to a diminishing cryosphere,enhanced poleward atmospheric and oceanic transport, and change in humidity. Moreover, Arcticsummer sea-ice extent has declined by more than 10% per decade since the start ofthe satellite era (e.g. Stroeve et al., 2012), culminating in a new record low inSeptember 2012.Eurasian snow cover changes have been suggested as a driver for changes in theArctic Oscillation and might provide a link between sea ice decline in the Arcticduring summer and atmospheric circulation in the following winter. However, themechanism connecting snow cover in Eurasia to sea ice decline in autumn is stillunder debate. Our analysis focuses on sea ice decline in the Barents-Kara Sea region, which allowsus to specify regions of interest for FLEXPART forward and backwards moisturetrajectories. Based on Eularian and Lagrangian diagnostics from ERA-INTERIM, wecan address the origin and cause of late autumn snow depth variations in a dense(snow observations from 820 land stations), unutilized observational datasets over theCommonwealth of Independent States.Open waters in the Barents and Kara Sea have been shown to increase the diabaticheating of the atmosphere, which amplifies baroclinic cyclones and might induce aremote atmospheric response by triggering stationary Rossby waves (Honda et al.2009).In agreement with these studies, our results show enhanced storm activity originatingat the Barents and Kara with disturbances entering the continent through a smallsector from the Barents and Kara Seas. Maxima in storm activity trigger increasing uplift, oftenaccompanied by positive snowfall and snow depth anomalies.We show that declining sea ice in the Barents and Kara Seas

  8. Changes in Arctic Melt Season and Implications for Sea Ice Loss

    NASA Technical Reports Server (NTRS)

    Stroeve, J. C.; Markus, T.; Boisvert, L.; Miller, J.; Barrett, A.

    2014-01-01

    The Arctic-wide melt season has lengthened at a rate of 5 days dec-1 from 1979 to 2013, dominated by later autumn freeze-up within the Kara, Laptev, East Siberian, Chukchi and Beaufort seas between 6 and 11 days dec(exp -1). While melt onset trends are generally smaller, the timing of melt onset has a large influence on the total amount of solar energy absorbed during summer. The additional heat stored in the upper ocean of approximately 752MJ m(exp -2) during the last decade, increases sea surface temperatures by 0.5 to 1.5 C and largely explains the observed delays in autumn freeze-up within the Arctic Ocean's adjacent seas. Cumulative anomalies in total absorbed solar radiation from May through September for the most recent pentad locally exceed 300-400 MJ m(exp -2) in the Beaufort, Chukchi and East Siberian seas. This extra solar energy is equivalent to melting 0.97 to 1.3 m of ice during the summer.

  9. Intraseasonal Cold Air Outbreak over East Asia and the preceding atmospheric condition over the Barents-Kara Sea

    NASA Astrophysics Data System (ADS)

    Hori, M. E.; Inoue, J.

    2011-12-01

    Frequent occurrence of cold air outbreak is a dominant feature of the East Asian winter monsoon. A contributing factor for the this cold air outbreak is the role of stationary Rossby waves over the Eurasian continent which intensifies the surface Siberian High and the accompanying cold air outflow. Reduced sea ice and increase in turbulence heat flux is hypothesized as a source of such stationary waves (Honda et al. 2009). In particular, the winter of 2009/2010 saw a strong correlation of high pressure anomaly over the Barents/Kara sea and the following cold air buildup over the Eurasian continent and its advection towards East Asia (Hori et al. 2011). The lag correlation of surface temperature over Japan and the 850hPa geopotential height shows a cyclonic anomaly appearing over the Barents/Kara sea which creates a cold air advection over the Eurasian continent. The pressure anomaly subsequently shifted westward to mature into a blocking high which created a wave- train pattern downstream advecting the cold air buildup eastward toward East Asia and Japan (Fig1). We further examine this mechanism for other years including the 2005/2006, 2010/2011 winter and other winters with extreme cold air outbreaks. Overall, the existence of an anticyclonic anomaly over the Barents/Kara sea correlated well with the seasonal dominance of cold air over the Eurasian continent thereby creating a contrast of a warm Arctic and cold Eurasian continent.In the intraseasonal timescale, the existence of this anticyclone corresponds to a persisting atmospheric blocking in the high latitudes. In the presentation, we address the underlying chain of events leading up to a strong cold air outbreak over East Asia from an atmosphere - sea ice - land surafce interaction point of view for paritular cold winter years.

  10. Trace contaminant concentrations in the Kara Sea and its adjacent rivers, Russia.

    PubMed

    Sericano, J L; Brooks, J M; Champ, M A; Kennicutt, M C; Makeyev, V V

    2001-11-01

    Trace organic (chlorinated pesticides, PCBs, PAHs and dioxins/furans) and trace metal concentrations were measured in surficial sediment and biological tissues (i.e., worms, crustaceans, bivalve molluscs, and fish livers) collected from the Russian Arctic. Total DDT, chlordane, PCB and PAH concentrations ranged from ND to 1.2, ND to <0.1, ND to 1.5 and <20-810 ng g(-1), respectively, in a suite of 40 surficial sediment samples from the Kara Sea and the adjacent Ob and Yenisey Rivers. High sedimentary concentrations of contaminants were found in the lower part of the Yenisey River below the salt wedge. Total dioxins/furans were analysed in a subset of 20 sediment samples and ranged from 1.4 to 410 pg g(-1). The highest trace organic contaminant concentrations were found in organisms, particularly fish livers. Concentrations as high as 89 ng g(-1) chlordane; 1010 ng g(-1) total DDTs; 460 ng g(-1) total PCBs; and 1110 ng g(-1) total PAH, were detected. A subset of 11 tissue samples was analysed for dioxins and furans with total concentrations ranging from 12 to 61 pg g(-1). Concentrations of many trace organic and metal contaminants in the Kara Sea appear to originate from riverine sources and atmospheric transport from more temperate areas. Most organic contaminant concentrations in sediments were low; however, contaminants are being concentrated in organisms and may pose a health hazard for inhabitants of coastal villages.

  11. A 21-Year Record of Arctic Sea Ice Extents and Their Regional, Seasonal, and Monthly Variability and Trends

    NASA Technical Reports Server (NTRS)

    Parkinson, Claire L.; Cavalieri, Donald J.; Zukor, Dorothy J. (Technical Monitor)

    2001-01-01

    Satellite passive-microwave data have been used to calculate sea ice extents over the period 1979-1999 for the north polar sea ice cover as a whole and for each of nine regions. Over this 21-year time period, the trend in yearly average ice extents for the ice cover as a whole is -32,900 +/- 6,100 sq km/yr (-2.7 +/- 0.5 %/decade), indicating a reduction in sea ice coverage that has decelerated from the earlier reported value of -34,000 +/- 8,300 sq km/yr (-2.8 +/- 0.7 %/decade) for the period 1979-1996. Regionally, the reductions are greatest in the Arctic Ocean, the Kara and Barents Seas, and the Seas of Okhotsk and Japan, whereas seasonally, the reductions are greatest in summer, for which season the 1979-1999 trend in ice extents is -41,600 +/- 12,900 sq km/ yr (-4.9 +/- 1.5 %/decade). On a monthly basis, the reductions are greatest in July and September for the north polar ice cover as a whole, in September for the Arctic Ocean, in June and July for the Kara and Barents Seas, and in April for the Seas of Okhotsk and Japan. Only two of the nine regions show overall ice extent increases, those being the Bering Sea and the Gulf of St. Lawrence.For neither of these two regions is the increase statistically significant, whereas the 1079 - 1999 ice extent decreases are statistically significant at the 99% confidence level for the north polar region as a whole, the Arctic Ocean, the Seas of Okhotsk and Japan, and Hudson Bay.

  12. Geology and assessment of undiscovered oil and gas resources of the North Kara Basins and Platforms Province, 2008

    USGS Publications Warehouse

    Klett, Timothy R.; Pitman, Janet K.; Moore, Thomas E.; Gautier, D.L.

    2017-11-15

    The U.S. Geological Survey (USGS) recently assessed the potential for undiscovered oil and gas resources of the North Kara Basins and Platforms Province as part of the its Circum-Arctic Resource Appraisal. This geologic province is north of western Siberia, Russian Federation, in the North Kara Sea between Novaya Zemlya to the west and Severnaya Zemlya to the east. One assessment unit (AU) was defined, the North Kara Basins and Platforms AU, which coincides with the geologic province. This AU was assessed for undiscovered, technically recoverable resources. The total estimated mean volumes of undiscovered petroleum resources in the province are ~1.8 billion barrels of crude oil, ~15.0 trillion cubic feet of natural gas, and ~0.4 billion barrels of natural-gas liquids, all north of the Arctic Circle.

  13. A Linkage of Recent Arctic Summer Sea Ice and Snowfall Variability of Japan

    NASA Astrophysics Data System (ADS)

    Iwamoto, K.; Honda, M.; Ukita, J.

    2014-12-01

    In spite of its mid-latitude location, Japan has a markedly high amount of snowfall, which owes much to the presence of cold air-break from Siberia and thus depends on the strength of the Siberian high and the Aleutian low. With this background this study examines the relationship between interannual variability and spatial patterns of snowfall in Japan with large-scale atmospheric and sea ice variations. The lag regression map of the winter snowfall in Japan on the time series of the Arctic SIE from the preceding summer shows a seesaw pattern in the snowfall, suggesting an Arctic teleconnection to regional weather. From the EOF analyses conducted on the snowfall distribution in Japan, we identify two modes with physical significance. The NH SIC and SLP regressed on PC1 show a sea ice reduction in the Barents and Kara Seas and anomalous strength of the Siberia high as discussed in Honda et al. (2009) and other studies, which support the above notion that the snowfall variability of Japan is influenced by Arctic sea ice conditions. Another mode is related to the AO/NAO and the hemispheric scale double sea-ice seesaw centered over the sub-Arctic region: one between the Labrador and Nordic Seas in the Atlantic and the other between the Okhotsk and Bering Seas from the Pacific as discussed in Ukita et al. (2007). Together, observations point to a significant role of the sea-ice in determining mid-latitude regional climate and weather patterns.

  14. Relative Role of Horizontal and Vertical Processes in Arctic Amplification

    NASA Astrophysics Data System (ADS)

    Kim, K. Y.

    2017-12-01

    The physical mechanism of Arctic amplification is still controversial. Specifically, relative role of vertical processes resulting from the reduction of sea ice in the Barents-Kara Seas is not clearly understood in comparison with the horizontal advection of heat and moisture. Using daily data, heat and moisture budgets are analyzed during winter (Dec. 1-Feb. 28) over the region of sea ice reduction in order to delineate the relative roles of horizontal and vertical processes. Detailed heat and moisture budgets in the atmospheric column indicate that the vertical processes, release of turbulent heat fluxes and evaporation, are a major contributor to the increased temperature and specific humidity over the Barents-Kara Seas. In addition, greenhouse effect caused by the increased specific humidity, also plays an important role in Arctic amplification. Horizontal processes such as advection of heat and moisture are the primary source of variability (fluctuations) in temperature and specific humidity in the atmospheric column. Advection of heat and moisture, on the other hand, is little responsible for the net increase in temperature and specific humidity over the Barents-Kara Seas.

  15. Atmospheric precursors of and response to anomalous Arctic sea ice in CMIP5 models

    NASA Astrophysics Data System (ADS)

    Kelleher, Michael; Screen, James

    2018-01-01

    This study examines pre-industrial control simulations from CMIP5 climate models in an effort to better understand the complex relationships between Arctic sea ice and the stratosphere, and between Arctic sea ice and cold winter temperatures over Eurasia. We present normalized regressions of Arctic sea-ice area against several atmospheric variables at extended lead and lag times. Statistically significant regressions are found at leads and lags, suggesting both atmospheric precursors of, and responses to, low sea ice; but generally, the regressions are stronger when the atmosphere leads sea ice, including a weaker polar stratospheric vortex indicated by positive polar cap height anomalies. Significant positive midlatitude eddy heat flux anomalies are also found to precede low sea ice. We argue that low sea ice and raised polar cap height are both a response to this enhanced midlatitude eddy heat flux. The so-called "warm Arctic, cold continents" anomaly pattern is present one to two months before low sea ice, but is absent in the months following low sea ice, suggesting that the Eurasian cooling and low sea ice are driven by similar processes. Lastly, our results suggest a dependence on the geographic region of low sea ice, with low Barents-Kara Sea ice correlated with a weakened polar stratospheric vortex, whilst low Sea of Okhotsk ice is correlated with a strengthened polar vortex. Overall, the results support a notion that the sea ice, polar stratospheric vortex and Eurasian surface temperatures collectively respond to large-scale changes in tropospheric circulation.

  16. Concentrations of trace elements and iron in the Arctic soils of Belyi Island (the Kara Sea, Russia): patterns of variation across landscapes.

    PubMed

    Moskovchenko, D V; Kurchatova, A N; Fefilov, N N; Yurtaev, A A

    2017-05-01

    The concentrations of several trace elements and iron were determined in 26 soil samples from Belyi Island in the Kara Sea (West Siberian sector of Russian Arctic). The major types of soils predominating in the soil cover were sampled. The concentrations of trace elements (mg kg -1 ) varied within the following ranges: 119-561 for Mn, 9.5-126 for Zn, 0.082-2.5 for Cd, <0.5-19.2 for Cu, <0.5-132 for Pb, 0.011-0.081 for Hg, <0.5-10.3 for Co, and 7.6-108 for Cr; the concentration of Fe varied from 3943 to 37,899 mg kg -1 . The impact of particular soil properties (pH, carbon and nitrogen contents, particle-size distribution) on metal concentrations was analyzed by the methods of correlation, cluster, and factor analyses. The correlation analysis showed that metal concentrations are negatively correlated with the sand content and positively correlated with the contents of silt and clay fractions. The cluster analysis allowed separation of the soils into three clusters. Cluster I included the soils with the high organic matter content formed under conditions of poor drainage; cluster II, the low-humus sandy soils of the divides and slopes; and cluster III, saline soils of coastal marshes. It was concluded that the geomorphic position largely controls the soil properties. The obtained data were compared with data on metal concentrations in other regions of the Russian Arctic. In general, the concentrations of trace elements in the studied soils were within the ranges typical of the background Arctic territories. However, some soils of Belyi Island contained elevated concentrations of Pb and Cd.

  17. Climate change impacts on sea-air fluxes of CO2 in three Arctic seas: a sensitivity study using Earth observation

    NASA Astrophysics Data System (ADS)

    Land, P. E.; Shutler, J. D.; Cowling, R. D.; Woolf, D. K.; Walker, P.; Findlay, H. S.; Upstill-Goddard, R. C.; Donlon, C. J.

    2013-12-01

    We applied coincident Earth observation data collected during 2008 and 2009 from multiple sensors (RA2, AATSR and MERIS, mounted on the European Space Agency satellite Envisat) to characterise environmental conditions and integrated sea-air fluxes of CO2 in three Arctic seas (Greenland, Barents, Kara). We assessed net CO2 sink sensitivity due to changes in temperature, salinity and sea ice duration arising from future climate scenarios. During the study period the Greenland and Barents seas were net sinks for atmospheric CO2, with integrated sea-air fluxes of -36 ± 14 and -11 ± 5 Tg C yr-1, respectively, and the Kara Sea was a weak net CO2 source with an integrated sea-air flux of +2.2 ± 1.4 Tg C yr-1. The combined integrated CO2 sea-air flux from all three was -45 ± 18 Tg C yr-1. In a sensitivity analysis we varied temperature, salinity and sea ice duration. Variations in temperature and salinity led to modification of the transfer velocity, solubility and partial pressure of CO2 taking into account the resultant variations in alkalinity and dissolved organic carbon (DOC). Our results showed that warming had a strong positive effect on the annual integrated sea-air flux of CO2 (i.e. reducing the sink), freshening had a strong negative effect and reduced sea ice duration had a small but measurable positive effect. In the climate change scenario examined, the effects of warming in just over a decade of climate change up to 2020 outweighed the combined effects of freshening and reduced sea ice duration. Collectively these effects gave an integrated sea-air flux change of +4.0 Tg C in the Greenland Sea, +6.0 Tg C in the Barents Sea and +1.7 Tg C in the Kara Sea, reducing the Greenland and Barents sinks by 11% and 53%, respectively, and increasing the weak Kara Sea source by 81%. Overall, the regional integrated flux changed by +11.7 Tg C, which is a 26% reduction in the regional sink. In terms of CO2 sink strength, we conclude that the Barents Sea is the most

  18. Forcing, variability, and pathway of a freshwater-driven current in the Eurasian Arctic

    NASA Astrophysics Data System (ADS)

    Janout, Markus; Aksenov, Yevgeny; Hölemann, Jens; Rabe, Benjamin; Schauer, Ursula; Polyakov, Igor; Bacon, Sheldon; Coward, Andrew; Karcher, Michael; Lenn, Yueng-Djern; Kassens, Heidi; Timokhov, Leo

    2015-04-01

    Siberian river water is a first-order contribution to the Arctic freshwater budget, with the Ob, Yenisey, and Lena supplying nearly half of the total surface freshwater flux. However, few details are known regarding where, when and how the freshwater transverses the vast Siberian shelf seas. This paper investigates the mechanism, variability and pathways of the fresh Kara Sea outflow through Vilkitsky Strait towards the Laptev Sea. We utilize a high-resolution ocean model and recent shipboard observations to characterize the freshwater-laden Vilkitsky Strait Current (VSC), and shed new light on the little-studied region between the Kara and Laptev Seas, characterized by harsh ice conditions, contrasting water masses, straits and a large submarine canyon. The VSC is 10-20 km wide, surface-intensified, and varies seasonally (maximum from August-March) and interannually. Average freshwater (volume) transport is 500 ± 120 km3 a-1 (0.53 ± 0.08 Sv), with a baroclinic flow contribution of 50-90%. Interannual transport variability is explained by a storage-release mechanism, where blocking-favorable summer winds hamper the outflow and cause accumulation of freshwater in the Kara Sea. The year following a blocking event is characterized by enhanced transports driven by a baroclinic flow along the coast that is set up by increased freshwater volumes. Eventually, the VSC merges with a slope current and provides a major pathway for Eurasian river water towards the Western Arctic along the Eurasian continental slope. Kara (and Laptev) Sea freshwater transport is not correlated with the Arctic Oscillation, but rather driven by regional summer pressure patterns.

  19. Summers with low Arctic sea ice linked to persistence of spring atmospheric circulation patterns

    NASA Astrophysics Data System (ADS)

    Kapsch, Marie-Luise; Skific, Natasa; Graversen, Rune G.; Tjernström, Michael; Francis, Jennifer A.

    2018-05-01

    The declining trend of Arctic September sea ice constitutes a significant change in the Arctic climate system. Large year-to-year variations are superimposed on this sea-ice trend, with the largest variability observed in the eastern Arctic Ocean. Knowledge of the processes important for this variability may lead to an improved understanding of seasonal and long-term changes. Previous studies suggest that transport of heat and moisture into the Arctic during spring enhances downward surface longwave radiation, thereby controlling the annual melt onset, setting the stage for the September ice minimum. In agreement with these studies, we find that years with a low September sea-ice concentration (SIC) are characterized by more persistent periods in spring with enhanced energy flux to the surface in forms of net longwave radiation plus turbulent fluxes, compared to years with a high SIC. Two main atmospheric circulation patterns related to these episodes are identified: one resembles the so-called Arctic dipole anomaly that promotes transport of heat and moisture from the North Pacific, whereas the other is characterized by negative geopotential height anomalies over the Arctic, favoring cyclonic flow from Siberia and the Kara Sea into the eastern Arctic Ocean. However, differences between years with low and high September SIC appear not to be due to different spring circulation patterns; instead it is the persistence and intensity of processes associated with these patterns that distinguish the two groups of anomalous years: Years with low September SIC feature episodes that are consistently stronger and more persistent than years with high SIC.

  20. Characteristics of radionuclide accumulation in benthic organisms and fish of the Barents and Kara Seas

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Matishov, G.G.; Matishov, D.G.; Rissanen, C.

    1995-05-01

    Artificial radionuclides play a specific role in the hydrochemical, geochemical, and hydrobiological processes that are currently occurring in the western Arctic. The existing data on radioactive contamination of different plant and animal species inhabiting the sea shelf are fragmentary. Hence, it was difficult to follow the transformation of radionuclides during their transmission along food chains, from phyto- and zoo-plankton to benthos, fish, birds, and marine mammals. In 1990-1994, the Murmansk Institute of Marine Biology organized expeditions to collect samples of residues on the sea floor and also of benthos, benthic fish, macrophytes, and other organisms inhabiting the shelf of themore » Barents and Kara Seas. These samples were tested for cesium-137, cesium-134, strontium-90, plutonium-239, plutonium-240, americium-241, and cobalt-60 in Rovaniemi (Finland) by the regional radiation administration of the Finnish Centre for Radiation and Nuclear Safety. Over 1000 tests were made. Their results provided new data on the content and distribution of these radionuclides among different components of marine ecosystems. 7 refs.« less

  1. Springtime extreme moisture transport into the Arctic and its impact on sea ice concentration

    NASA Astrophysics Data System (ADS)

    Yang, Wenchang; Magnusdottir, Gudrun

    2017-05-01

    Recent studies suggest that springtime moisture transport into the Arctic can initiate sea ice melt that extends to a large area in the following summer and fall, which can help explain Arctic sea ice interannual variability. Yet the impact from an individual moisture transport event, especially the extreme ones, is unclear on synoptic to intraseasonal time scales and this is the focus of the current study. Springtime extreme moisture transport into the Arctic from a daily data set is found to be dominant over Atlantic longitudes. Lag composite analysis shows that these extreme events are accompanied by a substantial sea ice concentration reduction over the Greenland-Barents-Kara Seas that lasts around a week. Surface air temperature also becomes anomalously high over these seas and cold to the west of Greenland as well as over the interior Eurasian continent. The blocking weather regime over the North Atlantic is mainly responsible for the extreme moisture transport, occupying more than 60% of the total extreme days, while the negative North Atlantic Oscillation regime is hardly observed at all during the extreme transport days. These extreme moisture transport events appear to be preceded by eastward propagating large-scale tropical convective forcing by as long as 2 weeks but with great uncertainty due to lack of statistical significance.

  2. Arctic Sea Ice Variability and Trends, 1979-2006

    NASA Technical Reports Server (NTRS)

    Parkinson, Claire L.; Cavalieri, Donald J.

    2008-01-01

    Analysis of Arctic sea ice extents derived from satellite passive-microwave data for the 28 years, 1979-2006 yields an overall negative trend of -45,100 +/- 4,600 km2/yr (-3.7 +/- 0.4%/decade) in the yearly averages, with negative ice-extent trends also occurring for each of the four seasons and each of the 12 months. For the yearly averages the largest decreases occur in the Kara and Barents Seas and the Arctic Ocean, with linear least squares slopes of -10,600 +/- 2,800 km2/yr (-7.4 +/- 2.0%/decade) and -10,100 +/- 2,200 km2/yr (-1.5 +/- 0.3%/decade), respectively, followed by Baffin Bay/Labrador Sea, with a slope of -8,000 +/- 2,000 km2/yr) -9.0 +/- 2.3%/decade), the Greenland Sea, with a slope of -7,000 +/- 1,400 km2/yr (-9.3 +/- 1.9%/decade), and Hudson Bay, with a slope of -4,500 +/- 900 km2/yr (-5.3 +/- 1.1%/decade). These are all statistically significant decreases at a 99% confidence level. The Seas of Okhotsk and Japan also have a statistically significant ice decrease, although at a 95% confidence level, and the three remaining regions, the Bering Sea, Canadian Archipelago, and Gulf of St. Lawrence, have negative slopes that are not statistically significant. The 28-year trends in ice areas for the Northern Hemisphere total are also statistically significant and negative in each season, each month, and for the yearly averages.

  3. Trends in trace organic and metal concentrations in the Pechora and Kara Seas and adjacent rivers

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Brooks, J.M.; Champ, M.A.; Wade, T.L.

    1995-12-31

    Trace organic (pesticides, PCBs, PAHs and dioxin/furan) and trace metal concentrations have been measured in surficial sediment and tissue (i.e., clam, fish liver and flesh) samples from the Pechora and Kara Seas and their adjacent rivers -- Pechora, Ob and Yenisey Rivers. Total PAH, PCB and total DDT and chlordane concentrations ranged in surficial sediments from n.d. to 810 ppb, n.d.--8.7 ppb, n.d.--1.2 ppb, and n.d.--1.2 ppb, respectively, in a suite of 40 samples from the Kara Sea and its adjacent rivers. The highest concentrations of many of the trace organic and metal contaminants were found in the lower partmore » of the Yenisey River below the salt wedge. Some trace metals (As for example) were elevated in the Pechora River dispositional plume region. Dioxin ranged from 1.36 to 413 ppt in a subset of 20 sediment samples. Higher trace organic contaminant concentrations compared to sediments were found in tissue samples from the region, especially fish liver samples. Concentrations as high as 1,114 ppb total PAHs, 89 ppb chlordane, 1,011 ppb for total DDT and 663 ppb PCBs were found in some fish liver samples. Dioxin concentrations in tissue samples ranged from 11.7 to 61 ppt. Concentrations of many trace organic and metal contaminants in these Russian marginal seas are influenced by inputs from these large Arctic rivers. Many organic contaminant concentrations in sediments are low, however detecting these compounds in tissue show they are bioavailable.« less

  4. International Arctic Seas Assessment Project.

    PubMed

    Sjöblom, K L; Salo, A; Bewers, J M; Cooper, J; Dyer, R S; Lynn, N M; Mount, M E; Povinec, P P; Sazykina, T G; Schwarz, J; Scott, E M; Sivintsev, Y V; Tanner, J E; Warden, J M; Woodhead, D

    1999-09-30

    The International Atomic Energy Agency responded to the news that the former Soviet Union had dumped radioactive wastes in the shallow waters of the Arctic Seas, by launching the International Arctic Seas Assessment Project in 1993. The project had two objectives: to assess the risks to human health and to the environment associated with the radioactive wastes dumped in the Kara and Barents Seas; and to examine possible remedial actions related to the dumped wastes and to advise on whether they are necessary and justified. The current radiological situation in the Arctic waters was examined to assess whether there is any evidence for releases from the dumped waste. Potential future releases from the dumped wastes were predicted, concentrating on the high-level waste objects containing the major part of the radionuclide inventory of the wastes. Environmental transport of released radionuclides was modelled and the associated radiological impact on humans and the biota was assessed. The feasibility, costs and benefits of possible remedial measures applied to a selected high-level waste object were examined. Releases from identified dumped objects were found to be small and localised to the immediate vicinity of the dumping sites. Projected future annual doses to members of the public in typical local population groups were very small, less than 1 microSv--corresponding to a trivial risk. Projected future doses to a hypothetical group of military personnel patrolling the foreshore of the fjords in which wastes have been dumped were higher, up to 4 mSv/year, which still is of the same order as the average annual natural background dose. Moreover, since any of the proposed remedial actions were estimated to cost several million US$ to implement, remediation was not considered justified on the basis of potentially removing a collective dose of 10 man Sv. Doses calculated to marine fauna were insignificant, orders of magnitude below those at which detrimental effects on

  5. Variability and Trends in the Arctic Sea Ice Cover: Results from Different Techniques

    NASA Technical Reports Server (NTRS)

    Comiso, Josefino C.; Meier, Walter N.; Gersten, Robert

    2017-01-01

    Variability and trend studies of sea ice in the Arctic have been conducted using products derived from the same raw passive microwave data but by different groups using different algorithms. This study provides consistency assessment of four of the leading products, namely, Goddard Bootstrap (SB2), Goddard NASA Team (NT1), EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI-SAF 1.2), and Hadley HadISST 2.2 data in evaluating variability and trends in the Arctic sea ice cover. All four provide generally similar ice patterns but significant disagreements in ice concentration distributions especially in the marginal ice zone and adjacent regions in winter and meltponded areas in summer. The discrepancies are primarily due to different ways the four techniques account for occurrences of new ice and meltponding. However, results show that the different products generally provide consistent and similar representation of the state of the Arctic sea ice cover. Hadley and NT1 data usually provide the highest and lowest monthly ice extents, respectively. The Hadley data also show the lowest trends in ice extent and ice area at negative 3.88 percent decade and negative 4.37 percent decade, respectively, compared to an average of negative 4.36 percent decade and negative 4.57 percent decade for all four. Trend maps also show similar spatial distribution for all four with the largest negative trends occurring at the Kara/Barents Sea and Beaufort Sea regions, where sea ice has been retreating the fastest. The good agreement of the trends especially with updated data provides strong confidence in the quantification of the rate of decline in the Arctic sea ice cover.

  6. SONARC: A Sea Ice Monitoring and Forecasting System to Support Safe Operations and Navigation in Arctic Seas

    NASA Astrophysics Data System (ADS)

    Stephenson, S. R.; Babiker, M.; Sandven, S.; Muckenhuber, S.; Korosov, A.; Bobylev, L.; Vesman, A.; Mushta, A.; Demchev, D.; Volkov, V.; Smirnov, K.; Hamre, T.

    2015-12-01

    Sea ice monitoring and forecasting systems are important tools for minimizing accident risk and environmental impacts of Arctic maritime operations. Satellite data such as synthetic aperture radar (SAR), combined with atmosphere-ice-ocean forecasting models, navigation models and automatic identification system (AIS) transponder data from ships are essential components of such systems. Here we present first results from the SONARC project (project term: 2015-2017), an international multidisciplinary effort to develop novel and complementary ice monitoring and forecasting systems for vessels and offshore platforms in the Arctic. Automated classification methods (Zakhvatkina et al., 2012) are applied to Sentinel-1 dual-polarization SAR images from the Barents and Kara Sea region to identify ice types (e.g. multi-year ice, level first-year ice, deformed first-year ice, new/young ice, open water) and ridges. Short-term (1-3 days) ice drift forecasts are computed from SAR images using feature tracking and pattern tracking methods (Berg & Eriksson, 2014). Ice classification and drift forecast products are combined with ship positions based on AIS data from a selected period of 3-4 weeks to determine optimal vessel speed and routing in ice. Results illustrate the potential of high-resolution SAR data for near-real-time monitoring and forecasting of Arctic ice conditions. Over the next 3 years, SONARC findings will contribute new knowledge about sea ice in the Arctic while promoting safe and cost-effective shipping, domain awareness, resource management, and environmental protection.

  7. Sea Ice, Hydrocarbon Extraction, Rain-on-Snow and Tundra Reindeer Nomadism in Arctic Russia

    NASA Astrophysics Data System (ADS)

    Forbes, B. C.; Kumpula, T.; Meschtyb, N.; Laptander, R.; Macias-Fauria, M.; Zetterberg, P.; Verdonen, M.

    2015-12-01

    It is assumed that retreating sea ice in the Eurasian Arctic will accelerate hydrocarbon development and associated tanker traffic along Russia's Northern Sea Route. However, oil and gas extraction along the Kara and Barents Sea coasts will likely keep developing rapidly regardless of whether the Northwest Eurasian climate continues to warm. Less certain are the real and potential linkages to regional biota and social-ecological systems. Reindeer nomadism continues to be a vitally important livelihood for indigenous tundra Nenets and their large herds of semi-domestic reindeer. Warming summer air temperatures over the NW Russian Arctic have been linked to increases in tundra productivity, longer growing seasons, and accelerated growth of tall deciduous shrubs. These temperature increases have, in turn, been linked to more frequent and sustained summer high-pressure systems over West Siberia, but not to sea ice retreat. At the same time, winters have been warming and rain-on-snow (ROS) events have become more frequent and intense, leading to record-breaking winter and spring mortality of reindeer. What is driving this increase in ROS frequency and intensity is not clear. Recent modelling and simulation have found statistically significant near-surface atmospheric warming and precipitation increases during autumn and winter over Arctic coastal lands in proximity to regions of sea-ice loss. During the winter of 2013-14 an extensive and lasting ROS event led to the starvation of 61,000 reindeer out of a population of ca. 300,000 animals on Yamal Peninsula, West Siberia. Historically, this is the region's largest recorded mortality episode. More than a year later, participatory fieldwork with nomadic herders during spring-summer 2015 revealed that the ecological and socio-economic impacts from this extreme event will unfold for years to come. There is an urgent need to understand whether and how ongoing Barents and Kara Sea ice retreat may affect the region's ancient

  8. Changes in the Areal Extent of Arctic Sea Ice: Observations from Satellites

    NASA Technical Reports Server (NTRS)

    Parkinson, Claire L.

    2000-01-01

    Wintertime sea ice covers 15 million square kilometers of the north polar region, an area exceeding one and a half times the area of the U. S. Even at the end of the summer melt season, sea ice still covers 7 million square kilometers. This vast ice cover is an integral component of the climate system, being moved around by winds and waves, restricting heat and other exchanges between the ocean and atmosphere, reflecting most of the solar radiation incident on it, transporting cold, relatively fresh water equatorward, and affecting the overturning of ocean waters underneath, with impacts that can be felt worldwide. Sea ice also is a major factor in the Arctic ecosystem, affecting life forms ranging from minute organisms living within the ice, sometimes to the tune of millions in a single ice floe, to large marine mammals like walruses that rely on sea ice as a platform for resting, foraging, social interaction, and breeding. Since 1978, satellite technology has allowed the monitoring of the vast Arctic sea ice cover on a routine basis. The satellite observations reveal that, overall, the areal extent of Arctic sea ice has been decreasing since 1978, at an average rate of 2.7% per decade through the end of 1998. Through 1998, the greatest rates of decrease occurred in the Seas of Okhotsk and Japan and the Kara and Barents Seas, with most other regions of the Arctic also experiencing ice extent decreases. The two regions experiencing ice extent increases over this time period were the Bering Sea and the Gulf of St. Lawrence. Furthermore, the satellite data reveal that the sea ice season shortened by over 25 days per decade in the central Sea of Okhotsk and the eastern Barents Sea, and by lesser amounts throughout much of the rest of the Arctic seasonal sea ice region, although not in the Bering Sea or the Gulf of St. Lawrence. Concern has been raised that if the trends toward shortened sea ice seasons and lesser sea ice coverage continue, this could entail major

  9. Chapter 1: An overview of the petroleum geology of the Arctic

    USGS Publications Warehouse

    Spencer, A.M.; Embry, A.F.; Gautier, D.L.; Stoupakova, A.V.; Sorensen, K.

    2011-01-01

    Nine main petroleum provinces containing recoverable resources totalling 61 Bbbl liquids + 269 Bbbloe of gas are known in the Arctic. The three best known major provinces are: West Siberia-South Kara, Arctic Alaska and Timan-Pechora. They have been sourced principally from, respectively, Upper Jurassic, Triassic and Devonian marine source rocks and their hydrocarbons are reservoired principally in Cretaceous sandstones, Triassic sandstones and Palaeozoic carbonates. The remaining six provinces except for the Upper Cretaceous-Palaeogene petroleum system in the Mackenzie Delta have predominantly Mesozoic sources and Jurassic reservoirs. There are discoveries in 15% of the total area of sedimentary basins (c. 8 ?? 106 km2), dry wells in 10% of the area, seismic but no wells in 50% and no seismic in 25%. The United States Geological Survey estimate yet-to-find resources to total 90 Bbbl liquids + 279 Bbbloe gas, with four regions - South Kara Sea, Alaska, East Barents Sea, East Greenland - dominating. Russian estimates of South Kara Sea and East Barents Sea are equally positive. The large potential reflects primarily the large undrilled areas, thick basins and widespread source rocks. ?? 2011 The Geological Society of London.

  10. Observing Arctic Sea Ice from Bow to Screen: Introducing Ice Watch, the Data Network of Near Real-Time and Historic Observations from the Arctic Shipborne Sea Ice Standardization Tool (ASSIST)

    NASA Astrophysics Data System (ADS)

    Orlich, A.; Hutchings, J. K.; Green, T. M.

    2013-12-01

    The Ice Watch Program is an open source forum to access in situ Arctic sea ice conditions. It provides the research community and additional stakeholders a convenient resource to monitor sea ice and its role in understanding the Arctic as a system by implementing a standardized observation protocol and hosting a multi-service data portal. International vessels use the Arctic Shipborne Sea Ice Standardization Tool (ASSIST) software to report near-real time sea ice conditions while underway. Essential observations of total ice concentration, distribution of multi-year ice and other ice types, as well as their respective stage of melt are reported. These current and historic sea ice conditions are visualized on interactive maps and in a variety of statistical analyses, and with all data sets available to download for further investigation. The summer of 2012 was the debut of the ASSIST software and the Ice Watch campaign, with research vessels from six nations reporting from a wide spatio-temporal scale spanning from the Beaufort Sea, across the North Pole and Arctic Basin, the coast of Greenland and into the Kara and Barents Seas during mid-season melt and into the first stages of freeze-up. The 2013 summer field season sustained the observation and data archiving record, with participation from some of the same cruises as well as other geographic and seasonal realms covered by new users. These results are presented to illustrate the evolution of the program, increased participation and critical statistics of ice regime change and record of melt and freeze processes revealed by the data. As an ongoing effort, Ice Watch/ASSIST aims to standardize observations of Arctic-specific sea ice features and conditions while utilizing nomenclature and coding based on the World Meteorological Organization (WMO) standards and the Antarctic Sea Ice and Processes & Climate (ASPeCt) protocol. Instigated by members of the CliC Sea Ice Working Group, the program has evolved with

  11. Warm Arctic-cold Siberia: comparing the recent and the early 20th-century Arctic warmings

    NASA Astrophysics Data System (ADS)

    Wegmann, Martin; Orsolini, Yvan; Zolina, Olga

    2018-02-01

    The Warm Arctic-cold Siberia surface temperature pattern during recent boreal winter is suggested to be triggered by the ongoing decrease of Arctic autumn sea ice concentration and has been observed together with an increase in mid-latitude extreme events and a meridionalization of tropospheric circulation. However, the exact mechanism behind this dipole temperature pattern is still under debate, since model experiments with reduced sea ice show conflicting results. We use the early twentieth-century Arctic warming (ETCAW) as a case study to investigate the link between September sea ice in the Barents-Kara Sea (BKS) and the Siberian temperature evolution. Analyzing a variety of long-term climate reanalyses, we find that the overall winter temperature and heat flux trend occurs with the reduction of September BKS sea ice. Tropospheric conditions show a strengthened atmospheric blocking over the BKS, strengthening the advection of cold air from the Arctic to central Siberia on its eastern flank, together with a reduction of warm air advection by the westerlies. This setup is valid for both the ETCAW and the current Arctic warming period.

  12. Contemporary Arctic Sea Level

    NASA Astrophysics Data System (ADS)

    Cazenave, A. A.

    2017-12-01

    During recent decades, the Arctic region has warmed at a rate about twice the rest of the globe. Sea ice melting is increasing and the Greenland ice sheet is losing mass at an accelerated rate. Arctic warming, decrease in the sea ice cover and fresh water input to the Arctic ocean may eventually impact the Arctic sea level. In this presentation, we review our current knowledge of contemporary Arctic sea level changes. Until the beginning of the 1990s, Arctic sea level variations were essentially deduced from tide gauges located along the Russian and Norwegian coastlines. Since then, high inclination satellite altimetry missions have allowed measuring sea level over a large portion of the Arctic Ocean (up to 80 degree north). Measuring sea level in the Arctic by satellite altimetry is challenging because the presence of sea ice cover limits the full capacity of this technique. However adapted processing of raw altimetric measurements significantly increases the number of valid data, hence the data coverage, from which regional sea level variations can be extracted. Over the altimetry era, positive trend patterns are observed over the Beaufort Gyre and along the east coast of Greenland, while negative trends are reported along the Siberian shelf. On average over the Arctic region covered by satellite altimetry, the rate of sea level rise since 1992 is slightly less than the global mea sea level rate (of about 3 mm per year). On the other hand, the interannual variability is quite significant. Space gravimetry data from the GRACE mission and ocean reanalyses provide information on the mass and steric contributions to sea level, hence on the sea level budget. Budget studies show that regional sea level trends over the Beaufort Gyre and along the eastern coast of Greenland, are essentially due to salinity changes. However, in terms of regional average, the net steric component contributes little to the observed sea level trend. The sea level budget in the Arctic

  13. Integrating Observations and Models to Better Understand a Changing Arctic Sea Ice Cover

    NASA Astrophysics Data System (ADS)

    Stroeve, J. C.

    2017-12-01

    TThe loss of the Arctic sea ice cover has captured the world's attention. While much attention has been paid to the summer ice loss, changes are not limited to summer. The last few winters have seen record low sea ice extents, with 2017 marking the 3rdyear in a row with a new record low for the winter maximum extent. More surprising is the number of consecutive months between January 2016 through April 2017 with ice extent anomalies more than 2 standard deviations below the 1981-2010 mean. Additionally, October 2016 through April 2017 saw 7 consecutive months with record low extents, something that had not happened before in the last 4 decades of satellite observations. As larger parts of the Arctic Ocean become ice-free in summer, regional seas gradually transition from a perennial to a seasonal ice cover. The Barents Sea is already only seasonally ice covered, whereas the Kara Sea has recently lost most of its summer ice and is thereby starting to become a seasonally ice covered region. These changes serve as harbinger for what's to come for other Arctic seas. Given the rapid pace of change, there is an urgent need to improve our understanding of the drivers behind Arctic sea ice loss, the implications of this ice loss and to predict future changes to better inform policy makers. Climate models play a fundamental role in helping us synthesize the complex elements of the Arctic sea ice system yet generally fail to simulate key features of the sea ice system and the pace of sea ice loss. Nevertheless, modeling advances continue to provide better means of diagnosing sea ice change, and new insights are likely to be gained with model output from the 6th phase of the Coupled Model Intercomparison Project (CMIP6). The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP) aim is to better understand biases and errors in sea ice simulations so that we can improve our understanding of the likely future evolution of the sea ice cover and its impacts on global climate. To

  14. Arctic Ocean sea ice drift origin derived from artificial radionuclides.

    PubMed

    Cámara-Mor, P; Masqué, P; Garcia-Orellana, J; Cochran, J K; Mas, J L; Chamizo, E; Hanfland, C

    2010-07-15

    Since the 1950s, nuclear weapon testing and releases from the nuclear industry have introduced anthropogenic radionuclides into the sea, and in many instances their ultimate fate are the bottom sediments. The Arctic Ocean is one of the most polluted in this respect, because, in addition to global fallout, it is impacted by regional fallout from nuclear weapon testing, and indirectly by releases from nuclear reprocessing facilities and nuclear accidents. Sea-ice formed in the shallow continental shelves incorporate sediments with variable concentrations of anthropogenic radionuclides that are transported through the Arctic Ocean and are finally released in the melting areas. In this work, we present the results of anthropogenic radionuclide analyses of sea-ice sediments (SIS) collected on five cruises from different Arctic regions and combine them with a database including prior measurements of these radionuclides in SIS. The distribution of (137)Cs and (239,240)Pu activities and the (240)Pu/(239)Pu atom ratio in SIS showed geographical differences, in agreement with the two main sea ice drift patterns derived from the mean field of sea-ice motion, the Transpolar Drift and Beaufort Gyre, with the Fram Strait as the main ablation area. A direct comparison of data measured in SIS samples against those reported for the potential source regions permits identification of the regions from which sea ice incorporates sediments. The (240)Pu/(239)Pu atom ratio in SIS may be used to discern the origin of sea ice from the Kara-Laptev Sea and the Alaskan shelf. However, if the (240)Pu/(239)Pu atom ratio is similar to global fallout, it does not provide a unique diagnostic indicator of the source area, and in such cases, the source of SIS can be constrained with a combination of the (137)Cs and (239,240)Pu activities. Therefore, these anthropogenic radionuclides can be used in many instances to determine the geographical source area of sea-ice. Copyright 2010 Elsevier B.V. All

  15. Development of Oil Spill Monitoring System for the Black Sea, Caspian Sea and the Barents/Kara Seas (DEMOSS)

    NASA Astrophysics Data System (ADS)

    Sandven, Stein; Kudriavtsev, Vladimir; Malinovsky, Vladimir; Stanovoy, Vladimir

    2008-01-01

    DEMOSS will develop and demonstrate elements of a marine oil spill detection and prediction system based on satellite Synthetic Aperture Radar (SAR) and other space data. In addition, models for prediction of sea surface pollution drift will be developed and tested. The project implements field experiments to study the effect of artificial crude oil and oil derivatives films on short wind waves and multi-frequency (Ka-, Ku-, X-, and C-band) dual polarization radar backscatter power and Doppler shift at different wind and wave conditions. On the basis of these and other available experimental data, the present model of short wind waves and radar scattering will be improved and tested.A new approach for detection and quantification of the oil slicks/spills in satellite SAR images is developed that can discriminate human oil spills from biogenic slicks and look-alikes in the SAR images. New SAR images are obtained in coordination with the field experiments to test the detection algorithm. Satellite SAR images from archives as well as from new acquisitions will be analyzed for the Black/Caspian/Kara/Barents seas to investigate oil slicks/spills occurrence statistics.A model for oil spills/slicks transport and evolution is developed and tested in ice-infested arctic seas, including the Caspian Sea. Case studies using the model will be conducted to simulate drift and evolution of oil spill events observed in SAR images. The results of the project will be disseminated via scientific publications and by demonstration to users and agencies working with marine monitoring. The project lasts for two years (2007 - 2009) and is funded under INTAS Thematic Call with ESA 2006.

  16. Contribution from the Yenisei River to the total radioactive contamination of the Kara Sea

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Kuznetsov, Yu.V.; Revenko, Yu.A.; Legin, V.K.

    1995-07-01

    An attempt is made to estimate the contribution from the Yenisei River and, therefore, the Krasnoyarsk Mining and Chemical Plant (MCP), which discharged wastewaters to the Yenisei, to the total contamination of the Kara Sea using results from a study of the radioactive contamination of the Yenisei River, Yenisei Bay, Yenisei Gulf, and the Kara Sea itself. Radionuclides generated from using river water in cooling circuits of production reactors make the largest contribution to the total activity. The radioactive contamination of the river decreased by more than 20 times after two of the three operating reactors were shut down. Onlymore » several wetlands are actually affected by MCP hundreds of kilometers from the discharge point.« less

  17. Pre-rift sedimentation of the Lomonosov Ridge, Arctic Ocean at 84°N - A correlation to the complex geologic evolution of the conjugated Kara Sea

    NASA Astrophysics Data System (ADS)

    Sauermilch, Isabel; Weigelt, Estella; Jokat, Wilfried

    2018-07-01

    The Arctic Ocean region plays, and has played in the geological past, a key role for Earth's climate and oceanic circulation and their evolution. Studying the Lomonosov Ridge, a narrow submarine continental ridge in the central Arctic Ocean, is essential to answer fundamental questions related to the complex tectonic evolution of the Arctic basins, the glacial history, and the details of known paleoceanographic changes in the Cenozoic. In this study, we present a new seismic dataset that provides insights into the sedimentary structures along the ridge, their possible origin, age and formation. We compare the structure and stratigraphy of the deeper parts of the ridge between 83°N and 84°30‧N to its conjugate, the Severnaya Zemlya Archipelago at the Eurasia margin. We propose that some sediment sequences directly underlying the prominent HARS (High Amplitude Reflector Sequence) formed well before the ridge separated from the Barents and Kara shelves and represent a prolongation of the North Kara Terrane, most likely part of the Neoproterozoic Timanide orogen. Towards Siberia along the Lomonosov Ridge, we interpret the HARS to be underlain by Upper Proterozoic-Lower Paleozoic metasedimentary material that is correlated to metamorphic complexes exposed on Bol'shevik Island. Northward, this unit descends and gives way to a foreland sedimentary basin complex of presumed Ordovician/Devonian age, which underwent strong deformation during the Triassic/Jurassic Novaya Zemlya orogeny. The transition zone between these units might mark a conjugate continuation of the Eurasian margin's Bol'shevik-Thrust Zone. A prominent erosional unconformity is observed over these strongly deformed foreland basins of the Eurasian and Lomonosov Ridge margins, and is conceivably related to vertical tectonics during breakup or a later basin-wide erosional event.

  18. Human impact on dynamics of Barents and Kara Seas Coasts

    NASA Astrophysics Data System (ADS)

    Ogorodov, Stanislav

    2013-04-01

    The coasts of Barents and Kara Seas which are composed of unconsolidated deposits have poor erosion resistance qualities. In natural conditions such coasts may retreat with a rate of 1 to 2 m a year. Under the influence of human activities this rate can double and even triple. Over the last twenty years the human impact on the natural coastal geosystems has noticeably increased due to the latest oil and gas developments on the sea shelf and coasts of the Russian North. A range of facilities - oil custody terminals for drilling and production platforms, submerged pipelines, ports and other industrial features and residential infrastructure - are currently being operated in the coastal and shelf zones. In most of the cases no morphodynamic or lithodynamic features of the coastal zone had been taken into account during the construction or operation of these facilities. This results in a disturbance of the sediment transport in the coastal zone, which triggers active erosion of both the shore itself and the coastal slope beneath. The operated facilities themselves are then threatened as their destruction is possible and often no new facilities can be constructed in the disturbed area. The operating companies have to bear forced nonmanufacturing expenses to protect or move their facilities of oil and gas industry to new areas. We may cite here three instances for Barents and Kara Seas where human impact has already brought in negative effects. One of the examples is Varandey Coast of the Barents Sea. From 1979 to 2012 a deliberate destruction of the dune chain of the barrier beach by vehicle traffic and a removal of the beach material for construction needs led to a quick intensification of the coastal retreat here. And now, storm surges without hindrance penetrate inland for several kilometers. Let's move further east to the Kara Sea: on to Kharasavey Coast to the Yamal Peninsula. A large-scale extraction of sediments from the coastal slope has resulted in a depletion

  19. Recent Trends in the Arctic Navigable Ice Season and Links to Atmospheric Circulation

    NASA Astrophysics Data System (ADS)

    Maslanik, J.; Drobot, S.

    2002-12-01

    One of the potential effects of Arctic climate warming is an increase in the navigable ice season, perhaps resulting in development of the Arctic as a major shipping route. The distance from western North American ports to Europe through the Northwest Passage (NWP) or the Northern Sea Route (NSR) is typically 20 to 60 percent shorter than travel through the Panama Canal, while travel between Europe and the Far East may be reduced by as much as three weeks compared to transport through the Suez Canal. An increase in the navigable ice season would also improve commercial opportunities within the Arctic region, such as mineral and oil exploration and tourism, which could potentially expand the economic base of Arctic residents and companies, but which would also have negative environmental impacts. Utilizing daily passive-microwave derived sea ice concentrations, trends and variability in the Arctic navigable ice season are examined from 1979 through 2001. Trend analyses suggest large increases in the length of the navigable ice season in the Kara and Barents seas, the Sea of Okhotsk, and the Beaufort Sea, with decreases in the length of the navigable ice season in the Bering Sea. Interannual variations in the navigable ice season largely are governed by fluctuations in low-frequency atmospheric circulation, although the specific annular modes affecting the length of the navigable ice season vary by region. In the Beaufort and East Siberian seas, variations in the North Atlantic Oscillation/Arctic Oscillation control the navigable ice season, while variations in the East Pacific anomaly play an important role in controlling the navigable ice season in the Kara and Barents seas. In Hudson Bay, the Canadian Arctic Archipelago, and Baffin Bay, interannual variations in the navigable ice season are strongly related to the Pacific Decadal Oscillation.

  20. Methane Release and Pingo-Like Feature Across the South kara Sea Shels, an Area of Thawing Offshore Permafrost

    NASA Astrophysics Data System (ADS)

    Serov, P.; Portnov, A.; Mienert, J.

    2015-12-01

    Thawing subsea permafrost controls methane release from the Russian Arctic shelf having a considerable impact on the climate-sensitive Arctic environment. Our recent studies revealed extensive gas release over an area of at least 7500 km2and presence of pingo-like features (PLFs), showing severe methane leakage, in the South Kara Sea in water depths >20m (Serov et al., 2015). Specifically, we detected shallow methane ebullition sites expressed in water column acoustic anomalies (gas flares and gas fronts) and areas of increased dissolved methane concentrations in bottom water, which might be sufficient sources of carbon for seawater-atmosphere exchange. A study of nature and source of leaking gas was focused on two PLFs, which are acoustically transparent circular mounds towering 5-9 m above the surrounding seafloor. One PLF (PLF 2) connects to biogenic gas from deeper sources, which is reflected in δ13CCH4 values ranging from -55,1‰ to -88,0‰ and δDCH4values varied from -175‰ to -246‰. Low organic matter content (0.52-1.69%) of seafloor sediments restricts extensive in situ methane production. The formation of PLF 2 is directly linked to the thawing of subsea permafrost and, possibly, decomposition of permafrost related gas hydrates. High accumulations of biogenic methane create the necessary forces to push the remaining frozen layers upwards and, therefore, form a topographic feature. We speculate that PLF 1, which shows ubiquitously low methane concentrations, is either a relict submerged terrestrial pingo, or a PLF lacking the necessary underlying methane accumulations. Our model of glacial-interglacial permafrost evolution supports a scenario in which subsea permafrost tapers seaward and pinches out at 20m isobaths, controlling observed methane emissions and development of PLFs. Serov. P., A. Portnov, J. Mienert, P. Semenov, and P. Ilatovskaya (2015), Methane release from pingo-like features across the South Kara Sea shelf, an area of thawnig

  1. Monitoring industrial contaminants release to Russian Arctic rivers

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    1995-12-31

    Reports suggest that over 100 billion metric tons of mixed industrial wastes have been dumped or disposed of in the Northern and Arctic regions of the former Soviet Union in crude landfill facilities or directly into rivers. GERG has undertaken studies in two of the principal river systems transporting contaminants from large watersheds to the Arctic Ocean and Kara Seas, and has obtained samples of sediment and biota for analysis. In the current phase of the study, 20 surficial sediments down each of the axis of the Ob and Yenisey Rivers into the Kara Sea were analyzed for industrially derivedmore » trace organic compounds (hydrocarbons, pesticides, PCBs) and trace metals. Twenty sediments from the two rivers were subjected to high resolution OCIMS analysis for dioxins, furans, and coplanar PCBs to determine the concentrations of these industrial pollutants. In addition, similar analyses were conducted on 10 tissue samples (fish and other invertebrate animals) down the axis of each river.« less

  2. Radioactive contamination from dumped nuclear waste in the Kara Sea--results from the joint Russian-Norwegian expeditions in 1992-1994.

    PubMed

    Salbu, B; Nikitin, A I; Strand, P; Christensen, G C; Chumichev, V B; Lind, B; Fjelldal, H; Bergan, T D; Rudjord, A L; Sickel, M; Valetova, N K; Føyn, L

    1997-08-25

    Russian-Norwegian expeditions to the Kara Sea and to dumping sites in the fjords of Novaya Zemlya have taken place annually since 1992. In the fjords, dumped objects were localised with sonar and ROV equipped with underwater camera. Enhanced levels of 137Cs, 60Co, 90Sr and 239,240Pu in sediments close to dumped containers in the Abrosimov and Stepovogo fjords demonstrated that leaching from dumped material has taken place. The contamination was inhomogeneously distributed and radioactive particles were identified in the upper 10 cm of the sediments. 137Cs was strongly associated with sediments, while 90Sr was more mobile. The contamination was less pronounced in the areas where objects presumed to be reactor compartments were located. The enhanced level of radionuclides observed in sediments close to the submarine in Stepovogo fjord in 1993 could, however, not be confirmed in 1994. Otherwise, traces of 60Co in sediments were observed in the close vicinity of all localised objects. Thus, the general level of radionuclides in waters, sediments and biota in the fjords is, somewhat higher or similar to that of the open Kara Sea, i.e. significantly lower than in other adjacent marine systems (e.g. Irish Sea, Baltic Sea, North Sea). The main sources contributing to radioactive contamination were global fallout from atmospheric nuclear weapon tests, river transport from Ob and Yenisey, marine transport of discharges from Sellafield, UK and fallout from Chernobyl. Thus, the radiological impact to man and the arctic environment of the observed leakages from dumped radioactive waste today, is considered to be low. Assuming all radionuclides are released from the waste, preliminary assessments indicate a collective dose to the world population of less than 50 man Sv.

  3. Distribution of trace gases and aerosols in the troposphere over West Siberia and Kara Sea

    NASA Astrophysics Data System (ADS)

    Belan, Boris D.; Arshinov, Mikhail Yu.; Paris, Jean-Daniel; Nédélec, Philippe; Ancellet, Gérard; Pelon, Jacques; Berchet, Antoine; Arzoumanian, Emmanuel; Belan, Sergey B.; Penner, Johannes E.; Balin, Yurii S.; Kokhanenko, Grigorii; Davydov, Denis K.; Ivlev, Georgii A.; Kozlov, Artem V.; Kozlov, Alexander S.; Chernov, Dmitrii G.; Fofonov, Alexader V.; Simonenkov, Denis V.; Tolmachev, Gennadii

    2015-04-01

    The Arctic is affected by climate change much stronger than other regions of the globe. Permafrost thawing can lead to additional methane release, which enhances the greenhouse effect and warming, as well as changes of Arctic tundra ecosystems. A great part of Siberian Arctic is still unexplored. Ground-based investigations are difficult to be carried out in this area due to it is an out-of-the-way place. So, in spite of the high cost, aircraft-based in-situ measurements can provide a good opportunity to fill up the gap in data on the atmospheric composition over this region. The ninth YAK-AEROSIB campaign was focused on the airborne survey of Arctic regions of West Siberia. It was performed in October 2014. During the campaign, the high-precision in-situ measurements of CO2, CH4, CO, O3, black carbon and aerososls, including aerosol lidar profiles, have been carried out in the Siberian troposphere from Novosibirsk to Kara Sea. Vertical distributions of the above atmospheric constituents will be presented. This work was supported by LIA YAK-AEROSIB, CNRS (France), the French Ministry of Foreign Affairs, CEA (France), the Branch of Geology, Geophysics and Mining Sciences of RAS (Program No. 5); State contracts of the Ministry of Education and Science of Russia No. 14.604.21.0100, (RFMTFIBBB210290) and No. 14.613.21.0013 (RFMEFI61314X0013); Interdisciplinary integration projects of the Siberian Branch of the Russian Academy of Science No. 35, No. 70 and No. 131; and Russian Foundation for Basic Research (grants No. 14-05-00526 and 14-05-00590).

  4. Trends in aerosol optical depth in the Russian Arctic and their links with synoptic climatology.

    PubMed

    Shahgedanova, Maria; Lamakin, Mikhail

    2005-04-01

    Temporal and spatial variability of aerosol optical depth (AOD) are examined using observations of direct solar radiation in the Eurasian Arctic for 1940-1990. AOD is estimated using empirical methods for 14 stations located between 66.2 degrees N and 80.6 degrees N, from the Kara Sea to the Chukchi Sea. While AOD exhibits a well-known springtime maximum and summertime minimum at all stations, atmospheric turbidity is higher in spring in the western (Kara-Laptev) part of the Eurasian Arctic. Between June and August, the eastern (East Siberian-Chukchi) sector experiences higher transparency than the western part. A statistically significant positive trend in AOD was observed in the Kara-Laptev sector between the late 1950s and the early 1980s predominantly in spring when pollution-derived aerosol dominates the Arctic atmosphere but not in the eastern sector. Although all stations are remote, those with positive trends are located closer to the anthropogenic sources of air pollution. By contrast, a widespread decline in AOD was observed between 1982 and 1990 in the eastern Arctic in spring but was limited to two sites in the western Arctic. These results suggest that the post-1982 decline in anthropogenic emissions in Europe and the former Soviet Union has had a limited effect on aerosol load in the Arctic. The post-1982 negative trends in AOD in summer, when marine aerosol is present in the atmosphere, were more common in the west. The relationships between AOD and atmospheric circulation are examined using a synoptic climatology approach. In spring, AOD depends primarily on the strength and direction of air flow. Thus strong westerly and northerly flows result in low AOD values in the East Siberian-Chukchi sector. By contrast, strong southerly flow associated with the passage of depressions results in high AOD in the Kara-Laptev sector and trajectory analysis points to the contribution of industrial regions of the sub-Arctic. In summer, low pressure gradient or

  5. How sea ice could be the cold beating heart of European weather

    NASA Astrophysics Data System (ADS)

    Margrethe Ringgaard, Ida; Yang, Shuting; Hesselbjerg Christensen, Jens; Kaas, Eigil

    2017-04-01

    The possibility that the ongoing rapid demise of Arctic sea ice may instigate abrupt changes is, however, not tackled by current research in general. Ice cores from the Greenland Ice Sheet (GIS) show clear evidence of past abrupt warm events with up to 15 degrees warming in less than a decade, most likely triggered by rapid disappearance of Nordic Seas sea ice. At present, both Arctic Sea ice and the GIS are in strong transformation: Arctic sea-ice cover has been retreating during most of the satellite era and in recent years, Arctic sea ice experienced a dramatic reduction and the summer extent was in 2012 and 2016 only half of the 1979-2000 average. With such dramatic change in the current sea ice coverage as a point of departure, several studies have linked reduction in wintertime sea ice in the Barents-Kara seas to cold weather anomalies over Europe and through large scale tele-connections to regional warming elsewhere. Here we aim to investigate if, and how, Arctic sea ice impacts European weather, i.e. if the Arctic sea ice works as the 'cold heart' of European weather. To understand the effects of the sea ice reduction on the full climate system, a fully-coupled global climate model, EC-Earth, is used. A new energy-conserving method for assimilating sea ice using the sensible heat flux is implemented in the coupled climate model and compared to the traditional, non-conserving, method of assimilating sea ice. Using this new method, experiments are performed with reduced sea ice cover in the Barents-Kara seas under both warm and cold conditions in Europe. These experiments are used to evaluate how the Arctic sea ice modulates European winter weather under present climate conditions with a view towards favouring both relatively cold and warm conditions.

  6. Snow depth on Arctic sea ice from historical in situ data

    NASA Astrophysics Data System (ADS)

    Shalina, Elena V.; Sandven, Stein

    2018-06-01

    The snow data from the Soviet airborne expeditions Sever in the Arctic collected over several decades in March, April and May have been analyzed in this study. The Sever data included more measurements and covered a much wider area, particularly in the Eurasian marginal seas (Kara Sea, Laptev Sea, East Siberian Sea and Chukchi Sea), compared to the Soviet North Pole drifting stations. The latter collected data mainly in the central part of the Arctic Basin. The following snow parameters have been analyzed: average snow depth on the level ice (undisturbed snow) height and area of sastrugi, depth of snow dunes attached to ice ridges and depth of snow on hummocks. In the 1970s-1980s, in the central Arctic, the average depth of undisturbed snow was 21.2 cm, the depth of sastrugi (that occupied about 30 % of the ice surface) was 36.2 cm and the average depth of snow near hummocks and ridges was about 65 cm. For the marginal seas, the average depth of undisturbed snow on the level ice varied from 9.8 cm in the Laptev Sea to 15.3 cm in the East Siberian Sea, which had a larger fraction of multiyear ice. In the marginal seas the spatial variability of snow depth was characterized by standard deviation varying between 66 and 100 %. The average height of sastrugi varied from 23 cm to about 32 cm with standard deviation between 50 and 56 %. The average area covered by sastrugi in the marginal seas was estimated to be 36.5 % of the total ice area where sastrugi were observed. The main result of the study is a new snow depth climatology for the late winter using data from both the Sever expeditions and the North Pole drifting stations. The snow load on the ice observed by Sever expeditions has been described as a combination of the depth of undisturbed snow on the level ice and snow depth of sastrugi weighted in proportion to the sastrugi area. The height of snow accumulated near the ice ridges was not included in the calculations because there are no estimates of the area

  7. Prolonged effect of the stratospheric pathway in linking Barents-Kara Sea sea ice variability to the midlatitude circulation in a simplified model

    NASA Astrophysics Data System (ADS)

    Zhang, Pengfei; Wu, Yutian; Smith, Karen L.

    2018-01-01

    To better understand the dynamical mechanism that accounts for the observed lead-lag correlation between the early winter Barents-Kara Sea (BKS) sea ice variability and the later winter midlatitude circulation response, a series of experiments are conducted using a simplified atmospheric general circulation model with a prescribed idealized near-surface heating over the BKS. A prolonged effect is found in the idealized experiments following the near-surface heating and can be explicitly attributed to the stratospheric pathway and the long time scale in the stratosphere. The analysis of the Eliassen-Palm flux shows that, as a result of the imposed heating and linear constructive interference, anomalous upward propagating planetary-scale waves are excited and weaken the stratospheric polar vortex. This stratospheric response persists for approximately 1-2 months accompanied by downward migration to the troposphere and the surface. This downward migration largely amplifies and extends the low-level jet deceleration in the midlatitudes and cold air advection over central Asia. The idealized model experiments also suggest that the BKS region is the most effective in affecting the midlatitude circulation than other regions over the Arctic.

  8. Selected physical, biological and biogeochemical implications of a rapidly changing Arctic Marginal Ice Zone

    NASA Astrophysics Data System (ADS)

    Barber, David G.; Hop, Haakon; Mundy, Christopher J.; Else, Brent; Dmitrenko, Igor A.; Tremblay, Jean-Eric; Ehn, Jens K.; Assmy, Philipp; Daase, Malin; Candlish, Lauren M.; Rysgaard, Søren

    2015-12-01

    The Marginal Ice Zone (MIZ) of the Arctic Ocean is changing rapidly due to a warming Arctic climate with commensurate reductions in sea ice extent and thickness. This Pan-Arctic review summarizes the main changes in the Arctic ocean-sea ice-atmosphere (OSA) interface, with implications for primary- and secondary producers in the ice and the underlying water column. Changes in the Arctic MIZ were interpreted for the period 1979-2010, based on best-fit regressions for each month. Trends of increasingly open water were statistically significant for each month, with quadratic fit for August-November, illustrating particularly strong seasonal feedbacks in sea-ice formation and decay. Geographic interpretations of physical and biological changes were based on comparison of regions with significant changes in sea ice: (1) The Pacific Sector of the Arctic Ocean including the Canada Basin and the Beaufort, Chukchi and East Siberian seas; (2) The Canadian Arctic Archipelago; (3) Baffin Bay and Hudson Bay; and (4) the Barents and Kara seas. Changes in ice conditions in the Barents sea/Kara sea region appear to be primarily forced by ocean heat fluxes during winter, whereas changes in the other sectors appear to be more summer-autumn related and primarily atmospherically forced. Effects of seasonal and regional changes in OSA-system with regard to increased open water were summarized for photosynthetically available radiation, nutrient delivery to the euphotic zone, primary production of ice algae and phytoplankton, ice-associated fauna and zooplankton, and gas exchange of CO2. Changes in the physical factors varied amongst regions, and showed direct effects on organisms linked to sea ice. Zooplankton species appear to be more flexible and likely able to adapt to variability in the onset of primary production. The major changes identified for the ice-associated ecosystem are with regard to production timing and abundance or biomass of ice flora and fauna, which are related to

  9. Radionuclides in the Arctic seas from the former Soviet Union: Potential health and ecological risks

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Layton, D W; Edson, R; Varela, M

    1999-11-15

    The primary goal of the assessment reported here is to evaluate the health and environmental threat to coastal Alaska posed by radioactive-waste dumping in the Arctic and Northwest Pacific Oceans by the FSU. In particular, the FSU discarded 16 nuclear reactors from submarines and an icebreaker in the Kara Sea near the island of Novaya Zemlya, of which 6 contained spent nuclear fuel (SNF); disposed of liquid and solid wastes in the Sea of Japan; lost a {sup 90}Sr-powered radioisotope thermoelectric generator at sea in the Sea of Okhotsk; and disposed of liquid wastes at several sites in the Pacificmore » Ocean, east of the Kamchatka Peninsula. In addition to these known sources in the oceans, the RAIG evaluated FSU waste-disposal practices at inland weapons-development sites that have contaminated major rivers flowing into the Arctic Ocean. The RAIG evaluated these sources for the potential for release to the environment, transport, and impact to Alaskan ecosystems and peoples through a variety of scenarios, including a worst-case total instantaneous and simultaneous release of the sources under investigation. The risk-assessment process described in this report is applicable to and can be used by other circumpolar countries, with the addition of information about specific ecosystems and human life-styles. They can use the ANWAP risk-assessment framework and approach used by ONR to establish potential doses for Alaska, but add their own specific data sets about human and ecological factors. The ANWAP risk assessment addresses the following Russian wastes, media, and receptors: dumped nuclear submarines and icebreaker in Kara Sea--marine pathways; solid reactor parts in Sea of Japan and Pacific Ocean--marine pathways; thermoelectric generator in Sea of Okhotsk--marine pathways; current known aqueous wastes in Mayak reservoirs and Asanov Marshes--riverine to marine pathways; and Alaska as receptor. For these waste and source terms addressed, other pathways, such as

  10. Sea ice, rain-on-snow and tundra reindeer nomadism in Arctic Russia

    PubMed Central

    Kumpula, Timo; Meschtyb, Nina; Laptander, Roza; Macias-Fauria, Marc; Zetterberg, Pentti; Verdonen, Mariana; Kim, Kwang-Yul; Boisvert, Linette N.; Stroeve, Julienne C.; Bartsch, Annett

    2016-01-01

    Sea ice loss is accelerating in the Barents and Kara Seas (BKS). Assessing potential linkages between sea ice retreat/thinning and the region's ancient and unique social–ecological systems is a pressing task. Tundra nomadism remains a vitally important livelihood for indigenous Nenets and their large reindeer herds. Warming summer air temperatures have been linked to more frequent and sustained summer high-pressure systems over West Siberia, Russia, but not to sea ice retreat. At the same time, autumn/winter rain-on-snow (ROS) events have become more frequent and intense. Here, we review evidence for autumn atmospheric warming and precipitation increases over Arctic coastal lands in proximity to BKS ice loss. Two major ROS events during November 2006 and 2013 led to massive winter reindeer mortality episodes on the Yamal Peninsula. Fieldwork with migratory herders has revealed that the ecological and socio-economic impacts from the catastrophic 2013 event will unfold for years to come. The suggested link between sea ice loss, more frequent and intense ROS events and high reindeer mortality has serious implications for the future of tundra Nenets nomadism. PMID:27852939

  11. Sea ice, rain-on-snow and tundra reindeer nomadism in Arctic Russia.

    PubMed

    Forbes, Bruce C; Kumpula, Timo; Meschtyb, Nina; Laptander, Roza; Macias-Fauria, Marc; Zetterberg, Pentti; Verdonen, Mariana; Skarin, Anna; Kim, Kwang-Yul; Boisvert, Linette N; Stroeve, Julienne C; Bartsch, Annett

    2016-11-01

    Sea ice loss is accelerating in the Barents and Kara Seas (BKS). Assessing potential linkages between sea ice retreat/thinning and the region's ancient and unique social-ecological systems is a pressing task. Tundra nomadism remains a vitally important livelihood for indigenous Nenets and their large reindeer herds. Warming summer air temperatures have been linked to more frequent and sustained summer high-pressure systems over West Siberia, Russia, but not to sea ice retreat. At the same time, autumn/winter rain-on-snow (ROS) events have become more frequent and intense. Here, we review evidence for autumn atmospheric warming and precipitation increases over Arctic coastal lands in proximity to BKS ice loss. Two major ROS events during November 2006 and 2013 led to massive winter reindeer mortality episodes on the Yamal Peninsula. Fieldwork with migratory herders has revealed that the ecological and socio-economic impacts from the catastrophic 2013 event will unfold for years to come. The suggested link between sea ice loss, more frequent and intense ROS events and high reindeer mortality has serious implications for the future of tundra Nenets nomadism. © 2016 The Authors.

  12. Sea-Level Change in the Russian Arctic Since the Last Glacial Maximum

    NASA Astrophysics Data System (ADS)

    Horton, B.; Baranskaya, A.; Khan, N.; Romanenko, F. A.

    2017-12-01

    Relative sea-level (RSL) databases that span the Last Glacial Maximum (LGM) to present have been used to infer changes in climate, regional ice sheet variations, the rate and geographic source of meltwater influx, and the rheological structure of the solid Earth. Here, we have produced a quality-controlled RSL database for the Russian Arctic since the LGM. The database contains 394 index points, which locate the position of RSL in time and space, and 244 limiting points, which constrain the minimum or maximum limit of former sea level. In the western part of the Russian Arctic (Barents and White seas,) RSL was driven by glacial isostatic adjustment (GIA) due to deglaciation of the Scandinavian ice sheet, which covered the Baltic crystalline shield at the LGM. RSL data from isolation basins show rapid RSL from 80-100 m at 11-12 ka BP to 15-25 m at 4-5 ka BP. In the Arctic Islands of Franz-Joseph Land and Novaya Zemlya, RSL data from dated driftwood in raised beaches show a gradual fall from 25-35 m at 9-10 ka BP to 5-10 m at 3 ka BP. In the Russian plain, situated at the margins of the formerly glaciated Baltic crystalline shield, RSL data from raised beaches and isolation basins show an early Holocene rise from less than -20 m at 9-11 ka BP before falling in the late Holocene, illustrating the complex interplay between ice-equivalent meltwater input and GIA. The Western Siberian Arctic (Yamal and Gydan Peninsulas, Beliy Island and islands of the Kara Sea) was not glaciated at the LGM. Sea-level data from marine and salt-marsh deposits show RSL rise at the beginning of the Holocene to a mid-Holocene highstand of 1-5 m at 5-1 ka BP. A similar, but more complex RSL pattern is shown for Eastern Siberia. RSL data from the Laptev Sea shelf show RSL at -40- -45 m and 11-14 ka BP. RSL data from the Lena Delta and Tiksi region have a highstand from 5 to 1 ka BP. The research is supported by RSF project 17-77-10130

  13. Variability and trends in the Arctic Sea ice cover: Results from different techniques

    NASA Astrophysics Data System (ADS)

    Comiso, Josefino C.; Meier, Walter N.; Gersten, Robert

    2017-08-01

    Variability and trend studies of sea ice in the Arctic have been conducted using products derived from the same raw passive microwave data but by different groups using different algorithms. This study provides consistency assessment of four of the leading products, namely, Goddard Bootstrap (SB2), Goddard NASA Team (NT1), EUMETSAT Ocean and Sea Ice Satellite Application Facility (OSI-SAF 1.2), and Hadley HadISST 2.2 data in evaluating variability and trends in the Arctic sea ice cover. All four provide generally similar ice patterns but significant disagreements in ice concentration distributions especially in the marginal ice zone and adjacent regions in winter and meltponded areas in summer. The discrepancies are primarily due to different ways the four techniques account for occurrences of new ice and meltponding. However, results show that the different products generally provide consistent and similar representation of the state of the Arctic sea ice cover. Hadley and NT1 data usually provide the highest and lowest monthly ice extents, respectively. The Hadley data also show the lowest trends in ice extent and ice area at -3.88%/decade and -4.37%/decade, respectively, compared to an average of -4.36%/decade and -4.57%/decade for all four. Trend maps also show similar spatial distribution for all four with the largest negative trends occurring at the Kara/Barents Sea and Beaufort Sea regions, where sea ice has been retreating the fastest. The good agreement of the trends especially with updated data provides strong confidence in the quantification of the rate of decline in the Arctic sea ice cover.Plain Language SummaryThe declining <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover, especially in the summer, has been the center of attention in recent years. Reports on the <span class="hlt">sea</span> ice cover have been provided by different institutions using basically the same set of satellite data but different techniques for estimating key parameters such as ice</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C21D0669C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C21D0669C"><span>Spatial and temporal patterns of <span class="hlt">sea</span> ice variations in Vilkitsky strait, Russian High <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ci, T.; Cheng, X.; Hui, F.</p> <p>2013-12-01</p> <p>The <span class="hlt">Arctic</span> Ocean has been greatly affected by climate change. Future predications show an even more drastic reduction of the ice cap which will open new areas for the exploration of natural resources and maritime transportation.Shipping through the <span class="hlt">Arctic</span> Ocean via the Northern <span class="hlt">Sea</span> Route (NSR) could save about 40% of the sailing distance from Asia (Yokohama) to Europe (Rotterdam) compared to the traditional route via the Suez Canal. Vilkitsky strait is the narrowest and northest portion of the Northern <span class="hlt">Sea</span> Route with heaviest traffic between the Taimyr Peninsular and the Severnaya Zemlya archipelago. The preliminary results of <span class="hlt">sea</span> ice variations are presented by using moderate-resolution imaging spectro radiometer(MODIS) data with 250-m resolution in the Vilkitsky strait during 2009-2012. Temporally, the first rupture on <span class="hlt">sea</span> ice in Vilkitsky strait usually comes up in April and <span class="hlt">sea</span> ice completely break into pieces in early June. The strait would be ice-free between August and late September. The frequency of ice floes grows while temperature falls down in October. There are always one or two months suitable for transport. Spatially, <span class="hlt">Sea</span> ice on Laptev <span class="hlt">sea</span> side breaks earlier than that of <span class="hlt">Kara</span> <span class="hlt">sea</span> side while <span class="hlt">sea</span> ice in central of strait breaks earlier than in shoreside. The phenomena are directly related with the direction of <span class="hlt">sea</span> wind and ocean current. In summmary, study on Spatial and temporal patterns in this area is significant for the NSR. An additional research issue to be tackled is to seeking the trends of ice-free duration in the context of global warming. Envisat ASAR data will also be used in this study.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70045536','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70045536"><span>Adaptive strategies and life history characteristics in a warming climate: salmon in the <span class="hlt">Arctic</span>?</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Nielsen, Jennifer L.; Ruggerone, Gregory T.; Zimmerman, Christian E.</p> <p>2013-01-01</p> <p>In the warming <span class="hlt">Arctic</span>, aquatic habitats are in flux and salmon are exploring their options. Adult Pacific salmon, including sockeye (Oncorhynchus nerka), coho (O. kisutch), Chinook (O. tshawytscha), pink (O. gorbuscha) and chum (O. keta) have been captured throughout the <span class="hlt">Arctic</span>. Pink and chum salmon are the most common species found in the <span class="hlt">Arctic</span> today. These species are less dependent on freshwater habitats as juveniles and grow quickly in marine habitats. Putative spawning populations are rare in the North American <span class="hlt">Arctic</span> and limited to pink salmon in drainages north of Point Hope, Alaska, chum salmon spawning rivers draining to the northwestern Beaufort <span class="hlt">Sea</span>, and small populations of chum and pink salmon in Canada’s Mackenzie River. Pacific salmon have colonized several large river basins draining to the <span class="hlt">Kara</span>, Laptev and East Siberian <span class="hlt">seas</span> in the Russian <span class="hlt">Arctic</span>. These populations probably developed from hatchery supplementation efforts in the 1960’s. Hundreds of populations of <span class="hlt">Arctic</span> Atlantic salmon (Salmo salar) are found in Russia, Norway and Finland. Atlantic salmon have extended their range eastward as far as the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in central Russian. A small native population of Atlantic salmon is found in Canada’s Ungava Bay. The northern tip of Quebec seems to be an Atlantic salmon migration barrier for other North American stocks. Compatibility between life history requirements and ecological conditions are prerequisite for salmon colonizing <span class="hlt">Arctic</span> habitats. Broad-scale predictive models of climate change in the <span class="hlt">Arctic</span> give little information about feedback processes contributing to local conditions, especially in freshwater systems. This paper reviews the recent history of salmon in the <span class="hlt">Arctic</span> and explores various patterns of climate change that may influence range expansions and future sustainability of salmon in <span class="hlt">Arctic</span> habitats. A summary of the research needs that will allow informed expectation of further <span class="hlt">Arctic</span> colonization by salmon is given.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1356503-local-increase-anticyclonic-wave-activity-over-northern-eurasia-under-amplified-arctic-warming-wave-activity-response-arctic-melting','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1356503-local-increase-anticyclonic-wave-activity-over-northern-eurasia-under-amplified-arctic-warming-wave-activity-response-arctic-melting"><span>Local increase of anticyclonic wave activity over northern Eurasia under amplified <span class="hlt">Arctic</span> warming: WAVE ACTIVITY RESPONSE TO <span class="hlt">ARCTIC</span> MELTING</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Xue, Daokai; Lu, Jian; Sun, Lantao</p> <p></p> <p>In an attempt to resolve the controversy as to whether <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss leads to more mid-latitude extremes, a metric of finite-amplitude wave activity is adopted to quantify the midlatitude wave activity and its change during the observed period of the drastic <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline in both ERA Interim reanalysis data and a set of AMIP-type of atmospheric model experiments. Neither the experiment with the trend in the SST or that with the declining trend of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice can simulate the sizable midlatitude-wide reduction in the total wave activity (Ae) observed in the reanalysis, leaving its explanationmore » to the atmospheric internal variability. On the other hand, both the diagnostics of the flux of the local wave activity and the model experiments lend evidence to a possible linkage between the <span class="hlt">sea</span> ice loss near the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span> and the increasing trend of anticyclonic local wave activity over the northern part of the central Eurasia and the associated impacts on the frequency of temperature extremes.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/1013572','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/1013572"><span>Duration of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt season: Regional and interannual variability, 1979-2001</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Belchansky, G.I.; Douglas, David C.; Platonov, Nikita G.</p> <p>2004-01-01</p> <p>Melt onset dates, freeze onset dates, and melt season duration were estimated over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, 1979–2001, using passive microwave satellite imagery and surface air temperature data. <span class="hlt">Sea</span> ice melt duration for the entire Northern Hemisphere varied from a 104-day minimum in 1983 and 1996 to a 124-day maximum in 1989. Ranges in melt duration were highest in peripheral <span class="hlt">seas</span>, numbering 32, 42, 44, and 51 days in the Laptev, Barents-<span class="hlt">Kara</span>, East Siberian, and Chukchi <span class="hlt">Seas</span>, respectively. In the <span class="hlt">Arctic</span> Ocean, average melt duration varied from a 75-day minimum in 1987 to a 103-day maximum in 1989. On average, melt onset in annual ice began 10.6 days earlier than perennial ice, and freeze onset in perennial ice commenced 18.4 days earlier than annual ice. Average annual melt dates, freeze dates, and melt durations in annual ice were significantly correlated with seasonal strength of the <span class="hlt">Arctic</span> Oscillation (AO). Following high-index AO winters (January–March), spring melt tended to be earlier and autumn freeze later, leading to longer melt season durations. The largest increases in melt duration were observed in the eastern Siberian <span class="hlt">Arctic</span>, coincident with cyclonic low pressure and ice motion anomalies associated with high-index AO phases. Following a positive AO shift in 1989, mean annual melt duration increased 2–3 weeks in the northern East Siberian and Chukchi <span class="hlt">Seas</span>. Decreasing correlations between consecutive-year maps of melt onset in annual ice during 1979–2001 indicated increasing spatial variability and unpredictability in melt distributions from one year to the next. Despite recent declines in the winter AO index, recent melt distributions did not show evidence of reestablishing spatial patterns similar to those observed during the 1979–88 low-index AO period. Recent freeze distributions have become increasingly similar to those observed during 1979–88, suggesting a recurrent spatial pattern of freeze chronology under low-index AO conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140005689','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140005689"><span>Improvement in Simulation of Eurasian Winter Climate Variability with a Realistic <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Condition in an Atmospheric GCM</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lim, Young-Kwon; Ham, Yoo-Geun; Jeong, Jee-Hoon; Kug, Jong-Seong</p> <p>2012-01-01</p> <p>The present study investigates how much a realistic <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice condition can contribute to improve simulation of the winter climate variation over the Eurasia region. Model experiments are set up using different <span class="hlt">sea</span> ice boundary conditions over the past 24 years (i.e., 1988-2011). One is an atmospheric model inter-comparison (AMIP) type of run forced with observed <span class="hlt">sea</span>-surface temperature (SST), <span class="hlt">sea</span> ice, and greenhouse gases (referred to as Exp RSI), and the other is the same as Exp RSI except for the <span class="hlt">sea</span> ice forcing, which is a repeating climatological annual cycle (referred to as Exp CSI). Results show that Exp RSI produces the observed dominant pattern of Eurasian winter temperatures and their interannual variation better than Exp CSI (correlation difference up to approx. 0.3). Exp RSI captures the observed strong relationship between the <span class="hlt">sea</span> ice concentration near the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span> and the temperature anomaly across Eurasia, including northeastern Asia, which is not well captured in Exp CSI. Lagged atmospheric responses to <span class="hlt">sea</span> ice retreat are examined using observations to understand atmospheric processes for the Eurasian cooling response including the <span class="hlt">Arctic</span> temperature increase, <span class="hlt">sea</span>-level pressure increase, upper-level jet weakening and cold air outbreak toward the mid-latitude. The reproducibility of these lagged responses by Exp RSI is also evaluated.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/5814851-geology-evolution-northern-kara-sea-shelf','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/5814851-geology-evolution-northern-kara-sea-shelf"><span>Geology and evolution of the Northern <span class="hlt">Kara</span> <span class="hlt">Sea</span> Shelf</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Vinogradov, A.</p> <p>1991-08-01</p> <p>The interpretation of regional multichannel seismic reflection profiles collected during 1988-1987 yields the following features of the geology of the Northern <span class="hlt">Kara</span> <span class="hlt">Sea</span> Shelf (NKSS). Two regional deep sedimentary basins are clearly distinguished within the NKSS. They have rather complex inner structures and contain sediments 14.0-16.0 km thick. The basin are separated from each other by a relatively narrow, linear zone of basement high which extends from Uedineniya Island on the south to Vize Island on the north, where basement depth is 1.5-4.0 km. The sedimentary sections of the basins are composed of four lithological-stratigraphical sequences separated by unconformities whichmore » correlate well with regional unconformities in adjacent land areas. The initial stages of sedimentary basin development within the NKSS date back to the late Riphean-Vendian; probably they were associated with intracontinental rifting, when up to 4 km of sediments were deposited. During the most of the Phanerozoic, regional subsidence dominated; however, the rates of subsidence were different in the western and in the eastern basins, and varied in time for each basin. The subsidence was interrupted for relatively short periods when the region was affected by uplifts and erosion which resulted in formation of regional unconformities. The seismic data gave no evidence of Caledonian or any other Phanerozoic folding within the NKSS, which is in contrast with widespread assumptions. The results show that the geological structure and evolution of the NKSS differ greatly from those of adjacent Barents and Southern <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelves.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017Ocgy...57..130P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017Ocgy...57..130P"><span>Meiobenthos and nematode community in Yenisei Bay and adjacent parts of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelf</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Portnova, D. A.; Garlitska, L. A.; Udalov, A. A.; Kondar, D. V.</p> <p>2017-01-01</p> <p>Material is collected on a meridional profile from Yenisei Bay to adjacent parts of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelf. The length of the profile is 550 km; 13 to 62 m depths. A multiple corer and Niemistö corer are used as sampling tools. The meiobenthos is represented by 13 taxa. Nematodes are the most abundant taxon, and harpacticoid copepods (Harpacticoida) are subdominant. The abundance and taxonomic diversity of meiobenthos and nematodes increases from the freshwater part of Yenisei Bay towards the <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelf. Three types of taxocene are distinguished: freshwater, brackish-water, and marine. The taxocene of the estuary is not distinguished by any specific set of species and consists of species characteristic of the nematode community both in the freshwater and marine zones. The trophic structure of the taxocene of nematodes in Yenisei Bay is dominated by nematodes with well-defined stoma and are differently armed. The estuary and shelf are dominated by selective and nonselective deposit feeders.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_2");'>2</a></li> <li><a href="#" onclick='return showDiv("page_3");'>3</a></li> <li class="active"><span>4</span></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_4 --> <div id="page_5" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_3");'>3</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li class="active"><span>5</span></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="81"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.9286O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.9286O"><span>The influence of climate change on the intensity of ice gouging at the <span class="hlt">Kara</span> <span class="hlt">Sea</span> bottom by hummocky formations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ogorodov, Stanislav; Arkhipov, Vasily; Kokin, Osip; Natalia, Shabanova</p> <p>2016-04-01</p> <p><span class="hlt">Sea</span> ice as a zonal factor is an important passive and active relief-forming agent in the coastal-shelf zone of the <span class="hlt">Arctic</span> and other freezing <span class="hlt">seas</span>. The most dangerous process in relation to the hydrotechnical facilities is ice gouging - destructive mechanical impact of the ice of the ground, connected with the dynamics of the ice cover, formation of hummocks and stamukhas under the influence of hydrometeorologic factors and of the relief of the coastal-shelf zone. Underestimation of the ice gouging intensity can lead to damage of the engineering facilities, while excessive deepening increases the expenses of the construction. Finding the optimal variant and, by this, decreasing the risks of extreme situations is a relevant task of the science and practice. This task is complicated by the fact that the oil and gas infrastructure within the coastal and shelf areas of the freezing <span class="hlt">seas</span> is currently being developed in the conditions of global climate change. In the present work, several results of the repeated sounding of bottom ice gouging microrelief within the area of the underwater pipeline crossing of the Baydaratskaya Bay, <span class="hlt">Kara</span> <span class="hlt">Sea</span>, are presented. Based on the results of the monitoring, as well as the analysis of literature sources and modeling it has been established that under the conditions of climate warming and <span class="hlt">sea</span> ice reduction, the zone of the most intensive ice gouging is shifted landwards, on shallower water areas.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/15258672','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/15258672"><span>Plutonium in the <span class="hlt">arctic</span> marine environment--a short review.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Skipperud, Lindis</p> <p>2004-06-18</p> <p>Anthropogenic plutonium has been introduced into the environment over the past 50 years as the result of the detonation of nuclear weapons and operational releases from the nuclear industry. In the <span class="hlt">Arctic</span> environment, the main source of plutonium is from atmospheric weapons testing, which has resulted in a relatively uniform, underlying global distribution of plutonium. Previous studies of plutonium in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> have shown that, at certain sites, other releases have given rise to enhanced local concentrations. Since different plutonium sources are characterised by distinctive plutonium-isotope ratios, evidence of a localised influence can be supported by clear perturbations in the plutonium-isotope ratio fingerprints as compared to the known ratio in global fallout. In <span class="hlt">Kara</span> <span class="hlt">Sea</span> sites, such perturbations have been observed as a result of underwater weapons tests at Chernaya Bay, dumped radioactive waste in Novaya Zemlya, and terrestrial runoff from the Ob and Yenisey Rivers. Measurement of the plutonium-isotope ratios offers both a means of identifying the origin of radionuclide contamination and the influence of the various nuclear installations on inputs to the <span class="hlt">Arctic</span>, as well as a potential method for following the movement of water and sediment loads in the rivers.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMIN11C1538S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMIN11C1538S"><span>The Timing of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Advance and Retreat as an Indicator of Ice-Dependent Marine Mammal Habitat</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stern, H. L.; Laidre, K. L.</p> <p>2013-12-01</p> <p>The <span class="hlt">Arctic</span> is widely recognized as the front line of climate change. <span class="hlt">Arctic</span> air temperature is rising at twice the global average rate, and the <span class="hlt">sea</span>-ice cover is shrinking and thinning, with total disappearance of summer <span class="hlt">sea</span> ice projected to occur in a matter of decades. <span class="hlt">Arctic</span> marine mammals such as polar bears, seals, walruses, belugas, narwhals, and bowhead whales depend on the <span class="hlt">sea</span>-ice cover as an integral part of their existence. While the downward trend in <span class="hlt">sea</span>-ice extent in a given month is an often-used metric for quantifying physical changes in the ice cover, it is not the most relevant measure for characterizing changes in the <span class="hlt">sea</span>-ice habitat of marine mammals. Species that depend on <span class="hlt">sea</span> ice are behaviorally tied to the annual retreat of <span class="hlt">sea</span> ice in the spring and advance in the fall. Changes in the timing of the spring retreat and the fall advance are more relevant to <span class="hlt">Arctic</span> marine species than changes in the areal <span class="hlt">sea</span>-ice coverage in a particular month of the year. Many ecologically important regions of the <span class="hlt">Arctic</span> are essentially ice-covered in winter and ice-free in summer, and will probably remain so for a long time into the future. But the dates of <span class="hlt">sea</span>-ice retreat in spring and advance in fall are key indicators of climate change for ice-dependent marine mammals. We use daily <span class="hlt">sea</span>-ice concentration data derived from satellite passive microwave sensors to calculate the dates of <span class="hlt">sea</span>-ice retreat in spring and advance in fall in 12 regions of the <span class="hlt">Arctic</span> for each year from 1979 through 2013. The regions include the peripheral <span class="hlt">seas</span> around the <span class="hlt">Arctic</span> Ocean (Beaufort, Chukchi, East Siberian, Laptev, <span class="hlt">Kara</span>, Barents), the Canadian <span class="hlt">Arctic</span> Archipelago, and the marginal <span class="hlt">seas</span> (Okhotsk, Bering, East Greenland, Baffin Bay, Hudson Bay). We find that in 11 of the 12 regions (all except the Bering <span class="hlt">Sea</span>), <span class="hlt">sea</span> ice is retreating earlier in spring and advancing later in fall. Rates of spring retreat range from -5 to -8 days/decade, and rates of fall advance range from +5 to +9</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/9241883','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/9241883"><span>Collective doses to man from dumping of radioactive waste in the <span class="hlt">Arctic</span> <span class="hlt">Seas</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Nielsen, S P; Iosjpe, M; Strand, P</p> <p>1997-08-25</p> <p>A box model for the dispersion of radionuclides in the marine environment covering the <span class="hlt">Arctic</span> Ocean and the North Atlantic Ocean has been constructed. Collective doses from ingestion pathways have been calculated from unit releases of the radionuclides 3H, 60Co, 63Ni, 90Sr, 129I, 137Cs, 239Pu and 241Am into a fjord on the east coast of NovayaZemlya. The results show that doses for the shorter-lived radionuclides (e.g. 137Cs) are derived mainly from seafood production in the Barents <span class="hlt">Sea</span>. Doses from the longer-lived radionuclides (e.g. 239Pu) are delivered through marine produce further away from the <span class="hlt">Arctic</span> Ocean. Collective doses were calculated for two release scenarios, both of which are based on information of the dumping of radioactive waste in the Barents and <span class="hlt">Kara</span> <span class="hlt">Seas</span> by the former Soviet Union and on preliminary information from the International <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Assessment Programme. A worst-case scenario was assumed according to which all radionuclides in liquid and solid radioactive waste were available for dispersion in the marine environment at the time of dumping. Release of radionuclides from spent nuclear fuel was assumed to take place by direct corrosion of the fuel ignoring the barriers that prevent direct contact between the fuel and the seawater. The second scenario selected assumed that releases of radionuclides from spent nuclear fuel do not occur until after failure of the protective barriers. All other liquid and solid radioactive waste was assumed to be available for dispersion at the time of discharge in both scenarios. The estimated collective dose for the worst-case scenario was about 9 manSv and that for the second scenario was about 3 manSv. In both cases, 137Cs is the radionuclide predicted to dominate the collective doses as well as the peak collective dose rates.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.4193S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.4193S"><span>Trend analysis of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Silva, M. E.; Barbosa, S. M.; Antunes, Luís; Rocha, Conceição</p> <p>2009-04-01</p> <p>The extent of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is a fundamental parameter of <span class="hlt">Arctic</span> climate variability. In the context of climate change, the area covered by ice in the <span class="hlt">Arctic</span> is a particularly useful indicator of recent changes in the <span class="hlt">Arctic</span> environment. Climate models are in near universal agreement that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent will decline through the 21st century as a consequence of global warming and many studies predict a ice free <span class="hlt">Arctic</span> as soon as 2012. Time series of satellite passive microwave observations allow to assess the temporal changes in the extent of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. Much of the analysis of the ice extent time series, as in most climate studies from observational data, have been focussed on the computation of deterministic linear trends by ordinary least squares. However, many different processes, including deterministic, unit root and long-range dependent processes can engender trend like features in a time series. Several parametric tests have been developed, mainly in econometrics, to discriminate between stationarity (no trend), deterministic trend and stochastic trends. Here, these tests are applied in the trend analysis of the <span class="hlt">sea</span> ice extent time series available at National Snow and Ice Data Center. The parametric stationary tests, Augmented Dickey-Fuller (ADF), Phillips-Perron (PP) and the KPSS, do not support an overall deterministic trend in the time series of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent. Therefore, alternative parametrizations such as long-range dependence should be considered for characterising long-term <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1813970M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1813970M"><span>The influence of regional <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice decline on stratospheric and tropospheric circulation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McKenna, Christine; Bracegirdle, Thomas; Shuckburgh, Emily; Haynes, Peter</p> <p>2016-04-01</p> <p> region (one perturbation experiment combines all regions). These regions correspond to <span class="hlt">sea</span>-ice loss hotspots such as the Barents-<span class="hlt">Kara</span> <span class="hlt">Seas</span> and the Bering <span class="hlt">Sea</span>. The differences between the control and perturbation runs yields the effects of the imposed <span class="hlt">sea</span>-ice loss on the polar vortex. To detect and count SSWs for each run, we use the World Meteorological Organisation's definition of an SSW (a reversal in zonal mean zonal wind at 10 hPa and 60° N, and a reversal in zonal mean meridional temperature gradient at 10 hPa between 60° N and 90° N). The poster will present and discuss the initial results of this study. Implications of the results for future change in the lower latitude mid-troposphere will be discussed. References Sun, L., C. Deser, and R. A. Tomas, 2015: Mechanisms of Stratospheric and Tropospheric Circulation Response to Projected <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Loss. J. Climate, 28, 7824-7845, doi: http://dx.doi.org/10.1175/JCLI-D-15-0169.1.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3542531','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3542531"><span>Pan-<span class="hlt">Arctic</span> distributions of continental runoff in the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Fichot, Cédric G.; Kaiser, Karl; Hooker, Stanford B.; Amon, Rainer M. W.; Babin, Marcel; Bélanger, Simon; Walker, Sally A.; Benner, Ronald</p> <p>2013-01-01</p> <p>Continental runoff is a major source of freshwater, nutrients and terrigenous material to the <span class="hlt">Arctic</span> Ocean. As such, it influences water column stratification, light attenuation, surface heating, gas exchange, biological productivity and carbon sequestration. Increasing river discharge and thawing permafrost suggest that the impacts of continental runoff on these processes are changing. Here, a new optical proxy was developed and implemented with remote sensing to determine the first pan-<span class="hlt">Arctic</span> distribution of terrigenous dissolved organic matter (tDOM) and continental runoff in the surface <span class="hlt">Arctic</span> Ocean. Retrospective analyses revealed connections between the routing of North American runoff and the recent freshening of the Canada Basin, and indicated a correspondence between climate-driven changes in river discharge and tDOM inventories in the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. By facilitating the real-time, synoptic monitoring of tDOM and freshwater runoff in surface polar waters, this novel approach will help understand the manifestations of climate change in this remote region. PMID:23316278</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23316278','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23316278"><span>Pan-<span class="hlt">Arctic</span> distributions of continental runoff in the <span class="hlt">Arctic</span> Ocean.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Fichot, Cédric G; Kaiser, Karl; Hooker, Stanford B; Amon, Rainer M W; Babin, Marcel; Bélanger, Simon; Walker, Sally A; Benner, Ronald</p> <p>2013-01-01</p> <p>Continental runoff is a major source of freshwater, nutrients and terrigenous material to the <span class="hlt">Arctic</span> Ocean. As such, it influences water column stratification, light attenuation, surface heating, gas exchange, biological productivity and carbon sequestration. Increasing river discharge and thawing permafrost suggest that the impacts of continental runoff on these processes are changing. Here, a new optical proxy was developed and implemented with remote sensing to determine the first pan-<span class="hlt">Arctic</span> distribution of terrigenous dissolved organic matter (tDOM) and continental runoff in the surface <span class="hlt">Arctic</span> Ocean. Retrospective analyses revealed connections between the routing of North American runoff and the recent freshening of the Canada Basin, and indicated a correspondence between climate-driven changes in river discharge and tDOM inventories in the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. By facilitating the real-time, synoptic monitoring of tDOM and freshwater runoff in surface polar waters, this novel approach will help understand the manifestations of climate change in this remote region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28429262','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28429262"><span>Movement of a female polar bear (Ursus maritimus) in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> during the summer <span class="hlt">sea</span>-ice break-up.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Rozhnov, V V; Platonov, N G; Naidenko, S V; Mordvintsev, I N; Ivanov, E A</p> <p>2017-01-01</p> <p>The polar bear movement trajectory in relation to onset date of the <span class="hlt">sea</span>-ice break-up was studied in the coastal zone of the Taimyr Peninsula, eastern part of the <span class="hlt">Kara</span> <span class="hlt">Sea</span>, using as an example a female polar bear tagged by a radio collar with an Argos satellite transmitter. Analysis of the long-term pattern of ice melting and tracking, by means of satellite telemetry, of the female polar bear who followed the ice-edge outgoing in the north-eastern direction (in summer 2012) suggests that direction of the polar bear movement depends precisely on the direction of the <span class="hlt">sea</span>-ice cover break-up.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122.9011C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122.9011C"><span>Atmospheric response to anomalous autumn surface forcing in the <span class="hlt">Arctic</span> Basin</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cassano, Elizabeth N.; Cassano, John J.</p> <p>2017-09-01</p> <p>Data from four reanalyses are analyzed to evaluate the downstream atmospheric response both spatially and temporally to anomalous autumn surface forcing in the <span class="hlt">Arctic</span> Basin. Running weekly mean skin temperature anomalies were classified using the self-organizing map algorithm. The resulting classes were used to both composite the initial atmospheric state and determine how the atmosphere evolves from this state. The strongest response was to anomalous forcing—positive skin temperature and total surface energy flux anomalies and reduced <span class="hlt">sea</span> ice concentration—in the Barents and <span class="hlt">Kara</span> <span class="hlt">Seas</span>. Analysis of the evolution of the atmospheric state for 12 weeks after the initial forcing showed a persistence in the anomalies in this area which led to a buildup of heat in the atmosphere. This resulted in positive 1000-500 hPa thickness and high-pressure circulation anomalies in this area which were associated with cold air advection and temperatures over much of central and northern Asia. Evaluation of days with the opposite forcing (i.e., negative skin temperature anomalies and increased <span class="hlt">sea</span> ice concentration in the Barents and <span class="hlt">Kara</span> <span class="hlt">Seas</span>) showed a mirrored, opposite downstream atmospheric response. Other patterns with positive skin temperature anomalies in the <span class="hlt">Arctic</span> Basin did not show the same response most likely because the anomalies were not as strong nor did they persist for as many weeks following the initial forcing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.1490S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.1490S"><span>Pan-<span class="hlt">Arctic</span> Distribution of Bioavailable Dissolved Organic Matter and Linkages With Productivity in Ocean Margins</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shen, Yuan; Benner, Ronald; Kaiser, Karl; Fichot, Cédric G.; Whitledge, Terry E.</p> <p>2018-02-01</p> <p>Rapid environmental changes in the <span class="hlt">Arctic</span> Ocean affect plankton productivity and the bioavailability of dissolved organic matter (DOM) that supports microbial food webs. We report concentrations of dissolved organic carbon (DOC) and yields of amino acids (indicators of labile DOM) in surface waters across major <span class="hlt">Arctic</span> margins. Concentrations of DOC and bioavailability of DOM showed large pan-<span class="hlt">Arctic</span> variability that corresponded to varying hydrological conditions and ecosystem productivity, respectively. Widespread hot spots of labile DOM were observed over productive inflow shelves (Chukchi and Barents <span class="hlt">Seas</span>), in contrast to oligotrophic interior margins (<span class="hlt">Kara</span>, Laptev, East Siberian, and Beaufort <span class="hlt">Seas</span>). Amino acid yields in outflow gateways (Canadian Archipelago and Baffin Bay) indicated the prevalence of semilabile DOM in <span class="hlt">sea</span> ice covered regions and sporadic production of labile DOM in ice-free waters. Comparing these observations with surface circulation patterns indicated varying shelf subsidies of bioavailable DOM to <span class="hlt">Arctic</span> deep basins.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/61709','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/61709"><span>Sorption of radioactive contaminants by sediment from the <span class="hlt">Kara</span> <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Fuhrmann, M.; Zhou, H.; Neiheisel, J.</p> <p>1995-02-01</p> <p>The purpose of this study is to quantify some of the parameters needed to perform near-field modeling of sites in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> that were impacted by the disposal of radioactive waste. The parameters of interest are: the distribution coefficients (K{sub d}) for several important radionuclides, the mineralogy of the sediment, and the relationship of K{sub d} to liquid to solid ratio. Sediment from the <span class="hlt">Kara</span> <span class="hlt">Sea</span> (location: 73{degrees} 00` N, 58{degrees} 00` E) was sampled from a depth of 287 meters on August 23/24, 1992, during a joint Russian/Norwegian scientific cruise. Analysis of the material included mineralogy, grain sizemore » and total organic carbon. Uptake kinetics were determined for {sup 85}Sr, {sup 99}Tc, {sup 125}I, {sup 137}Cs, {sup 210}Pb, {sup 232}U, and {sup 241}Am and distribution coefficients (K{sub d}) were determined for these radionuclides using batch type experiments. Sorption isotherms were developed for {sup 85}Sr, {sup 99}Tc, and {sup 137}Cs to examine the effect that varying the concentration of a tracer has on the quantity of that tracer taken up by the solid. The effect of liquid to solid ratio on the uptake of contaminants was determined for {sup 99}Tc and {sup 137}Cs. In another set of experiments, the sediment was separated into four size fractions and uptake was determined for each fraction for {sup 85}Sr, {sup 99}Tc, and {sup 137}Cs. In addition, the sediment was analyzed to determine if it contains observable concentrations of anthropogenic radionuclides.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.4782H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.4782H"><span>Deglacial-Holocene short-term variability in <span class="hlt">sea</span>-ice distribution on the Eurasian shelf (<span class="hlt">Arctic</span> Ocean) - An IP25 biomarker reconstruction.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hörner, Tanja; Stein, Ruediger; Fahl, Kirsten</p> <p>2016-04-01</p> <p>Four well-dated sediment cores from the Eurasian continental shelf, i.e., the <span class="hlt">Kara</span> <span class="hlt">Sea</span> (Cores BP99/07 and BP00/07) and Laptev <span class="hlt">Sea</span> (Cores PS51/154 and PS51/159), were selected for high-resolution reconstruction of past <span class="hlt">Arctic</span> environmental conditions during the deglacial-Holocene time interval. These marginal <span class="hlt">seas</span> are strongly affected by the post-glacial <span class="hlt">sea</span>-level rise of about 120m. The major focus of our study was the reconstruction of the paleo-<span class="hlt">sea</span>-ice distribution as <span class="hlt">sea</span>-ice plays a key role within the modern and past climate system. For reconstruction of paleo-<span class="hlt">sea</span> ice, the <span class="hlt">sea</span>-ice proxy IP25 in combination with open-water phytoplankton biomarkers was used (for approach see Belt et al., 2007; Müller et al., 2009, 2011). In addition, specific sterols were determined to reconstruct changes in river run-off and biological production. The post-glacial <span class="hlt">sea</span>-level rise is especially reflected in prominent decrease in terrigenous biomarkers. Deglacial variations in <span class="hlt">sea</span>-ice cover sustained for thousand of years, mostly following climatic changes like the Bølling/Allerød (14.7-12.9 ka), Younger Dryas (12.9-11.6 ka) and Holocene warm phase (10-8 ka). Superimposed on a (Late) Holocene cooling trend, short-term fluctuations in <span class="hlt">sea</span>-ice cover (on centennial scale) are distinctly documented in the distal/off-shore Core BP00/07 from the <span class="hlt">Kara</span> <span class="hlt">Sea</span>, less pronounced in the proximal/near-shore Core PS99/07 and in the Laptev <span class="hlt">Sea</span> cores. Interestingly, this short-term variability in <span class="hlt">sea</span>-ice cover correlates quite well to changes in Siberian river run-off (e.g., Stein et al. 2004), pointing to a direct linkage between precipitation (atmospheric circulation) and <span class="hlt">sea</span>-ice formation. References Belt, S.T., Massé, G., Rowland, S.J., Poulin, M., Michel, C., LeBlanc, B., 2007. A novel chemical fossil of palaeo <span class="hlt">sea</span> ice: IP25. Organic Geochemistry 38, 16-27. Müller, J., Masse, G., Stein, R., Belt, S.T., 2009. Variability of <span class="hlt">sea</span>-ice conditions in the Fram Strait over the past 30,000 years</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19740022688&hterms=oil+monitoring&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Doil%2Bmonitoring','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19740022688&hterms=oil+monitoring&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Doil%2Bmonitoring"><span>Monitoring <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice using ERTS imagery. [Bering <span class="hlt">Sea</span>, Beaufort <span class="hlt">Sea</span>, Canadian Archipelago, and Greenland <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Barnes, J. C.; Bowley, C. J.</p> <p>1974-01-01</p> <p>Because of the effect of <span class="hlt">sea</span> ice on the heat balance of the <span class="hlt">Arctic</span> and because of the expanding economic interest in <span class="hlt">arctic</span> oil and other minerals, extensive monitoring and further study of <span class="hlt">sea</span> ice is required. The application of ERTS data for mapping ice is evaluated for several <span class="hlt">arctic</span> areas, including the Bering <span class="hlt">Sea</span>, the eastern Beaufort <span class="hlt">Sea</span>, parts of the Canadian Archipelago, and the Greenland <span class="hlt">Sea</span>. Interpretive techniques are discussed, and the scales and types of ice features that can be detected are described. For the Bering <span class="hlt">Sea</span>, a sample of ERTS imagery is compared with visual ice reports and aerial photography from the NASA CV-990 aircraft.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11C0929S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11C0929S"><span>Collaborations for <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Information and Tools</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sheffield Guy, L.; Wiggins, H. V.; Turner-Bogren, E. J.; Rich, R. H.</p> <p>2017-12-01</p> <p>The dramatic and rapid changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice require collaboration across boundaries, including between disciplines, sectors, institutions, and between scientists and decision-makers. This poster will highlight several projects that provide knowledge to advance the development and use of <span class="hlt">sea</span> ice knowledge. <span class="hlt">Sea</span> Ice for Walrus Outlook (SIWO: https://www.arcus.org/search-program/siwo) - SIWO is a resource for Alaskan Native subsistence hunters and other interested stakeholders. SIWO provides weekly reports, during April-June, of <span class="hlt">sea</span> ice conditions relevant to walrus in the northern Bering and southern Chukchi <span class="hlt">seas</span>. Collaboration among scientists, Alaskan Native <span class="hlt">sea</span>-ice experts, and the Eskimo Walrus Commission is fundamental to this project's success. <span class="hlt">Sea</span> Ice Prediction Network (SIPN: https://www.arcus.org/sipn) - A collaborative, multi-agency-funded project focused on seasonal <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice predictions. The goals of SIPN include: coordinate and evaluate <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice predictions; integrate, assess, and guide observations; synthesize predictions and observations; and disseminate predictions and engage key stakeholders. The <span class="hlt">Sea</span> Ice Outlook—a key activity of SIPN—is an open process to share and synthesize predictions of the September minimum <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent and other variables. Other SIPN activities include workshops, webinars, and communications across the network. Directory of <span class="hlt">Sea</span> Ice Experts (https://www.arcus.org/researchers) - ARCUS has undertaken a pilot project to develop a web-based directory of <span class="hlt">sea</span> ice experts across institutions, countries, and sectors. The goal of the project is to catalyze networking between individual investigators, institutions, funding agencies, and other stakeholders interested in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. Study of Environmental <span class="hlt">Arctic</span> Change (SEARCH: https://www.arcus.org/search-program) - SEARCH is a collaborative program that advances research, synthesizes research findings, and broadly communicates the results to support</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5209705','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5209705"><span>Major cause of unprecedented <span class="hlt">Arctic</span> warming in January 2016: Critical role of an Atlantic windstorm</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kim, Baek-Min; Hong, Ja-Young; Jun, Sang-Yoon; Zhang, Xiangdong; Kwon, Hataek; Kim, Seong-Joong; Kim, Joo-Hong; Kim, Sang-Woo; Kim, Hyun-Kyung</p> <p>2017-01-01</p> <p>In January 2016, the <span class="hlt">Arctic</span> experienced an extremely anomalous warming event after an extraordinary increase in air temperature at the end of 2015. During this event, a strong intrusion of warm and moist air and an increase in downward longwave radiation, as well as a loss of <span class="hlt">sea</span> ice in the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span>, were observed. Observational analyses revealed that the abrupt warming was triggered by the entry of a strong Atlantic windstorm into the <span class="hlt">Arctic</span> in late December 2015, which brought enormous moist and warm air masses to the <span class="hlt">Arctic</span>. Although the storm terminated at the eastern coast of Greenland in late December, it was followed by a prolonged blocking period in early 2016 that sustained the extreme <span class="hlt">Arctic</span> warming. Numerical experiments indicate that the warming effect of <span class="hlt">sea</span> ice loss and associated upward turbulent heat fluxes are relatively minor in this event. This result suggests the importance of the synoptically driven warm and moist air intrusion into the <span class="hlt">Arctic</span> as a primary contributing factor of this extreme <span class="hlt">Arctic</span> warming event. PMID:28051170</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4711856','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4711856"><span>Influence of <span class="hlt">sea</span> ice on <span class="hlt">Arctic</span> precipitation</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kopec, Ben G.; Feng, Xiahong; Michel, Fred A.; Posmentier, Eric S.</p> <p>2016-01-01</p> <p>Global climate is influenced by the <span class="hlt">Arctic</span> hydrologic cycle, which is, in part, regulated by <span class="hlt">sea</span> ice through its control on evaporation and precipitation. However, the quantitative link between precipitation and <span class="hlt">sea</span> ice extent is poorly constrained. Here we present observational evidence for the response of precipitation to <span class="hlt">sea</span> ice reduction and assess the sensitivity of the response. Changes in the proportion of moisture sourced from the <span class="hlt">Arctic</span> with <span class="hlt">sea</span> ice change in the Canadian <span class="hlt">Arctic</span> and Greenland <span class="hlt">Sea</span> regions over the past two decades are inferred from annually averaged deuterium excess (d-excess) measurements from six sites. Other influences on the <span class="hlt">Arctic</span> hydrologic cycle, such as the strength of meridional transport, are assessed using the North Atlantic Oscillation index. We find that the independent, direct effect of <span class="hlt">sea</span> ice on the increase of the percentage of <span class="hlt">Arctic</span> sourced moisture (or <span class="hlt">Arctic</span> moisture proportion, AMP) is 18.2 ± 4.6% and 10.8 ± 3.6%/100,000 km2 <span class="hlt">sea</span> ice lost for each region, respectively, corresponding to increases of 10.9 ± 2.8% and 2.7 ± 1.1%/1 °C of warming in the vapor source regions. The moisture source changes likely result in increases of precipitation and changes in energy balance, creating significant uncertainty for climate predictions. PMID:26699509</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C13E..03A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C13E..03A"><span>A new <span class="hlt">Arctic</span> 25-year Altimetric <span class="hlt">Sea</span>-level Record (1992-2016) and Initial look at <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Level Budget Closure</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Andersen, O. B.; Passaro, M.; Benveniste, J.; Piccioni, G.</p> <p>2016-12-01</p> <p>A new initiative within the ESA <span class="hlt">Sea</span> Level Climate Change initiative (SL-cci) framework to improve the <span class="hlt">Arctic</span> <span class="hlt">sea</span> level record has been initiated as a combined effort to reprocess and retrack past altimetry to create a 25-year combined <span class="hlt">sea</span> level record for <span class="hlt">sea</span> level research studies. One of the objectives is to retracked ERS-2 dataset for the high latitudes based on the ALES retracking algorithm through adapting the ALES retracker for retracking of specular surfaces (leads). Secondly a reprocessing using tailored editing to <span class="hlt">Arctic</span> Conditions will be carried out also focusing on the merging of the multi-mission data. Finally an effort is to combine physical and empirical retracked <span class="hlt">sea</span> surface height information to derive an experimental spatio-temporal enhanced <span class="hlt">sea</span> level product for high latitude. The first results in analysing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> level variations on annual inter-annual scales for the 1992-2015 from a preliminar version of this dataset is presented. By including the GRACE water storage estimates and NOAA halo- and thermo-steric <span class="hlt">sea</span> level variatios since 2002 a preliminary attempt to close the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> level budget is presented here. Closing the <span class="hlt">Arctic</span> <span class="hlt">sea</span> level budget is by no mean trivial as both steric data and satellite altimetry is both sparse temporally and limited geographically.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19890011970','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19890011970"><span>The <span class="hlt">Kara</span> and Ust-<span class="hlt">Kara</span> impact structures (USSR) and their relevance to the K/T boundary event</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koeberl, Christian; Nazarov, M. A.; Harrison, T. M.; Sharpton, V. L.; Murali, A. V.; Burke, K.</p> <p>1988-01-01</p> <p>The <span class="hlt">Kara</span> and Ust-<span class="hlt">Kara</span> craters are twin impact structures situated at about 69 deg 10 min N; 65 deg 00 min E at the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. For <span class="hlt">Kara</span> a diameter of about 55 km would be a very conservative estimate, and field observations indicate a maximum current diameter of about 60 km. The diameter of Ust-<span class="hlt">Kara</span> has to be larger than 16 km. A better estimate might be 25 km but in all likelihood it is even larger. Suevites and impactites from the <span class="hlt">Kara</span> area have been known since the beginning of the century, but had been misidentified as glacial deposits. Only about 15 years ago the impact origin of the two structures was demonstrated, following the recognition of shock metamorphism in the area. The composition of the target rocks is mirrored by the composition of the clasts within the suevites. In the southern part of <span class="hlt">Kara</span>, Permian shales and limestones are sometimes accompanied by diabasic dykes, similar to in the central uplift. Due to the high degree of shock metamorphism the shocked magmatic rocks are not easily identified, although most of them seem to be of diabasic or dioritic composition. The impact melts (tagamites) are grey to dark grey fine grained crystallized rocks showing very fine mineral components and are the product of shock-melting with later recrystallization. The impact glasses show a layered structure, inclusions, and vesicles, and have colors ranging from translucent white over brown and grey to black. A complete geochemical characterization of the <span class="hlt">Kara</span> and Ust-<span class="hlt">Kara</span> impact craters was attempted by analyzing more than 40 samples of target rocks, shocked rocks, suevites, impact melts, and impact glasses for major and trace elements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMOS23D1242D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMOS23D1242D"><span>Trace metals in the Ob and Yenisei Rivers' Estuaries (the <span class="hlt">Kara</span> <span class="hlt">Sea</span>).</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Demina, L. L.</p> <p>2014-12-01</p> <p>Behavior of some trace metals (Al, As, Cd, Co, Cr, Cu, Fe, Mn, Ni and Pb) in water column (soluble <0.45 µm and particulate fractions) and bottom sediments (surface and cores) along the two transects from the Ob River and Yenisei River Estuaries to the <span class="hlt">Kara</span> <span class="hlt">Sea</span> was studied. The length of both transects was about 700 km. Water depth was 12-63 m, O2 dissolved :5.36-9.55 ml l-1. Along the transects salinity increased from 0.07 to 34.2 psu, while the SPM' concentration decreased from 10.31 to 0.31 mg/l. Total suspended particulate matter load is more than one order of magnitude higher in the Ob River Estuary comparing to that of the Yenisei River. It has led to a significant difference between the suspended trace metals' concentrations (µg/l) in water of the two estuaries. With salinity increase along transects Fe susp., Mn susp. and Zn susp. decreased by a factor of 100-500, that has led to a growth of a relative portion of dissolved trace metals followed by their bioaccumulation (Demina et al., 2010). A strong direct correlation between suspended Cu, Fe and SPM mass concentration was found. For the first time along the Yenisei River' Estuary -the <span class="hlt">Kara</span> <span class="hlt">Sea</span> transect a direct positive correlation between Cu suspended and volume concentration of SPM (mg/ml3) was found, that was attributed to contribution of phytoplankton aggregates in the SPM composition. A trend of relationship between content of suspended As and pelitic fraction (2-10 µm) of SPM was firstly found in theses basins also. Study of trace metal speciation in the bottom sediments (adsorbed, associated with Fe-Mn (oxyhydr)oxides, organic matter and fixed in the mineral lattice or refractory) has revealed the refractory fraction to be prevailing (70-95% total content) for Fe, Zn, Cu, Co, Ni, Cr, Cd and Pb. That means that toxic heavy metals were not available for bottom fauna. Mn was predominantly found in the adsorbed and (oxyhydr)oxides geochemically labile forms, reflecting the redox condition change</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_3");'>3</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li class="active"><span>5</span></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_5 --> <div id="page_6" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li class="active"><span>6</span></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="101"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/21141043','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/21141043"><span>Loss of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Perovich, Donald K; Richter-Menge, Jacqueline A</p> <p>2009-01-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is in decline. The areal extent of the ice cover has been decreasing for the past few decades at an accelerating rate. Evidence also points to a decrease in <span class="hlt">sea</span> ice thickness and a reduction in the amount of thicker perennial <span class="hlt">sea</span> ice. A general global warming trend has made the ice cover more vulnerable to natural fluctuations in atmospheric and oceanic forcing. The observed reduction in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is a consequence of both thermodynamic and dynamic processes, including such factors as preconditioning of the ice cover, overall warming trends, changes in cloud coverage, shifts in atmospheric circulation patterns, increased export of older ice out of the <span class="hlt">Arctic</span>, advection of ocean heat from the Pacific and North Atlantic, enhanced solar heating of the ocean, and the ice-albedo feedback. The diminishing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is creating social, political, economic, and ecological challenges.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070034026&hterms=coverage&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dcoverage','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070034026&hterms=coverage&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dcoverage"><span>Annual Cycles of Multiyear <span class="hlt">Sea</span> Ice Coverage of the <span class="hlt">Arctic</span> Ocean: 1999-2003</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kwok, R.</p> <p>2004-01-01</p> <p>For the years 1999-2003, we estimate the time-varying perennial ice zone (PIZ) coverage and construct the annual cycles of multiyear (MY, including second year) ice coverage of the <span class="hlt">Arctic</span> Ocean using QuikSCAT backscatter, MY fractions from RADARSAT, and the record of ice export from satellite passive microwave observations. An area balance approach extends the winter MY coverage from QuikSCAT to the remainder of the year. From these estimates, the coverage of MY ice at the beginning of each year is 3774 x 10(exp 3) sq km (2000), 3896 x 10(exp 3) sq km (2001), 4475 x 10(exp 3) sq km (2002), and 4122 x 10(exp 3) sq km (2003). Uncertainties in coverage are approx.150 x 10(exp 3) sq km. In the mean, on 1 January, MY ice covers approx.60% of the <span class="hlt">Arctic</span> Ocean. Ice export reduces this coverage to approx.55% by 1 May. From the multiple annual cycles, the area of first-year (FY) ice that survives the intervening summers are 1192 x 10(exp 3) sq km (2000), 1509 x 10(exp 3) sq km (2001), and 582 x 10(exp 3) sq km (2002). In order for the MY coverage to remain constant from year to year, these replenishment areas must balance the overall area export and melt during the summer. The effect of the record minimum in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice area during the summer of 2002 is seen in the lowest area of surviving FY ice of the three summers. In addition to the spatial coverage, the location of the PIZ is important. One consequence of the unusual location of the PIZ at the end of the summer of 2002 is the preconditioning for enhanced export of MY ice into the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span>. Differences between the minimums in summer <span class="hlt">sea</span> ice coverage from our estimates and passive microwave observations are discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016PolSc..10..210O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016PolSc..10..210O"><span>A difficult <span class="hlt">Arctic</span> science issue: Midlatitude weather linkages</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Overland, James E.</p> <p>2016-09-01</p> <p>There is at present unresolved uncertainty whether <span class="hlt">Arctic</span> amplification (increased air temperatures and loss of <span class="hlt">sea</span> ice) impacts the location and intensities of recent major weather events in midlatitudes. There are three major impediments. The first is the null hypothesis where the shortness of time series since major amplification (∼15 years) is dominated by the variance of the physical process in the attribution calculation. This makes it impossible to robustly distinguish the influence of <span class="hlt">Arctic</span> forcing of regional circulation from random events. The second is the large chaotic jet stream variability at midlatitudes producing a small <span class="hlt">Arctic</span> forcing signal-to-noise ratio. Third, there are other potential external forcings of hemispheric circulation, such as teleconnections driven by tropical and midlatitude <span class="hlt">sea</span> surface temperature anomalies. It is, however, important to note and understand recent emerging case studies. There is evidence for a causal connection of Barents-<span class="hlt">Kara</span> <span class="hlt">sea</span> ice loss, a stronger Siberian High, and cold air outbreaks into eastern Asia. Recent cold air penetrating into the southeastern United States was related to a shift in the long-wave atmospheric wind pattern and reinforced by warmer temperatures west of Greenland. <span class="hlt">Arctic</span> Linkages is a major research challenge that benefits from an international focus on the topic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70021093','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70021093"><span>Transport of 137Cs and 239,240Pu with ice-rafted debris in the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Landa, E.R.; Reimnitz, E.; Beals, D.M.; Pochkowski, J.M.; Winn, W.G.; Rigor, I.</p> <p>1998-01-01</p> <p>Ice rafting is the dominant mechanism responsible for the transport of fine-grained sediments from coastal zones to the deep <span class="hlt">Arctic</span> Basin. Therefore, the drift of ice-rafted debris (IRD) could be a significant transport mechanism from the shelf to the deep basin for radionuclides originating from nuclear fuel cycle activities and released to coastal <span class="hlt">Arctic</span> regions of the former Soviet Union. In this study, 28 samples of IRD collected from the <span class="hlt">Arctic</span> ice pack during expeditions in 1989-95 were analyzed for 137Cs by gamma spectrometry and for 239Pu and 240Pu by thermal ionization mass spectrometry. 137Cs concentrations in the IRD ranged from less than 0.2 to 78 Bq??kg-1 (dry weight basis). The two samples with the highest 137Cs concentrations were collected in the vicinity of Franz Josef Land, and their backward trajectories suggest origins in the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. Among the lowest 137Cs values are seven measured on sediments entrained on the North American shelf in 1989 and 1995, and sampled on the shelf less than six months later. Concentrations of 239Pu + 240Pu ranged from about 0.02 to 1.8 Bq??kg-1. The two highest values came from samples collected in the central Canada Basin and near Spitsbergen; calculated backward trajectories suggest at least 14 years of circulation in the Canada Basin in the former case, and an origin near Severnaya Zemlya (at the <span class="hlt">Kara</span> <span class="hlt">Sea</span>/Laptev <span class="hlt">Sea</span> boundary) in the latter case. While most of the IRD samples showed 240Pu/239Pu ratios near the mean global fallout value of 0.185, five of the samples had lower ratios, in the 0.119 to 0.166 range, indicative of mixtures of Pu from fallout and from the reprocessing of weapons-grade Pu. The backward trajectories of these five samples suggest origins in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> or near Severnaya Zemlya.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43D2486G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43D2486G"><span>On the linkage between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and Mid-latitude weather pattern: the situation in East Asia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gu, S.; Zhang, Y.; Wu, Q.</p> <p>2017-12-01</p> <p>The influence of <span class="hlt">Arctic</span> changes on the weather patterns in the highly populated mid-latitude is a complex and controversial topic with considerable uncertainties such as the low signal-to-noise, ill-suited metrics of circulation changes and the missing of dynamical understanding. In this study, the possible linkage between the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice concentration (SIC) and the wintertime weather patterns in East Asia is investigated by comparing groups of statistical and diagnostic analyses. Our study shows a robust relationship between the early autumn SIC in Barents, <span class="hlt">Kara</span>, Laptev and East Siberia <span class="hlt">Sea</span> and the energies of wintertime transient activities corresponding to the weather patterns over East Asia on inter-annual time scales. With the reduction of SIC in autumn, the wintertime synoptic (2-10 day) kinetic energy in the north of Eurasia decreases while the low-frequency (10-30 days) kinetic energy, which corresponds to persistent weather patterns, exhibits an evident and dominant increase over the north of Caspian <span class="hlt">Sea</span>, Lake Baikal and the Ural Mountain. With the reduction of SIC, the intra-seasonal temperature fluctuations present coherent changes over a broader region as well, with significant increase of the low-frequency variability in the vast north of Tibet Plateau and East Asia. The changes of the low-frequency transient activities may be attributed to the slowly southward propagating wave energies from polar regions. However, no consistent stratosphere signals are found associated with such linkage on inter-annual time scales.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ERL....12h4011A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ERL....12h4011A"><span>Warming in the Nordic <span class="hlt">Seas</span>, North Atlantic storms and thinning <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Alexeev, Vladimir A.; Walsh, John E.; Ivanov, Vladimir V.; Semenov, Vladimir A.; Smirnov, Alexander V.</p> <p>2017-08-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the last few decades has experienced a significant decline in coverage both in summer and winter. The currently warming Atlantic Water layer has a pronounced impact on <span class="hlt">sea</span> ice in the Nordic <span class="hlt">Seas</span> (including the Barents <span class="hlt">Sea</span>). More open water combined with the prevailing atmospheric pattern of airflow from the southeast, and persistent North Atlantic storms such as the recent extremely strong Storm Frank in December 2015, lead to increased energy transport to the high <span class="hlt">Arctic</span>. Each of these storms brings sizeable anomalies of heat to the high <span class="hlt">Arctic</span>, resulting in significant warming and slowing down of <span class="hlt">sea</span> ice growth or even melting. Our analysis indicates that the recently observed <span class="hlt">sea</span> ice decline in the Nordic <span class="hlt">Seas</span> during the cold season around Svalbard, Franz Joseph Land and Novaya Zemlya, and the associated heat release from open water into the atmosphere, contributed significantly to the increase in the downward longwave radiation throughout the entire <span class="hlt">Arctic</span>. Added to other changes in the surface energy budget, this increase since the 1960s to the present is estimated to be at least 10 W m-2, which can result in thinner (up to at least 15-20 cm) <span class="hlt">Arctic</span> ice at the end of the winter. This change in the surface budget is an important contributing factor accelerating the thinning of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70036122','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70036122"><span>U.S. Geological Survey circum-<span class="hlt">arctic</span> resource appraisal</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Gautier, D.L.</p> <p>2011-01-01</p> <p>Among the greatest uncertainties in future energy supply is the amount of oil and gas yet to be found in the <span class="hlt">Arctic</span>. Using a probabilistic geology-based methodology, the U.S. Geological Survey has assessed the area north of the <span class="hlt">Arctic</span> Circle. The Circum-<span class="hlt">Arctic</span> Resource Appraisal (CARA) consists of three parts: (1) Mapping the sedimentary sequences of the <span class="hlt">Arctic</span> (Grantz and others 2009), (2) Geologically based estimation of undiscovered technically recoverable petroleum (Gautier and others 2009, discussed in this presentation) and (3) Economic appraisal of the cost of delivering the undiscovered resources to major markets (also reported at this conference by White and others). We estimate that about 30% of the world's undiscovered gas and about 13% of the world's undiscovered oil may be present in the <span class="hlt">Arctic</span>, mostly offshore under less than 500m of water. Billion BOE-plus accumulations of gas and oil are predicted at a 50% probability in the <span class="hlt">Kara</span> <span class="hlt">Sea</span>, Barents <span class="hlt">Sea</span>, offshore East and West Greenland, Canada, and Alaska. On a BOE basis, undiscovered natural gas is three times more abundant than oil in the <span class="hlt">Arctic</span> and is concentrated in Russian territory. Oil resources, while critically important to the interests of <span class="hlt">Arctic</span> countries, are probably not sufficient to significantly shift the current geographic patterns of world oil production. Copyright 2011, Offshore Technology Conference.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A53B0279S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A53B0279S"><span>Connections between the tropical Pacific Ocean, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, and anomalous northeastern Pacific ridging</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Swain, D. L.; Singh, D.; Horton, D. E.; Mankin, J. S.; Ballard, T.; Thomas, L. N.; Diffenbaugh, N. S.</p> <p>2016-12-01</p> <p>The ongoing and severe drought in California is linked to the multi-year persistence of anomalously strong ridging along the west coast of North America, which has deflected the Pacific storm track north of its climatological mean position. Recent work has shown that that highly amplified and strongly meridional atmospheric flow patterns in this region similar to the "Ridiculously Resilient Ridge" have become more common in recent decades. Previous investigations have suggested multiple possible contributors to this conspicuous atmospheric anomaly—including remote teleconnections to unusual tropical Pacific Ocean warmth and/or reduced <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, internal (natural) atmospheric variability, and anthropogenic forcing due to greenhouse gas emissions. Here, we explore observed relationships between mid-tropospheric atmospheric structure in this region and five hypothesized surface forcings: <span class="hlt">sea</span> ice extent in the (1) Barents/<span class="hlt">Kara</span> and (2) Beaufort/Chukchi regions, and <span class="hlt">sea</span> surface temperatures in the (3) extratropical northeastern Pacific Ocean, (4) western tropical Pacific Ocean, and (5) eastern tropical Pacific Ocean. Using a predictive model based upon these observed relationships, we also investigate whether the failure of the powerful 2015-2016 El Niño event to bring above-average precipitation to California could have been predicted based upon these teleconnections.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.G33A0946P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.G33A0946P"><span>Modes of <span class="hlt">Arctic</span> Ocean Change from GRACE, ICESat and the PIOMAS and ECCO2 Models of the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Peralta Ferriz, C.; Morison, J. H.; Bonin, J. A.; Chambers, D. P.; Kwok, R.; Zhang, J.</p> <p>2012-12-01</p> <p>EOF analysis of month-to-month variations in GRACE derived <span class="hlt">Arctic</span> Ocean bottom pressure (OBP) with trend and seasonal variation removed yield three dominant modes. The first mode is a basin wide variation in mass associated with high atmospheric pressure (SLP) over Scandinavia mainly in winter. The second mode is a shift of mass from the central <span class="hlt">Arctic</span> Ocean to the Siberian shelves due to low pressure over the basins, associated with the <span class="hlt">Arctic</span> Oscillation. The third mode is a shift in mass between the Eastern and Western Siberian shelves, related to strength of the Beaufort High mainly in summer, and to eastward alongshore winds on the Barents <span class="hlt">Sea</span> in winter. The PIOMAS and ECCO2 modeled OBP show fair agreement with the form of these modes and provide context in terms of variations in <span class="hlt">sea</span> surface height SSH. Comparing GRACE OBP from 2007 to 2011 with GRACE OBP from 2002 to 2006 reveals a rising trend over most of the <span class="hlt">Arctic</span> Ocean but declines in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> region and summer East Siberian <span class="hlt">Sea</span>. ECCO2 bears a faint resemblance to the observed OBP change but appears to be biased negatively. In contrast, PIOMAS SSH and ECCO2 especially, show changes between the two periods that are muted but similar to ICESat dynamic ocean topography and GRACE-ICESat freshwater trends from 2005 through 2008 [Morison et al., 2012] with a rising DOT and freshening in the Beaufort <span class="hlt">Sea</span> and a trough with decreased freshwater on the Russian side of the <span class="hlt">Arctic</span> Ocean. Morison, J., R. Kwok, C. Peralta-Ferriz, M. Alkire, I. Rigor, R. Andersen, and M. Steele (2012), Changing <span class="hlt">Arctic</span> Ocean freshwater pathways, Nature, 481(7379), 66-70.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000266.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000266.html"><span>NASA Science Flights Target Melting <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p>This summer, with <span class="hlt">sea</span> ice across the <span class="hlt">Arctic</span> Ocean shrinking to below-average levels, a NASA airborne survey of polar ice just completed its first flights. Its target: aquamarine pools of melt water on the ice surface that may be accelerating the overall <span class="hlt">sea</span> ice retreat. NASA’s Operation IceBridge completed the first research flight of its new 2016 <span class="hlt">Arctic</span> summer campaign on July 13. The science flights, which continue through July 25, are collecting data on <span class="hlt">sea</span> ice in a year following a record-warm winter in the <span class="hlt">Arctic</span>. Read more: go.nasa.gov/29T6mxc Caption: A large pool of melt water over <span class="hlt">sea</span> ice, as seen from an Operation IceBridge flight over the Beaufort <span class="hlt">Sea</span> on July 14, 2016. During this summer campaign, IceBridge will map the extent, frequency and depth of melt ponds like these to help scientists forecast the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice yearly minimum extent in September. Credit: NASA/Operation IceBridge</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.1399D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.1399D"><span>Nudging the <span class="hlt">Arctic</span> Ocean to quantify <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice feedbacks</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dekker, Evelien; Severijns, Camiel; Bintanja, Richard</p> <p>2017-04-01</p> <p>It is well-established that the <span class="hlt">Arctic</span> is warming 2 to 3 time faster than rest of the planet. One of the great uncertainties in climate research is related to what extent <span class="hlt">sea</span> ice feedbacks amplify this (seasonally varying) <span class="hlt">Arctic</span> warming. Earlier studies have analyzed existing climate model output using correlations and energy budget considerations in order to quantify <span class="hlt">sea</span> ice feedbacks through indirect methods. From these analyses it is regularly inferred that <span class="hlt">sea</span> ice likely plays an important role, but details remain obscure. Here we will take a different and a more direct approach: we will keep the <span class="hlt">sea</span> ice constant in a sensitivity simulation, using a state-of -the-art climate model (EC-Earth), applying a technique that has never been attempted before. This experimental technique involves nudging the temperature and salinity of the ocean surface (and possibly some layers below to maintain the vertical structure and mixing) to a predefined prescribed state. When strongly nudged to existing (seasonally-varying) <span class="hlt">sea</span> surface temperatures, ocean salinity and temperature, we force the <span class="hlt">sea</span> ice to remain in regions/seasons where it is located in the prescribed state, despite the changing climate. Once we obtain fixed' <span class="hlt">sea</span> ice, we will run a future scenario, for instance 2 x CO2 with and without prescribed <span class="hlt">sea</span> ice, with the difference between these runs providing a measure as to what extent <span class="hlt">sea</span> ice contributes to <span class="hlt">Arctic</span> warming, including the seasonal and geographical imprint of the effects.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015Ocgy...55..606G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015Ocgy...55..606G"><span>Macrobenthos of Yenisei Bay and the adjacent <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelf</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Galkin, S. V.; Vedenin, A. A.</p> <p>2015-07-01</p> <p>Trawl samples were collected in the northern region of Yenisei Bay and adjacent parts of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> shelf. A total of eight stations were taken. We found more than 200 species of benthic organisms. A consecutive replacement of benthic communities is observed when going to the north from the Ob and Yenisei estuaries to the open parts of the <span class="hlt">sea</span>. We could distinguish four different species complexes in the investigated area: a brackish-water complex where Saduria entomon is dominant; an intermediate complex where S. sibirica, S. sabini and Portlandia aestuariorum are dominant; a transitional complex with P. arctica as a dominant species and with a small amount of Ophiocten sericeum; a marine complex where O. sericeum is dominant. When salinity increased, some brackish-water species were replaced by related euryhaline species. One such example was the replacement of brackish-water Saduria entomon isopods by two euryhaline species: S. sibirica and S. sabini. The consecutive replacement of benthic communities showed a break near Sverdrup Island. In this area the marine complex was replaced by a transitional complex with P. arctica.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19940007304&hterms=delegation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Ddelegation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19940007304&hterms=delegation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Ddelegation"><span><span class="hlt">Arctic</span> geodynamics: Continental shelf and deep ocean geophysics. ERS-1 satellite altimetry: A first look</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Anderson, Allen Joel; Sandwell, David T.; Marquart, Gabriele; Scherneck, Hans-Georg</p> <p>1993-01-01</p> <p>An overall review of the <span class="hlt">Arctic</span> Geodynamics project is presented. A composite gravity field model of the region based upon altimetry data from ERS-1, Geosat, and Seasat is made. ERS-1 altimetry covers unique <span class="hlt">Arctic</span> and Antarctic latitudes above 72 deg. Both areas contain large continental shelf areas, passive margins, as well as recently formed deep ocean areas. Until ERS-1 it was not possible to study these areas with satellite altimetry. Gravity field solutions for the Barents <span class="hlt">sea</span>, portions of the <span class="hlt">Arctic</span> ocean, and the Norwegian <span class="hlt">sea</span> north of Iceland are shown. The gravity anomalies around Svalbard (Spitsbergen) and Bear island are particularly large, indicating large isostatic anomalies which remain from the recent breakup of Greenland from Scandinavian. Recently released gravity data from the Armed Forces Topographic Service of Russia cover a portion of the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span>. A comparison of this data with the ERS-1 produced gravity field is shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC44B..04H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC44B..04H"><span>The <span class="hlt">Arctic</span>-Subarctic <span class="hlt">Sea</span> Ice System is Entering a Seasonal Regime: Implications for Future <span class="hlt">Arctic</span> Amplication</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Haine, T. W. N.; Martin, T.</p> <p>2017-12-01</p> <p>The loss of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is a conspicuous example of climate change. Climate models project ice-free conditions during summer this century under realistic emission scenarios, reflecting the increase in seasonality in ice cover. To quantify the increased seasonality in the <span class="hlt">Arctic</span>-Subarctic <span class="hlt">sea</span> ice system, we define a non-dimensional seasonality number for <span class="hlt">sea</span> ice extent, area, and volume from satellite data and realistic coupled climate models. We show that the <span class="hlt">Arctic</span>-Subarctic, i.e. the northern hemisphere, <span class="hlt">sea</span> ice now exhibits similar levels of seasonality to the Antarctic, which is in a seasonal regime without significant change since satellite observations began in 1979. Realistic climate models suggest that this transition to the seasonal regime is being accompanied by a maximum in <span class="hlt">Arctic</span> amplification, which is the faster warming of <span class="hlt">Arctic</span> latitudes compared to the global mean, in the 2010s. The strong link points to a peak in <span class="hlt">sea</span>-ice-related feedbacks that occurs long before the <span class="hlt">Arctic</span> becomes ice-free in summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017OcSci..13..997P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017OcSci..13..997P"><span>The spatial and interannual dynamics of the surface water carbonate system and air-<span class="hlt">sea</span> CO2 fluxes in the outer shelf and slope of the Eurasian <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pipko, Irina I.; Pugach, Svetlana P.; Semiletov, Igor P.; Anderson, Leif G.; Shakhova, Natalia E.; Gustafsson, Örjan; Repina, Irina A.; Spivak, Eduard A.; Charkin, Alexander N.; Salyuk, Anatoly N.; Shcherbakova, Kseniia P.; Panova, Elena V.; Dudarev, Oleg V.</p> <p>2017-11-01</p> <p>The <span class="hlt">Arctic</span> is undergoing dramatic changes which cover the entire range of natural processes, from extreme increases in the temperatures of air, soil, and water, to changes in the cryosphere, the biodiversity of <span class="hlt">Arctic</span> waters, and land vegetation. Small changes in the largest marine carbon pool, the dissolved inorganic carbon pool, can have a profound impact on the carbon dioxide (CO2) flux between the ocean and the atmosphere, and the feedback of this flux to climate. Knowledge of relevant processes in the <span class="hlt">Arctic</span> <span class="hlt">seas</span> improves the evaluation and projection of carbon cycle dynamics under current conditions of rapid climate change. Investigation of the CO2 system in the outer shelf and continental slope waters of the Eurasian <span class="hlt">Arctic</span> <span class="hlt">seas</span> (the Barents, <span class="hlt">Kara</span>, Laptev, and East Siberian <span class="hlt">seas</span>) during 2006, 2007, and 2009 revealed a general trend in the surface water partial pressure of CO2 (pCO2) distribution, which manifested as an increase in pCO2 values eastward. The existence of this trend was defined by different oceanographic and biogeochemical regimes in the western and eastern parts of the study area; the trend is likely increasing due to a combination of factors determined by contemporary change in the <span class="hlt">Arctic</span> climate, each change in turn evoking a series of synergistic effects. A high-resolution in situ investigation of the carbonate system parameters of the four <span class="hlt">Arctic</span> <span class="hlt">seas</span> was carried out in the warm season of 2007; this year was characterized by the next-to-lowest historic <span class="hlt">sea</span>-ice extent in the <span class="hlt">Arctic</span> Ocean, on satellite record, to that date. The study showed the different responses of the seawater carbonate system to the environment changes in the western vs. the eastern Eurasian <span class="hlt">Arctic</span> <span class="hlt">seas</span>. The large, open, highly productive water area in the northern Barents <span class="hlt">Sea</span> enhances atmospheric CO2 uptake. In contrast, the uptake of CO2 was strongly weakened in the outer shelf and slope waters of the East Siberian <span class="hlt">Arctic</span> <span class="hlt">seas</span> under the 2007 environmental conditions</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/270525-epoca-cruise-report','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/270525-epoca-cruise-report"><span>EPOCA-95 cruise report</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>King, S.E.; Carroll, J.; Johnson, D.R.</p> <p>1996-02-13</p> <p>The EPOCA 95 expedition (Environmental Pollution and Oceanography in <span class="hlt">Arctic</span> <span class="hlt">Seas</span>) collected data and samples in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in order to assess the impact of anthropogenic pollution, both radioactive and chemical on one of the marginal <span class="hlt">Arctic</span> <span class="hlt">seas</span> and to study the oceanography of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in order to better understand circulation and transport pathways of potential pollutants. This expedition included measurements near dump sites for the fueled reactors dumped by the former Soviet Union.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008GMS...180.....D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008GMS...180.....D"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Decline: Observations, Projections, Mechanisms, and Implications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>DeWeaver, Eric T.; Bitz, Cecilia M.; Tremblay, L.-Bruno</p> <p></p> <p>This volume addresses the rapid decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, placing recent <span class="hlt">sea</span> ice decline in the context of past observations, climate model simulations and projections, and simple models of the climate sensitivity of <span class="hlt">sea</span> ice. Highlights of the work presented here include • An appraisal of the role played by wind forcing in driving the decline; • A reconstruction of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice conditions prior to human observations, based on proxy data from sediments; • A modeling approach for assessing the impact of <span class="hlt">sea</span> ice decline on polar bears, used as input to the U.S. Fish and Wildlife Service's decision to list the polar bear as a threatened species under the Endangered Species Act; • Contrasting studies on the existence of a "tipping point," beyond which <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline will become (or has already become) irreversible, including an examination of the role of the small ice cap instability in global warming simulations; • A significant summertime atmospheric response to <span class="hlt">sea</span> ice reduction in an atmospheric general circulation model, suggesting a positive feedback and the potential for short-term climate prediction. The book will be of interest to researchers attempting to understand the recent behavior of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, model projections of future <span class="hlt">sea</span> ice loss, and the consequences of <span class="hlt">sea</span> ice loss for the natural and human systems of the <span class="hlt">Arctic</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www1.ncdc.noaa.gov/pub/data/cmb/bams-sotc/climate-assessment-2004.pdf','USGSPUBS'); return false;" href="http://www1.ncdc.noaa.gov/pub/data/cmb/bams-sotc/climate-assessment-2004.pdf"><span>Polar Climate: <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Stone, R.S.; Douglas, David C.; Belchansky, G.I.; Drobot, S.D.</p> <p>2005-01-01</p> <p>Recent decreases in snow and <span class="hlt">sea</span> ice cover in the high northern latitudes are among the most notable indicators of climate change. Northern Hemisphere <span class="hlt">sea</span> ice extent for the year as a whole was the third lowest on record dating back to 1973, behind 1995 (lowest) and 1990 (second lowest; Hadley Center–NCEP). September <span class="hlt">sea</span> ice extent, which is at the end of the summer melt season and is typically the month with the lowest <span class="hlt">sea</span> ice extent of the year, has decreased by about 19% since the late 1970s (Fig. 5.2), with a record minimum observed in 2002 (Serreze et al. 2003). A record low extent also occurred in spring (Chapman 2005, personal communication), and 2004 marked the third consecutive year of anomalously extreme <span class="hlt">sea</span> ice retreat in the <span class="hlt">Arctic</span> (Stroeve et al. 2005). Some model simulations indicate that ice-free summers will occur in the <span class="hlt">Arctic</span> by the year 2070 (ACIA 2004).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRC..122.8126W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRC..122.8126W"><span>Bottom Water Acidification and Warming on the Western Eurasian <span class="hlt">Arctic</span> Shelves: Dynamical Downscaling Projections</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wallhead, P. J.; Bellerby, R. G. J.; Silyakova, A.; Slagstad, D.; Polukhin, A. A.</p> <p>2017-10-01</p> <p>The impacts of oceanic CO2 uptake and global warming on the surface ocean environment have received substantial attention, but few studies have focused on shelf bottom water, despite its importance as habitat for benthic organisms and demersal fisheries such as cod. We used a downscaling ocean biogeochemical model to project bottom water acidification and warming on the western Eurasian <span class="hlt">Arctic</span> shelves. A model hindcast produced 14-18 year acidification trends that were largely consistent with observational estimates at stations in the Iceland and Irminger <span class="hlt">Seas</span>. Projections under SRES A1B scenario revealed a rapid and spatially variable decline in bottom pH by 0.10-0.20 units over 50 years (2.5%-97.5% quantiles) at depths 50-500 m on the Norwegian, Barents, <span class="hlt">Kara</span>, and East Greenland shelves. Bottom water undersaturation with respect to aragonite occurred over the entire <span class="hlt">Kara</span> shelf by 2040 and over most of the Barents and East Greenland shelves by 2070. Shelf acidification was predominantly driven by the accumulation of anthropogenic CO2, and was concurrent with warming of 0.1-2.7°C over 50 years. These combined perturbations will act as significant multistressors on the Barents and <span class="hlt">Kara</span> shelves. Future studies should aim to improve the resolution of shelf bottom processes in models, and should consider the <span class="hlt">Kara</span> <span class="hlt">Sea</span> and Russian shelves as possible bellwethers of shelf acidification.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70022547','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70022547"><span>Classification methods for monitoring <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using OKEAN passive/active two-channel microwave data</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Belchansky, Gennady I.; Douglas, David C.</p> <p>2000-01-01</p> <p>This paper presents methods for classifying <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using both passive and active (2-channel) microwave imagery acquired by the Russian OKEAN 01 polar-orbiting satellite series. Methods and results are compared to <span class="hlt">sea</span> ice classifications derived from nearly coincident Special Sensor Microwave Imager (SSM/I) and Advanced Very High Resolution Radiometer (AVHRR) image data of the Barents, <span class="hlt">Kara</span>, and Laptev <span class="hlt">Seas</span>. The Russian OKEAN 01 satellite data were collected over weekly intervals during October 1995 through December 1997. Methods are presented for calibrating, georeferencing and classifying the raw active radar and passive microwave OKEAN 01 data, and for correcting the OKEAN 01 microwave radiometer calibration wedge based on concurrent 37 GHz horizontal polarization SSM/I brightness temperature data. <span class="hlt">Sea</span> ice type and ice concentration algorithms utilized OKEAN's two-channel radar and passive microwave data in a linear mixture model based on the measured values of brightness temperature and radar backscatter, together with a priori knowledge about the scattering parameters and natural emissivities of basic <span class="hlt">sea</span> ice types. OKEAN 01 data and algorithms tended to classify lower concentrations of young or first-year <span class="hlt">sea</span> ice when concentrations were less than 60%, and to produce higher concentrations of multi-year <span class="hlt">sea</span> ice when concentrations were greater than 40%, when compared to estimates produced from SSM/I data. Overall, total <span class="hlt">sea</span> ice concentration maps derived independently from OKEAN 01, SSM/I, and AVHRR satellite imagery were all highly correlated, with uniform biases, and mean differences in total ice concentration of less than four percent (sd<15%).</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_4");'>4</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li class="active"><span>6</span></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_6 --> <div id="page_7" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li class="active"><span>7</span></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="121"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C31A1151B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C31A1151B"><span>Influence of <span class="hlt">sea</span> ice on <span class="hlt">Arctic</span> coasts</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barnhart, K. R.; Kay, J. E.; Overeem, I.; Anderson, R. S.</p> <p>2017-12-01</p> <p>Coasts form the dynamic interface between the terrestrial and oceanic systems. In the <span class="hlt">Arctic</span>, and in much of the world, the coast is a focal point for population, infrastructure, biodiversity, and ecosystem services. A key difference between <span class="hlt">Arctic</span> and temperate coasts is the presence of <span class="hlt">sea</span> ice. Changes in <span class="hlt">sea</span> ice cover can influence the coast because (1) the length of the <span class="hlt">sea</span> ice-free season controls the time over which nearshore water can interact with the land, and (2) the location of the <span class="hlt">sea</span> ice edge controls the fetch over which storm winds can interact with open ocean water, which in turn governs nearshore water level and wave field. We first focus on the interaction of <span class="hlt">sea</span> ice and ice-rich coasts. We combine satellite records of <span class="hlt">sea</span> ice with a model for wind-driven storm surge and waves to estimate how changes in the <span class="hlt">sea</span> ice-free season have impacted the nearshore hydrodynamic environment along Alaska's Beaufort <span class="hlt">Sea</span> Coast for the period 1979-2012. This region has experienced some of the greatest changes in both <span class="hlt">sea</span> ice cover and coastal erosion rates in the <span class="hlt">Arctic</span>: the median length of the open-water season has expanded by 90 percent, while coastal erosion rates have more than doubled from 8.7 to 19 m yr-1. At Drew Point, NW winds increase shoreline water levels that control the incision of a submarine notch, the rate-limiting step of coastal retreat. The maximum water-level setup at Drew Point has increased consistently with increasing fetch. We extend our analysis to the entire <span class="hlt">Arctic</span> using both satellite-based observations and global coupled climate model output from the Community Earth System Model Large Ensemble (CESM-LE) project. This 30-member ensemble employs a 1-degree version of the CESM-CAM5 historical forcing for the period 1920-2005, and RCP 8.5 forcing from 2005-2100. A control model run with constant pre-industrial (1850) forcing characterizes internal variability in a constant climate. Finally, we compare observations and model results to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11C0934D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11C0934D"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice syntheses: Charting across scope, scale, and knowledge systems</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Druckenmiller, M. L.; Perovich, D. K.; Francis, J. A.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice supports and intersects a multitude of societal benefit areas, including regulating regional and global climates, structuring marine food webs, providing for traditional food provisioning by indigenous peoples, and constraining marine shipping and access. At the same time, <span class="hlt">sea</span> ice is one of the most rapidly changing elements of the <span class="hlt">Arctic</span> environment and serves as a source of key physical indicators for monitoring <span class="hlt">Arctic</span> change. Before the present scientific interest in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice for climate research, it has long been, and remains, a focus of applied research for industry and national security. For generations, the icy coastal <span class="hlt">seas</span> of the North have also provided a basis for the sharing of local and indigenous knowledge between <span class="hlt">Arctic</span> residents and researchers, including anthropologists, biologists, and geoscientists. This presentation will summarize an ongoing review of existing synthesis studies of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. We will chart efforts to achieve system-level understanding across geography, temporal scales, and the ecosystem services that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice supports. In doing so, we aim to illuminate the role of interdisciplinary science, together with local and indigenous experts, in advancing knowledge of the roles of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> system and beyond, reveal the historical and scientific evolution of <span class="hlt">sea</span>-ice research, and assess current gaps in system-scale understanding.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C33E..08N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C33E..08N"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Classification and Mapping for Surface Albedo Parameterization in <span class="hlt">Sea</span> Ice Modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nghiem, S. V.; Clemente-Colón, P.; Perovich, D. K.; Polashenski, C.; Simpson, W. R.; Rigor, I. G.; Woods, J. E.; Nguyen, D. T.; Neumann, G.</p> <p>2016-12-01</p> <p>A regime shift of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from predominantly perennial <span class="hlt">sea</span> ice (multi-year ice or MYI) to seasonal <span class="hlt">sea</span> ice (first-year ice or FYI) has occurred in recent decades. This shift has profoundly altered the proportional composition of different <span class="hlt">sea</span> ice classes and the surface albedo distribution pertaining to each <span class="hlt">sea</span> ice class. Such changes impacts physical, chemical, and biological processes in the <span class="hlt">Arctic</span> atmosphere-ice-ocean system. The drastic changes upset the traditional geophysical representation of surface albedo of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover in current models. A critical science issue is that these profound changes must be rigorously and systematically observed and characterized to enable a transformative re-parameterization of key model inputs, such as ice surface albedo, to ice-ocean-atmosphere climate modeling in order to obtain re-analyses that accurately reproduce <span class="hlt">Arctic</span> changes and also to improve <span class="hlt">sea</span> ice and weather forecast models. Addressing this challenge is a strategy identified by the National Research Council study on "Seasonal to Decadal Predictions of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice - Challenges and Strategies" to replicate the new <span class="hlt">Arctic</span> reality. We review results of albedo characteristics associated with different <span class="hlt">sea</span> ice classes such as FYI and MYI. Then we demonstrate the capability for <span class="hlt">sea</span> ice classification and mapping using algorithms developed by the Jet Propulsion Laboratory and by the U.S. National Ice Center for use with multi-sourced satellite radar data at L, C, and Ku bands. Results obtained with independent algorithms for different radar frequencies consistently identify <span class="hlt">sea</span> ice classes and thereby cross-verify the <span class="hlt">sea</span> ice classification methods. Moreover, field observations obtained from buoy webcams and along an extensive trek across Elson Lagoon and a sector of the Beaufort <span class="hlt">Sea</span> during the BRomine, Ozone, and Mercury EXperiment (BROMEX) in March 2012 are used to validate satellite products of <span class="hlt">sea</span> ice classes. This research enables the mapping</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GeoRL..43.1642G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GeoRL..43.1642G"><span>Predictability of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice edge</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Goessling, H. F.; Tietsche, S.; Day, J. J.; Hawkins, E.; Jung, T.</p> <p>2016-02-01</p> <p>Skillful <span class="hlt">sea</span> ice forecasts from days to years ahead are becoming increasingly important for the operation and planning of human activities in the <span class="hlt">Arctic</span>. Here we analyze the potential predictability of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice edge in six climate models. We introduce the integrated ice-edge error (IIEE), a user-relevant verification metric defined as the area where the forecast and the "truth" disagree on the ice concentration being above or below 15%. The IIEE lends itself to decomposition into an absolute extent error, corresponding to the common <span class="hlt">sea</span> ice extent error, and a misplacement error. We find that the often-neglected misplacement error makes up more than half of the climatological IIEE. In idealized forecast ensembles initialized on 1 July, the IIEE grows faster than the absolute extent error. This means that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice edge is less predictable than <span class="hlt">sea</span> ice extent, particularly in September, with implications for the potential skill of end-user relevant forecasts.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1004873','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1004873"><span>U.S. Geological Survery Oil and Gas Resource Assessment of the Russian <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Donald Gautier; Timothy Klett</p> <p>2008-12-31</p> <p>The U.S. Geological Survey (USGS) recently completed a study of undiscovered petroleum resources in the Russian <span class="hlt">Arctic</span> as a part of its Circum-<span class="hlt">Arctic</span> Resource Appraisal (CARA), which comprised three broad areas of work: geological mapping, basin analysis, and quantitative assessment. The CARA was a probabilistic, geologically based study that used existing USGS methodology, modified somewhat for the circumstances of the <span class="hlt">Arctic</span>. New map compilation was used to identify assessment units. The CARA relied heavily on geological analysis and analog modeling, with numerical input consisting of lognormal distributions of sizes and numbers of undiscovered accumulations. Probabilistic results for individual assessment unitsmore » were statistically aggregated, taking geological dependencies into account. The U.S. Department of Energy (DOE) funds were used to support the purchase of crucial seismic data collected in the Barents <span class="hlt">Sea</span>, East Siberian <span class="hlt">Sea</span>, and Chukchi <span class="hlt">Sea</span> for use by USGS in its assessment of the Russian <span class="hlt">Arctic</span>. DOE funds were also used to purchase a commercial study, which interpreted seismic data from the northern <span class="hlt">Kara</span> <span class="hlt">Sea</span>, and for geographic information system (GIS) support of USGS mapping of geological features, province boundaries, total petroleum systems, and assessment units used in the USGS assessment.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17868292','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17868292"><span><span class="hlt">Sea</span> ice occurrence predicts genetic isolation in the <span class="hlt">Arctic</span> fox.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Geffen, Eli; Waidyaratne, Sitara; Dalén, Love; Angerbjörn, Anders; Vila, Carles; Hersteinsson, Pall; Fuglei, Eva; White, Paula A; Goltsman, Michael; Kapel, Christian M O; Wayne, Robert K</p> <p>2007-10-01</p> <p>Unlike Oceanic islands, the islands of the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> are not completely isolated from migration by terrestrial vertebrates. The pack ice connects many <span class="hlt">Arctic</span> <span class="hlt">Sea</span> islands to the mainland during winter months. The <span class="hlt">Arctic</span> fox (Alopex lagopus), which has a circumpolar distribution, populates numerous islands in the <span class="hlt">Arctic</span> <span class="hlt">Sea</span>. In this study, we used genetic data from 20 different populations, spanning the entire distribution of the <span class="hlt">Arctic</span> fox, to identify barriers to dispersal. Specifically, we considered geographical distance, occurrence of <span class="hlt">sea</span> ice, winter temperature, ecotype, and the presence of red fox and polar bear as nonexclusive factors that influence the dispersal behaviour of individuals. Using distance-based redundancy analysis and the BIOENV procedure, we showed that occurrence of <span class="hlt">sea</span> ice is the key predictor and explained 40-60% of the genetic distance among populations. In addition, our analysis identified the Commander and Pribilof Islands <span class="hlt">Arctic</span> populations as genetically unique suggesting they deserve special attention from a conservation perspective.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014GeoRL..41..880T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014GeoRL..41..880T"><span>Can regional climate engineering save the summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tilmes, S.; Jahn, Alexandra; Kay, Jennifer E.; Holland, Marika; Lamarque, Jean-Francois</p> <p>2014-02-01</p> <p>Rapid declines in summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent are projected under high-forcing future climate scenarios. Regional <span class="hlt">Arctic</span> climate engineering has been suggested as an emergency strategy to save the <span class="hlt">sea</span> ice. Model simulations of idealized regional dimming experiments compared to a business-as-usual greenhouse gas emission simulation demonstrate the importance of both local and remote feedback mechanisms to the surface energy budget in high latitudes. With increasing artificial reduction in incoming shortwave radiation, the positive surface albedo feedback from <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss is reduced. However, changes in <span class="hlt">Arctic</span> clouds and the strongly increasing northward heat transport both counteract the direct dimming effects. A 4 times stronger local reduction in solar radiation compared to a global experiment is required to preserve summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice area. Even with regional <span class="hlt">Arctic</span> dimming, a reduction in the strength of the oceanic meridional overturning circulation and a shut down of Labrador <span class="hlt">Sea</span> deep convection are possible.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1919277B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1919277B"><span>Quantifying model uncertainty in seasonal <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice forecasts</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Blanchard-Wrigglesworth, Edward; Barthélemy, Antoine; Chevallier, Matthieu; Cullather, Richard; Fučkar, Neven; Massonnet, François; Posey, Pamela; Wang, Wanqiu; Zhang, Jinlun; Ardilouze, Constantin; Bitz, Cecilia; Vernieres, Guillaume; Wallcraft, Alan; Wang, Muyin</p> <p>2017-04-01</p> <p>Dynamical model forecasts in the <span class="hlt">Sea</span> Ice Outlook (SIO) of September <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent over the last decade have shown lower skill than that found in both idealized model experiments and hindcasts of previous decades. Additionally, it is unclear how different model physics, initial conditions or post-processing techniques contribute to SIO forecast uncertainty. In this work, we have produced a seasonal forecast of 2015 <span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice using SIO dynamical models initialized with identical <span class="hlt">sea</span>-ice thickness in the central <span class="hlt">Arctic</span>. Our goals are to calculate the relative contribution of model uncertainty and irreducible error growth to forecast uncertainty and assess the importance of post-processing, and to contrast pan-<span class="hlt">Arctic</span> forecast uncertainty with regional forecast uncertainty. We find that prior to forecast post-processing, model uncertainty is the main contributor to forecast uncertainty, whereas after forecast post-processing forecast uncertainty is reduced overall, model uncertainty is reduced by an order of magnitude, and irreducible error growth becomes the main contributor to forecast uncertainty. While all models generally agree in their post-processed forecasts of September <span class="hlt">sea</span>-ice volume and extent, this is not the case for <span class="hlt">sea</span>-ice concentration. Additionally, forecast uncertainty of <span class="hlt">sea</span>-ice thickness grows at a much higher rate along <span class="hlt">Arctic</span> coastlines relative to the central <span class="hlt">Arctic</span> ocean. Potential ways of offering spatial forecast information based on the timescale over which the forecast signal beats the noise are also explored.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29080010','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29080010"><span>Future <span class="hlt">sea</span> ice conditions and weather forecasts in the <span class="hlt">Arctic</span>: Implications for <span class="hlt">Arctic</span> shipping.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Gascard, Jean-Claude; Riemann-Campe, Kathrin; Gerdes, Rüdiger; Schyberg, Harald; Randriamampianina, Roger; Karcher, Michael; Zhang, Jinlun; Rafizadeh, Mehrad</p> <p>2017-12-01</p> <p>The ability to forecast <span class="hlt">sea</span> ice (both extent and thickness) and weather conditions are the major factors when it comes to safe marine transportation in the <span class="hlt">Arctic</span> Ocean. This paper presents findings focusing on <span class="hlt">sea</span> ice and weather prediction in the <span class="hlt">Arctic</span> Ocean for navigation purposes, in particular along the Northeast Passage. Based on comparison with the observed <span class="hlt">sea</span> ice concentrations for validation, the best performing Earth system models from the Intergovernmental Panel on Climate Change (IPCC) program (CMIP5-Coupled Model Intercomparison Project phase 5) were selected to provide ranges of potential future <span class="hlt">sea</span> ice conditions. Our results showed that, despite a general tendency toward less <span class="hlt">sea</span> ice cover in summer, internal variability will still be large and shipping along the Northeast Passage might still be hampered by <span class="hlt">sea</span> ice blocking narrow passages. This will make <span class="hlt">sea</span> ice forecasts on shorter time and space scales and <span class="hlt">Arctic</span> weather prediction even more important.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4653624','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4653624"><span>Additional <span class="hlt">Arctic</span> observations improve weather and <span class="hlt">sea</span>-ice forecasts for the Northern <span class="hlt">Sea</span> Route</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Inoue, Jun; Yamazaki, Akira; Ono, Jun; Dethloff, Klaus; Maturilli, Marion; Neuber, Roland; Edwards, Patti; Yamaguchi, Hajime</p> <p>2015-01-01</p> <p>During ice-free periods, the Northern <span class="hlt">Sea</span> Route (NSR) could be an attractive shipping route. The decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent, however, could be associated with an increase in the frequency of the causes of severe weather phenomena, and high wind-driven waves and the advection of <span class="hlt">sea</span> ice could make ship navigation along the NSR difficult. Accurate forecasts of weather and <span class="hlt">sea</span> ice are desirable for safe navigation, but large uncertainties exist in current forecasts, partly owing to the sparse observational network over the <span class="hlt">Arctic</span> Ocean. Here, we show that the incorporation of additional <span class="hlt">Arctic</span> observations improves the initial analysis and enhances the skill of weather and <span class="hlt">sea</span>-ice forecasts, the application of which has socioeconomic benefits. Comparison of 63-member ensemble atmospheric forecasts, using different initial data sets, revealed that additional <span class="hlt">Arctic</span> radiosonde observations were useful for predicting a persistent strong wind event. The <span class="hlt">sea</span>-ice forecast, initialised by the wind fields that included the effects of the observations, skilfully predicted rapid wind-driven <span class="hlt">sea</span>-ice advection along the NSR. PMID:26585690</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C24A..01N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C24A..01N"><span><span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span> Ice Changes and Impacts (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nghiem, S. V.</p> <p>2013-12-01</p> <p>The extent of springtime <span class="hlt">Arctic</span> perennial <span class="hlt">sea</span> ice, important to preconditioning summer melt and to polar sunrise photochemistry, continues its precipitous reduction in the last decade marked by a record low in 2012, as the Bromine, Ozone, and Mercury Experiment (BROMEX) was conducted around Barrow, Alaska, to investigate impacts of <span class="hlt">sea</span> ice reduction on photochemical processes, transport, and distribution in the polar environment. In spring 2013, there was further loss of perennial <span class="hlt">sea</span> ice, as it was not observed in the ocean region adjacent to the Alaskan north coast, where there was a stretch of perennial <span class="hlt">sea</span> ice in 2012 in the Beaufort <span class="hlt">Sea</span> and Chukchi <span class="hlt">Sea</span>. In contrast to the rapid and extensive loss of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span>, Antarctic <span class="hlt">sea</span> ice has a trend of a slight increase in the past three decades. Given the significant variability in time and in space together with uncertainties in satellite observations, the increasing trend of Antarctic <span class="hlt">sea</span> ice may arguably be considered as having a low confidence level; however, there was no overall reduction of Antarctic <span class="hlt">sea</span> ice extent anywhere close to the decreasing rate of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. There exist publications presenting various factors driving changes in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice. After a short review of these published factors, new observations and atmospheric, oceanic, hydrological, and geological mechanisms contributed to different behaviors of <span class="hlt">sea</span> ice changes in the <span class="hlt">Arctic</span> and Antarctic are presented. The contribution from of hydrologic factors may provide a linkage to and enhance thermal impacts from lower latitudes. While geological factors may affect the sensitivity of <span class="hlt">sea</span> ice response to climate change, these factors can serve as the long-term memory in the system that should be exploited to improve future projections or predictions of <span class="hlt">sea</span> ice changes. Furthermore, similarities and differences in chemical impacts of <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice changes are discussed. Understanding <span class="hlt">sea</span> ice changes and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JSeis.tmp...53M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JSeis.tmp...53M"><span>The instrumental seismicity of the Barents and <span class="hlt">Kara</span> <span class="hlt">sea</span> region: relocated event catalog from early twentieth century to 1989</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Morozov, Alexey Nikolaevich; Vaganova, Natalya V.; Asming, Vladimir E.; Konechnaya, Yana V.; Evtyugina, Zinaida A.</p> <p>2018-05-01</p> <p>We have relocated seismic events registered within the Barents and <span class="hlt">Kara</span> <span class="hlt">sea</span> region from early twentieth century to 1989 with a view to creating a relocated catalog. For the relocation, we collected all available seismic bulletins from the global network using data from the ISC Bulletin (International Seismological Centre), ISC-GEM project (International Seismological Centre-Global Earthquake Model), EuroSeismos project, and by Soviet seismic stations from Geophysical Survey of the Russian Academy of Sciences. The location was performed by applying a modified method of generalized beamforming. We have considered several travel time models and selected one with the best location accuracy for ground truth events. Verification of the modified method and selection of the travel time model were performed using data on four nuclear explosions that occurred in the area of the Novaya Zemlya Archipelago and in the north of the European part of Russia. The modified method and the Barents travel time model provide sufficient accuracy for event location in the region. The relocation procedure was applied to 31 of 36 seismic events registered within the Barents and <span class="hlt">Kara</span> <span class="hlt">sea</span> region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A51E2112C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A51E2112C"><span>Synoptic Drivers of Precipitation in the Atlantic Sector of the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cohen, L.; Hudson, S.; Graham, R.; Renwick, J. A.</p> <p>2017-12-01</p> <p>Precipitation in the <span class="hlt">Arctic</span> has been shown to be increasing in recent decades, from both observational and modelling studies, with largest trends seen in autumn and winter. This trend is attributed to a combination of the warming atmosphere and reduced <span class="hlt">sea</span> ice extent. The seasonality of precipitation in the <span class="hlt">Arctic</span> is important as it largely determines whether the precipitation falls as snow or rain. This study assesses the spatial and temporal variability of the synoptic drivers of precipitation in the Atlantic (European) sector of the <span class="hlt">Arctic</span>. This region of the <span class="hlt">Arctic</span> is of particular interest as it has the largest inter-annual variability in <span class="hlt">sea</span> ice extent and is the primary pathway for moisture transport into the <span class="hlt">Arctic</span> from lower latitudes. This study uses the ECMWF ERA-I reanalysis total precipitation to compare to long-term precipitation observations from Ny Ålesund, Svalbard to show that the reanalysis captures the synoptic variability of precipitation well and that most precipitation in this region is synoptically driven. The annual variability of precipitation in the Atlantic <span class="hlt">Arctic</span> shows strong regionality. In the Svalbard and Barents <span class="hlt">Sea</span> region, most of the annual total precipitation occurs during autumn and winter (Oct-Mar) (>60% of annual total), while the high-<span class="hlt">Arctic</span> (> 80N) and <span class="hlt">Kara</span> <span class="hlt">Sea</span> receives most of the annual precipitation ( 60% of annual total) during summer (July-Sept). Using a synoptic classification developed for this region, this study shows that winter precipitation is driven by winter cyclone occurrence, with strong correlations to the AO and NAO indices. High precipitation over Svalbard is also strongly correlated with the Scandinavian blocking pattern, which produces a southerly flow in the Greenland <span class="hlt">Sea</span>/Svalbard area. An increasing occurrence of these synoptic patterns are seen for winter months (Nov and Jan), which may explain much of the observed winter increase in precipitation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy...49.1399B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy...49.1399B"><span>Multi-model seasonal forecast of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice: forecast uncertainty at pan-<span class="hlt">Arctic</span> and regional scales</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Blanchard-Wrigglesworth, E.; Barthélemy, A.; Chevallier, M.; Cullather, R.; Fučkar, N.; Massonnet, F.; Posey, P.; Wang, W.; Zhang, J.; Ardilouze, C.; Bitz, C. M.; Vernieres, G.; Wallcraft, A.; Wang, M.</p> <p>2017-08-01</p> <p>Dynamical model forecasts in the <span class="hlt">Sea</span> Ice Outlook (SIO) of September <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent over the last decade have shown lower skill than that found in both idealized model experiments and hindcasts of previous decades. Additionally, it is unclear how different model physics, initial conditions or forecast post-processing (bias correction) techniques contribute to SIO forecast uncertainty. In this work, we have produced a seasonal forecast of 2015 <span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice using SIO dynamical models initialized with identical <span class="hlt">sea</span>-ice thickness in the central <span class="hlt">Arctic</span>. Our goals are to calculate the relative contribution of model uncertainty and irreducible error growth to forecast uncertainty and assess the importance of post-processing, and to contrast pan-<span class="hlt">Arctic</span> forecast uncertainty with regional forecast uncertainty. We find that prior to forecast post-processing, model uncertainty is the main contributor to forecast uncertainty, whereas after forecast post-processing forecast uncertainty is reduced overall, model uncertainty is reduced by an order of magnitude, and irreducible error growth becomes the main contributor to forecast uncertainty. While all models generally agree in their post-processed forecasts of September <span class="hlt">sea</span>-ice volume and extent, this is not the case for <span class="hlt">sea</span>-ice concentration. Additionally, forecast uncertainty of <span class="hlt">sea</span>-ice thickness grows at a much higher rate along <span class="hlt">Arctic</span> coastlines relative to the central <span class="hlt">Arctic</span> ocean. Potential ways of offering spatial forecast information based on the timescale over which the forecast signal beats the noise are also explored.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A31D0050O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A31D0050O"><span>The role of summer surface wind anomalies in the summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent in 2010 and 2011</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ogi, M.; Wallace, J. M.</p> <p>2012-12-01</p> <p> characterized by strong anticyclonic wind anomalies over the <span class="hlt">Arctic</span> Ocean. The corresponding pattern for July-August-September (JAS) is dominated by a cyclonic gyre centered over the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. The corresponding patterns for 2007 are weak in MJ and strongly anticyclonic in JAS. The JJA pattern in 2011 is characterized by anticyclonic wind anomalies over the <span class="hlt">Arctic</span> directed toward the Fram Strait, whereas the September pattern exhibits wind anomalies directed away from the Fram Strait across the central <span class="hlt">Arctic</span> Ocean toward the Chukchi <span class="hlt">Sea</span>. The corresponding patterns for 2007 are strongly anticyclonic and directed toward the Fram Strait in both JJA and September. In the absence of the late season push by the winds, the ice did not retreat quite as far in 2011 as it did in 2007. We have shown evidence that low level winds over the <span class="hlt">Arctic</span> play an important role in mediating the rate of retreat of <span class="hlt">sea</span> ice during summer. Anomalous anticyclonic flow over the interior of the <span class="hlt">Arctic</span> directed toward the Fram Strait favors rapid retreat and vice versa. We have argued that the relative rankings of the September SIE for the years 2007, 2010 and 2011 are largely attributable to the differing rates of decrease of SIE during these summers, which are a consequence of year-to-year differences in the seasonal evolution of summertime winds over the <span class="hlt">Arctic</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.C53D..01N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.C53D..01N"><span>Examining Differences in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span> Ice Change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nghiem, S. V.; Rigor, I. G.; Clemente-Colon, P.; Neumann, G.; Li, P.</p> <p>2015-12-01</p> <p>The paradox of the rapid reduction of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice versus the stability (or slight increase) of Antarctic <span class="hlt">sea</span> ice remains a challenge in the cryospheric science research community. Here we start by reviewing a number of explanations that have been suggested by different researchers and authors. One suggestion is that stratospheric ozone depletion may affect atmospheric circulation and wind patterns such as the Southern Annular Mode, and thereby sustaining the Antarctic <span class="hlt">sea</span> ice cover. The reduction of salinity and density in the near-surface layer may weaken the convective mixing of cold and warmer waters, and thus maintaining regions of no warming around the Antarctic. A decrease in <span class="hlt">sea</span> ice growth may reduce salt rejection and upper-ocean density to enhance thermohalocline stratification, and thus supporting Antarctic <span class="hlt">sea</span> ice production. Melt water from Antarctic ice shelves collects in a cool and fresh surface layer to shield the surface ocean from the warmer deeper waters, and thus leading to an expansion of Antarctic <span class="hlt">sea</span> ice. Also, wind effects may positively contribute to Antarctic <span class="hlt">sea</span> ice growth. Moreover, Antarctica lacks of additional heat sources such as warm river discharge to melt <span class="hlt">sea</span> ice as opposed to the case in the <span class="hlt">Arctic</span>. Despite of these suggested explanations, factors that can consistently and persistently maintains the stability of <span class="hlt">sea</span> ice still need to be identified for the Antarctic, which are opposed to factors that help accelerate <span class="hlt">sea</span> ice loss in the <span class="hlt">Arctic</span>. In this respect, using decadal observations from multiple satellite datasets, we examine differences in <span class="hlt">sea</span> ice properties and distributions, together with dynamic and thermodynamic processes and interactions with land, ocean, and atmosphere, causing differences in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice change to contribute to resolving the <span class="hlt">Arctic</span>-Antarctic <span class="hlt">sea</span> ice paradox.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70040729','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70040729"><span>The impact of lower <span class="hlt">sea</span>-ice extent on <span class="hlt">Arctic</span> greenhouse-gas exchange</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Parmentier, Frans-Jan W.; Christensen, Torben R.; Sørensen, Lise Lotte; Rysgaard, Søren; McGuire, A. David; Miller, Paul A.; Walker, Donald A.</p> <p>2013-01-01</p> <p>In September 2012, <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent plummeted to a new record low: two times lower than the 1979–2000 average. Often, record lows in <span class="hlt">sea</span>-ice cover are hailed as an example of climate change impacts in the <span class="hlt">Arctic</span>. Less apparent, however, are the implications of reduced <span class="hlt">sea</span>-ice cover in the <span class="hlt">Arctic</span> Ocean for marine–atmosphere CO2 exchange. <span class="hlt">Sea</span>-ice decline has been connected to increasing air temperatures at high latitudes. Temperature is a key controlling factor in the terrestrial exchange of CO2 and methane, and therefore the greenhouse-gas balance of the <span class="hlt">Arctic</span>. Despite the large potential for feedbacks, many studies do not connect the diminishing <span class="hlt">sea</span>-ice extent with changes in the interaction of the marine and terrestrial <span class="hlt">Arctic</span> with the atmosphere. In this Review, we assess how current understanding of the <span class="hlt">Arctic</span> Ocean and high-latitude ecosystems can be used to predict the impact of a lower <span class="hlt">sea</span>-ice cover on <span class="hlt">Arctic</span> greenhouse-gas exchange.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/AD1013737','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/AD1013737"><span>SWIFT Observations in the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> State DRI</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2015-09-30</p> <p>to understand the role of waves and <span class="hlt">sea</span> state in the <span class="hlt">Arctic</span> Ocean, such that forecast models are improved and a robust climatology is defined...OBJECTIVES The objectives are to: develop a <span class="hlt">sea</span> state climatology for the <span class="hlt">Arctic</span> Ocean, improve wave forecasting in the presence of <span class="hlt">sea</span> ice, improve...experiment, coordination of remote sensing products, and analysis of climatology . A detailed cruise plan has been written, including a table of the remote</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70017033','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70017033"><span>Sediments in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice: Implications for entrainment, transport and release</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Nurnberg, D.; Wollenburg, I.; Dethleff, D.; Eicken, H.; Kassens, H.; Letzig, T.; Reimnitz, E.; Thiede, Jorn</p> <p>1994-01-01</p> <p>Despite the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover's recognized sensitivity to environmental change, the role of sediment inclusions in lowering ice albedo and affecting ice ablation is poorly understood. <span class="hlt">Sea</span> ice sediment inclusions were studied in the central <span class="hlt">Arctic</span> Ocean during the <span class="hlt">Arctic</span> 91 expedition and in the Laptev <span class="hlt">Sea</span> (East Siberian <span class="hlt">Arctic</span> Region Expedition 1992). Results from these investigations are here combined with previous studies performed in major areas of ice ablation and the southern central <span class="hlt">Arctic</span> Ocean. This study documents the regional distribution and composition of particle-laden ice, investigates and evaluates processes by which sediment is incorporated into the ice cover, and identifies transport paths and probable depositional centers for the released sediment. In April 1992, <span class="hlt">sea</span> ice in the Laptev <span class="hlt">Sea</span> was relatively clean. The sediment occasionally observed was distributed diffusely over the entire ice column, forming turbid ice. Observations indicate that frazil and anchor ice formation occurring in a large coastal polynya provide a main mechanism for sediment entrainment. In the central <span class="hlt">Arctic</span> Ocean sediments are concentrated in layers within or at the surface of ice floes due to melting and refreezing processes. The surface sediment accumulation in central <span class="hlt">Arctic</span> multi-year <span class="hlt">sea</span> ice exceeds by far the amounts observed in first-year ice from the Laptev <span class="hlt">Sea</span> in April 1992. <span class="hlt">Sea</span> ice sediments are generally fine grained, although coarse sediments and stones up to 5 cm in diameter are observed. Component analysis indicates that quartz and clay minerals are the main terrigenous sediment particles. The biogenous components, namely shells of pelecypods and benthic foraminiferal tests, point to a shallow, benthic, marine source area. Apparently, sediment inclusions were resuspended from shelf areas before and incorporated into the <span class="hlt">sea</span> ice by suspension freezing. Clay mineralogy of ice-rafted sediments provides information on potential source areas. A smectite</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..1413439B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..1413439B"><span>Changes in the seasonality of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and temperature</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bintanja, R.</p> <p>2012-04-01</p> <p>Observations show that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is currently declining as a result of climate warming. According to climate models, this retreat will continue and possibly accelerate in the near-future. However, the magnitude of this decline is not the same throughout the year. With temperatures near or above the freezing point, summertime <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice will quickly diminish. However, at temperatures well below freezing, the <span class="hlt">sea</span> ice cover during winter will exhibit a much weaker decline. In the future, the <span class="hlt">sea</span> ice seasonal cycle will be no ice in summer, and thin one-year ice in winter. Hence, the seasonal cycle in <span class="hlt">sea</span> ice cover will increase with ongoing climate warming. This in itself leads to an increased summer-winter contrast in surface air temperature, because changes in <span class="hlt">sea</span> ice have a dominant influence on <span class="hlt">Arctic</span> temperature and its seasonality. Currently, the annual amplitude in air temperature is decreasing, however, because winters warm faster than summer. With ongoing summer <span class="hlt">sea</span> ice reductions there will come a time when the annual temperature amplitude will increase again because of the large seasonal changes in <span class="hlt">sea</span> ice. This suggests that changes in the seasonal cycle in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and temperature are closely, and intricately, connected. Future changes in <span class="hlt">Arctic</span> seasonality (will) have an profound effect on flora, fauna, humans and economic activities.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li class="active"><span>7</span></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_7 --> <div id="page_8" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="141"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C43B0761S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C43B0761S"><span>Current Status and Future Plan of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice monitoring in South Korea</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shin, J.; Park, J.</p> <p>2016-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is one of the most important parameters in climate. For monitoring of <span class="hlt">sea</span> ice changes, the National Meteorological Satellite Center (NMSC) of Korea Metrological Administration has developed the "<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice monitoring system" to retrieve the <span class="hlt">sea</span> ice extent and surface roughness using microwave sensor data, and statistical prediction model for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent. This system has been implemented to the web site for real-time public service. The <span class="hlt">sea</span> ice information can be retrieved using the spaceborne microwave sensor-Special Sensor Microwave Imager/Sounder (SSMI/S). The <span class="hlt">sea</span> ice information like <span class="hlt">sea</span> ice extent, <span class="hlt">sea</span> ice surface roughness, and predictive <span class="hlt">sea</span> ice extent are produced weekly base since 2007. We also publish the "Analysis report of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice" twice a year. We are trying to add more <span class="hlt">sea</span> ice information into this system. Details of current status and future plan of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice monitoring and the methodology of the <span class="hlt">sea</span> ice information retrievals will be presented in the meeting.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE44C1529F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE44C1529F"><span>Comparing growth rates of <span class="hlt">Arctic</span> Cod Boreogadus saida across the Chukchi and Beaufort <span class="hlt">Seas</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Frothingham, A. M.; Norcross, B.</p> <p>2016-02-01</p> <p>Dramatic changes to the <span class="hlt">Arctic</span> have highlighted the need for a greater understanding of the present ecosystem. <span class="hlt">Arctic</span> Cod, Boreogadus saida, commonly dominate fish assemblages in the <span class="hlt">Arctic</span> region and inhabit two geographically unique <span class="hlt">seas</span> in the U.S. Due to the importance of <span class="hlt">Arctic</span> Cod in the <span class="hlt">Arctic</span> food web, establishing current benchmark information such as growth rates, will provide a better understanding as to how the species will adapt to the effects of climate change. To investigate differences in <span class="hlt">Arctic</span> Cod life history across nearly 1500 km of vital habitat, growth rates were examined using a von Bertalanffy growth equation. <span class="hlt">Arctic</span> Cod were collected from 2009 to 2014 from the Chukchi and Beaufort <span class="hlt">seas</span>. <span class="hlt">Arctic</span> Cod collected from the Chukchi <span class="hlt">Sea</span> had an overall smaller maximum achievable length (210 mm) compared to the Beaufort <span class="hlt">Sea</span> (253 mm) despite a larger sample size in the Chukchi <span class="hlt">Sea</span> (n=1569) than the Beaufort <span class="hlt">Sea</span> (n=1140). Growth rates indicated faster growth in the Chukchi <span class="hlt">Sea</span> (K =0.33) than in the Beaufort <span class="hlt">Sea</span> (K= 0.29). <span class="hlt">Arctic</span> Cod collected from the Chukchi <span class="hlt">Sea</span> had similar achievable maximum lengths throughout, but those collected from the southern Chukchi <span class="hlt">Sea</span> grew at faster rates (K=0.45).<span class="hlt">Arctic</span> Cod in the eastern Beaufort <span class="hlt">Sea</span> region had a higher overall maximum achievable length (243 mm) than in the western Beaufort <span class="hlt">Sea</span> region (186 mm). Knowledge about contemporary growth rates of <span class="hlt">Arctic</span> Cod in the Chukchi and Beaufort <span class="hlt">Seas</span> can be used in future comparisons to evaluate potential effects of increasing climate change and anthropogenic influences.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMGC13C1092S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMGC13C1092S"><span>Impacts of projected <span class="hlt">sea</span> ice changes on trans-<span class="hlt">Arctic</span> navigation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stephenson, S. R.; Smith, L. C.</p> <p>2012-12-01</p> <p>Reduced <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice continues to be a palpable signal of global change. Record lows in September <span class="hlt">sea</span> ice extent from 2007 - 2011 have fueled speculation that trans-<span class="hlt">Arctic</span> navigation routes may become physically viable in the 21st century. General Circulation Models project a nearly ice-free <span class="hlt">Arctic</span> Ocean in summer by mid-century; however, how reduced <span class="hlt">sea</span> ice will realistically impact navigation is not well understood. Using the ATAM (<span class="hlt">Arctic</span> Transportation Accessibility Model) we present simulations of 21st-century trans-<span class="hlt">Arctic</span> voyages as a function of climatic (ice) conditions and vessel class. Simulations are based on <span class="hlt">sea</span> ice projections for three climatic forcing scenarios (RCP 4.5, 6.0, and 8.5 W/m^2) representing present-day and mid-century conditions, assuming Polar Class 6 (PC6) and open-water vessels (OW) with medium and no ice-breaking capability, respectively. Optimal least-cost routes (minimizing travel time while avoiding ice impassible to a given vessel class) between the North Atlantic and the Bering Strait were calculated for summer months of each time window. While <span class="hlt">Arctic</span> navigation depends on other factors besides <span class="hlt">sea</span> ice including economics, infrastructure, bathymetry, current, and weather, these projections should be useful for strategic planning by governments, regulatory and environmental agencies, and the global maritime industry to assess potential changes in the spatial and temporal ranges of <span class="hlt">Arctic</span> marine operations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19890018776','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19890018776"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice studies with passive microwave satellite observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cavalieri, D. J.</p> <p>1988-01-01</p> <p>The objectives of this research are: (1) to improve <span class="hlt">sea</span> ice concentration determinations from passive microwave space observations; (2) to study the role of <span class="hlt">Arctic</span> polynyas in the production of <span class="hlt">sea</span> ice and the associated salinization of <span class="hlt">Arctic</span> shelf water; and (3) to study large scale <span class="hlt">sea</span> ice variability in the polar oceans. The strategy is to analyze existing data sets and data acquired from both the DMSP SSM/I and recently completed aircraft underflights. Special attention will be given the high resolution 85.5 GHz SSM/I channels for application to thin ice algorithms and processes studies. Analysis of aircraft and satellite data sets is expected to provide a basis for determining the potential of the SSM/I high frequency channels for improving <span class="hlt">sea</span> ice algorithms and for investigating oceanic processes. Improved <span class="hlt">sea</span> ice algorithms will aid the study of <span class="hlt">Arctic</span> coastal polynyas which in turn will provide a better understanding of the role of these polynyas in maintaining the <span class="hlt">Arctic</span> watermass structure. Analysis of satellite and archived meteorological data sets will provide improved estimates of annual, seasonal and shorter-term <span class="hlt">sea</span> ice variability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C21B1124W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C21B1124W"><span>Synthesis of User Needs for <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Predictions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wiggins, H. V.; Turner-Bogren, E. J.; Sheffield Guy, L.</p> <p>2017-12-01</p> <p>Forecasting <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice on sub-seasonal to seasonal scales in a changing <span class="hlt">Arctic</span> is of interest to a diverse range of stakeholders. However, <span class="hlt">sea</span> ice forecasting is still challenging due to high variability in weather and ocean conditions and limits to prediction capabilities; the science needs for observations and modeling are extensive. At a time of challenged science funding, one way to prioritize <span class="hlt">sea</span> ice prediction efforts is to examine the information needs of various stakeholder groups. This poster will present a summary and synthesis of existing surveys, reports, and other literature that examines user needs for <span class="hlt">sea</span> ice predictions. The synthesis will include lessons learned from the <span class="hlt">Sea</span> Ice Prediction Network (a collaborative, multi-agency-funded project focused on seasonal <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice predictions), the <span class="hlt">Sea</span> Ice for Walrus Outlook (a resource for Alaska Native subsistence hunters and coastal communities, that provides reports on weather and <span class="hlt">sea</span> ice conditions), and other efforts. The poster will specifically compare the scales and variables of <span class="hlt">sea</span> ice forecasts currently available, as compared to what information is requested by various user groups.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000613.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000613.html"><span>Approaching the 2015 <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Minimum</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p>As the sun sets over the <span class="hlt">Arctic</span>, the end of this year’s melt season is quickly approaching and the <span class="hlt">sea</span> ice cover has already shrunk to the fourth lowest in the satellite record. With possibly some days of melting left, the <span class="hlt">sea</span> ice extent could still drop to the second or third lowest on record. <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, which regulates the planet’s temperature by bouncing solar energy back to space, has been on a steep decline for the last two decades. This animation shows the evolution of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in 2015, from its annual maximum wintertime extent, reached on February 25, to September 6. Credit: NASA Scientific Visualization Studio DOWNLOAD THIS VIDEO HERE: svs.gsfc.nasa.gov/cgi-bin/details.cgi?aid=11999 NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.8283O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.8283O"><span>Spatial patterns of water quality parameters in upper layer of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in summer 2016 based on laser remote sensing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Osokina, Varvara; Pelevin, Vadim; Shatravin, Alexander; Belyaev, Nikolay; Demidov, Andrey; Redzhepova, Zuleyha</p> <p>2017-04-01</p> <p>The paper represents results of remote sensing by means of Laser Induced Fluorescence LiDAR during the expedition in <span class="hlt">Kara</span> <span class="hlt">Sea</span> in summer 2016. The expedition took place in Western and Southern parts of <span class="hlt">Kara</span> <span class="hlt">Sea</span> including Ob and Yenisei areas from June, 14 to August, 20 2016. The LiDAR observations were obtained from the research vessel Mstislav Keldysh and included 4600 km of almost continuous measurements and 94 complex stations. As a result now there is a vast LiDAR database available for scientific purposes. The data were processed and recalculated providing a set of high resolution maps of distribution of main oceanographic water quality parameters including chlorophyll "a", total organic carbon and total suspended matter in surface layer. The proceeded maps give a precise information about the location of frontal zones between Ob and Yenisei waters and <span class="hlt">Kara</span> <span class="hlt">Sea</span> waters, provide a detailed picture of complex surface water structure in central <span class="hlt">Kara</span> <span class="hlt">Sea</span> and other locations and present data about spatial distinction of concentrations of measured water parameters. The LiDAR measurements were afterwards compared to data, obtained by underway flow-through CTD measuring system and satellite images providing adjunct information on water parameters' distribution features. The instruments of UFL (Ultraviolet fluorescent LiDAR) series were developed by the Shirshov Institute of Oceanology, Moscow, Russia, and have been successfully used in lots of scientific expeditions in different water areas. UFL LiDARs take measurements with sampling rate up to 2 Hz from the vessel under way in any weather or sunlight conditions. The measurements are linked to a GPS, and so all data are geo-tagged and can be used to create interpolated maps of the measured parameters. The instrument analyses backward signal from dual excitation (355, 532 nm) laser pulses emitted at 2 Hz. The signal is detected across 11 bands in series (355, 385, 404, 424, 440, 460, 499, 532, 620, 651, 685 nm) on</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010Ocgy...50..759S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010Ocgy...50..759S"><span>Bacterial and primary production in the pelagic zone of the <span class="hlt">Kara</span> <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sazhin, A. F.; Romanova, N. D.; Mosharov, S. A.</p> <p>2010-10-01</p> <p>Data on the bacterial and primary production, which were obtained simultaneously for the same water samples, are presented for three regions of the <span class="hlt">Kara</span> <span class="hlt">Sea</span>. The samples were collected for the transect westwards of the Yamal Peninsula, along the St. Anna Trough, and the transect in Ob Bay. Direct counts of the DAPI-stained bacterial cells were performed. The bacterial production and grazing rates were determined using a direct method when metabolic inhibitors vancomycin and penicillin were added. The primary production rates were estimated using the 14C method. The average primary production was 112.6, 58.5, and 28.7 mg C m-2 day-1, and the bacterial production was 12.8, 48.9, and 81.6 mg C m-2 day-1 along the Yamal Peninsula, the St. Anna Trough, and Ob Bay, respectively. The average bacterial carbon demand was 34.6, 134.5, and 220.4 mg C m-2 day-1 for these regions, respectively. The data obtained lead us to conclude that the phytoplankton-synthesized organic matter is generally insufficient to satisfy the bacterial carbon demand and may be completely assimilated via the heterotrophic processes in the marine ecosystems. Therefore, the bacterial activity and, consequently, the amount of the synthesized biomass (i.e., the production) both depend directly on the phytoplankton’s condition and activity. We consider these relationships to be characteristics of the <span class="hlt">Kara</span> Sea’s biota.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11C0923F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11C0923F"><span>Improving <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Observations and Data Access to Support Advances in <span class="hlt">Sea</span> Ice Forecasting</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Farrell, S. L.</p> <p>2017-12-01</p> <p>The economic and strategic importance of the <span class="hlt">Arctic</span> region is becoming apparent. One of the most striking and widely publicized changes underway is the declining <span class="hlt">sea</span> ice cover. Since <span class="hlt">sea</span> ice is a key component of the climate system, its ongoing loss has serious, and wide-ranging, socio-economic implications. Increasing year-to-year variability in the geographic location, concentration, and thickness of the <span class="hlt">Arctic</span> ice cover will pose both challenges and opportunities. The <span class="hlt">sea</span> ice research community must be engaged in sustained <span class="hlt">Arctic</span> Observing Network (AON) initiatives so as to deliver fit-for-purpose remote sensing data products to a variety of stakeholders including <span class="hlt">Arctic</span> communities, the weather forecasting and climate modeling communities, industry, local, regional and national governments, and policy makers. An example of engagement is the work currently underway to improve research collaborations between scientists engaged in obtaining and assessing <span class="hlt">sea</span> ice observational data and those conducting numerical modeling studies and forecasting ice conditions. As part of the US AON, in collaboration with the Interagency <span class="hlt">Arctic</span> Research Policy Committee (IARPC), we are developing a strategic framework within which observers and modelers can work towards the common goal of improved <span class="hlt">sea</span> ice forecasting. Here, we focus on <span class="hlt">sea</span> ice thickness, a key varaible of the <span class="hlt">Arctic</span> ice cover. We describe multi-sensor, and blended, <span class="hlt">sea</span> ice thickness data products under development that can be leveraged to improve model initialization and validation, as well as support data assimilation exercises. We will also present the new PolarWatch initiative (polarwatch.noaa.gov) and discuss efforts to advance access to remote sensing satellite observations and improve communication with <span class="hlt">Arctic</span> stakeholders, so as to deliver data products that best address societal needs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GeoRL..43.6332S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GeoRL..43.6332S"><span>Using timing of ice retreat to predict timing of fall freeze-up in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stroeve, Julienne C.; Crawford, Alex D.; Stammerjohn, Sharon</p> <p>2016-06-01</p> <p>Reliable forecasts of the timing of <span class="hlt">sea</span> ice advance are needed in order to reduce risks associated with operating in the <span class="hlt">Arctic</span> as well as planning of human and environmental emergencies. This study investigates the use of a simple statistical model relating the timing of ice retreat to the timing of ice advance, taking advantage of the inherent predictive power supplied by the seasonal ice-albedo feedback and ocean heat uptake. Results show that using the last retreat date to predict the first advance date is applicable in some regions, such as Baffin Bay and the Laptev and East Siberian <span class="hlt">seas</span>, where a predictive skill is found even after accounting for the long-term trend in both variables. Elsewhere, in the <span class="hlt">Arctic</span>, there is some predictive skills depending on the year (e.g., <span class="hlt">Kara</span> and Beaufort <span class="hlt">seas</span>), but none in regions such as the Barents and Bering <span class="hlt">seas</span> or the <span class="hlt">Sea</span> of Okhotsk. While there is some suggestion that the relationship is strengthening over time, this may reflect that higher correlations are expected during periods when the underlying trend is strong.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=PIA02971&hterms=sea+world&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea%2Bworld','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=PIA02971&hterms=sea+world&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea%2Bworld"><span>Comparative Views of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Growth</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>2000-01-01</p> <p>NASA researchers have new insights into the mysteries of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, thanks to the unique abilities of Canada's Radarsat satellite. The <span class="hlt">Arctic</span> is the smallest of the world's four oceans, but it may play a large role in helping scientists monitor Earth's climate shifts.<p/>Using Radarsat's special sensors to take images at night and to peer through clouds, NASA researchers can now see the complete ice cover of the <span class="hlt">Arctic</span>. This allows tracking of any shifts and changes, in unprecedented detail, over the course of an entire winter. The radar-generated, high-resolution images are up to 100 times better than those taken by previous satellites.<p/>The two images above are separated by nine days (earlier image on the left). Both images represent an area (approximately 96 by 128 kilometers; 60 by 80 miles)located in the Baufort <span class="hlt">Sea</span>, north of the Alaskan coast. The brighter features are older thicker ice and the darker areas show young, recently formed ice. Within the nine-day span, large and extensive cracks in the ice cover have formed due to ice movement. These cracks expose the open ocean to the cold, frigid atmosphere where <span class="hlt">sea</span> ice grows rapidly and thickens.<p/>Using this new information, scientists at NASA's Jet Propulsion Laboratory (JPL), Pasadena, Calif., can generate comprehensive maps of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness for the first time. 'Before we knew only the extent of the ice cover,' said Dr. Ronald Kwok, JPL principal investigator of a project called <span class="hlt">Sea</span> Ice Thickness Derived From High Resolution Radar Imagery. 'We also knew that the <span class="hlt">sea</span> ice extent had decreased over the last 20 years, but we knew very little about ice thickness.'<p/>'Since <span class="hlt">sea</span> ice is very thin, about 3 meters (10 feet) or less,'Kwok explained, 'it is very sensitive to climate change.'<p/>Until now, observations of polar <span class="hlt">sea</span> ice thickness have been available for specific areas, but not for the entire polar region.<p/>The new radar mapping technique has also given scientists a close look at</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25429795','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25429795"><span>The emergence of modern <span class="hlt">sea</span> ice cover in the <span class="hlt">Arctic</span> Ocean.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Knies, Jochen; Cabedo-Sanz, Patricia; Belt, Simon T; Baranwal, Soma; Fietz, Susanne; Rosell-Melé, Antoni</p> <p>2014-11-28</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice coverage is shrinking in response to global climate change and summer ice-free conditions in the <span class="hlt">Arctic</span> Ocean are predicted by the end of the century. The validity of this prediction could potentially be tested through the reconstruction of the climate of the Pliocene epoch (5.33-2.58 million years ago), an analogue of a future warmer Earth. Here we show that, in the Eurasian sector of the <span class="hlt">Arctic</span> Ocean, ice-free conditions prevailed in the early Pliocene until <span class="hlt">sea</span> ice expanded from the central <span class="hlt">Arctic</span> Ocean for the first time ca. 4 million years ago. Amplified by a rise in topography in several regions of the <span class="hlt">Arctic</span> and enhanced freshening of the <span class="hlt">Arctic</span> Ocean, <span class="hlt">sea</span> ice expanded progressively in response to positive ice-albedo feedback mechanisms. <span class="hlt">Sea</span> ice reached its modern winter maximum extension for the first time during the culmination of the Northern Hemisphere glaciation, ca. 2.6 million years ago.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014GeoRL..41.7566D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014GeoRL..41.7566D"><span>Will <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness initialization improve seasonal forecast skill?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Day, J. J.; Hawkins, E.; Tietsche, S.</p> <p>2014-11-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness is thought to be an important predictor of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent. However, coupled seasonal forecast systems do not generally use <span class="hlt">sea</span> ice thickness observations in their initialization and are therefore missing a potentially important source of additional skill. To investigate how large this source is, a set of ensemble potential predictability experiments with a global climate model, initialized with and without knowledge of the <span class="hlt">sea</span> ice thickness initial state, have been run. These experiments show that accurate knowledge of the <span class="hlt">sea</span> ice thickness field is crucially important for <span class="hlt">sea</span> ice concentration and extent forecasts up to 8 months ahead, especially in summer. Perturbing <span class="hlt">sea</span> ice thickness also has a significant impact on the forecast error in <span class="hlt">Arctic</span> 2 m temperature a few months ahead. These results suggest that advancing capabilities to observe and assimilate <span class="hlt">sea</span> ice thickness into coupled forecast systems could significantly increase skill.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC44B..07F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC44B..07F"><span>Can <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Decline Weaken the Atlantic Meridional Overturning Circulation?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fedorov, A. V.; Sevellec, F.; Liu, W.</p> <p>2017-12-01</p> <p>The ongoing decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice exposes the ocean to anomalous surface heat and freshwater fluxes, resulting in positive buoyancy anomalies that can affect ocean circulation. In this study (detailed in Sevellec, Fedorov, Liu 2017, Nature Climate Change) we apply an optimal flux perturbation framework and comprehensive climate model simulations (using CESM) to estimate the sensitivity of the Atlantic meridional overturning circulation (AMOC) to such buoyancy forcing over the <span class="hlt">Arctic</span> and globally, and more generally AMOC sensitivity to <span class="hlt">sea</span> ice decline. We find that on decadal timescales flux anomalies over the subpolar North Atlantic have the largest impact on the AMOC; however, on multi-decadal timescales (longer than 20 years), anomalies in the <span class="hlt">Arctic</span> become more important. These positive buoyancy anomalies from the <span class="hlt">Arctic</span> spread to the North Atlantic, weakening the AMOC and its poleward heat transport after several decades. Therefore, the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline may explain the suggested slow-down of the AMOC and the "Warming Hole" persisting in the subpolar North Atlantic. Further, we discuss how the proposed connection, i.e. <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice contraction would lead to an AMOC slow-down, varies across different earth system models. Overall, this study demonstrates that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline can play an active role in ocean and climate change.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003226','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003226"><span>Does a Relationship Between <span class="hlt">Arctic</span> Low Clouds and <span class="hlt">Sea</span> Ice Matter?</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Taylor, Patrick C.</p> <p>2016-01-01</p> <p><span class="hlt">Arctic</span> low clouds strongly affect the <span class="hlt">Arctic</span> surface energy budget. Through this impact <span class="hlt">Arctic</span> low clouds influence important aspects of the <span class="hlt">Arctic</span> climate system, namely surface and atmospheric temperature, <span class="hlt">sea</span> ice extent and thickness, and atmospheric circulation. <span class="hlt">Arctic</span> clouds are in turn influenced by these elements of the <span class="hlt">Arctic</span> climate system, and these interactions create the potential for <span class="hlt">Arctic</span> cloud-climate feedbacks. To further our understanding of potential <span class="hlt">Arctic</span> cloudclimate feedbacks, the goal of this paper is to quantify the influence of atmospheric state on the surface cloud radiative effect (CRE) and its covariation with <span class="hlt">sea</span> ice concentration (SIC). We build on previous research using instantaneous, active remote sensing satellite footprint data from the NASA A-Train. First, the results indicate significant differences in the surface CRE when stratified by atmospheric state. Second, there is a weak covariation between CRE and SIC for most atmospheric conditions. Third, the results show statistically significant differences in the average surface CRE under different SIC values in fall indicating a 3-5 W m(exp -2) larger LW CRE in 0% versus 100% SIC footprints. Because systematic changes on the order of 1 W m(exp -2) are sufficient to explain the observed long-term reductions in <span class="hlt">sea</span> ice extent, our results indicate a potentially significant amplifying <span class="hlt">sea</span> ice-cloud feedback, under certain meteorological conditions, that could delay the fall freeze-up and influence the variability in <span class="hlt">sea</span> ice extent and volume. Lastly, a small change in the frequency of occurrence of atmosphere states may yield a larger <span class="hlt">Arctic</span> cloud feedback than any cloud response to <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140008934','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140008934"><span>Evaluation of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Thickness Simulated by <span class="hlt">Arctic</span> Ocean Model Intercomparison Project Models</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Johnson, Mark; Proshuntinsky, Andrew; Aksenov, Yevgeny; Nguyen, An T.; Lindsay, Ron; Haas, Christian; Zhang, Jinlun; Diansky, Nikolay; Kwok, Ron; Maslowski, Wieslaw; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140008934'); toggleEditAbsImage('author_20140008934_show'); toggleEditAbsImage('author_20140008934_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140008934_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140008934_hide"></p> <p>2012-01-01</p> <p>Six <span class="hlt">Arctic</span> Ocean Model Intercomparison Project model simulations are compared with estimates of <span class="hlt">sea</span> ice thickness derived from pan-<span class="hlt">Arctic</span> satellite freeboard measurements (2004-2008); airborne electromagnetic measurements (2001-2009); ice draft data from moored instruments in Fram Strait, the Greenland <span class="hlt">Sea</span>, and the Beaufort <span class="hlt">Sea</span> (1992-2008) and from submarines (1975-2000); and drill hole data from the <span class="hlt">Arctic</span> basin, Laptev, and East Siberian marginal <span class="hlt">seas</span> (1982-1986) and coastal stations (1998-2009). Despite an assessment of six models that differ in numerical methods, resolution, domain, forcing, and boundary conditions, the models generally overestimate the thickness of measured ice thinner than approximately 2 mand underestimate the thickness of ice measured thicker than about approximately 2m. In the regions of flat immobile landfast ice (shallow Siberian <span class="hlt">Seas</span> with depths less than 25-30 m), the models generally overestimate both the total observed <span class="hlt">sea</span> ice thickness and rates of September and October ice growth from observations by more than 4 times and more than one standard deviation, respectively. The models do not reproduce conditions of fast ice formation and growth. Instead, the modeled fast ice is replaced with pack ice which drifts, generating ridges of increasing ice thickness, in addition to thermodynamic ice growth. Considering all observational data sets, the better correlations and smaller differences from observations are from the Estimating the Circulation and Climate of the Ocean, Phase II and Pan-<span class="hlt">Arctic</span> Ice Ocean Modeling and Assimilation System models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27811286','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27811286"><span>Observed <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss directly follows anthropogenic CO2 emission.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Notz, Dirk; Stroeve, Julienne</p> <p>2016-11-11</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is retreating rapidly, raising prospects of a future ice-free <span class="hlt">Arctic</span> Ocean during summer. Because climate-model simulations of the <span class="hlt">sea</span>-ice loss differ substantially, we used a robust linear relationship between monthly-mean September <span class="hlt">sea</span>-ice area and cumulative carbon dioxide (CO 2 ) emissions to infer the future evolution of <span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice directly from the observational record. The observed linear relationship implies a sustained loss of 3 ± 0.3 square meters of September <span class="hlt">sea</span>-ice area per metric ton of CO 2 emission. On the basis of this sensitivity, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice will be lost throughout September for an additional 1000 gigatons of CO 2 emissions. Most models show a lower sensitivity, which is possibly linked to an underestimation of the modeled increase in incoming longwave radiation and of the modeled transient climate response. Copyright © 2016, American Association for the Advancement of Science.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43D2472C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43D2472C"><span>Sensitivity of the <span class="hlt">sea</span> ice concentration over the <span class="hlt">Kara</span>-Barents <span class="hlt">Sea</span> in autumn to the winter temperature variability over East Asia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cho, K. H.; Chang, E. C.</p> <p>2017-12-01</p> <p>In this study, we performed sensitivity experiments by utilizing the Global/Regional Integrated Model system with different conditions of the <span class="hlt">sea</span> ice concentration over the <span class="hlt">Kara</span>-Barents (KB) <span class="hlt">Sea</span> in autumn, which can affect winter temperature variability over East Asia. Prescribed <span class="hlt">sea</span> ice conditions are 1) climatological autumn <span class="hlt">sea</span> ice concentration obtained from 1982 to 2016, 2) reduced autumn <span class="hlt">sea</span> ice concentration by 50% of the climatology, and 3) increased autumn <span class="hlt">sea</span> ice concentration by 50% of climatology. Differently prescribed <span class="hlt">sea</span> ice concentration changes surface albedo, which affects surface heat fluxes and near-surface air temperature. The reduced (increased) <span class="hlt">sea</span> ice concentration over the KB <span class="hlt">sea</span> increases (decreases) near-surface air temperature that leads the lower (higher) <span class="hlt">sea</span> level pressure in autumn. These patterns are maintained from autumn to winter season. Furthermore, it is shown that the different <span class="hlt">sea</span> ice concentration over the KB <span class="hlt">sea</span> has remote effects on the <span class="hlt">sea</span> level pressure patterns over the East Asian region. The lower (higher) <span class="hlt">sea</span> level pressure over the KB <span class="hlt">sea</span> by the locally decreased (increased) ice concentration is related to the higher (lower) pressure pattern over the Siberian region, which induces strengthened (weakened) cold advection over the East Asian region. From these sensitivity experiments it is clarified that the decreased (increased) <span class="hlt">sea</span> ice concentration over the KB <span class="hlt">sea</span> in autumn can lead the colder (warmer) surface air temperature over East Asia in winter.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A51E2110S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A51E2110S"><span>Relating Radiative Fluxes on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Area Using <span class="hlt">Arctic</span> Observation and Reanalysis Integrated System (ArORIS)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sledd, A.; L'Ecuyer, T. S.</p> <p>2017-12-01</p> <p>With <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice declining rapidly and <span class="hlt">Arctic</span> temperatures rising faster than the rest of the globe, a better understanding of the <span class="hlt">Arctic</span> climate, and ice cover-radiation feedbacks in particular, is needed. Here we present the <span class="hlt">Arctic</span> Observation and Reanalysis Integrated System (ArORIS), a dataset of integrated products to facilitate studying the <span class="hlt">Arctic</span> using satellite, reanalysis, and in-situ datasets. The data include cloud properties, radiative fluxes, aerosols, meteorology, precipitation, and surface properties, to name just a few. Each dataset has uniform grid-spacing, time-averaging and naming conventions for ease of use between products. One intended use of ArORIS is to assess <span class="hlt">Arctic</span> radiation and moisture budgets. Following that goal, we use observations from ArORIS - CERES-EBAF radiative fluxes and NSIDC <span class="hlt">sea</span> ice fraction and area to quantify relationships between the <span class="hlt">Arctic</span> energy balance and surface properties. We find a discernable difference between energy budgets for years with high and low September <span class="hlt">sea</span> ice areas. Surface fluxes are especially responsive to the September <span class="hlt">sea</span> ice minimum in months both leading up to September and the months following. In particular, longwave fluxes at the surface show increased sensitivity in the months preceding September. Using a single-layer model of solar radiation we also investigate the individual responses of surface and planetary albedos to changes in <span class="hlt">sea</span> ice area. By partitioning the planetary albedo into surface and atmospheric contributions, we find that the atmospheric contribution to planetary albedo is less sensitive to changes in <span class="hlt">sea</span> ice area than the surface contribution. Further comparisons between observations and reanalyses can be made using the available datasets in ArORIS.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PrOce.139..244R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PrOce.139..244R"><span>The future of <span class="hlt">Arctic</span> benthos: Expansion, invasion, and biodiversity</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Renaud, Paul E.; Sejr, Mikael K.; Bluhm, Bodil A.; Sirenko, Boris; Ellingsen, Ingrid H.</p> <p>2015-12-01</p> <p>One of the logical predictions for a future <span class="hlt">Arctic</span> characterized by warmer waters and reduced <span class="hlt">sea</span>-ice is that new taxa will expand or invade <span class="hlt">Arctic</span> seafloor habitats. Specific predictions regarding where this will occur and which taxa are most likely to become established or excluded are lacking, however. We synthesize recent studies and conduct new analyses in the context of climate forecasts and a paleontological perspective to make concrete predictions as to relevant mechanisms, regions, and functional traits contributing to future biodiversity changes. Historically, a warmer <span class="hlt">Arctic</span> is more readily invaded or transited by boreal taxa than it is during cold periods. Oceanography of an ice-free <span class="hlt">Arctic</span> Ocean, combined with life-history traits of invading taxa and availability of suitable habitat, determine expansion success. It is difficult to generalize as to which taxonomic groups or locations are likely to experience expansion, however, since species-specific, and perhaps population-specific autecologies, will determine success or failure. Several examples of expansion into the <span class="hlt">Arctic</span> have been noted, and along with the results from the relatively few <span class="hlt">Arctic</span> biological time-series suggest inflow shelves (Barents and Chukchi <span class="hlt">Seas</span>), as well as West Greenland and the western <span class="hlt">Kara</span> <span class="hlt">Sea</span>, are most likely locations for expansion. Apparent temperature thresholds were identified for characteristic <span class="hlt">Arctic</span> and boreal benthic fauna suggesting strong potential for range constrictions of <span class="hlt">Arctic</span>, and expansions of boreal, fauna in the near future. Increasing human activities in the region could speed introductions of boreal fauna and reduce the value of a planktonic dispersal stage. Finally, shelf regions are likely to experience a greater impact, and also one with greater potential consequences, than the deep <span class="hlt">Arctic</span> basin. Future research strategies should focus on monitoring as well as compiling basic physiological and life-history information of <span class="hlt">Arctic</span> and boreal taxa, and</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_8 --> <div id="page_9" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li class="active"><span>9</span></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="161"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19740014838','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19740014838"><span>The application of ERTS imagery to monitoring <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. [mapping ice in Bering <span class="hlt">Sea</span>, Beaufort <span class="hlt">Sea</span>, Canadian Archipelago, and Greenland <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Barnes, J. C. (Principal Investigator); Bowley, C. J.</p> <p>1974-01-01</p> <p>The author has identified the following significant results. Because of the effect of <span class="hlt">sea</span> ice on the heat balance of the <span class="hlt">Arctic</span> and because of the expanding economic interest in <span class="hlt">arctic</span> oil and minerals, extensive monitoring and further study of <span class="hlt">sea</span> ice is required. The application of ERTS data for mapping ice is evaluated for several <span class="hlt">arctic</span> areas, including the Bering <span class="hlt">Sea</span>, the eastern Beaufort <span class="hlt">Sea</span>, parts of the Canadian Archipelago, and the Greenland <span class="hlt">Sea</span>. Interpretive techniques are discussed, and the scales and types of ice features that can be detected are described. For the Bering <span class="hlt">Sea</span>, a sample of ERTS-1 imagery is compared with visual ice reports and aerial photography from the NASA CV-990 aircraft. The results of the investigation demonstrate that ERTS-1 imagery has substantial practical application for monitoring <span class="hlt">arctic</span> <span class="hlt">sea</span> ice. Ice features as small as 80-100 m in width can be detected, and the combined use of the visible and near-IR imagery is a powerful tool for identifying ice types. Sequential ERTS-1 observations at high latitudes enable ice deformations and movements to be mapped. Ice conditions in the Bering <span class="hlt">Sea</span> during early March depicted in ERTS-1 images are in close agreement with aerial ice observations and photographs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRC..123.1896B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRC..123.1896B"><span>Water Mass Classification on a Highly Variable <span class="hlt">Arctic</span> Shelf Region: Origin of Laptev <span class="hlt">Sea</span> Water Masses and Implications for the Nutrient Budget</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bauch, D.; Cherniavskaia, E.</p> <p>2018-03-01</p> <p>Large gradients and inter annual variations on the Laptev <span class="hlt">Sea</span> shelf prevent the use of uniform property ranges for a classification of major water masses. The central Laptev <span class="hlt">Sea</span> is dominated by predominantly marine waters, locally formed polynya waters and riverine summer surface waters. Marine waters enter the central Laptev <span class="hlt">Sea</span> from the northwestern Laptev <span class="hlt">Sea</span> shelf and originate from the <span class="hlt">Kara</span> <span class="hlt">Sea</span> or the <span class="hlt">Arctic</span> Ocean halocline. Local polynya waters are formed in the Laptev <span class="hlt">Sea</span> coastal polynyas. Riverine summer surface waters are formed from Lena river discharge and local melt. We use a principal component analysis (PCA) in order to assess the distribution and importance of water masses within the Laptev <span class="hlt">Sea</span>. This mathematical method is applied to hydro-chemical summer data sets from the Laptev <span class="hlt">Sea</span> from five years and allows to define water types based on objective and statistically significant criteria. We argue that the PCA-derived water types are consistent with the Laptev <span class="hlt">Sea</span> hydrography and indeed represent the major water masses on the central Laptev <span class="hlt">Sea</span> shelf. Budgets estimated for the thus defined major Laptev <span class="hlt">Sea</span> water masses indicate that freshwater inflow from the western Laptev <span class="hlt">Sea</span> is about half or in the same order of magnitude as freshwater stored in locally formed polynya waters. Imported water dominates the nutrient budget in the central Laptev <span class="hlt">Sea</span>; and only in years with enhanced local polynya activity is the nutrient budget of the locally formed water in the same order as imported nutrients.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040120981','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040120981"><span>EOS Aqua AMSR-E <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Validation Program: <span class="hlt">Arctic</span>2003 Aircraft Campaign Flight Report</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cavalieri, D. J.; Markus,T.</p> <p>2003-01-01</p> <p>In March 2003 a coordinated <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice validation field campaign using the NASA Wallops P-3B aircraft was successfully completed. This campaign was part of the program for validating the Earth Observing System (EOS) Aqua Advanced Microwave Scanning Radiometer (AMSR-E) <span class="hlt">sea</span> ice products. The AMSR-E, designed and built by the Japanese National Space Development Agency for NASA, was launched May 4, 2002 on the EOS Aqua spacecraft. The AMSR-E <span class="hlt">sea</span> ice products to be validated include <span class="hlt">sea</span> ice concentration, <span class="hlt">sea</span> ice temperature, and snow depth on <span class="hlt">sea</span> ice. This flight report describes the suite of instruments flown on the P-3, the objectives of each of the seven flights, the <span class="hlt">Arctic</span> regions overflown, and the coordination among satellite, aircraft, and surface-based measurements. Two of the seven aircraft flights were coordinated with scientists making surface measurements of snow and ice properties including <span class="hlt">sea</span> ice temperature and snow depth on <span class="hlt">sea</span> ice at a study area near Barrow, AK and at a Navy ice camp located in the Beaufort <span class="hlt">Sea</span>. Two additional flights were dedicated to making heat and moisture flux measurements over the St. Lawrence Island polynya to support ongoing air-<span class="hlt">sea</span>-ice processes studies of <span class="hlt">Arctic</span> coastal polynyas. The remaining flights covered portions of the Bering <span class="hlt">Sea</span> ice edge, the Chukchi <span class="hlt">Sea</span>, and Norton Sound.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43D2473J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43D2473J"><span>Atmospheric teleconnections between the <span class="hlt">Arctic</span> and the Baltic <span class="hlt">Sea</span> regions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jakobson, L.; Jakobson, E.</p> <p>2017-12-01</p> <p>The observed enhanced warming of the <span class="hlt">Arctic</span>, referred to as the AA, is expected to be related to further changes that impact mid-latitudes and the rest of the world. Our aim is to clarify how the climatic parameters in the Baltic <span class="hlt">Sea</span> and <span class="hlt">Arctic</span> regions are associated. Knowledge of such connections helps to define regions in the <span class="hlt">Arctic</span> that could be with higher extent associated with the Baltic <span class="hlt">Sea</span> region climate change. We used monthly mean reanalysis data from NCEP-CFSR and ERA-Interim. The strongest teleconnections between the same parameter (temperature, SLP, specific humidity, wind speed) at the Baltic <span class="hlt">Sea</span> region and the <span class="hlt">Arctic</span> are found in winter, but they are clearly affected by the <span class="hlt">Arctic</span> Oscillation (AO) index. After removal of the AO index variability, correlations in winter were everywhere below ±0.5, while in other seasons there remained regions with strong (|R|>0.5, p<0.002) correlations. Strong correlations are also present between different climate variables at the Baltic <span class="hlt">Sea</span> region and different regions of the <span class="hlt">Arctic</span>. Temperature from 1000 to 500 hPa level at the Baltic <span class="hlt">Sea</span> region have a strong negative correlation with the Greenland sector (the region between 20 - 80W and 55 - 80N) during all seasons except summer. The positive temperature anomaly of mild winter at the Greenland sector shifts towards east during the next seasons, reaching to Scandinavia/Baltic <span class="hlt">Sea</span> region in summer. The Greenland sector is the region which gives the most significant correlations with the climatic parameters (temperature, wind speed, specific humidity, SLP) of the Baltic <span class="hlt">Sea</span> region. These relationships can be explained by the AO index variability only in winter. In other seasons there has to be other influencing factors. The results of this study are valuable for selecting regions in the <span class="hlt">Arctic</span> that have statistically the largest effect on climate in the Baltic <span class="hlt">Sea</span> region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.6148C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.6148C"><span><span class="hlt">Sea</span> level budget in the <span class="hlt">Arctic</span> during the satellite altimetry era</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Carret, Alice; Cazenave, Anny; Meyssignac, Benoît; Prandi, Pierre; Ablain, Michael; Andersen, Ole; Blazquez, Alejandro</p> <p>2016-04-01</p> <p>Studying <span class="hlt">sea</span> level variations in the <span class="hlt">Arctic</span> region is challenging because of data scarcity. Here we present results of the <span class="hlt">sea</span> level budget in the <span class="hlt">Arctic</span> (up to 82°N) during the altimetry era. We first investigate closure of the <span class="hlt">sea</span> level budget since 2002 using altimetry data from Envisat and Cryosat for estimating <span class="hlt">sea</span> level, temperature and salinity data from the ORAP5 reanalysis and GRACE space gravimetry to estimate the steric and mass components. Two altimetry <span class="hlt">sea</span> level data sets are considered (from DTU and CLS), based on Envisat waveforms retracking. Regional <span class="hlt">sea</span> level trends seen in the altimetric map, in particular over the Beaufort Gyre and along the eastern coast of Greenland are of steric origin. However, in terms of regional average, the steric component contributes very little to the observed <span class="hlt">sea</span> level trend, suggesting a dominant mass contribution in the <span class="hlt">Arctic</span> region. This is confirmed by GRACE-based ocean mass time series that agree very well with the altimetry-based <span class="hlt">sea</span> level time series. Direct estimate of the mass component is not possible prior to GRACE. Thus we estimated the mass contribution over the whole altimetry era from the difference between altimetry-based <span class="hlt">sea</span> level and the ORAP5 steric component. Finally we compared altimetry-based coastal <span class="hlt">sea</span> level with tide gauge records available along Norwegian, Greenland and Siberian coastlines and investigated whether the <span class="hlt">Arctic</span> Oscillation that was the main driver of coastal <span class="hlt">sea</span> level in the <span class="hlt">Arctic</span> during the past decades still plays a dominant role or if other factors (e.g., of anthropogenic origin) become detectable.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/AD1013702','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/AD1013702"><span>Wave Processes in <span class="hlt">Arctic</span> <span class="hlt">Seas</span>, Observed from TerraSAR-X</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2015-09-30</p> <p>in order to improve wave models as well as ice models applicable to a changing <span class="hlt">Arctic</span> wave/ and ice climate . This includes observation and...fields retrieved from the TS-X image swaths. 4. “Wave Climate and Wave Mixing in the Marginal Ice Zones of <span class="hlt">Arctic</span> <span class="hlt">Seas</span>, Observations and Modelling”, by...1 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. “Wave Processes in <span class="hlt">Arctic</span> <span class="hlt">Seas</span>, Observed from TerraSAR-X</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.6008T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.6008T"><span>Influences of Ocean Thermohaline Stratification on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Toole, J. M.; Timmermans, M.-L.; Perovich, D. K.; Krishfield, R. A.; Proshutinsky, A.; Richter-Menge, J. A.</p> <p>2009-04-01</p> <p>The <span class="hlt">Arctic</span> Ocean's surface mixed layer constitutes the dynamical and thermodynamical link between the <span class="hlt">sea</span> ice and the underlying waters. Wind stress, acting directly on the surface mixed layer or via wind-forced ice motion, produce surface currents that can in turn drive deep ocean flow. Mixed layer temperature is intimately related to basal <span class="hlt">sea</span> ice growth and melting. Heat fluxes into or out of the surface mixed layer can occur at both its upper and lower interfaces: the former via air-<span class="hlt">sea</span> exchange at leads and conduction through the ice, the latter via turbulent mixing and entrainment at the layer base. Variations in <span class="hlt">Arctic</span> Ocean mixed layer properties are documented based on more than 16,000 temperature and salinity profiles acquired by Ice-Tethered Profilers since summer 2004 and analyzed in conjunction with <span class="hlt">sea</span> ice observations from Ice Mass Balance Buoys and atmospheric heat flux estimates. Guidance interpreting the observations is provided by a one-dimensional ocean mixed layer model. The study focuses attention on the very strong density stratification about the mixed layer base in the <span class="hlt">Arctic</span> that, in regions of <span class="hlt">sea</span> ice melting, is increasing with time. The intense stratification greatly impedes mixed layer deepening by vertical convection and shear mixing, and thus limits the flux of deep ocean heat to the surface that could influence <span class="hlt">sea</span> ice growth/decay. Consistent with previous work, this study demonstrates that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is most sensitive to changes in ocean mixed layer heat resulting from fluxes across its upper (air-<span class="hlt">sea</span> and/or ice-water) interface.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADP023555','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADP023555"><span>High Resolution Simulations of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice, 1979-1993</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2003-01-01</p> <p>William H. Lipscomb * PO[ARISSP To evaluate improvements in modelling <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, we compare results from two regional models at 1/120 horizontal...resolution. The first is a coupled ice-ocean model of the <span class="hlt">Arctic</span> Ocean, consisting of an ocean model (adapted from the Parallel Ocean Program, Los...Alamos National Laboratory [LANL]) and the "old" <span class="hlt">sea</span> ice model . The second model uses the same grid but consists of an improved "new" <span class="hlt">sea</span> ice model (LANL</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.C43B0393W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.C43B0393W"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Predictability and the <span class="hlt">Sea</span> Ice Prediction Network</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wiggins, H. V.; Stroeve, J. C.</p> <p>2014-12-01</p> <p>Drastic reductions in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover have increased the demand for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice predictions by a range of stakeholders, including local communities, resource managers, industry and the public. The science of <span class="hlt">sea</span>-ice prediction has been challenged to keep up with these developments. Efforts such as the SEARCH <span class="hlt">Sea</span> Ice Outlook (SIO; http://www.arcus.org/sipn/<span class="hlt">sea</span>-ice-outlook) and the <span class="hlt">Sea</span> Ice for Walrus Outlook have provided a forum for the international <span class="hlt">sea</span>-ice prediction and observing community to explore and compare different approaches. The SIO, originally organized by the Study of Environmental Change (SEARCH), is now managed by the new <span class="hlt">Sea</span> Ice Prediction Network (SIPN), which is building a collaborative network of scientists and stakeholders to improve <span class="hlt">arctic</span> <span class="hlt">sea</span> ice prediction. The SIO synthesizes predictions from a variety of methods, including heuristic and from a statistical and/or dynamical model. In a recent study, SIO data from 2008 to 2013 were analyzed. The analysis revealed that in some years the predictions were very successful, in other years they were not. Years that were anomalous compared to the long-term trend have proven more difficult to predict, regardless of which method was employed. This year, in response to feedback from users and contributors to the SIO, several enhancements have been made to the SIO reports. One is to encourage contributors to provide spatial probability maps of <span class="hlt">sea</span> ice cover in September and the first day each location becomes ice-free; these are an example of subseasonal to seasonal, local-scale predictions. Another enhancement is a separate analysis of the modeling contributions. In the June 2014 SIO report, 10 of 28 outlooks were produced from models that explicitly simulate <span class="hlt">sea</span> ice from dynamic-thermodynamic <span class="hlt">sea</span> ice models. Half of the models included fully-coupled (atmosphere, ice, and ocean) models that additionally employ data assimilation. Both of these subsets (models and coupled models with data</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1713950A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1713950A"><span>Predicting the <span class="hlt">Arctic</span> Ocean Environment in the 21st century</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Aksenov, Yevgeny; Popova, Ekaterina; Yool, Andrew; Nurser, George</p> <p>2015-04-01</p> <p>Recent environmental changes in the <span class="hlt">Arctic</span> have clearly demonstrated that climate change is faster and more vigorously in the Polar Regions than anywhere else. Significantly, change in the <span class="hlt">Arctic</span> Ocean (AO) environment presents a variety of impacts, from ecological to social-economic and political. Mitigation of this change and adaptation to it requires detailed and robust environmental predictions. Here we present a detailed projection of ocean circulation and <span class="hlt">sea</span> ice from the present until 2099, based on an eddy-permitting high-resolution global simulation of the NEMO ¼ degree ocean model. The model is forced at the surface with HadGEM2-ES atmosphere model output from the UK Met. Office IPCC Assessment Report 5 (AR5) Representative Concentration Pathways 8.5 (RCP8.5) scenario. The HadGEM2-ES simulations span 1860-2099 and are one of an ensemble of runs performed for the Coupled Model Intercomparison Project 5 (CMIP5) and IPCC AR5. Between 2000-2009 and 2090-2099 the AO experiences a significant warming, with <span class="hlt">sea</span> surface temperature increasing on average by about 4° C, particularly in the Barents and <span class="hlt">Kara</span> <span class="hlt">Seas</span>, and in the Greenland <span class="hlt">Sea</span> and Hudson Bay. By the end of the simulation, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has an average annual thickness of less than 10 cm in the central AO, and less than 0.5 m in the East-Siberian <span class="hlt">Sea</span> and Canadian Archipelago, and disappears entirely during the <span class="hlt">Arctic</span> summer. In summer, opening of large areas of the <span class="hlt">Arctic</span> Ocean to the wind and surface waves leads to the <span class="hlt">Arctic</span> pack ice cover evolving into the Marginal Ice Zone (MIZ). In winter, <span class="hlt">sea</span> ice persists until the 2030s; then it sharply declines and disappears from the Central <span class="hlt">Arctic</span> Ocean by the end of the 21st century, with MIZ provinces remaining in winter along the Siberian, Alaskan coasts and in the Canadian <span class="hlt">Arctic</span> Archipelago. Analysis of the AO circulation reveals evidence of (i) the reversal of the <span class="hlt">Arctic</span> boundary currents in the Canadian Basin, from a weak cyclonic current in 2040-2049 to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.C41B0700O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.C41B0700O"><span>Light Absorption in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice - Black Carbon vs Chlorophyll</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ogunro, O. O.; Wingenter, O. W.; Elliott, S.; Hunke, E. C.; Flanner, M.; Wang, H.; Dubey, M. K.; Jeffery, N.</p> <p>2015-12-01</p> <p>The fingerprint of climate change is more obvious in the <span class="hlt">Arctic</span> than any other place on Earth. This is not only because the surface temperature there has increased at twice the rate of global mean temperature but also because <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent has reached a record low of 49% reduction relative to the 1979-2000 climatology. Radiation absorption through black carbon (BC) deposited on <span class="hlt">Arctic</span> snow and <span class="hlt">sea</span> ice surface is one of the major hypothesized contributors to the decline. However, we note that chlorophyll-a absorption owing to increasing biology activity in this region could be a major competitor during boreal spring. Modeling of <span class="hlt">sea</span>-ice physical and biological processes together with experiments and field observations promise rapid progress in the quality of <span class="hlt">Arctic</span> ice predictions. Here we develop a dynamic ice system module to investigate discrete absorption of both BC and chlorophyll in the <span class="hlt">Arctic</span>, using BC deposition fields from version 5 of Community Atmosphere Model (CAM5) and vertically distributed layers of chlorophyll concentrations from <span class="hlt">Sea</span> Ice Model (CICE). To this point, our black carbon mixing ratios compare well with available in situ data. Both results are in the same order of magnitude. Estimates from our calculations show that <span class="hlt">sea</span> ice and snow around the Canadian <span class="hlt">Arctic</span> Archipelago and Baffin Bay has the least black carbon absorption while values at the ice-ocean perimeter in the region of the Barents <span class="hlt">Sea</span> peak significantly. With regard to pigment concentrations, high amounts of chlorophyll are produced in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice by the bottom microbial community, and also within the columnar pack wherever substantial biological activity takes place in the presence of moderate light. We show that the percentage of photons absorbed by chlorophyll in the spring is comparable to the amount attributed to BC, especially in areas where the total deposition rates are decreasing with time on interannual timescale. We expect a continuous increase in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24555308','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24555308"><span>Does <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice reduction foster shelf-basin exchange?</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ivanov, Vladimir; Watanabe, Eiji</p> <p>2013-12-01</p> <p>The recent shift in <span class="hlt">Arctic</span> ice conditions from prevailing multi-year ice to first-year ice will presumably intensify fall-winter <span class="hlt">sea</span> ice freezing and the associated salt flux to the underlying water column. Here, we conduct a dual modeling study whose results suggest that the predicted catastrophic consequences for the global thermohaline circulation (THC), as a result of the disappearance of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, may not necessarily occur. In a warmer climate, the substantial fraction of dense water feeding the Greenland-Scotland overflow may form on <span class="hlt">Arctic</span> shelves and cascade to the deep basin, thus replenishing dense water, which currently forms through open ocean convection in the sub-<span class="hlt">Arctic</span> <span class="hlt">seas</span>. We have used a simplified model for estimating how increased ice production influences shelf-basin exchange associated with dense water cascading. We have carried out case studies in two regions of the <span class="hlt">Arctic</span> Ocean where cascading was observed in the past. The baseline range of buoyancy-forcing derived from the columnar ice formation was calculated as part of a 30-year experiment of the pan-<span class="hlt">Arctic</span> coupled ice-ocean general circulation model (GCM). The GCM results indicate that mechanical <span class="hlt">sea</span> ice divergence associated with lateral advection accounts for a significant part of the interannual variations in <span class="hlt">sea</span> ice thermal production in the coastal polynya regions. This forcing was then rectified by taking into account sub-grid processes and used in a regional model with analytically prescribed bottom topography and vertical stratification in order to examine specific cascading conditions in the Pacific and Atlantic sectors of the <span class="hlt">Arctic</span> Ocean. Our results demonstrate that the consequences of enhanced ice formation depend on geographical location and shelf-basin bathymetry. In the Pacific sector, strong density stratification in slope waters impedes noticeable deepening of shelf-origin water, even for the strongest forcing applied. In the Atlantic sector, a 1.5x increase of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JASS...33..305L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JASS...33..305L"><span>Abnormal Winter Melting of the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cap Observed by the Spaceborne Passive Microwave Sensors</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, Seongsuk; Yi, Yu</p> <p>2016-12-01</p> <p>The spatial size and variation of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice play an important role in Earth’s climate system. These are affected by conditions in the polar atmosphere and <span class="hlt">Arctic</span> <span class="hlt">sea</span> temperatures. The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice concentration is calculated from brightness temperature data derived from the Defense Meteorological Satellite program (DMSP) F13 Special Sensor Microwave/Imagers (SSMI) and the DMSP F17 Special Sensor Microwave Imager/Sounder (SSMIS) sensors. Many previous studies point to significant reductions in <span class="hlt">sea</span> ice and their causes. We investigated the variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using the daily <span class="hlt">sea</span> ice concentration data from passive microwave observations to identify the <span class="hlt">sea</span> ice melting regions near the <span class="hlt">Arctic</span> polar ice cap. We discovered the abnormal melting of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice near the North Pole during the summer and the winter. This phenomenon is hard to explain only surface air temperature or solar heating as suggested by recent studies. We propose a hypothesis explaining this phenomenon. The heat from the deep <span class="hlt">sea</span> in <span class="hlt">Arctic</span> Ocean ridges and/ or the hydrothermal vents might be contributing to the melting of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. This hypothesis could be verified by the observation of warm water column structure below the melting or thinning <span class="hlt">arctic</span> <span class="hlt">sea</span> ice through the project such as Coriolis dataset for reanalysis (CORA).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017DSRI..128...82J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017DSRI..128...82J"><span><span class="hlt">Arctic</span> Intermediate Water in the Nordic <span class="hlt">Seas</span>, 1991-2009</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jeansson, Emil; Olsen, Are; Jutterström, Sara</p> <p>2017-10-01</p> <p>The evolution of the different types of <span class="hlt">Arctic</span> Intermediate Water (AIW) in the Nordic <span class="hlt">Seas</span> is evaluated and compared utilising hydro-chemical data from 1991 to 2009. It has been suggested that these waters are important components of the Norwegian <span class="hlt">Sea</span> <span class="hlt">Arctic</span> Intermediate Water (NSAIW), and of the dense overflows to the North Atlantic. Thus, it is important to understand how their properties and distribution vary with time. The AIWs from the Greenland and Iceland <span class="hlt">Seas</span>, show different degrees of variability during the studied period; however, only the Greenland <span class="hlt">Sea</span> <span class="hlt">Arctic</span> Intermediate Water (GSAIW) shows an increasing temperature and salinity throughout the 2000s, which considerably changed the properties of this water mass. Optimum multiparameter (OMP) analysis was conducted to assess the sources of the NSAIW. The analysis shows that the Iceland <span class="hlt">Sea</span> <span class="hlt">Arctic</span> Intermediate Water (ISAIW) and the GSAIW both contribute to NSAIW, at different densities corresponding to their respective density range. This illustrates that they flow largely isopycnally from their source regions to the Norwegian <span class="hlt">Sea</span>. The main source of the NSAIW, however, is the upper Polar Deep Water, which explains the lower concentrations of oxygen and chlorofluorocarbons, and higher salinity and nutrient concentrations of the NSAIW layer compared with the ISAIW and GSAIW. This shows how vital it is to include chemical tracers in any water mass analysis to correctly assess the sources of the water mass being studied.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26553610','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26553610"><span>Methane excess in <span class="hlt">Arctic</span> surface water-triggered by <span class="hlt">sea</span> ice formation and melting.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Damm, E; Rudels, B; Schauer, U; Mau, S; Dieckmann, G</p> <p>2015-11-10</p> <p><span class="hlt">Arctic</span> amplification of global warming has led to increased summer <span class="hlt">sea</span> ice retreat, which influences gas exchange between the <span class="hlt">Arctic</span> Ocean and the atmosphere where <span class="hlt">sea</span> ice previously acted as a physical barrier. Indeed, recently observed enhanced atmospheric methane concentrations in <span class="hlt">Arctic</span> regions with fractional <span class="hlt">sea</span>-ice cover point to unexpected feedbacks in cycling of methane. We report on methane excess in <span class="hlt">sea</span> ice-influenced water masses in the interior <span class="hlt">Arctic</span> Ocean and provide evidence that <span class="hlt">sea</span> ice is a potential source. We show that methane release from <span class="hlt">sea</span> ice into the ocean occurs via brine drainage during freezing and melting i.e. in winter and spring. In summer under a fractional <span class="hlt">sea</span> ice cover, reduced turbulence restricts gas transfer, then seawater acts as buffer in which methane remains entrained. However, in autumn and winter surface convection initiates pronounced efflux of methane from the ice covered ocean to the atmosphere. Our results demonstrate that <span class="hlt">sea</span> ice-sourced methane cycles seasonally between <span class="hlt">sea</span> ice, <span class="hlt">sea</span>-ice-influenced seawater and the atmosphere, while the deeper ocean remains decoupled. Freshening due to summer <span class="hlt">sea</span> ice retreat will enhance this decoupling, which restricts the capacity of the deeper <span class="hlt">Arctic</span> Ocean to act as a sink for this greenhouse gas.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28851908','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28851908"><span><span class="hlt">Arctic</span> Ocean <span class="hlt">sea</span> ice cover during the penultimate glacial and the last interglacial.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Stein, Ruediger; Fahl, Kirsten; Gierz, Paul; Niessen, Frank; Lohmann, Gerrit</p> <p>2017-08-29</p> <p>Coinciding with global warming, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has rapidly decreased during the last four decades and climate scenarios suggest that <span class="hlt">sea</span> ice may completely disappear during summer within the next about 50-100 years. Here we produce <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice biomarker proxy records for the penultimate glacial (Marine Isotope Stage 6) and the subsequent last interglacial (Marine Isotope Stage 5e). The latter is a time interval when the high latitudes were significantly warmer than today. We document that even under such warmer climate conditions, <span class="hlt">sea</span> ice existed in the central <span class="hlt">Arctic</span> Ocean during summer, whereas <span class="hlt">sea</span> ice was significantly reduced along the Barents <span class="hlt">Sea</span> continental margin influenced by Atlantic Water inflow. Our proxy reconstruction of the last interglacial <span class="hlt">sea</span> ice cover is supported by climate simulations, although some proxy data/model inconsistencies still exist. During late Marine Isotope Stage 6, polynya-type conditions occurred off the major ice sheets along the northern Barents and East Siberian continental margins, contradicting a giant Marine Isotope Stage 6 ice shelf that covered the entire <span class="hlt">Arctic</span> Ocean.Coinciding with global warming, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has rapidly decreased during the last four decades. Here, using biomarker records, the authors show that permanent <span class="hlt">sea</span> ice was still present in the central <span class="hlt">Arctic</span> Ocean during the last interglacial, when high latitudes were warmer than present.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/14586466','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/14586466"><span>High interannual variability of <span class="hlt">sea</span> ice thickness in the <span class="hlt">Arctic</span> region.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Laxon, Seymour; Peacock, Neil; Smith, Doug</p> <p>2003-10-30</p> <p>Possible future changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover and thickness, and consequent changes in the ice-albedo feedback, represent one of the largest uncertainties in the prediction of future temperature rise. Knowledge of the natural variability of <span class="hlt">sea</span> ice thickness is therefore critical for its representation in global climate models. Numerical simulations suggest that <span class="hlt">Arctic</span> ice thickness varies primarily on decadal timescales owing to changes in wind and ocean stresses on the ice, but observations have been unable to provide a synoptic view of <span class="hlt">sea</span> ice thickness, which is required to validate the model results. Here we use an eight-year time-series of <span class="hlt">Arctic</span> ice thickness, derived from satellite altimeter measurements of ice freeboard, to determine the mean thickness field and its variability from 65 degrees N to 81.5 degrees N. Our data reveal a high-frequency interannual variability in mean <span class="hlt">Arctic</span> ice thickness that is dominated by changes in the amount of summer melt, rather than by changes in circulation. Our results suggest that a continued increase in melt season length would lead to further thinning of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC53E0936K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC53E0936K"><span>Toward Sub-seasonal to Seasonal <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Forecasting Using the Regional <span class="hlt">Arctic</span> System Model (RASM)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kamal, S.; Maslowski, W.; Roberts, A.; Osinski, R.; Cassano, J. J.; Seefeldt, M. W.</p> <p>2017-12-01</p> <p>The Regional <span class="hlt">Arctic</span> system model has been developed and used to advance the current state of <span class="hlt">Arctic</span> modeling and increase the skill of <span class="hlt">sea</span> ice forecast. RASM is a fully coupled, limited-area model that includes the atmosphere, ocean, <span class="hlt">sea</span> ice, land hydrology and runoff routing components and the flux coupler to exchange information among them. Boundary conditions are derived from NCEP Climate Forecasting System Reanalyses (CFSR) or Era Iterim (ERA-I) for hindcast simulations or from NCEP Coupled Forecast System Model version 2 (CFSv2) for seasonal forecasts. We have used RASM to produce <span class="hlt">sea</span> ice forecasts for September 2016 and 2017, in contribution to the <span class="hlt">Sea</span> Ice Outlook (SIO) of the <span class="hlt">Sea</span> Ice Prediction Network (SIPN). Each year, we produced three SIOs for the September minimum, initialized on June 1, July 1 and August 1. In 2016, predictions used a simple linear regression model to correct for systematic biases and included the mean September <span class="hlt">sea</span> ice extent, the daily minimum and the week of the minimum. In 2017, we produced a 12-member ensemble on June 1 and July 1, and 28-member ensemble August 1. The predictions of September 2017 included the pan-<span class="hlt">Arctic</span> and regional Alaskan <span class="hlt">sea</span> ice extent, daily and monthly mean pan-<span class="hlt">Arctic</span> maps of <span class="hlt">sea</span> ice probability, concentration and thickness. No bias correction was applied to the 2017 forecasts. Finally, we will also discuss future plans for RASM forecasts, which include increased resolution for model components, ecosystem predictions with marine biogeochemistry extensions (mBGC) to the ocean and <span class="hlt">sea</span> ice components, and feasibility of optional boundary conditions using the Navy Global Environmental Model (NAVGEM).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.4991J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.4991J"><span><span class="hlt">Arctic</span> Ocean Freshwater Content and Its Decadal Memory of <span class="hlt">Sea</span>-Level Pressure</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Johnson, Helen L.; Cornish, Sam B.; Kostov, Yavor; Beer, Emma; Lique, Camille</p> <p>2018-05-01</p> <p><span class="hlt">Arctic</span> freshwater content (FWC) has increased significantly over the last two decades, with potential future implications for the Atlantic meridional overturning circulation downstream. We investigate the relationship between <span class="hlt">Arctic</span> FWC and atmospheric circulation in the control run of a coupled climate model. Multiple linear lagged regression is used to extract the response of total <span class="hlt">Arctic</span> FWC to a hypothetical step increase in the principal components of <span class="hlt">sea</span>-level pressure. The results demonstrate that the FWC adjusts on a decadal timescale, consistent with the idea that wind-driven ocean dynamics and eddies determine the response of <span class="hlt">Arctic</span> Ocean circulation and properties to a change in surface forcing, as suggested by idealized models and theory. Convolving the response of FWC to a change in <span class="hlt">sea</span>-level pressure with historical <span class="hlt">sea</span>-level pressure variations reveals that the recent observed increase in <span class="hlt">Arctic</span> FWC is related to natural variations in <span class="hlt">sea</span>-level pressure.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA18034.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA18034.html"><span>Warm Rivers Play Role in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-03-05</p> <p>Beaufort <span class="hlt">Sea</span> surface temperatures where Canada Mackenzie River discharges into the <span class="hlt">Arctic</span> Ocean, measured by NASA MODIS instrument; warm river waters had broken through a shoreline <span class="hlt">sea</span> ice barrier to enhance <span class="hlt">sea</span> ice melt.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li class="active"><span>9</span></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_9 --> <div id="page_10" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="181"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C21G1186T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C21G1186T"><span>There goes the <span class="hlt">sea</span> ice: following <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice parcels and their properties.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tschudi, M. A.; Tooth, M.; Meier, W.; Stewart, S.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice distribution has changed considerably over the last couple of decades. <span class="hlt">Sea</span> ice extent record minimums have been observed in recent years, the distribution of ice age now heavily favors younger ice, and <span class="hlt">sea</span> ice is likely thinning. This new state of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has several impacts, including effects on marine life, feedback on the warming of the ocean and atmosphere, and on the future evolution of the ice pack. The shift in the state of the ice cover, from a pack dominated by older ice, to the current state of a pack with mostly young ice, impacts specific properties of the ice pack, and consequently the pack's response to the changing <span class="hlt">Arctic</span> climate. For example, younger ice typically contains more numerous melt ponds during the melt season, resulting in a lower albedo. First-year ice is typically thinner and more fragile than multi-year ice, making it more susceptible to dynamic and thermodynamic forcing. To investigate the response of the ice pack to climate forcing during summertime melt, we have developed a database that tracks individual <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice parcels along with associated properties as these parcels advect during the summer. Our database tracks parcels in the Beaufort <span class="hlt">Sea</span>, from 1985 - present, along with variables such as ice surface temperature, albedo, ice concentration, and convergence. We are using this database to deduce how these thousands of tracked parcels fare during summer melt, i.e. what fraction of the parcels advect through the Beaufort, and what fraction melts out? The tracked variables describe the thermodynamic and dynamic forcing on these parcels during their journey. This database will also be made available to all interested investigators, after it is published in the near future. The attached image shows the ice surface temperature of all parcels (right) that advected through the Beaufort <span class="hlt">Sea</span> region (left) in 2014.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMGC32B..02P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMGC32B..02P"><span>Contrasting Trends in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span> Ice Coverage Since the Late 1970s</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Parkinson, C. L.</p> <p>2016-12-01</p> <p>Satellite observations have allowed a near-continuous record of <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice coverage since late 1978. This record has revealed considerable interannual variability in both polar regions but also significant long-term trends, with the <span class="hlt">Arctic</span> losing, the Antarctic gaining, and the Earth as a whole losing <span class="hlt">sea</span> ice coverage. Over the period 1979-2015, the trend in yearly average <span class="hlt">sea</span> ice extents in the <span class="hlt">Arctic</span> is -53,100 km2/yr (-4.3 %/decade) and in the Antarctic is 23,800 km2/yr (2.1 %/decade). For all 12 months, trends are negative in the <span class="hlt">Arctic</span> and positive in the Antarctic, with the highest magnitude monthly trend being for September in the <span class="hlt">Arctic</span>, at -85,300 km2/yr (-10.9 %/decade). The decreases in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extents have been so dominant that not a single month since 1986 registered a new monthly record high, whereas 75 months registered new monthly record lows between 1987 and 2015 and several additional record lows were registered in 2016. The Antarctic <span class="hlt">sea</span> ice record highs and lows are also out of balance, in the opposite direction, although not in such dramatic fashion. Geographic details on the changing ice covers, down to the level of individual pixels, can be seen by examining changes in the length of the <span class="hlt">sea</span> ice season. Results reveal (and quantify) shortening ice seasons throughout the bulk of the <span class="hlt">Arctic</span> marginal ice zone, the main exception being within the Bering <span class="hlt">Sea</span>, and lengthening <span class="hlt">sea</span> ice seasons through much of the Southern Ocean but shortening seasons in the Bellingshausen <span class="hlt">Sea</span>, southern Amundsen <span class="hlt">Sea</span>, and northwestern Weddell <span class="hlt">Sea</span>. The decreasing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice coverage was widely anticipated and fits well with a large array of environmental changes in the <span class="hlt">Arctic</span>, whereas the increasing Antarctic <span class="hlt">sea</span> ice coverage was not widely anticipated and explaining it remains an area of active research by many scientists exploring a variety of potential explanations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010ECSS...89...97M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010ECSS...89...97M"><span>High <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice conditions influence marine birds wintering in Low <span class="hlt">Arctic</span> regions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McFarlane Tranquilla, Laura; Hedd, April; Burke, Chantelle; Montevecchi, William A.; Regular, Paul M.; Robertson, Gregory J.; Stapleton, Leslie Ann; Wilhelm, Sabina I.; Fifield, David A.; Buren, Alejandro D.</p> <p>2010-09-01</p> <p>Ocean climate change is having profound biological effects in polar regions. Such change can also have far-reaching downstream effects in sub-polar regions. This study documents an environmental relationship between High <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice changes and mortality events of marine birds in Low <span class="hlt">Arctic</span> coastal regions. During April 2007 and March 2009, hundreds of beached seabird carcasses and moribund seabirds were found along the east and northeast coasts of Newfoundland, Canada. These seabird "wrecks" (i.e. dead birds on beaches) coincided with a period of strong, persistent onshore winds and heavily-accumulated <span class="hlt">sea</span> ice that blocked bays and trapped seabirds near beaches. Ninety-two percent of wreck seabirds were Thick-billed Murres ( Uria lomvia). Body condition and demographic patterns of wreck murres were compared to Thick-billed Murres shot in the Newfoundland murre hunt. Average body and pectoral masses of wreck carcasses were 34% and 40% lighter (respectively) than shot murres, indicating that wreck birds had starved. The acute nature of each wreck suggested that starvation and associated hypothermia occurred within 2-3 days. In 2007, first-winter murres (77%) dominated the wreck. In 2009, there were more adults (78%), mostly females (66%). These results suggest that spatial and temporal segregation in ages and sexes can play a role in differential survival when stochastic weather conditions affect discrete areas where these groups aggregate. In wreck years, southward movement of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice to Low <span class="hlt">Arctic</span> latitudes was later and blocked bays longer than in most other years. These inshore conditions corresponded with recent climate-driven changes in High <span class="hlt">Arctic</span> ice break-up and ice extent; coupled with local weather conditions, these ice conditions appeared to be the key environmental features that precipitated the ice-associated seabird wrecks in the Low <span class="hlt">Arctic</span> region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMPA13A0223V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMPA13A0223V"><span>New Tools for <span class="hlt">Sea</span> Ice Data Analysis and Visualization: NSIDC's <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice News and Analysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Vizcarra, N.; Stroeve, J.; Beam, K.; Beitler, J.; Brandt, M.; Kovarik, J.; Savoie, M. H.; Skaug, M.; Stafford, T.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has long been recognized as a sensitive climate indicator and has undergone a dramatic decline over the past thirty years. Antarctic <span class="hlt">sea</span> ice continues to be an intriguing and active field of research. The National Snow and Ice Data Center's <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice News & Analysis (ASINA) offers researchers and the public a transparent view of <span class="hlt">sea</span> ice data and analysis. We have released a new set of tools for <span class="hlt">sea</span> ice analysis and visualization. In addition to Charctic, our interactive <span class="hlt">sea</span> ice extent graph, the new <span class="hlt">Sea</span> Ice Data and Analysis Tools page provides access to <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice data organized in seven different data workbooks, updated daily or monthly. An interactive tool lets scientists, or the public, quickly compare changes in ice extent and location. Another tool allows users to map trends, anomalies, and means for user-defined time periods. Animations of September <span class="hlt">Arctic</span> and Antarctic monthly average <span class="hlt">sea</span> ice extent and concentration may also be accessed from this page. Our tools help the NSIDC scientists monitor and understand <span class="hlt">sea</span> ice conditions in near real time. They also allow the public to easily interact with and explore <span class="hlt">sea</span> ice data. Technical innovations in our data center helped NSIDC quickly build these tools and more easily maintain them. The tools were made publicly accessible to meet the desire from the public and members of the media to access the numbers and calculations that power our visualizations and analysis. This poster explores these tools and how other researchers, the media, and the general public are using them.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017NatCC...7..604S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017NatCC...7..604S"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice decline weakens the Atlantic Meridional Overturning Circulation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sévellec, Florian; Fedorov, Alexey V.; Liu, Wei</p> <p>2017-08-01</p> <p>The ongoing decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice exposes the ocean to anomalous surface heat and freshwater fluxes, resulting in positive buoyancy anomalies that can affect ocean circulation. In this study, we use an optimal flux perturbation framework and comprehensive climate model simulations to estimate the sensitivity of the Atlantic Meridional Overturning Circulation (AMOC) to such buoyancy forcing over the <span class="hlt">Arctic</span> and globally, and more generally to <span class="hlt">sea</span>-ice decline. It is found that on decadal timescales, flux anomalies over the subpolar North Atlantic have the largest impact on the AMOC, while on multi-decadal timescales (longer than 20 years), flux anomalies in the <span class="hlt">Arctic</span> become more important. These positive buoyancy anomalies spread to the North Atlantic, weakening the AMOC and its poleward heat transport. Therefore, the <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice decline may explain the suggested slow-down of the AMOC and the `Warming Hole’ persisting in the subpolar North Atlantic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22715789','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22715789"><span>[Spectral features analysis of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> Ocean].</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ke, Chang-qing; Xie, Hong-jie; Lei, Rui-bo; Li, Qun; Sun, Bo</p> <p>2012-04-01</p> <p><span class="hlt">Sea</span> ice in the <span class="hlt">Arctic</span> Ocean plays an important role in the global climate change, and its quick change and impact are the scientists' focus all over the world. The spectra of different kinds of <span class="hlt">sea</span> ice were measured with portable ASD FieldSpec 3 spectrometer during the long-term ice station of the 4th Chinese national <span class="hlt">Arctic</span> Expedition in 2010, and the spectral features were analyzed systematically. The results indicated that the reflectance of <span class="hlt">sea</span> ice covered by snow is the highest one, naked <span class="hlt">sea</span> ice the second, and melted <span class="hlt">sea</span> ice the lowest. Peak and valley characteristics of spectrum curves of <span class="hlt">sea</span> ice covered by thick snow, thin snow, wet snow and snow crystal are very significant, and the reflectance basically decreases with the wavelength increasing. The rules of reflectance change with wavelength of natural <span class="hlt">sea</span> ice, white ice and blue ice are basically same, the reflectance of them is medium, and that of grey ice is far lower than natural <span class="hlt">sea</span> ice, white ice and blue ice. It is very significant for scientific research to analyze the spectral features of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> Ocean and to implement the quantitative remote sensing of <span class="hlt">sea</span> ice, and to further analyze its response to the global warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.C43E0592P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.C43E0592P"><span>The Last <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Refuge</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pfirman, S. L.; Tremblay, B.; Newton, R.; Fowler, C.</p> <p>2010-12-01</p> <p>Summer <span class="hlt">sea</span> ice may persist along the northern flank of Canada and Greenland for decades longer than the rest of the <span class="hlt">Arctic</span>, raising the possibility of a naturally formed refugium for ice-associated species. Observations and models indicate that some ice in this region forms locally, while some is transported to the area by winds and ocean currents. Depending on future changes in melt patterns and <span class="hlt">sea</span> ice transport rates, both the central <span class="hlt">Arctic</span> and Siberian shelf <span class="hlt">seas</span> may be sources of ice to the region. An international system of monitoring and management of the <span class="hlt">sea</span> ice refuge, along with the ice source regions, has the potential to maintain viable habitat for ice-associated species, including polar bears, for decades into the future. Issues to consider in developing a strategy include: + the likely duration and extent of summer <span class="hlt">sea</span> ice in this region based on observations, models and paleoenvironmental information + the extent and characteristics of the “ice shed” contributing <span class="hlt">sea</span> ice to the refuge, including its dynamics, physical and biological characteristics as well as potential for contamination from local or long-range sources + likely assemblages of ice-associated species and their habitats + potential stressors such as transportation, tourism, resource extraction, contamination + policy, governance, and development issues including management strategies that could maintain the viability of the refuge.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeoRL..44.4953B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeoRL..44.4953B"><span>Skillful regional prediction of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice on seasonal timescales</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bushuk, Mitchell; Msadek, Rym; Winton, Michael; Vecchi, Gabriel A.; Gudgel, Rich; Rosati, Anthony; Yang, Xiaosong</p> <p>2017-05-01</p> <p>Recent <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice seasonal prediction efforts and forecast skill assessments have primarily focused on pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent (SIE). In this work, we move toward stakeholder-relevant spatial scales, investigating the regional forecast skill of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in a Geophysical Fluid Dynamics Laboratory (GFDL) seasonal prediction system. Using a suite of retrospective initialized forecasts spanning 1981-2015 made with a coupled atmosphere-ocean-<span class="hlt">sea</span> ice-land model, we show that predictions of detrended regional SIE are skillful at lead times up to 11 months. Regional prediction skill is highly region and target month dependent and generically exceeds the skill of an anomaly persistence forecast. We show for the first time that initializing the ocean subsurface in a seasonal prediction system can yield significant regional skill for winter SIE. Similarly, as suggested by previous work, we find that <span class="hlt">sea</span> ice thickness initial conditions provide a crucial source of skill for regional summer SIE.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010EGUGA..12.7656J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010EGUGA..12.7656J"><span><span class="hlt">Sea</span>-level Fingerprinting, Vertical Crustal Motion from GIA, and Projections of Relative <span class="hlt">Sea</span>-level Change in the Canadian <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>James, Thomas; Simon, Karen; Forbes, Donald; Dyke, Arthur; Mazzotti, Stephane</p> <p>2010-05-01</p> <p>We present projections of relative <span class="hlt">sea</span>-level rise in the 21st century for communities in the Canadian <span class="hlt">Arctic</span>. First, for selected communities, we determine the <span class="hlt">sea</span>-level fingerprinting response from Antarctica, Greenland, and mountain glaciers and ice caps. Then, for various published projections of global <span class="hlt">sea</span>-level change in the 21st century, we determine the local amount of "absolute" <span class="hlt">sea</span>-level change. We next determine the vertical land motion arising from glacial isostatic adjustment (GIA) and incorporate this into the estimates of absolute <span class="hlt">sea</span>-level change to obtain projections of relative <span class="hlt">sea</span>-level change. The <span class="hlt">sea</span>-level fingerprinting effect is especially important in the Canadian <span class="hlt">Arctic</span> owing to proximity to <span class="hlt">Arctic</span> ice caps and especially to the Greenland ice sheet. Its effect is to reduce the range of projected relative <span class="hlt">sea</span>-level change compared to the range of global <span class="hlt">sea</span>-level projections. Vertical crustal motion is assessed through empirically derived regional isobases, the Earth's predicted response to ice-sheet loading and unloading by the ICE-5G ice sheet reconstruction, and Global Positioning System vertical velocities. Owing to the large rates of crustal uplift from glacial isostatic adjustment across a large region of central <span class="hlt">Arctic</span> Canada, many communities are projected to experience relative <span class="hlt">sea</span>-level fall despite projections of global <span class="hlt">sea</span>-level rise. Where uplift rates are smaller, such as eastern Baffin Island and the western Canadian <span class="hlt">Arctic</span>, <span class="hlt">sea</span>-level is projected to rise.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.1963N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.1963N"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice in a 1.5°C Warmer World</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Niederdrenk, Anne Laura; Notz, Dirk</p> <p>2018-02-01</p> <p>We examine the seasonal cycle of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in scenarios with limited future global warming. To do so, we analyze two sets of observational records that cover the observational uncertainty of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss per degree of global warming. The observations are combined with 100 simulations of historical and future climate evolution from the Max Planck Institute Earth System Model Grand Ensemble. Based on the high-sensitivity observations, we find that <span class="hlt">Arctic</span> September <span class="hlt">sea</span> ice is lost with low probability (P≈ 10%) for global warming of +1.5°C above preindustrial levels and with very high probability (P> 99%) for global warming of +2°C above preindustrial levels. For the low-sensitivity observations, September <span class="hlt">sea</span> ice is extremely unlikely to disappear for +1.5°C warming (P≪ 1%) and has low likelihood (P≈ 10%) to disappear even for +2°C global warming. For March, both observational records suggest a loss of 15% to 20% of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice area for 1.5°C to 2°C global warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3948279','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3948279"><span>Observational determination of albedo decrease caused by vanishing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Pistone, Kristina; Eisenman, Ian; Ramanathan, V.</p> <p>2014-01-01</p> <p>The decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has been documented in over 30 y of satellite passive microwave observations. The resulting darkening of the <span class="hlt">Arctic</span> and its amplification of global warming was hypothesized almost 50 y ago but has yet to be verified with direct observations. This study uses satellite radiation budget measurements along with satellite microwave <span class="hlt">sea</span> ice data to document the <span class="hlt">Arctic</span>-wide decrease in planetary albedo and its amplifying effect on the warming. The analysis reveals a striking relationship between planetary albedo and <span class="hlt">sea</span> ice cover, quantities inferred from two independent satellite instruments. We find that the <span class="hlt">Arctic</span> planetary albedo has decreased from 0.52 to 0.48 between 1979 and 2011, corresponding to an additional 6.4 ± 0.9 W/m2 of solar energy input into the <span class="hlt">Arctic</span> Ocean region since 1979. Averaged over the globe, this albedo decrease corresponds to a forcing that is 25% as large as that due to the change in CO2 during this period, considerably larger than expectations from models and other less direct recent estimates. Changes in cloudiness appear to play a negligible role in observed <span class="hlt">Arctic</span> darkening, thus reducing the possibility of <span class="hlt">Arctic</span> cloud albedo feedbacks mitigating future <span class="hlt">Arctic</span> warming. PMID:24550469</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24550469','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24550469"><span>Observational determination of albedo decrease caused by vanishing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Pistone, Kristina; Eisenman, Ian; Ramanathan, V</p> <p>2014-03-04</p> <p>The decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has been documented in over 30 y of satellite passive microwave observations. The resulting darkening of the <span class="hlt">Arctic</span> and its amplification of global warming was hypothesized almost 50 y ago but has yet to be verified with direct observations. This study uses satellite radiation budget measurements along with satellite microwave <span class="hlt">sea</span> ice data to document the <span class="hlt">Arctic</span>-wide decrease in planetary albedo and its amplifying effect on the warming. The analysis reveals a striking relationship between planetary albedo and <span class="hlt">sea</span> ice cover, quantities inferred from two independent satellite instruments. We find that the <span class="hlt">Arctic</span> planetary albedo has decreased from 0.52 to 0.48 between 1979 and 2011, corresponding to an additional 6.4 ± 0.9 W/m(2) of solar energy input into the <span class="hlt">Arctic</span> Ocean region since 1979. Averaged over the globe, this albedo decrease corresponds to a forcing that is 25% as large as that due to the change in CO2 during this period, considerably larger than expectations from models and other less direct recent estimates. Changes in cloudiness appear to play a negligible role in observed <span class="hlt">Arctic</span> darkening, thus reducing the possibility of <span class="hlt">Arctic</span> cloud albedo feedbacks mitigating future <span class="hlt">Arctic</span> warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GeoRL..43.9720M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GeoRL..43.9720M"><span><span class="hlt">Sea</span> ice decline and 21st century trans-<span class="hlt">Arctic</span> shipping routes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Melia, N.; Haines, K.; Hawkins, E.</p> <p>2016-09-01</p> <p>The observed decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is projected to continue, opening shorter trade routes across the <span class="hlt">Arctic</span> Ocean, with potentially global economic implications. Here we quantify, using Coupled Model Intercomparison Project Phase 5 global climate model simulations calibrated to remove spatial biases, how projected <span class="hlt">sea</span> ice loss might increase opportunities for <span class="hlt">Arctic</span> transit shipping. By midcentury for standard open water vessels, the frequency of navigable periods doubles, with routes across the central <span class="hlt">Arctic</span> becoming available. A <span class="hlt">sea</span> ice-ship speed relationship is used to show that European routes to Asia typically become 10 days faster via the <span class="hlt">Arctic</span> than alternatives by midcentury, and 13 days faster by late century, while North American routes become 4 days faster. Future greenhouse gas emissions have a larger impact by late century; the shipping season reaching 4-8 months in Representative Concentration Pathway (RCP)8.5 double that of RCP2.6, both with substantial interannual variability. Moderately, ice-strengthened vessels likely enable <span class="hlt">Arctic</span> transits for 10-12 months by late century.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012GeoRL..39.8502N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012GeoRL..39.8502N"><span>Observations reveal external driver for <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice retreat</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Notz, Dirk; Marotzke, Jochem</p> <p>2012-04-01</p> <p>The very low summer extent of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice that has been observed in recent years is often casually interpreted as an early-warning sign of anthropogenic global warming. For examining the validity of this claim, previously IPCC model simulations have been used. Here, we focus on the available observational record to examine if this record allows us to identify either internal variability, self-acceleration, or a specific external forcing as the main driver for the observed <span class="hlt">sea</span>-ice retreat. We find that the available observations are sufficient to virtually exclude internal variability and self-acceleration as an explanation for the observed long-term trend, clustering, and magnitude of recent <span class="hlt">sea</span>-ice minima. Instead, the recent retreat is well described by the superposition of an externally forced linear trend and internal variability. For the externally forced trend, we find a physically plausible strong correlation only with increasing atmospheric CO2 concentration. Our results hence show that the observed evolution of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent is consistent with the claim that virtually certainly the impact of an anthropogenic climate change is observable in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice already today.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.3673D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.3673D"><span>Growing Land-<span class="hlt">Sea</span> Temperature Contrast and the Intensification of <span class="hlt">Arctic</span> Cyclones</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Day, Jonathan J.; Hodges, Kevin I.</p> <p>2018-04-01</p> <p>Cyclones play an important role in the coupled dynamics of the <span class="hlt">Arctic</span> climate system on a range of time scales. Modeling studies suggest that storminess will increase in <span class="hlt">Arctic</span> summer due to enhanced land-<span class="hlt">sea</span> thermal contrast along the <span class="hlt">Arctic</span> coastline, in a region known as the <span class="hlt">Arctic</span> Frontal Zone (AFZ). However, the climate models used in these studies are poor at reproducing the present-day <span class="hlt">Arctic</span> summer cyclone climatology and so their projections of <span class="hlt">Arctic</span> cyclones and related quantities, such as <span class="hlt">sea</span> ice, may not be reliable. In this study we perform composite analysis of <span class="hlt">Arctic</span> cyclone statistics using AFZ variability as an analog for climate change. High AFZ years are characterized both by increased cyclone frequency and dynamical intensity, compared to low years. Importantly, the size of the response in this analog suggests that General Circulation Models may underestimate the response of <span class="hlt">Arctic</span> cyclones to climate change, given a similar change in baroclinicity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11D..03S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11D..03S"><span>The Impact of Stratospheric Circulation Extremes on Minimum <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Extent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Smith, K. L.; Polvani, L. M.; Tremblay, B.</p> <p>2017-12-01</p> <p>The interannual variability of summertime <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent (SIE) is anti-correlated with the leading mode of extratropical atmospheric variability in preceding winter, the <span class="hlt">Arctic</span> Oscillation (AO). Given this relationship and the need for better seasonal predictions of <span class="hlt">Arctic</span> SIE, we here examine the role of stratospheric circulation extremes and stratosphere-troposphere coupling in linking the AO and <span class="hlt">Arctic</span> SIE variability. We show that extremes in the stratospheric circulation during the winter season, namely stratospheric sudden warming (SSW) and strong polar vortex (SPV) events, are associated with significant anomalies in <span class="hlt">sea</span> ice concentration in the Bering Straight and the <span class="hlt">Sea</span> of Okhotsk in winter, the Barents <span class="hlt">Sea</span> in spring and along the Eurasian coastline in summer in both observations and a fully-coupled, stratosphere-resolving general circulation model. The accompanying figure shows the composite mean <span class="hlt">sea</span> ice concentration anomalies from the Whole Atmosphere Community Climate Model (WACCM) for SSWs (N = 126, top row) and SPVs (N = 99, bottom row) for winter (a,d), spring (b,e) and summer (c,f). Consistent with previous work on the AO, we find that SSWs, which are followed by the negative phase of the AO at the surface, result in <span class="hlt">sea</span> ice growth, whereas SPVs, which are followed by the positive phase of the AO at the surface, result in <span class="hlt">sea</span> ice loss, although the dynamic and thermodynamic processes driving these <span class="hlt">sea</span> ice anomalies in the three <span class="hlt">Arctic</span> regions, noted above, are different. Our analysis suggests that the presence or absence of stratospheric circulation extremes in winter may play a non-trivial role in determining total September <span class="hlt">Arctic</span> SIE when combined with other factors.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC43J..08M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC43J..08M"><span>Increased Surface Wind Speeds Follow Diminishing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mioduszewski, J.; Vavrus, S. J.; Wang, M.; Holland, M. M.; Landrum, L.</p> <p>2017-12-01</p> <p>Projections of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice through the end of the 21st century indicate the likelihood of a strong reduction in ice area and thickness in all seasons, leading to a substantial thermodynamic influence on the overlying atmosphere. This is likely to have an effect on winds over the <span class="hlt">Arctic</span> Basin, due to changes in atmospheric stability and/or baroclinicity. Prior research on future <span class="hlt">Arctic</span> wind changes is limited and has focused mainly on the practical impacts on wave heights in certain seasons. Here we attempt to identify patterns and likely mechanisms responsible for surface wind changes in all seasons across the <span class="hlt">Arctic</span>, particularly those associated with <span class="hlt">sea</span> ice loss in the marginal ice zone. <span class="hlt">Sea</span> level pressure, near-surface (10 m) and upper-air (850 hPa) wind speeds, and lower-level dynamic and thermodynamic variables from the Community Earth System Model Large Ensemble Project (CESM-LE) were analyzed for the periods 1971-2000 and 2071-2100 to facilitate comparison between a present-day and future climate. Mean near-surface wind speeds over the <span class="hlt">Arctic</span> Ocean are projected to increase by late century in all seasons but especially during autumn and winter, when they strengthen by up to 50% locally. The most extreme wind speeds in the 90th percentile change even more, increasing in frequency by over 100%. The strengthened winds are closely linked to decreasing lower-tropospheric stability resulting from the loss of <span class="hlt">sea</span> ice cover and consequent surface warming (locally over 20 ºC warmer in autumn and winter). A muted pattern of these future changes is simulated in CESM-LE historical runs from 1920-2005. The enhanced winds near the surface are mostly collocated with weaker winds above the boundary layer during autumn and winter, implying more vigorous vertical mixing and a drawdown of high-momentum air.The implications of stronger future winds include increased coastal hazards and the potential for a positive feedback with <span class="hlt">sea</span> ice by generating higher winds and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950052583&hterms=low+emissivity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dlow%2Bemissivity','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950052583&hterms=low+emissivity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dlow%2Bemissivity"><span>Springtime microwave emissivity changes in the southern <span class="hlt">Kara</span> <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Crane, Robert G.; Anderson, Mark R.</p> <p>1994-01-01</p> <p>Springtime microwave brightness temperatures over first-year ice are examined for the southern <span class="hlt">Kara</span> <span class="hlt">Sea</span>. Snow emissivity changes are revealed by episodic drops in the 37- to 18-GHz brightness temperature gradient ratio measured by the Nimbus 7 scanning multichannel microwave radiometer. We suggest that the negative gradient ratios in spring 1982 result from increased scatter at 37 GHz due to the formation of a near-surface hoar layer. This interpretation is supported by the results of a surface radiation balance model that shows the melt signature occurring at below freezing temperatures but under clear-sky conditions with increased solar input to the surface. Published observations from the Greenland ice cap show a surface hoar layer forming under similar atmospheric conditions owing to the increased penetration and absorption of solar radiation just below the surface layer. In spring/early summer 1984 similar gradient ratio signatures occur. They appear to be due to several days of freeze-thaw cycling following the movement of a low-pressure system through the region. These changes in surface emissivity represent the transition from winter to summer conditions (as defined by the microwave response) and are shown to be regional in extent and to vary with the synoptic circulations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Remote+AND+sensing&pg=6&id=EJ335095','ERIC'); return false;" href="https://eric.ed.gov/?q=Remote+AND+sensing&pg=6&id=EJ335095"><span>Remote Sensing of the <span class="hlt">Arctic</span> <span class="hlt">Seas</span>.</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Weeks, W. F.; And Others</p> <p>1986-01-01</p> <p>Examines remote sensing of the <span class="hlt">arctic</span> <span class="hlt">seas</span> by discussing: (1) passive microwave sensors; (2) active microwave sensors; (3) other types of sensors; (4) the future deployment of sensors; (5) data buoys; and (6) future endeavors. (JN)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5343504','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5343504"><span>The missing Northern European winter cooling response to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Screen, James A.</p> <p>2017-01-01</p> <p>Reductions in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice may promote the negative phase of the North Atlantic Oscillation (NAO−). It has been argued that NAO-related variability can be used an as analogue to predict the effects of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss on mid-latitude weather. As NAO− events are associated with colder winters over Northern Europe, a negatively shifted NAO has been proposed as a dynamical pathway for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss to cause Northern European cooling. This study uses large-ensemble atmospheric simulations with prescribed ocean surface conditions to examine how seasonal-scale NAO− events are affected by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss. Despite an intensification of NAO− events, reflected by more prevalent easterly flow, <span class="hlt">sea</span> ice loss does not lead to Northern European winter cooling and daily cold extremes actually decrease. The dynamical cooling from the changed NAO is ‘missing', because it is offset (or exceeded) by a thermodynamical effect owing to advection of warmer air masses. PMID:28262679</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_10 --> <div id="page_11" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="201"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C21A0658Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C21A0658Z"><span>Changes in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Thickness and Floe Size</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, J.; Schweiger, A. J. B.; Stern, H. L., III; Steele, M.</p> <p>2016-12-01</p> <p>A thickness, floe size, and enthalpy distribution <span class="hlt">sea</span> ice model was implemented into the Pan-<span class="hlt">arctic</span> Ice-Ocean Modeling and Assimilation System (PIOMAS) by coupling the Zhang et al. [2015] <span class="hlt">sea</span> ice floe size distribution (FSD) theory with the Thorndike et al. [1975] ice thickness distribution (ITD) theory in order to explicitly simulate multicategory FSD and ITD simultaneously. A range of ice thickness and floe size observations were used for model calibration and validation. The expanded, validated PIOMAS was used to study <span class="hlt">sea</span> ice response to atmospheric and oceanic changes in the <span class="hlt">Arctic</span>, focusing on the interannual variability and trends of ice thickness and floe size over the period 1979-2015. It is found that over the study period both ice thickness and floe size have been decreasing steadily in the <span class="hlt">Arctic</span>. The simulated ice thickness shows considerable spatiotemporal variability in recent years. As the ice cover becomes thinner and weaker, the model simulates an increasing number of small floes (at the low end of the FSD), which affects <span class="hlt">sea</span> ice properties, particularly in the marginal ice zone.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C51A0955L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C51A0955L"><span><span class="hlt">Sea</span> ice roughness: the key for predicting <span class="hlt">Arctic</span> summer ice albedo</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Landy, J.; Ehn, J. K.; Tsamados, M.; Stroeve, J.; Barber, D. G.</p> <p>2017-12-01</p> <p>Although melt ponds on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice evolve in stages, ice with smoother surface topography typically allows the pond water to spread over a wider area, reducing the ice-albedo and accelerating further melt. Building on this theory, we simulated the distribution of meltwater on a range of statistically-derived topographies to develop a quantitative relationship between premelt <span class="hlt">sea</span> ice surface roughness and summer ice albedo. Our method, previously applied to ICESat observations of the end-of-winter <span class="hlt">sea</span> ice roughness, could account for 85% of the variance in AVHRR observations of the summer ice-albedo [Landy et al., 2015]. Consequently, an <span class="hlt">Arctic</span>-wide reduction in <span class="hlt">sea</span> ice roughness over the ICESat operational period (from 2003 to 2008) explained a drop in ice-albedo that resulted in a 16% increase in solar heat input to the <span class="hlt">sea</span> ice cover. Here we will review this work and present new research linking pre-melt <span class="hlt">sea</span> ice surface roughness observations from Cryosat-2 to summer <span class="hlt">sea</span> ice albedo over the past six years, examining the potential of winter roughness as a significant new source of <span class="hlt">sea</span> ice predictability. We will further evaluate the possibility for high-resolution (kilometre-scale) forecasts of summer <span class="hlt">sea</span> ice albedo from waveform-level Cryosat-2 roughness data in the landfast <span class="hlt">sea</span> ice zone of the Canadian <span class="hlt">Arctic</span>. Landy, J. C., J. K. Ehn, and D. G. Barber (2015), Albedo feedback enhanced by smoother <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, Geophys. Res. Lett., 42, 10,714-10,720, doi:10.1002/2015GL066712.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EOSTr..90R.169P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EOSTr..90R.169P"><span>Developing and Implementing Protocols for <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Perovich, Donald K.; Gerland, Sebastian</p> <p>2009-05-01</p> <p><span class="hlt">Arctic</span> Surface-Based <span class="hlt">Sea</span> Ice Observations: Integrated Protocols and Coordinated Data Acquisition; Tromsø, Norway, 26-27 January 2009; The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is diminishing. Over the past several years, not only has ice thinned but the extent of ice at the end of summer, and hence perennial ice, has declined markedly. These changes affect a wide range of issues and are important for a varied group of stakeholders, including <span class="hlt">Arctic</span> coastal communities, policy makers, industry, the scientific community, and the public. Concerns range from the role of <span class="hlt">sea</span> ice cover as an indicator and amplifier of climate change to marine transportation, resource extraction, and coastal erosion. To understand and respond to these ongoing changes, it is imperative to develop and implement consistent and robust observational protocols that can be used to describe the current state of the ice cover as well as future changes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C54A..04T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C54A..04T"><span>Trends in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Volume 2010-2013 from CryoSat-2</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tilling, R.; Ridout, A.; Wingham, D.; Shepherd, A.; Haas, C.; Farrell, S. L.; Schweiger, A. J.; Zhang, J.; Giles, K.; Laxon, S.</p> <p>2013-12-01</p> <p>Satellite records show a decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent over the past three decades with a record minimum in September 2012, and results from the Pan-<span class="hlt">Arctic</span> Ice-Ocean Modelling and Assimilation System (PIOMAS) suggest that this has been accompanied by a reduction in volume. We use three years of measurements recorded by the European Space Agency CryoSat-2 (CS-2) mission, validated with in situ data, to generate estimates of seasonal variations and inter-annual trends in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice volume between 2010 and 2013. The CS-2 estimates of <span class="hlt">sea</span> ice thickness agree with in situ estimates derived from upward looking sonar measurements of ice draught and airborne measurements of ice thickness and freeboard to within 0.1 metres. Prior to the record minimum in summer 2012, autumn and winter <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice volume had fallen by ~1300 km3 relative to the previous year. Using the full 3-year period of CS-2 observations, we estimate that winter <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice volume has decreased by ~700 km3/yr since 2010, approximately twice the average rate since 1980 as predicted by the PIOMAS.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C21A0650P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C21A0650P"><span><span class="hlt">Sea</span> Ice Summer Camp: Bringing Together <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Modelers and Observers</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Perovich, D. K.; Holland, M. M.</p> <p>2016-12-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has undergone dramatic change and numerical models project this to continue for the foreseeable future. Understanding the mechanisms behind <span class="hlt">sea</span> ice loss and its consequences for the larger <span class="hlt">Arctic</span> and global systems is of critical importance if we are to anticipate and plan for the future. One impediment to progress is a disconnect between the observational and modeling communities. A <span class="hlt">sea</span> ice summer camp was held in Barrow Alaska from 26 May to 1 June 2016 to overcome this impediment and better integrate the <span class="hlt">sea</span> ice community. The 25 participants were a mix of modelers and observers from 13 different institutions at career stages from graduate student to senior scientist. The summer camp provided an accelerated program on <span class="hlt">sea</span> ice observations and models and also fostered future collaborative interdisciplinary activities. Each morning was spent in the classroom with a daily lecture on an aspect of modeling or remote sensing followed by practical exercises. Topics included using models to assess sensitivity, to test hypotheses and to explore sources of uncertainty in future <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss. The afternoons were spent on the ice making observations. There were four observational activities; albedo observations, ice thickness measurements, ice coring and physical properties, and ice morphology surveys. The last field day consisted of a grand challenge where the group formulated a hypothesis, developed an observational and modeling strategy to test the hypothesis, and then integrated the observations and model results. The impacts of changing <span class="hlt">sea</span> ice are being felt today in Barrow Alaska. We opened a dialog with Barrow community members to further understand these changes. This included an evening discussion with two Barrow <span class="hlt">sea</span> ice experts and a community presentation of our work in a public lecture at the Inupiat Heritage Center.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA601522','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA601522"><span>Multiscale Models of Melting <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2013-09-30</p> <p>September 29, 2013 LONG-TERM GOALS <span class="hlt">Sea</span> ice reflectance or albedo , a key parameter in climate modeling, is primarily determined by melt pond...and ice floe configurations. Ice - albedo feedback has played a major role in the recent declines of the summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice pack. However...understanding the evolution of melt ponds and <span class="hlt">sea</span> ice albedo remains a significant challenge to improving climate models. Our research is focused on</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001845.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001845.html"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p>On July 12, 2011, crew from the U.S. Coast Guard Cutter Healy retrieved a canister dropped by parachute from a C-130, which brought supplies for some mid-mission fixes. The ICESCAPE mission, or "Impacts of Climate on Ecosystems and Chemistry of the <span class="hlt">Arctic</span> Pacific Environment," is NASA's two-year shipborne investigation to study how changing conditions in the <span class="hlt">Arctic</span> affect the ocean's chemistry and ecosystems. The bulk of the research takes place in the Beaufort and Chukchi <span class="hlt">seas</span> in summer 2010 and 2011. Credit: NASA/Kathryn Hansen For updates on the five-week ICESCAPE voyage, visit the mission blog at: go.usa.gov/WwU NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C43A0737F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C43A0737F"><span>Force balance and deformation characteristics of anisotropic <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice (a high resolution study)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Feltham, D. L.; Heorton, H. D.; Tsamados, M.</p> <p>2016-12-01</p> <p>The spatial distribution of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice arises from its deformation, driven by external momentum forcing, thermodynamic growth and melt. The deformation of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is observed to have structural alignment on a broad range of length scales. By considering the alignment of diamond-shaped <span class="hlt">sea</span> ice floes, an anisotropic rheology (known as the Elastic Anisotropic Plastic, EAP, rheology) has been developed for use in a climate <span class="hlt">sea</span> ice model. Here we present investigations into the role of anisotropy in determining the internal ice stress gradient and the complete force balance of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using a state-of-the-art climate <span class="hlt">sea</span> ice model. Our investigations are focused on the link between external imposed dynamical forcing, predominantly the wind stress, and the emergent properties of <span class="hlt">sea</span> ice, including its drift speed and thickness distribution. We analyse the characteristics of deformation events for different <span class="hlt">sea</span> ice states and anisotropic alignment over different regions of the <span class="hlt">Arctic</span> Ocean. We present the full seasonal stress balance and <span class="hlt">sea</span> ice state over the <span class="hlt">Arctic</span> ocean. We have performed 10 km basin-scale simulations over a 30-year time scale, and 2 km and 500 m resolution simulations in an idealised configuration. The anisotropic EAP <span class="hlt">sea</span> ice rheology gives higher shear stresses than the more customary isotropic EVP rheology, and these reduce ice drift speed and mechanical thickening, particularly important in the Archipelago. In the central <span class="hlt">Arctic</span> the circulation of <span class="hlt">sea</span> ice is reduced allowing it to grow thicker thermodynamically. The emergent stress-strain rate correlations from the EAP model suggest that it is possible to characterise the internal ice stresses of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from observable basin-wide deformation and drift patterns.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004AGUFMOS41A0462G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004AGUFMOS41A0462G"><span>The Northern Bering <span class="hlt">Sea</span>: An <span class="hlt">Arctic</span> Ecosystem in Change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grebmeier, J. M.; Cooper, L. W.</p> <p>2004-12-01</p> <p><span class="hlt">Arctic</span> systems can be rich and diverse habitats for marine life in spite of the extreme cold environment. Benthic faunal populations and associated biogeochemical cycling processes are influenced by <span class="hlt">sea</span>-ice extent, seawater hydrography (nutrients, salinity, temperature, currents), and water column production. Benthic organisms on the <span class="hlt">Arctic</span> shelves and margins are long-term integrators of overlying water column processes. Because these organisms have adapted to living at cold extremes, it is reasonable to expect that these communities will be among the most susceptible to climate warming. Recent observations show that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in the North American <span class="hlt">Arctic</span> is melting and retreating northward earlier in the season and the timing of these events can have dramatic impacts on the biological system. Changes in overlying primary production, pelagic-benthic coupling, and benthic production and community structure can have cascading effects to higher trophic levels, particularly benthic feeders such as walruses, gray whales, and diving seaducks. Recent indicators of contemporary <span class="hlt">Arctic</span> change in the northern Bering <span class="hlt">Sea</span> include seawater warming and reduction in ice extent that coincide with our time-series studies of benthic clam population declines in the shallow northern Bering shelf in the 1990's. In addition, declines in benthic amphipod populations have also likely influenced the movement of feeding gray whales to areas north of Bering Strait during this same time period. Finally a potential consequence of seawater warming and reduced ice extent in the northern Bering <span class="hlt">Sea</span> could be the northward movement of bottom feeding fish currently in the southern Bering <span class="hlt">Sea</span> that prey on benthic fauna. This would increase the feeding pressure on the benthic prey base and enhance competition for this food source for benthic-feeding marine mammals and seabirds. This presentation will outline recent biological changes observed in the northern Bering <span class="hlt">Sea</span> ecosystem as documented in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C21C0703A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C21C0703A"><span>Trends in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Leads Detection</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ackerman, S. A.; Hoffman, J.; Liu, Y.; Key, J. R.</p> <p>2016-12-01</p> <p><span class="hlt">Sea</span> ice leads (fractures) play a critical role in the exchange of mass and energy between the ocean and atmosphere in the polar regions, particularly in the <span class="hlt">Arctic</span>. Leads result in warming water and accelerated melting because leads absorb more solar energy than the surrounding ice. In the autumn, winter, and spring leads impact the local atmospheric structure and cloud properties because of the large flux of heat and moisture into the atmosphere. Given the rapid thinning and loss of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the last few decades, changes in the distribution of leads can be expected in response. Leads are largely wind driven, so their distributions will also be affected by the changes in atmospheric circulation that have occurred. From a climate perspective, identifying trends in lead characteristics (width, orientation, and spatial distribution) will advance our understanding of both thermodynamic and mechanical processes. This study presents the spatial and temporal distributions of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice leads since 2002 using a new method to detect and characterize <span class="hlt">sea</span> ice leads with optical (visible, infrared) satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS). Using reflective and emissive channels, ice concentration is derived in cloud-free regions and used to create a mask of potential leads. An algorithm then uses a combination of image processing techniques to identify and characterizes leads. The results show interannual variability of leads positioning as well as parameters such as area, length, orientation and width.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/981847','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/981847"><span>Controls on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from first-year and multi-year survival rates</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Hunke, Jes</p> <p>2009-01-01</p> <p>The recent decrease in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has transpired with a significant loss of multi year ice. The transition to an <span class="hlt">Arctic</span> that is populated by thinner first year <span class="hlt">sea</span> ice has important implications for future trends in area and volume. Here we develop a reduced model for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice with which we investigate how the survivability of first year and multi year ice control the mean state, variability, and trends in ice area and volume.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1200907','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1200907"><span>Impacts of ocean albedo alteration on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice restoration and Northern Hemisphere climate</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Cvijanovic, Ivana; Caldeira, Ken; MacMartin, Douglas G.</p> <p></p> <p>The <span class="hlt">Arctic</span> Ocean is expected to transition into a seasonally ice-free state by mid-century, enhancing <span class="hlt">Arctic</span> warming and leading to substantial ecological and socio-economic challenges across the <span class="hlt">Arctic</span> region. It has been proposed that artificially increasing high latitude ocean albedo could restore <span class="hlt">sea</span> ice, but the climate impacts of such a strategy have not been previously explored. Motivated by this, we investigate the impacts of idealized high latitude ocean albedo changes on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice restoration and climate. In our simulated 4xCO₂ climate, imposing surface albedo alterations over the <span class="hlt">Arctic</span> Ocean leads to partial <span class="hlt">sea</span> ice recovery and a modestmore » reduction in <span class="hlt">Arctic</span> warming. With the most extreme ocean albedo changes, imposed over the area 70°–90°N, September <span class="hlt">sea</span> ice cover stabilizes at ~40% of its preindustrial value (compared to ~3% without imposed albedo modifications). This is accompanied by an annual mean <span class="hlt">Arctic</span> surface temperature decrease of ~2 °C but no substantial global mean temperature decrease. Imposed albedo changes and <span class="hlt">sea</span> ice recovery alter climate outside the <span class="hlt">Arctic</span> region too, affecting precipitation distribution over parts of the continental United States and Northeastern Pacific. For example, following <span class="hlt">sea</span> ice recovery, wetter and milder winter conditions are present in the Southwest United States while the East Coast experiences cooling. We conclude that although ocean albedo alteration could lead to some <span class="hlt">sea</span> ice recovery, it does not appear to be an effective way of offsetting the overall effects of CO₂ induced global warming.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1200907-impacts-ocean-albedo-alteration-arctic-sea-ice-restoration-northern-hemisphere-climate','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1200907-impacts-ocean-albedo-alteration-arctic-sea-ice-restoration-northern-hemisphere-climate"><span>Impacts of ocean albedo alteration on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice restoration and Northern Hemisphere climate</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Cvijanovic, Ivana; Caldeira, Ken; MacMartin, Douglas G.</p> <p>2015-04-01</p> <p>The <span class="hlt">Arctic</span> Ocean is expected to transition into a seasonally ice-free state by mid-century, enhancing <span class="hlt">Arctic</span> warming and leading to substantial ecological and socio-economic challenges across the <span class="hlt">Arctic</span> region. It has been proposed that artificially increasing high latitude ocean albedo could restore <span class="hlt">sea</span> ice, but the climate impacts of such a strategy have not been previously explored. Motivated by this, we investigate the impacts of idealized high latitude ocean albedo changes on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice restoration and climate. In our simulated 4xCO₂ climate, imposing surface albedo alterations over the <span class="hlt">Arctic</span> Ocean leads to partial <span class="hlt">sea</span> ice recovery and a modestmore » reduction in <span class="hlt">Arctic</span> warming. With the most extreme ocean albedo changes, imposed over the area 70°–90°N, September <span class="hlt">sea</span> ice cover stabilizes at ~40% of its preindustrial value (compared to ~3% without imposed albedo modifications). This is accompanied by an annual mean <span class="hlt">Arctic</span> surface temperature decrease of ~2 °C but no substantial global mean temperature decrease. Imposed albedo changes and <span class="hlt">sea</span> ice recovery alter climate outside the <span class="hlt">Arctic</span> region too, affecting precipitation distribution over parts of the continental United States and Northeastern Pacific. For example, following <span class="hlt">sea</span> ice recovery, wetter and milder winter conditions are present in the Southwest United States while the East Coast experiences cooling. We conclude that although ocean albedo alteration could lead to some <span class="hlt">sea</span> ice recovery, it does not appear to be an effective way of offsetting the overall effects of CO₂ induced global warming.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA18035.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA18035.html"><span>Warm Rivers Play Role in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt Animation</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-03-05</p> <p>This frame from a NASA MODIS animation depicts warming <span class="hlt">sea</span> surface temperatures in the <span class="hlt">Arctic</span> Beaufort <span class="hlt">Sea</span> after warm waters from Canada Mackenzie River broke through a shoreline <span class="hlt">sea</span> ice barrier in summer 2012, enhancing the melting of <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014GeoRL..41.1035T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014GeoRL..41.1035T"><span>Seasonal to interannual <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice predictability in current global climate models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tietsche, S.; Day, J. J.; Guemas, V.; Hurlin, W. J.; Keeley, S. P. E.; Matei, D.; Msadek, R.; Collins, M.; Hawkins, E.</p> <p>2014-02-01</p> <p>We establish the first intermodel comparison of seasonal to interannual predictability of present-day <span class="hlt">Arctic</span> climate by performing coordinated sets of idealized ensemble predictions with four state-of-the-art global climate models. For <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent and volume, there is potential predictive skill for lead times of up to 3 years, and potential prediction errors have similar growth rates and magnitudes across the models. Spatial patterns of potential prediction errors differ substantially between the models, but some features are robust. <span class="hlt">Sea</span> ice concentration errors are largest in the marginal ice zone, and in winter they are almost zero away from the ice edge. <span class="hlt">Sea</span> ice thickness errors are amplified along the coasts of the <span class="hlt">Arctic</span> Ocean, an effect that is dominated by <span class="hlt">sea</span> ice advection. These results give an upper bound on the ability of current global climate models to predict important aspects of <span class="hlt">Arctic</span> climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A44B..02Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A44B..02Y"><span><span class="hlt">Arctic</span> Storms and Their Influence on Surface Climate in the Chukchi-Beaufort <span class="hlt">Seas</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yang, Y.; Zhang, X.; Rinke, A.; Zhang, J.</p> <p>2017-12-01</p> <p>Increases in the frequency and intensity of <span class="hlt">Arctic</span> storms and resulting weather hazards may endanger the offshore environment, coastal community, and energy infrastructure in the <span class="hlt">Arctic</span> as <span class="hlt">sea</span> ice retreats. Advancing ability to identify fine-scale variations in surface climate produced by progressively stronger storm would be extremely helpful to resources management and sustainable development for coastal community. In this study, we analyzed the storms and their impacts on surface climate over the Beaufort-Chukchi <span class="hlt">seas</span> by employing the date sets from both the hindcast simulations of the coupled <span class="hlt">Arctic</span> regional climate model HIRHAM-NAOSIM and the recently developed Chukchi-Beaufort High-resolution Atmospheric Reanalysis (CBHAR). Based on the characteristics of spatial pattern and temporal variability of the <span class="hlt">Arctic</span> storm activity, we categorized storms to three groups with their different origins: the East Siberia <span class="hlt">Sea</span>, Alaska and the central <span class="hlt">Arctic</span> Ocean. The storms originating from the central <span class="hlt">Arctic</span> Ocean have the strongest intensity in winter with relatively less storm number. Storms traveling from Alaska to the Beaufort <span class="hlt">Sea</span> most frequently occurred in autumn with weaker intensity. A large portion of storms originated from the East Siberia <span class="hlt">Sea</span> region in summer. Further statistical analysis suggests that increase in surface air temperature and wind speed could be attributed to the increased frequency of storm occurrence in autumn (September to November) along the continental shelf in the Beaufort <span class="hlt">Sea</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C31A0622S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C31A0622S"><span>Probabilistic Forecasting of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Extent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Slater, A. G.</p> <p>2013-12-01</p> <p><span class="hlt">Sea</span> ice in the <span class="hlt">Arctic</span> is changing rapidly. Most noticeable has been the series of record, or near-record, annual minimums in <span class="hlt">sea</span> ice extent in the past six years. The changing regime of <span class="hlt">sea</span> ice has prompted much interest in seasonal prediction of <span class="hlt">sea</span> ice extent, particularly as opportunities for <span class="hlt">Arctic</span> shipping and resource exploration or extraction increase. This study presents a daily <span class="hlt">sea</span> ice extent probabilistic forecast method with a 50-day lead time. A base projection is made from historical data and near-real-time <span class="hlt">sea</span> ice concentration is assimilated on the issue date of the forecast. When considering the September mean ice extent for the period 1995-2012, the performance of the 50-day lead time forecast is very good: correlation=0.94, Bias = 0.14 ×106 km^2 and RMSE = 0.36 ×106 km^2. Forecasts for the daily minimum contains equal skill levels. The system is highly competitive with any of the SEARCH <span class="hlt">Sea</span> Ice Outlook estimates. The primary finding of this study is that large amounts of forecast skill can be gained from knowledge of the initial conditions of concentration (perhaps more than previously thought). Given the simplicity of the forecast model, improved skill should be available from system refinement and with suitable proxies for large scale atmosphere and ocean circulation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.5014K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.5014K"><span>An updated 26-year (1991-2017) <span class="hlt">sea</span> level record from the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kildegaard Rose, Stine; Baltazar Andersen, Ole; Passaro, Marcello; Benveniste, Jerome</p> <p>2017-04-01</p> <p>In recent years, there has been a large focus of the <span class="hlt">Arctic</span> due the rapid changes of the region. The <span class="hlt">sea</span> level of the <span class="hlt">Arctic</span> Ocean is an important climate indicator. The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is decreasing and has since 1997 experienced a steepening in the decrease. The <span class="hlt">Arctic</span> <span class="hlt">sea</span> level determination is challenging due to the seasonal to permanent <span class="hlt">sea</span> ice cover, the lack of regional coverage of satellites, the satellite instruments ability to measure ice, insufficient geophysical models, residual orbit errors, challenging retracking of satellite altimeter data. We present the DTU/TUM 26-year <span class="hlt">sea</span> level record based on satellite altimetry data in the <span class="hlt">Arctic</span> Ocean from the ERS1 (1991) to CryoSat-2 (present) satellites. The <span class="hlt">sea</span> level record is compared with several tide gauges and other available partial <span class="hlt">sea</span> level records contributing to the ESA CCI <span class="hlt">Sea</span> level initiative. We use updated geophysical corrections and a combination of altimeter data: REAPER (ERS1), ALES+ retracker (ERS2, Envisat), combined Rads and DTUs in-house retracker LARS (CryoSat-2). The ALES+ is an upgraded version of the Adaptive Leading Edge Subwaveform Retracker that has been developed to improve data quality and quantity in the coastal ocean, without degrading the results in the open ocean. ALES+ aims at retracking peaky waveforms typical of lead reflections without modifying the fitting model used in the open ocean.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29067638','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29067638"><span>Climate change, future <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice, and the competitiveness of European <span class="hlt">Arctic</span> offshore oil and gas production on world markets.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Petrick, Sebastian; Riemann-Campe, Kathrin; Hoog, Sven; Growitsch, Christian; Schwind, Hannah; Gerdes, Rüdiger; Rehdanz, Katrin</p> <p>2017-12-01</p> <p>A significant share of the world's undiscovered oil and natural gas resources are assumed to lie under the seabed of the <span class="hlt">Arctic</span> Ocean. Up until now, the exploitation of the resources especially under the European <span class="hlt">Arctic</span> has largely been prevented by the challenges posed by <span class="hlt">sea</span> ice coverage, harsh weather conditions, darkness, remoteness of the fields, and lack of infrastructure. Gradual warming has, however, improved the accessibility of the <span class="hlt">Arctic</span> Ocean. We show for the most resource-abundant European <span class="hlt">Arctic</span> <span class="hlt">Seas</span> whether and how a climate induced reduction in <span class="hlt">sea</span> ice might impact future accessibility of offshore natural gas and crude oil resources. Based on this analysis we show for a number of illustrative but representative locations which technology options exist based on a cost-minimization assessment. We find that under current hydrocarbon prices, oil and gas from the European offshore <span class="hlt">Arctic</span> is not competitive on world markets.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43D2493M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43D2493M"><span>Remarkable separability of the circulation response to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and greenhouse gas forcing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McCusker, K. E.; Kushner, P. J.; Fyfe, J. C.; Sigmond, M.; Kharin, V. V.; Bitz, C. M.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss has an important effect on local climate through increases in ocean to atmosphere heat flux and associated feedbacks, and may influence midlatitude climate by changing large-scale circulation that can enhance or counter changes that are due to greenhouse gases. The extent to which climate change in a warming world can be understood as greenhouse gas-induced changes that are modulated by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss depends on how additive the responses to the separate influences are. Here we use a novel <span class="hlt">sea</span> ice nudging methodology in the Canadian Earth System Model, which has a fully coupled ocean, to isolate the effects of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and doubled atmospheric carbon dioxide (CO2) to determine their additivity and sensitivity to mean state. We find that the separate effects of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and doubled CO2 are remarkably additive and relatively insensitive to mean climate state. This separability is evident in several thermodynamic and dynamic fields throughout most of the year, from hemispheric to synoptic scales. The extent to which the regional response to <span class="hlt">sea</span> ice loss sometimes agrees with and sometimes cancels the response to CO2 is quantified. In this model, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss enhances the CO2-induced surface air temperature changes nearly everywhere and zonal wind changes over the Pacific sector, whereas <span class="hlt">sea</span> ice loss counters CO2-induced <span class="hlt">sea</span> level pressure changes nearly everywhere over land and zonal wind changes over the Atlantic sector. This separability of the response to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss from the response to CO2 doubling gives credence to the body of work in which <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss is isolated from the forcing that modified it, and might provide a means to better interpret the diverse array of modeling and observational studies of <span class="hlt">Arctic</span> change and influence.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_11 --> <div id="page_12" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="221"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23413190','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23413190"><span>Export of algal biomass from the melting <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Boetius, Antje; Albrecht, Sebastian; Bakker, Karel; Bienhold, Christina; Felden, Janine; Fernández-Méndez, Mar; Hendricks, Stefan; Katlein, Christian; Lalande, Catherine; Krumpen, Thomas; Nicolaus, Marcel; Peeken, Ilka; Rabe, Benjamin; Rogacheva, Antonina; Rybakova, Elena; Somavilla, Raquel; Wenzhöfer, Frank</p> <p>2013-03-22</p> <p>In the <span class="hlt">Arctic</span>, under-ice primary production is limited to summer months and is restricted not only by ice thickness and snow cover but also by the stratification of the water column, which constrains nutrient supply for algal growth. Research Vessel Polarstern visited the ice-covered eastern-central basins between 82° to 89°N and 30° to 130°E in summer 2012, when <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice declined to a record minimum. During this cruise, we observed a widespread deposition of ice algal biomass of on average 9 grams of carbon per square meter to the deep-<span class="hlt">sea</span> floor of the central <span class="hlt">Arctic</span> basins. Data from this cruise will contribute to assessing the effect of current climate change on <span class="hlt">Arctic</span> productivity, biodiversity, and ecological function.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003EAEJA.....1563J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003EAEJA.....1563J"><span>Hypsometry, volume and physiography of the <span class="hlt">Arctic</span> Ocean and their paleoceanographic implications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jakobsson, M.; Macnab, R.; Grantz, A.; Kristoffersen, Y.</p> <p>2003-04-01</p> <p>Recent analyses of the International Bathymetric Chart of the <span class="hlt">Arctic</span> Ocean (IBCAO) grid model include: Hypsometry (the distribution of surface area at various depths); ocean volume distribution; and physiographic provinces [Jakobsson 2002; Jakobsson et al., in press]. The present paper summarizes the main results from these recent studies and expands on the paleoceanographic implications for the <span class="hlt">Arctic</span> Ocean, which in this work is defined as the broad continental shelves of the Barents, <span class="hlt">Kara</span>, Laptev, East Siberian and Chukchi <span class="hlt">Seas</span>, the White <span class="hlt">Sea</span> and the narrow continental shelves of the Beaufort <span class="hlt">Sea</span>, the <span class="hlt">Arctic</span> continental margins off the Canadian <span class="hlt">Arctic</span> Archipelago and northern Greenland. This, the World's smallest ocean, is a virtually land-locked ocean that makes up merely 2.6 % of the area, and 1.0 % of the volume, of the entire World Ocean. The continental shelf area, from the coastline out to the shelf break, comprises as much as 52.9 % of the total area in the <span class="hlt">Arctic</span> Ocean, which is significantly larger in comparison to the rest of the world oceans where the proportion of shelves, from the coastline out to the foot of the continental slope, only ranges between about 9.1 % and 17.7 %. In Jakobsson [2002], the seafloor area and water volume were calculated for different depths starting from the present <span class="hlt">sea</span> level and progressing in increments of 10 m to a depth of 500 m, and in increments of 50 m from 550 m down to the deepest depth within each of the analyzed <span class="hlt">Arctic</span> Ocean <span class="hlt">seas</span>. Hypsometric curves expressed as simple histograms of the frequencies in different depth bins were presented, along with depth plotted against cumulative area for each of the analyzed <span class="hlt">seas</span>. The derived hypsometric curves show that most of the <span class="hlt">Arctic</span> Ocean shelf <span class="hlt">seas</span> besides the Barents <span class="hlt">Sea</span>, Beaufort <span class="hlt">Sea</span> and the shelf off northern Greenland have a similar shape with the largest seafloor area between 0 and 50 m. The East Siberian and Laptev <span class="hlt">seas</span>, in particular, show area distributions</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AdAtS..35....5S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AdAtS..35....5S"><span>Using NWP to assess the influence of the <span class="hlt">Arctic</span> atmosphere on midlatitude weather and climate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Semmler, Tido; Jung, Thomas; Kasper, Marta A.; Serrar, Soumia</p> <p>2018-01-01</p> <p>The influence of the <span class="hlt">Arctic</span> atmosphere on Northern Hemisphere midlatitude tropospheric weather and climate is explored by comparing the skill of two sets of 14-day weather forecast experiments using the ECMWF model with and without relaxation of the <span class="hlt">Arctic</span> atmosphere towards ERA-Interim reanalysis data during the integration. Two pathways are identified along which the <span class="hlt">Arctic</span> influences midlatitude weather: a pronounced one over Asia and Eastern Europe, and a secondary one over North America. In general, linkages are found to be strongest (weakest) during boreal winter (summer) when the amplitude of stationary planetary waves over the Northern Hemisphere is strongest (weakest). No discernible <span class="hlt">Arctic</span> impact is found over the North Atlantic and North Pacific region, which is consistent with predominantly southwesterly flow. An analysis of the flow-dependence of the linkages shows that anomalous northerly flow conditions increase the <span class="hlt">Arctic</span> influence on midlatitude weather over the continents. Specifically, an anomalous northerly flow from the <span class="hlt">Kara</span> <span class="hlt">Sea</span> towards West Asia leads to cold surface temperature anomalies not only over West Asia but also over Eastern and Central Europe. Finally, the results of this study are discussed in the light of potential midlatitude benefits of improved <span class="hlt">Arctic</span> prediction capabilities.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMPA31D..08N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMPA31D..08N"><span>Transnational <span class="hlt">Sea</span>-Ice Transport in a Warmer, More Mobile <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Newton, R.; Tremblay, B.; Pfirman, S. L.; DeRepentigny, P.</p> <p>2015-12-01</p> <p>As the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thins, summer ice continues to shrink in its area, and multi-year ice becomes rarer, winter ice is not disappearing from the <span class="hlt">Arctic</span> Basin. Rather, it is ever more dominated by first year ice. And each summer, as the total coverage withdraws, the first year ice is able travel faster and farther, carrying any ice-rafted material with it. Micro-organisms, sediments, pollutants and river runoff all move across the <span class="hlt">Arctic</span> each summer and are deposited hundreds of kilometers from their origins. Analyzing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice drift patterns in the context of the exclusive economic zones (EEZs) of the <span class="hlt">Arctic</span> nations raises concerns about the changing fate of "alien" ice which forms within one country's EEZ, then drifts and melts in another country's EEZ. We have developed a new data set from satellite-based ice-drift data that allows us to track groups of ice "pixels" forward from their origin to their destination, or backwards from their melting location to their point of formation. The software has been integrated with model output to extend the tracking of <span class="hlt">sea</span> ice to include climate projections. Results indicate, for example, that Russian <span class="hlt">sea</span> ice dominates "imports" to the EEZ of Norway, as expected, but with increasing ice mobility it is also is exported into the EEZs of other countries, including Canada and the United States. Regions of potential conflict are identified, including several national borders with extensive and/or changing transboundary <span class="hlt">sea</span> ice transport. These data are a starting point for discussion of transborder questions raised by "alien" ice and the material it may import from one nation's EEZ to another's.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A51G0147C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A51G0147C"><span>In situ observations of <span class="hlt">Arctic</span> cloud properties across the Beaufort <span class="hlt">Sea</span> marginal ice zone</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Corr, C.; Moore, R.; Winstead, E.; Thornhill, K. L., II; Crosbie, E.; Ziemba, L. D.; Beyersdorf, A. J.; Chen, G.; Martin, R.; Shook, M.; Corbett, J.; Smith, W. L., Jr.; Anderson, B. E.</p> <p>2016-12-01</p> <p>Clouds play an important role in <span class="hlt">Arctic</span> climate. This is particularly true over the <span class="hlt">Arctic</span> Ocean where feedbacks between clouds and <span class="hlt">sea</span>-ice impact the surface radiation budget through modifications of <span class="hlt">sea</span>-ice extent, ice thickness, cloud base height, and cloud cover. This work summarizes measurements of <span class="hlt">Arctic</span> cloud properties made aboard the NASA C-130 aircraft over the Beaufort <span class="hlt">Sea</span> during ARISE (<span class="hlt">Arctic</span> Radiation - IceBridge <span class="hlt">Sea</span>&Ice Experiment) in September 2014. The influence of surface-type on cloud properties is also investigated. Specifically, liquid water content (LWC), droplet concentrations, and droplet size distributions are compared for clouds sampled over three distinct regimes in the Beaufort <span class="hlt">Sea</span>: 1) open water, 2) the marginal ice zone, and 3) <span class="hlt">sea</span>-ice. Regardless of surface type, nearly all clouds intercepted during ARISE were liquid-phase clouds. However, differences in droplet size distributions and concentrations were evident for the surface types; clouds over the MIZ and <span class="hlt">sea</span>-ice generally had fewer and larger droplets compared to those over open water. The potential implication these results have for understanding cloud-surface albedo climate feedbacks in <span class="hlt">Arctic</span> are discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.C41A0425S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.C41A0425S"><span>Precipitation Impacts of a Shrinking <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cover</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stroeve, J. C.; Frei, A.; Gong, G.; Ghatak, D.; Robinson, D. A.; Kindig, D.</p> <p>2009-12-01</p> <p>Since the beginning of the modern satellite record in October 1978, the extent of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has declined in all months, with the strongest downward trend at the end of the melt season in September. Recently the September trends have accelerated. Through 2001, the extent of September <span class="hlt">sea</span> ice was decreasing at a rate of -7 per cent per decade. By 2006, the rate of decrease had risen to -8.9 per cent per decade. In September 2007, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent fell to its lowest level recorded, 23 per cent below the previous record set in 2005, boosting the downward trend to -10.7 per cent per decade. Ice extent in September 2008 was the second lowest in the satellite record. Including 2008, the trend in September <span class="hlt">sea</span> ice extent stands at -11.8 percent per decade. Compared to the 1970s, September ice extent has retreated by 40 per cent. Summer 2009 looks to repeat the anomalously low ice conditions that characterized the last couple of years. Scientists have long expected that a shrinking <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover will lead to strong warming of the overlying atmosphere, and as a result, affect atmospheric circulation and precipitation patterns. Recent results show clear evidence of <span class="hlt">Arctic</span> warming linked to declining ice extent, yet observational evidence for responses of atmospheric circulation and precipitation patterns is just beginning to emerge. Rising air temperatures should lead to an increase in the moisture holding capacity of the atmosphere, with the potential to impact autumn precipitation. Although climate models predict a hemispheric wide decrease in snow cover as atmospheric concentrations of GHGs increase, increased precipitation, particular in autumn and winter may result as the <span class="hlt">Arctic</span> transitions towards a seasonally ice free state. In this study we use atmospheric reanalysis data and a cyclone tracking algorithm to investigate the influence of recent extreme ice loss years on precipitation patterns in the <span class="hlt">Arctic</span> and the Northern Hemisphere. Results show</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC23D1174G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC23D1174G"><span>The Role of <span class="hlt">Sea</span> Ice for Vascular Plant Dispersal in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Geirsdottir, A.; Alsos, I. G.; Seidenkrantz, M. S.; Bennike, O.; Kirchhefer, A.; Ehrich, D.</p> <p>2015-12-01</p> <p>Plant species adapted to <span class="hlt">arctic</span> environments are expected to go extinct at their southern margins due to climate warming whereas they may find suitable habitats on <span class="hlt">arctic</span> islands if they are able to disperse there. Analyses of species distribution and phylogenetic data indicate both that the frequency of dispersal events is higher in the <span class="hlt">arctic</span> than in other regions, and that the dispersal routes often follow the routes of <span class="hlt">sea</span> surface currents. Thus, it has been hypothesised that <span class="hlt">sea</span> ice has played a central role in Holocene colonisation of <span class="hlt">arctic</span> islands. Here we compile data on the first Holocene occurrence of species in East Greenland, Iceland, the Faroe Islands, and Svalbard. We then combine these records with interpretations of dispersal routes inferred from genetic data and data on geographical distributions, reconstructions of Holocene <span class="hlt">sea</span> ice extent, and records of driftwood to evaluate the potential role <span class="hlt">sea</span> ice has played in past colonisation events.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015JGRC..120.7657L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015JGRC..120.7657L"><span>Optical properties of melting first-year <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Light, Bonnie; Perovich, Donald K.; Webster, Melinda A.; Polashenski, Christopher; Dadic, Ruzica</p> <p>2015-11-01</p> <p>The albedo and transmittance of melting, first-year <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice were measured during two cruises of the Impacts of Climate on the Eco-Systems and Chemistry of the <span class="hlt">Arctic</span> Pacific Environment (ICESCAPE) project during the summers of 2010 and 2011. Spectral measurements were made for both bare and ponded ice types at a total of 19 ice stations in the Chukchi and Beaufort <span class="hlt">Seas</span>. These data, along with irradiance profiles taken within boreholes, laboratory measurements of the optical properties of core samples, ice physical property observations, and radiative transfer model simulations are employed to describe representative optical properties for melting first-year <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. Ponded ice was found to transmit roughly 4.4 times more total energy into the ocean, relative to nearby bare ice. The ubiquitous surface-scattering layer and drained layer present on bare, melting <span class="hlt">sea</span> ice are responsible for its relatively high albedo and relatively low transmittance. Light transmittance through ponded ice depends on the physical thickness of the ice and the magnitude of the scattering coefficient in the ice interior. Bare ice reflects nearly three-quarters of the incident sunlight, enhancing its resiliency to absorption by solar insolation. In contrast, ponded ice absorbs or transmits to the ocean more than three-quarters of the incident sunlight. Characterization of the heat balance of a summertime ice cover is largely dictated by its pond coverage, and light transmittance through ponded ice shows strong contrast between first-year and multiyear <span class="hlt">Arctic</span> ice covers.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018NatGe..11..155S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018NatGe..11..155S"><span>Consistency and discrepancy in the atmospheric response to <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss across climate models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Screen, James A.; Deser, Clara; Smith, Doug M.; Zhang, Xiangdong; Blackport, Russell; Kushner, Paul J.; Oudar, Thomas; McCusker, Kelly E.; Sun, Lantao</p> <p>2018-03-01</p> <p>The decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is an integral part of anthropogenic climate change. <span class="hlt">Sea</span>-ice loss is already having a significant impact on <span class="hlt">Arctic</span> communities and ecosystems. Its role as a cause of climate changes outside of the <span class="hlt">Arctic</span> has also attracted much scientific interest. Evidence is mounting that <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss can affect weather and climate throughout the Northern Hemisphere. The remote impacts of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss can only be properly represented using models that simulate interactions among the ocean, <span class="hlt">sea</span> ice, land and atmosphere. A synthesis of six such experiments with different models shows consistent hemispheric-wide atmospheric warming, strongest in the mid-to-high-latitude lower troposphere; an intensification of the wintertime Aleutian Low and, in most cases, the Siberian High; a weakening of the Icelandic Low; and a reduction in strength and southward shift of the mid-latitude westerly winds in winter. The atmospheric circulation response seems to be sensitive to the magnitude and geographic pattern of <span class="hlt">sea</span>-ice loss and, in some cases, to the background climate state. However, it is unclear whether current-generation climate models respond too weakly to <span class="hlt">sea</span>-ice change. We advocate for coordinated experiments that use different models and observational constraints to quantify the climate response to <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013BGeo...10.4087B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013BGeo...10.4087B"><span>Increasing cloudiness in <span class="hlt">Arctic</span> damps the increase in phytoplankton primary production due to <span class="hlt">sea</span> ice receding</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bélanger, S.; Babin, M.; Tremblay, J.-É.</p> <p>2013-06-01</p> <p>The <span class="hlt">Arctic</span> Ocean and its marginal <span class="hlt">seas</span> are among the marine regions most affected by climate change. Here we present the results of a diagnostic model used to assess the primary production (PP) trends over the 1998-2010 period at pan-<span class="hlt">Arctic</span>, regional and local (i.e. 9.28 km resolution) scales. Photosynthetically active radiation (PAR) above and below the <span class="hlt">sea</span> surface was estimated using precomputed look-up tables of spectral irradiance, taking as input satellite-derived cloud optical thickness and cloud fraction parameters from the International Satellite Cloud Climatology Project (ISCCP) and <span class="hlt">sea</span> ice concentration from passive microwaves data. A spectrally resolved PP model, designed for optically complex waters, was then used to assess the PP trends at high spatial resolution. Results show that PP is rising at a rate of +2.8 TgC yr-1 (or +14% decade-1) in the circum-<span class="hlt">Arctic</span> and +5.1 TgC yr-1 when sub-<span class="hlt">Arctic</span> <span class="hlt">seas</span> are considered. In contrast, incident PAR above the <span class="hlt">sea</span> surface (PAR(0+)) has significantly decreased over the whole <span class="hlt">Arctic</span> and sub-<span class="hlt">Arctic</span> <span class="hlt">Seas</span>, except over the perennially <span class="hlt">sea</span>-ice covered waters of the Central <span class="hlt">Arctic</span> Ocean. This fading of PAR(0+) (-8% decade-1) was caused by increasing cloudiness during summer. Meanwhile, PAR penetrating the ocean (PAR(0-)) increased only along the <span class="hlt">sea</span> ice margin over the large <span class="hlt">Arctic</span> continental shelf where <span class="hlt">sea</span> ice concentration declined sharply since 1998. Overall, PAR(0-) slightly increased in the circum-<span class="hlt">Arctic</span> (+3.4% decade-1), while it decreased when considering both <span class="hlt">Arctic</span> and sub-<span class="hlt">Arctic</span> <span class="hlt">Seas</span> (-3% decade-1). We showed that rising phytoplankton biomass (i.e. chlorophyll a) normalized by the diffuse attenuation of photosynthetically usable radiation (PUR), accounted for a larger proportion of the rise in PP than did the increase in light availability due to <span class="hlt">sea</span>-ice loss in several sectors, and particularly in perennially and seasonally open waters. Against a general backdrop of rising productivity over <span class="hlt">Arctic</span> shelves</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMOS13H..02E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMOS13H..02E"><span><span class="hlt">Sea</span>-ice information co-management: Planning for sustainable multiple uses of ice-covered <span class="hlt">seas</span> in a rapidly changing <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Eicken, H.; Lovecraft, A. L.</p> <p>2012-12-01</p> <p>A thinner, less extensive and more mobile summer <span class="hlt">sea</span>-ice cover is a major element and driver of <span class="hlt">Arctic</span> Ocean change. Declining summer <span class="hlt">sea</span> ice presents <span class="hlt">Arctic</span> stakeholders with substantial challenges and opportunities from the perspective of sustainable ocean use and derivation of <span class="hlt">sea</span>-ice or ecosystem services. <span class="hlt">Sea</span>-ice use by people and wildlife as well as its role as a major environmental hazard focuses the interests and concerns of indigenous hunters and <span class="hlt">Arctic</span> coastal communities, resource managers and the maritime industry. In particular, rapid <span class="hlt">sea</span>-ice change and intensifying offshore industrial activities have raised fundamental questions as to how best to plan for and manage multiple and increasingly overlapping ocean and <span class="hlt">sea</span> ice uses. The western North American <span class="hlt">Arctic</span> - a region that has seen some of the greatest changes in ice and ocean conditions in the past three decades anywhere in the North - is the focus of our study. Specifically, we examine the important role that relevant and actionable <span class="hlt">sea</span>-ice information can play in allowing stakeholders to evaluate risks and reconcile overlapping and potentially competing interests. Our work in coastal Alaska suggests that important prerequisites to address such challenges are common values, complementary bodies of expertise (e.g., local or indigenous knowledge, engineering expertise, environmental science) and a forum for the implementation and evaluation of a <span class="hlt">sea</span>-ice data and information framework. Alongside the International Polar Year 2007-08 and an associated boost in <span class="hlt">Arctic</span> Ocean observation programs and platforms, there has been a movement towards new governance bodies that have these qualities and can play a central role in guiding the design and optimization of <span class="hlt">Arctic</span> observing systems. To help further the development of such forums an evaluation of the density and spatial distribution of institutions, i.e., rule sets that govern ocean use, as well as the use of scenario planning and analysis can serve as</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123..473M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123..473M"><span>Isolating the Liquid Cloud Response to Recent <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Variability Using Spaceborne Lidar Observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Morrison, A. L.; Kay, J. E.; Chepfer, H.; Guzman, R.; Yettella, V.</p> <p>2018-01-01</p> <p>While the radiative influence of clouds on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is known, the influence of <span class="hlt">sea</span> ice cover on <span class="hlt">Arctic</span> clouds is challenging to detect, separate from atmospheric circulation, and attribute to human activities. Providing observational constraints on the two-way relationship between <span class="hlt">sea</span> ice cover and <span class="hlt">Arctic</span> clouds is important for predicting the rate of future <span class="hlt">sea</span> ice loss. Here we use 8 years of CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) spaceborne lidar observations from 2008 to 2015 to analyze <span class="hlt">Arctic</span> cloud profiles over <span class="hlt">sea</span> ice and over open water. Using a novel surface mask to restrict our analysis to where <span class="hlt">sea</span> ice concentration varies, we isolate the influence of <span class="hlt">sea</span> ice cover on <span class="hlt">Arctic</span> Ocean clouds. The study focuses on clouds containing liquid water because liquid-containing clouds are the most important cloud type for radiative fluxes and therefore for <span class="hlt">sea</span> ice melt and growth. Summer is the only season with no observed cloud response to <span class="hlt">sea</span> ice cover variability: liquid cloud profiles are nearly identical over <span class="hlt">sea</span> ice and over open water. These results suggest that shortwave summer cloud feedbacks do not slow long-term summer <span class="hlt">sea</span> ice loss. In contrast, more liquid clouds are observed over open water than over <span class="hlt">sea</span> ice in the winter, spring, and fall in the 8 year mean and in each individual year. Observed fall <span class="hlt">sea</span> ice loss cannot be explained by natural variability alone, which suggests that observed increases in fall <span class="hlt">Arctic</span> cloud cover over newly open water are linked to human activities.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C33B1193M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C33B1193M"><span>Cloud Response to <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Loss and Implications for Feedbacks in the CESM1 Climate Model</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Morrison, A.; Kay, J. E.; Chepfer, H.; Guzman, R.; Bonazzola, M.</p> <p>2017-12-01</p> <p>Clouds have the potential to accelerate or slow the rate of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss through their radiative influence on the surface. Cloud feedbacks can therefore play into <span class="hlt">Arctic</span> warming as clouds respond to changes in <span class="hlt">sea</span> ice cover. As the <span class="hlt">Arctic</span> moves toward an ice-free state, understanding how cloud - <span class="hlt">sea</span> ice relationships change in response to <span class="hlt">sea</span> ice loss is critical for predicting the future climate trajectory. From satellite observations we know the effect of present-day <span class="hlt">sea</span> ice cover on clouds, but how will clouds respond to <span class="hlt">sea</span> ice loss as the <span class="hlt">Arctic</span> transitions to a seasonally open water state? In this study we use a lidar simulator to first evaluate cloud - <span class="hlt">sea</span> ice relationships in the Community Earth System Model (CESM1) against present-day observations (2006-2015). In the current climate, the cloud response to <span class="hlt">sea</span> ice is well-represented in CESM1: we see no summer cloud response to changes in <span class="hlt">sea</span> ice cover, but more fall clouds over open water than over <span class="hlt">sea</span> ice. Since CESM1 is credible for the current <span class="hlt">Arctic</span> climate, we next assess if our process-based understanding of <span class="hlt">Arctic</span> cloud feedbacks related to <span class="hlt">sea</span> ice loss is relevant for understanding future <span class="hlt">Arctic</span> clouds. In the future <span class="hlt">Arctic</span>, summer cloud structure continues to be insensitive to surface conditions. As the <span class="hlt">Arctic</span> warms in the fall, however, the boundary layer deepens and cloud fraction increases over open ocean during each consecutive decade from 2020 - 2100. This study will also explore seasonal changes in cloud properties such as opacity and liquid water path. Results thus far suggest that a positive fall cloud - <span class="hlt">sea</span> ice feedback exists in the present-day and future <span class="hlt">Arctic</span> climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C21G1188D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C21G1188D"><span>Estimation of Melt Ponds over <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice using MODIS Surface Reflectance Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ding, Y.; Cheng, X.; Liu, J.</p> <p>2017-12-01</p> <p>Melt ponds over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is one of the main factors affecting variability of surface albedo, increasing absorption of solar radiation and further melting of snow and ice. In recent years, a large number of melt ponds have been observed during the melt season in <span class="hlt">Arctic</span>. Moreover, some studies have suggested that late spring to mid summer melt ponds information promises to improve the prediction skill of seasonal <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice minimum. In the study, we extract the melt pond fraction over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice since 2000 using three bands MODIS weekly surface reflectance data by considering the difference of spectral reflectance in ponds, ice and open water. The preliminary comparison shows our derived <span class="hlt">Arctic</span>-wide melt ponds are in good agreement with that derived by the University of Hamburg, especially at the pond distribution. We analyze seasonal evolution, interannual variability and trend of the melt ponds, as well as the changes of onset and re-freezing. The melt pond fraction shows an asymmetrical growth and decay pattern. The observed melt ponds fraction is almost within 25% in early May and increases rapidly in June and July with a high fraction of more than 40% in the east of Greenland and Beaufort <span class="hlt">Sea</span>. A significant increasing trend in the melt pond fraction is observed for the period of 2000-2017. The relationship between melt pond fraction and <span class="hlt">sea</span> ice extent will be also discussed. Key Words: melt ponds, <span class="hlt">sea</span> ice, <span class="hlt">Arctic</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015GeoRL..42.8481G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015GeoRL..42.8481G"><span>Impact of aerosol emission controls on future <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gagné, M.-Ã..; Gillett, N. P.; Fyfe, J. C.</p> <p>2015-10-01</p> <p>We examine the response of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice to projected aerosol and aerosol precursor emission changes under the Representative Concentration Pathway (RCP) scenarios in simulations of the Canadian Earth System Model. The overall decrease in aerosol loading causes a warming, largest over the <span class="hlt">Arctic</span>, which leads to an annual mean reduction in <span class="hlt">sea</span> ice extent of approximately 1 million km2 over the 21st century in all RCP scenarios. This accounts for approximately 25% of the simulated reduction in <span class="hlt">sea</span> ice extent in RCP 4.5, and 40% of the reduction in RCP 2.5. In RCP 4.5, the <span class="hlt">Arctic</span> ocean is projected to become ice-free during summertime in 2045, but it does not become ice-free until 2057 in simulations with aerosol precursor emissions held fixed at 2000 values. Thus, while reductions in aerosol emissions have significant health and environmental benefits, their substantial contribution to projected <span class="hlt">Arctic</span> climate change should not be overlooked.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EaFut...2..315O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EaFut...2..315O"><span>Global warming releases microplastic legacy frozen in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Obbard, Rachel W.; Sadri, Saeed; Wong, Ying Qi; Khitun, Alexandra A.; Baker, Ian; Thompson, Richard C.</p> <p>2014-06-01</p> <p>When <span class="hlt">sea</span> ice forms it scavenges and concentrates particulates from the water column, which then become trapped until the ice melts. In recent years, melting has led to record lows in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice extent, the most recent in September 2012. Global climate models, such as that of Gregory et al. (2002), suggest that the decline in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice volume (3.4% per decade) will actually exceed the decline in <span class="hlt">sea</span> ice extent, something that Laxon et al. (2013) have shown supported by satellite data. The extent to which melting ice could release anthropogenic particulates back to the open ocean has not yet been examined. Here we show that <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice from remote locations contains concentrations of microplastics at least two orders of magnitude greater than those that have been previously reported in highly contaminated surface waters, such as those of the Pacific Gyre. Our findings indicate that microplastics have accumulated far from population centers and that polar <span class="hlt">sea</span> ice represents a major historic global sink of man-made particulates. The potential for substantial quantities of legacy microplastic contamination to be released to the ocean as the ice melts therefore needs to be evaluated, as do the physical and toxicological effects of plastics on marine life.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.7955K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.7955K"><span>Springtime atmospheric transport controls <span class="hlt">Arctic</span> summer <span class="hlt">sea</span>-ice extent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kapsch, Marie; Graversen, Rune; Tjernström, Michael</p> <p>2013-04-01</p> <p>The <span class="hlt">sea</span>-ice extent in the <span class="hlt">Arctic</span> has been steadily decreasing during the satellite remote sensing era, 1979 to present, with the highest rate of retreat found in September. Contributing factors causing the ice retreat are among others: changes in surface air temperature (SAT; Lindsay and Zhang, 2005), ice circulation in response to winds/pressure patterns (Overland et al., 2008) and ocean currents (Comiso et al., 2008), as well as changes in radiative fluxes (e.g. due to changes in cloud cover; Francis and Hunter, 2006; Maksimovich and Vihma, 2012) and ocean conditions. However, large interannual variability is superimposed onto the declining trend - the ice extent by the end of the summer varies by several million square kilometer between successive years (Serreze et al., 2007). But what are the processes causing the year-to-year ice variability? A comparison of years with an anomalously large September <span class="hlt">sea</span>-ice extent (HIYs - high ice years) with years showing an anomalously small ice extent (LIYs - low ice years) reveals that the ice variability is most pronounced in the <span class="hlt">Arctic</span> Ocean north of Siberia (which became almost entirely ice free in September of 2007 and 2012). Significant ice-concentration anomalies of up to 30% are observed for LIYs and HIYs in this area. Focusing on this area we find that the greenhouse effect associated with clouds and water-vapor in spring is crucial for the development of the <span class="hlt">sea</span> ice during the subsequent months. In years where the end-of-summer <span class="hlt">sea</span>-ice extent is well below normal, a significantly enhanced transport of humid air is evident during spring into the region where the ice retreat is encountered. The anomalous convergence of humidity increases the cloudiness, resulting in an enhancement of the greenhouse effect. As a result, downward longwave radiation at the surface is larger than usual. In mid May, when the ice anomaly begins to appear and the surface albedo therefore becomes anomalously low, the net shortwave radiation</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ClDy..tmp.2395W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ClDy..tmp.2395W"><span>Impacts of extratropical storm tracks on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice export through Fram Strait</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, Jianfen; Zhang, Xiangdong; Wang, Zhaomin</p> <p>2018-05-01</p> <p>Studies have indicated regime shifts in atmospheric circulation, and associated changes in extratropical storm tracks and <span class="hlt">Arctic</span> storm activity, in particular on the North Atlantic side of the <span class="hlt">Arctic</span> Ocean. To improve understanding of changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice mass balance, we examined the impacts of the changed storm tracks and cyclone activity on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice export through Fram Strait by using a high resolution global ocean-<span class="hlt">sea</span> ice model, MITgcm-ECCO2. The model was forced by the Japanese 25-year Reanalysis (JRA-25) dataset. The results show that storm-induced strong northerly wind stress can cause simultaneous response of daily <span class="hlt">sea</span> ice export and, in turn, exert cumulative effects on interannual variability and long-term changes of <span class="hlt">sea</span> ice export. Further analysis indicates that storm impact on <span class="hlt">sea</span> ice export is spatially dependent. The storms occurring southeast of Fram Strait exhibit the largest impacts. The weakened intensity of winter (in this study winter is defined as October-March and summer as April-September) storms in this region after 1994/95 could be responsible for the decrease of total winter <span class="hlt">sea</span> ice export during the same time period.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19109440','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19109440"><span>Nonlinear threshold behavior during the loss of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Eisenman, I; Wettlaufer, J S</p> <p>2009-01-06</p> <p>In light of the rapid recent retreat of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, a number of studies have discussed the possibility of a critical threshold (or "tipping point") beyond which the ice-albedo feedback causes the ice cover to melt away in an irreversible process. The focus has typically been centered on the annual minimum (September) ice cover, which is often seen as particularly susceptible to destabilization by the ice-albedo feedback. Here, we examine the central physical processes associated with the transition from ice-covered to ice-free <span class="hlt">Arctic</span> Ocean conditions. We show that although the ice-albedo feedback promotes the existence of multiple ice-cover states, the stabilizing thermodynamic effects of <span class="hlt">sea</span> ice mitigate this when the <span class="hlt">Arctic</span> Ocean is ice covered during a sufficiently large fraction of the year. These results suggest that critical threshold behavior is unlikely during the approach from current perennial <span class="hlt">sea</span>-ice conditions to seasonally ice-free conditions. In a further warmed climate, however, we find that a critical threshold associated with the sudden loss of the remaining wintertime-only <span class="hlt">sea</span> ice cover may be likely.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.nsf.gov/pubs/2005/nsf0539/nsf0539_5.pdf','USGSPUBS'); return false;" href="http://www.nsf.gov/pubs/2005/nsf0539/nsf0539_5.pdf"><span>Correlated declines in Pacific <span class="hlt">arctic</span> snow and <span class="hlt">sea</span> ice cover</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Stone, Robert P.; Douglas, David C.; Belchansky, Gennady I.; Drobot, Sheldon</p> <p>2005-01-01</p> <p>Simulations of future climate suggest that global warming will reduce <span class="hlt">Arctic</span> snow and ice cover, resulting in decreased surface albedo (reflectivity). Lowering of the surface albedo leads to further warming by increasing solar absorption at the surface. This phenomenon is referred to as “temperature–albedo feedback.” Anticipation of such a feedback is one reason why scientists look to the <span class="hlt">Arctic</span> for early indications of global warming. Much of the <span class="hlt">Arctic</span> has warmed significantly. Northern Hemisphere snow cover has decreased, and <span class="hlt">sea</span> ice has diminished in area and thickness. As reported in the <span class="hlt">Arctic</span> Climate Impact Assessment in 2004, the trends are considered to be outside the range of natural variability, implicating global warming as an underlying cause. Changing climatic conditions in the high northern latitudes have influenced biogeochemical cycles on a broad scale. Warming has already affected the <span class="hlt">sea</span> ice, the tundra, the plants, the animals, and the indigenous populations that depend on them. Changing annual cycles of snow and <span class="hlt">sea</span> ice also affect sources and sinks of important greenhouse gases (such as carbon dioxide and methane), further complicating feedbacks involving the global budgets of these important constituents. For instance, thawing permafrost increases the extent of tundra wetlands and lakes, releasing greater amounts of methane into the atmosphere. Variable <span class="hlt">sea</span> ice cover may affect the hemispheric carbon budget by altering the ocean–atmosphere exchange of carbon dioxide. There is growing concern that amplification of global warming in the <span class="hlt">Arctic</span> will have far-reaching effects on lower latitude climate through these feedback mechanisms. Despite the diverse and convincing observational evidence that the <span class="hlt">Arctic</span> environment is changing, it remains unclear whether these changes are anthropogenically forced or result from natural variations of the climate system. A better understanding of what controls the seasonal distributions of snow and ice</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_12 --> <div id="page_13" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="241"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFM.C21C..01W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFM.C21C..01W"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Thickness - Past, Present And Future</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wadhams, P.</p> <p>2007-12-01</p> <p>In November 2005 the International Workshop on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Thickness: Past, Present and Future was held at Rungstedgaard Conference Center, near Copenhagen, Denmark. The proceedings of the Workshop were subsequently published as a book by the European Commission. In this review we summarise the conclusions of the Workshop on the techniques which show the greatest promise for thickness monitoring on different spatial and temporal scales, and for different purposes. Sonic methods, EM techniques, buoys and satellite methods will be considered. Some copies of the book will be available at the lecture, and others can be ordered from the European Commission. The paper goes on to consider early results from some of the latest measurements on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness done in 2007. These comprise a trans-<span class="hlt">Arctic</span> voyage by a UK submarine, HMS "Tireless", equipped with a Kongsberg 3002 multibeam sonar which generates a 3-D digital terrain map of the ice underside; and experiments at the APLIS ice station in the Beaufort <span class="hlt">Sea</span> carried out by the Gavia AUV equipped with a GeoSwath interferometric sonar. In both cases 3-D mapping of <span class="hlt">sea</span> ice constitutes a new step forward in <span class="hlt">sea</span> ice data collection, but in the case of the submarine the purpose is to map change in ice thickness (comparing results with a 2004 "Tireless" cruise and with US and UK data prior to 2000), while for the small AUV the purpose is intensive local mapping of a few ridges to improve our knowledge of their structure, as part of a multisensor programme</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70014676','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70014676"><span><span class="hlt">ARCTIC</span> <span class="hlt">SEA</span> ICE EXTENT AND DRIFT, MODELED AS A VISCOUS FLUID.</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Ling, Chi-Hai; Parkinson, Claire L.</p> <p>1986-01-01</p> <p>A dynamic/thermodynamic numerical model of <span class="hlt">sea</span> ice has been used to calculate the yearly cycle of <span class="hlt">sea</span> ice thicknesses, concentrations, and velocities in the <span class="hlt">Arctic</span> Ocean and surrounding <span class="hlt">seas</span>. The model combines the formulations of two previous models, taking the thermodynamics and momentum equations from the model of Parkinson and Washington and adding the constitutive equation and equation of state from the model of Ling, Rasmussen, and Campbell. Simulated annually averaged ice drift vectors compare well with observed ice drift from the <span class="hlt">Arctic</span> Ocean Buoy Program.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..15.5758P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..15.5758P"><span>The Impact of a Lower <span class="hlt">Sea</span> Ice Extent on <span class="hlt">Arctic</span> Greenhouse Gas Exchange</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Parmentier, Frans-Jan W.; Christensen, Torben R.; Lotte Sørensen, Lise; Rysgaard, Søren; McGuire, A. David; Miller, Paul A.; Walker, Donald A.</p> <p>2013-04-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent hit a new record low in September 2012, when it fell to a level about two times lower than the 1979-2000 average. Record low <span class="hlt">sea</span> ice extents such as these are often hailed as an obvious example of the impact of climate change on the <span class="hlt">Arctic</span>. Less obvious, however, are the further implications of a lower <span class="hlt">sea</span> ice extent on <span class="hlt">Arctic</span> greenhouse gas exchange. For example, a reduction in <span class="hlt">sea</span> ice, in consort with a lower snow cover, has been connected to higher surface temperatures in the terrestrial part of the <span class="hlt">Arctic</span> (Screen et al., 2012). These higher temperatures and longer growing seasons have the potential to alter the CO2 balance of <span class="hlt">Arctic</span> tundra through enhanced photosynthesis and respiration, as well as the magnitude of methane emissions. In fact, large changes are already observed in terrestrial ecosystems (Post et al., 2009), and concerns have been raised of large releases of carbon through permafrost thaw (Schuur et al., 2011). While these changes in the greenhouse gas balance of the terrestrial <span class="hlt">Arctic</span> are described in numerous studies, a connection with a decline in <span class="hlt">sea</span> ice extent is nonetheless seldom made. In addition to these changes on land, a lower <span class="hlt">sea</span> ice extent also has a direct effect on the exchange of greenhouse gases between the ocean and the atmosphere. For example, due to <span class="hlt">sea</span> ice retreat, more ocean surface remains in contact with the atmosphere, and this has been suggested to increase the oceanic uptake of CO2 (Bates et al., 2006). However, the sustainability of this increased uptake is uncertain (Cai et al., 2010), and carbon fluxes related directly to the <span class="hlt">sea</span> ice itself add much uncertainty to the oceanic uptake of CO2 (Nomura et al., 2006; Rysgaard et al., 2007). Furthermore, significant emissions of methane from the <span class="hlt">Arctic</span> Ocean have been observed (Kort et al., 2012; Shakhova et al., 2010), but the consequence of a lower <span class="hlt">sea</span> ice extent thereon is still unclear. Overall, the decline in <span class="hlt">sea</span> ice that has been seen in recent</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2014/3088/pdf/fs2014-3088.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2014/3088/pdf/fs2014-3088.pdf"><span>Changing <span class="hlt">Arctic</span> ecosystems: <span class="hlt">sea</span> ice decline, permafrost thaw, and benefits for geese</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Flint, Paul L.; Whalen, Mary E.; Pearce, John M.</p> <p>2014-01-01</p> <p>Through the Changing <span class="hlt">Arctic</span> Ecosystems (CAE) initiative, the U.S. Geological Survey (USGS) strives to inform resource management decisions for <span class="hlt">Arctic</span> Alaska by providing scientific information on current and future ecosystem response to a warming climate. A key area for the USGS CAE initiative has been the <span class="hlt">Arctic</span> Coastal Plain of northern Alaska. This region has experienced a warming trend over the past 30 years, leading to reductions in <span class="hlt">sea</span> ice and thawing of permafrost. Loss of <span class="hlt">sea</span> ice has increased ocean wave action, leading to erosion and salt water inundation of coastal habitats. Saltwater tolerant plants are now thriving in these areas and this appears to be a positive outcome for geese in the <span class="hlt">Arctic</span>. This finding is contrary to the deleterious effects that declining <span class="hlt">sea</span> ice is having on habitats of ice-dependent animals, such as polar bear and walrus.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27650478','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27650478"><span>Canadian <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice reconstructed from bromine in the Greenland NEEM ice core.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Spolaor, Andrea; Vallelonga, Paul; Turetta, Clara; Maffezzoli, Niccolò; Cozzi, Giulio; Gabrieli, Jacopo; Barbante, Carlo; Goto-Azuma, Kumiko; Saiz-Lopez, Alfonso; Cuevas, Carlos A; Dahl-Jensen, Dorthe</p> <p>2016-09-21</p> <p>Reconstructing the past variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice provides an essential context for recent multi-year <span class="hlt">sea</span> ice decline, although few quantitative reconstructions cover the Holocene period prior to the earliest historical records 1,200 years ago. Photochemical recycling of bromine is observed over first-year, or seasonal, <span class="hlt">sea</span> ice in so-called "bromine explosions" and we employ a 1-D chemistry transport model to quantify processes of bromine enrichment over first-year <span class="hlt">sea</span> ice and depositional transport over multi-year <span class="hlt">sea</span> ice and land ice. We report bromine enrichment in the Northwest Greenland Eemian NEEM ice core since the end of the Eemian interglacial 120,000 years ago, finding the maximum extension of first-year <span class="hlt">sea</span> ice occurred approximately 9,000 years ago during the Holocene climate optimum, when Greenland temperatures were 2 to 3 °C above present values. First-year <span class="hlt">sea</span> ice extent was lowest during the glacial stadials suggesting complete coverage of the <span class="hlt">Arctic</span> Ocean by multi-year <span class="hlt">sea</span> ice. These findings demonstrate a clear relationship between temperature and first-year <span class="hlt">sea</span> ice extent in the <span class="hlt">Arctic</span> and suggest multi-year <span class="hlt">sea</span> ice will continue to decline as polar amplification drives <span class="hlt">Arctic</span> temperatures beyond the 2 °C global average warming target of the recent COP21 Paris climate agreement.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160004954&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dsea','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160004954&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dsea"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Simulation in the PlioMIP Ensemble</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Howell, Fergus W.; Haywood, Alan M.; Otto-Bliesner, Bette L.; Bragg, Fran; Chan, Wing-Le; Chandler, Mark A.; Contoux, Camille; Kamae, Youichi; Abe-Ouchi, Ayako; Rosenbloom, Nan A.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160004954'); toggleEditAbsImage('author_20160004954_show'); toggleEditAbsImage('author_20160004954_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160004954_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160004954_hide"></p> <p>2016-01-01</p> <p>Eight general circulation models have simulated the mid-Pliocene warm period (mid-Pliocene, 3.264 to 3.025 Ma) as part of the Pliocene Modelling Intercomparison Project (PlioMIP). Here, we analyse and compare their simulation of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice for both the pre-industrial period and the mid-Pliocene. Mid-Pliocene <span class="hlt">sea</span> ice thickness and extent is reduced, and the model spread of extent is more than twice the pre-industrial spread in some summer months. Half of the PlioMIP models simulate ice-free conditions in the mid-Pliocene. This spread amongst the ensemble is in line with the uncertainties amongst proxy reconstructions for mid-Pliocene <span class="hlt">sea</span> ice extent. Correlations between mid-Pliocene <span class="hlt">Arctic</span> temperatures and <span class="hlt">sea</span> ice extents are almost twice as strong as the equivalent correlations for the pre-industrial simulations. The need for more comprehensive <span class="hlt">sea</span> ice proxy data is highlighted, in order to better compare model performances.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70037527','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70037527"><span>Quaternary <span class="hlt">Sea</span>-ice history in the <span class="hlt">Arctic</span> Ocean based on a new Ostracode <span class="hlt">sea</span>-ice proxy</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Cronin, T. M.; Gemery, L.; Briggs, W.M.; Jakobsson, M.; Polyak, L.; Brouwers, E.M.</p> <p>2010-01-01</p> <p>Paleo-<span class="hlt">sea</span>-ice history in the <span class="hlt">Arctic</span> Ocean was reconstructed using the <span class="hlt">sea</span>-ice dwelling ostracode Acetabulastoma arcticum from late Quaternary sediments from the Mendeleyev, Lomonosov, and Gakkel Ridges, the Morris Jesup Rise and the Yermak Plateau. Results suggest intermittently high levels of perennial <span class="hlt">sea</span> ice in the central <span class="hlt">Arctic</span> Ocean during Marine Isotope Stage (MIS) 3 (25-45 ka), minimal <span class="hlt">sea</span> ice during the last deglacial (16-11 ka) and early Holocene thermal maximum (11-5 ka) and increasing <span class="hlt">sea</span> ice during the mid-to-late Holocene (5-0 ka). Sediment core records from the Iceland and Rockall Plateaus show that perennial <span class="hlt">sea</span> ice existed in these regions only during glacial intervals MIS 2, 4, and 6. These results show that <span class="hlt">sea</span> ice exhibits complex temporal and spatial variability during different climatic regimes and that the development of modern perennial <span class="hlt">sea</span> ice may be a relatively recent phenomenon. ?? 2010.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1810825K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1810825K"><span>Data-Driven Modeling and Prediction of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kondrashov, Dmitri; Chekroun, Mickael; Ghil, Michael</p> <p>2016-04-01</p> <p>We present results of data-driven predictive analyses of <span class="hlt">sea</span> ice over the main <span class="hlt">Arctic</span> regions. Our approach relies on the Multilayer Stochastic Modeling (MSM) framework of Kondrashov, Chekroun and Ghil [Physica D, 2015] and it leads to probabilistic prognostic models of <span class="hlt">sea</span> ice concentration (SIC) anomalies on seasonal time scales. This approach is applied to monthly time series of state-of-the-art data-adaptive decompositions of SIC and selected climate variables over the <span class="hlt">Arctic</span>. We evaluate the predictive skill of MSM models by performing retrospective forecasts with "no-look ahead" for up to 6-months ahead. It will be shown in particular that the memory effects included intrinsically in the formulation of our non-Markovian MSM models allow for improvements of the prediction skill of large-amplitude SIC anomalies in certain <span class="hlt">Arctic</span> regions on the one hand, and of September <span class="hlt">Sea</span> Ice Extent, on the other. Further improvements allowed by the MSM framework will adopt a nonlinear formulation and explore next-generation data-adaptive decompositions, namely modification of Principal Oscillation Patterns (POPs) and rotated Multichannel Singular Spectrum Analysis (M-SSA).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160013301&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160013301&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea"><span>Assessment of <span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span> Ice Predictability in CMIP5 Decadal Hindcasts</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yang, Chao-Yuan; Liu, Jiping (Inventor); Hu, Yongyun; Horton, Radley M.; Chen, Liqi; Cheng, Xiao</p> <p>2016-01-01</p> <p>This paper examines the ability of coupled global climate models to predict decadal variability of <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice. We analyze decadal hindcasts/predictions of 11 Coupled Model Intercomparison Project Phase 5 (CMIP5) models. Decadal hindcasts exhibit a large multimodel spread in the simulated <span class="hlt">sea</span> ice extent, with some models deviating significantly from the observations as the predicted ice extent quickly drifts away from the initial constraint. The anomaly correlation analysis between the decadal hindcast and observed <span class="hlt">sea</span> ice suggests that in the <span class="hlt">Arctic</span>, for most models, the areas showing significant predictive skill become broader associated with increasing lead times. This area expansion is largely because nearly all the models are capable of predicting the observed decreasing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover. <span class="hlt">Sea</span> ice extent in the North Pacific has better predictive skill than that in the North Atlantic (particularly at a lead time of 3-7 years), but there is a reemerging predictive skill in the North Atlantic at a lead time of 6-8 years. In contrast to the <span class="hlt">Arctic</span>, Antarctic <span class="hlt">sea</span> ice decadal hindcasts do not show broad predictive skill at any timescales, and there is no obvious improvement linking the areal extent of significant predictive skill to lead time increase. This might be because nearly all the models predict a retreating Antarctic <span class="hlt">sea</span> ice cover, opposite to the observations. For the <span class="hlt">Arctic</span>, the predictive skill of the multi-model ensemble mean outperforms most models and the persistence prediction at longer timescales, which is not the case for the Antarctic. Overall, for the <span class="hlt">Arctic</span>, initialized decadal hindcasts show improved predictive skill compared to uninitialized simulations, although this improvement is not present in the Antarctic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003AGUFMOS11B..06R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003AGUFMOS11B..06R"><span>Predicting the Extent of Summer <span class="hlt">Sea</span> Ice in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rigor, I. G.; Wallace, J. M.</p> <p>2003-12-01</p> <p>The summers of 1998 and 2002 had the least <span class="hlt">sea</span> ice extent (SIE) in the <span class="hlt">Arctic</span>. These observations seem to agree with the trends noted by Parkinson, et al. (1999, hereafter P99) for the period 1979-1997, but the spatial pattern of these recent decreases in summer SIE were different. The summer trends shown by P99, exhibit large decreases in SIE primarily in the East Siberian <span class="hlt">Sea</span> (ESS), while the decreases observed during 1998 and 2002 were much larger in the Beaufort and Chukchi <span class="hlt">seas</span> (BCS). We now show that the trends for the period 1979 - 2002 are much smaller in the ESS than the trends shown by P99, and the largest decreasing trends have shifted from the ESS to the BCS. Rigor, et al. (2002) showed that the changes in SIE that P99 noted were driven by changes in atmospheric circulation related to the phase of the prior winter <span class="hlt">Arctic</span> Oscillation (AO, Thompson and Wallace, 1998) index. Given that the latest trends in SIE are different than those shown by P99, one could ask whether the affect of the AO on <span class="hlt">sea</span> ice noted by Rigor, et al. (2002) has also changed, and whether some large scale climate modes other than the AO has influenced the climate of the <span class="hlt">Arctic</span> Ocean more? To answer these questions, we applied Empirical Orthogonal Function (EOF) analysis on the September SIE data from microwave satellites, and found that the first two modes SIE were most highly correlated to the prior winter AO, and the AO index of the summer months just prior to each September. These modes explain more than 45% of the variance in SIE, and show that the influence of the winter and summer AO dominates <span class="hlt">Arctic</span> climate from 1979 - 2002. Using data from the International <span class="hlt">Arctic</span> Buoy Programme and the National Centers for Environmental Prediction, we will show that the changes in <span class="hlt">sea</span> ice extent are primarily driven by dynamic changes in <span class="hlt">sea</span> ice thickness and discuss the implications for predicting summer SIE.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C33C1202F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C33C1202F"><span>Determination of a Critical <span class="hlt">Sea</span> Ice Thickness Threshold for the Central <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ford, V.; Frauenfeld, O. W.; Nowotarski, C. J.</p> <p>2017-12-01</p> <p>While <span class="hlt">sea</span> ice extent is readily measurable from satellite observations and can be used to assess the overall survivability of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice pack, determining the spatial variability of <span class="hlt">sea</span> ice thickness remains a challenge. Turbulent and conductive heat fluxes are extremely sensitive to ice thickness but are dominated by the sensible heat flux, with energy exchange expected to increase with thinner ice cover. Fluxes over open water are strongest and have the greatest influence on the atmosphere, while fluxes over thick <span class="hlt">sea</span> ice are minimal as heat conduction from the ocean through thick ice cannot reach the atmosphere. We know that turbulent energy fluxes are strongest over open ocean, but is there a "critical thickness of ice" where fluxes are considered non-negligible? Through polar-optimized Weather Research and Forecasting model simulations, this study assesses how the wintertime <span class="hlt">Arctic</span> surface boundary layer, via sensible heat flux exchange and surface air temperature, responds to <span class="hlt">sea</span> ice thinning. The region immediately north of Franz Josef Land is characterized by a thickness gradient where <span class="hlt">sea</span> ice transitions from the thickest multi-year ice to the very thin marginal ice <span class="hlt">seas</span>. This provides an ideal location to simulate how the diminishing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice interacts with a warming atmosphere. Scenarios include both fixed <span class="hlt">sea</span> surface temperature domains for idealized thickness variability, and fixed ice fields to detect changes in the ocean-ice-atmosphere energy exchange. Results indicate that a critical thickness threshold exists below 1 meter. The threshold is between 0.4-1 meters thinner than the critical thickness for melt season survival - the difference between first year and multi-year ice. Turbulent heat fluxes and surface air temperature increase as <span class="hlt">sea</span> ice thickness transitions from perennial ice to seasonal ice. While models predict a <span class="hlt">sea</span> ice free <span class="hlt">Arctic</span> at the end of the warm season in future decades, <span class="hlt">sea</span> ice will continue to transform</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43D2485W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43D2485W"><span>Impacts of Changed Extratropical Storm Tracks on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Export through Fram Strait</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wei, J.; Zhang, X.; Wang, Z.</p> <p>2017-12-01</p> <p>Studies have indicated a poleward shift of extratropical storm tracks and intensification of <span class="hlt">Arctic</span> storm activities, in particular on the North Atlantic side of the <span class="hlt">Arctic</span> Ocean. To improve understanding of dynamic effect on changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice mass balance, we examined the impacts of the changed storm tracks and activities on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice export through Fram Strait through ocean-<span class="hlt">sea</span> ice model simulations. The model employed is the high-resolution Massachusetts Institute of Technology general circulation model (MITgcm), which was forced by the Japanese 25-year Reanalysis (JRA-25) dataset. The results show that storm-induced strong northerly wind stress can cause simultaneous response of daily <span class="hlt">sea</span> ice export and, in turn, exert cumulative effects on interannual variability and long-term changes of <span class="hlt">sea</span> ice export. Further analysis indicates that storm impact on <span class="hlt">sea</span> ice export is spatially dependent. The storms occurring southeast of Fram Strait exhibit the largest impacts. The weakened intensity of winter storms in this region after 1994/95 could be responsible for the decrease of total winter <span class="hlt">sea</span> ice export during the same time period.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990064090&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DParkinsons','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990064090&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DParkinsons"><span>Variability of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice as Viewed from Space</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.</p> <p>1998-01-01</p> <p>Over the past 20 years, satellite passive-microwave radiometry has provided a marvelous means for obtaining information about the variability of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover and particularly about <span class="hlt">sea</span> ice concentrations (% areal coverages) and from them ice extents and the lengths of the <span class="hlt">sea</span> ice season. This ability derives from the sharp contrast between the microwave emissions of <span class="hlt">sea</span> ice versus liquid water and allows routine monitoring of the vast <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover, which typically varies in extent from a minimum of about 8,000,000 sq km in September to a maximum of about 15,000,000 sq km in March, the latter value being over 1.5 times the area of either the United States or Canada. The vast <span class="hlt">Arctic</span> ice cover has many impacts, including hindering heat, mass, and y momentum exchanges between the oceans and the atmosphere, reducing the amount of solar radiation absorbed at the Earth's surface, affecting freshwater transports and ocean circulation, and serving as a vital surface for many species of polar animals. These direct impacts also lead to indirect impacts, including effects on local and perhaps global atmospheric temperatures, effects that are being examined in general circulation modeling studies, where preliminary results indicate that changes on the order of a few percent <span class="hlt">sea</span> ice concentration can lead to temperature changes of 1 K or greater even in local areas outside of the <span class="hlt">sea</span> ice region. Satellite passive-microwave data for November 1978 through December 1996 reveal marked regional and interannual variabilities in both the ice extents and the lengths of the <span class="hlt">sea</span> ice season, as well as some statistically significant trends. For the north polar ice cover as a whole, maximum ice extents varied over a range of 14,700,000 - 15,900,000 km(2), while individual regions showed much greater percentage variations, e.g., with the Greenland <span class="hlt">Sea</span> experiencing a range of 740,000 - 1,1110,000 km(2) in its yearly maximum ice coverage. Although variations from year to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy...49..775T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy...49..775T"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in the global eddy-permitting ocean reanalysis ORAP5</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tietsche, Steffen; Balmaseda, Magdalena A.; Zuo, Hao; Mogensen, Kristian</p> <p>2017-08-01</p> <p>We discuss the state of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in the global eddy-permitting ocean reanalysis Ocean ReAnalysis Pilot 5 (ORAP5). Among other innovations, ORAP5 now assimilates observations of <span class="hlt">sea</span> ice concentration using a univariate 3DVar-FGAT scheme. We focus on the period 1993-2012 and emphasize the evaluation of model performance with respect to recent observations of <span class="hlt">sea</span> ice thickness. We find that <span class="hlt">sea</span> ice concentration in ORAP5 is close to assimilated observations, with root mean square analysis residuals of less than 5 % in most regions. However, larger discrepancies exist for the Labrador <span class="hlt">Sea</span> and east of Greenland during winter owing to biases in the free-running model. <span class="hlt">Sea</span> ice thickness is evaluated against three different observational data sets that have sufficient spatial and temporal coverage: ICESat, IceBridge and SMOSIce. Large-scale features like the gradient between the thickest ice in the Canadian <span class="hlt">Arctic</span> and thinner ice in the Siberian <span class="hlt">Arctic</span> are simulated well by ORAP5. However, some biases remain. Of special note is the model's tendency to accumulate too thick ice in the Beaufort Gyre. The root mean square error of ORAP5 <span class="hlt">sea</span> ice thickness with respect to ICESat observations is 1.0 m, which is on par with the well-established PIOMAS model <span class="hlt">sea</span> ice reconstruction. Interannual variability and trend of <span class="hlt">sea</span> ice volume in ORAP5 also compare well with PIOMAS and ICESat estimates. We conclude that, notwithstanding a relatively simple <span class="hlt">sea</span> ice data assimilation scheme, the overall state of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in ORAP5 is in good agreement with observations and will provide useful initial conditions for predictions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..16.5885L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..16.5885L"><span>Estimation of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Freeboard and Thickness Using CryoSat-2</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, Sanggyun; Im, Jungho; yoon, Hyeonjin; Shin, Minso; Kim, Miae</p> <p>2014-05-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is one of the significant components of the global climate system as it plays a significant role in driving global ocean circulation, provides a continuous insulating layer at air-<span class="hlt">sea</span> interface, and reflects a large portion of the incoming solar radiation in Polar Regions. <span class="hlt">Sea</span> ice extent has constantly declined since 1980s. Its area was the lowest ever recorded on 16 September 2012 since the satellite record began in 1979. <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness has also been diminishing along with the decreasing <span class="hlt">sea</span> ice extent. Because extent and thickness, two main characteristics of <span class="hlt">sea</span> ice, are important indicators of the polar response to on-going climate change, there has been a great effort to quantify them using various approaches. <span class="hlt">Sea</span> ice thickness has been measured with numerous field techniques such as surface drilling and deploying buoys. These techniques provide sparse and discontinuous data in spatiotemporal domain. Spaceborne radar and laser altimeters can overcome these limitations and have been used to estimate <span class="hlt">sea</span> ice thickness. Ice Cloud and land Elevation Satellite (ICEsat), a laser altimeter from National Aeronautics and Space Administration (NASA), provided data to detect polar area elevation change between 2003 and 2009. CryoSat-2 launched with Synthetic Aperture Radar (SAR)/Interferometric Radar Altimeter (SIRAL) on April 2010 can provide data to estimate time-series of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness. In this study, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice freeboard and thickness in 2012 and 2013 were estimated using CryoSat-2 SAR mode data that has <span class="hlt">sea</span> ice surface height relative to the reference ellipsoid WGS84. In order to estimate <span class="hlt">sea</span> ice thickness, freeboard height, elevation difference between the top of <span class="hlt">sea</span> ice surface and leads should be calculated. CryoSat-2 profiles such as pulse peakiness, backscatter sigma-0, number of echoes, and significant wave height were examined to distinguish leads from <span class="hlt">sea</span> ice. Several near-real time cloud-free MODIS images as CryoSat-2</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFM.C51B..01S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFM.C51B..01S"><span>Impacts of Declining <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice: An International Challenge</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Serreze, M.</p> <p>2008-12-01</p> <p>As reported by the National Snow and Ice Data Center in late August of 2008, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent had already fallen to its second lowest level since regular monitoring began by satellite. As of this writing, we were closing in on the record minimum set in September of 2007. Summers may be free of <span class="hlt">sea</span> ice by the year 2030. Recognition is growing that ice loss will have environmental impacts that may extend well beyond the <span class="hlt">Arctic</span>. The <span class="hlt">Arctic</span> Ocean will in turn become more accessible, not just to tourism and commercial shipping, but to exploitation of oil wealth at the bottom of the ocean. In recognition of growing accessibility and oil operations, the United States Coast Guard set up temporary bases this summer at Barrow and Prudhoe Bay, AK, from which they conducted operations to test their readiness and capabilities, such as for search and rescue. The Canadians have been busy showing a strong <span class="hlt">Arctic</span> presence. In August, a German crew traversed the Northwest Passage from east to west in one of their icebreakers, the Polarstern. What are the major national and international research efforts focusing on the multifaceted problem of declining <span class="hlt">sea</span> ice? What are the areas of intersection, and what is the state of collaboration? How could national and international collaboration be improved? This talk will review some of these issues.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70186594','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70186594"><span>Diminishing <span class="hlt">sea</span> ice in the western <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Stone, R.S.; Belchansky, G.I.; Drobot, Sheldon; Douglas, David C.; Levinson, D.H.; Waple, A.M.</p> <p>2004-01-01</p> <p>Since the advent of satellite passive microwave radiometry (1978), variations in <span class="hlt">sea</span> ice extent and concentration have been carefully monitored from space. An estimated 7.4% decrease in <span class="hlt">sea</span> ice extent has occurred in the last 25 yr (Johannessen et al. 2004), with recent record minima (e.g., Maslanik et al. 1999; Serreze et al. 2003) accounting for much of the decline. Comparisons between the time series of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt dynamics and snowmelt dates at the NOAA–CMDL Barrow Observatory (BRW) reveal intriguing correlations.Melt-onset dates over <span class="hlt">sea</span> ice (Drobot and Anderson 2001) were cross correlated with the melt-date time series from BRW, and a prominent region of high correlation between snowmelt onset over <span class="hlt">sea</span> ice and the BRW record of melt dates was approximately aligned with the climatological center of the Beaufort <span class="hlt">Sea</span> Anticyclone (BSA). The BSA induces anticyclonic ice motion in the region, effectively forcing the Beaufort gyre. A weak gyre caused by a breakdown of the BSA diminishes transport of multiyear ice into this region (Drobot and Maslanik 2003). Similarly, the annual snow cycle at BRW varies with the position and intensity of the BSA (Stone et al. 2002, their Fig. 6). Thus, variations in the BSA appear to have far-reaching effects on the annual accumulation and subsequent melt of snow over a large region of the western <span class="hlt">Arctic</span>.A dramatic increase in melt season duration (Belchansky et al. 2004) was also observed within the same region of high correlation between onset of melt over the ice pack and snowmelt at BRW (Fig. 5.7). By inference, this suggests linkages between factors that modulate the annual cycle of snow on land and processes that influence melting of snow and ice in the western <span class="hlt">Arctic</span> Ocean.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4951643','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4951643"><span>Biopolymers form a gelatinous microlayer at the air-<span class="hlt">sea</span> interface when <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melts</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Galgani, Luisa; Piontek, Judith; Engel, Anja</p> <p>2016-01-01</p> <p>The interface layer between ocean and atmosphere is only a couple of micrometers thick but plays a critical role in climate relevant processes, including the air-<span class="hlt">sea</span> exchange of gas and heat and the emission of primary organic aerosols (POA). Recent findings suggest that low-level cloud formation above the <span class="hlt">Arctic</span> Ocean may be linked to organic polymers produced by marine microorganisms. <span class="hlt">Sea</span> ice harbors high amounts of polymeric substances that are produced by cells growing within the <span class="hlt">sea</span>-ice brine. Here, we report from a research cruise to the central <span class="hlt">Arctic</span> Ocean in 2012. Our study shows that microbial polymers accumulate at the air-<span class="hlt">sea</span> interface when the <span class="hlt">sea</span> ice melts. Proteinaceous compounds represented the major fraction of polymers supporting the formation of a gelatinous interface microlayer and providing a hitherto unrecognized potential source of marine POA. Our study indicates a novel link between <span class="hlt">sea</span> ice-ocean and atmosphere that may be sensitive to climate change. PMID:27435531</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/fs/2012/3131/pdf/fs20123131.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/fs/2012/3131/pdf/fs20123131.pdf"><span>Polar bear and walrus response to the rapid decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Oakley, K.; Whalen, M.; Douglas, David C.; Udevitz, Mark S.; Atwood, Todd C.; Jay, C.</p> <p>2012-01-01</p> <p>The <span class="hlt">Arctic</span> is warming faster than other regions of the world due to positive climate feedbacks associated with loss of snow and ice. One highly visible consequence has been a rapid decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the past 3 decades - a decline projected to continue and result in ice-free summers likely as soon as 2030. The polar bear (Ursus maritimus) and the Pacific walrus (Odobenus rosmarus divergens) are dependent on <span class="hlt">sea</span> ice over the continental shelves of the <span class="hlt">Arctic</span> Ocean's marginal <span class="hlt">seas</span>. The continental shelves are shallow regions with high biological productivity, supporting abundant marine life within the water column and on the <span class="hlt">sea</span> floor. Polar bears use <span class="hlt">sea</span> ice as a platform for hunting ice seals; walruses use <span class="hlt">sea</span> ice as a resting platform between dives to forage for clams and other bottom-dwelling invertebrates. How have <span class="hlt">sea</span> ice changes affected polar bears and walruses? How will anticipated changes affect them in the future?</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1989JGR....94.4984W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1989JGR....94.4984W"><span><span class="hlt">Sea</span> ice ridging in the Ross <span class="hlt">Sea</span>, Antarctica, as compared with sites in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Weeks, W. F.; Ackley, S. F.; Govoni, J.</p> <p>1989-04-01</p> <p>At the end of the 1980 austral winter, surface roughness measurements were made by laser profilometer during a series of flights over the Ross <span class="hlt">Sea</span> pack ice. The total track length was 2696 km, and 4365 ridges were counted. The frequency distribution of individual ridge heights was found to be well described by a negative exponential distribution. No clear-cut regional variation was noted in ridge heights. The distribution of ridge frequencies per kilometer showed a strong positive skew with a modal value of 1.88; the most frequent ridging occurred off the east coast of Victoria Land. Comparisons with similar data sets from the <span class="hlt">Arctic</span> indicate that large ridges are significantly more likely in the <span class="hlt">Arctic</span> Ocean than in the Ross <span class="hlt">Sea</span>. Utilizing a reasonable model for the geometry of ridges, estimates are made of the average thickness of a hypothetical continuous layer composed only of the deformed ice from ridges. The noncoastal Ross <span class="hlt">Sea</span> value of 0.09 m is less than half of the lowest comparable value from the <span class="hlt">Arctic</span> (0.20 m, central Beaufort <span class="hlt">Sea</span>) where values in excess of 1.0 m have been observed in the shear zones north of Greenland.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_13 --> <div id="page_14" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="261"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRC..123.1586G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRC..123.1586G"><span>Atmosphere-Ice-Ocean-Ecosystem Processes in a Thinner <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Regime: The Norwegian Young <span class="hlt">Sea</span> ICE (N-ICE2015) Expedition</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Granskog, Mats A.; Fer, Ilker; Rinke, Annette; Steen, Harald</p> <p>2018-03-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has been in rapid decline the last decade and the Norwegian young <span class="hlt">sea</span> ICE (N-ICE2015) expedition sought to investigate key processes in a thin <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice regime, with emphasis on atmosphere-snow-ice-ocean dynamics and <span class="hlt">sea</span> ice associated ecosystem. The main findings from a half-year long campaign are collected into this special section spanning the Journal of Geophysical Research: Atmospheres, Journal of Geophysical Research: Oceans, and Journal of Geophysical Research: Biogeosciences and provide a basis for a better understanding of processes in a thin <span class="hlt">sea</span> ice regime in the high <span class="hlt">Arctic</span>. All data from the campaign are made freely available to the research community.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4455714','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4455714"><span>Regional variability in <span class="hlt">sea</span> ice melt in a changing <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Perovich, Donald K.; Richter-Menge, Jacqueline A.</p> <p>2015-01-01</p> <p>In recent years, the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has undergone a precipitous decline in summer extent. The <span class="hlt">sea</span> ice mass balance integrates heat and provides insight on atmospheric and oceanic forcing. The amount of surface melt and bottom melt that occurs during the summer melt season was measured at 41 sites over the time period 1957 to 2014. There are large regional and temporal variations in both surface and bottom melting. Combined surface and bottom melt ranged from 16 to 294 cm, with a mean of 101 cm. The mean ice equivalent surface melt was 48 cm and the mean bottom melt was 53 cm. On average, surface melting decreases moving northward from the Beaufort <span class="hlt">Sea</span> towards the North Pole; however interannual differences in atmospheric forcing can overwhelm the influence of latitude. Substantial increases in bottom melting are a major contributor to ice losses in the Beaufort <span class="hlt">Sea</span>, due to decreases in ice concentration. In the central <span class="hlt">Arctic</span>, surface and bottom melting demonstrate interannual variability, but show no strong temporal trends from 2000 to 2014. This suggests that under current conditions, summer melting in the central <span class="hlt">Arctic</span> is not large enough to completely remove the <span class="hlt">sea</span> ice cover. PMID:26032323</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26032323','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26032323"><span>Regional variability in <span class="hlt">sea</span> ice melt in a changing <span class="hlt">Arctic</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Perovich, Donald K; Richter-Menge, Jacqueline A</p> <p>2015-07-13</p> <p>In recent years, the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has undergone a precipitous decline in summer extent. The <span class="hlt">sea</span> ice mass balance integrates heat and provides insight on atmospheric and oceanic forcing. The amount of surface melt and bottom melt that occurs during the summer melt season was measured at 41 sites over the time period 1957 to 2014. There are large regional and temporal variations in both surface and bottom melting. Combined surface and bottom melt ranged from 16 to 294 cm, with a mean of 101 cm. The mean ice equivalent surface melt was 48 cm and the mean bottom melt was 53 cm. On average, surface melting decreases moving northward from the Beaufort <span class="hlt">Sea</span> towards the North Pole; however interannual differences in atmospheric forcing can overwhelm the influence of latitude. Substantial increases in bottom melting are a major contributor to ice losses in the Beaufort <span class="hlt">Sea</span>, due to decreases in ice concentration. In the central <span class="hlt">Arctic</span>, surface and bottom melting demonstrate interannual variability, but show no strong temporal trends from 2000 to 2014. This suggests that under current conditions, summer melting in the central <span class="hlt">Arctic</span> is not large enough to completely remove the <span class="hlt">sea</span> ice cover. © 2015 The Author(s) Published by the Royal Society. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4438723','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4438723"><span>Shallow methylmercury production in the marginal <span class="hlt">sea</span> ice zone of the central <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Heimbürger, Lars-Eric; Sonke, Jeroen E.; Cossa, Daniel; Point, David; Lagane, Christelle; Laffont, Laure; Galfond, Benjamin T.; Nicolaus, Marcel; Rabe, Benjamin; van der Loeff, Michiel Rutgers</p> <p>2015-01-01</p> <p>Methylmercury (MeHg) is a neurotoxic compound that threatens wildlife and human health across the <span class="hlt">Arctic</span> region. Though much is known about the source and dynamics of its inorganic mercury (Hg) precursor, the exact origin of the high MeHg concentrations in <span class="hlt">Arctic</span> biota remains uncertain. <span class="hlt">Arctic</span> coastal sediments, coastal marine waters and surface snow are known sites for MeHg production. Observations on marine Hg dynamics, however, have been restricted to the Canadian Archipelago and the Beaufort <span class="hlt">Sea</span> (<79°N). Here we present the first central <span class="hlt">Arctic</span> Ocean (79–90°N) profiles for total mercury (tHg) and MeHg. We find elevated tHg and MeHg concentrations in the marginal <span class="hlt">sea</span> ice zone (81–85°N). Similar to other open ocean basins, <span class="hlt">Arctic</span> MeHg concentration maxima also occur in the pycnocline waters, but at much shallower depths (150–200 m). The shallow MeHg maxima just below the productive surface layer possibly result in enhanced biological uptake at the base of the <span class="hlt">Arctic</span> marine food web and may explain the elevated MeHg concentrations in <span class="hlt">Arctic</span> biota. We suggest that <span class="hlt">Arctic</span> warming, through thinning <span class="hlt">sea</span> ice, extension of the seasonal <span class="hlt">sea</span> ice zone, intensified surface ocean stratification and shifts in plankton ecodynamics, will likely lead to higher marine MeHg production. PMID:25993348</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25993348','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25993348"><span>Shallow methylmercury production in the marginal <span class="hlt">sea</span> ice zone of the central <span class="hlt">Arctic</span> Ocean.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Heimbürger, Lars-Eric; Sonke, Jeroen E; Cossa, Daniel; Point, David; Lagane, Christelle; Laffont, Laure; Galfond, Benjamin T; Nicolaus, Marcel; Rabe, Benjamin; van der Loeff, Michiel Rutgers</p> <p>2015-05-20</p> <p>Methylmercury (MeHg) is a neurotoxic compound that threatens wildlife and human health across the <span class="hlt">Arctic</span> region. Though much is known about the source and dynamics of its inorganic mercury (Hg) precursor, the exact origin of the high MeHg concentrations in <span class="hlt">Arctic</span> biota remains uncertain. <span class="hlt">Arctic</span> coastal sediments, coastal marine waters and surface snow are known sites for MeHg production. Observations on marine Hg dynamics, however, have been restricted to the Canadian Archipelago and the Beaufort <span class="hlt">Sea</span> (<79 °N). Here we present the first central <span class="hlt">Arctic</span> Ocean (79-90 °N) profiles for total mercury (tHg) and MeHg. We find elevated tHg and MeHg concentrations in the marginal <span class="hlt">sea</span> ice zone (81-85 °N). Similar to other open ocean basins, <span class="hlt">Arctic</span> MeHg concentration maxima also occur in the pycnocline waters, but at much shallower depths (150-200 m). The shallow MeHg maxima just below the productive surface layer possibly result in enhanced biological uptake at the base of the <span class="hlt">Arctic</span> marine food web and may explain the elevated MeHg concentrations in <span class="hlt">Arctic</span> biota. We suggest that <span class="hlt">Arctic</span> warming, through thinning <span class="hlt">sea</span> ice, extension of the seasonal <span class="hlt">sea</span> ice zone, intensified surface ocean stratification and shifts in plankton ecodynamics, will likely lead to higher marine MeHg production.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990064613&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DParkinsons','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990064613&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DParkinsons"><span>Variability of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice as Determined from Satellite Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.</p> <p>1999-01-01</p> <p>The compiled, quality-controlled satellite multichannel passive-microwave record of polar <span class="hlt">sea</span> ice now spans over 18 years, from November 1978 through December 1996, and is revealing considerable information about the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover and its variability. The information includes data on ice concentrations (percent areal coverages of ice), ice extents, ice melt, ice velocities, the seasonal cycle of the ice, the interannual variability of the ice, the frequency of ice coverage, and the length of the <span class="hlt">sea</span> ice season. The data reveal marked regional and interannual variabilities, as well as some statistically significant trends. For the north polar ice cover as a whole, maximum ice extents varied over a range of 14,700,000 - 15,900,000 sq km, while individual regions experienced much greater percent variations, for instance, with the Greenland <span class="hlt">Sea</span> having a range of 740,000 - 1,110,000 sq km in its yearly maximum ice coverage. In spite of the large variations from year to year and region to region, overall the <span class="hlt">Arctic</span> ice extents showed a statistically significant, 2.80% / decade negative trend over the 18.2-year period. Ice season lengths, which vary from only a few weeks near the ice margins to the full year in the large region of perennial ice coverage, also experienced interannual variability, along with spatially coherent overall trends. Linear least squares trends show the <span class="hlt">sea</span> ice season to have lengthened in much of the Bering <span class="hlt">Sea</span>, Baffin Bay, the Davis Strait, and the Labrador <span class="hlt">Sea</span>, but to have shortened over a much larger area, including the <span class="hlt">Sea</span> of Okhotsk, the Greenland <span class="hlt">Sea</span>, the Barents <span class="hlt">Sea</span>, and the southeastern <span class="hlt">Arctic</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.2525P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.2525P"><span>Structural-tectonic zoning of the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Petrov, Oleg; Sobolev, Nikolay; Morozov, Andrey; Shokalsky, Sergey; Kashubin, Sergey; Grikurov, Garrik; Tolmacheva, Tatiana; Rekant, Pavel; Petrov, Evgeny</p> <p>2017-04-01</p> <p>Structural-tectonic zoning of the <span class="hlt">Arctic</span> is based on the processing of geological and geophysical data and bottom sampling materials produced within the project "Atlas of Geological Maps of the Circumpolar <span class="hlt">Arctic</span>." Zoning of the <span class="hlt">Arctic</span> territories has been conducted taking into account the Earth's crust types, age of consolidated basement, and features of geological structure of the sedimentary cover. Developed legend for the zoning scheme incorporates five main groups of elements: continental and oceanic crust, folded platform covers, accretion-collision systems, and provinces of continental cover basalts. An important feature of the structural-tectonic zoning scheme is designation of continental crust in the central regions of the <span class="hlt">Arctic</span> Ocean, the existence of which is assumed on the basis of numerous geological data. It has been found that most of the <span class="hlt">Arctic</span> region has continental crust with the exception of the Eurasian Basin and the central part of the Canada Basin, which are characterized by oceanic crust type. Thickness of continental crust from seismic data varies widely: from 30-32 km on the Mendeleev Rise to 18-20 km on the Lomonosov Ridge, decreasing to 8-10 km in rift structures of the Podvodnikov-Makarov Basin at the expense of reduction of the upper granite layer. New data confirm similar basement structure on the western and eastern continental margins of the Eurasian oceanic basin. South to north, areas of Neoproterozoic (Baikalian) and Paleozoic (Ellesmerian) folding are successively distinguished. Neoproterozoic foldbelt is observed in Central Taimyr (Byrranga Mountains). Continuation of this belt in the eastern part of the <span class="hlt">Arctic</span> is Novosibirsk-Chukchi fold system. Ellesmerian orogen incorporates the northernmost areas of Taimyr and Severnaya Zemlya, wherefrom it can be traced to the Geofizikov Spur of the Lomonosov Ridge and further across the De Long Archipelago and North Chukchi Basin to the north of Alaska Peninsula and in the Beaufort <span class="hlt">Sea</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016GeoRL..43.2792W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016GeoRL..43.2792W"><span>Suppressed midlatitude summer atmospheric warming by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss during 1979-2012</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wu, Qigang; Cheng, Luyao; Chan, Duo; Yao, Yonghong; Hu, Haibo; Yao, Ying</p> <p>2016-03-01</p> <p>Since the 1980s, rapid <span class="hlt">Arctic</span> warming, <span class="hlt">sea</span> ice decline, and weakening summer circulation have coincided with an increasing number of extreme heat waves and other destructive weather events in the Northern Hemisphere (NH) midlatitudes in summer. Recent papers disagree about whether such high-impact events are related to <span class="hlt">Arctic</span> warming and/or ice loss. Here we use atmospheric model ensemble simulations to attribute effects of <span class="hlt">sea</span> ice loss and other factors on observed summer climate trends during 1979-2012. The ongoing greenhouse gas buildup and resulting <span class="hlt">sea</span> surface temperature warming outside the <span class="hlt">Arctic</span> explains nearly all land warming and a significant portion of observed weakening zonal winds in the NH midlatitudes. However, <span class="hlt">sea</span> ice loss has induced a negative <span class="hlt">Arctic</span> Oscillation(AO)-type circulation with significant summer surface and tropospheric cooling trends over large portions of the NH midlatitudes, which reduce the warming and might reduce the probability of regional severe hot summers.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C32B..04P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C32B..04P"><span>Simple rules govern the patterns of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt ponds</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Popovic, P.; Cael, B. B.; Abbot, D. S.; Silber, M.</p> <p>2017-12-01</p> <p>Climate change, amplified in the far north, has led to a rapid <span class="hlt">sea</span> ice decline in recent years. Melt ponds that form on the surface of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in the summer significantly lower the ice albedo, thereby accelerating ice melt. Pond geometry controls the details of this crucial feedback. However, currently it is unclear how to model this intricate geometry. Here we show that an extremely simple model of voids surrounding randomly sized and placed overlapping circles reproduces the essential features of pond patterns. The model has only two parameters, circle scale and the fraction of the surface covered by voids, and we choose them by comparing the model to pond images. Using these parameters the void model robustly reproduces all of the examined pond features such as the ponds' area-perimeter relationship and the area-abundance relationship over nearly 7 orders of magnitude. By analyzing airborne photographs of <span class="hlt">sea</span> ice, we also find that the typical pond scale is surprisingly constant across different years, regions, and ice types. These results demonstrate that the geometric and abundance patterns of <span class="hlt">Arctic</span> melt ponds can be simply described, and can guide future models of <span class="hlt">Arctic</span> melt ponds to improve predictions of how <span class="hlt">sea</span> ice will respond to <span class="hlt">Arctic</span> warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29692405','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29692405"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is an important temporal sink and means of transport for microplastic.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Peeken, Ilka; Primpke, Sebastian; Beyer, Birte; Gütermann, Julia; Katlein, Christian; Krumpen, Thomas; Bergmann, Melanie; Hehemann, Laura; Gerdts, Gunnar</p> <p>2018-04-24</p> <p>Microplastics (MP) are recognized as a growing environmental hazard and have been identified as far as the remote Polar Regions, with particularly high concentrations of microplastics in <span class="hlt">sea</span> ice. Little is known regarding the horizontal variability of MP within <span class="hlt">sea</span> ice and how the underlying water body affects MP composition during <span class="hlt">sea</span> ice growth. Here we show that <span class="hlt">sea</span> ice MP has no uniform polymer composition and that, depending on the growth region and drift paths of the <span class="hlt">sea</span> ice, unique MP patterns can be observed in different <span class="hlt">sea</span> ice horizons. Thus even in remote regions such as the <span class="hlt">Arctic</span> Ocean, certain MP indicate the presence of localized sources. Increasing exploitation of <span class="hlt">Arctic</span> resources will likely lead to a higher MP load in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and will enhance the release of MP in the areas of strong seasonal <span class="hlt">sea</span> ice melt and the outflow gateways.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000038181&hterms=atlantic+meridional+overturning+circulation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Datlantic%2Bmeridional%2Boverturning%2Bcirculation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000038181&hterms=atlantic+meridional+overturning+circulation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Datlantic%2Bmeridional%2Boverturning%2Bcirculation"><span>Influence of <span class="hlt">Sea</span> Ice on the Thermohaline Circulation in the <span class="hlt">Arctic</span>-North Atlantic Ocean</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mauritzen, Cecilie; Haekkinen, Sirpa</p> <p>1997-01-01</p> <p>A fully prognostic coupled ocean-ice model is used to study the sensitivity of the overturning cell of the <span class="hlt">Arctic</span>-North-Atlantic system to <span class="hlt">sea</span> ice forcing. The strength of the thermohaline cell will be shown to depend on the amount of <span class="hlt">sea</span> ice transported from the <span class="hlt">Arctic</span> to the Greenland <span class="hlt">Sea</span> and further to the subpolar gyre. The model produces a 2-3 Sv increase of the meridional circulation cell at 25N (at the simulation year 15) corresponding to a decrease of 800 cu km in the <span class="hlt">sea</span> ice export from the <span class="hlt">Arctic</span>. Previous modeling studies suggest that interannual and decadal variability in <span class="hlt">sea</span> ice export of this magnitude is realistic, implying that <span class="hlt">sea</span> ice induced variability in the overturning cell can reach 5-6 Sv from peak to peak.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018TCry...12..433P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018TCry...12..433P"><span>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover of 2016: a year of record-low highs and higher-than-expected lows</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Petty, Alek A.; Stroeve, Julienne C.; Holland, Paul R.; Boisvert, Linette N.; Bliss, Angela C.; Kimura, Noriaki; Meier, Walter N.</p> <p>2018-02-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover of 2016 was highly noteworthy, as it featured record low monthly <span class="hlt">sea</span> ice extents at the start of the year but a summer (September) extent that was higher than expected by most seasonal forecasts. Here we explore the 2016 <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice state in terms of its monthly <span class="hlt">sea</span> ice cover, placing this in the context of the <span class="hlt">sea</span> ice conditions observed since 2000. We demonstrate the sensitivity of monthly <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent and area estimates, in terms of their magnitude and annual rankings, to the ice concentration input data (using two widely used datasets) and to the averaging methodology used to convert concentration to extent (daily or monthly extent calculations). We use estimates of <span class="hlt">sea</span> ice area over <span class="hlt">sea</span> ice extent to analyse the relative "compactness" of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover, highlighting anomalously low compactness in the summer of 2016 which contributed to the higher-than-expected September ice extent. Two cyclones that entered the <span class="hlt">Arctic</span> Ocean during August appear to have driven this low-concentration/compactness ice cover but were not sufficient to cause more widespread melt-out and a new record-low September ice extent. We use concentration budgets to explore the regions and processes (thermodynamics/dynamics) contributing to the monthly 2016 extent/area estimates highlighting, amongst other things, rapid ice intensification across the central eastern <span class="hlt">Arctic</span> through September. Two different products show significant early melt onset across the <span class="hlt">Arctic</span> Ocean in 2016, including record-early melt onset in the North Atlantic sector of the <span class="hlt">Arctic</span>. Our results also show record-late 2016 freeze-up in the central <span class="hlt">Arctic</span>, North Atlantic and the Alaskan <span class="hlt">Arctic</span> sector in particular, associated with strong <span class="hlt">sea</span> surface temperature anomalies that appeared shortly after the 2016 minimum (October onwards). We explore the implications of this low summer ice compactness for seasonal forecasting, suggesting that <span class="hlt">sea</span> ice area could be a more reliable</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2629232','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2629232"><span>Nonlinear threshold behavior during the loss of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Eisenman, I.; Wettlaufer, J. S.</p> <p>2009-01-01</p> <p>In light of the rapid recent retreat of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, a number of studies have discussed the possibility of a critical threshold (or “tipping point”) beyond which the ice–albedo feedback causes the ice cover to melt away in an irreversible process. The focus has typically been centered on the annual minimum (September) ice cover, which is often seen as particularly susceptible to destabilization by the ice–albedo feedback. Here, we examine the central physical processes associated with the transition from ice-covered to ice-free <span class="hlt">Arctic</span> Ocean conditions. We show that although the ice–albedo feedback promotes the existence of multiple ice-cover states, the stabilizing thermodynamic effects of <span class="hlt">sea</span> ice mitigate this when the <span class="hlt">Arctic</span> Ocean is ice covered during a sufficiently large fraction of the year. These results suggest that critical threshold behavior is unlikely during the approach from current perennial <span class="hlt">sea</span>-ice conditions to seasonally ice-free conditions. In a further warmed climate, however, we find that a critical threshold associated with the sudden loss of the remaining wintertime-only <span class="hlt">sea</span> ice cover may be likely. PMID:19109440</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC53E0931P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC53E0931P"><span>Dynamic and thermodynamic impacts of the winter <span class="hlt">Arctic</span> Oscillation on summer <span class="hlt">sea</span> ice extent.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Park, H. S.; Stewart, A.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice extent exhibits substantial interannual variability, as is highlighted by the remarkable recovery in <span class="hlt">sea</span> ice extent in 2013 following the record minimum in the summer of 2012. Here, we explore the mechanism via which <span class="hlt">Arctic</span> Oscillation (AO)-induced ice thickness changes impact summer <span class="hlt">sea</span> ice, using observations and reanalysis data. A positive AO weakens the basin-scale anticyclonic <span class="hlt">sea</span> ice drift and decreases the winter ice thickness by 15cm and 10cm in the Eurasian and the Pacific sectors of the <span class="hlt">Arctic</span> respectively. Three reanalysis datasets show that the (upward) surface heat fluxes are reduced over wide areas of the <span class="hlt">Arctic</span>, suppressing the ice growth during the positive AO winters. The winter dynamic and thermodynamic thinning preconditions the ice for enhanced radiative forcing via the ice-albedo feedback in late spring-summer, leading to an additional 8-10 cm of thinning over the Pacific sector of the <span class="hlt">Arctic</span>. Because of these winter AO-induced dynamic and thermodynamics effects, the winter AO explains about 22% (r = -0.48) of the interannual variance of September <span class="hlt">sea</span> ice extent from year 1980 to 2015.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160007386','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160007386"><span>The Influence of <span class="hlt">Sea</span> Ice on <span class="hlt">Arctic</span> Low Cloud Properties and Radiative Effects</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Taylor, Patrick C.</p> <p>2015-01-01</p> <p>The <span class="hlt">Arctic</span> is one of the most climatically sensitive regions of the Earth. Climate models robustly project the <span class="hlt">Arctic</span> to warm 2-3 times faster than the global mean surface temperature, termed polar warming amplification (PWA), but also display the widest range of surface temperature projections in this region. The response of the <span class="hlt">Arctic</span> to increased CO2 modulates the response in tropical and extra-tropical regions through teleconnections in the atmospheric circulation. An increased frequency of extreme precipitation events in the northern mid-latitudes, for example, has been linked to the change in the background equator-to-pole temperature gradient implied by PWA. Understanding the <span class="hlt">Arctic</span> climate system is therefore important for predicting global climate change. The ice albedo feedback is the primary mechanism driving PWA, however cloud and dynamical feedbacks significantly contribute. These feedback mechanisms, however, do not operate independently. How do clouds respond to variations in <span class="hlt">sea</span> ice? This critical question is addressed by combining <span class="hlt">sea</span> ice, cloud, and radiation observations from satellites, including CERES, CloudSAT, CALIPSO, MODIS, and microwave radiometers, to investigate <span class="hlt">sea</span> ice-cloud interactions at the interannual timescale in the <span class="hlt">Arctic</span>. Cloud characteristics are strongly tied to the atmospheric dynamic and thermodynamic state. Therefore, the sensitivity of <span class="hlt">Arctic</span> cloud characteristics, vertical distribution and optical properties, to <span class="hlt">sea</span> ice anomalies is computed within atmospheric dynamic and thermodynamic regimes. Results indicate that the cloud response to changes in <span class="hlt">sea</span> ice concentration differs significantly between atmospheric state regimes. This suggests that (1) the atmospheric dynamic and thermodynamic characteristics and (2) the characteristics of the marginal ice zone are important for determining the seasonal forcing by cloud on <span class="hlt">sea</span> ice variability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMPP54A..05C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMPP54A..05C"><span>Deglacial climate modulated by the storage and release of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Condron, A.; Coletti, A. J.; Bradley, R. S.</p> <p>2017-12-01</p> <p>Periods of abrupt climate cooling during the last deglaciation (20 - 8 kyr ago) are often attributed to glacial outburst floods slowing the Atlantic meridional overturning circulation (AMOC). Here, we present results from a series of climate model simulations showing that the episodic break-up and mobilization of thick, perennial, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice during this time would have released considerable volumes of freshwater directly to the Nordic <span class="hlt">Seas</span>, where processes regulating large-scale climate occur. Massive <span class="hlt">sea</span> ice export events to the North Atlantic are generated whenever the transport of <span class="hlt">sea</span> ice is enhanced, either by changes in atmospheric circulation, rising <span class="hlt">sea</span> level submerging the Bering land bridge, or glacial outburst floods draining into the <span class="hlt">Arctic</span> Ocean from the Mackenzie River. We find that the volumes of freshwater released to the Nordic <span class="hlt">Seas</span> are similar to, or larger than, those estimated to have come from terrestrial outburst floods, including the discharge at the onset of the Younger Dryas. Our results provide the first evidence that the storage and release of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice helped drive deglacial climate change by modulating the strength of the AMOC.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A53C0392K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A53C0392K"><span>Data-driven Analysis and Prediction of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kondrashov, D. A.; Chekroun, M.; Ghil, M.; Yuan, X.; Ting, M.</p> <p>2015-12-01</p> <p>We present results of data-driven predictive analyses of <span class="hlt">sea</span> ice over the main <span class="hlt">Arctic</span> regions. Our approach relies on the Multilayer Stochastic Modeling (MSM) framework of Kondrashov, Chekroun and Ghil [Physica D, 2015] and it leads to prognostic models of <span class="hlt">sea</span> ice concentration (SIC) anomalies on seasonal time scales.This approach is applied to monthly time series of leading principal components from the multivariate Empirical Orthogonal Function decomposition of SIC and selected climate variables over the <span class="hlt">Arctic</span>. We evaluate the predictive skill of MSM models by performing retrospective forecasts with "no-look ahead" forup to 6-months ahead. It will be shown in particular that the memory effects included in our non-Markovian linear MSM models improve predictions of large-amplitude SIC anomalies in certain <span class="hlt">Arctic</span> regions. Furtherimprovements allowed by the MSM framework will adopt a nonlinear formulation, as well as alternative data-adaptive decompositions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.micropress.org/microaccess/micropaleontology/issue-311/article-1895','USGSPUBS'); return false;" href="http://www.micropress.org/microaccess/micropaleontology/issue-311/article-1895"><span>Taxonomic revision of deep-<span class="hlt">sea</span> Ostracoda from the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Yasuhara, Moriaki; Stepanova, Anna; Okahashi, Hisayo; Cronin, Thomas M.; Brouwers, Elisabeth M.</p> <p>2015-01-01</p> <p>Taxonomic revision of deep-<span class="hlt">sea</span> Ostracoda from the <span class="hlt">Arctic</span> Ocean was conducted to reduce taxonomic uncertainty that will improve our understanding of species ecology, biogeography and relationship to faunas from other deep-<span class="hlt">sea</span> regions. Fifteen genera and 40 species were examined and (re-)illustrated with high-resolution scanning electron microscopy images, covering most of known deep-<span class="hlt">sea</span> species in the central <span class="hlt">Arctic</span> Ocean. Seven new species are described: Bythoceratina lomonosovensis n. sp., Cytheropteron parahamatum n. sp., Cytheropteron lanceae n. sp.,Cytheropteron irizukii n. sp., Pedicythere arctica n. sp., Cluthiawhatleyi n. sp., Krithe hunti n. sp. This study provides a robust taxonomic baseline for application to paleoceanographical reconstruction and biodiversity analyses in this climatically sensitive region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA601068','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA601068"><span>Sunlight, <span class="hlt">Sea</span> Ice, and the Ice Albedo Feedback in a Changing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cover</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2013-09-30</p> <p><span class="hlt">Sea</span> Ice , and the Ice Albedo Feedback in a...COVERED 00-00-2013 to 00-00-2013 4. TITLE AND SUBTITLE Sunlight, <span class="hlt">Sea</span> Ice , and the Ice Albedo Feedback in a Changing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cover 5a...during a period when incident solar irradiance is large increasing solar heat input to the ice . Seasonal <span class="hlt">sea</span> ice typically has a smaller albedo</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.2497L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.2497L"><span>Atlantic Multidecadal Oscillation Modulates the Impacts of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Decline</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Li, Fei; Orsolini, Yvan J.; Wang, Huijun; Gao, Yongqi; He, Shengping</p> <p>2018-03-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has been rapidly declining in the last two decades, concurrent with a shift in the Atlantic Multidecadal Oscillation (AMO) to its warm phase around 1996/1997. Here we use both observations and model simulations to investigate the modulation of the atmospheric impacts of the decreased <span class="hlt">sea</span> ice cover in the Atlantic sector of the <span class="hlt">Arctic</span> (AASIC) by the AMO. We find that the AASIC loss during a cold AMO phase induces increased Ural blocking activity, a southeastward-extended snowpack, and a cold continent anomaly over Eurasia in December through northerly cold air advection and moisture transport from the <span class="hlt">Arctic</span>. The increased Ural blocking activity and more extended Eurasian snowpack strengthen the upward propagation of planetary waves over the Siberian-Pacific sector in the lower stratosphere and hence lead to a weakened stratospheric polar vortex and a negative <span class="hlt">Arctic</span> Oscillation (AO) phase at the surface in February. However, corresponding to the AASIC loss during a warm AMO phase, one finds more widespread warming over the <span class="hlt">Arctic</span> and a reduced snowpack over Northern Eurasia in December. The stratosphere-troposphere coupling is suppressed in early winter and no negative AO anomaly is found in February. We suggest that the cold AMO phase is important to regulate the atmospheric response to AASIC decline, and our study provides insight to the ongoing debate on the connection between the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and the AO.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_14 --> <div id="page_15" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="281"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70184662','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70184662"><span>Geographic variation of PCB congeners in polar bears (Ursus maritimus) from Svalbard east to the Chukchi <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Andersen, M.; Lie, E.; Derocher, A.E.; Belikov, S.E.; Bernhoft, A.; Boltunov, Andrei N.; Garner, G.W.; Skaare, J.U.; Wiig, Øystein</p> <p>2001-01-01</p> <p>We present data on geographic variation in polychlorinated biphenyl (PCB) congeners in adult female polar bears (Ursus maritimus) from Svalbard eastward to the Chukchi <span class="hlt">Sea</span>. Blood samples from 90 free-living polar bears were collected in 1987–1995. Six PCB congeners, penta to octa chlorinated (PCB-99, -118, -153, -156, -180, -194), were selected for this study. Differences between areas were found in PCB levels and congener patterns. Bears from Franz Josef Land (11,194 ng/g lipid weight) and the <span class="hlt">Kara</span> <span class="hlt">Sea</span> (9,412 ng/g lw) had similar ΣPCB levels and were higher than all other populations (Svalbard 5,043 ng/g lw, East Siberian <span class="hlt">Sea</span> 3,564 ng/g lw, Chukchi <span class="hlt">Sea</span> 2,465 ng/g lw). Svalbard PCB levels were higher than those from the Chukchi <span class="hlt">Sea</span>. Our results, combined with earlier findings, indicate that polar bears from Franz Josef Land and the <span class="hlt">Kara</span> <span class="hlt">Sea</span> have the highest PCB levels in the <span class="hlt">Arctic</span>. Decreasing trends were seen eastwards and westwards from this region. Of the congeners investigated in the present study, the lower chlorinated PCBs are increasing and the high chlorinated PCBs are decreasing from Svalbard eastward to the Chukchi <span class="hlt">Sea</span>. Different pollution sources, compound transport patterns and regional prey differences could explain the variation in PCB congener levels and patterns between regions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EaFut...5..633N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EaFut...5..633N"><span>Increasing transnational <span class="hlt">sea</span>-ice exchange in a changing <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Newton, Robert; Pfirman, Stephanie; Tremblay, Bruno; DeRepentigny, Patricia</p> <p>2017-06-01</p> <p>The changing <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice cover is likely to impact the trans-border exchange of <span class="hlt">sea</span> ice between the exclusive economic zones (EEZs) of the <span class="hlt">Arctic</span> nations, affecting the risk of ice-rafted contamination. We apply the Lagrangian Ice Tracking System (LITS) to identify <span class="hlt">sea</span>-ice formation events and track <span class="hlt">sea</span> ice to its melt locations. Most ice (52%) melts within 100 km of where it is formed; ca. 21% escapes from its EEZ. Thus, most contaminants will be released within an ice parcel's originating EEZ, while material carried by over 1 00,000 km2 of ice—an area larger than France and Germany combined—will be released to other nations' waters. Between the periods 1988-1999 and 2000-2014, <span class="hlt">sea</span>-ice formation increased by ˜17% (roughly 6 million km2 vs. 5 million km2 annually). Melting peaks earlier; freeze-up begins later; and the central <span class="hlt">Arctic</span> Ocean is more prominent in both formation and melt in the later period. The total area of ice transported between EEZs increased, while transit times decreased: for example, Russian ice reached melt locations in other nations' EEZs an average of 46% faster while North American ice reached destinations in Eurasian waters an average of 37% faster. Increased trans-border exchange is mainly a result of increased speed (˜14% per decade), allowing first-year ice to escape the summer melt front, even as the front extends further north. Increased trans-border exchange over shorter times is bringing the EEZs of the <span class="hlt">Arctic</span> nations closer together, which should be taken into account in policy development—including establishment of marine-protected areas.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFM.C11B0439W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFM.C11B0439W"><span>Scaling properties of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice Deformation from Buoy Dispersion Analysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Weiss, J.; Rampal, P.; Marsan, D.; Lindsay, R.; Stern, H.</p> <p>2007-12-01</p> <p>A temporal and spatial scaling analysis of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice deformation is performed over time scales from 3 hours to 3 months and over spatial scales from 300 m to 300 km. The deformation is derived from the dispersion of pairs of drifting buoys, using the IABP (International <span class="hlt">Arctic</span> Buoy Program) buoy data sets. This study characterizes the deformation of a very large solid plate -the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover- stressed by heterogeneous forcing terms like winds and ocean currents. It shows that the <span class="hlt">sea</span> ice deformation rate depends on the scales of observation following specific space and time scaling laws. These scaling properties share similarities with those observed for turbulent fluids, especially for the ocean and the atmosphere. However, in our case, the time scaling exponent depends on the spatial scale, and the spatial exponent on the temporal scale, which implies a time/space coupling. An analysis of the exponent values shows that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice deformation is very heterogeneous and intermittent whatever the scales, i.e. it cannot be considered as viscous-like, even at very large time and/or spatial scales. Instead, it suggests a deformation accommodated by a multi-scale fracturing/faulting processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24805239','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24805239"><span>Future increases in <span class="hlt">Arctic</span> precipitation linked to local evaporation and <span class="hlt">sea</span>-ice retreat.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Bintanja, R; Selten, F M</p> <p>2014-05-22</p> <p>Precipitation changes projected for the end of the twenty-first century show an increase of more than 50 per cent in the <span class="hlt">Arctic</span> regions. This marked increase, which is among the highest globally, has previously been attributed primarily to enhanced poleward moisture transport from lower latitudes. Here we use state-of-the-art global climate models to show that the projected increases in <span class="hlt">Arctic</span> precipitation over the twenty-first century, which peak in late autumn and winter, are instead due mainly to strongly intensified local surface evaporation (maximum in winter), and only to a lesser degree due to enhanced moisture inflow from lower latitudes (maximum in late summer and autumn). Moreover, we show that the enhanced surface evaporation results mainly from retreating winter <span class="hlt">sea</span> ice, signalling an amplified <span class="hlt">Arctic</span> hydrological cycle. This demonstrates that increases in <span class="hlt">Arctic</span> precipitation are firmly linked to <span class="hlt">Arctic</span> warming and <span class="hlt">sea</span>-ice decline. As a result, the <span class="hlt">Arctic</span> mean precipitation sensitivity (4.5 per cent increase per degree of temperature warming) is much larger than the global value (1.6 to 1.9 per cent per kelvin). The associated seasonally varying increase in <span class="hlt">Arctic</span> precipitation is likely to increase river discharge and snowfall over ice sheets (thereby affecting global <span class="hlt">sea</span> level), and could even affect global climate through freshening of the <span class="hlt">Arctic</span> Ocean and subsequent modulations of the Atlantic meridional overturning circulation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMGC41H..08H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMGC41H..08H"><span>The role of declining summer <span class="hlt">sea</span> ice extent in increasing <span class="hlt">Arctic</span> winter precipitation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hamman, J.; Roberts, A.; Cassano, J. J.; Nijssen, B.</p> <p>2016-12-01</p> <p>In the past three decades, the <span class="hlt">Arctic</span> has experienced large declines in summer <span class="hlt">sea</span> ice cover, permafrost extent, and spring snow cover, and increases in winter precipitation. This study explores the relationship between declining <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent (IE) and winter precipitation (WP) across the <span class="hlt">Arctic</span> land masses. The first part of this presentation presents the observed relationship between IE and WP. Using satellite estimates of IE and WP data based on a combination of in-situ observations and global reanalyses, we show that WP is negatively correlated with summer IE and that this relationship is strongest before the year 2000. After 2000, around the time IE minima began to decline most rapidly, the relationship between IE and WP degenerates. This indicates that other processes are driving changes in IE and WP. We hypothesize that positive anomalies in poleward moisture transport have historically driven anomalously low IE and high WP, and that since the significant decline in IE, moisture divergence from the central <span class="hlt">Arctic</span> has been a larger contributor to WP over land. To better understand the physical mechanisms driving the observed changes in the <span class="hlt">Arctic</span> climate system and the sensitivity of the <span class="hlt">Arctic</span> climate system to declining <span class="hlt">sea</span> ice, we have used the fully-coupled Regional <span class="hlt">Arctic</span> System Model (RASM) to simulate two distinct <span class="hlt">sea</span> ice climates. The first climate represents normal IE, while the second includes reduced summer IE. The second portion of this presentation analyzes these two RASM simulations, in conjunction with our observation-based analysis, to understand the coupled relationship between poleward moisture transport, IE, evaporation from the <span class="hlt">Arctic</span> Ocean, and precipitation. We will present the RASM-simulated <span class="hlt">Arctic</span> water budget and demonstrate the role of IE in driving WP anomalies. Finally, a spatial correlation analysis identifies characteristic patterns in IE, ocean evaporation, and polar cap convergence that contribute to anomalies in WP.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.4219S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.4219S"><span>Observations of atmospheric methane and its stable isotope ratio (δ13C) over the <span class="hlt">Arctic</span> <span class="hlt">seas</span> from ship cruises in the summer and autumn of 2015</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Skorokhod, Andrey; Belikov, Igor; Pankratova, Natalia; Novigatsky, Alexander; Thompson, Rona</p> <p>2016-04-01</p> <p>Atmospheric methane (CH4) is the second most important long-lived greenhouse gas. The <span class="hlt">Arctic</span> has significant sources of CH4, such as from wetlands and possibly also from methane hydrates, which may act as a positive feedback on the climate system. Despite significant efforts in establishing a network of ground-based CH4 observations in the <span class="hlt">Arctic</span> zone, there is still a lack of measurements over the <span class="hlt">Arctic</span> Ocean and sub-polar <span class="hlt">seas</span>. From 21 July to 9 October 2015, concentrations of CH4 and CO2, as well as of the 13C:12C isotopic ratio in CH4, i.e., δ13C, were measured in the marine boundary layer from aboard the Research Vessel "Akademik Mstislav Keldysh" by the Shirshov Institute of Oceanology. Measurements were made using a Cavity Ring Down Spectroscopy instrument from Picarro™ (model G2132-i). The cruises covered a vast area including the North Atlantic up to 70°N, the Baltic, North, Norwegian, Greenland, Barents, White, <span class="hlt">Kara</span> and Laptev <span class="hlt">Seas</span>. To the best of our knowledge, these are the first measurements of their type made in these regions. Concentrations of CH4 typically had low variations (in the range of a few ppb) in the open <span class="hlt">sea</span> but relatively large variations (of the order of 100 ppb) were recorded near and during stops in ports. High variability of atmospheric CH4 was also registered near the delta of the Lena River in the Laptev <span class="hlt">Sea</span>, which has been suggested to be a large CH4 reservoir and where bubbles rising through the water column have been observed. The obtained set of δ13CCH4 is characterized by significant range of the measured values varying from open Atlantic to polluted regions near large <span class="hlt">sea</span> ports. The Keeling plot analyses were implemented to study possible CH4 sources according to its isotopic signature. Footprint analyses are presented for the shipboard observations, as well as comparisons to simulated CH4 concentrations and δ13C using the Lagrangian transport model, FLEXPART. This work has been carried-out with the financial support of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016PhDT........79B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016PhDT........79B"><span>Interactions of <span class="hlt">arctic</span> clouds, radiation, and <span class="hlt">sea</span> ice in present-day and future climates</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Burt, Melissa Ann</p> <p></p> <p>The <span class="hlt">Arctic</span> climate system involves complex interactions among the atmosphere, land surface, and the <span class="hlt">sea</span>-ice-covered <span class="hlt">Arctic</span> Ocean. Observed changes in the <span class="hlt">Arctic</span> have emerged and projected climate trends are of significant concern. Surface warming over the last few decades is nearly double that of the entire Earth. Reduced <span class="hlt">sea</span>-ice extent and volume, changes to ecosystems, and melting permafrost are some examples of noticeable changes in the region. This work is aimed at improving our understanding of how <span class="hlt">Arctic</span> clouds interact with, and influence, the surface budget, how clouds influence the distribution of <span class="hlt">sea</span> ice, and the role of downwelling longwave radiation (DLR) in climate change. In the first half of this study, we explore the roles of <span class="hlt">sea</span>-ice thickness and downwelling longwave radiation in <span class="hlt">Arctic</span> amplification. As the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thins and ultimately disappears in a warming climate, its insulating power decreases. This causes the surface air temperature to approach the temperature of the relatively warm ocean water below the ice. The resulting increases in air temperature, water vapor and cloudiness lead to an increase in the surface downwelling longwave radiation, which enables a further thinning of the ice. This positive ice-insulation feedback operates mainly in the autumn and winter. A climate-change simulation with the Community Earth System Model shows that, averaged over the year, the increase in <span class="hlt">Arctic</span> DLR is three times stronger than the increase in <span class="hlt">Arctic</span> absorbed solar radiation at the surface. The warming of the surface air over the <span class="hlt">Arctic</span> Ocean during fall and winter creates a strong thermal contrast with the colder surrounding continents. <span class="hlt">Sea</span>-level pressure falls over the <span class="hlt">Arctic</span> Ocean and the high-latitude circulation reorganizes into a shallow "winter monsoon." The resulting increase in surface wind speed promotes stronger surface evaporation and higher humidity over portions of the <span class="hlt">Arctic</span> Ocean, thus reinforcing the ice-insulation feedback</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27812435','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27812435"><span>Loitering of the retreating <span class="hlt">sea</span> ice edge in the <span class="hlt">Arctic</span> <span class="hlt">Seas</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Steele, Michael; Ermold, Wendy</p> <p>2015-12-01</p> <p>Each year, the <span class="hlt">arctic</span> <span class="hlt">sea</span> ice edge retreats from its winter maximum extent through the Seasonal Ice Zone (SIZ) to its summer minimum extent. On some days, this retreat happens at a rapid pace, while on other days, parts of the pan-<span class="hlt">arctic</span> ice edge hardly move for periods of days up to 1.5 weeks. We term this stationary behavior "ice edge loitering," and identify areas that are more prone to loitering than others. Generally, about 20-25% of the SIZ area experiences loitering, most often only one time at any one location during the retreat season, but sometimes two or more times. The main mechanism controlling loitering is an interaction between surface winds and warm <span class="hlt">sea</span> surface temperatures in areas from which the ice has already retreated. When retreat happens early enough to allow atmospheric warming of this open water, winds that force ice floes into this water cause melting. Thus, while individual ice floes are moving, the ice edge as a whole appears to loiter. The time scale of loitering is then naturally tied to the synoptic time scale of wind forcing. Perhaps surprisingly, the area of loitering in the <span class="hlt">arctic</span> <span class="hlt">seas</span> has not changed over the past 25 years, even as the SIZ area has grown. This is because rapid ice retreat happens most commonly late in the summer, when atmospheric warming of open water is weak. We speculate that loitering may have profound effects on both physical and biological conditions at the ice edge during the retreat season.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5046916','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5046916"><span>The role of <span class="hlt">sea</span> ice for vascular plant dispersal in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Ehrich, Dorothee; Bennike, Ole; Geirsdottir, Aslaug</p> <p>2016-01-01</p> <p><span class="hlt">Sea</span> ice has been suggested to be an important factor for dispersal of vascular plants in the <span class="hlt">Arctic</span>. To assess its role for postglacial colonization in the North Atlantic region, we compiled data on the first Late Glacial to Holocene occurrence of vascular plant species in East Greenland, Iceland, the Faroe Islands and Svalbard. For each record, we reconstructed likely past dispersal events using data on species distributions and genetics. We compared these data to <span class="hlt">sea</span>-ice reconstructions to evaluate the potential role of <span class="hlt">sea</span> ice in these past colonization events and finally evaluated these results using a compilation of driftwood records as an independent source of evidence that <span class="hlt">sea</span> ice can disperse biological material. Our results show that <span class="hlt">sea</span> ice was, in general, more prevalent along the most likely dispersal routes at times of assumed first colonization than along other possible routes. Also, driftwood is frequently dispersed in regions that have <span class="hlt">sea</span> ice today. Thus, <span class="hlt">sea</span> ice may act as an important dispersal agent. Melting <span class="hlt">sea</span> ice may hamper future dispersal of <span class="hlt">Arctic</span> plants and thereby cause more genetic differentiation. It may also limit the northwards expansion of competing boreal species, and hence favour the persistence of <span class="hlt">Arctic</span> species. PMID:27651529</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMGC11A0540O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMGC11A0540O"><span>Impacts of Organic Macromolecules, Chlorophyll and Soot on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ogunro, O. O.; Wingenter, O. W.; Elliott, S.; Flanner, M.; Dubey, M. K.</p> <p>2014-12-01</p> <p>Recent intensification of <span class="hlt">Arctic</span> amplification can be strongly connected to positive feedback relating black carbon deposition to <span class="hlt">sea</span> ice surface albedo. In addition to soot deposition on the ice and snow pack, ice algal chlorophyll is likely to compete as an absorber and redistributor of energy. Hence, solar radiation absorption by chlorophyll and some components of organic macromolecules in/under the ice column is currently being examined to determine the level of influence on predicted rate of ice loss. High amounts of organic macromolecules and chlorophyll are produced in global <span class="hlt">sea</span> ice by the bottom microbial community and also in vertically distributed layers where substantial biological activities take place. Brine channeling in columnar ice can allow for upward flow of nutrients which leads to greater primary production in the presence of moderate light. Modeling of the <span class="hlt">sea</span>-ice processes in tandem with experiments and field observations promises rapid progress in enhancing <span class="hlt">Arctic</span> ice predictions. We are designing and conducting global climate model experiments to determine the impact of organic macromolecules and chlorophyll on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. Influences on brine network permeability and radiation/albedo will be considered in this exercise. Absorption by anthropogenic materials such as soot and black carbon will be compared with that of natural pigments. We will indicate areas of soot and biological absorption dominance in the sense of single scattering, then couple into a full radiation transfer scheme to attribute the various contributions to polar climate change amplification. The work prepares us to study more traditional issues such as chlorophyll warming of the pack periphery and chemical effects of the flow of organics from ice internal communities. The experiments started in the <span class="hlt">Arctic</span> will broaden to include Antarctic <span class="hlt">sea</span> ice and shelves. Results from the <span class="hlt">Arctic</span> simulations will be presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030056665&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3DParkinsons','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030056665&hterms=Parkinsons&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3DParkinsons"><span>30-Year Satellite Record Reveals Accelerated <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Loss, Antarctic <span class="hlt">Sea</span> Ice Trend Reversal</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cavalieri, Donald J.; Parkinson, C. L.; Vinnikov, K. Y.</p> <p>2003-01-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent decreased by 0.30 plus or minus 0.03 x 10(exp 6) square kilometers per decade from 1972 through 2002, but decreased by 0.36 plus or minus 0.05 x 10(exp 6) square kilometers per decade from 1979 through 2002, indicating an acceleration of 20% in the rate of decrease. In contrast to the <span class="hlt">Arctic</span>, the Antarctic <span class="hlt">sea</span> ice extent decreased dramatically over the period 1973-1977, then gradually increased, with an overall 30-year trend of -0.15 plus or minus 0.08 x 10(exp 6) square kilometers per 10yr. The trend reversal is attributed to a large positive anomaly in Antarctic <span class="hlt">sea</span> ice extent observed in the early 1970's.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000220.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000220.html"><span>Polar Bears Across the <span class="hlt">Arctic</span> Face Shorter <span class="hlt">Sea</span> Ice Season</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p>Polar bears already face shorter ice seasons - limiting prime hunting and breeding opportunities. Nineteen separate polar bear subpopulations live throughout the <span class="hlt">Arctic</span>, spending their winters and springs roaming on <span class="hlt">sea</span> ice and hunting. The bears have evolved mainly to eat seals, which provide necessary fats and nutrients in the harsh <span class="hlt">Arctic</span> environment. Polar bears can't outswim their prey, so instead they perch on the ice as a platform and ambush seals at breathing holes or break through the ice to access their dens. The total number of ice-covered days declined at the rate of seven to 19 days per decade between 1979 and 2014. The decline was even greater in the Barents <span class="hlt">Sea</span> and the <span class="hlt">Arctic</span> basin. <span class="hlt">Sea</span> ice concentration during the summer months — an important measure because summertime is when some subpopulations are forced to fast on land — also declined in all regions, by 1 percent to 9 percent per decade. Read more: go.nasa.gov/2cIZSSc Photo credit: Mario Hoppmann</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19870015437','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19870015437"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice, 1973-1976: Satellite passive-microwave observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.; Comiso, Josefino C.; Zwally, H. Jay; Cavalieri, Donald J.; Gloersen, Per; Campbell, William J.</p> <p>1987-01-01</p> <p>The <span class="hlt">Arctic</span> region plays a key role in the climate of the earth. The <span class="hlt">sea</span> ice cover affects the radiative balance of the earth and radically changes the fluxes of heat between the atmosphere and the ocean. The observations of the <span class="hlt">Arctic</span> made by the Electrically Scanning Microwave Radiometer (ESMR) on board the Nimbus 5 research satellite are summarized for the period 1973 through 1976.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFM.U24B..02O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFM.U24B..02O"><span>Summer 2007 and 2008 <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Loss in Context: OUTLOOK 2008</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Overland, J. E.; Eicken, H.; Wiggins, H. V.</p> <p>2008-12-01</p> <p>The <span class="hlt">Arctic</span> is changing faster than the publication cycle for new information. In response, the SEARCH and DAMOCLES Programs initiated an OUTLOOK 2008 to provide broad-based communication and assessment within the <span class="hlt">arctic</span> science community on the causes of rapid summer <span class="hlt">sea</span> ice loss, synthesizing information from <span class="hlt">Arctic</span> observing networks and model simulations. The question for summer 2008 was whether the previous loss of multi-year <span class="hlt">sea</span> ice and delay in <span class="hlt">sea</span> ice formation in autumn 2007 would still allow sufficient winter growth of <span class="hlt">sea</span> ice thickness to last through the summer 2008, potentially allowing for recovery from the 2007 minimum. The answer is no; summer 2008 was a second sequential year of extremely low minimum <span class="hlt">sea</span> ice extent. To organize OUTLOOK 2008, respondents were asked in May, June and July to provide a rationale and semi-quantitative assessment of <span class="hlt">arctic</span> <span class="hlt">sea</span> ice extent anticipated for September 2008. OUTLOOK 2008 supplemented information maintained by ice centers, universities and other data providers. Using a range of methods, all of the approximately 20 groups responded that summer <span class="hlt">sea</span> ice would not return to climatological mean conditions, with a median response near the 2007 extent. The range of responses depended on the relative weight given to "initial conditions," e.g., age and thickness of <span class="hlt">sea</span> ice at the end of spring, versus whether summer winds in 2008 would be as supportive for ice loss as in 2007. Initial conditions turned out to be a primary factor for summer 2008, with implications for continued <span class="hlt">sea</span> ice loss in future years. OUTLOOK 2008 highlighted aspects of the observation and modeling efforts that require further attention such as interpretation of summer microwave signatures, in situ buoy measurements, and data assimilation in models. We appreciate the contributions from respondents and reviewers who made OUTLOOK 2008 a success.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70017680','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70017680"><span>Contrasts in <span class="hlt">Arctic</span> shelf <span class="hlt">sea</span>-ice regimes and some implications: Beaufort <span class="hlt">Sea</span> versus Laptev <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Reimnitz, E.; Dethleff, D.; Nurnberg, D.</p> <p>1994-01-01</p> <p>The winter ice-regime of the 500 km) from the mainland than in the Beaufort <span class="hlt">Sea</span>. As a result, the annual freeze-up does not incorporate old, deep-draft ice, and with a lack of compression, such deep-draft ice is not generated in situ, as on the Beaufort <span class="hlt">Sea</span> shelf. The Laptev <span class="hlt">Sea</span> has as much as 1000 km of fetch at the end of summer, when freezing storms move in and large (6 m) waves can form. Also, for the first three winter months, the polynya lies inshore at a water depth of only 10 m. Turbulence and freezing are excellent conditions for sediment entrainment by frazil and anchor ice, when compared to conditions in the short-fetched Beaufort <span class="hlt">Sea</span>. We expect entrainment to occur yearly. Different from the intensely ice-gouged Beaufort <span class="hlt">Sea</span> shelf, hydraulic bedforms probably dominate in the Laptev <span class="hlt">Sea</span>. Corresponding with the large volume of ice produced, more dense water is generated in the Laptev <span class="hlt">Sea</span>, possibly accompanied by downslope sediment transport. Thermohaline convection at the midshelf polynya, together with the reduced rate of bottom disruption by ice keels, may enhance benthic productivity and permit establishment of open-shelf benthic communities which in the Beaufort <span class="hlt">Sea</span> can thrive only in the protection of barrier islands. Indirect evidence for high benthic productivity is found in the presence of walrus, who also require year-round open water. By contrast, lack of a suitable environment restricts walrus from the Beaufort <span class="hlt">Sea</span>, although over 700 km farther to the south. We could speculate on other consequences of the different ice regimes in the Beaufort and Laptev <span class="hlt">Seas</span>, but these few examples serve to point out the dangers of exptrapolating from knowledge gained in the North American <span class="hlt">Arctic</span> to other shallow <span class="hlt">Arctic</span> shelf settings. ?? 1994.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014EGUGA..16.7084M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014EGUGA..16.7084M"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and recent extreme cold winter in Eurasia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mori, Masato; Watanabe, Masahiro; Ishii, Masayoshi; Kimoto, Masahide</p> <p>2014-05-01</p> <p>Extreme cold winter over the Eurasia has occurred more frequently in recent years. Observational evidence in recent studies shows that the wintertime cold anomalies over the Eurasia are associated with decline of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in preceding autumn to winter season. However, the tropical and/or mid-latitude <span class="hlt">sea</span> surface temperature (SST) anomalies have great influence on the mid- and high-latitude atmospheric variability, it is difficult to isolate completely the impacts of <span class="hlt">sea</span> ice change from observational data. In this study, we examine possible linkage between the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and the extreme cold winter over the Eurasia using a state-of-the-art MIROC4 (T106L56) atmospheric general circulation model (AGCM) to assess the pure atmospheric responses to <span class="hlt">sea</span> ice reduction. We perform two sets of experiments with different realistic <span class="hlt">sea</span> ice boundary conditions calculated by composite of observed <span class="hlt">sea</span> ice concentration; one is reduced <span class="hlt">sea</span> ice extent case (referred to as LICE run) and another is enhanced case (HICE run). In both experiments, the model is integrated 6-month from September to February with 100-member ensemble under the climatological SST boundary condition. The difference in ensemble mean of each experiment (LICE minus HICE) shows cold anomalies over the Eurasia in winter and its spatial pattern is very similar to corresponding observation, though the magnitude is smaller than observation. This result indicates that a part of observed cold anomaly can be attributed to the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss. We would like to introduce more important results and mechanisms in detail in my presentation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A42C..05D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A42C..05D"><span><span class="hlt">Arctic</span> spring ozone reduction associated with projected <span class="hlt">sea</span> ice loss</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Deser, C.; Sun, L.; Tomas, R. A.; Polvani, L. M.</p> <p>2013-12-01</p> <p>The impact of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss on the stratosphere is investigated using the Whole-Atmosphere Community Climate Model (WACCM), by prescribing the <span class="hlt">sea</span> ice in the late 20th century and late 21st century, respectively. The localized <span class="hlt">Sea</span> Surface Temperature (SST) change associated with <span class="hlt">sea</span> ice melt is also included in the future run. Overall, the model simulates a negative annular-mode response in the winter and spring. In the stratosphere, polar vortex strengthens from February to April, peaking in March. Consistent with it, there is an anomalous cooling in the high-latitude stratosphere, and polar cap ozone reduction is up to 20 DU. Since the difference between these two runs lies only in the <span class="hlt">sea</span> ice and localized SST in the <span class="hlt">Arctic</span>, the stratospheric circulation and ozone changes can be attributed to the surface forcing. Eliassen-Palm analysis reveals that the upward propagation of planetary waves is suppressed in the spring as a consequence of <span class="hlt">sea</span> ice loss. The reduction in propagation causes less wave dissipation and thus less zonal wind deceleration in the extratropical stratosphere.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70012715','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70012715"><span>Time-dependence of <span class="hlt">sea</span>-ice concentration and multiyear ice fraction in the <span class="hlt">Arctic</span> Basin</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Gloersen, P.; Zwally, H.J.; Chang, A.T.C.; Hall, D.K.; Campbell, W.J.; Ramseier, R.O.</p> <p>1978-01-01</p> <p>The time variation of the <span class="hlt">sea</span>-ice concentration and multiyear ice fraction within the pack ice in the <span class="hlt">Arctic</span> Basin is examined, using microwave images of <span class="hlt">sea</span> ice recently acquired by the Nimbus-5 spacecraft and the NASA CV-990 airborne laboratory. The images used for these studies were constructed from data acquired from the Electrically Scanned Microwave Radiometer (ESMR) which records radiation from earth and its atmosphere at a wavelength of 1.55 cm. Data are analyzed for four seasons during 1973-1975 to illustrate some basic differences in the properties of the <span class="hlt">sea</span> ice during those times. Spacecraft data are compared with corresponding NASA CV-990 airborne laboratory data obtained over wide areas in the <span class="hlt">Arctic</span> Basin during the Main <span class="hlt">Arctic</span> Ice Dynamics Joint Experiment (1975) to illustrate the applicability of passive-microwave remote sensing for monitoring the time dependence of <span class="hlt">sea</span>-ice concentration (divergence). These observations indicate significant variations in the <span class="hlt">sea</span>-ice concentration in the spring, late fall and early winter. In addition, deep in the interior of the <span class="hlt">Arctic</span> polar <span class="hlt">sea</span>-ice pack, heretofore unobserved large areas, several hundred kilometers in extent, of <span class="hlt">sea</span>-ice concentrations as low as 50% are indicated. ?? 1978 D. Reidel Publishing Company.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017OcSci..13..379B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017OcSci..13..379B"><span>The Coastal Observing System for Northern and <span class="hlt">Arctic</span> <span class="hlt">Seas</span> (COSYNA)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Baschek, Burkard; Schroeder, Friedhelm; Brix, Holger; Riethmüller, Rolf; Badewien, Thomas H.; Breitbach, Gisbert; Brügge, Bernd; Colijn, Franciscus; Doerffer, Roland; Eschenbach, Christiane; Friedrich, Jana; Fischer, Philipp; Garthe, Stefan; Horstmann, Jochen; Krasemann, Hajo; Metfies, Katja; Merckelbach, Lucas; Ohle, Nino; Petersen, Wilhelm; Pröfrock, Daniel; Röttgers, Rüdiger; Schlüter, Michael; Schulz, Jan; Schulz-Stellenfleth, Johannes; Stanev, Emil; Staneva, Joanna; Winter, Christian; Wirtz, Kai; Wollschläger, Jochen; Zielinski, Oliver; Ziemer, Friedwart</p> <p>2017-05-01</p> <p>The Coastal Observing System for Northern and <span class="hlt">Arctic</span> <span class="hlt">Seas</span> (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern <span class="hlt">seas</span> and the <span class="hlt">Arctic</span> coasts in a changing environment. Particular focus is given to the German Bight in the North <span class="hlt">Sea</span> as a prime example of a heavily used coastal area, and Svalbard as an example of an <span class="hlt">Arctic</span> coast that is under strong pressure due to global change.The COSYNA automated observing and modelling system is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to help assess the impact of anthropogenically induced change. Observations are carried out by combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instruments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal <span class="hlt">seas</span>. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational system providing descriptions and forecasts of key hydrographic variables. Data and data products are publicly available free of charge and in real time. They are used by multiple interest groups in science, agencies, politics, industry, and the public.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A53B0292W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A53B0292W"><span>Suppressed mid-latitude summer atmospheric warming by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss during 1979-2012</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wu, Q.</p> <p>2016-12-01</p> <p>Since the 1980s, rapid <span class="hlt">Arctic</span> warming, <span class="hlt">sea</span> ice decline, and weakening summer circulation have coincided with an increasing number of extreme heatwaves and other destructive weather events in the Northern Hemisphere (NH) mid-latitudes in summer. Recent papers disagree about whether such high-impact events are related to <span class="hlt">Arctic</span> warming and/or ice loss. Here we use atmospheric model ensemble simulations to attribute effects of <span class="hlt">sea</span> ice loss and other factors on observed summer climate trends during 1979-2012. The ongoing greenhouse gas buildup and resulting <span class="hlt">sea</span> surface temperature (SST) warming outside the <span class="hlt">Arctic</span> explains nearly all land warming and a significant portion of observed weakening zonal winds in the NH mid-latitudes. However, <span class="hlt">sea</span> ice loss has induced a negative <span class="hlt">Arctic</span> Oscillation (AO)-type circulation with significant summer surface and tropospheric cooling trends over large portions of the NH mid-latitudes, which reduce the warming and might reduce the probability of regional severe hot summers.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_15 --> <div id="page_16" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="301"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ClDy..tmp.2436B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ClDy..tmp.2436B"><span>Regional <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice prediction: potential versus operational seasonal forecast skill</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bushuk, Mitchell; Msadek, Rym; Winton, Michael; Vecchi, Gabriel; Yang, Xiaosong; Rosati, Anthony; Gudgel, Rich</p> <p>2018-06-01</p> <p>Seasonal predictions of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice on regional spatial scales are a pressing need for a broad group of stakeholders, however, most assessments of predictability and forecast skill to date have focused on pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent (SIE). In this work, we present the first direct comparison of perfect model (PM) and operational (OP) seasonal prediction skill for regional <span class="hlt">Arctic</span> SIE within a common dynamical prediction system. This assessment is based on two complementary suites of seasonal prediction ensemble experiments performed with a global coupled climate model. First, we present a suite of PM predictability experiments with start dates spanning the calendar year, which are used to quantify the potential regional SIE prediction skill of this system. Second, we assess the system's OP prediction skill for detrended regional SIE using a suite of retrospective initialized seasonal forecasts spanning 1981-2016. In nearly all <span class="hlt">Arctic</span> regions and for all target months, we find a substantial skill gap between PM and OP predictions of regional SIE. The PM experiments reveal that regional winter SIE is potentially predictable at lead times beyond 12 months, substantially longer than the skill of their OP counterparts. Both the OP and PM predictions display a spring prediction skill barrier for regional summer SIE forecasts, indicating a fundamental predictability limit for summer regional predictions. We find that a similar barrier exists for pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice volume predictions, but is not present for predictions of pan-<span class="hlt">Arctic</span> SIE. The skill gap identified in this work indicates a promising potential for future improvements in regional SIE predictions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.C21B0343L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.C21B0343L"><span>Estimation of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Freeboard and Thickness Using CryoSat-2</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, S.; Im, J.; Kim, J. W.; Kim, M.; Shin, M.</p> <p>2014-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is one of the significant components of the global climate system as it plays a significant role in driving global ocean circulation. <span class="hlt">Sea</span> ice extent has constantly declined since 1980s. <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness has also been diminishing along with the decreasing <span class="hlt">sea</span> ice extent. Because extent and thickness, two main characteristics of <span class="hlt">sea</span> ice, are important indicators of the polar response to on-going climate change. <span class="hlt">Sea</span> ice thickness has been measured with numerous field techniques such as surface drilling and deploying buoys. These techniques provide sparse and discontinuous data in spatiotemporal domain. Spaceborne radar and laser altimeters can overcome these limitations and have been used to estimate <span class="hlt">sea</span> ice thickness. Ice Cloud and land Elevation Satellite (ICEsat), a laser altimeter provided data to detect polar area elevation change between 2003 and 2009. CryoSat-2 launched with Synthetic Aperture Radar (SAR)/Interferometric Radar Altimeter (SIRAL) in April 2010 can provide data to estimate time-series of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness. In this study, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice freeboard and thickness between 2011 and 2014 were estimated using CryoSat-2 SAR and SARIn mode data that have <span class="hlt">sea</span> ice surface height relative to the reference ellipsoid WGS84. In order to estimate <span class="hlt">sea</span> ice thickness, freeboard, i.e., elevation difference between the top of <span class="hlt">sea</span> ice surface should be calculated. Freeboard can be estimated through detecting leads. We proposed a novel lead detection approach. CryoSat-2 profiles such as pulse peakiness, backscatter sigma-0, stack standard deviation, skewness and kurtosis were examined to distinguish leads from <span class="hlt">sea</span> ice. Near-real time cloud-free MODIS images corresponding to CryoSat-2 data measured were used to visually identify leads. Rule-based machine learning approaches such as See5.0 and random forest were used to identify leads. The proposed lead detection approach better distinguished leads from <span class="hlt">sea</span> ice than the existing approaches</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015BGD....1218661S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015BGD....1218661S"><span>Distribution of <span class="hlt">Arctic</span> and Pacific copepods and their habitat in the northern Bering <span class="hlt">Sea</span> and Chukchi <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sasaki, H.; Matsuno, K.; Fujiwara, A.; Onuka, M.; Yamaguchi, A.; Ueno, H.; Watanuki, Y.; Kikuchi, T.</p> <p>2015-11-01</p> <p>The advection of warm Pacific water and the reduction of <span class="hlt">sea</span>-ice extent in the western <span class="hlt">Arctic</span> Ocean may influence the abundance and distribution of copepods, i.e., a key component in food webs. To understand the factors affecting abundance of copepods in the northern Bering <span class="hlt">Sea</span> and Chukchi <span class="hlt">Sea</span>, we constructed habitat models explaining the spatial patterns of the large and small <span class="hlt">Arctic</span> copepods and the Pacific copepods, separately, using generalized additive models. Copepods were sampled by NORPAC net. Vertical profiles of density, temperature and salinity in the seawater were measured using CTD, and concentration of chlorophyll a in seawater was measured with a fluorometer. The timing of <span class="hlt">sea</span>-ice retreat was determined using the satellite image. To quantify the structure of water masses, the magnitude of pycnocline and averaged density, temperature and salinity in upper and bottom layers were scored along three axes using principal component analysis (PCA). The structures of water masses indexed by the scores of PCAs were selected as explanatory variables in the best models. Large <span class="hlt">Arctic</span> copepods were abundant in the water mass with high salinity water in bottom layer or with cold/low salinity water in upper layer and cold/high salinity water in bottom layer, and small <span class="hlt">Arctic</span> copepods were abundant in the water mass with warm/saline water in upper layer and cold/high salinity water in bottom layers, while Pacific copepods were abundant in the water mass with warm/saline in upper layer and cold/high salinity water in bottom layer. All copepod groups were abundant in areas with deeper depth. Although chlorophyll a in upper and bottom layers were selected as explanatory variables in the best models, apparent trends were not observed. All copepod groups were abundant where the <span class="hlt">sea</span>-ice retreated at earlier timing. Our study might indicate potential positive effects of the reduction of <span class="hlt">sea</span>-ice extent on the distribution of all groups of copepods in the <span class="hlt">Arctic</span> Ocean.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1990DSRA...37.1475B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1990DSRA...37.1475B"><span><span class="hlt">Arctic</span> intermediate water in the Norwegian <span class="hlt">sea</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Blindheim, Johan</p> <p>1990-09-01</p> <p>At least two types of intermediate water propagate into the Norwegian <span class="hlt">Sea</span> from the Iceland and Greenland <span class="hlt">seas</span>. North Icelandic Winter Water flows along the slope of the Faroe-Iceland Ridge towards the Faroes. The distribution of this intermediate water is limited to the southern Norwegian <span class="hlt">Sea</span>. The second type intrudes between the bottom water and the Atlantic Water, and can be traced as a slight salinity minimum of the entire area of the Norwegian <span class="hlt">Sea</span>. There seems to be along-isopycnal advection of this water type along the <span class="hlt">Arctic</span> Front from both the Iceland and Greenland <span class="hlt">Seas</span>. Although the salinity minimum is less distinct along the slope of the continental shelf than in the western Norwegian <span class="hlt">Sea</span>, this intermediate water separates the deep water and the Atlantic Water, and prohibits direct mixing of these two water masses.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.C42B..02D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.C42B..02D"><span>Will <span class="hlt">sea</span> ice thickness initialisation improve <span class="hlt">Arctic</span> seasonal-to-interannual forecast skill?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Day, J. J.; Hawkins, E.; Tietsche, S.</p> <p>2014-12-01</p> <p>A number of recent studies have suggested that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness is an important predictor of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent. However, coupled forecast systems do not currently use <span class="hlt">sea</span> ice thickness observations in their initialization and are therefore missing a potentially important source of additional skill. A set of ensemble potential predictability experiments, with a global climate model, initialized with and without knowledge of the <span class="hlt">sea</span> ice thickness initial state, have been run to investigate this. These experiments show that accurate knowledge of the <span class="hlt">sea</span> ice thickness field is crucially important for <span class="hlt">sea</span> ice concentration and extent forecasts up to eight months ahead. Perturbing <span class="hlt">sea</span> ice thickness also has a significant impact on the forecast error in the 2m temperature and surface pressure fields a few months ahead. These results show that advancing capabilities to observe and assimilate <span class="hlt">sea</span> ice thickness into coupled forecast systems could significantly increase skill.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.C11B0377L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.C11B0377L"><span>The melting <span class="hlt">sea</span> ice of <span class="hlt">Arctic</span> polar cap in the summer solstice month and the role of ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lee, S.; Yi, Y.</p> <p>2014-12-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is becoming smaller and thinner than climatological standard normal and more fragmented in the early summer. We investigated the widely changing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using the daily <span class="hlt">sea</span> ice concentration data. <span class="hlt">Sea</span> ice data is generated from brightness temperature data derived from the sensors: Defense Meteorological Satellite Program (DMSP)-F13 Special Sensor Microwave/Imagers (SSM/Is), the DMSP-F17 Special Sensor Microwave Imager/Sounder (SSMIS) and the Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA Earth Observing System (EOS) Aqua satellite. We tried to figure out appearance of <span class="hlt">arctic</span> <span class="hlt">sea</span> ice melting region of polar cap from the data of passive microwave sensors. It is hard to explain polar <span class="hlt">sea</span> ice melting only by atmosphere effects like surface air temperature or wind. Thus, our hypothesis explaining this phenomenon is that the heat from deep undersea in <span class="hlt">Arctic</span> Ocean ridges and the hydrothermal vents might be contributing to the melting of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.C41B0701R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.C41B0701R"><span>The Relationship Between <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Albedo and the Geophysical Parameters of the Ice Cover</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Riihelä, A.</p> <p>2015-12-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is thinning and retreating. Remote sensing observations have also shown that the mean albedo of the remaining ice cover is decreasing on decadal time scales, albeit with significant annual variability (Riihelä et al., 2013, Pistone et al., 2014). Attribution of the albedo decrease between its different drivers, such as decreasing ice concentration and enhanced surface melt of the ice, remains an important research question for the forecasting of future conditions of the ice cover. A necessary step towards this goal is understanding the relationships between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice albedo and the geophysical parameters of the ice cover. Particularly the question of the relationship between <span class="hlt">sea</span> ice albedo and ice age is both interesting and not widely studied. The recent changes in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice zone have led to a substantial decrease of its multi-year <span class="hlt">sea</span> ice, as old ice melts and is replaced by first-year ice during the next freezing season. It is generally known that younger <span class="hlt">sea</span> ice tends to have a lower albedo than older ice because of several reasons, such as wetter snow cover and enhanced melt ponding. However, the quantitative correlation between <span class="hlt">sea</span> ice age and <span class="hlt">sea</span> ice albedo has not been extensively studied to date, excepting in-situ measurement based studies which are, by necessity, focused on a limited area of the <span class="hlt">Arctic</span> Ocean (Perovich and Polashenski, 2012).In this study, I analyze the dependencies of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice albedo relative to the geophysical parameters of the ice field. I use remote sensing datasets such as the CM SAF CLARA-A1 (Karlsson et al., 2013) and the NASA MeaSUREs (Anderson et al., 2014) as data sources for the analysis. The studied period is 1982-2009. The datasets are spatiotemporally collocated and analysed. The changes in <span class="hlt">sea</span> ice albedo as a function of <span class="hlt">sea</span> ice age are presented for the whole <span class="hlt">Arctic</span> Ocean and for potentially interesting marginal <span class="hlt">sea</span> cases. This allows us to see if the the albedo of the older <span class="hlt">sea</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C21D0685B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C21D0685B"><span>Influence of the <span class="hlt">sea</span>-ice edge on the <span class="hlt">Arctic</span> nearshore environment</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Barnhart, K. R.; Overeem, I.; Anderson, R. S.</p> <p>2013-12-01</p> <p>Coasts form the dynamic interface of the terrestrial and oceanic systems. In the <span class="hlt">Arctic</span>, and in much of the world, the coast is a zone of relatively high population, infrastructure, biodiversity, and ecosystem services. A significant difference between <span class="hlt">Arctic</span> and temperate coasts is the presence of <span class="hlt">sea</span> ice. <span class="hlt">Sea</span> ice influences <span class="hlt">Arctic</span> coasts in two main ways: (1) the length of the <span class="hlt">sea</span> ice-free season controls the length of time over which nearshore water can interact with the land, and (2) the <span class="hlt">sea</span> ice edge controls the fetch over which storm winds can blow over open water, resulting in changes in nearshore water level and wave field. The resulting nearshore hydrodynamic environment impacts all aspects of the coastal system. Here, we use satellite records of <span class="hlt">sea</span> ice along with a simple model for wind-driven storm surge and waves to document how changes in the length and character of the <span class="hlt">sea</span> ice-free season have impacted the nearshore hydrodynamic environment. For our <span class="hlt">sea</span> ice analysis we primarily use the Bootstrap <span class="hlt">Sea</span> Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS. We make whole-<span class="hlt">Arctic</span> maps of <span class="hlt">sea</span> ice change in the coastal zone. In addition to evaluating changes in length of the <span class="hlt">sea</span> ice-free season at the coast, we look at changes segmented by azimuth. This allows us to consider changes in the <span class="hlt">sea</span> ice in the context of the wind field. For our storm surge and wave field analysis we focus on the Beaufort <span class="hlt">Sea</span> region. This region has experienced some of the greatest changes in both <span class="hlt">sea</span> ice cover and coastal erosion rates in the <span class="hlt">Arctic</span> and is anticipated to experience significant change in the future. In addition, the NOAA ESRL GMD has observed the wind field at Barrow since extends to 1977. In our past work on the rapid and accelerating coastal erosion, we have shown that one may model storm surge with a 2D numerical bathystrophic model, and that waves are well represented by the Shore Protection Manual methods for shallow-water fetch-limited waves. We use</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/572256-box-model-radionuclide-dispersion-radiation-risk-estimation-population-case-radioactivity-release-from-nuclear-submarine-number_sign-dumped-kara-sea','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/572256-box-model-radionuclide-dispersion-radiation-risk-estimation-population-case-radioactivity-release-from-nuclear-submarine-number_sign-dumped-kara-sea"><span>Box model of radionuclide dispersion and radiation risk estimation for population in case of radioactivity release from nuclear submarine {number_sign}601 dumped in the <span class="hlt">Kara</span> <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Yefimov, E.I.; Pankratov, D.V.; Ignatiev, S.V.</p> <p>1997-12-31</p> <p>When ships with nuclear reactors or nuclear materials aboard suffer shipwreck or in the case of burial or dumping of radioactive wastes, atmospheric fallout, etc., radionuclides may be released and spread in the <span class="hlt">sea</span>, contaminating the <span class="hlt">sea</span> water and the <span class="hlt">sea</span> bottom. When a nuclear submarine (NS) is dumped this spread of activity may occur due to gradual core destruction by corrosion over many years. The objective of this paper is to develop a mathematical model of radionuclide dispersion and to assess the population dose and radiation risk for radionuclide release from the NS No. 601, with Pb-Bi coolant thatmore » was dumped in the <span class="hlt">Kara</span> <span class="hlt">Sea</span>.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11D..02K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11D..02K"><span>How robust is the atmospheric circulation response to <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss in isolation?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kushner, P. J.; Hay, S. E.; Blackport, R.; McCusker, K. E.; Oudar, T.</p> <p>2017-12-01</p> <p>It is now apparent that active dynamical coupling between the ocean and atmosphere determines a good deal of how <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss changes the large-scale atmospheric circulation. In coupled ocean-atmosphere models, <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss indirectly induces a 'mini' global warming and circulation changes that extend into the tropics and the Southern Hemisphere. Ocean-atmosphere coupling also amplifies by about 50% <span class="hlt">Arctic</span> free-tropospheric warming arising from <span class="hlt">sea</span>-ice loss (Deser et al. 2015, 2016). The mechanisms at work and how to separate the response to <span class="hlt">sea</span>-ice loss from the rest of the global warming process remain poorly understood. Different studies have used distinctive numerical approaches and coupled ocean-atmosphere models to address this problem. We put these studies on comparable footing using pattern scaling (Blackport and Kushner 2017) to separately estimate the part of the circulation response that scales with <span class="hlt">sea</span>-ice loss in the absence of low-latitude warming from the part that scales with low-latitude warming in the absence of <span class="hlt">sea</span>-ice loss. We consider well-sampled simulations from three different coupled ocean-atmosphere models (CESM1, CanESM2, CNRM-CM5), in which greenhouse warming and <span class="hlt">sea</span>-ice loss are driven in different ways (<span class="hlt">sea</span> ice albedo reduction/transient RCP8.5 forcing for CESM1, nudged <span class="hlt">sea</span> ice/CO2 doubling for CanESM2, heat-flux forcing/constant RCP8.5-derived forcing for CNRM-CM5). Across these different simulations, surprisingly robust influences of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice loss on atmospheric circulation can be diagnosed using pattern scaling. For boreal winter, the isolated <span class="hlt">sea</span>-ice loss effect acts to increase warming in the North American Sub-<span class="hlt">Arctic</span>, decrease warming of the Eurasian continent, enhance precipitation over the west coast of North America, and strengthen the Aleutian Low and the Siberian High. We will also discuss how <span class="hlt">Arctic</span> free tropospheric warming might be enhanced via midlatitude ocean surface warming induced by <span class="hlt">sea</span>-ice loss</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17874769','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17874769"><span>Air-<span class="hlt">sea</span> exchange fluxes of synthetic polycyclic musks in the North <span class="hlt">Sea</span> and the <span class="hlt">Arctic</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Xie, Zhiyong; Ebinghaus, Ralf; Temme, Christian; Heemken, Olaf; Ruck, Wolfgang</p> <p>2007-08-15</p> <p>Synthetic polycyclic musk fragrances Galaxolide (HHCB) and Tonalide (AHTN) were measured simultaneously in air and seawater in the <span class="hlt">Arctic</span> and the North <span class="hlt">Sea</span> and in the rural air of northern Germany. Median concentrations of gas-phase HHCB and AHTN were 4 and 18 pg m(-3) in the <span class="hlt">Arctic</span>, 28 and 18 pg m(-3) in the North <span class="hlt">Sea</span>, and 71 and 21 pg m(-3) in northern Germany, respectively. Various ratios of HHCB/AHTN implied that HHCB is quickly removed by atmospheric degradation, while AHTN is relatively persistent in the atmosphere. Dissolved concentrations ranged from 12 to 2030 pg L(-1) for HHCB and from below the method detection limit (3 pg L(-1)) to 965 pg L(-1) for AHTN with median values of 59 and 23 pg L(-1), respectively. The medians of volatilization fluxes for HHCB and AHTN were 27.2 and 14.2 ng m(-2) day(-1) and the depositional fluxes were 5.9 and 3.3 ng m(-2) day(-1), respectively, indicating water-to-air volatilization is a significant process to eliminate HHCB and AHTN from the North <span class="hlt">Sea</span>. In the <span class="hlt">Arctic</span>, deposition fluxes dominated the air-<span class="hlt">sea</span> gas exchange of HHCB and AHTN, suggesting atmospheric input controls the levels of HHCB and AHTN in the polar region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5244362','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5244362"><span>Leads in <span class="hlt">Arctic</span> pack ice enable early phytoplankton blooms below snow-covered <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Assmy, Philipp; Fernández-Méndez, Mar; Duarte, Pedro; Meyer, Amelie; Randelhoff, Achim; Mundy, Christopher J.; Olsen, Lasse M.; Kauko, Hanna M.; Bailey, Allison; Chierici, Melissa; Cohen, Lana; Doulgeris, Anthony P.; Ehn, Jens K.; Fransson, Agneta; Gerland, Sebastian; Hop, Haakon; Hudson, Stephen R.; Hughes, Nick; Itkin, Polona; Johnsen, Geir; King, Jennifer A.; Koch, Boris P.; Koenig, Zoe; Kwasniewski, Slawomir; Laney, Samuel R.; Nicolaus, Marcel; Pavlov, Alexey K.; Polashenski, Christopher M.; Provost, Christine; Rösel, Anja; Sandbu, Marthe; Spreen, Gunnar; Smedsrud, Lars H.; Sundfjord, Arild; Taskjelle, Torbjørn; Tatarek, Agnieszka; Wiktor, Jozef; Wagner, Penelope M.; Wold, Anette; Steen, Harald; Granskog, Mats A.</p> <p>2017-01-01</p> <p>The <span class="hlt">Arctic</span> icescape is rapidly transforming from a thicker multiyear ice cover to a thinner and largely seasonal first-year ice cover with significant consequences for <span class="hlt">Arctic</span> primary production. One critical challenge is to understand how productivity will change within the next decades. Recent studies have reported extensive phytoplankton blooms beneath ponded <span class="hlt">sea</span> ice during summer, indicating that satellite-based <span class="hlt">Arctic</span> annual primary production estimates may be significantly underestimated. Here we present a unique time-series of a phytoplankton spring bloom observed beneath snow-covered <span class="hlt">Arctic</span> pack ice. The bloom, dominated by the haptophyte algae Phaeocystis pouchetii, caused near depletion of the surface nitrate inventory and a decline in dissolved inorganic carbon by 16 ± 6 g C m−2. Ocean circulation characteristics in the area indicated that the bloom developed in situ despite the snow-covered <span class="hlt">sea</span> ice. Leads in the dynamic ice cover provided added sunlight necessary to initiate and sustain the bloom. Phytoplankton blooms beneath snow-covered ice might become more common and widespread in the future <span class="hlt">Arctic</span> Ocean with frequent lead formation due to thinner and more dynamic <span class="hlt">sea</span> ice despite projected increases in high-<span class="hlt">Arctic</span> snowfall. This could alter productivity, marine food webs and carbon sequestration in the <span class="hlt">Arctic</span> Ocean. PMID:28102329</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70023584','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70023584"><span>Regional variations in provenance and abundance of ice-rafted clasts in <span class="hlt">Arctic</span> Ocean sediments: Implications for the configuration of late Quaternary oceanic and atmospheric circulation in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Phillips, R.L.; Grantz, A.</p> <p>2001-01-01</p> <p>The composition and distribution of ice-rafted glacial erratics in late Quaternary sediments define the major current systems of the <span class="hlt">Arctic</span> Ocean and identify two distinct continental sources for the erratics. In the southern Amerasia basin up to 70% of the erratics are dolostones and limestones (the Amerasia suite) that originated in the carbonate-rich Paleozoic terranes of the Canadian <span class="hlt">Arctic</span> Islands. These clasts reached the <span class="hlt">Arctic</span> Ocean in glaciers and were ice-rafted to the core sites in the clockwise Beaufort Gyre. The concentration of erratics decreases northward by 98% along the trend of the gyre from southeastern Canada basin to Makarov basin. The concentration of erratics then triples across the Makarov basin flank of Lomonosov Ridge and siltstone, sandstone and siliceous clasts become dominant in cores from the ridge and the Eurasia basin (the Eurasia suite). The bedrock source for the siltstone and sandstone clasts is uncertain, but bedrock distribution and the distribution of glaciation in northern Eurasia suggest the Taymyr Peninsula-<span class="hlt">Kara</span> <span class="hlt">Sea</span> regions. The pattern of clast distribution in the <span class="hlt">Arctic</span> Ocean sediments and the sharp northward decrease in concentration of clasts of Canadian <span class="hlt">Arctic</span> Island provenance in the Amerasia basin support the conclusion that the modem circulation pattern of the <span class="hlt">Arctic</span> Ocean, with the Beaufort Gyre dominant in the Amerasia basin and the Transpolar drift dominant in the Eurasia basin, has controlled both <span class="hlt">sea</span>-ice and glacial iceberg drift in the <span class="hlt">Arctic</span> Ocean during interglacial intervals since at least the late Pleistocene. The abruptness of the change in both clast composition and concentration on the Makarov basin flank of Lomonosov Ridge also suggests that the boundary between the Beaufort Gyre and the Transpolar Drift has been relatively stable during interglacials since that time. Because the Beaufort Gyre is wind-driven our data, in conjunction with the westerly directed orientation of sand dunes that formed during</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C11D..04L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C11D..04L"><span>The relationship between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and the Atlantic meridional overturning circulation in a warming climate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, W.; Fedorov, A. V.</p> <p>2017-12-01</p> <p>A recent study (Sevellec, Fedorov, Liu 2017, Nature Climate Change) has suggested that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline can lead to a slow-down of the Atlantic meridional overturning circulation (AMOC). Here, we build on this previous work and explore the relationship between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and the AMOC in climate models. We find that the current <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline can contribute about 40% to the AMOC weakening over the next 60 years. This effect is related to the warming and freshening of the upper ocean in the <span class="hlt">Arctic</span>, and the subsequent spread of generated buoyancy anomalies downstream where they affect the North Atlantic deep convection sites and hence the AMOC on multi-decadal timescales. The weakening of the AMOC and its poleward heat transport, in turn, sustains the "Warming Hole" - a region in the North Atlantic with anomalously weak (or even negative) warming trends. We discuss the key factors that control this robust AMOC response to changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003146','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003146"><span>Characterizing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Topography Using High-Resolution IceBridge Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Petty, Alek; Tsamados, Michel; Kurtz, Nathan; Farrell, Sinead; Newman, Thomas; Harbeck, Jeremy; Feltham, Daniel; Richter-Menge, Jackie</p> <p>2016-01-01</p> <p>We present an analysis of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice topography using high resolution, three-dimensional, surface elevation data from the Airborne Topographic Mapper, flown as part of NASA's Operation IceBridge mission. Surface features in the <span class="hlt">sea</span> ice cover are detected using a newly developed surface feature picking algorithm. We derive information regarding the height, volume and geometry of surface features from 2009-2014 within the Beaufort/Chukchi and Central <span class="hlt">Arctic</span> regions. The results are delineated by ice type to estimate the topographic variability across first-year and multi-year ice regimes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28607400','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28607400"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt leads to atmospheric new particle formation.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Dall Osto, M; Beddows, D C S; Tunved, P; Krejci, R; Ström, J; Hansson, H-C; Yoon, Y J; Park, Ki-Tae; Becagli, S; Udisti, R; Onasch, T; O Dowd, C D; Simó, R; Harrison, Roy M</p> <p>2017-06-12</p> <p>Atmospheric new particle formation (NPF) and growth significantly influences climate by supplying new seeds for cloud condensation and brightness. Currently, there is a lack of understanding of whether and how marine biota emissions affect aerosol-cloud-climate interactions in the <span class="hlt">Arctic</span>. Here, the aerosol population was categorised via cluster analysis of aerosol size distributions taken at Mt Zeppelin (Svalbard) during a 11 year record. The daily temporal occurrence of NPF events likely caused by nucleation in the polar marine boundary layer was quantified annually as 18%, with a peak of 51% during summer months. Air mass trajectory analysis and atmospheric nitrogen and sulphur tracers link these frequent nucleation events to biogenic precursors released by open water and melting <span class="hlt">sea</span> ice regions. The occurrence of such events across a full decade was anti-correlated with <span class="hlt">sea</span> ice extent. New particles originating from open water and open pack ice increased the cloud condensation nuclei concentration background by at least ca. 20%, supporting a marine biosphere-climate link through <span class="hlt">sea</span> ice melt and low altitude clouds that may have contributed to accelerate <span class="hlt">Arctic</span> warming. Our results prompt a better representation of biogenic aerosol sources in <span class="hlt">Arctic</span> climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040082159','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040082159"><span>Large Scale Variability of Phytoplankton Blooms in the <span class="hlt">Arctic</span> and Peripheral <span class="hlt">Seas</span>: Relationships with <span class="hlt">Sea</span> Ice, Temperature, Clouds, and Wind</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Comiso, Josefino C.; Cota, Glenn F.</p> <p>2004-01-01</p> <p>Spatially detailed satellite data of mean color, <span class="hlt">sea</span> ice concentration, surface temperature, clouds, and wind have been analyzed to quantify and study the large scale regional and temporal variability of phytoplankton blooms in the <span class="hlt">Arctic</span> and peripheral <span class="hlt">seas</span> from 1998 to 2002. In the <span class="hlt">Arctic</span> basin, phytoplankton chlorophyll displays a large symmetry with the Eastern <span class="hlt">Arctic</span> having about fivefold higher concentrations than those of the Western <span class="hlt">Arctic</span>. Large monthly and yearly variability is also observed in the peripheral <span class="hlt">seas</span> with the largest blooms occurring in the Bering <span class="hlt">Sea</span>, <span class="hlt">Sea</span> of Okhotsk, and the Barents <span class="hlt">Sea</span> during spring. There is large interannual and seasonal variability in biomass with average chlorophyll concentrations in 2002 and 2001 being higher than earlier years in spring and summer. The seasonality in the latitudinal distribution of blooms is also very different such that the North Atlantic is usually most expansive in spring while the North Pacific is more extensive in autumn. Environmental factors that influence phytoplankton growth were examined, and results show relatively high negative correlation with <span class="hlt">sea</span> ice retreat and strong positive correlation with temperature in early spring. Plankton growth, as indicated by biomass accumulation, in the <span class="hlt">Arctic</span> and subarctic increases up to a threshold surface temperature of about 276-277 degree K (3-4 degree C) beyond which the concentrations start to decrease suggesting an optimal temperature or nutrient depletion. The correlation with clouds is significant in some areas but negligible in other areas, while the correlations with wind speed and its components are generally weak. The effects of clouds and winds are less predictable with weekly climatologies because of unknown effects of averaging variable and intermittent physical forcing (e.g. over storm event scales with mixing and upwelling of nutrients) and the time scales of acclimation by the phytoplankton.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A53F2315Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A53F2315Y"><span>Intra- and Inter- annual PM2.5 variations in the <span class="hlt">Arctic</span> region during 2003-2017 based on the NASA's MERRA-2 re-analysis data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yasunari, T. J.; Kim, K. M.; da Silva, A. M., Jr.</p> <p>2017-12-01</p> <p>We examined the intra- and inter-annual variations of PM2.5 in the <span class="hlt">Arctic</span> region based on monthly mean aerosols (dust, sulfate, <span class="hlt">sea</span> salt, and carbonaceous aerosols) and PM2.5 from NASA's latest reanalysis, MERRA2. We focus on the time period from January 2003 to the recent month (May 2017). The domain of the <span class="hlt">Arctic</span> region was defined as North of 66.5N in this study. Although there are some exceptions, the largest contributions of dust, ammonium sulfate, <span class="hlt">sea</span> salt, and carbonaceous aerosols (i.e., Black Carbon, BC, and Particulate Organic Matter, POM) to the fractions of PM2.5 were mainly seen in spring, spring, fall, and summer, respectively. During the focused time period, the fractions of dust, ammonium sulfate, <span class="hlt">sea</span> salt, BC, and POM explains 2.7-42.5%, 9.5-37.5%, 16.7-73.1%, 0.5-2.8%, 1.5-58.0% of the <span class="hlt">Arctic</span> PM2.5, respectively. If we picked up the top 10 high PM2.5 months during the period, those were separated into two seasons: summer (eight months) and winter (two months). For the composites of the summer months above, the areas with higher PM2.5 were Siberia, Far East, Alaska, and Canada and the regions where POM fractions were larger, implying the contributions from smokes due to active wildfires in summer seasons. For the winter months, the mixture of increased dust, ammonium sulfate, and <span class="hlt">sea</span> salt was seen. However, the highest PM2.5 in the <span class="hlt">Arctic</span> region was seen from the <span class="hlt">Kara</span> <span class="hlt">Sea</span>, Barents <span class="hlt">Sea</span>, and Greenland <span class="hlt">Sea</span> over which the contribution of <span class="hlt">sea</span> salt was very large. This means the <span class="hlt">sea</span> salt aerosols were the main contributor to the high PM2.5 winter months there. Based on our MERRA-2 analyses, continuous monitoring and development for better forecasting wildfire activities in summer and <span class="hlt">sea</span> salt emissions in winter would be the keys for better understanding of the air quality in the <span class="hlt">Arctic</span> region including mitigation and measures of it in the future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.C43A0585U','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.C43A0585U"><span>Changes and variations in the turning angle of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ukita, J.; Honda, M.; Ishizuka, S.</p> <p>2012-12-01</p> <p>The motion of <span class="hlt">sea</span> ice is under influences of forcing from winds and currents and of <span class="hlt">sea</span> ice properties. In facing rapidly changing <span class="hlt">Arctic</span> climate we are interested in whether we observe and quantify changes in <span class="hlt">sea</span> ice conditions reflected in its velocity field. Theoretical consideration on the freedrift model predicts a change in the <span class="hlt">sea</span> ice turning angle with respect to the direction of forcing wind in association with thinning <span class="hlt">sea</span> ice thickness. Possible changes in atmospheric and ocean boundary layer conditions may be reflected in the <span class="hlt">sea</span> ice turning angle through modification of both atmospheric and oceanic Ekman spirals. With these in mind this study examines statistical properties of the turning angle of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and compares them with atmospheric/ice/ocean conditions for the period of 1979-2010 on the basis of IABP buoy data. Preliminary results indicate that over this period the turning angle has varying trends depending on different seasons. We found weakly significant (>90% level) changes in the turning angle from August to October with the maximum trend in October. The direction of trends is counter-clockwise with respect to the geostrophic wind direction, which is consistent with the thinning of <span class="hlt">sea</span> ice. The interannual variability of the turning angle for this peak season of the reduced <span class="hlt">sea</span> ice cover is not the same as that of the <span class="hlt">Arctic</span> SIE. However, in recent years the turning angle appears to covary with the surface air temperature, providing supporting evidence for the relationship between the angle and <span class="hlt">sea</span> ice thickness. In the presentation we will provide results on the relationships between the turning angle and atmospheric and oceanic variables and further discuss their implications.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.4236K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.4236K"><span>Data-adaptive Harmonic Decomposition and Real-time Prediction of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Extent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kondrashov, Dmitri; Chekroun, Mickael; Ghil, Michael</p> <p>2017-04-01</p> <p>Decline in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent (SIE) has profound socio-economic implications and is a focus of active scientific research. Of particular interest is prediction of SIE on subseasonal time scales, i.e. from early summer into fall, when <span class="hlt">sea</span> ice coverage in <span class="hlt">Arctic</span> reaches its minimum. However, subseasonal forecasting of SIE is very challenging due to the high variability of ocean and atmosphere over <span class="hlt">Arctic</span> in summer, as well as shortness of observational data and inadequacies of the physics-based models to simulate <span class="hlt">sea</span>-ice dynamics. The <span class="hlt">Sea</span> Ice Outlook (SIO) by <span class="hlt">Sea</span> Ice Prediction Network (SIPN, http://www.arcus.org/sipn) is a collaborative effort to facilitate and improve subseasonal prediction of September SIE by physics-based and data-driven statistical models. Data-adaptive Harmonic Decomposition (DAH) and Multilayer Stuart-Landau Models (MSLM) techniques [Chekroun and Kondrashov, 2017], have been successfully applied to the nonlinear stochastic modeling, as well as retrospective and real-time forecasting of Multisensor Analyzed <span class="hlt">Sea</span> Ice Extent (MASIE) dataset in key four <span class="hlt">Arctic</span> regions. In particular, DAH-MSLM predictions outperformed most statistical models and physics-based models in real-time 2016 SIO submissions. The key success factors are associated with DAH ability to disentangle complex regional dynamics of MASIE by data-adaptive harmonic spatio-temporal patterns that reduce the data-driven modeling effort to elemental MSLMs stacked per frequency with fixed and small number of model coefficients to estimate.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_16 --> <div id="page_17" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="321"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..14.2714C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..14.2714C"><span>Calibration and application of the IP25 biomarker for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice reconstructions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cabedo Sanz, P.; Navarro Rodriguez, A.; Belt, S. T.; Brown, T. A.; Knies, J.; Husum, K.; Giraudeau, J.; Andrews, J.</p> <p>2012-04-01</p> <p>The presence of the <span class="hlt">sea</span> ice diatom biomarker IP25 in <span class="hlt">Arctic</span> marine sediments has been used in previous studies as a proxy for past spring <span class="hlt">sea</span> ice occurrence and as an indicator of wider palaeoenvironmental conditions for different regions of the <span class="hlt">Arctic</span> over various timescales [e.g. 1, 3]. In addition, measurement of IP25 has also been applied as a <span class="hlt">sea</span> ice origin tracer for studying the transfer of organic carbon through <span class="hlt">Arctic</span> food-webs [2]. The current study focuses on three main areas: (1) In order to improve on the quantitative analytical aspects of IP25 based research, we present here the results of a large scale extraction, purification and identification procedure for IP25 from marine sediments. This has confirmed the structure of IP25 in sediments and enabled more robust quantitative measurements by gas chromatography - mass spectrometry (GC-MS) to be established. (2) Quantitative measurements of IP25 from a sediment core from Andfjord (continental shelf, Tromsø, Norway) have been determined for the period 6.3 to 14.3 ka BP. The results of this study add significant further information to that reported previously from other biomarker studies for this core (e.g. brassicasterol) [4]. (3) Analytical detection issues (GC-MS) regarding the occurrence of IP25 in other sub-<span class="hlt">Arctic</span> regions (e.g. East Greenland - North Iceland area) will be presented and discussed with relation to other proxy data (e.g. IRD). Belt, S. T., Vare, L. L., Massé, G., Manners, H. R., Price, J. C., MacLachlan, S. E., Andrews, J. T. & Schmidt, S. (2010) 'Striking similarities in temporal changes to spring <span class="hlt">sea</span> ice occurrence across the central Canadian <span class="hlt">Arctic</span> Archipelago over the last 7000 years', Quaternary Science Reviews, 29 (25-26), pp. 3489-3504. Brown, T. A. & Belt, S. T. (2012) 'Identification of the <span class="hlt">sea</span> ice diatom biomarker IP25 in <span class="hlt">Arctic</span> benthic macrofauna: direct evidence for a <span class="hlt">sea</span> ice diatom diet in <span class="hlt">Arctic</span> heterotrophs', Polar Biology, 35, pp. 131-137. Müller, J., Massé, G</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70175240','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70175240"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline contributes to thinning lake ice trend in northern Alaska</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Alexeev, Vladimir; Arp, Christopher D.; Jones, Benjamin M.; Cai, Lei</p> <p>2016-01-01</p> <p>Field measurements, satellite observations, and models document a thinning trend in seasonal <span class="hlt">Arctic</span> lake ice growth, causing a shift from bedfast to floating ice conditions. September <span class="hlt">sea</span> ice concentrations in the <span class="hlt">Arctic</span> Ocean since 1991 correlate well (r = +0.69,p < 0.001) to this lake regime shift. To understand how and to what extent <span class="hlt">sea</span> ice affects lakes, we conducted model experiments to simulate winters with years of high (1991/92) and low (2007/08) <span class="hlt">sea</span> ice extent for which we also had field measurements and satellite imagery characterizing lake ice conditions. A lake ice growth model forced with Weather Research and Forecasting model output produced a 7% decrease in lake ice growth when 2007/08 <span class="hlt">sea</span> ice was imposed on 1991/92 climatology and a 9% increase in lake ice growth for the opposing experiment. Here, we clearly link early winter 'ocean-effect' snowfall and warming to reduced lake ice growth. Future reductions in <span class="hlt">sea</span> ice extent will alter hydrological, biogeochemical, and habitat functioning of <span class="hlt">Arctic</span> lakes and cause sub-lake permafrost thaw.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRC..121.7354L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRC..121.7354L"><span>Improving the simulation of landfast ice by combining tensile strength and a parameterization for grounded ridges</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lemieux, Jean-François; Dupont, Frédéric; Blain, Philippe; Roy, François; Smith, Gregory C.; Flato, Gregory M.</p> <p>2016-10-01</p> <p>In some coastal regions of the <span class="hlt">Arctic</span> Ocean, grounded ice ridges contribute to stabilizing and maintaining a landfast ice cover. Recently, a grounding scheme representing this effect on <span class="hlt">sea</span> ice dynamics was introduced and tested in a viscous-plastic <span class="hlt">sea</span> ice model. This grounding scheme, based on a basal stress parameterization, improves the simulation of landfast ice in many regions such as in the East Siberian <span class="hlt">Sea</span>, the Laptev <span class="hlt">Sea</span>, and along the coast of Alaska. Nevertheless, in some regions like the <span class="hlt">Kara</span> <span class="hlt">Sea</span>, the area of landfast ice is systematically underestimated. This indicates that another mechanism such as ice arching is at play for maintaining the ice cover fast. To address this problem, the combination of the basal stress parameterization and tensile strength is investigated using a 0.25° Pan-<span class="hlt">Arctic</span> CICE-NEMO configuration. Both uniaxial and isotropic tensile strengths notably improve the simulation of landfast ice in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> but also in the Laptev <span class="hlt">Sea</span>. However, the simulated landfast ice season for the <span class="hlt">Kara</span> <span class="hlt">Sea</span> is too short compared to observations. This is especially obvious for the onset of the landfast ice season which systematically occurs later in the model and with a slower build up. This suggests that improvements to the <span class="hlt">sea</span> ice thermodynamics could reduce these discrepancies with the data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4817708','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4817708"><span>Filamentous phages prevalent in Pseudoalteromonas spp. confer properties advantageous to host survival in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Yu, Zi-Chao; Chen, Xiu-Lan; Shen, Qing-Tao; Zhao, Dian-Li; Tang, Bai-Lu; Su, Hai-Nan; Wu, Zhao-Yu; Qin, Qi-Long; Xie, Bin-Bin; Zhang, Xi-Ying; Yu, Yong; Zhou, Bai-Cheng; Chen, Bo; Zhang, Yu-Zhong</p> <p>2015-01-01</p> <p><span class="hlt">Sea</span> ice is one of the most frigid environments for marine microbes. In contrast to other ocean ecosystems, microbes in permanent <span class="hlt">sea</span> ice are space confined and subject to many extreme conditions, which change on a seasonal basis. How these microbial communities are regulated to survive the extreme <span class="hlt">sea</span> ice environment is largely unknown. Here, we show that filamentous phages regulate the host bacterial community to improve survival of the host in permanent <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. We isolated a filamentous phage, f327, from an <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice Pseudoalteromonas strain, and we demonstrated that this type of phage is widely distributed in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. Growth experiments and transcriptome analysis indicated that this phage decreases the host growth rate, cell density and tolerance to NaCl and H2O2, but enhances its motility and chemotaxis. Our results suggest that the presence of the filamentous phage may be beneficial for survival of the host community in <span class="hlt">sea</span> ice in winter, which is characterized by polar night, nutrient deficiency and high salinity, and that the filamentous phage may help avoid over blooming of the host in <span class="hlt">sea</span> ice in summer, which is characterized by polar day, rich nutrient availability, intense radiation and high concentration of H2O2. Thus, while they cannot kill the host cells by lysing them, filamentous phages confer properties advantageous to host survival in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice environment. Our study provides a foremost insight into the ecological role of filamentous phages in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice ecosystem. PMID:25303713</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014JGRC..119.2327A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014JGRC..119.2327A"><span>Implications of fractured <span class="hlt">Arctic</span> perennial ice cover on thermodynamic and dynamic <span class="hlt">sea</span> ice processes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Asplin, Matthew G.; Scharien, Randall; Else, Brent; Howell, Stephen; Barber, David G.; Papakyriakou, Tim; Prinsenberg, Simon</p> <p>2014-04-01</p> <p>Decline of the <span class="hlt">Arctic</span> summer minimum <span class="hlt">sea</span> ice extent is characterized by large expanses of open water in the Siberian, Laptev, Chukchi, and Beaufort <span class="hlt">Seas</span>, and introduces large fetch distances in the <span class="hlt">Arctic</span> Ocean. Long waves can propagate deep into the pack ice, thereby causing flexural swell and failure of the <span class="hlt">sea</span> ice. This process shifts the floe size diameter distribution smaller, increases floe surface area, and thereby affects <span class="hlt">sea</span> ice dynamic and thermodynamic processes. The results of Radarsat-2 imagery analysis show that a flexural fracture event which occurred in the Beaufort <span class="hlt">Sea</span> region on 6 September 2009 affected ˜40,000 km2. Open water fractional area in the area affected initially decreased from 3.7% to 2.7%, but later increased to ˜20% following wind-forced divergence of the ice pack. Energy available for lateral melting was assessed by estimating the change in energy entrainment from longwave and shortwave radiation in the mixed-layer of the ocean following flexural fracture. 11.54 MJ m-2 of additional energy for lateral melting of ice floes was identified in affected areas. The impact of this process in future <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt seasons was assessed using estimations of earlier occurrences of fracture during the melt season, and is discussed in context with ocean heat fluxes, atmospheric mixing of the ocean mixed layer, and declining <span class="hlt">sea</span> ice cover. We conclude that this process is an important positive feedback to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss, and timing of initiation is critical in how it affects <span class="hlt">sea</span> ice thermodynamic and dynamic processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C32B..02W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C32B..02W"><span>Snow accumulation on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice: is it a matter of how much or when?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Webster, M.; Petty, A.; Boisvert, L.; Markus, T.</p> <p>2017-12-01</p> <p>Snow on <span class="hlt">sea</span> ice plays an important, yet sometimes opposing role in <span class="hlt">sea</span> ice mass balance depending on the season. In autumn and winter, snow reduces the heat exchange from the ocean to the atmosphere, reducing <span class="hlt">sea</span> ice growth. In spring and summer, snow shields <span class="hlt">sea</span> ice from solar radiation, delaying <span class="hlt">sea</span> ice surface melt. Changes in snow depth and distribution in any season therefore directly affect the mass balance of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. In the western <span class="hlt">Arctic</span>, a decreasing trend in spring snow depth distribution has been observed and attributed to the combined effect of peak snowfall rates in autumn and the coincident delay in <span class="hlt">sea</span> ice freeze-up. Here, we build on this work and present an in-depth analysis on the relationship between snow accumulation and the timing of <span class="hlt">sea</span> ice freeze-up across all <span class="hlt">Arctic</span> regions. A newly developed two-layer snow model is forced with eight reanalysis precipitation products to: (1) identify the seasonal distribution of snowfall accumulation for different regions, (2) highlight which regions are most sensitive to the timing of <span class="hlt">sea</span> ice freeze-up with regard to snow accumulation, and (3) show, if precipitation were to increase, which regions would be most susceptible to thicker snow covers. We also utilize a comprehensive sensitivity study to better understand the factors most important in controlling winter/spring snow depths, and to explore what could happen to snow depth on <span class="hlt">sea</span> ice in a warming <span class="hlt">Arctic</span> climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.2879P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.2879P"><span>A Possible Link Between Winter <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Decline and a Collapse of the Beaufort High?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Petty, Alek A.</p> <p>2018-03-01</p> <p>A new study by Moore et al. (2018, https://doi.org/10.1002/2017GL076446) highlights a collapse of the anticyclonic "Beaufort High" atmospheric circulation over the western <span class="hlt">Arctic</span> Ocean in the winter of 2017 and an associated reversal of the <span class="hlt">sea</span> ice drift through the southern Beaufort <span class="hlt">Sea</span> (eastward instead of the predominantly westward circulation). The authors linked this to the loss of <span class="hlt">sea</span> ice in the Barents <span class="hlt">Sea</span>, anomalous warming over the region, and the intrusion of low-pressure cyclones along the eastern <span class="hlt">Arctic</span>. In this commentary we discuss the significance of this observation, the challenges associated with understanding these possible linkages, and some of the alternative hypotheses surrounding the impacts of winter <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20020060726','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20020060726"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Export Through Fram Strait and Atmospheric Planetary Waves</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cavalieri, Donald J.; Koblinsky, Chester (Technical Monitor)</p> <p>2001-01-01</p> <p>A link is found between the variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice export through Ram Strait and the phase of the longest atmospheric planetary wave (zonal wave 1) in SLP for the period 1958-1997. Previous studies have identified a link between From Strait ice export and the North Atlantic Oscillation (NAO), but this link has been described as unstable because of a lack of consistency over time scales longer than the last two decades. Inconsistent and low correlations are also found between From Strait ice export and the <span class="hlt">Arctic</span> Oscillation (AD) index. This paper shows that the phase of zonal wave 1 explains 60% - 70% of the simulated From Strait ice export variance over the Goodyear period 1958 - 1997. Unlike the NAB and AD links, these high variances are consistent for both the first and second halves of the Goodyear period. This consistency is attributed to the sensitivity of the wave I phase at high latitudes to the presence of secondary low pressure systems in the Barents <span class="hlt">Sea</span> that serve to drive <span class="hlt">sea</span> ice southward through From Strait. These results provide further evidence that the phase of zonal wave 1 in SLP at high latitudes drives regional as well as hemispheric low frequency <span class="hlt">Arctic</span> Ocean and <span class="hlt">sea</span> ice variability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018OcSci..14..127P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018OcSci..14..127P"><span>Observations of brine plumes below melting <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Peterson, Algot K.</p> <p>2018-02-01</p> <p>In <span class="hlt">sea</span> ice, interconnected pockets and channels of brine are surrounded by fresh ice. Over time, brine is lost by gravity drainage and flushing. The timing of salt release and its interaction with the underlying water can impact subsequent <span class="hlt">sea</span> ice melt. Turbulence measurements 1 m below melting <span class="hlt">sea</span> ice north of Svalbard reveal anticorrelated heat and salt fluxes. From the observations, 131 salty plumes descending from the warm <span class="hlt">sea</span> ice are identified, confirming previous observations from a Svalbard fjord. The plumes are likely triggered by oceanic heat through bottom melt. Calculated over a composite plume, oceanic heat and salt fluxes during the plumes account for 6 and 9 % of the total fluxes, respectively, while only lasting in total 0.5 % of the time. The observed salt flux accumulates to 7.6 kg m-2, indicating nearly full desalination of the ice. Bulk salinity reduction between two nearby ice cores agrees with accumulated salt fluxes to within a factor of 2. The increasing fraction of younger, more saline ice in the <span class="hlt">Arctic</span> suggests an increase in desalination processes with the transition to the <q>new <span class="hlt">Arctic</span></q>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.3046S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.3046S"><span>Spatial features of glacier changes in the Barents-<span class="hlt">Kara</span> Sector</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sharov, A. I.; Schöner, W.; Pail, R.</p> <p>2009-04-01</p> <p>In the 1950s, the total area of glaciers occupying separate islands and archipelagos of the Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span> exceeded 92,300 km² (Atlas of the <span class="hlt">Arctic</span> 1985). The overall glacier volume reached 20,140 km³ and the average ice thickness was given as 218 m. Our recent remote sensing studies and mass-balance estimates using spaceborne ASTER and LANDSAT imagery, ERS and JERS radar interferometric mosaics, and ICESat altimetry data revealed that, in the 2000s, the areal extent and volume of Barents-<span class="hlt">Kara</span> glaciation amounted to 86,200±200 km² and 19,330±20 km³, respectively. The annual loss of land ice influenced by severe climate change in longitudinal direction was determined at approx. 8 km³/a in Svalbard, 4 km³/a both in the Franz Josef Land and Novaya Zemlya archipelagos, and less than 0.3 km³/a in Severnaya Zemlya over the past 50 years. The average ice thickness of remaining glaciation increased to 224 m. This fact was explained by rapid disintegration of thinner glacier margins and essential accumulation of snow at higher glacier elevations. Both effects were clearly visible in the series of satellite image maps of glacier elevation changes generated within the framework of the INTEGRAL, SMARAGD and ICEAGE research projects. These maps can be accessed at http://joanneum.dib.at/integral or smaragd (cd results). The largest negative elevation changes were typically detected in the seaward basins of fast-flowing outlet glaciers, both at their fronts and tops. Ablation processes were stronger manifested on southern slopes of ice caps, while the accumulation of snow was generally higher on northern slopes so that main ice divides "shifted" to the north. The largest positive elevation changes (about 100 m) were found in the central part of the study region in the accumulation areas of the biggest ice caps, such as Northern Ice Cap in Novaya Zemlya, Tyndall and Windy ice domes in Franz Josef Land, and Kvitoyjokulen at Kvitøya. The sides of these glaciers</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014PhDT........69M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014PhDT........69M"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice: Trends, Stability and Variability</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Moon, Woosok</p> <p></p> <p>A stochastic <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice model is derived and analyzed in detail to interpret the recent decay and associated variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice under changes in greenhouse gas forcing widely referred to as global warming. The approach begins from a deterministic model of the heat flux balance through the air/<span class="hlt">sea</span>/ice system, which uses observed monthly-averaged heat fluxes to drive a time evolution of <span class="hlt">sea</span>-ice thickness. This model reproduces the observed seasonal cycle of the ice cover and it is to this that stochastic noise---representing high frequency variability---is introduced. The model takes the form of a single periodic non-autonomous stochastic ordinary differential equation. Following an introductory chapter, the two that follow focus principally on the properties of the deterministic model in order to identify the main properties governing the stability of the ice cover. In chapter 2 the underlying time-dependent solutions to the deterministic model are analyzed for their stability. It is found that the response time-scale of the system to perturbations is dominated by the destabilizing <span class="hlt">sea</span>-ice albedo feedback, which is operative in the summer, and the stabilizing long wave radiative cooling of the ice surface, which is operative in the winter. This basic competition is found throughout the thesis to define the governing dynamics of the system. In particular, as greenhouse gas forcing increases, the <span class="hlt">sea</span>-ice albedo feedback becomes more effective at destabilizing the system. Thus, any projections of the future state of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice will depend sensitively on the treatment of the ice-albedo feedback. This in turn implies that the treatment a fractional ice cover as the ice areal extent changes rapidly, must be handled with the utmost care. In chapter 3, the idea of a two-season model, with just winter and summer, is revisited. By breaking the seasonal cycle up in this manner one can simplify the interpretation of the basic dynamics. Whereas in the fully</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015TCD.....9.1077S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015TCD.....9.1077S"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice area in CMIP3 and CMIP5 climate model ensembles - variability and change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Semenov, V. A.; Martin, T.; Behrens, L. K.; Latif, M.</p> <p>2015-02-01</p> <p>The shrinking <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover observed during the last decades is probably the clearest manifestation of ongoing climate change. While climate models in general reproduce the <span class="hlt">sea</span> ice retreat in the <span class="hlt">Arctic</span> during the 20th century and simulate further <span class="hlt">sea</span> ice area loss during the 21st century in response to anthropogenic forcing, the models suffer from large biases and the model results exhibit considerable spread. The last generation of climate models from World Climate Research Programme Coupled Model Intercomparison Project Phase 5 (CMIP5), when compared to the previous CMIP3 model ensemble and considering the whole <span class="hlt">Arctic</span>, were found to be more consistent with the observed changes in <span class="hlt">sea</span> ice extent during the recent decades. Some CMIP5 models project strongly accelerated (non-linear) <span class="hlt">sea</span> ice loss during the first half of the 21st century. Here, complementary to previous studies, we compare results from CMIP3 and CMIP5 with respect to regional <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice change. We focus on September and March <span class="hlt">sea</span> ice. <span class="hlt">Sea</span> ice area (SIA) variability, <span class="hlt">sea</span> ice concentration (SIC) variability, and characteristics of the SIA seasonal cycle and interannual variability have been analysed for the whole <span class="hlt">Arctic</span>, termed Entire <span class="hlt">Arctic</span>, Central <span class="hlt">Arctic</span> and Barents <span class="hlt">Sea</span>. Further, the sensitivity of SIA changes to changes in Northern Hemisphere (NH) averaged temperature is investigated and several important dynamical links between SIA and natural climate variability involving the Atlantic Meridional Overturning Circulation (AMOC), North Atlantic Oscillation (NAO) and <span class="hlt">sea</span> level pressure gradient (SLPG) in the western Barents <span class="hlt">Sea</span> opening serving as an index of oceanic inflow to the Barents <span class="hlt">Sea</span> are studied. The CMIP3 and CMIP5 models not only simulate a coherent decline of the <span class="hlt">Arctic</span> SIA but also depict consistent changes in the SIA seasonal cycle and in the aforementioned dynamical links. The spatial patterns of SIC variability improve in the CMIP5 ensemble, particularly in summer. Both</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29694130','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29694130"><span>Simple Rules Govern the Patterns of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt Ponds.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Popović, Predrag; Cael, B B; Silber, Mary; Abbot, Dorian S</p> <p>2018-04-06</p> <p>Climate change, amplified in the far north, has led to rapid <span class="hlt">sea</span> ice decline in recent years. In the summer, melt ponds form on the surface of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, significantly lowering the ice reflectivity (albedo) and thereby accelerating ice melt. Pond geometry controls the details of this crucial feedback; however, a reliable model of pond geometry does not currently exist. Here we show that a simple model of voids surrounding randomly sized and placed overlapping circles reproduces the essential features of pond patterns. The only two model parameters, characteristic circle radius and coverage fraction, are chosen by comparing, between the model and the aerial photographs of the ponds, two correlation functions which determine the typical pond size and their connectedness. Using these parameters, the void model robustly reproduces the ponds' area-perimeter and area-abundance relationships over more than 6 orders of magnitude. By analyzing the correlation functions of ponds on several dates, we also find that the pond scale and the connectedness are surprisingly constant across different years and ice types. Moreover, we find that ponds resemble percolation clusters near the percolation threshold. These results demonstrate that the geometry and abundance of <span class="hlt">Arctic</span> melt ponds can be simply described, which can be exploited in future models of <span class="hlt">Arctic</span> melt ponds that would improve predictions of the response of <span class="hlt">sea</span> ice to <span class="hlt">Arctic</span> warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PhRvL.120n8701P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PhRvL.120n8701P"><span>Simple Rules Govern the Patterns of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt Ponds</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Popović, Predrag; Cael, B. B.; Silber, Mary; Abbot, Dorian S.</p> <p>2018-04-01</p> <p>Climate change, amplified in the far north, has led to rapid <span class="hlt">sea</span> ice decline in recent years. In the summer, melt ponds form on the surface of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, significantly lowering the ice reflectivity (albedo) and thereby accelerating ice melt. Pond geometry controls the details of this crucial feedback; however, a reliable model of pond geometry does not currently exist. Here we show that a simple model of voids surrounding randomly sized and placed overlapping circles reproduces the essential features of pond patterns. The only two model parameters, characteristic circle radius and coverage fraction, are chosen by comparing, between the model and the aerial photographs of the ponds, two correlation functions which determine the typical pond size and their connectedness. Using these parameters, the void model robustly reproduces the ponds' area-perimeter and area-abundance relationships over more than 6 orders of magnitude. By analyzing the correlation functions of ponds on several dates, we also find that the pond scale and the connectedness are surprisingly constant across different years and ice types. Moreover, we find that ponds resemble percolation clusters near the percolation threshold. These results demonstrate that the geometry and abundance of <span class="hlt">Arctic</span> melt ponds can be simply described, which can be exploited in future models of <span class="hlt">Arctic</span> melt ponds that would improve predictions of the response of <span class="hlt">sea</span> ice to <span class="hlt">Arctic</span> warming.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015PrOce.136..151D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015PrOce.136..151D"><span>Effects of recent decreases in <span class="hlt">arctic</span> <span class="hlt">sea</span> ice on an ice-associated marine bird</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Divoky, George J.; Lukacs, Paul M.; Druckenmiller, Matthew L.</p> <p>2015-08-01</p> <p>Recent major reductions in summer <span class="hlt">arctic</span> <span class="hlt">sea</span> ice extent could be expected to be affecting the distributions and life histories of <span class="hlt">arctic</span> marine biota adapted to living adjacent to <span class="hlt">sea</span> ice. Of major concern are the effects of ice reductions, and associated increasing SST, on the most abundant forage fish in the <span class="hlt">Arctic</span>, <span class="hlt">Arctic</span> cod (Boreogadus saida), the primary prey for the region's upper trophic level marine predators. The black guillemot (Cepphus grylle mandtii) is an ice-obligate diving seabird specializing in feeding on <span class="hlt">Arctic</span> cod and has been studied annually since 1975 at a breeding colony in the western Beaufort <span class="hlt">Sea</span>. The data set is one of the few allowing assessment of the response of an upper trophic marine predator to recent decadal changes in the region's cryosphere. Analysis of oceanographic conditions north of the colony from 1975 to 2012 for the annual period when parents provision young (mid-July to early September), found no major regime shifts in ice extent or SST until the late 1990s with major decreases in ice and increases in SST in the first decade of the 21st Century. We examined decadal variation in late summer oceanographic conditions, nestling diet and success, and overwinter adult survival, comparing a historical period (1975-1984) with a recent (2003-2012) one. In the historical period <span class="hlt">sea</span> ice retreated an average of 1.8 km per day from 15 July to 1 September to an average distance of 95.8 km from the colony, while in the recent period ice retreat averaged 9.8 km per day to an average distance of 506.9 km for the same time period. SST adjacent to the island increased an average of 2.9 °C between the two periods. While <span class="hlt">Arctic</span> cod comprised over 95% of the prey provided to nestlings in the historical period, in the recent period 80% of the years had seasonal decreases, with <span class="hlt">Arctic</span> cod decreasing to <5% of the nestling diet, and nearshore demersals, primarily sculpin (Cottidae), comprising the majority of the diet. A five-fold increase in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeoRL..44.7955M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeoRL..44.7955M"><span>Remarkable separability of circulation response to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and greenhouse gas forcing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McCusker, K. E.; Kushner, P. J.; Fyfe, J. C.; Sigmond, M.; Kharin, V. V.; Bitz, C. M.</p> <p>2017-08-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss may influence midlatitude climate by changing large-scale circulation. The extent to which climate change can be understood as greenhouse gas-induced changes that are modulated by this loss depends on how additive the responses to the separate influences are. A novel <span class="hlt">sea</span> ice nudging methodology in a fully coupled climate model reveals that the separate effects of doubled atmospheric carbon dioxide (CO2) concentrations and associated <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss are remarkably additive and insensitive to the mean climate state. This separability is evident in several fields throughout most of the year, from hemispheric to synoptic scales. The extent to which the regional response to <span class="hlt">sea</span> ice loss sometimes agrees with and sometimes cancels the response to CO2 is quantified. The separability of the responses might provide a means to better interpret the diverse array of modeling and observational studies of <span class="hlt">Arctic</span> change and influence.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016PolSc..10..323Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016PolSc..10..323Y"><span>Mapping of the air-<span class="hlt">sea</span> CO2 flux in the <span class="hlt">Arctic</span> Ocean and its adjacent <span class="hlt">seas</span>: Basin-wide distribution and seasonal to interannual variability</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yasunaka, Sayaka; Murata, Akihiko; Watanabe, Eiji; Chierici, Melissa; Fransson, Agneta; van Heuven, Steven; Hoppema, Mario; Ishii, Masao; Johannessen, Truls; Kosugi, Naohiro; Lauvset, Siv K.; Mathis, Jeremy T.; Nishino, Shigeto; Omar, Abdirahman M.; Olsen, Are; Sasano, Daisuke; Takahashi, Taro; Wanninkhof, Rik</p> <p>2016-09-01</p> <p>We produced 204 monthly maps of the air-<span class="hlt">sea</span> CO2 flux in the <span class="hlt">Arctic</span> north of 60°N, including the <span class="hlt">Arctic</span> Ocean and its adjacent <span class="hlt">seas</span>, from January 1997 to December 2013 by using a self-organizing map technique. The partial pressure of CO2 (pCO2) in surface water data were obtained by shipboard underway measurements or calculated from alkalinity and total inorganic carbon of surface water samples. Subsequently, we investigated the basin-wide distribution and seasonal to interannual variability of the CO2 fluxes. The 17-year annual mean CO2 flux shows that all areas of the <span class="hlt">Arctic</span> Ocean and its adjacent <span class="hlt">seas</span> were net CO2 sinks. The estimated annual CO2 uptake by the <span class="hlt">Arctic</span> Ocean was 180 TgC yr-1. The CO2 influx was strongest in winter in the Greenland/Norwegian <span class="hlt">Seas</span> (>15 mmol m-2 day-1) and the Barents <span class="hlt">Sea</span> (>12 mmol m-2 day-1) because of strong winds, and strongest in summer in the Chukchi <span class="hlt">Sea</span> (∼10 mmol m-2 day-1) because of the <span class="hlt">sea</span>-ice retreat. In recent years, the CO2 uptake has increased in the Greenland/Norwegian <span class="hlt">Sea</span> and decreased in the southern Barents <span class="hlt">Sea</span>, owing to increased and decreased air-<span class="hlt">sea</span> pCO2 differences, respectively.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.7072K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.7072K"><span>Statistical Prediction of <span class="hlt">Sea</span> Ice Concentration over <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kim, Jongho; Jeong, Jee-Hoon; Kim, Baek-Min</p> <p>2017-04-01</p> <p>In this study, a statistical method that predict <span class="hlt">sea</span> ice concentration (SIC) over the <span class="hlt">Arctic</span> is developed. We first calculate the Season-reliant Empirical Orthogonal Functions (S-EOFs) of monthly <span class="hlt">Arctic</span> SIC from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data, which contain the seasonal cycles (12 months long) of dominant SIC anomaly patterns. Then, the current SIC state index is determined by projecting observed SIC anomalies for latest 12 months to the S-EOFs. Assuming the current SIC anomalies follow the spatio-temporal evolution in the S-EOFs, we project the future (upto 12 months) SIC anomalies by multiplying the SI and the corresponding S-EOF and then taking summation. The predictive skill is assessed by hindcast experiments initialized at all the months for 1980-2010. When comparing predictive skill of SIC predicted by statistical model and NCEP CFS v2, the statistical model shows a higher skill in predicting <span class="hlt">sea</span> ice concentration and extent.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeoRL..44.7338G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeoRL..44.7338G"><span>Aerosol-driven increase in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the middle of the twentieth century</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gagné, Marie-Ève; Fyfe, John C.; Gillett, Nathan P.; Polyakov, Igor V.; Flato, Gregory M.</p> <p>2017-07-01</p> <p>Updated observational data sets without climatological infilling show that there was an increase in <span class="hlt">sea</span> ice concentration in the eastern <span class="hlt">Arctic</span> between 1950 and 1975, contrary to earlier climatology infilled observational data sets that show weak interannual variations during that time period. We here present climate model simulations showing that this observed <span class="hlt">sea</span> ice concentration increase was primarily a consequence of cooling induced by increasing anthropogenic aerosols and natural forcing. Indeed, sulphur dioxide emissions, which lead to the formation of sulphate aerosols, peaked around 1980 causing a sharp increase in the burden of sulphate between the 1950s and 1970s; but since 1980, the burden has dropped. Our climate model simulations show that the cooling contribution of aerosols offset the warming effect of increasing greenhouse gases over the midtwentieth century resulting in the expansion of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover. These results challenge the perception that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent was unperturbed by human influence until the 1970s, suggesting instead that it exhibited earlier forced multidecadal variations, with implications for our understanding of impacts and adaptation in human and natural <span class="hlt">Arctic</span> systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.7924N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.7924N"><span>Snow depth on <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice derived from autonomous (Snow Buoy) measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nicolaus, Marcel; Arndt, Stefanie; Hendricks, Stefan; Heygster, Georg; Huntemann, Marcus; Katlein, Christian; Langevin, Danielle; Rossmann, Leonard; Schwegmann, Sandra</p> <p>2016-04-01</p> <p>The snow cover on <span class="hlt">sea</span> ice received more and more attention in recent <span class="hlt">sea</span> ice studies and model simulations, because its physical properties dominate many <span class="hlt">sea</span> ice and upper ocean processes. In particular; the temporal and spatial distribution of snow depth is of crucial importance for the energy and mass budgets of <span class="hlt">sea</span> ice, as well as for the interaction with the atmosphere and the oceanic freshwater budget. Snow depth is also a crucial parameter for <span class="hlt">sea</span> ice thickness retrieval algorithms from satellite altimetry data. Recent time series of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice volume only use monthly snow depth climatology, which cannot take into account annual changes of the snow depth and its properties. For Antarctic <span class="hlt">sea</span> ice, no such climatology is available. With a few exceptions, snow depth on <span class="hlt">sea</span> ice is determined from manual in-situ measurements with very limited coverage of space and time. Hence the need for more consistent observational data sets of snow depth on <span class="hlt">sea</span> ice is frequently highlighted. Here, we present time series measurements of snow depths on Antarctic and <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, recorded by an innovative and affordable platform. This Snow Buoy is optimized to autonomously monitor the evolution of snow depth on <span class="hlt">sea</span> ice and will allow new insights into its seasonality. In addition, the instruments report air temperature and atmospheric pressure directly into different international networks, e.g. the Global Telecommunication System (GTS) and the International <span class="hlt">Arctic</span> Buoy Programme (IABP). We introduce the Snow Buoy concept together with technical specifications and results on data quality, reliability, and performance of the units. We highlight the findings from four buoys, which simultaneously drifted through the Weddell <span class="hlt">Sea</span> for more than 1.5 years, revealing unique information on characteristic regional and seasonal differences. Finally, results from seven snow buoys co-deployed on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice throughout the winter season 2015/16 suggest the great importance of local</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_17 --> <div id="page_18" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="341"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25639886','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25639886"><span><span class="hlt">Arctic</span> warming: nonlinear impacts of <span class="hlt">sea</span>-ice and glacier melt on seabird foraging.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Grémillet, David; Fort, Jérôme; Amélineau, Françoise; Zakharova, Elena; Le Bot, Tangi; Sala, Enric; Gavrilo, Maria</p> <p>2015-03-01</p> <p><span class="hlt">Arctic</span> climate change has profound impacts on the cryosphere, notably via shrinking <span class="hlt">sea</span>-ice cover and retreating glaciers, and it is essential to evaluate and forecast the ecological consequences of such changes. We studied zooplankton-feeding little auks (Alle alle), a key sentinel species of the <span class="hlt">Arctic</span>, at their northernmost breeding site in Franz-Josef Land (80°N), Russian <span class="hlt">Arctic</span>. We tested the hypothesis that little auks still benefit from pristine <span class="hlt">arctic</span> environmental conditions in this remote area. To this end, we analysed remote sensing data on <span class="hlt">sea</span>-ice and coastal glacier dynamics collected in our study area across 1979-2013. Further, we recorded little auk foraging behaviour using miniature electronic tags attached to the birds in the summer of 2013, and compared it with similar data collected at three localities across the Atlantic <span class="hlt">Arctic</span>. We also compared current and historical data on Franz-Josef Land little auk diet, morphometrics and chick growth curves. Our analyses reveal that summer <span class="hlt">sea</span>-ice retreated markedly during the last decade, leaving the Franz-Josef Land archipelago virtually <span class="hlt">sea</span>-ice free each summer since 2005. This had a profound impact on little auk foraging, which lost their <span class="hlt">sea</span>-ice-associated prey. Concomitantly, large coastal glaciers retreated rapidly, releasing large volumes of melt water. Zooplankton is stunned by cold and osmotic shock at the boundary between glacier melt and coastal waters, creating new foraging hotspots for little auks. Birds therefore switched from foraging at distant ice-edge localities, to highly profitable feeding at glacier melt-water fronts within <5 km of their breeding site. Through this behavioural plasticity, little auks maintained their chick growth rates, but showed a 4% decrease in adult body mass. Our study demonstrates that <span class="hlt">arctic</span> cryosphere changes may have antagonistic ecological consequences on coastal trophic flow. Such nonlinear responses complicate modelling exercises of current and future</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.5204H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.5204H"><span>The Unprecedented 2016-2017 <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Growth Season: The Crucial Role of Atmospheric Rivers and Longwave Fluxes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hegyi, Bradley M.; Taylor, Patrick C.</p> <p>2018-05-01</p> <p>The 2016-2017 <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice growth season (October-March) exhibited one of the lowest values for end-of-season <span class="hlt">sea</span> ice volume and extent of any year since 1979. An analysis of Modern-Era Retrospective Analysis for Research and Applications, Version 2 atmospheric reanalysis data and Clouds and the Earth's Radiant Energy System radiative flux data reveals that a record warm and moist <span class="hlt">Arctic</span> atmosphere supported the reduced <span class="hlt">sea</span> ice growth. Numerous regional episodes of increased atmospheric temperature and moisture, transported from lower latitudes, increased the cumulative energy input from downwelling longwave surface fluxes. In those same episodes, the efficiency of the atmosphere cooling radiatively to space was reduced, increasing the amount of energy retained in the <span class="hlt">Arctic</span> atmosphere and reradiated back toward the surface. Overall, the <span class="hlt">Arctic</span> radiative cooling efficiency shows a decreasing trend since 2000. The results presented highlight the increasing importance of atmospheric forcing on <span class="hlt">sea</span> ice variability demonstrating that episodic <span class="hlt">Arctic</span> atmospheric rivers, regions of elevated poleward water vapor transport, and the subsequent surface energy budget response is a critical mechanism actively contributing to the evolution of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE14A1392Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE14A1392Z"><span>Seasonal and Interannual Variability of the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice: A Comparison between AO-FVCOM and Observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, Y.; Chen, C.; Beardsley, R. C.; Gao, G.; Qi, J.; Lin, H.</p> <p>2016-02-01</p> <p>A high-resolution (up to 2 km), unstructured-grid, fully ice-<span class="hlt">sea</span> coupled <span class="hlt">Arctic</span> Ocean Finite-Volume Community Ocean Model (AO-FVCOM) was used to simulate the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the period 1978-2014. Good agreements were found between simulated and observed <span class="hlt">sea</span> ice extent, concentration, drift velocity and thickness, indicating that the AO-FVCOM captured not only the seasonal and interannual variability but also the spatial distribution of the <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> in the past 37 years. Compared with other six <span class="hlt">Arctic</span> Ocean models (ECCO2, GSFC, INMOM, ORCA, NAME and UW), the AO-FVCOM-simulated ice thickness showed a higher correlation coefficient and a smaller difference with observations. An effort was also made to examine the physical processes attributing to the model-produced bias in the <span class="hlt">sea</span> ice simulation. The error in the direction of the ice drift velocity was sensitive to the wind turning angle; smaller when the wind was stronger, but larger when the wind was weaker. This error could lead to the bias in the near-surface current in the fully or partially ice-covered zone where the ice-<span class="hlt">sea</span> interfacial stress was a major driving force.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/16905428','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/16905428"><span>Crustacea in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice: distribution, diet and life history strategies.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Arndt, Carolin E; Swadling, Kerrie M</p> <p>2006-01-01</p> <p>This review concerns crustaceans that associate with <span class="hlt">sea</span> ice. Particular emphasis is placed on comparing and contrasting the <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice habitats, and the subsequent influence of these environments on the life history strategies of the crustacean fauna. <span class="hlt">Sea</span> ice is the dominant feature of both polar marine ecosystems, playing a central role in physical processes and providing an essential habitat for organisms ranging in size from viruses to whales. Similarities between the <span class="hlt">Arctic</span> and Antarctic marine ecosystems include variable cover of <span class="hlt">sea</span> ice over an annual cycle, a light regimen that can extend from months of total darkness to months of continuous light and a pronounced seasonality in primary production. Although there are many similarities, there are also major differences between the two regions: The Antarctic experiences greater seasonal change in its <span class="hlt">sea</span> ice extent, much of the ice is over very deep water and more than 80% breaks out each year. In contrast, <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice often covers comparatively shallow water, doubles in its extent on an annual cycle and the ice may persist for several decades. Crustaceans, particularly copepods and amphipods, are abundant in the <span class="hlt">sea</span> ice zone at both poles, either living within the brine channel system of the ice-crystal matrix or inhabiting the ice-water interface. Many species associate with ice for only a part of their life cycle, while others appear entirely dependent upon it for reproduction and development. Although similarities exist between the two faunas, many differences are emerging. Most notable are the much higher abundance and biomass of Antarctic copepods, the dominance of the Antarctic <span class="hlt">sea</span> ice copepod fauna by calanoids, the high euphausiid biomass in Southern Ocean waters and the lack of any species that appear fully dependent on the ice. In the <span class="hlt">Arctic</span>, the ice-associated fauna is dominated by amphipods. Calanoid copepods are not tightly associated with the ice, while harpacticoids and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1810633W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1810633W"><span>Ice Mass Changes in the Russian High <span class="hlt">Arctic</span> from Repeat High Resolution Topography.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Willis, Michael; Zheng, Whyjay; Pritchard, Matthew; Melkonian, Andrew; Morin, Paul; Porter, Claire; Howat, Ian; Noh, Myoung-Jong; Jeong, Seongsu</p> <p>2016-04-01</p> <p>We use a combination of ASTER and cartographically derived Digital Elevation Models (DEMs) supplemented with WorldView DEMs, the <span class="hlt">Arctic</span>DEM and ICESat lidar returns to produce a time-series of ice changes occurring in the Russian High <span class="hlt">Arctic</span> between the mid-20th century and the present. Glaciers on the western, Barents <span class="hlt">Sea</span> coast of Novaya Zemlya are in a state of general retreat and thinning, while those on the eastern, <span class="hlt">Kara</span> <span class="hlt">Sea</span> coast are retreating at a slower rate. Franz Josef Land has a complicated pattern of thinning and thickening, although almost all the thinning is associated with rapid outlet glaciers feeding ice shelves. Severnaya Zemlya is also thinning in a complicated manner. A very rapid surging glacier is transferring mass into the ocean from the western periphery of the Vavilov Ice Cap on October Revolution Island, while glaciers feeding the former Matusevich Ice Shelf continue to thin at rates that are faster than those observed during the operational period of ICESat, between 2003 and 2009. Passive microwave studies indicate the total number of melt days is increasing in the Russian <span class="hlt">Arctic</span>, although much of the melt may refreeze within the firn. It is likely that ice dynamic changes will drive mass loss for the immediate future. The sub-marine basins beneath several of the ice caps in the region suggest the possibility that mass loss rates may accelerate in the future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1913380R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1913380R"><span>Extreme cyclone events in the <span class="hlt">Arctic</span> during wintertime: Variability and Trends</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rinke, Annette; Maturilli, Marion; Graham, Robert; Matthes, Heidrun; Handorf, Doerthe; Cohen, Lana; Hudson, Stephen; Moore, John</p> <p>2017-04-01</p> <p>Extreme cyclone events are of significant interest as they can transport much heat, moisture, and momentum poleward. Associated impacts are warming and <span class="hlt">sea</span>-ice breakup. Recently, several examples of such extreme weather events occurred in winter (e.g. during the N-ICE2015 campaign north of Svalbard and the Frank North Atlantic storm during the end of December 2015). With <span class="hlt">Arctic</span> amplification and associated reduced <span class="hlt">sea</span>-ice cover and warmer <span class="hlt">sea</span> surface temperatures, the occurrence of extreme cyclones events could be a plausible scenario. We calculate the spatial patterns, and changes and trends of the number of extreme cyclone events in the <span class="hlt">Arctic</span> based on ERA-Interim six-hourly <span class="hlt">sea</span> level pressure (SLP) data for winter (November-February) 1979-2015. Further, we analyze the SLP data from the Ny Alesund station for the same 37 year period. We define an extreme cyclone event by a extreme low central pressure (SLP below 985 hPa, which is the 5th percentile of the Ny Alesund/N-ICE2015 SLP data) and a deepening of at least 6 hPa/6 hours. Areas of highest frequency of occurrence of extreme cyclones are south/southeast of Greenland (corresponding to the Islandic low), between Norway and Svalbard and in the Barents/<span class="hlt">Kara</span> <span class="hlt">Seas</span>. The time series of the number of occurrence of extreme cyclone events for Ny Alesund/N-ICE show considerable interannual variability. The trend is not consistent through the winter, but we detect an increase in early winter and a slight decrease in late winter. The former is due to the increased occurrence of longer events at the expense of short events. Furthermore, the difference patterns of the frequency of events for months following the September with high and low <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent ("Low minus high <span class="hlt">sea</span> ice") conforms with the change patterns of extreme cyclones numbers (frequency of events "2000-2015 minus 1979-1994") and with the trend patterns. This indicates that the changes in extreme cyclone occurrence in early winter are associated with</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.C41C0478A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.C41C0478A"><span>Controls on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from first-year and multi-year ice survival rates</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Armour, K.; Bitz, C. M.; Hunke, E. C.; Thompson, L.</p> <p>2009-12-01</p> <p>The recent decrease in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has transpired with a significant loss of multi-year (MY) ice. The transition to an <span class="hlt">Arctic</span> that is populated by thinner first-year (FY) <span class="hlt">sea</span> ice has important implications for future trends in area and volume. We develop a reduced model for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice with which we investigate how the survivability of FY and MY ice control various aspects of the <span class="hlt">sea</span>-ice system. We demonstrate that <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice area and volume behave approximately as first-order autoregressive processes, which allows for a simple interpretation of September <span class="hlt">sea</span>-ice in which its mean state, variability, and sensitivity to climate forcing can be described naturally in terms of the average survival rates of FY and MY ice. This model, used in concert with a <span class="hlt">sea</span>-ice simulation that traces FY and MY ice areas to estimate the survival rates, reveals that small trends in the ice survival rates explain the decline in total <span class="hlt">Arctic</span> ice area, and the relatively larger loss of MY ice area, over the period 1979-2006. Additionally, our model allows for a calculation of the persistence time scales of September area and volume anomalies. A relatively short memory time scale for ice area (~ 1 year) implies that <span class="hlt">Arctic</span> ice area is nearly in equilibrium with long-term climate forcing at all times, and therefore observed trends in area are a clear indication of a changing climate. A longer memory time scale for ice volume (~ 5 years) suggests that volume can be out of equilibrium with climate forcing for long periods of time, and therefore trends in ice volume are difficult to distinguish from its natural variability. With our reduced model, we demonstrate the connection between memory time scale and sensitivity to climate forcing, and discuss the implications that a changing memory time scale has on the trajectory of ice area and volume in a warming climate. Our findings indicate that it is unlikely that a “tipping point” in September ice area and volume will be</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C54A..08M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C54A..08M"><span>Object-based Image Classification of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice and Melt Ponds through Aerial Photos</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Miao, X.; Xie, H.; Li, Z.; Lei, R.</p> <p>2013-12-01</p> <p>The last six years have marked the lowest <span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice extents in the modern era, with a new record summer minimum (3.4 million km2) set on 13 September 2012. It has been predicted that the <span class="hlt">Arctic</span> could be free of summer ice within the next 25-30. The loss of <span class="hlt">Arctic</span> summer ice could have serious consequences, such as higher water temperature due to the positive feedback of albedo, more powerful and frequent storms, rising <span class="hlt">sea</span> levels, diminished habitats for polar animals, and more pollution due to fossil fuel exploitation and/ or increased traffic through the Northwest/ Northeast Passage. In these processes, melt ponds play an important role in Earth's radiation balance since they strongly absorb solar radiation rather than reflecting it as snow and ice do. Therefore, it is necessary to develop the ability of predicting the <span class="hlt">sea</span> ice/ melt pond extents and space-time evolution, which is pivotal to prepare for the variation and uncertainty of the future environment, political, economic, and military needs. A lot of efforts have been put into <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice modeling to simulate <span class="hlt">sea</span> ice processes. However, these <span class="hlt">sea</span> ice models were initiated and developed based on limited field surveys, aircraft or satellite image data. Therefore, it is necessary to collect high resolution <span class="hlt">sea</span> ice aerial photo in a systematic way to tune up, validate, and improve models. Currently there are many <span class="hlt">sea</span> ice aerial photos available, such as Chinese <span class="hlt">Arctic</span> Exploration (CHINARE 2008, 2010, 2012), SHEBA 1998 and HOTRAX 2005. However, manually delineating of <span class="hlt">sea</span> ice and melt pond from these images is time-consuming and labor-intensive. In this study, we use the object-based remote sensing classification scheme to extract <span class="hlt">sea</span> ice and melt ponds efficiently from 1,727 aerial photos taken during the CHINARE 2010. The algorithm includes three major steps as follows. (1) Image segmentation groups the neighboring pixels into objects according to the similarity of spectral and texture</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..14.6503C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..14.6503C"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice variability and its implication to the path of pollutants under a changing climate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Castro-Morales, K.; Gerdes, R.; Riemann-Campe, K.; Köberle, C.; Losch, M.</p> <p>2012-04-01</p> <p>The increasing concentration of pollutants from anthropogenic origin in the <span class="hlt">Arctic</span> atmosphere, water, sediments and biota has been evident during the last decade. The <span class="hlt">sea</span>-ice is an important vehicle for pollutants in the <span class="hlt">Arctic</span> Ocean. Pollutants are taken up by precipitation and dry atmospheric deposition over the snow and ice cover during winter and released to the ocean during melting. Recent changes in the <span class="hlt">sea</span>-ice cover of the <span class="hlt">Arctic</span> Ocean affect the fresh water balance and the oceanic circulation, and with it, the fate of pollutants in the system. The <span class="hlt">Arctic</span> Ocean is characterized by complex dynamics and strong stratification. Thus, to evaluate the current and future changes in the <span class="hlt">Arctic</span> circulation high-resolution models are needed. As part of the EU FP7 project ArcRisk (under the scope of the IPY), we use a high resolution regional <span class="hlt">sea</span>-ice-ocean coupled model covering the <span class="hlt">Arctic</span> Ocean and the subpolar North Atlantic based on the Massachusetts Institute of Technology - circulation model (MITgcm). Under realistic atmospheric forcing we obtain hindcast results of circulation patterns for the period 1990 - 2010 for validation of the model. We evaluate possible consequences on the pathways and transport of contaminants by downscaling future climate scenario runs available in the coupled model intercomparison project (CMIP3) for the following fifty years. Particular interest is set in the Barents <span class="hlt">Sea</span>. In this shallow region strong river runoff, <span class="hlt">sea</span>-ice delivered from the interior of the <span class="hlt">Arctic</span> Ocean and warm waters from the North Atlantic current are main sources of contaminants. Under a changing climate, a higher input of contaminants delivered to surface waters is expected, remaining in the interior of the <span class="hlt">Arctic</span> Ocean in a strongly stratified water column remaining.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/943046-sources-transuranic-elements-plutonium-neptunium-arctic-marine-sediments','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/943046-sources-transuranic-elements-plutonium-neptunium-arctic-marine-sediments"><span>Sources of the transuranic elements plutonium and neptunium in <span class="hlt">arctic</span> marine sediments.</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Cooper, L. W.; Kelley, J. M.; Bond, L. A.</p> <p>2000-01-01</p> <p>We report here thermal ionization mass spectrometry measurements of {sup 239}Pu, {sup 240}Pu, {sup 241}Pu, {sup 242}Pu, and {sup 237}Np isolated from oceanic, estuarine, and riverine sediments from the <span class="hlt">Arctic</span> Ocean Basin. {sup 238}Pu/{sup 239+240}Pu activity ratios are also reported for alpha spectrometric analyses undertaken on a subset of these samples. Our results indicate that the Pu in sediments on the Alaskan shelf and slope, as well as that in the deep basins (Amerasian and Eurasian) of the <span class="hlt">Arctic</span> Ocean, has its origin in stratospheric and tropospheric fallout. Sediments from the Ob and Yenisei Rivers show isotopic Pu signatures thatmore » are distinctly different from those of northern-hemisphere stratospheric fallout and indicate the presence of weapons-grade Pu originating from nuclear fuel reprocessing wastes generated at Russian facilities within these river catchments. Consequently, sediments of the Eurasian <span class="hlt">Arctic</span> Ocean, particularly those in the Barents and <span class="hlt">Kara</span> <span class="hlt">Seas</span>, probably contain a mixture of Pu from stratospheric fallout, tropospheric fallout, and fuel-reprocessing wastes of riverine origin. In particular, the {sup 241}Pu/{sup 239}Pu ratios observed in these sediments are inconsistent with significant contributions of Pu to the <span class="hlt">arctic</span> sediments studied from western European reprocessing facilities, principally Sellafield in the UK. Several other potential sources of Pu to <span class="hlt">arctic</span> sediments can also be excluded as significant based upon the transuranic isotope ratios presented.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRC..122.2539G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRC..122.2539G"><span>Snow contribution to first-year and second-year <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice mass balance north of Svalbard</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Granskog, Mats A.; Rösel, Anja; Dodd, Paul A.; Divine, Dmitry; Gerland, Sebastian; Martma, Tõnu; Leng, Melanie J.</p> <p>2017-03-01</p> <p>The salinity and water oxygen isotope composition (δ18O) of 29 first-year (FYI) and second-year (SYI) <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cores (total length 32.0 m) from the drifting ice pack north of Svalbard were examined to quantify the contribution of snow to <span class="hlt">sea</span> ice mass. Five cores (total length 6.4 m) were analyzed for their structural composition, showing variable contribution of 10-30% by granular ice. In these cores, snow had been entrained in 6-28% of the total ice thickness. We found evidence of snow contribution in about three quarters of the <span class="hlt">sea</span> ice cores, when surface granular layers had very low δ18O values. Snow contributed 7.5-9.7% to <span class="hlt">sea</span> ice mass balance on average (including also cores with no snow) based on δ18O mass balance calculations. In SYI cores, snow fraction by mass (12.7-16.3%) was much higher than in FYI cores (3.3-4.4%), while the bulk salinity of FYI (4.9) was distinctively higher than for SYI (2.7). We conclude that oxygen isotopes and salinity profiles can give information on the age of the ice and enables distinction between FYI and SYI (or older) ice in the area north of Svalbard.<abstract type="synopsis"><title type="main">Plain Language SummaryThe role of snow in <span class="hlt">sea</span> ice mass balance is largely two fold. Firstly, it can slow down growth and melt due to its high insulation and high reflectance, but secondly it can actually contribute to <span class="hlt">sea</span> ice growth if the snow cover is turned into ice. The latter is largely a consequence of high mass of snow on top of <span class="hlt">sea</span> ice that can push the surface of the <span class="hlt">sea</span> ice below <span class="hlt">sea</span> level and seawater can flood the ice. This mixture of seawater and snow can then freeze and add to the growth of <span class="hlt">sea</span> ice. This is very typical in the Antarctic but not believed to be so important in the <span class="hlt">Arctic</span>. In this work we show, for the first time, that snow actually contributes significantly to the growth of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. This is likely a consequence of the thinning of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. The conditions in the <span class="hlt">Arctic</span>, with</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C21G1187P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C21G1187P"><span>Spatial and Temporal Means and Variability of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Climate Indicators from Satellite Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Peng, G.; Meier, W.; Bliss, A. C.; Steele, M.; Dickinson, S.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has been undergoing rapid and accelerated loss since satellite-based measurements became available in late 1970s, especially the summer ice coverage. For the <span class="hlt">Arctic</span> as a whole, the long-term trend for the annual <span class="hlt">sea</span> ice extent (SIE) minimum is about -13.5±2.93 % per decade change relative to the 1979-2015 climate average, while the trends of the annual SIE minimum for the local regions can range from 0 to up to -42 % per decade. This presentation aims to examine and baseline spatial and temporal means and variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice climate indicators, such as the annual SIE minimum and maximum, snow/ice melt onset, etc., from a consistent, inter-calibrated, long-term time series of remote sensing <span class="hlt">sea</span> ice data for understanding regional vulnerability and monitoring ice state for climate adaptation and risk mitigation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70157131','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70157131"><span>A 600-ka <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice record from Mendeleev Ridge based on ostracodes</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Cronin, Thomas M.; Polyak, L.V.; Reed, D.; Kandiano, E. S.; Marzen, R. E.; Council, E. A.</p> <p>2013-01-01</p> <p><span class="hlt">Arctic</span> paleoceanography and <span class="hlt">sea</span>-ice history were reconstructed from epipelagic and benthic ostracodes from a sediment core (HLY0503-06JPC, 800 m water depth) located on the Mendeleev Ridge, Western <span class="hlt">Arctic</span> Ocean. The calcareous microfaunal record (ostracodes and foraminifers) covers several glacial/interglacial cycles back to estimated Marine Isotope Stage 13 (MIS 13, ∼500 ka) with an average sedimentation rate of ∼0.5 cm/ka for most of the stratigraphy (MIS 5–13). Results based on ostracode assemblages and an unusual planktic foraminiferal assemblage in MIS 11 dominated by a temperate-water species Turborotalita egelida show that extreme interglacial warmth, high surface ocean productivity, and possibly open ocean convection characterized MIS 11 and MIS 13 (∼400 and 500 ka, respectively). A major shift in western <span class="hlt">Arctic</span> Ocean environments toward perennial <span class="hlt">sea</span> ice occurred after MIS 11 based on the distribution of an ice-dwelling ostracode Acetabulastoma arcticum. Spectral analyses of the ostracode assemblages indicate <span class="hlt">sea</span> ice and mid-depth ocean circulation in western <span class="hlt">Arctic</span> Ocean varied primarily at precessional (∼22 ka) and obliquity (∼40 ka) frequencies.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC44B..03T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC44B..03T"><span>Multi-decadal <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice roughness.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tsamados, M.; Stroeve, J.; Kharbouche, S.; Muller, J. P., , Prof; Nolin, A. W.; Petty, A.; Haas, C.; Girard-Ardhuin, F.; Landy, J.</p> <p>2017-12-01</p> <p>The transformation of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from mainly perennial, multi-year ice to a seasonal, first-year ice is believed to have been accompanied by a reduction of the roughness of the ice cover surface. This smoothening effect has been shown to (i) modify the momentum and heat transfer between the atmosphere and ocean, (ii) to alter the ice thickness distribution which in turn controls the snow and melt pond repartition over the ice cover, and (iii) to bias airborne and satellite remote sensing measurements that depend on the scattering and reflective characteristics over the <span class="hlt">sea</span> ice surface topography. We will review existing and novel remote sensing methodologies proposed to estimate <span class="hlt">sea</span> ice roughness, ranging from airborne LIDAR measurement (ie Operation IceBridge), to backscatter coefficients from scatterometers (ASCAT, QUICKSCAT), to multi angle maging spectroradiometer (MISR), and to laser (Icesat) and radar altimeters (Envisat, Cryosat, Altika, Sentinel-3). We will show that by comparing and cross-calibrating these different products we can offer a consistent multi-mission, multi-decadal view of the declining <span class="hlt">sea</span> ice roughness. Implications for <span class="hlt">sea</span> ice physics, climate and remote sensing will also be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.5647K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.5647K"><span><span class="hlt">Arctic</span> energy budget in relation to <span class="hlt">sea</span>-ice variability on monthly to annual time scales</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Krikken, Folmer; Hazeleger, Wilco</p> <p>2015-04-01</p> <p>The strong decrease in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice in recent years has triggered a strong interest in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice predictions on seasonal to decadal time scales. Hence, it is key to understand physical processes that provide enhanced predictability beyond persistence of <span class="hlt">sea</span> ice anomalies. The authors report on an analysis of natural variability of <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice from an energy budget perspective, using 15 CMIP5 climate models, and comparing these results to atmospheric and oceanic reanalyses data. We quantify the persistence of <span class="hlt">sea</span> ice anomalies and the cross-correlation with the surface and top energy budget components. The <span class="hlt">Arctic</span> energy balance components primarily indicate the important role of the seasonal <span class="hlt">sea</span>-ice albedo feedback, in which <span class="hlt">sea</span>-ice anomalies in the melt season reemerge in the growth season. This is a robust anomaly reemergence mechanism among all 15 climate models. The role of ocean lies mainly in storing heat content anomalies in spring, and releasing them in autumn. Ocean heat flux variations only play a minor role. The role of clouds is further investigated. We demonstrate that there is no direct atmospheric response of clouds to spring <span class="hlt">sea</span>-ice anomalies, but a delayed response is evident in autumn. Hence, there is no cloud-ice feedback in late spring and summer, but there is a cloud-ice feedback in autumn, which strengthens the ice-albedo feedback. Anomalies in insolation are positively correlated with <span class="hlt">sea</span>-ice variability. This is primarily a result of reduced multiple-reflection of insolation due to an albedo decrease. This effect counteracts the <span class="hlt">sea</span>-ice albedo effect up to 50%. ERA-Interim and ORAS4 confirm the main findings from the climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.C54A..01W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.C54A..01W"><span>30 years of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness measurements by Royal Navy submarines</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wadhams, P.; Hughes, N.; Rodrigues, J. M.; Toberg, N.</p> <p>2009-12-01</p> <p>Royal Navy submarines fitted with upward-looking sonars have been collecting <span class="hlt">sea</span> ice thickness data in the <span class="hlt">Arctic</span> Ocean since the early 1970s. These data sets provide unique information on the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice thickness distribution and the way it has been changing in the past decades. In March 2007 HMS Tireless conducted a transect of the <span class="hlt">Arctic</span> Ocean from Fram Strait to the western Beaufort <span class="hlt">Sea</span> which gave the opportunity to measure the thickness of the <span class="hlt">sea</span> ice cover during the winter immediately preceding the exceptional retreat of summer 2007. Three years earlier, in April 2004, a voyage by the same submarine took <span class="hlt">sea</span> ice thickness data in the regions of Fram Strait, the Lincoln <span class="hlt">Sea</span> and the North Pole. We report on the ice draft, pressure ridge and lead distributions obtained in these two cruises and analyse the evolution of the ice cover from 2004 to 2007 in areas of coincident tracks. In the region from north of Fram Strait to Ellesmere Island (about 85°N, 0-70°W) we find no change in mean drafts between 2004 and 2007 although there is a change in ice composition, with more ridging in 2007 and a slight reduction of modal draft. This agrees with the concept of young ice being driven towards Fram Strait. The region north of Ellesmere Island continues to be a "redoubt" of very thick deformed multiyear ice. In 2007 the submarine profiled extensively under the DAMOCLES ice camp at about 85°N 64°W and under the SEDNA ice camp at about 73°N 145°W. The latter is in the same location as the 1976 AIDJEX ice camp and a sonar survey done by a US submarine in April 1976. We found that a large decrease in mean draft had occurred (32%) over 31 years and that in 2007 the SEDNA region contained the thinnest ice of any part of the <span class="hlt">Arctic</span> surveyed by the submarine. Under the DAMOCLES ice camp about 200km of topographic <span class="hlt">sea</span> ice data were gathered with a Kongsberg EM3002 multibeam (MB) sonar, making this the largest continuous data set of its kind. The MB data produce high</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140017431','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140017431"><span>Spatially Mapped Reductions in the Length of the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Season</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.</p> <p>2014-01-01</p> <p>Satellite data are used to determine the number of days having <span class="hlt">sea</span> ice coverage in each year 1979-2013 and to map the trends in these ice-season lengths. Over the majority of the <span class="hlt">Arctic</span> seasonal <span class="hlt">sea</span> ice zone, the ice season shortened at an average rate of at least 5 days/decade between 1979 and 2013, and in a small area in the northeastern Barents <span class="hlt">Sea</span> the rate of shortening reached over 65 days/decade. The only substantial non-coastal area with lengthening <span class="hlt">sea</span> ice seasons is the Bering <span class="hlt">Sea</span>, where the ice season lengthened by 5-15 days/decade. Over the <span class="hlt">Arctic</span> as a whole, the area with ice seasons shortened by at least 5 days/decade is 12.4 × 10(exp 6) square kilimeters, while the area with ice seasons lengthened by at least 5 days/decade is only 1.1 × 10(exp 6) square kilometers. The contrast is even greater, percentage-wise, for higher rates.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24429521','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24429521"><span>Convective forcing of mercury and ozone in the <span class="hlt">Arctic</span> boundary layer induced by leads in <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Moore, Christopher W; Obrist, Daniel; Steffen, Alexandra; Staebler, Ralf M; Douglas, Thomas A; Richter, Andreas; Nghiem, Son V</p> <p>2014-02-06</p> <p>The ongoing regime shift of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from perennial to seasonal ice is associated with more dynamic patterns of opening and closing <span class="hlt">sea</span>-ice leads (large transient channels of open water in the ice), which may affect atmospheric and biogeochemical cycles in the <span class="hlt">Arctic</span>. Mercury and ozone are rapidly removed from the atmospheric boundary layer during depletion events in the <span class="hlt">Arctic</span>, caused by destruction of ozone along with oxidation of gaseous elemental mercury (Hg(0)) to oxidized mercury (Hg(II)) in the atmosphere and its subsequent deposition to snow and ice. Ozone depletion events can change the oxidative capacity of the air by affecting atmospheric hydroxyl radical chemistry, whereas atmospheric mercury depletion events can increase the deposition of mercury to the <span class="hlt">Arctic</span>, some of which can enter ecosystems during snowmelt. Here we present near-surface measurements of atmospheric mercury and ozone from two <span class="hlt">Arctic</span> field campaigns near Barrow, Alaska. We find that coastal depletion events are directly linked to <span class="hlt">sea</span>-ice dynamics. A consolidated ice cover facilitates the depletion of Hg(0) and ozone, but these immediately recover to near-background concentrations in the upwind presence of open <span class="hlt">sea</span>-ice leads. We attribute the rapid recoveries of Hg(0) and ozone to lead-initiated shallow convection in the stable <span class="hlt">Arctic</span> boundary layer, which mixes Hg(0) and ozone from undepleted air masses aloft. This convective forcing provides additional Hg(0) to the surface layer at a time of active depletion chemistry, where it is subject to renewed oxidation. Future work will need to establish the degree to which large-scale changes in <span class="hlt">sea</span>-ice dynamics across the <span class="hlt">Arctic</span> alter ozone chemistry and mercury deposition in fragile <span class="hlt">Arctic</span> ecosystems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE44C1528D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE44C1528D"><span>The Effect of Recent Decreases in <span class="hlt">Sea</span> Ice Extent and Increases in SST on the Seasonal Availability of <span class="hlt">Arctic</span> Cod (Boreogadus saida) to Seabirds in the Beaufort <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Divoky, G.; Druckenmiller, M. L.</p> <p>2016-02-01</p> <p>With major decreases in pan-<span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice extent steadily underway, the Beaufort <span class="hlt">Sea</span> has been nearly ice-free in five of the last eight summers. This loss of a critical <span class="hlt">arctic</span> marine habitat and the concurrent warming of the recently ice-free waters could potentially cause major changes in the biological oceanography of the Beaufort <span class="hlt">Sea</span> and alter the distribution, abundance and condition of the region's upper trophic level predators that formerly relied on prey associated with <span class="hlt">sea</span> ice or cold (<2°C) surface waters. <span class="hlt">Arctic</span> cod (Boreogadus saida), the primary forage fish for seabirds in the Beaufort <span class="hlt">Sea</span>, is part of the cryopelagic fauna associated with <span class="hlt">sea</span> ice and is also found in adjacent ice-free waters. In the extreme western Beaufort <span class="hlt">Sea</span> near Cooper Island, <span class="hlt">Arctic</span> cod availability to breeding Black Guillemots (Cepphus grylle), a diving seabird, has declined since 2002. Guillemots are a good indicator of <span class="hlt">Arctic</span> cod availability in surface waters and the upper water column as they feed at depths of 1-20m. Currently, when <span class="hlt">sea</span> ice is absent from the nearshore and SST exceeds 4°C, guillemots are observed to seasonally shift from <span class="hlt">Arctic</span> cod to nearshore demersal prey, with a resulting decrease in nestling survival and quality. <span class="hlt">Arctic</span> cod is the primary prey for many of the seabirds utilizing the Beaufort <span class="hlt">Sea</span> as a post-breeding staging area and migratory corridor in late summer and early fall. The loss of approximately 200-300 thousand sq km of summer <span class="hlt">sea</span> ice habitat in recent years could be expected to affect the distribution, abundance, and movements of these species as there are few alternative fish resources in the region. We examine temporal and spatial variation in August <span class="hlt">sea</span> ice extent and SST in the Beaufort <span class="hlt">Sea</span> to determine the regions, periods and bird species that are potentially most affected as the Beaufort <span class="hlt">Sea</span> transitions to becoming regularly ice-free in late summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ClDy...50..423C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ClDy...50..423C"><span>An interannual link between <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice cover and the North Atlantic Oscillation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Caian, Mihaela; Koenigk, Torben; Döscher, Ralf; Devasthale, Abhay</p> <p>2018-01-01</p> <p>This work investigates links between <span class="hlt">Arctic</span> surface variability and the phases of the winter (DJF) North Atlantic Oscillation (NAO) on interannual time-scales. The analysis is based on ERA-reanalysis and model data from the EC-Earth global climate model. Our study emphasizes a mode of <span class="hlt">sea</span>-ice cover variability that leads the NAO index by 1 year. The mechanism of this leading is based on persistent surface forcing by quasi-stationary meridional thermal gradients. Associated thermal winds lead a slow adjustment of the pressure in the following winter, which in turn feeds-back on the propagation of <span class="hlt">sea</span>-ice anomalies. The pattern of the <span class="hlt">sea</span>-ice mode leading NAO has positive anomalies over key areas of South-Davis Strait-Labrador <span class="hlt">Sea</span>, the Barents <span class="hlt">Sea</span> and the Laptev-Ohkostsk <span class="hlt">seas</span>, associated to a high pressure anomaly over the Canadian Archipelago-Baffin Bay and the Laptev-East-Siberian <span class="hlt">seas</span>. These anomalies create a quasi-annular, quasi-steady, positive gradient of <span class="hlt">sea</span>-ice anomalies about coastal line (when leading the positive NAO phase) and force a cyclonic vorticity anomaly over the <span class="hlt">Arctic</span> in the following winter. During recent decades in spite of slight shifts in the modes' spectral properties, the same leading mechanism remains valid. Encouraging, actual models appear to reproduce the same mechanism leading model's NAO, relative to model areas of persistent surface forcing. This indicates that the link between <span class="hlt">sea</span>-ice and NAO could be exploited as a potential skill-source for multi-year prediction by addressing the key problem of initializing the phase of the NAO/AO (<span class="hlt">Arctic</span> Oscillation).</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_18 --> <div id="page_19" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="361"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMPA11A1952S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMPA11A1952S"><span>A (Mis)Match of User Needs, Science Priorities, and Funder Support: A Case Study of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Knowledge</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sheffield Guy, L.; Wiggins, H. V.; Turner-Bogren, E. J.; Myers, B.</p> <p>2016-12-01</p> <p>Declining <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, and its impacts on the <span class="hlt">Arctic</span> and globe, is a topic of increasing attention by scientists, diverse stakeholder groups, and the media. Research on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is broad and inter-disciplinary, ranging from new technologies to monitor <span class="hlt">sea</span> ice, to process studies, to examining the impacts of declining <span class="hlt">sea</span> ice on ecosystems and people. There remain barriers, however, in transferring scientific knowledge of <span class="hlt">sea</span> ice to serve decision-maker needs. This poster will examine possible causes of these barriers—including issues of communications across disciplines and perspectives, professional culture, funding agency restrictions, and the state of the science—through the lens of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice efforts that have occurred over the past several years. The poster will draw on experiences from the <span class="hlt">Sea</span> Ice for Walrus Outlook (https://www.arcus.org/search-program/siwo), the <span class="hlt">Sea</span> Ice Outlook (https://www.arcus.org/sipn/<span class="hlt">sea</span>-ice-outlook), and various science planning exercises. Finally, the poster will synthesize relevant efforts in this arena and highlight opportunities for improvement.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMPP21G..03M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMPP21G..03M"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability during the last deglaciation: a biomarker approach</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Müller, J.; Stein, R. H.</p> <p>2014-12-01</p> <p>The last transition from full glacial to current interglacial conditions was accompanied by distinct short-term climate fluctuations caused by changes in the global ocean circulation system. Most palaeoceanographic studies focus on the documentation of the behaviour of the Atlantic Meridional Overturning Circulation (AMOC) during the last deglaciation in response to freshwater forcing events. In this respect, the role of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice remained relatively unconsidered - primarily because of the difficulty of its reconstruction. Here we present new proxy data on late glacial (including the Last Glacial Maximum; LGM) and deglacial <span class="hlt">sea</span> ice variability in the <span class="hlt">Arctic</span> Ocean and its main gateway - the Fram Strait - and how these changes in <span class="hlt">sea</span> ice coverage contributed to AMOC perturbations observed during Heinrich Event 1 and the Younger Dryas. Recurrent short-term advances and retreats of <span class="hlt">sea</span> ice in Fram Strait, prior and during the LGM, are in line with a variable (or intermittent) North Atlantic heat flow along the eastern corridor of the Nordic <span class="hlt">Seas</span>. Possibly in direct response to the initial freshwater discharge from melting continental ice-sheets, a permanent <span class="hlt">sea</span> ice cover established only at about 19 ka BP (i.e. post-LGM) and lasted until 17.6 ka BP, when an abrupt break-up of this thick ice cover and a sudden discharge of huge amounts of <span class="hlt">sea</span> ice and icebergs through Fram Strait coincided with the weakening of the AMOC during Heinrich Event 1. Similarly, another <span class="hlt">sea</span> ice maximum at about 12.8 ka BP is associated with the slowdown of the AMOC during the Younger Dryas. The new data sets clearly highlight the important role of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice for the re-organisation of the oceanographic setting in the North Atlantic during the last deglaciation. Further studies and sensitivity experiments to identify crucial driving (and feedback) mechanisms within the High Latitude ice-ocean-atmosphere system will contribute the understanding of rapid climate changes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100030621&hterms=0day&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3D0day','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100030621&hterms=0day&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3D0day"><span>Recent Changes in <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt Onset, Freeze-Up, and Melt Season Length</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Markus, Thorsten; Stroeve, Julienne C.; Miller, Jeffrey</p> <p>2010-01-01</p> <p>In order to explore changes and trends in the timing of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt onset and freeze-up and therefore melt season length, we developed a method that obtains this information directly from satellite passive microwave data, creating a consistent data set from 1979 through present. We furthermore distinguish between early melt (the first day of the year when melt is detected) and the first day of continuous melt. A similar distinction is made for the freeze-up. Using this method we analyze trends in melt onset and freeze-up for 10 different <span class="hlt">Arctic</span> regions. In all regions except for the <span class="hlt">Sea</span> of Okhotsk, which shows a very slight and statistically insignificant positive trend (O.4 days/decade), trends in melt onset are negative, i.e. towards earlier melt. The trends range from -1.0day/decade for the Bering <span class="hlt">Sea</span> to -7.3 days/decade for the East Greenland <span class="hlt">Sea</span>. Except for the <span class="hlt">Sea</span> of Okhotsk all areas also show a trend towards later autumn freeze onset. The Chukchi/Beaufort <span class="hlt">Seas</span> and Laptev/East Siberian <span class="hlt">Seas</span> observe the strongest trends with 7 days/decade. For the entire <span class="hlt">Arctic</span>, the melt season length has increased by about 20 days over the last 30 years. Largest trends of over 1O days/decade are seen for Hudson Bay, the East Greenland <span class="hlt">Sea</span> the Laptev/East Siberian <span class="hlt">Seas</span>, and the Chukchi/Beaufort <span class="hlt">Seas</span>. Those trends are statistically significant a1 the 99% level.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRC..122.7466C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRC..122.7466C"><span>Modeling <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice algae: Physical drivers of spatial distribution and algae phenology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Castellani, Giulia; Losch, Martin; Lange, Benjamin A.; Flores, Hauke</p> <p>2017-09-01</p> <p>Algae growing in <span class="hlt">sea</span> ice represent a source of carbon for sympagic and pelagic ecosystems and contribute to the biological carbon pump. The biophysical habitat of <span class="hlt">sea</span> ice on large scales and the physical drivers of algae phenology are key to understanding <span class="hlt">Arctic</span> ecosystem dynamics and for predicting its response to ongoing <span class="hlt">Arctic</span> climate change. In addition, quantifying potential feedback mechanisms between algae and physical processes is particularly important during a time of great change. These mechanisms include a shading effect due to the presence of algae and increased basal ice melt. The present study shows pan-<span class="hlt">Arctic</span> results obtained from a new <span class="hlt">Sea</span> Ice Model for Bottom Algae (SIMBA) coupled with a 3-D <span class="hlt">sea</span>-ice-ocean model. The model is evaluated with data collected during a ship-based campaign to the Eastern Central <span class="hlt">Arctic</span> in summer 2012. The algal bloom is triggered by light and shows a latitudinal dependency. Snow and ice also play a key role in ice algal growth. Simulations show that after the spring bloom, algae are nutrient limited before the end of summer and finally they leave the ice habitat during ice melt. The spatial distribution of ice algae at the end of summer agrees with available observations, and it emphasizes the importance of thicker <span class="hlt">sea</span>-ice regions for hosting biomass. Particular attention is given to the distinction between level ice and ridged ice. Ridge-associated algae are strongly light limited, but they can thrive toward the end of summer, and represent an additional carbon source during the transition into polar night.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRC..122.8593S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRC..122.8593S"><span>An Assessment of State-of-the-Art Mean <span class="hlt">Sea</span> Surface and Geoid Models of the <span class="hlt">Arctic</span> Ocean: Implications for <span class="hlt">Sea</span> Ice Freeboard Retrieval</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Skourup, Henriette; Farrell, Sinéad Louise; Hendricks, Stefan; Ricker, Robert; Armitage, Thomas W. K.; Ridout, Andy; Andersen, Ole Baltazar; Haas, Christian; Baker, Steven</p> <p>2017-11-01</p> <p>State-of-the-art <span class="hlt">Arctic</span> Ocean mean <span class="hlt">sea</span> surface (MSS) models and global geoid models (GGMs) are used to support <span class="hlt">sea</span> ice freeboard estimation from satellite altimeters, as well as in oceanographic studies such as mapping <span class="hlt">sea</span> level anomalies and mean dynamic ocean topography. However, errors in a given model in the high-frequency domain, primarily due to unresolved gravity features, can result in errors in the estimated along-track freeboard. These errors are exacerbated in areas with a sparse lead distribution in consolidated ice pack conditions. Additionally model errors can impact ocean geostrophic currents, derived from satellite altimeter data, while remaining biases in these models may impact longer-term, multisensor oceanographic time series of <span class="hlt">sea</span> level change in the <span class="hlt">Arctic</span>. This study focuses on an assessment of five state-of-the-art <span class="hlt">Arctic</span> MSS models (UCL13/04 and DTU15/13/10) and a commonly used GGM (EGM2008). We describe errors due to unresolved gravity features, intersatellite biases, and remaining satellite orbit errors, and their impact on the derivation of <span class="hlt">sea</span> ice freeboard. The latest MSS models, incorporating CryoSat-2 <span class="hlt">sea</span> surface height measurements, show improved definition of gravity features, such as the Gakkel Ridge. The standard deviation between models ranges 0.03-0.25 m. The impact of remaining MSS/GGM errors on freeboard retrieval can reach several decimeters in parts of the <span class="hlt">Arctic</span>. While the maximum observed freeboard difference found in the central <span class="hlt">Arctic</span> was 0.59 m (UCL13 MSS minus EGM2008 GGM), the standard deviation in freeboard differences is 0.03-0.06 m.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26582841','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26582841"><span>Predictions replaced by facts: a keystone species' behavioural responses to declining <span class="hlt">arctic</span> <span class="hlt">sea</span>-ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hamilton, Charmain D; Lydersen, Christian; Ims, Rolf A; Kovacs, Kit M</p> <p>2015-11-01</p> <p>Since the first documentation of climate-warming induced declines in <span class="hlt">arctic</span> <span class="hlt">sea</span>-ice, predictions have been made regarding the expected negative consequences for endemic marine mammals. But, several decades later, little hard evidence exists regarding the responses of these animals to the ongoing environmental changes. Herein, we report the first empirical evidence of a dramatic shift in movement patterns and foraging behaviour of the <span class="hlt">arctic</span> endemic ringed seal (Pusa hispida), before and after a major collapse in <span class="hlt">sea</span>-ice in Svalbard, Norway. Among other changes to the ice-regime, this collapse shifted the summer position of the marginal ice zone from over the continental shelf, northward to the deep <span class="hlt">Arctic</span> Ocean Basin. Following this change, which is thought to be a 'tipping point', subadult ringed seals swam greater distances, showed less area-restricted search behaviour, dived for longer periods, exhibited shorter surface intervals, rested less on <span class="hlt">sea</span>-ice and did less diving directly beneath the ice during post-moulting foraging excursions. In combination, these behavioural changes suggest increased foraging effort and thus also likely increases in the energetic costs of finding food. Continued declines in <span class="hlt">sea</span>-ice are likely to result in distributional changes, range reductions and population declines in this keystone <span class="hlt">arctic</span> species. © 2015 The Author(s).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.C53B..02O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.C53B..02O"><span>Collaborative, International Efforts at Estimating <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Processes During IPY (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Overland, J. E.; Eicken, H.; Wiggins, H. V.</p> <p>2009-12-01</p> <p>Planning for the fourth IPY was conducted during a time of moderate decadal change in the <span class="hlt">Arctic</span>. However, after this initial planning was completed, further rapid changes were seen, including a 39 % reduction in summer <span class="hlt">sea</span> ice extent in 2007 and 2008 relative to the 1980s-1990s, loss of multi-year <span class="hlt">sea</span> ice, and increased <span class="hlt">sea</span> ice mobility. The SEARCH and DAMOCLES Programs endeavored to increase communication within the research community to promote observations and understanding of rapidly changing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice conditions during IPY. In May 2008 a web-based <span class="hlt">Sea</span> Ice Outlook was initiated, an international collaborative effort that synthesizes, on a monthly basis throughout the summer, the community’s projections for September <span class="hlt">arctic</span> <span class="hlt">sea</span> ice extent. Each month, participating investigators provided a projection for the mean September <span class="hlt">sea</span> ice extent based on spring and early summer data, along with a rationale for their estimates. The Outlook continued in summer of 2009. The Outlook is a method of rapidly synthesizing a broad range of remote sensing and field observations collected at the peak of the IPY, with analysis methods ranging from heuristic to statistical to ice-ocean model ensemble runs. The 2008 Outlook was a success with 20 groups participating and providing a median <span class="hlt">sea</span> ice extent projection from June 2008 data of 4.4 million square kilometers (MSQK)—near the observed extent in September 2008 of 4.7 MSQK, and well below the 1979-2007 climatological extent of 6.7 MSQK. More importantly, the contrast of <span class="hlt">sea</span> ice conditions and atmospheric forcing in 2008 compared to 2007 provided clues to the future fate of <span class="hlt">arctic</span> <span class="hlt">sea</span> ice. The question was whether the previous loss of multi-year ice and delay in autumn freeze-up in 2007 would allow sufficient winter thickening of <span class="hlt">sea</span> ice to last through the summer 2008, promoting recovery from the 2007 minimum, or whether most first-year <span class="hlt">sea</span> ice would melt out as in 2005 and 2007, resulting in a new record minimum extent</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.A34B..01T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.A34B..01T"><span>Can <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice melt be explained by atmospheric meridional transports? (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tjernstrom, M. K.; Graversen, R. G.</p> <p>2010-12-01</p> <p>The <span class="hlt">Arctic</span> summer <span class="hlt">sea</span> ice is melting away at an alarming rate, and it is now expected that an principally <span class="hlt">sea</span>-ice free <span class="hlt">Arctic</span> summer will occur much earlier than projected by the IPCC AR4 models. At the same time <span class="hlt">Arctic</span> near-surface temperatures are rising at a rate much faster than the global average. The processes responsible for these changes are debated and many claim that local feedbacks, such as the surface albedo feedback, are the main culprits while other argue that remote effects, such as atmospheric circulation changes on synoptic and hemispheric scales, are the most important. We will explore the effects of the meridional transport by synoptic and larger scale atmospheric circulation on recent changes, using reanalysis data. It will be illustarated how this transport can contribute significant amounts of sensible heat, but also of atmospheric moisture such that local cloud feedbacks as well as the direct greenhouse effect of the water vapor contributes significantly to the surface energy balance over the <span class="hlt">Arctic</span> polar cap.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMOS23A1174H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMOS23A1174H"><span>Differences between the bacterial community structures of first- and multi-year <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in the Lincoln <span class="hlt">Sea</span>.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hatam, I.; Beckers, J. F.; Haas, C.; Lanoil, B. D.</p> <p>2014-12-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice composition is shifting from predominantly thick perennial ice (multiyear ice -MYI) to thinner, seasonal ice (first year ice -FYI). The effects of the shift on the <span class="hlt">Arctic</span> ecosystem and macro-organisms of the <span class="hlt">Arctic</span> Ocean have been the focus of many studies and have also been extensively debated in the public domain. The effect of this shift on the microbial constituents of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has been grossly understudied, although it is a vast habitat for a microbial community that plays a key role in the biogeochemical cycles and energy flux of the <span class="hlt">Arctic</span> Ocean. MYI and FYI differ in many chemical and physical attributes (e.g. bulk salinity, brine volume, thickness and age), therefore comparing and contrasting the structure and composition of microbial communities from both ice types will be crucial to our understanding of the challenges that the <span class="hlt">Arctic</span> Ocean ecosystem faces as MYI cover continues to decline. Here, we contend that due to the differences in abiotic conditions, differences in bacterial community structure will be greater between samples from different ice types than within samples from the same ice type. We also argue that since FYI is younger, its community structure will be closer to that of the surface <span class="hlt">sea</span> water (SW). To test this hypotheses, we extracted DNA and used high throughput sequencing to sequence V1-V3 regions of the bacterial 16s rRNA gene from 10 <span class="hlt">sea</span> ice samples (5 for each ice type) and 4 surface <span class="hlt">sea</span> water (SW) collected off the shore of Northern Ellesmere Island, NU, CAN, during the month of May from 2010-2012. Our results showed that observed richness was higher in FYI than MYI. FYI and MYI shared 26% and 36% of their observed richness respectively. While FYI shared 23% of its observed richness with SW, MYI only shared 17%. Both ice types showed similar levels of endemism (61% of the observed richness). This high level of endemism results in the grouping of microbial communities from MYI, FYI, and SW to three</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4607701','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4607701"><span><span class="hlt">Arctic</span> circulation regimes</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Proshutinsky, Andrey; Dukhovskoy, Dmitry; Timmermans, Mary-Louise; Krishfield, Richard; Bamber, Jonathan L.</p> <p>2015-01-01</p> <p>Between 1948 and 1996, mean annual environmental parameters in the <span class="hlt">Arctic</span> experienced a well-pronounced decadal variability with two basic circulation patterns: cyclonic and anticyclonic alternating at 5 to 7 year intervals. During cyclonic regimes, low <span class="hlt">sea</span>-level atmospheric pressure (SLP) dominated over the <span class="hlt">Arctic</span> Ocean driving <span class="hlt">sea</span> ice and the upper ocean counterclockwise; the <span class="hlt">Arctic</span> atmosphere was relatively warm and humid, and freshwater flux from the <span class="hlt">Arctic</span> Ocean towards the subarctic <span class="hlt">seas</span> was intensified. By contrast, during anticylonic circulation regimes, high SLP dominated driving <span class="hlt">sea</span> ice and the upper ocean clockwise. Meanwhile, the atmosphere was cold and dry and the freshwater flux from the <span class="hlt">Arctic</span> to the subarctic <span class="hlt">seas</span> was reduced. Since 1997, however, the <span class="hlt">Arctic</span> system has been under the influence of an anticyclonic circulation regime (17 years) with a set of environmental parameters that are atypical for this regime. We discuss a hypothesis explaining the causes and mechanisms regulating the intensity and duration of <span class="hlt">Arctic</span> circulation regimes, and speculate how changes in freshwater fluxes from the <span class="hlt">Arctic</span> Ocean and Greenland impact environmental conditions and interrupt their decadal variability. PMID:26347536</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28835469','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28835469"><span><span class="hlt">Sea</span>-ice induced growth decline in <span class="hlt">Arctic</span> shrubs.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Forchhammer, Mads</p> <p>2017-08-01</p> <p>Measures of increased tundra plant productivity have been associated with the accelerating retreat of the <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice. Emerging studies document opposite effects, advocating for a more complex relationship between the shrinking <span class="hlt">sea</span>-ice and terrestrial plant productivity. I introduce an autoregressive plant growth model integrating effects of biological and climatic conditions for analysing individual ring-width growth time series. Using 128 specimens of Salix arctica , S. glauca and Betula nana sampled across Greenland to Svalbard, an overall negative effect of the retreating June <span class="hlt">sea</span>-ice extent was found on the annual growth. The negative effect of the retreating June <span class="hlt">sea</span>-ice was observed for younger individuals with large annual growth allocations and with little or no trade-off between previous and current year's growth. © 2017 The Author(s).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012JGRD..11711115P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012JGRD..11711115P"><span>Local and large-scale atmospheric responses to reduced <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and ocean warming in the WRF model</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Porter, David F.; Cassano, John J.; Serreze, Mark C.</p> <p>2012-06-01</p> <p>The Weather Research and Forecasting (WRF) model is used to explore the sensitivity of the large-scale atmospheric energy and moisture budgets to prescribed changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and <span class="hlt">sea</span> surface temperatures (SSTs). Observed <span class="hlt">sea</span> ice fractions and SSTs from 1996 and 2007, representing years of high and low <span class="hlt">sea</span> ice extent, are used as lower boundary conditions. A pan-<span class="hlt">Arctic</span> domain extending into the North Pacific and Atlantic Oceans is used. ERA-Interim reanalysis data from 1994 to 2008 are employed as initial and lateral forcing data for each high and low <span class="hlt">sea</span> ice simulation. The addition of a third ensemble, with a mixed SST field between years 1996 and 2007 (using 2007 SSTs above 66°N and 1996 values below), results in a total of three 15-member ensembles. Results of the simulations show both local and remote responses to reduced <span class="hlt">sea</span> ice. The local polar cap averaged response is largest in October and November, dominated by increased turbulent heat fluxes resulting in vertically deep heating and moistening of the <span class="hlt">Arctic</span> atmosphere. This warmer and moister atmosphere is associated with an increase in cloud cover, affecting the surface and atmospheric energy budgets. There is an enhancement of the hydrologic cycle, with increased evaporation in areas of <span class="hlt">sea</span> ice loss paired with increased precipitation. Most of the <span class="hlt">Arctic</span> climate response results from within-<span class="hlt">Arctic</span> changes, although some changes in the hydrologic cycle reflect circulation responses to midlatitude SST forcing, highlighting the general sensitivity of the <span class="hlt">Arctic</span> climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70187743','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70187743"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice a major determinant in Mandt's black guillemot movement and distribution during non-breeding season</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Divoky, G.J.; Douglas, David C.; Stenhouse, I. J.</p> <p>2016-01-01</p> <p>Mandt's black guillemot (Cepphus grylle mandtii) is one of the few seabirds associated in all seasons with <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, a habitat that is changing rapidly. Recent decreases in summer ice have reduced breeding success and colony size of this species in <span class="hlt">Arctic</span> Alaska. Little is known about the species' movements and distribution during the nine month non-breeding period (September–May), when changes in <span class="hlt">sea</span> ice extent and composition are also occurring and predicted to continue. To examine bird movements and the seasonal role of <span class="hlt">sea</span> ice to non-breeding Mandt's black guillemots, we deployed and recovered (n = 45) geolocators on individuals at a breeding colony in <span class="hlt">Arctic</span> Alaska during 2011–2015. Black guillemots moved north to the marginal ice zone (MIZ) in the Beaufort and Chukchi <span class="hlt">seas</span> immediately after breeding, moved south to the Bering <span class="hlt">Sea</span> during freeze-up in December, and wintered in the Bering <span class="hlt">Sea</span> January–April. Most birds occupied the MIZ in regions averaging 30–60% <span class="hlt">sea</span> ice concentration, with little seasonal variation. Birds regularly roosted on ice in all seasons averaging 5 h d−1, primarily at night. By using the MIZ, with its roosting opportunities and associated prey, black guillemots can remain in the <span class="hlt">Arctic</span> during winter when littoral waters are completely covered by ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.A31A0075D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.A31A0075D"><span>The impact of 21st Century <span class="hlt">sea</span> ice decline on the hydrological budget of the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Day, J. J.; Bamber, J. L.; Valdes, P. J.; Kohler, J.</p> <p>2009-12-01</p> <p>The <span class="hlt">Arctic</span> is a region particularly susceptible to rapid climate change. GCMs suggest a polar amplification of any global warming signal by about 1.5 due, largely, to <span class="hlt">sea</span> ice feedbacks. The dramatic recent decline in multi-year ice cover lies outside the standard deviation of the ensemble GCM predictions and has lead to the suggestion that the <span class="hlt">Arctic</span> Ocean could be ice free in summer as soon as ~2014. <span class="hlt">Sea</span> ice acts as a barrier between cold air and warmer oceans during winter, as well as inhibiting evaporation from the water below during the summer. An ice free <span class="hlt">Arctic</span> would likely have an altered hydrological cycle with more evaporation from the ocean surface leading to changes in precipitation distribution and amount. For example, changes in <span class="hlt">sea</span> ice cover are thought to have caused changes in the mass balance of Europe’s largest ice cap, Austfona, Svalbard, by increasing accumulation. Using the U.K. Met Office Regional Climate Model (RCM), HadRM3, the atmospheric effects of the observed and projected reduction in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice are investigated. The RCM is driven by the atmosphere only general circulation model HadAM3. Both models are forced with <span class="hlt">sea</span> surface temperature and <span class="hlt">sea</span> ice obtained by extrapolating recent changes into the future using bootstrapping based on the HadISST climatology. Here we use an RCM at 25km resolution over the <span class="hlt">Arctic</span> which captures well the present-day pattern of precipitation and provides a detailed picture of the projected changes in the behaviour of the oceanic-atmosphere moisture fluxes and how they affect precipitation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160010671&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dsea','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160010671&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dsea"><span>Covariance Between <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice and Clouds Within Atmospheric State Regimes at the Satellite Footprint Level</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Taylor, Patrick C.; Kato, Seiji; Xu, Kuan-Man; Cai, Ming</p> <p>2015-01-01</p> <p>Understanding the cloud response to <span class="hlt">sea</span> ice change is necessary for modeling <span class="hlt">Arctic</span> climate. Previous work has primarily addressed this problem from the interannual variability perspective. This paper provides a refined perspective of <span class="hlt">sea</span> ice-cloud relationship in the <span class="hlt">Arctic</span> using a satellite footprint-level quantification of the covariance between <span class="hlt">sea</span> ice and <span class="hlt">Arctic</span> low cloud properties from NASA A-Train active remote sensing data. The covariances between <span class="hlt">Arctic</span> low cloud properties and <span class="hlt">sea</span> ice concentration are quantified by first partitioning each footprint into four atmospheric regimes defined using thresholds of lower tropospheric stability and mid-tropospheric vertical velocity. Significant regional variability in the cloud properties is found within the atmospheric regimes indicating that the regimes do not completely account for the influence of meteorology. Regional anomalies are used to account for the remaining meteorological influence on clouds. After accounting for meteorological regime and regional influences, a statistically significant but weak covariance between cloud properties and <span class="hlt">sea</span> ice is found in each season for at least one atmospheric regime. Smaller average cloud fraction and liquid water are found within footprints with more <span class="hlt">sea</span> ice. The largest-magnitude cloud-<span class="hlt">sea</span> ice covariance occurs between 500m and 1.2 km when the lower tropospheric stability is between 16 and 24 K. The covariance between low cloud properties and <span class="hlt">sea</span> ice is found to be largest in fall and is accompanied by significant changes in boundary layer temperature structure where larger average near-surface static stability is found at larger <span class="hlt">sea</span> ice concentrations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5070557','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5070557"><span>Covariance between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and clouds within atmospheric state regimes at the satellite footprint level</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Kato, Seiji; Xu, Kuan‐Man; Cai, Ming</p> <p>2015-01-01</p> <p>Abstract Understanding the cloud response to <span class="hlt">sea</span> ice change is necessary for modeling <span class="hlt">Arctic</span> climate. Previous work has primarily addressed this problem from the interannual variability perspective. This paper provides a refined perspective of <span class="hlt">sea</span> ice‐cloud relationship in the <span class="hlt">Arctic</span> using a satellite footprint‐level quantification of the covariance between <span class="hlt">sea</span> ice and <span class="hlt">Arctic</span> low cloud properties from NASA A‐Train active remote sensing data. The covariances between <span class="hlt">Arctic</span> low cloud properties and <span class="hlt">sea</span> ice concentration are quantified by first partitioning each footprint into four atmospheric regimes defined using thresholds of lower tropospheric stability and midtropospheric vertical velocity. Significant regional variability in the cloud properties is found within the atmospheric regimes indicating that the regimes do not completely account for the influence of meteorology. Regional anomalies are used to account for the remaining meteorological influence on clouds. After accounting for meteorological regime and regional influences, a statistically significant but weak covariance between cloud properties and <span class="hlt">sea</span> ice is found in each season for at least one atmospheric regime. Smaller average cloud fraction and liquid water are found within footprints with more <span class="hlt">sea</span> ice. The largest‐magnitude cloud‐<span class="hlt">sea</span> ice covariance occurs between 500 m and 1.2 km when the lower tropospheric stability is between 16 and 24 K. The covariance between low cloud properties and <span class="hlt">sea</span> ice is found to be largest in fall and is accompanied by significant changes in boundary layer temperature structure where larger average near‐surface static stability is found at larger <span class="hlt">sea</span> ice concentrations. PMID:27818851</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27818851','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27818851"><span>Covariance between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and clouds within atmospheric state regimes at the satellite footprint level.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Taylor, Patrick C; Kato, Seiji; Xu, Kuan-Man; Cai, Ming</p> <p>2015-12-27</p> <p>Understanding the cloud response to <span class="hlt">sea</span> ice change is necessary for modeling <span class="hlt">Arctic</span> climate. Previous work has primarily addressed this problem from the interannual variability perspective. This paper provides a refined perspective of <span class="hlt">sea</span> ice-cloud relationship in the <span class="hlt">Arctic</span> using a satellite footprint-level quantification of the covariance between <span class="hlt">sea</span> ice and <span class="hlt">Arctic</span> low cloud properties from NASA A-Train active remote sensing data. The covariances between <span class="hlt">Arctic</span> low cloud properties and <span class="hlt">sea</span> ice concentration are quantified by first partitioning each footprint into four atmospheric regimes defined using thresholds of lower tropospheric stability and midtropospheric vertical velocity. Significant regional variability in the cloud properties is found within the atmospheric regimes indicating that the regimes do not completely account for the influence of meteorology. Regional anomalies are used to account for the remaining meteorological influence on clouds. After accounting for meteorological regime and regional influences, a statistically significant but weak covariance between cloud properties and <span class="hlt">sea</span> ice is found in each season for at least one atmospheric regime. Smaller average cloud fraction and liquid water are found within footprints with more <span class="hlt">sea</span> ice. The largest-magnitude cloud-<span class="hlt">sea</span> ice covariance occurs between 500 m and 1.2 km when the lower tropospheric stability is between 16 and 24 K. The covariance between low cloud properties and <span class="hlt">sea</span> ice is found to be largest in fall and is accompanied by significant changes in boundary layer temperature structure where larger average near-surface static stability is found at larger <span class="hlt">sea</span> ice concentrations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013JGRF..118.1533D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013JGRF..118.1533D"><span>The Greenland Ice Sheet's surface mass balance in a seasonally <span class="hlt">sea</span> ice-free <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Day, J. J.; Bamber, J. L.; Valdes, P. J.</p> <p>2013-09-01</p> <p>General circulation models predict a rapid decrease in <span class="hlt">sea</span> ice extent with concurrent increases in near-surface air temperature and precipitation in the <span class="hlt">Arctic</span> over the 21st century. This has led to suggestions that some <span class="hlt">Arctic</span> land ice masses may experience an increase in accumulation due to enhanced evaporation from a seasonally <span class="hlt">sea</span> ice-free <span class="hlt">Arctic</span> Ocean. To investigate the impact of this phenomenon on Greenland Ice Sheet climate and surface mass balance (SMB), a regional climate model, HadRM3, was used to force an insolation-temperature melt SMB model. A set of experiments designed to investigate the role of <span class="hlt">sea</span> ice independently from <span class="hlt">sea</span> surface temperature (SST) forcing are described. In the warmer and wetter SI + SST simulation, Greenland experiences a 23% increase in winter SMB but 65% reduced summer SMB, resulting in a net decrease in the annual value. This study shows that <span class="hlt">sea</span> ice decline contributes to the increased winter balance, causing 25% of the increase in winter accumulation; this is largest in eastern Greenland as the result of increased evaporation in the Greenland <span class="hlt">Sea</span>. These results indicate that the seasonal cycle of Greenland's SMB will increase dramatically as global temperatures increase, with the largest changes in temperature and precipitation occurring in winter. This demonstrates that the accurate prediction of changes in <span class="hlt">sea</span> ice cover is important for predicting Greenland SMB and ice sheet evolution.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE14B1411P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE14B1411P"><span>Atmospheric form drag over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice derived from high-resolution IceBridge elevation data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Petty, A.; Tsamados, M.; Kurtz, N. T.</p> <p>2016-02-01</p> <p>Here we present a detailed analysis of atmospheric form drag over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, using high resolution, three-dimensional surface elevation data from the NASA Operation IceBridge Airborne Topographic Mapper (ATM) laser altimeter. Surface features in the <span class="hlt">sea</span> ice cover are detected using a novel feature-picking algorithm. We derive information regarding the height, spacing and orientation of unique surface features from 2009-2014 across both first-year and multiyear ice regimes. The topography results are used to explicitly calculate atmospheric form drag coefficients; utilizing existing form drag parameterizations. The atmospheric form drag coefficients show strong regional variability, mainly due to variability in ice type/age. The transition from a perennial to a seasonal ice cover therefore suggest a decrease in the atmospheric form drag coefficients over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in recent decades. These results are also being used to calibrate a recent form drag parameterization scheme included in the <span class="hlt">sea</span> ice model CICE, to improve the representation of form drag over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice in global climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A33B0143S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A33B0143S"><span>Influence of <span class="hlt">sea</span>-ice coverage, <span class="hlt">sea</span>-surface temperatures and latent heat release on baroclinic instability of an <span class="hlt">Arctic</span> cyclone</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Semenov, A.; Zhang, X.</p> <p>2012-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has shrunk drastically and <span class="hlt">Arctic</span> storm activity has intensified over last decades. To improve understanding air-ice-<span class="hlt">sea</span> interactions in the context of storm activity, we conducted a modeling study of a selected intense storm that invaded and was persistent for prolonged time in the central <span class="hlt">Arctic</span> Ocean during March 16-22, 2011. A series of control and sensitivity simulations were carried out by employing the Weather Research and Forecasting (WRF) model, which was configured using two nested domains at a resolution of 10 km for the inner domain and 30 km for the outer domain. The control simulations well captured the cyclone genesis, regeneration, track and intensity. Diagnostic analysis and a comparison between the and sensitivity experiments suggest that the strong intensity, regeneration, and long-lasting duration of the cyclone were driven by unusually sustained baroclinic instability, which was resulted due to (1) anomalously reduced <span class="hlt">sea</span>-ice coverage and strong advection of heat, moisture and vorticity from the North Atlantic; and (2) a release of latent heat due to condensation.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_19 --> <div id="page_20" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="381"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70024388','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70024388"><span>Contaminants in <span class="hlt">arctic</span> snow collected over northwest Alaskan <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Garbarino, J.R.; Snyder-Conn, E.; Leiker, T.J.; Hoffman, G.L.</p> <p>2002-01-01</p> <p>Snow cores were collected over <span class="hlt">sea</span> ice from four northwest Alaskan <span class="hlt">Arctic</span> estuaries that represented the annual snowfall from the 1995-1996 season. Dissolved trace metals, major cations and anions, total mercury, and organochlorine compounds were determined and compared to concentrations in previous <span class="hlt">arctic</span> studies. Traces (<4 nanograms per liter, ng L-1) of cis- and trans-chlordane, dimethyl 2,3,5,6-tetrachloroterephthalate, dieldrin, endosulfan II, and PCBs were detected in some samples, with endosulfan I consistently present. High chlorpyrifos concentrations (70-80 ng L-1) also were estimated at three sites. The snow was highly enriched in sulfates (69- 394 mg L-1), with high proportions of nonsea salt sulfates at three of five sites (9 of 15 samples), thus indicating possible contamination through long-distance transport and deposition of sulfate-rich atmospheric aerosols. Mercury, cadmium, chromium, molybdenum, and uranium were typically higher in the marine snow (n = 15) in relation to snow from <span class="hlt">arctic</span> terrestrial studies, whereas cations associated with terrigenous sources, such as aluminum, frequently were lower over the <span class="hlt">sea</span> ice. One Kasegaluk Lagoon site (Chukchi <span class="hlt">Sea</span>) had especially high concentrations of total mercury (mean = 214 ng L-1, standard deviation = 5 ng L-1), but no methyl mercury was detected above the method detection limit (0.036 ng L-1) at any of the sites. Elevated concentrations of sulfate, mercury, and certain heavy metals might indicate mechanisms of contaminant loss from the <span class="hlt">arctic</span> atmosphere over marine water not previously reported over land areas. Scavenging by snow, fog, or riming processes and the high content of deposited halides might facilitate the loss of such contaminants from the atmosphere. Both the mercury and chlorpyrifos concentrations merit further investigation in view of their toxicity to aquatic organisms at low concentrations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29621173','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29621173"><span>Statistical Analysis of SSMIS <span class="hlt">Sea</span> Ice Concentration Threshold at the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Edge during Summer Based on MODIS and Ship-Based Observational Data.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ji, Qing; Li, Fei; Pang, Xiaoping; Luo, Cong</p> <p>2018-04-05</p> <p>The threshold of <span class="hlt">sea</span> ice concentration (SIC) is the basis for accurately calculating <span class="hlt">sea</span> ice extent based on passive microwave (PM) remote sensing data. However, the PM SIC threshold at the <span class="hlt">sea</span> ice edge used in previous studies and released <span class="hlt">sea</span> ice products has not always been consistent. To explore the representable value of the PM SIC threshold corresponding on average to the position of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice edge during summer in recent years, we extracted <span class="hlt">sea</span> ice edge boundaries from the Moderate-resolution Imaging Spectroradiometer (MODIS) <span class="hlt">sea</span> ice product (MOD29 with a spatial resolution of 1 km), MODIS images (250 m), and <span class="hlt">sea</span> ice ship-based observation points (1 km) during the fifth (CHINARE-2012) and sixth (CHINARE-2014) Chinese National <span class="hlt">Arctic</span> Research Expeditions, and made an overlay and comparison analysis with PM SIC derived from Special Sensor Microwave Imager Sounder (SSMIS, with a spatial resolution of 25 km) in the summer of 2012 and 2014. Results showed that the average SSMIS SIC threshold at the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice edge based on ice-water boundary lines extracted from MOD29 was 33%, which was higher than that of the commonly used 15% discriminant threshold. The average SIC threshold at <span class="hlt">sea</span> ice edge based on ice-water boundary lines extracted by visual interpretation from four scenes of the MODIS image was 35% when compared to the average value of 36% from the MOD29 extracted ice edge pixels for the same days. The average SIC of 31% at the <span class="hlt">sea</span> ice edge points extracted from ship-based observations also confirmed that choosing around 30% as the SIC threshold during summer is recommended for <span class="hlt">sea</span> ice extent calculations based on SSMIS PM data. These results can provide a reference for further studying the variation of <span class="hlt">sea</span> ice under the rapidly changing <span class="hlt">Arctic</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1913797J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1913797J"><span>Atmospheric winter response to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice changes in reanalysis data and model simulations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jaiser, Ralf; Nakamura, Tetsu; Handorf, Dörthe; Romanowsky, Erik; Dethloff, Klaus; Ukita, Jinro; Yamazaki, Koji</p> <p>2017-04-01</p> <p>In recent years, <span class="hlt">Arctic</span> regions showcased the most pronounced signals of a changing climate: <span class="hlt">Sea</span> ice is reduced by more the ten percent per decade. At the same time, global warming trends have their maximum in <span class="hlt">Arctic</span> latitudes often labled <span class="hlt">Arctic</span> Amplification. There is strong evidence that amplified <span class="hlt">Arctic</span> changes feed back into mid-latitudes in winter. We identified mechanisms that link recent <span class="hlt">Arctic</span> changes through vertically propagating planetary waves to events of a weakened stratospheric polar vortex. Related anomalies propagate downward and lead to negative AO-like situations in the troposphere. European winter climate is sensitive to negative AO situations in terms of cold air outbreaks that are likely to occur more often in that case. These results based on ERA-Interim reanalysis data do not allow to dismiss other potential forcing factors leading to observed mid-latitude climate changes. Nevertheless, properly designed Atmospheric General Circulation Model (AGCM) experiments with AFES and ECHAM6 are able to reproduce observed atmospheric circulation changes if only observed <span class="hlt">sea</span> ice changes in the <span class="hlt">Arctic</span> are prescribed. This allows to deduce mechanisms that explain how <span class="hlt">Arctic</span> Amplification can lead to a negative AO response via a stratospheric pathway. Further investigation of these mechanisms may feed into improved prediction systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018IzAOP..54..206K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018IzAOP..54..206K"><span>Critical Latitude in Tidal Dynamics Using the <span class="hlt">Kara</span> <span class="hlt">Sea</span> as an Example</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kagan, B. A.; Sofina, E. V.; Timofeev, A. A.</p> <p>2018-03-01</p> <p>It is well known that, within the linear nonviscous equations of tidal dynamics, the amplitudes of oscillations of the barotropic and baroclinic tidal velocity components unlimitedly increase when approaching the critical latitude. It is also known that the linear equations of tidal dynamics with a constant and specified vertical eddy viscosity indicate the occurrence of significant tidal velocity shears in the near-bottom layer, which are responsible for increasing the baroclinic tidal energy dissipation, the turbulent kinetic energy, and the thickness of the bottom boundary layer. The first circumstance—the growth of the amplitudes of oscillations of the barotropic and baroclinic tidal velocity components—is due to the elimination in the original equations of small terms, which are small everywhere except for the critical latitude zone. The second circumstance—the occurrence of significant tidal velocity shears—is due to the fact that internal tidal waves, which induce the dissipation of the baroclinic tidal energy and the diapycnal diffusion, are either not taken into account or described inadequately. It is suggested that diapycnal diffusion can lead to the degeneration (complete or partial) of tidal velocity shears, with all the ensuing consequences. The aforesaid is confirmed by simulation results obtained using the QUODDY-4 high-resolution three-dimensional finite-element hydrostatic model along the 66.25° E section, which passes in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> across the critical latitude.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007AGUFMED11A0111M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007AGUFMED11A0111M"><span>Whither <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice? - An Earth Exploration Toolbook chapter on the climate's canary in a coal mine</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Meier, W. N.; Youngman, E.; Dahlman, L.</p> <p>2007-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is declining rapidly. Since 2002, summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extents have been at record or near-record lows; winter extents have also showed a marked decline. Even in comparison to the previous five extreme low years, the 2007 summer melt season has been stunning, with dramatically less ice than the previous record in 2005. This is further evidence that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice may have already passed a tipping point toward a state without ice during the summer by 2050 or before. Such a change will have profound impacts on climate as well as human and wildlife activities in the region. The "Whither <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice?" Earth Exploration Toolbook chapter (http://serc.carleton.edu/eet/seaice/index.html) exposes students to satellite-derived <span class="hlt">sea</span> ice data and allows them to process and interpret the data to "discover" these <span class="hlt">sea</span> ice changes for themselves. A sample case study in Hudson Bay has been developed that relates the physical changes occurring on the <span class="hlt">sea</span> ice to peoples and wildlife that depend on the ice for their livelihood. This approach provides a personal connection for students and allows them to relate to the impacts of the changes. Suggestions are made for further case studies that can be developed using the same data relating to topical events in the <span class="hlt">Arctic</span>. The EET chapter exposes students to climate change, scientific data, statistical concepts, and image processing software providing an avenue for the communication of IPY data and science to teachers and students.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003AGUFM.C41C0990P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003AGUFM.C41C0990P"><span>Assessing, understanding, and conveying the state of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Perovich, D. K.; Richter-Menge, J. A.; Rigor, I.; Parkinson, C. L.; Weatherly, J. W.; Nghiem, S. V.; Proshutinsky, A.; Overland, J. E.</p> <p>2003-12-01</p> <p>Recent studies indicate that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is undergoing significant climate-induced changes, affecting both its extent and thickness. Satellite-derived estimates of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent suggest a reduction of about 3% per decade since 1978. Ice thickness data from submarines suggest a net thinning of the <span class="hlt">sea</span> ice cover since 1958. Changes (including oscillatory changes) in atmospheric circulation and the thermohaline properties of the upper ocean have also been observed. These changes impact not only the <span class="hlt">Arctic</span>, but the global climate system and are likely accelerated by such processes as the ice-albedo feedback. It is important to continue and expand long-term observations of these changes to (a) improve the fundamental understanding of the role of the <span class="hlt">sea</span> ice cover in the global climate system and (b) use the changes in the <span class="hlt">sea</span> ice cover as an early indicator of climate change. This is a formidable task that spans a range of temporal and spatial scales. Fortunately, there are numerous tools that can be brought to bear on this task, including satellite remote sensing, autonomous buoys, ocean moorings, field campaigns and numerical models. We suggest the integrated and coordinated use of these tools during the International Polar Year to monitor the state of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover and investigate its governing processes. For example, satellite remote sensing provides the large-scale snapshots of such basic parameters as ice distribution, melt zone, and cloud fraction at intervals of half a day to a week. Buoys and moorings can contribute high temporal resolution and can measure parameters currently unavailable from space including ice thickness, internal ice temperature, and ocean temperature and salinity. Field campaigns can be used to explore, in detail, the processes that govern the ice cover. Numerical models can be used to assess the character of the changes in the ice cover and predict their impacts on the rest of the climate system. This work</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFM.A22A..08H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFM.A22A..08H"><span>The Global Radiative Impact of the <span class="hlt">Sea</span>-Ice-Albedo Feedback in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hudson, S. R.</p> <p>2009-12-01</p> <p>The <span class="hlt">sea</span>-ice-albedo feedback is known to be an important element of climatic changes over and near regions of ocean with ice cover. It is one of several feedbacks that lead to the polar enhancement of observed and projected global warming. Many studies in the past have used climate models to look at the regional and global impact of the albedo feedback on specific climate variables, most often temperature. These studies generally report a strong regional effect, but also some global effects due to the feedback. Recent changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice have led to increased reference to the importance of the <span class="hlt">sea</span>-ice-albedo feedback, but few studies have examined the global impact of the feedback specifically associated with changes to <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span>; most have included changes to <span class="hlt">sea</span> ice in both hemispheres, and in many cases, also to snow. That reduced <span class="hlt">sea</span> ice cover will have a local warming effect is clear from modeling studies. On the other hand, given the relatively small area of the globe that is covered by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, and the relatively small amounts of sunlight incident on these areas annually, it should be investigated how important reductions in <span class="hlt">sea</span> ice are to the global solar radiation budget. In this study I present calculations of the global radiative impact of the reduction in Earth’s albedo resulting from reduced <span class="hlt">sea</span>-ice cover in the <span class="hlt">Arctic</span>. The intended result is a number, in W m-2, that represents the total increase in absorbed solar radiation due to the reduction in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice cover, averaged over the globe and over the year. This number is relevant to assessing the long-term, global importance of the <span class="hlt">sea</span>-ice-albedo feedback to climate change, and can help put it into context by allowing a comparison of this radiative forcing with other forcings, such as those due to CO2 increases and to aerosols, as given in Figure SPM.2 from the IPCC AR4 WG1. Rather than try to determine this forcing with a model, in which the assumptions and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28814806','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28814806"><span>Enhanced wintertime greenhouse effect reinforcing <span class="hlt">Arctic</span> amplification and initial <span class="hlt">sea</span>-ice melting.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Cao, Yunfeng; Liang, Shunlin; Chen, Xiaona; He, Tao; Wang, Dongdong; Cheng, Xiao</p> <p>2017-08-16</p> <p>The speeds of both <span class="hlt">Arctic</span> surface warming and <span class="hlt">sea</span>-ice shrinking have accelerated over recent decades. However, the causes of this unprecedented phenomenon remain unclear and are subjects of considerable debate. In this study, we report strong observational evidence, for the first time from long-term (1984-2014) spatially complete satellite records, that increased cloudiness and atmospheric water vapor in winter and spring have caused an extraordinary downward longwave radiative flux to the ice surface, which may then amplify the <span class="hlt">Arctic</span> wintertime ice-surface warming. In addition, we also provide observed evidence that it is quite likely the enhancement of the wintertime greenhouse effect caused by water vapor and cloudiness has advanced the time of onset of ice melting in mid-May through inhibiting <span class="hlt">sea</span>-ice refreezing in the winter and accelerating the pre-melting process in the spring, and in turn triggered the positive <span class="hlt">sea</span>-ice albedo feedback process and accelerated the <span class="hlt">sea</span> ice melting in the summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.6838K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.6838K"><span>Late Quaternary <span class="hlt">sea</span>-ice history of northern Fram Strait/<span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kremer, Anne; Stein, Rüdiger; Fahl, Kirsten; Matthießen, Jens; Forwick, Matthias; O'Regan, Matt</p> <p>2016-04-01</p> <p>One of the main characteristics of the <span class="hlt">Arctic</span> Ocean is its seasonal to perennial <span class="hlt">sea</span>-ice cover. Variations of <span class="hlt">sea</span>-ice conditions affect the Earth's albedo, primary production, rate of deep-water etc.. During the last decades, a drastic decrease in <span class="hlt">sea</span> ice has been recorded, and the causes of which, i.e., natural vs. anthropogenic forcings, and their relevance within the global climate system, are subject of intense scientific and societal debate. In this context, records of past <span class="hlt">sea</span>-ice conditions going beyond instrumental records are of major significance. These records may help to better understand the processes controlling natural <span class="hlt">sea</span>-ice variability and to improve models for forecasts of future climatic conditions. During RV Polarstern Cruise PS92 in summer 2015, a 860 cm long sediment core (PS92/039-2) was recovered from the eastern flank of Yermak Plateau north of the Svalbard archipelago (Peeken, 2015). Based on a preliminary age model, this sediment core probably represents the time interval from MIS 6 to MIS 1. This core, located close to the modern summer ice edge, has been selected for reconstruction of past <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice variability based on specific biomarkers. In this context, we have determined the ice-algae-derived <span class="hlt">sea</span>-ice proxy IP25 (Belt et al., 2007), in combination with other biomarkers indicative for open-water conditions (cf., Müller et al., 2009, 2011). Furthermore, organic carbon fluxes were differentiated using specific biomarkers indicative for marine primary production (brassicasterol, dinosterol) and terrigenous input (campesterol, β-sitosterol). In this poster, preliminary results of our organic-geochemical and sedimentological investigations are presented. Distinct fluctuations of these biomarkers indicate several major, partly abrupt changes in <span class="hlt">sea</span>-ice cover in the Yermak Plateau area during the late Quaternary. These changes are probably linked to changes in the inflow of Atlantic Water along the western coastline of Svalbard into</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000190.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000190.html"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Is Losing Its Bulwark Against Warming Summers</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, the vast sheath of frozen seawater floating on the <span class="hlt">Arctic</span> Ocean and its neighboring <span class="hlt">seas</span>, has been hit with a double whammy over the past decades: as its extent shrunk, the oldest and thickest ice has either thinned or melted away, leaving the <span class="hlt">sea</span> ice cap more vulnerable to the warming ocean and atmosphere. “What we’ve seen over the years is that the older ice is disappearing,” said Walt Meier, a <span class="hlt">sea</span> ice researcher at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “This older, thicker ice is like the bulwark of <span class="hlt">sea</span> ice: a warm summer will melt all the young, thin ice away but it can’t completely get rid of the older ice. But this older ice is becoming weaker because there’s less of it and the remaining old ice is more broken up and thinner, so that bulwark is not as good as it used to be.” Read more: go.nasa.gov/2dPJ9zT NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25426720','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25426720"><span>Projected polar bear <span class="hlt">sea</span> ice habitat in the Canadian <span class="hlt">Arctic</span> Archipelago.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hamilton, Stephen G; Castro de la Guardia, Laura; Derocher, Andrew E; Sahanatien, Vicki; Tremblay, Bruno; Huard, David</p> <p>2014-01-01</p> <p><span class="hlt">Sea</span> ice across the <span class="hlt">Arctic</span> is declining and altering physical characteristics of marine ecosystems. Polar bears (Ursus maritimus) have been identified as vulnerable to changes in <span class="hlt">sea</span> ice conditions. We use <span class="hlt">sea</span> ice projections for the Canadian <span class="hlt">Arctic</span> Archipelago from 2006 - 2100 to gain insight into the conservation challenges for polar bears with respect to habitat loss using metrics developed from polar bear energetics modeling. Shifts away from multiyear ice to annual ice cover throughout the region, as well as lengthening ice-free periods, may become critical for polar bears before the end of the 21st century with projected warming. Each polar bear population in the Archipelago may undergo 2-5 months of ice-free conditions, where no such conditions exist presently. We identify spatially and temporally explicit ice-free periods that extend beyond what polar bears require for nutritional and reproductive demands. Under business-as-usual climate projections, polar bears may face starvation and reproductive failure across the entire Archipelago by the year 2100.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C43B0752D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C43B0752D"><span><span class="hlt">Sea</span> Ice Pressure Ridge Height Distributions for the <span class="hlt">Arctic</span> Ocean in Winter, Just Prior to Melt</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Duncan, K.; Farrell, S. L.; Richter-Menge, J.; Hutchings, J.; Dominguez, R.; Connor, L. N.</p> <p>2016-12-01</p> <p>Pressure ridges are one of the most dominant morphological features of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice pack. An impediment to navigation, pressure ridges are also of climatological interest since they impact the mass, energy and momentum transfer budgets for the <span class="hlt">Arctic</span> Ocean. Understanding the regional and seasonal distributions of ridge sail heights, and their variability, is important for quantifying total <span class="hlt">sea</span> ice mass, and for improved treatment of <span class="hlt">sea</span> ice dynamics in high-resolution numerical models. Observations of sail heights from airborne and ship-based platforms have been documented in previous studies, however studies with both high spatial and temporal resolution, across multiple regions of the <span class="hlt">Arctic</span>, are only recently possible with the advent of dedicated airborne surveys of the <span class="hlt">Arctic</span> Ocean. In this study we present results from the high-resolution Digital Mapping System (DMS), flown as part of NASA's Operation IceBridge missions. We use DMS imagery to calculate ridge sail heights, derived from the shadows they cast combined with the solar elevation angle and the known pixel size of each image. Our analyses describe <span class="hlt">sea</span> ice conditions at the end of winter, during the months of March and April, over a period spanning seven years, from 2010 to 2016. The high spatial resolution (0.1m) and temporal extent (seven years) of the DMS data set provides, for the first time, the full sail-height distributions of both first-year and multi-year <span class="hlt">sea</span> ice. We present the inter-annual variability in sail height distributions for both the Central <span class="hlt">Arctic</span> and the Beaufort and Chukchi <span class="hlt">Seas</span>. We validate our results via comparison with spatially coincident high-resolution SAR imagery and airborne laser altimeter elevations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMPP54A..01S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMPP54A..01S"><span>Late Quaternary Variability of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice: Insights From Biomarker Proxy Records and Model Simulations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stein, R. H.; Fahl, K.; Gierz, P.; Niessen, F.; Lohmann, G.</p> <p>2017-12-01</p> <p>Over the last about four decades, coinciding with global warming and atmospheric CO2increase, the extent and thickness of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has decreased dramatically, a decrease much more rapid than predicted by climate models. The driving forces of this change are still not fully understood. In this context, detailed paleoclimatic records going back beyond the timescale of direct observations, i.e., high-resolution Holocene records but also records representing more distant warm periods, may help to to distinguish and quantify more precisely the natural and anthropogenic greenhouse gas forcing of global climate change and related <span class="hlt">sea</span> ice decrease. Here, we concentrate on <span class="hlt">sea</span> ice biomarker records representing the penultimate glacial/last interglacial (MIS 6/MIS 5e) and the Holocene time intervals. Our proxy records are compared with climate model simulations using a coupled atmosphere-ocean general circulation model (AOGCM). Based on our data, polynya-type <span class="hlt">sea</span> ice conditions probably occurred off the major ice sheets along the northern Barents and East Siberian continental margins during late MIS 6. Furthermore, we demonstrate that even during MIS 5e, i.e., a time interval when the high latitudes have been significantly warmer than today, <span class="hlt">sea</span> ice existed in the central <span class="hlt">Arctic</span> Ocean during summer, whereas <span class="hlt">sea</span> ice was significantly reduced along the Barents <span class="hlt">Sea</span> continental margin influenced by Atlantic Water inflow. Assuming a closed Bering Strait (no Pacific Water inflow) during early MIS 5, model simulations point to a significantly reduced <span class="hlt">sea</span> ice cover in the central <span class="hlt">Arctic</span> Ocean, a scenario that is however not supported by the proxy record and thus seems to be less realistic. Our Holocene biomarker proxy records from the Chukchi <span class="hlt">Sea</span> indicate that main factors controlling the millennial Holocene variability in <span class="hlt">sea</span> ice are probably changes in surface water and heat flow from the Pacific into the <span class="hlt">Arctic</span> Ocean as well as the long-term decrease in summer insolation</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.C43E0596D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.C43E0596D"><span>Potential <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice refuge for sustaining a remnant polar bear population (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Durner, G. M.; Amstrup, S. C.; Douglas, D. C.; Gautier, D. L.</p> <p>2010-12-01</p> <p>Polar bears depend on <span class="hlt">sea</span> ice as a platform from which they capture seals. <span class="hlt">Sea</span> ice availability must be spatially and temporally adequate for birth and weaning of seal pups, and to maximize seal hunting opportunities for polar bears. Projected declines in the spatial and temporal extent of summer and autumn <span class="hlt">sea</span> ice could potentially limit the ability of polar bears to build up body stores sufficient to maintain reproductive fitness. General circulation models, however, suggest that summer and autumn <span class="hlt">sea</span> ice may persist in the shelf waters of the Canadian Archipelago and northern Greenland adjacent to the <span class="hlt">Arctic</span> basin. While winter-formed ice is important, a primary mechanism for <span class="hlt">sea</span> ice accumulation in this region is by mechanical thickening of the <span class="hlt">sea</span> ice facilitated by convergent forces from the Beaufort Gyre and the Transpolar Drift Stream. Collectively these areas could provide a polar bear refugium when other regions have lost the <span class="hlt">sea</span> ice necessary to support viable populations. The potential for a polar bear refugium, however, must include other resource considerations. Projected declines of <span class="hlt">sea</span> ice in the Northwest Passage may expose polar bears to hazards related to increase shipping and other commerce. Increasing global demands and limited opportunities elsewhere make the <span class="hlt">Arctic</span> an increasingly attractive area for petroleum exploration. The Canadian Archipelago coincides with the Sverdrup basin, where petroleum accumulations have already been discovered but as yet are undeveloped. The Lincoln <span class="hlt">Sea</span> Basin offshore of northern Greenland has the geological possibility of significant petroleum accumulations, and northeastern Greenland is one of the most prospective areas in the <span class="hlt">Arctic</span> for undiscovered oil. Activities associated with commerce and petroleum development could reduce the potential viability of the region as a polar bear refugium. Hence, if the goal is a sustainable (albeit reduced) polar bear population, important considerations include commerce</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.B33B2087K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.B33B2087K"><span>Changes in Spring Vegetation Activity over Eurasian Boreal Forest Associated with Reduction of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Koh, Y.; Jeong, J. H.; Kim, B. M.; Park, T. W.; Jeong, S. J.</p> <p>2017-12-01</p> <p>Vegetation activities over the high-latitude in the Northern-Hemisphere are known to be very sensitive to climate change, which can, in turn, affect the entire climate system. This is one of the important feedback effects on global climate change. In this study, we have detected a declining trend of vegetation index in the boreal forest (Taiga) region of Eurasia in early spring from the late 1990s, and confirmed that the cause is closely related to the decrease in winter temperature linked to the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice change. The reduction of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice induces weakening of the Polar vortex around the <span class="hlt">Arctic</span>, which has a chilling effect throughout Eurasia until the early spring (March) by strengthening the Siberian high in the Eurasian continent. The decrease of vegetation growth is caused by the extreme cold phenomenon directly affecting the growth of the boreal trees. To verify this, we used vegetation-climate coupled models to investigate climate-vegetation sensitivity to <span class="hlt">sea</span> ice reduction. As a result, when the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decreased in the model simulation, the vegetation index of the boreal forest, especially needleleaf evergreen trees, decreased as similarly detected by observations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.ars.usda.gov/research/publications/publication/?seqNo115=228404','TEKTRAN'); return false;" href="http://www.ars.usda.gov/research/publications/publication/?seqNo115=228404"><span>Analysis of WindSat Data over <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="https://www.ars.usda.gov/research/publications/find-a-publication/">USDA-ARS?s Scientific Manuscript database</a></p> <p></p> <p></p> <p>The radiation of the 3rd and 4th Stokes components emitted by <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and observed by the spaceborne fully polarimetric radiometer WindSat is investigated. Two types of analysis are carried out, spatial (maps of different quadrants of azimuth look angles) and temporal (time series of daily av...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA617971','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA617971"><span>Optimizing Observations of <span class="hlt">Sea</span> Ice Thickness and Snow Depth in the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2014-09-30</p> <p>changes in the thickness of <span class="hlt">sea</span> ice, glaciers , and ice sheets. These observations are critical for predicting the response of Earth’s polar ice to...<span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Conditions in Spring 2009 - 2013 Prior to Melt , Geophys. Res. Lett., 40, 5888-5893, doi: 10.1002/2013GL058011. [published, refereed</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AdAtS..35..106Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AdAtS..35..106Z"><span>Record low <span class="hlt">sea</span>-ice concentration in the central <span class="hlt">Arctic</span> during summer 2010</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhao, Jinping; Barber, David; Zhang, Shugang; Yang, Qinghua; Wang, Xiaoyu; Xie, Hongjie</p> <p>2018-01-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extent has shown a declining trend over the past 30 years. Ice coverage reached historic minima in 2007 and again in 2012. This trend has recently been assessed to be unique over at least the last 1450 years. In the summer of 2010, a very low <span class="hlt">sea</span>-ice concentration (SIC) appeared at high <span class="hlt">Arctic</span> latitudes—even lower than that of surrounding pack ice at lower latitudes. This striking low ice concentration—referred to here as a record low ice concentration in the central <span class="hlt">Arctic</span> (CARLIC)—is unique in our analysis period of 2003-15, and has not been previously reported in the literature. The CARLIC was not the result of ice melt, because <span class="hlt">sea</span> ice was still quite thick based on in-situ ice thickness measurements. Instead, divergent ice drift appears to have been responsible for the CARLIC. A high correlation between SIC and wind stress curl suggests that the <span class="hlt">sea</span> ice drift during the summer of 2010 responded strongly to the regional wind forcing. The drift trajectories of ice buoys exhibited a transpolar drift in the Atlantic sector and an eastward drift in the Pacific sector, which appeared to benefit the CARLIC in 2010. Under these conditions, more solar energy can penetrate into the open water, increasing melt through increased heat flux to the ocean. We speculate that this divergence of <span class="hlt">sea</span> ice could occur more often in the coming decades, and impact on hemispheric SIC and feed back to the climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/21456825','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/21456825"><span>Regular network model for the <span class="hlt">sea</span> ice-albedo feedback in the <span class="hlt">Arctic</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Müller-Stoffels, Marc; Wackerbauer, Renate</p> <p>2011-03-01</p> <p>The <span class="hlt">Arctic</span> Ocean and <span class="hlt">sea</span> ice form a feedback system that plays an important role in the global climate. The complexity of highly parameterized global circulation (climate) models makes it very difficult to assess feedback processes in climate without the concurrent use of simple models where the physics is understood. We introduce a two-dimensional energy-based regular network model to investigate feedback processes in an <span class="hlt">Arctic</span> ice-ocean layer. The model includes the nonlinear aspect of the ice-water phase transition, a nonlinear diffusive energy transport within a heterogeneous ice-ocean lattice, and spatiotemporal atmospheric and oceanic forcing at the surfaces. First results for a horizontally homogeneous ice-ocean layer show bistability and related hysteresis between perennial ice and perennial open water for varying atmospheric heat influx. Seasonal ice cover exists as a transient phenomenon. We also find that ocean heat fluxes are more efficient than atmospheric heat fluxes to melt <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19965425','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19965425"><span>Aragonite undersaturation in the <span class="hlt">Arctic</span> Ocean: effects of ocean acidification and <span class="hlt">sea</span> ice melt.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Yamamoto-Kawai, Michiyo; McLaughlin, Fiona A; Carmack, Eddy C; Nishino, Shigeto; Shimada, Koji</p> <p>2009-11-20</p> <p>The increase in anthropogenic carbon dioxide emissions and attendant increase in ocean acidification and <span class="hlt">sea</span> ice melt act together to decrease the saturation state of calcium carbonate in the Canada Basin of the <span class="hlt">Arctic</span> Ocean. In 2008, surface waters were undersaturated with respect to aragonite, a relatively soluble form of calcium carbonate found in plankton and invertebrates. Undersaturation was found to be a direct consequence of the recent extensive melting of <span class="hlt">sea</span> ice in the Canada Basin. In addition, the retreat of the ice edge well past the shelf-break has produced conditions favorable to enhanced upwelling of subsurface, aragonite-undersaturated water onto the <span class="hlt">Arctic</span> continental shelf. Undersaturation will affect both planktonic and benthic calcifying biota and therefore the composition of the <span class="hlt">Arctic</span> ecosystem.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_20 --> <div id="page_21" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="401"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27933047','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27933047"><span>Diazotroph Diversity in the <span class="hlt">Sea</span> Ice, Melt Ponds, and Surface Waters of the Eurasian Basin of the Central <span class="hlt">Arctic</span> Ocean.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Fernández-Méndez, Mar; Turk-Kubo, Kendra A; Buttigieg, Pier L; Rapp, Josephine Z; Krumpen, Thomas; Zehr, Jonathan P; Boetius, Antje</p> <p>2016-01-01</p> <p>The Eurasian basin of the Central <span class="hlt">Arctic</span> Ocean is nitrogen limited, but little is known about the presence and role of nitrogen-fixing bacteria. Recent studies have indicated the occurrence of diazotrophs in <span class="hlt">Arctic</span> coastal waters potentially of riverine origin. Here, we investigated the presence of diazotrophs in ice and surface waters of the Central <span class="hlt">Arctic</span> Ocean in the summer of 2012. We identified diverse communities of putative diazotrophs through targeted analysis of the nifH gene, which encodes the iron protein of the nitrogenase enzyme. We amplified 529 nifH sequences from 26 samples of <span class="hlt">Arctic</span> melt ponds, <span class="hlt">sea</span> ice and surface waters. These sequences resolved into 43 clusters at 92% amino acid sequence identity, most of which were non-cyanobacterial phylotypes from <span class="hlt">sea</span> ice and water samples. One cyanobacterial phylotype related to Nodularia sp. was retrieved from <span class="hlt">sea</span> ice, suggesting that this important functional group is rare in the Central <span class="hlt">Arctic</span> Ocean. The diazotrophic community in <span class="hlt">sea</span>-ice environments appear distinct from other cold-adapted diazotrophic communities, such as those present in the coastal Canadian <span class="hlt">Arctic</span>, the <span class="hlt">Arctic</span> tundra and glacial Antarctic lakes. Molecular fingerprinting of nifH and the intergenic spacer region of the rRNA operon revealed differences between the communities from river-influenced Laptev <span class="hlt">Sea</span> waters and those from ice-related environments pointing toward a marine origin for <span class="hlt">sea</span>-ice diazotrophs. Our results provide the first record of diazotrophs in the Central <span class="hlt">Arctic</span> and suggest that microbial nitrogen fixation may occur north of 77°N. To assess the significance of nitrogen fixation for the nitrogen budget of the <span class="hlt">Arctic</span> Ocean and to identify the active nitrogen fixers, further biogeochemical and molecular biological studies are needed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5120112','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5120112"><span>Diazotroph Diversity in the <span class="hlt">Sea</span> Ice, Melt Ponds, and Surface Waters of the Eurasian Basin of the Central <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Fernández-Méndez, Mar; Turk-Kubo, Kendra A.; Buttigieg, Pier L.; Rapp, Josephine Z.; Krumpen, Thomas; Zehr, Jonathan P.; Boetius, Antje</p> <p>2016-01-01</p> <p>The Eurasian basin of the Central <span class="hlt">Arctic</span> Ocean is nitrogen limited, but little is known about the presence and role of nitrogen-fixing bacteria. Recent studies have indicated the occurrence of diazotrophs in <span class="hlt">Arctic</span> coastal waters potentially of riverine origin. Here, we investigated the presence of diazotrophs in ice and surface waters of the Central <span class="hlt">Arctic</span> Ocean in the summer of 2012. We identified diverse communities of putative diazotrophs through targeted analysis of the nifH gene, which encodes the iron protein of the nitrogenase enzyme. We amplified 529 nifH sequences from 26 samples of <span class="hlt">Arctic</span> melt ponds, <span class="hlt">sea</span> ice and surface waters. These sequences resolved into 43 clusters at 92% amino acid sequence identity, most of which were non-cyanobacterial phylotypes from <span class="hlt">sea</span> ice and water samples. One cyanobacterial phylotype related to Nodularia sp. was retrieved from <span class="hlt">sea</span> ice, suggesting that this important functional group is rare in the Central <span class="hlt">Arctic</span> Ocean. The diazotrophic community in <span class="hlt">sea</span>-ice environments appear distinct from other cold-adapted diazotrophic communities, such as those present in the coastal Canadian <span class="hlt">Arctic</span>, the <span class="hlt">Arctic</span> tundra and glacial Antarctic lakes. Molecular fingerprinting of nifH and the intergenic spacer region of the rRNA operon revealed differences between the communities from river-influenced Laptev <span class="hlt">Sea</span> waters and those from ice-related environments pointing toward a marine origin for <span class="hlt">sea</span>-ice diazotrophs. Our results provide the first record of diazotrophs in the Central <span class="hlt">Arctic</span> and suggest that microbial nitrogen fixation may occur north of 77°N. To assess the significance of nitrogen fixation for the nitrogen budget of the <span class="hlt">Arctic</span> Ocean and to identify the active nitrogen fixers, further biogeochemical and molecular biological studies are needed. PMID:27933047</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1713065F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1713065F"><span>Determination of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability modes on interannual timescales via nonhierarchical clustering</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fučkar, Neven-Stjepan; Guemas, Virginie; Massonnet, François; Doblas-Reyes, Francisco</p> <p>2015-04-01</p> <p>Over the modern observational era, the northern hemisphere <span class="hlt">sea</span> ice concentration, age and thickness have experienced a sharp long-term decline superimposed with strong internal variability. Hence, there is a crucial need to identify robust patterns of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability on interannual timescales and disentangle them from the long-term trend in noisy datasets. The principal component analysis (PCA) is a versatile and broadly used method for the study of climate variability. However, the PCA has several limiting aspects because it assumes that all modes of variability have symmetry between positive and negative phases, and suppresses nonlinearities by using a linear covariance matrix. Clustering methods offer an alternative set of dimension reduction tools that are more robust and capable of taking into account possible nonlinear characteristics of a climate field. Cluster analysis aggregates data into groups or clusters based on their distance, to simultaneously minimize the distance between data points in a given cluster and maximize the distance between the centers of the clusters. We extract modes of <span class="hlt">Arctic</span> interannual <span class="hlt">sea</span>-ice variability with nonhierarchical K-means cluster analysis and investigate the mechanisms leading to these modes. Our focus is on the <span class="hlt">sea</span> ice thickness (SIT) as the base variable for clustering because SIT holds most of the climate memory for variability and predictability on interannual timescales. We primarily use global reconstructions of <span class="hlt">sea</span> ice fields with a state-of-the-art ocean-<span class="hlt">sea</span>-ice model, but we also verify the robustness of determined clusters in other <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice datasets. Applied cluster analysis over the 1958-2013 period shows that the optimal number of detrended SIT clusters is K=3. Determined SIT cluster patterns and their time series of occurrence are rather similar between different seasons and months. Two opposite thermodynamic modes are characterized with prevailing negative or positive SIT anomalies over the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C21E..05P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C21E..05P"><span>Variability in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice topography and atmospheric form drag: Combining IceBridge laser altimetry with ASCAT radar backscatter.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Petty, A.; Tsamados, M.; Kurtz, N. T.</p> <p>2016-12-01</p> <p>Here we present atmospheric form drag estimates over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice using high resolution, three-dimensional surface elevation data from NASA's Operation IceBridge Airborne Topographic Mapper (ATM), and surface roughness estimates from the Advanced Scatterometer (ASCAT). Surface features of the ice pack (e.g. pressure ridges) are detected using IceBridge ATM elevation data and a novel surface feature-picking algorithm. We use simple form drag parameterizations to convert the observed height and spacing of surface features into an effective atmospheric form drag coefficient. The results demonstrate strong regional variability in the atmospheric form drag coefficient, linked to variability in both the height and spacing of surface features. This includes form drag estimates around 2-3 times higher over the multiyear ice north of Greenland, compared to the first-year ice of the Beaufort/Chukchi <span class="hlt">seas</span>. We compare results from both scanning and linear profiling to ensure our results are consistent with previous studies investigating form drag over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice. A strong correlation between ASCAT surface roughness estimates (using radar backscatter) and the IceBridge form drag results enable us to extrapolate the IceBridge data collected over the western-<span class="hlt">Arctic</span> across the entire <span class="hlt">Arctic</span> Ocean. While our focus is on spring, due to the timing of the primary IceBridge campaigns since 2009, we also take advantage of the autumn data collected by IceBridge in 2015 to investigate seasonality in <span class="hlt">Arctic</span> ice topography and the resulting form drag coefficient. Our results offer the first large-scale assessment of atmospheric form drag over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice due to variable ice topography (i.e. within the <span class="hlt">Arctic</span> pack ice). The analysis is being extended to the Antarctic IceBridge <span class="hlt">sea</span> ice data, and the results are being used to calibrate a sophisticated form drag parameterization scheme included in the <span class="hlt">sea</span> ice model CICE, to improve the representation of form drag over <span class="hlt">Arctic</span> and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140017824','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140017824"><span>Changes in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span> Ice as a Microcosm of Global Climate Change</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.</p> <p>2014-01-01</p> <p>Polar <span class="hlt">sea</span> ice is a key element of the climate system and has now been monitored through satellite observations for over three and a half decades. The satellite observations reveal considerable information about polar ice and its changes since the late 1970s, including a prominent downward trend in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice coverage and a much lesser upward trend in Antarctic <span class="hlt">sea</span> ice coverage, illustrative of the important fact that climate change entails spatial contrasts. The decreasing ice coverage in the <span class="hlt">Arctic</span> corresponds well with contemporaneous <span class="hlt">Arctic</span> warming and exhibits particularly large decreases in the summers of 2007 and 2012, influenced by both preconditioning and atmospheric conditions. The increasing ice coverage in the Antarctic is not as readily explained, but spatial differences in the Antarctic trends suggest a possible connection with atmospheric circulation changes that have perhaps been influenced by the Antarctic ozone hole. The changes in the polar ice covers and the issues surrounding those changes have many commonalities with broader climate changes and their surrounding issues, allowing the <span class="hlt">sea</span> ice changes to be viewed in some important ways as a microcosm of global climate change.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.7543V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.7543V"><span>Numerical simulation study of polar lows in Russian <span class="hlt">Arctic</span>: dynamical characteristics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Verezemskaya, Polina; Baranyuk, Anastasia; Stepanenko, Victor</p> <p>2015-04-01</p> <p>Polar Lows (hereafter PL) are intensive mesoscale cyclones, appearing above the <span class="hlt">sea</span> surface, usually behind the <span class="hlt">arctic</span> front and characterized by severe weather conditions [1]. All in consequence of the global warming PLs started to emerge in the <span class="hlt">arctic</span> water area as well - in summer and autumn. The research goal is to examine PLs by considering multisensory data and the resulting numerical mesoscale model. The main purpose was to realize which conditions induce PL development in such thermodynamically unusual season and region as <span class="hlt">Kara</span> <span class="hlt">sea</span>. In order to conduct the analysis we used visible and infrared images from MODIS (Aqua). Atmospheric water vapor V, cloud liquid water Q content and surface wind fields W were resampled by examining AMSR-E microwave radiometer data (Aqua)[2], the last one was additionally extracted from QuickSCAT scatterometer. We have selected some PL cases in <span class="hlt">Kara</span> <span class="hlt">sea</span>, appeared in autumn of 2007-2008. Life span of the PL was between 24 to 36 hours. Vortexes' characteristics were: W from 15m/s, Q and V values: 0.08-0.11 kg/m2 and 8-15 kg/m2 relatively. Numerical experiments were carried out with Weather Research and Forecasting model (WRF), which was installed on supercomputer "Lomonosov" of Research Computing Center of Moscow State University [3]. As initial conditions was used reanalysis data ERA-Interim from European Centre for Medium-Range Weather Forecasts. Numerical experiments were made with 5 km spatial resolution, with Goddard center microphysical parameterization and explicit convection simulation. Modeling fields were compared with satellite observations and shown good accordance. Than dynamic characteristics were analyzed: evolution of potential and absolute vorticity [4], surface heat and momentum fluxes, and CAPE and WISHE mechanisms realization. 1. Polar lows, J. Turner, E.A. Rasmussen, 612, Cambridge University press, Cambridge, 2003. 2. Zabolotskikh, E. V., Mitnik, L. M., & Chapron, B. (2013). New approach for severe marine</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122.7235C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122.7235C"><span>Meteorological conditions in a thinner <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice regime from winter to summer during the Norwegian Young <span class="hlt">Sea</span> Ice expedition (N-ICE2015)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cohen, Lana; Hudson, Stephen R.; Walden, Von P.; Graham, Robert M.; Granskog, Mats A.</p> <p>2017-07-01</p> <p>Atmospheric measurements were made over <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice north of Svalbard from winter to early summer (January-June) 2015 during the Norwegian Young <span class="hlt">Sea</span> Ice (N-ICE2015) expedition. These measurements, which are available publicly, represent a comprehensive meteorological data set covering the seasonal transition in the <span class="hlt">Arctic</span> Basin over the new, thinner <span class="hlt">sea</span> ice regime. Winter was characterized by a succession of storms that produced short-lived (less than 48 h) temperature increases of 20 to 30 K at the surface. These storms were driven by the hemispheric scale circulation pattern with a large meridional component of the polar jet stream steering North Atlantic storms into the high <span class="hlt">Arctic</span>. Nonstorm periods during winter were characterized by strong surface temperature inversions due to strong radiative cooling ("radiatively clear state"). The strength and depth of these inversions were similar to those during the Surface Heat Budget of the <span class="hlt">Arctic</span> Ocean (SHEBA) campaign. In contrast, atmospheric profiles during the "opaquely cloudy state" were different to those from SHEBA due to differences in the synoptic conditions and location within the ice pack. Storm events observed during spring/summer were the result of synoptic systems located in the Barents <span class="hlt">Sea</span> and the <span class="hlt">Arctic</span> Basin rather than passing directly over N-ICE2015. These synoptic systems were driven by a large-scale circulation pattern typical of recent years, with an <span class="hlt">Arctic</span> Dipole pattern developing during June. Surface temperatures became near-constant 0°C on 1 June marking the beginning of summer. Atmospheric profiles during the spring and early summer show persistent lifted temperature and moisture inversions that are indicative of clouds and cloud processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.9485G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.9485G"><span>Retrieving <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Fog Geometrical Thickness and Inversion Characteristics from Surface and Radiosonde Observations.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gilson, Gaëlle; Jiskoot, Hester</p> <p>2017-04-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> fog hasn't been extensively studied despite its importance for environmental impact such as on traffic safety and on glacier ablation in coastal <span class="hlt">Arctic</span> regions. Understanding fog processes can improve nowcasting of environmental impact in such remote regions where few observational data exist. To understand fog's physical, macrophysical and radiative properties, it is important to determine accurate <span class="hlt">Arctic</span> fog climatology. Our previous study suggested that fog peaks in July over East Greenland and associates with <span class="hlt">sea</span> ice break-up and a <span class="hlt">sea</span> breeze with wind speeds between 1-4 m/s. The goal of this study is to understand <span class="hlt">Arctic</span> coastal fog macrophysical properties and quantify its vertical extent. Radiosonde profiles were extracted from the Integrated Global Radiosonde Archive (IGRA) between 1980-2012, coincident with manual and automated fog observations at three synoptic weather stations along the coast of East Greenland. A new method using air mass saturation ratio and thermodynamic stability was developed to derive fog top height from IGRA radiosonde profiles. Soundings were classified into nine categories, based on surface and low-level saturation ratio, inversion type, and the fog top height relative to the inversion base. Results show that <span class="hlt">Arctic</span> coastal fog mainly occurs under thermodynamically stable conditions characterized by deep and strong low-level inversions. Fog thickness is commonly about 100-400 m, often reaching the top of the boundary layer. Fog top height is greater at northern stations, where daily fog duration is also longer and often lasts throughout the day. Fog thickness is likely correlated to <span class="hlt">sea</span> ice concentration density during <span class="hlt">sea</span> ice break-up. Overall, it is hypothesized that our sounding classes represent development or dissipation stages of advection fog, or stratus lowering and fog lifting processes. With a new automated method, it is planned to retrieve fog height from IGRA data over <span class="hlt">Arctic</span> terrain around the entire North</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170007896','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170007896"><span>Radiative Impacts of Further <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Melt: Using past Observations to Inform Future Climate Impacts</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pistone, K.; Eisenman, I.; Ramanathan, V.</p> <p>2017-01-01</p> <p>The <span class="hlt">Arctic</span> region has seen dramatic changes over the past several decades, from polar amplification of global temperature rise to ecosystem changes to the decline of the <span class="hlt">sea</span> ice. While there has been much speculation as to when the world will see an ice-free <span class="hlt">Arctic</span>, the radiative impacts of an eventual disappearance of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice are likely to be significant regardless of the timing. Using CERES radiation and microwave satellite <span class="hlt">sea</span> ice data, Pistone et al (2014) estimated the radiative forcing due to albedo changes associated with the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice retreat over the 30 years of the satellite data record. In this study, we found that the <span class="hlt">Arctic</span> Ocean saw a decrease in all-sky albedo of 4% (from 52% to 48%), for an estimated increase in solar heating of 6.4 W/m(exp 2) between 1979 and 2011, or 0.21 W/m(exp 2) when averaged over the globe. This value is substantial--approximately 25% as large as the forcing due to the change in CO2 during the same period. Here we update and expand upon this previous work and use the CERES broadband shortwave observations to explore the radiative impacts of a transition to completely ice-free <span class="hlt">Arctic</span> Ocean. We estimate the annually-averaged <span class="hlt">Arctic</span> Ocean planetary albedo under ice-free and cloud-free conditions to be 14% over the region, or approximately 25% lower in absolute terms than the <span class="hlt">Arctic</span> Ocean cloud-free albedo in 1979. However, the question of all-sky conditions (i.e. including the effects of clouds) introduces a new level of complexity. We explore several cloud scenarios and the resultant impact on albedo. In each of these cases, the estimated forcing is not uniformly distributed throughout the year. We describe the relative contributions of ice loss by month as well as the spatial distributions of the resulting changes in absorbed solar energy. The seasonal timing and location—in addition to magnitude—of the altered solar absorption may have significant implications for atmospheric and ocean dynamics in the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26119338','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26119338"><span>Pliocene cooling enhanced by flow of low-salinity Bering <span class="hlt">Sea</span> water to the <span class="hlt">Arctic</span> Ocean.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Horikawa, Keiji; Martin, Ellen E; Basak, Chandranath; Onodera, Jonaotaro; Seki, Osamu; Sakamoto, Tatsuhiko; Ikehara, Minoru; Sakai, Saburo; Kawamura, Kimitaka</p> <p>2015-06-29</p> <p>Warming of high northern latitudes in the Pliocene (5.33-2.58 Myr ago) has been linked to the closure of the Central American Seaway and intensification of North Atlantic Deep Water. Subsequent cooling in the late Pliocene may be related to the effects of freshwater input from the <span class="hlt">Arctic</span> Ocean via the Bering Strait, disrupting North Atlantic Deep Water formation and enhancing <span class="hlt">sea</span> ice formation. However, the timing of <span class="hlt">Arctic</span> freshening has not been defined. Here we present neodymium and lead isotope records of detrital sediment from the Bering <span class="hlt">Sea</span> for the past 4.3 million years. Isotopic data suggest the presence of Alaskan glaciers as far back as 4.2 Myr ago, while diatom and C37:4 alkenone records show a long-term trend towards colder and fresher water in the Bering <span class="hlt">Sea</span> beginning with the M2 glaciation (3.3 Myr ago). We argue that the introduction of low-salinity Bering <span class="hlt">Sea</span> water to the <span class="hlt">Arctic</span> Ocean by 3.3 Myr ago preconditioned the climate system for global cooling.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4491831','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4491831"><span>Pliocene cooling enhanced by flow of low-salinity Bering <span class="hlt">Sea</span> water to the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Horikawa, Keiji; Martin, Ellen E.; Basak, Chandranath; Onodera, Jonaotaro; Seki, Osamu; Sakamoto, Tatsuhiko; Ikehara, Minoru; Sakai, Saburo; Kawamura, Kimitaka</p> <p>2015-01-01</p> <p>Warming of high northern latitudes in the Pliocene (5.33–2.58 Myr ago) has been linked to the closure of the Central American Seaway and intensification of North Atlantic Deep Water. Subsequent cooling in the late Pliocene may be related to the effects of freshwater input from the <span class="hlt">Arctic</span> Ocean via the Bering Strait, disrupting North Atlantic Deep Water formation and enhancing <span class="hlt">sea</span> ice formation. However, the timing of <span class="hlt">Arctic</span> freshening has not been defined. Here we present neodymium and lead isotope records of detrital sediment from the Bering <span class="hlt">Sea</span> for the past 4.3 million years. Isotopic data suggest the presence of Alaskan glaciers as far back as 4.2 Myr ago, while diatom and C37:4 alkenone records show a long-term trend towards colder and fresher water in the Bering <span class="hlt">Sea</span> beginning with the M2 glaciation (3.3 Myr ago). We argue that the introduction of low-salinity Bering <span class="hlt">Sea</span> water to the <span class="hlt">Arctic</span> Ocean by 3.3 Myr ago preconditioned the climate system for global cooling. PMID:26119338</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1914860C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1914860C"><span>Seasonal-to-decadal predictability in the Nordic <span class="hlt">Seas</span> and <span class="hlt">Arctic</span> with the Norwegian Climate Prediction Model</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Counillon, Francois; Kimmritz, Madlen; Keenlyside, Noel; Wang, Yiguo; Bethke, Ingo</p> <p>2017-04-01</p> <p>The Norwegian Climate Prediction Model combines the Norwegian Earth System Model and the Ensemble Kalman Filter data assimilation method. The prediction skills of different versions of the system (with 30 members) are tested in the Nordic <span class="hlt">Seas</span> and the <span class="hlt">Arctic</span> region. Comparing the hindcasts branched from a SST-only assimilation run with a free ensemble run of 30 members, we are able to dissociate the predictability rooted in the external forcing from the predictability harvest from SST derived initial conditions. The latter adds predictability in the North Atlantic subpolar gyre and the Nordic <span class="hlt">Seas</span> regions and overall there is very little degradation or forecast drift. Combined assimilation of SST and T-S profiles further improves the prediction skill in the Nordic <span class="hlt">Seas</span> and into the <span class="hlt">Arctic</span>. These lead to multi-year predictability in the high-latitudes. Ongoing developments of strongly coupled assimilation (ocean and <span class="hlt">sea</span> ice) of ice concentration in idealized twin experiment will be shown, as way to further enhance prediction skill in the <span class="hlt">Arctic</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.6676H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.6676H"><span>Scaling properties of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice deformation in high-resolution viscous-plastic <span class="hlt">sea</span> ice models and satellite observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hutter, Nils; Losch, Martin; Menemenlis, Dimitris</p> <p>2017-04-01</p> <p><span class="hlt">Sea</span> ice models with the traditional viscous-plastic (VP) rheology and very high grid resolution can resolve leads and deformation rates that are localised along Linear Kinematic Features (LKF). In a 1-km pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice-ocean simulation, the small scale <span class="hlt">sea</span>-ice deformations in the Central <span class="hlt">Arctic</span> are evaluated with a scaling analysis in relation to satellite observations of the Envisat Geophysical Processor System (EGPS). A new coupled scaling analysis for data on Eulerian grids determines the spatial and the temporal scaling as well as the coupling between temporal and spatial scales. The spatial scaling of the modelled <span class="hlt">sea</span> ice deformation implies multi-fractality. The spatial scaling is also coupled to temporal scales and varies realistically by region and season. The agreement of the spatial scaling and its coupling to temporal scales with satellite observations and models with the modern elasto-brittle rheology challenges previous results with VP models at coarse resolution where no such scaling was found. The temporal scaling analysis, however, shows that the VP model does not fully resolve the intermittency of <span class="hlt">sea</span> ice deformation that is observed in satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.4452G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.4452G"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice concentration observed with SMOS during summer</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gabarro, Carolina; Martinez, Justino; Turiel, Antonio</p> <p>2017-04-01</p> <p>The <span class="hlt">Arctic</span> Ocean is under profound transformation. Observations and model predictions show dramatic decline in <span class="hlt">sea</span> ice extent and volume [1]. A retreating <span class="hlt">Arctic</span> ice cover has a marked impact on regional and global climate, and vice versa, through a large number of feedback mechanisms and interactions with the climate system [2]. The launch of the Soil Moisture and Ocean Salinity (SMOS) mission, in 2009, marked the dawn of a new type of space-based microwave observations. Although the mission was originally conceived for hydrological and oceanographic studies [3,4], SMOS is also making inroads in the cryospheric sciences by measuring the thin ice thickness [5,6]. SMOS carries an L-band (1.4 GHz), passive interferometric radiometer (the so-called MIRAS) that measures the electromagnetic radiation emitted by the Earth's surface, at about 50 km spatial resolution, continuous multi-angle viewing, large wide swath (1200-km), and with a 3-day revisit time at the equator, but more frequently at the poles. A novel radiometric method to determine <span class="hlt">sea</span> ice concentration (SIC) from SMOS is presented. The method uses the Bayesian-based Maximum Likelihood Estimation (MLE) approach to retrieve SIC. The advantage of this approach with respect to the classical linear inversion is that the former takes into account the uncertainty of the tie-point measured data in addition to the mean value, while the latter only uses a mean value of the tie-point data. When thin ice is present, the SMOS algorithm underestimates the SIC due to the low opacity of the ice at this frequency. However, using a synergistic approach with data from other satellite sensors, it is possible to obtain accurate thin ice thickness estimations with the Bayesian-based method. Despite its lower spatial resolution relative to SSMI or AMSR-E, SMOS-derived SIC products are little affected by the atmosphere and the snow (almost transparent at L-band). Moreover L-band measurements are more robust in front of the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMGC51F1060B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMGC51F1060B"><span>Freshwater and polynya components of the shelf-derived <span class="hlt">Arctic</span> Ocean halocline in summer 2007 identified by stable oxygen isotopes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bauch, D.; Rutgers van der Loeff, M.; Andersen, N.; Torres-Valdes, S.; Bakker, K.; Abrahamsen, E.</p> <p>2011-12-01</p> <p> by the position of the Lomonosov Ridge in 2007. The ratio of <span class="hlt">sea</span>-ice derived brine influence and river water is roughly constant within each layer of the <span class="hlt">Arctic</span> Ocean halocline. The correlation between brine influence and river water reveals two clusters that can be assigned to the two main mechanisms of <span class="hlt">sea</span>-ice formation within the <span class="hlt">Arctic</span> Ocean. Over the open ocean or in polynyas at the continental slope <span class="hlt">sea</span>-ice formation results in a linear correlation between brine influence and river water at salinities of ~ 32 to 34. In coastal polynyas in the shallow regions of the Laptev <span class="hlt">Sea</span> and southern <span class="hlt">Kara</span> <span class="hlt">Sea</span>, <span class="hlt">sea</span>-ice formation transports river water into the shelf's bottom layer due to the close proximity to the river mouths. This process results in a second linear correlation between brine influence and river water at salinities of ~ 30 to 32.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28378830','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28378830"><span>Possible connections of the opposite trends in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span>-ice cover.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Yu, Lejiang; Zhong, Shiyuan; Winkler, Julie A; Zhou, Mingyu; Lenschow, Donald H; Li, Bingrui; Wang, Xianqiao; Yang, Qinghua</p> <p>2017-04-05</p> <p><span class="hlt">Sea</span> ice is an important component of the global climate system and a key indicator of climate change. A decreasing trend in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice concentration is evident in recent years, whereas Antarctic <span class="hlt">sea</span>-ice concentration exhibits a generally increasing trend. Various studies have investigated the underlying causes of the observed trends for each region, but possible linkages between the regional trends have not been studied. Here, we hypothesize that the opposite trends in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span>-ice concentration may be linked, at least partially, through interdecadal variability of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO). Although evaluation of this hypothesis is constrained by the limitations of the <span class="hlt">sea</span>-ice cover record, preliminary statistical analyses of one short-term and two long-term time series of observed and reanalysis <span class="hlt">sea</span>-ice concentrations data suggest the possibility of the hypothesized linkages. For all three data sets, the leading mode of variability of global <span class="hlt">sea</span>-ice concentration is positively correlated with the AMO and negatively correlated with the PDO. Two wave trains related to the PDO and the AMO appear to produce anomalous surface-air temperature and low-level wind fields in the two polar regions that contribute to the opposite changes in <span class="hlt">sea</span>-ice concentration.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5381096','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5381096"><span>Possible connections of the opposite trends in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span>-ice cover</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Yu, Lejiang; Zhong, Shiyuan; Winkler, Julie A.; Zhou, Mingyu; Lenschow, Donald H.; Li, Bingrui; Wang, Xianqiao; Yang, Qinghua</p> <p>2017-01-01</p> <p><span class="hlt">Sea</span> ice is an important component of the global climate system and a key indicator of climate change. A decreasing trend in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice concentration is evident in recent years, whereas Antarctic <span class="hlt">sea</span>-ice concentration exhibits a generally increasing trend. Various studies have investigated the underlying causes of the observed trends for each region, but possible linkages between the regional trends have not been studied. Here, we hypothesize that the opposite trends in <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span>-ice concentration may be linked, at least partially, through interdecadal variability of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO). Although evaluation of this hypothesis is constrained by the limitations of the <span class="hlt">sea</span>-ice cover record, preliminary statistical analyses of one short-term and two long-term time series of observed and reanalysis <span class="hlt">sea</span>-ice concentrations data suggest the possibility of the hypothesized linkages. For all three data sets, the leading mode of variability of global <span class="hlt">sea</span>-ice concentration is positively correlated with the AMO and negatively correlated with the PDO. Two wave trains related to the PDO and the AMO appear to produce anomalous surface-air temperature and low-level wind fields in the two polar regions that contribute to the opposite changes in <span class="hlt">sea</span>-ice concentration. PMID:28378830</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170007842&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170007842&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea"><span>Comparison of Passive Microwave-Derived Early Melt Onset Records on <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bliss, Angela C.; Miller, Jeffrey A.; Meier, Walter N.</p> <p>2017-01-01</p> <p>Two long records of melt onset (MO) on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice from passive microwave brightness temperatures (Tbs) obtained by a series of satellite-borne instruments are compared. The Passive Microwave (PMW) method and Advanced Horizontal Range Algorithm (AHRA) detect the increase in emissivity that occurs when liquid water develops around snow grains at the onset of early melting on <span class="hlt">sea</span> ice. The timing of MO on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice influences the amount of solar radiation absorbed by the ice-ocean system throughout the melt season by reducing surface albedos in the early spring. This work presents a thorough comparison of these two methods for the time series of MO dates from 1979through 2012. The methods are first compared using the published data as a baseline comparison of the publically available data products. A second comparison is performed on adjusted MO dates we produced to remove known differences in inter-sensor calibration of Tbs and masking techniques used to develop the original MO date products. These adjustments result in a more consistent set of input Tbs for the algorithms. Tests of significance indicate that the trends in the time series of annual mean MO dates for the PMW and AHRA are statistically different for the majority of the <span class="hlt">Arctic</span> Ocean including the Laptev, E. Siberian, Chukchi, Beaufort, and central <span class="hlt">Arctic</span> regions with mean differences as large as 38.3 days in the Barents <span class="hlt">Sea</span>. Trend agreement improves for our more consistent MO dates for nearly all regions. Mean differences remain large, primarily due to differing sensitivity of in-algorithm thresholds and larger uncertainties in thin-ice regions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PolSc..14....9C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PolSc..14....9C"><span>Can preferred atmospheric circulation patterns over the North-Atlantic-Eurasian region be associated with <span class="hlt">arctic</span> <span class="hlt">sea</span> ice loss?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Crasemann, Berit; Handorf, Dörthe; Jaiser, Ralf; Dethloff, Klaus; Nakamura, Tetsu; Ukita, Jinro; Yamazaki, Koji</p> <p>2017-12-01</p> <p>In the framework of atmospheric circulation regimes, we study whether the recent <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss and <span class="hlt">Arctic</span> Amplification are associated with changes in the frequency of occurrence of preferred atmospheric circulation patterns during the extended winter season from December to March. To determine regimes we applied a cluster analysis to <span class="hlt">sea</span>-level pressure fields from reanalysis data and output from an atmospheric general circulation model. The specific set up of the two analyzed model simulations for low and high ice conditions allows for attributing differences between the simulations to the prescribed <span class="hlt">sea</span> ice changes only. The reanalysis data revealed two circulation patterns that occur more frequently for low <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice conditions: a Scandinavian blocking in December and January and a negative North Atlantic Oscillation pattern in February and March. An analysis of related patterns of synoptic-scale activity and 2 m temperatures provides a synoptic interpretation of the corresponding large-scale regimes. The regimes that occur more frequently for low <span class="hlt">sea</span> ice conditions are resembled reasonably well by the model simulations. Based on those results we conclude that the detected changes in the frequency of occurrence of large-scale circulation patterns can be associated with changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3328492','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3328492"><span>Demersal Fish Assemblages and Spatial Diversity Patterns in the <span class="hlt">Arctic</span>-Atlantic Transition Zone in the Barents <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Johannesen, Edda; Høines, Åge S.; Dolgov, Andrey V.; Fossheim, Maria</p> <p>2012-01-01</p> <p>Direct and indirect effects of global warming are expected to be pronounced and fast in the <span class="hlt">Arctic</span>, impacting terrestrial, freshwater and marine ecosystems. The Barents <span class="hlt">Sea</span> is a high latitude shelf <span class="hlt">Sea</span> and a boundary area between <span class="hlt">arctic</span> and boreal faunas. These faunas are likely to respond differently to changes in climate. In addition, the Barents <span class="hlt">Sea</span> is highly impacted by fisheries and other human activities. This strong human presence places great demands on scientific investigation and advisory capacity. In order to identify basic community structures against which future climate related or other human induced changes could be evaluated, we analyzed species composition and diversity of demersal fish in the Barents <span class="hlt">Sea</span>. We found six main assemblages that were separated along depth and temperature gradients. There are indications that climate driven changes have already taken place, since boreal species were found in large parts of the Barents <span class="hlt">Sea</span> shelf, including also the northern <span class="hlt">Arctic</span> area. When modelling diversity as a function of depth and temperature, we found that two of the assemblages in the eastern Barents <span class="hlt">Sea</span> showed lower diversity than expected from their depth and temperature. This is probably caused by low habitat complexity and the distance to the pool of boreal species in the western Barents <span class="hlt">Sea</span>. In contrast coastal assemblages in south western Barents <span class="hlt">Sea</span> and along Novaya Zemlya archipelago in the Eastern Barents <span class="hlt">Sea</span> can be described as diversity “hotspots”; the South-western area had high density of species, abundance and biomass, and here some species have their northern distribution limit, whereas the Novaya Zemlya area has unique fauna of <span class="hlt">Arctic</span>, coastal demersal fish. (see Information S1 for abstract in Russian). PMID:22545093</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_21 --> <div id="page_22" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="421"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70021023','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70021023"><span>Physical characteristics of summer <span class="hlt">sea</span> ice across the <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Tucker, W. B.; Gow, A.J.; Meese, D.A.; Bosworth, H.W.; Reimnitz, E.</p> <p>1999-01-01</p> <p><span class="hlt">Sea</span> ice characteristics were investigated during July and August on the 1994 transect across the <span class="hlt">Arctic</span> Ocean. Properties examined from ice cores included salinity, temperature, and ice structure. Salinities measured near zero at the surface, increasing to 3-4??? at the ice-water interface. Ice crystal texture was dominated by columnar ice, comprising 90% of the ice sampled. Surface albedos of various ice types, measured with radiometers, showed integrated shortwave albedos of 0.1 to 0.3 for melt ponds, 0.5 for bare, discolored ice, and 0.6 to 0.8 for a deteriorated surface or snow-covered ice. Aerial photography was utilized to document the distribution of open melt ponds, which decreased from 12% coverage of the ice surface in late July at 76??N to almost none in mid-August at 88??N. Most melt ponds were shallow, and depth bore no relationship to size. Sediment was pervasive from the southern Chukchi <span class="hlt">Sea</span> to the north pole, occurring in bands or patches. It was absent in the Eurasian <span class="hlt">Arctic</span>, where it had been observed on earlier expeditions. Calculations of reverse trajectories of the sediment-bearing floes suggest that the southernmost sediment was entrained during ice formation in the Beaufort <span class="hlt">Sea</span> while more northerly samples probably originated in the East Siberian <span class="hlt">Sea</span>, some as far west as the New Siberian Islands.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016BGeo...13.4555S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016BGeo...13.4555S"><span>Distribution of <span class="hlt">Arctic</span> and Pacific copepods and their habitat in the northern Bering and Chukchi <span class="hlt">seas</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sasaki, Hiroko; Matsuno, Kohei; Fujiwara, Amane; Onuka, Misaki; Yamaguchi, Atsushi; Ueno, Hiromichi; Watanuki, Yutaka; Kikuchi, Takashi</p> <p>2016-08-01</p> <p>The advection of warm Pacific water and the reduction in <span class="hlt">sea</span> ice in the western <span class="hlt">Arctic</span> Ocean may influence the abundance and distribution of copepods, a key component of food webs. To quantify the factors affecting the abundance of copepods in the northern Bering and Chukchi <span class="hlt">seas</span>, we constructed habitat models explaining the spatial patterns of large and small <span class="hlt">Arctic</span> and Pacific copepods separately. Copepods were sampled using NORPAC (North Pacific Standard) nets. The structures of water masses indexed by principle component analysis scores, satellite-derived timing of <span class="hlt">sea</span> ice retreat, bottom depth and chlorophyll a concentration were integrated into generalized additive models as explanatory variables. The adequate models for all copepods exhibited clear continuous relationships between the abundance of copepods and the indexed water masses. Large <span class="hlt">Arctic</span> copepods were abundant at stations where the bottom layer was saline; however they were scarce at stations where warm fresh water formed the upper layer. Small <span class="hlt">Arctic</span> copepods were abundant at stations where the upper layer was warm and saline and the bottom layer was cold and highly saline. In contrast, Pacific copepods were abundant at stations where the Pacific-origin water mass was predominant (i.e. a warm, saline upper layer and saline and a highly saline bottom layer). All copepod groups showed a positive relationship with early <span class="hlt">sea</span> ice retreat. Early <span class="hlt">sea</span> ice retreat has been reported to initiate spring blooms in open water, allowing copepods to utilize more food while maintaining their high activity in warm water without <span class="hlt">sea</span> ice and cold water. This finding indicates that early <span class="hlt">sea</span> ice retreat has positive effects on the abundance of all copepod groups in the northern Bering and Chukchi <span class="hlt">seas</span>, suggesting a change from a pelagic-benthic-type ecosystem to a pelagic-pelagic type.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28283355','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28283355"><span>Radiocesium in the western subarctic area of the North Pacific Ocean, Bering <span class="hlt">Sea</span>, and <span class="hlt">Arctic</span> Ocean in 2013 and 2014.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kumamoto, Yuichiro; Aoyama, Michio; Hamajima, Yasunori; Nishino, Shigeto; Murata, Akihiko; Kikuchi, Takashi</p> <p>2017-08-01</p> <p>We measured radiocesium ( 134 Cs and 137 Cs) in seawater from the western subarctic area of the North Pacific Ocean, Bering <span class="hlt">Sea</span>, and <span class="hlt">Arctic</span> Ocean in 2013 and 2014. Fukushima-derived 134 Cs in surface seawater was observed in the western subarctic area and Bering <span class="hlt">Sea</span> but not in the <span class="hlt">Arctic</span> Ocean. Vertical profile of 134 Cs in the Canada Basin of the <span class="hlt">Arctic</span> Ocean implies that Fukushima-derived 134 Cs intruded into the basin from the Bering <span class="hlt">Sea</span> through subsurface (150m depth) in 2014. Copyright © 2017 Elsevier Ltd. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20617361','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20617361"><span>Hematology of southern Beaufort <span class="hlt">Sea</span> polar bears (2005-2007): biomarker for an <span class="hlt">Arctic</span> ecosystem health sentinel.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kirk, Cassandra M; Amstrup, Steven; Swor, Rhonda; Holcomb, Darce; O'Hara, Todd M</p> <p>2010-09-01</p> <p>Declines in <span class="hlt">sea</span>-ice habitats have resulted in declining stature, productivity, and survival of polar bears in some regions. With continuing <span class="hlt">sea</span>-ice declines, negative population effects are projected to expand throughout the polar bear's range. Precise causes of diminished polar bear life history performance are unknown, however, climate and <span class="hlt">sea</span>-ice condition change are expected to adversely impact polar bear (Ursus maritimus) health and population dynamics. As apex predators in the <span class="hlt">Arctic</span>, polar bears integrate the status of lower trophic levels and are therefore sentinels of ecosystem health. <span class="hlt">Arctic</span> residents feed at the apex of the ecosystem, thus polar bears can serve as indicators of human health in the <span class="hlt">Arctic</span>. Despite their value as indicators of ecosystem welfare, population-level health data for U.S. polar bears are lacking. We present hematological reference ranges for southern Beaufort <span class="hlt">Sea</span> polar bears. Hematological parameters in southern Beaufort <span class="hlt">Sea</span> polar bears varied by age, geographic location, and reproductive status. Total leukocytes, lymphocytes, monocytes, eosinophils, and serum immunoglobulin G were significantly greater in males than females. These measures were greater in nonlactating females ages ≥5, than lactating adult females ages ≥5, suggesting that females encumbered by young may be less resilient to new immune system challenges that may accompany ongoing climate change. Hematological values established here provide a necessary baseline for anticipated changes in health as <span class="hlt">arctic</span> temperatures warm and <span class="hlt">sea</span>-ice declines accelerate. Data suggest that females with dependent young may be most vulnerable to these changes and should therefore be a targeted cohort for monitoring in this sentinel.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/AD1013695','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/AD1013695"><span>Wave Climate and Wave Mixing in the Marginal Ice Zones of <span class="hlt">Arctic</span> <span class="hlt">Seas</span>, Observations and Modelling</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2015-09-30</p> <p>ababanin.com/ LONG-TERM GOALS The long-term goals of the present project are two: wind/wave climatology for the <span class="hlt">Arctic</span> <span class="hlt">Seas</span>, and their current...OBJECTIVES The wind/wave climatology for the <span class="hlt">Arctic</span> <span class="hlt">Seas</span> will be developed based on altimeter observations. It will have a major scientific and...applied significance as presently there is no reference climatology for this region of the ocean available. The new versions of wave models for the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22337125','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22337125"><span>Enhanced <span class="hlt">sea</span>-ice export from the <span class="hlt">Arctic</span> during the Younger Dryas.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Not, Christelle; Hillaire-Marcel, Claude</p> <p>2012-01-31</p> <p>The Younger Dryas cold spell of the last deglaciation and related slowing of the Atlantic meridional overturning circulation have been linked to a large array of processes, notably an influx of fresh water into the North Atlantic related to partial drainage of glacial Lake Agassiz. Here we observe a major drainage event, in marine sediment cores raised from the Lomonosov Ridge, in the central <span class="hlt">Arctic</span> Ocean marked by a pulse in detrital dolomitic-limestones. This points to an <span class="hlt">Arctic</span>-Canadian sediment source area with about fivefold higher Younger Dryas ice-rafting deposition rate, in comparison with the Holocene. Our findings thus support the hypothesis of a glacial drainage event in the Canadian <span class="hlt">Arctic</span> area, at the onset of the Younger Dryas, enhancing <span class="hlt">sea</span>-ice production and drifting through the <span class="hlt">Arctic</span>, then export through Fram Strait, towards Atlantic meridional overturning circulation sites of the northern North Atlantic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29440667','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29440667"><span>Poleward upgliding Siberian atmospheric rivers over <span class="hlt">sea</span> ice heat up <span class="hlt">Arctic</span> upper air.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Komatsu, Kensuke K; Alexeev, Vladimir A; Repina, Irina A; Tachibana, Yoshihiro</p> <p>2018-02-13</p> <p>We carried out upper air measurements with radiosondes during the summer over the <span class="hlt">Arctic</span> Ocean from an icebreaker moving poleward from an ice-free region, through the ice edge, and into a region of thick ice. Rapid warming of the <span class="hlt">Arctic</span> is a significant environmental issue that occurs not only at the surface but also throughout the troposphere. In addition to the widely accepted mechanisms responsible for the increase of tropospheric warming during the summer over the <span class="hlt">Arctic</span>, we showed a new potential contributing process to the increase, based on our direct observations and supporting numerical simulations and statistical analyses using a long-term reanalysis dataset. We refer to this new process as "Siberian Atmospheric Rivers (SARs)". Poleward upglides of SARs over cold air domes overlying <span class="hlt">sea</span> ice provide the upper atmosphere with extra heat via condensation of water vapour. This heating drives increased buoyancy and further strengthens the ascent and heating of the mid-troposphere. This process requires the combination of SARs and <span class="hlt">sea</span> ice as a land-ocean-atmosphere system, the implication being that large-scale heat and moisture transport from the lower latitudes can remotely amplify the warming of the <span class="hlt">Arctic</span> troposphere in the summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20000021334','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20000021334"><span>Airborne Spectral Measurements of Surface-Atmosphere Anisotropy for <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice and Tundra</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Arnold, G. Thomas; Tsay, Si-Chee; King, Michael D.; Li, Jason Y.; Soulen, Peter F.</p> <p>1999-01-01</p> <p>Angular distributions of spectral reflectance for four common <span class="hlt">arctic</span> surfaces: snow-covered <span class="hlt">sea</span> ice, melt-season <span class="hlt">sea</span> ice, snow-covered tundra, and tundra shortly after snowmelt were measured using an aircraft based, high angular resolution (1-degree) multispectral radiometer. Results indicate bidirectional reflectance is higher for snow-covered <span class="hlt">sea</span> ice than melt-season <span class="hlt">sea</span> ice at all wavelengths between 0.47 and 2.3 pm, with the difference increasing with wavelength. Bidirectional reflectance of snow-covered tundra is higher than for snow-free tundra for measurements less than 1.64 pm, with the difference decreasing with wavelength. Bidirectional reflectance patterns of all measured surfaces show maximum reflectance in the forward scattering direction of the principal plane, with identifiable specular reflection for the melt-season <span class="hlt">sea</span> ice and snow-free tundra cases. The snow-free tundra had the most significant backscatter, and the melt-season <span class="hlt">sea</span> ice the least. For <span class="hlt">sea</span> ice, bidirectional reflectance changes due to snowmelt were more significant than differences among the different types of melt-season <span class="hlt">sea</span> ice. Also the spectral-hemispherical (plane) albedo of each measured <span class="hlt">arctic</span> surface was computed. Comparing measured nadir reflectance to albedo for <span class="hlt">sea</span> ice and snow-covered tundra shows albedo underestimated 5-40%, with the largest bias at wavelengths beyond 1 pm. For snow-free tundra, nadir reflectance underestimates plane albedo by about 30-50%.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2010/1176/','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2010/1176/"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline: Projected changes in timing and extent of <span class="hlt">sea</span> ice in the Bering and Chukchi <span class="hlt">Seas</span></span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Douglas, David C.</p> <p>2010-01-01</p> <p>The <span class="hlt">Arctic</span> region is warming faster than most regions of the world due in part to increasing greenhouse gases and positive feedbacks associated with the loss of snow and ice cover. One consequence has been a rapid decline in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the past 3 decades?a decline that is projected to continue by state-of-the-art models. Many stakeholders are therefore interested in how global warming may change the timing and extent of <span class="hlt">sea</span> ice <span class="hlt">Arctic</span>-wide, and for specific regions. To inform the public and decision makers of anticipated environmental changes, scientists are striving to better understand how <span class="hlt">sea</span> ice influences ecosystem structure, local weather, and global climate. Here, projected changes in the Bering and Chukchi <span class="hlt">Seas</span> are examined because <span class="hlt">sea</span> ice influences the presence of, or accessibility to, a variety of local resources of commercial and cultural value. In this study, 21st century <span class="hlt">sea</span> ice conditions in the Bering and Chukchi <span class="hlt">Seas</span> are based on projections by 18 general circulation models (GCMs) prepared for the fourth reporting period by the Intergovernmental Panel on Climate Change (IPCC) in 2007. <span class="hlt">Sea</span> ice projections are analyzed for each of two IPCC greenhouse gas forcing scenarios: the A1B `business as usual? scenario and the A2 scenario that is somewhat more aggressive in its CO2 emissions during the second half of the century. A large spread of uncertainty among projections by all 18 models was constrained by creating model subsets that excluded GCMs that poorly simulated the 1979-2008 satellite record of ice extent and seasonality. At the end of the 21st century (2090-2099), median <span class="hlt">sea</span> ice projections among all combinations of model ensemble and forcing scenario were qualitatively similar. June is projected to experience the least amount of <span class="hlt">sea</span> ice loss among all months. For the Chukchi <span class="hlt">Sea</span>, projections show extensive ice melt during July and ice-free conditions during August, September, and October by the end of the century, with high agreement</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMPA31B2160M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMPA31B2160M"><span>Effectively Communicating Information about Dynamically Changing <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice to the Public through the Global Fiducials Program</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Molnia, B. F.; Friesen, B.; Wilson, E.; Noble, S.</p> <p>2015-12-01</p> <p>On July 15, 2009, the National Academy of Sciences (NAS) released a report, Scientific Value of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Imagery Derived Products, advocating public release of <span class="hlt">Arctic</span> images derived from classified data. In the NAS press release that announced the release, report lead Stephanie Pfirman states "To prepare for a possibly ice-free <span class="hlt">Arctic</span> and its subsequent effects on the environment, economy, and national security, it is critical to have accurate projections of changes over the next several decades." In the same release NAS President Ralph Cicerone states "We hope that these images are the first of many that could help scientists learn how the changing climate could impact the environment and our society." The same day, Secretary of the Interior Ken Salazar announced that the requested images had been released and were available to the public on a US Geological Survey Global Fiducials Program (GFP) Library website (http://gfl.usgs.gov). The website was developed by the USGS to provide public access to the images and to support environmental analysis of global climate-related science. In the statement describing the release titled, Information Derived from Classified Materials Will Aid Understanding of Changing Climate, Secretary Salazar states "We need the best data from all places if we are to meet the challenges that rising carbon emissions are creating. This information will be invaluable to scientists, researchers, and the public as we tackle climate change." Initially about 700 <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice images were released. Six years later, the number exceeds 1,500. The GFP continues to facilitate the acquisition of new <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice imagery from US National Imagery Systems. This example demonstrates how information about dynamically changing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice continues to be effectively communicated to the public by the GFP. In addition to <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice imagery, the GFP has publicly released imagery time series of more than 125 other environmentally important</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=243451&keyword=records&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50','EPA-EIMS'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?dirEntryId=243451&keyword=records&actType=&TIMSType=+&TIMSSubTypeID=&DEID=&epaNumber=&ntisID=&archiveStatus=Both&ombCat=Any&dateBeginCreated=&dateEndCreated=&dateBeginPublishedPresented=&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&dateBeginCompleted=&dateEndCompleted=&personID=&role=Any&journalID=&publisherID=&sortBy=revisionDate&count=50"><span>Moderate-resolution <span class="hlt">sea</span> surface temperature data for the <span class="hlt">Arctic</span> Ocean Ecoregions</span></a></p> <p><a target="_blank" href="http://oaspub.epa.gov/eims/query.page">EPA Science Inventory</a></p> <p></p> <p></p> <p><span class="hlt">Sea</span> surface temperature (SST) is an important environmental characteristic in determining the suitability and sustainability of habitats for marine organisms. Of particular interest is the fate of the <span class="hlt">Arctic</span> Ocean, which provides critical habitat to commercially important fish (M...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5856068','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5856068"><span>Scaling Properties of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Deformation in a High‐Resolution Viscous‐Plastic <span class="hlt">Sea</span> Ice Model and in Satellite Observations</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Losch, Martin; Menemenlis, Dimitris</p> <p>2018-01-01</p> <p>Abstract <span class="hlt">Sea</span> ice models with the traditional viscous‐plastic (VP) rheology and very small horizontal grid spacing can resolve leads and deformation rates localized along Linear Kinematic Features (LKF). In a 1 km pan‐<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice‐ocean simulation, the small‐scale <span class="hlt">sea</span> ice deformations are evaluated with a scaling analysis in relation to satellite observations of the Envisat Geophysical Processor System (EGPS) in the Central <span class="hlt">Arctic</span>. A new coupled scaling analysis for data on Eulerian grids is used to determine the spatial and temporal scaling and the coupling between temporal and spatial scales. The spatial scaling of the modeled <span class="hlt">sea</span> ice deformation implies multifractality. It is also coupled to temporal scales and varies realistically by region and season. The agreement of the spatial scaling with satellite observations challenges previous results with VP models at coarser resolution, which did not reproduce the observed scaling. The temporal scaling analysis shows that the VP model, as configured in this 1 km simulation, does not fully resolve the intermittency of <span class="hlt">sea</span> ice deformation that is observed in satellite data. PMID:29576996</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRC..123..672H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRC..123..672H"><span>Scaling Properties of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Deformation in a High-Resolution Viscous-Plastic <span class="hlt">Sea</span> Ice Model and in Satellite Observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hutter, Nils; Losch, Martin; Menemenlis, Dimitris</p> <p>2018-01-01</p> <p><span class="hlt">Sea</span> ice models with the traditional viscous-plastic (VP) rheology and very small horizontal grid spacing can resolve leads and deformation rates localized along Linear Kinematic Features (LKF). In a 1 km pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice-ocean simulation, the small-scale <span class="hlt">sea</span> ice deformations are evaluated with a scaling analysis in relation to satellite observations of the Envisat Geophysical Processor System (EGPS) in the Central <span class="hlt">Arctic</span>. A new coupled scaling analysis for data on Eulerian grids is used to determine the spatial and temporal scaling and the coupling between temporal and spatial scales. The spatial scaling of the modeled <span class="hlt">sea</span> ice deformation implies multifractality. It is also coupled to temporal scales and varies realistically by region and season. The agreement of the spatial scaling with satellite observations challenges previous results with VP models at coarser resolution, which did not reproduce the observed scaling. The temporal scaling analysis shows that the VP model, as configured in this 1 km simulation, does not fully resolve the intermittency of <span class="hlt">sea</span> ice deformation that is observed in satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29576996','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29576996"><span>Scaling Properties of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Deformation in a High-Resolution Viscous-Plastic <span class="hlt">Sea</span> Ice Model and in Satellite Observations.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hutter, Nils; Losch, Martin; Menemenlis, Dimitris</p> <p>2018-01-01</p> <p><span class="hlt">Sea</span> ice models with the traditional viscous-plastic (VP) rheology and very small horizontal grid spacing can resolve leads and deformation rates localized along Linear Kinematic Features (LKF). In a 1 km pan-<span class="hlt">Arctic</span> <span class="hlt">sea</span> ice-ocean simulation, the small-scale <span class="hlt">sea</span> ice deformations are evaluated with a scaling analysis in relation to satellite observations of the Envisat Geophysical Processor System (EGPS) in the Central <span class="hlt">Arctic</span>. A new coupled scaling analysis for data on Eulerian grids is used to determine the spatial and temporal scaling and the coupling between temporal and spatial scales. The spatial scaling of the modeled <span class="hlt">sea</span> ice deformation implies multifractality. It is also coupled to temporal scales and varies realistically by region and season. The agreement of the spatial scaling with satellite observations challenges previous results with VP models at coarser resolution, which did not reproduce the observed scaling. The temporal scaling analysis shows that the VP model, as configured in this 1 km simulation, does not fully resolve the intermittency of <span class="hlt">sea</span> ice deformation that is observed in satellite data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016CSR...118..154S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016CSR...118..154S"><span>Surface water mass composition changes captured by cores of <span class="hlt">Arctic</span> land-fast <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Smith, I. J.; Eicken, H.; Mahoney, A. R.; Van Hale, R.; Gough, A. J.; Fukamachi, Y.; Jones, J.</p> <p>2016-04-01</p> <p>In the <span class="hlt">Arctic</span>, land-fast <span class="hlt">sea</span> ice growth can be influenced by fresher water from rivers and residual summer melt. This paper examines a method to reconstruct changes in water masses using oxygen isotope measurements of <span class="hlt">sea</span> ice cores. To determine changes in <span class="hlt">sea</span> water isotope composition over the course of the ice growth period, the output of a <span class="hlt">sea</span> ice thermodynamic model (driven with reanalysis data, observations of snow depth, and freeze-up dates) is used along with <span class="hlt">sea</span> ice oxygen isotope measurements and an isotopic fractionation model. Direct measurements of <span class="hlt">sea</span> ice growth rates are used to validate the output of the <span class="hlt">sea</span> ice growth model. It is shown that for <span class="hlt">sea</span> ice formed during the 2011/2012 ice growth season at Barrow, Alaska, large changes in isotopic composition of the ocean waters were captured by the <span class="hlt">sea</span> ice isotopic composition. Salinity anomalies in the ocean were also tracked by moored instruments. These data indicate episodic advection of meteoric water, having both lower salinity and lower oxygen isotopic composition, during the winter <span class="hlt">sea</span> ice growth season. Such advection of meteoric water during winter is surprising, as no surface meltwater and no local river discharge should be occurring at this time of year in that area. How accurately changes in water masses as indicated by oxygen isotope composition can be reconstructed using oxygen isotope analysis of <span class="hlt">sea</span> ice cores is addressed, along with methods/strategies that could be used to further optimize the results. The method described will be useful for winter detection of meteoric water presence in <span class="hlt">Arctic</span> fast ice regions, which is important for climate studies in a rapidly changing <span class="hlt">Arctic</span>. Land-fast <span class="hlt">sea</span> ice effective fractionation coefficients were derived, with a range of +1.82‰ to +2.52‰. Those derived effective fractionation coefficients will be useful for future water mass component proportion calculations. In particular, the equations given can be used to inform choices made when</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA624416','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA624416"><span><span class="hlt">Sea</span> Ice Sensitivities in the 0.72 deg and 0.08 deg <span class="hlt">Arctic</span> Cap Coupled HYCOM/CICE Models</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2014-09-30</p> <p>1 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. <span class="hlt">Sea</span> Ice Sensitivities in the 0.72°and 0.08° <span class="hlt">Arctic</span> Cap...<span class="hlt">Arctic</span> ice extent, which corresponds to the <span class="hlt">sea</span> ice that remains during the summer minimum, has decreased over the years 1979–2007 by more than 10% per...Goosse et al. 2009) with the lowest observed <span class="hlt">sea</span> ice extent in the satellite record (1979-present) occurring in September 2012 (Perovich et al. 2012</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C33B1188C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C33B1188C"><span>Observational Evidence for Enhanced Greenhouse Effect Reinforcing Wintertime <span class="hlt">Arctic</span> Amplification and <span class="hlt">Sea</span> Ice Melting Onset</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cao, Y.; Liang, S.</p> <p>2017-12-01</p> <p>Despite an apparent hiatus in global warming, the <span class="hlt">Arctic</span> climate continues to experience unprecedented changes. Summer <span class="hlt">sea</span> ice is retreating at an accelerated rate, and surface temperatures in this region are rising at a rate double that of the global average, a phenomenon known as <span class="hlt">Arctic</span> amplification. Although a lot of efforts have been made, the causes this unprecedented phenomenon remain unclear and are subjects of considerable debate. In this study, we report strong observational evidence, for the first time from long-term (1984-2014) spatially complete satellite records, that increased cloudiness and atmospheric water vapor in winter and spring have caused an extraordinary downward longwave radiative flux to the ice surface, which may then amplify the <span class="hlt">Arctic</span> wintertime ice-surface warming. In addition, we also provide observed evidence that it is quite likely the enhancement of the wintertime greenhouse effect caused by water vapor and cloudiness has advanced the time of onset of ice melting in mid-May through inhibiting <span class="hlt">sea</span>-ice refreezing in the winter and accelerating the pre-melting process in the spring, and in turn triggered the positive <span class="hlt">sea</span>-ice albedo feedback process and accelerated the <span class="hlt">sea</span> ice melting in the summer.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JMS...165..124H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JMS...165..124H"><span>The importance of <span class="hlt">sea</span> ice for exchange of habitat-specific protist communities in the Central <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hardge, Kristin; Peeken, Ilka; Neuhaus, Stefan; Lange, Benjamin A.; Stock, Alexandra; Stoeck, Thorsten; Weinisch, Lea; Metfies, Katja</p> <p>2017-01-01</p> <p><span class="hlt">Sea</span> ice is one of the main features influencing the <span class="hlt">Arctic</span> marine protist community composition and diversity in <span class="hlt">sea</span> ice and <span class="hlt">sea</span> water. We analyzed protist communities within <span class="hlt">sea</span> ice, melt pond water, under-ice water and deep-chlorophyll maximum water at eight <span class="hlt">sea</span> ice stations sampled during summer of the 2012 record <span class="hlt">sea</span> ice minimum year. Using Illumina sequencing, we identified characteristic communities associated with specific habitats and investigated protist exchange between these habitats. The highest abundance and diversity of unique taxa were found in <span class="hlt">sea</span> ice, particularly in multi-year ice (MYI), highlighting the importance of <span class="hlt">sea</span> ice as a unique habitat for <span class="hlt">sea</span> ice protists. Melting of <span class="hlt">sea</span> ice was associated with increased exchange of communities between <span class="hlt">sea</span> ice and the underlying water column. In contrast, <span class="hlt">sea</span> ice formation was associated with increased exchange between all four habitats, suggesting that brine rejection from the ice is an important factor for species redistribution in the Central <span class="hlt">Arctic</span>. Ubiquitous taxa (e.g. Gymnodinium) that occurred in all habitats still had habitat-preferences. This demonstrates a limited ability to survive in adjacent but different environments. Our results suggest that the continued reduction of <span class="hlt">sea</span> ice extent, and particularly of MYI, will likely lead to diminished protist exchange and subsequently, could reduce species diversity in all habitats of the Central <span class="hlt">Arctic</span> Ocean. An important component of the unique <span class="hlt">sea</span> ice protist community could be endangered because specialized taxa restricted to this habitat may not be able to adapt to rapid environmental changes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70036498','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70036498"><span>Chapter 9: Oil and gas resource potential north of the <span class="hlt">Arctic</span> Circle</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Gautier, D.L.; Bird, K.J.; Charpentier, R.R.; Grantz, A.; Houseknecht, D.W.; Klett, T.R.; Moore, Thomas E.; Pitman, Janet K.; Schenk, C.J.; Schuenemeyer, J.H.; Sorensen, K.; Tennyson, Marilyn E.; Valin, Z.C.; Wandrey, C.J.</p> <p>2011-01-01</p> <p>The US Geological Survey recently assessed the potential for undiscovered conventional petroleumin the <span class="hlt">Arctic</span>. Using a new map compilation of sedimentary elements, the area north of the <span class="hlt">Arctic</span> Circle was subdivided into 70 assessment units, 48 of which were quantitatively assessed. The Circum-<span class="hlt">Arctic</span> Resource Appraisal (CARA) was a geologically based, probabilistic study that relied mainly on burial history analysis and analogue modelling to estimate sizes and numbers of undiscovered oil and gas accumulations. The results of the CARA suggest the <span class="hlt">Arctic</span> is gas-prone with an estimated 770-2990 trillion cubic feet of undiscovered conventional natural gas, most of which is in Russian territory. On an energy-equivalent basis, the quantity of natural gas ismore than three times the quantity of oil and the largest undiscovered gas eld is expected to be about 10 times the size of the largest undiscovered oil eld. In addition to gas, the gas accumulationsmay contain an estimated 39 billion barrels of liquids. The South <span class="hlt">Kara</span> <span class="hlt">Sea</span> is themost prospective gas assessment unit, but giant gas elds containingmore than 6 trillion cubic feet of recoverable gas are possible at a 50%chance in 10 assessment units. Sixty per cent of the estimated undiscovered oil resource is in just six assessment units, of which the Alaska Platform, with 31%of the resource, is the most prospective. Overall, the <span class="hlt">Arctic</span> is estimated to contain between 44 and 157 billion barrels of recoverable oil. Billion barrel oil elds are possible at a 50%chance in seven assessment units.Undiscovered oil resources could be signicant to the <span class="hlt">Arctic</span> nations, but are probably not sufcient to shift the world oil balance away from the Middle East. ?? 2011 The Geological Society of London.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110008453&hterms=Influence+clouds+climate&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DInfluence%2Bclouds%2Bclimate','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110008453&hterms=Influence+clouds+climate&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DInfluence%2Bclouds%2Bclimate"><span>Influence of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Extent on Polar Cloud Fraction and Vertical Structure and Implications for Regional Climate</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Palm, Stephen P.; Strey, Sara T.; Spinhirne, James; Markus, Thorsten</p> <p>2010-01-01</p> <p>Recent satellite lidar measurements of cloud properties spanning a period of 5 years are used to examine a possible connection between <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice amount and polar cloud fraction and vertical distribution. We find an anticorrelation between <span class="hlt">sea</span> ice extent and cloud fraction with maximum cloudiness occurring over areas with little or no <span class="hlt">sea</span> ice. We also find that over ice!free regions, there is greater low cloud frequency and average optical depth. Most of the optical depth increase is due to the presence of geometrically thicker clouds over water. In addition, our analysis indicates that over the last 5 years, October and March average polar cloud fraction has increased by about 7% and 10%, respectively, as year average <span class="hlt">sea</span> ice extent has decreased by 5% 7%. The observed cloud changes are likely due to a number of effects including, but not limited to, the observed decrease in <span class="hlt">sea</span> ice extent and thickness. Increasing cloud amount and changes in vertical distribution and optical properties have the potential to affect the radiative balance of the <span class="hlt">Arctic</span> region by decreasing both the upwelling terrestrial longwave radiation and the downward shortwave solar radiation. Because longwave radiation dominates in the long polar winter, the overall effect of increasing low cloud cover is likely a warming of the <span class="hlt">Arctic</span> and thus a positive climate feedback, possibly accelerating the melting of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_22 --> <div id="page_23" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="441"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1814515Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1814515Y"><span>Observed microphysical changes in <span class="hlt">Arctic</span> mixed-phase clouds when transitioning from <span class="hlt">sea</span>-ice to open ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Young, Gillian; Jones, Hazel M.; Crosier, Jonathan; Bower, Keith N.; Darbyshire, Eoghan; Taylor, Jonathan W.; Liu, Dantong; Allan, James D.; Williams, Paul I.; Gallagher, Martin W.; Choularton, Thomas W.</p> <p>2016-04-01</p> <p>The <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice is intricately coupled to the atmosphere[1]. The decreasing <span class="hlt">sea</span>-ice extent with the changing climate raises questions about how <span class="hlt">Arctic</span> cloud structure will respond. Any effort to answer these questions is hindered by the scarcity of atmospheric observations in this region. Comprehensive cloud and aerosol measurements could allow for an improved understanding of the relationship between surface conditions and cloud structure; knowledge which could be key in validating weather model forecasts. Previous studies[2] have shown via remote sensing that cloudiness increases over the marginal ice zone (MIZ) and ocean with comparison to the <span class="hlt">sea</span>-ice; however, to our knowledge, detailed in-situ data of this transition have not been previously presented. In 2013, the Aerosol-Cloud Coupling and Climate Interactions in the <span class="hlt">Arctic</span> (ACCACIA) campaign was carried out in the vicinity of Svalbard, Norway to collect in-situ observations of the <span class="hlt">Arctic</span> atmosphere and investigate this issue. Fitted with a suite of remote sensing, cloud and aerosol instrumentation, the FAAM BAe-146 aircraft was used during the spring segment of the campaign (Mar-Apr 2013). One case study (23rd Mar 2013) produced excellent coverage of the atmospheric changes when transitioning from <span class="hlt">sea</span>-ice, through the MIZ, to the open ocean. Clear microphysical changes were observed, with the cloud liquid-water content increasing by almost four times over the transition. Cloud base, depth and droplet number also increased, whilst ice number concentrations decreased slightly. The surface warmed by ~13 K from <span class="hlt">sea</span>-ice to ocean, with minor differences in aerosol particle number (of sizes corresponding to Cloud Condensation Nuclei or Ice Nucleating Particles) observed, suggesting that the primary driver of these microphysical changes was the increased heat fluxes and induced turbulence from the warm ocean surface as expected. References: [1] Kapsch, M.L., Graversen, R.G. and Tjernström, M. Springtime</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170012182','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170012182"><span>Inter-Relationship Between Subtropical Pacific <span class="hlt">Sea</span> Surface Temperature, <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Concentration, and the North Atlantic Oscillation in Recent Summers and Winters</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lim, Young-Kwon; Cullather, Richard I.; Nowicki, Sophie M.; Kim, Kyu-Myong</p> <p>2017-01-01</p> <p>The inter-relationship between subtropical western-central Pacific <span class="hlt">sea</span> surface temperatures (STWCPSST), <span class="hlt">sea</span> ice concentration in the Beaufort <span class="hlt">Sea</span> (SICBS), and the North Atlantic Oscillation (NAO) are investigated for the last 37 summers and winters (1980-2016). Lag-correlation of the STWCPSST×(-1) in spring with the NAO phase and SICBS in summer increases over the last two decades, reaching r = 0.4-0.5 with significance at 5 percent, while winter has strong correlations in approximately 1985-2005. Observational analysis and the atmospheric general circulation model experiments both suggest that STWCPSST warming acts to increase the <span class="hlt">Arctic</span> geopotential height and temperature in the following season. This atmospheric response extends to Greenland, providing favorable conditions for developing the negative phase of the NAO. SIC and surface albedo tend to decrease over the Beaufort <span class="hlt">Sea</span> in summer, linked to the positive surface net shortwave flux. Energy balance considering radiative and turbulent fluxes reveal that available energy that can heat surface is larger over the <span class="hlt">Arctic</span> and Greenland and smaller over the south of Greenland, in response to the STWCPSST warming in spring. XXXX <span class="hlt">Arctic</span> & Atlantic: Positive upper-level height/T anomaly over the <span class="hlt">Arctic</span> and Greenland, and a negative anomaly over the central-eastern Atlantic, resembling the (-) phase of the NAO. Pacific: The negative height/T anomaly over the mid-latitudes, along with the positive anomaly over the STWCP, where 1degC warming above climatology is prescribed. Discussion: It is likely that the <span class="hlt">Arctic</span> gets warm and the NAO is in the negative phase in response to the STWCP warming. But, there are other factors (e.g., internal variability) that contribute to determination of the NAO phase: not always the negative phase of the NAO in the event of STWCP warming (e.g.: recent winters and near neutral NAO in 2017 summer).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140013007','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140013007"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice in Transformation: A Review of Recent Observed Changes and Impacts on Biology and Human Activity</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Meier, Walter N.; Hovelsrud, Greta K.; van Oort, Bob E. H.; Key, Jeffrey R.; Kovacs, Kit M.; Michel, Christine; Haas, Christian; Granskog, Mats A.; Gerland, Sebastian; Perovich, Donald K.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140013007'); toggleEditAbsImage('author_20140013007_show'); toggleEditAbsImage('author_20140013007_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140013007_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140013007_hide"></p> <p>2014-01-01</p> <p><span class="hlt">Sea</span> ice in the <span class="hlt">Arctic</span> is one of the most rapidly changing components of the global climate system. Over the past few decades, summer areal extent has declined over 30, and all months show statistically significant declining trends. New satellite missions and techniques have greatly expanded information on <span class="hlt">sea</span> ice thickness, but many uncertainties remain in the satellite data and long-term records are sparse. However, thickness observations and other satellite-derived data indicate a 40 decline in thickness, due in large part to the loss of thicker, older ice cover. The changes in <span class="hlt">sea</span> ice are happening faster than models have projected. With continued increasing temperatures, summer ice-free conditions are likely sometime in the coming decades, though there are substantial uncertainties in the exact timing and high interannual variability will remain as <span class="hlt">sea</span> ice decreases. The changes in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice are already having an impact on flora and fauna in the <span class="hlt">Arctic</span>. Some species will face increasing challenges in the future, while new habitat will open up for other species. The changes are also affecting peoples living and working in the <span class="hlt">Arctic</span>. Native communities are facing challenges to their traditional ways of life, while new opportunities open for shipping, fishing, and natural resource extraction.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24599371','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24599371"><span>Temporal variability in <span class="hlt">arctic</span> fox diet as reflected in stable-carbon isotopes; the importance of <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Roth, James D</p> <p>2002-09-01</p> <p>Consumption of marine foods by terrestrial predators can lead to increased predator densities, potentially impacting their terrestrial resources. For <span class="hlt">arctic</span> foxes (Alopex lagopus), access to such marine foods in winter depends on <span class="hlt">sea</span> ice, which is threatened by global climate change. To quantify the importance of marine foods (seal carrion and seal pups) and document temporal variation in <span class="hlt">arctic</span> fox diet I measured the ratios of the stable isotopes of carbon ((13)C/(12)C) in hair of <span class="hlt">arctic</span> foxes near Cape Churchill, Manitoba, from 1994 to 1997. These hair samples were compared to the stable carbon isotope ratios of several prey species. Isotopic differences between seasonally dimorphic pelage types indicated a diet with a greater marine content in winter when <span class="hlt">sea</span> ice provided access to seal carrion. Annual variation in <span class="hlt">arctic</span> fox diet in both summer and winter was correlated with lemming abundance. Marine food sources became much more important in winters with low lemming populations, accounting for nearly half of the winter protein intake following a lemming decline. Potential alternative summer foods with isotopic signatures differing from lemmings included goose eggs and caribou, but these were unavailable in winter. Reliance on marine food sources in winter during periods of low lemming density demonstrates the importance of the <span class="hlt">sea</span> ice as a potential habitat for this <span class="hlt">arctic</span> fox population and suggests that a continued decline in <span class="hlt">sea</span> ice extent will disrupt an important link between the marine and terrestrial ecosystems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRC..121.8320Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRC..121.8320Z"><span>Seasonal and interannual variability of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice: A comparison between AO-FVCOM and observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, Yu; Chen, Changsheng; Beardsley, Robert C.; Gao, Guoping; Qi, Jianhua; Lin, Huichan</p> <p>2016-11-01</p> <p>A high-resolution (up to 2 km), unstructured-grid, fully ice-<span class="hlt">sea</span> coupled <span class="hlt">Arctic</span> Ocean Finite-Volume Community Ocean Model (AO-FVCOM) was used to simulate the <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> over the period 1978-2014. The spatial-varying horizontal model resolution was designed to better resolve both topographic and baroclinic dynamics scales over the <span class="hlt">Arctic</span> slope and narrow straits. The model-simulated <span class="hlt">sea</span> ice was in good agreement with available observed <span class="hlt">sea</span> ice extent, concentration, drift velocity and thickness, not only in seasonal and interannual variability but also in spatial distribution. Compared with six other <span class="hlt">Arctic</span> Ocean models (ECCO2, GSFC, INMOM, ORCA, NAME, and UW), the AO-FVCOM-simulated ice thickness showed a higher mean correlation coefficient of ˜0.63 and a smaller residual with observations. Model-produced ice drift speed and direction errors varied with wind speed: the speed and direction errors increased and decreased as the wind speed increased, respectively. Efforts were made to examine the influences of parameterizations of air-ice external and ice-water interfacial stresses on the model-produced bias. The ice drift direction was more sensitive to air-ice drag coefficients and turning angles than the ice drift speed. Increasing or decreasing either 10% in water-ice drag coefficient or 10° in water-ice turning angle did not show a significant influence on the ice drift velocity simulation results although the <span class="hlt">sea</span> ice drift speed was more sensitive to these two parameters than the <span class="hlt">sea</span> ice drift direction. Using the COARE 4.0-derived parameterization of air-water drag coefficient for wind stress did not significantly influence the ice drift velocity simulation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70037030','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70037030"><span>Hematology of southern Beaufort <span class="hlt">Sea</span> polar bears (2005-2007): Biomarker for an <span class="hlt">arctic</span> ecosystem health sentinel</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Kirk, Cassandra M.; Amstrup, Steven C.; Swor, Rhonda; Holcomb, Darce; O'Hara, T. M.</p> <p>2010-01-01</p> <p>Declines in <span class="hlt">sea</span>-ice habitats have resulted in declining stature, productivity, and survival of polar bears in some regions. With continuing <span class="hlt">sea</span>-ice declines, negative population effects are projected to expand throughout the polar bear's range. Precise causes of diminished polar bear life history performance are unknown, however, climate and <span class="hlt">sea</span>-ice condition change are expected to adversely impact polar bear (Ursus maritimus) health and population dynamics. As apex predators in the <span class="hlt">Arctic</span>, polar bears integrate the status of lower trophic levels and are therefore sentinels of ecosystem health. <span class="hlt">Arctic</span> residents feed at the apex of the ecosystem, thus polar bears can serve as indicators of human health in the <span class="hlt">Arctic</span>. Despite their value as indicators of ecosystem welfare, population-level health data for U.S. polar bears are lacking. We present hematological reference ranges for southern Beaufort <span class="hlt">Sea</span> polar bears. Hematological parameters in southern Beaufort <span class="hlt">Sea</span> polar bears varied by age, geographic location, and reproductive status. Total leukocytes, lymphocytes, monocytes, eosinophils, and serum immunoglobulin G were significantly greater in males than females. These measures were greater in nonlactating females ages ???5, than lactating adult females ages ???5, suggesting that females encumbered by young may be less resilient to new immune system challenges that may accompany ongoing climate change. Hematological values established here provide a necessary baseline for anticipated changes in health as <span class="hlt">arctic</span> temperatures warm and <span class="hlt">sea</span>-ice declines accelerate. Data suggest that females with dependent young may be most vulnerable to these changes and should therefore be a targeted cohort for monitoring in this sentinel. ?? 2010 International Association for Ecology and Health.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C24B..06D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C24B..06D"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Structure and Texture over Four Decades Using Landsat Archive Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Doulgeris, A. P.; Scambos, T.; Tiampo, K. F.</p> <p>2017-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is a sensitive indicator of <span class="hlt">Arctic</span> climate change, and has shown dramatic changes in recent decades, having thinned by 70% ( 3.5 m to 1.2 m between 1980 and 2015). Age distribution of the ice has changed in a similar fashion, with over 90% of the ice older than 5 winters now lost relative to 1985. To date, most of the data have been based on the continuous passive microwave record that began in 1978, which has 25 km grid resolution, or on SAR imagery with somewhat less frequent, less continuous observations. Landsat image data exist for the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice region north of Alaska and the MacKenzie River Delta area in Canada, the Canadian Archipelago, and Baffin Bay, extending back over 40 years. Resolution of the earliest Landsat MSS data is 56-70 m per pixel, and after 1984 many additional images at 30 m resolution are available. This 40+ year time period is used to investigate long-term changes in <span class="hlt">sea</span> ice properties, such as comparing image-based snapshots with the trend in seasonal extents today, as well as more novel properties like <span class="hlt">sea</span> ice roughness, lead structure and texture. The proposed study will initially investigate Landsat image analysis techniques to extract quantitative measures of ice roughness, lead fraction and perhaps morphological measures like lead linearity (which potentially indicate strength and compression history within the ice), and to explore these measures over the 40+ year time frame.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018BGeo...15.3169G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018BGeo...15.3169G"><span>Dimethyl sulfide dynamics in first-year <span class="hlt">sea</span> ice melt ponds in the Canadian <span class="hlt">Arctic</span> Archipelago</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gourdal, Margaux; Lizotte, Martine; Massé, Guillaume; Gosselin, Michel; Poulin, Michel; Scarratt, Michael; Charette, Joannie; Levasseur, Maurice</p> <p>2018-05-01</p> <p>Melt pond formation is a seasonal pan-<span class="hlt">Arctic</span> process. During the thawing season, melt ponds may cover up to 90 % of the <span class="hlt">Arctic</span> first-year <span class="hlt">sea</span> ice (FYI) and 15 to 25 % of the multi-year <span class="hlt">sea</span> ice (MYI). These pools of water lying at the surface of the <span class="hlt">sea</span> ice cover are habitats for microorganisms and represent a potential source of the biogenic gas dimethyl sulfide (DMS) for the atmosphere. Here we report on the concentrations and dynamics of DMS in nine melt ponds sampled in July 2014 in the Canadian <span class="hlt">Arctic</span> Archipelago. DMS concentrations were under the detection limit ( < 0.01 nmol L-1) in freshwater melt ponds and increased linearly with salinity (rs = 0.84, p ≤ 0.05) from ˜ 3 up to ˜ 6 nmol L-1 (avg. 3.7 ± 1.6 nmol L-1) in brackish melt ponds. This relationship suggests that the intrusion of seawater in melt ponds is a key physical mechanism responsible for the presence of DMS. Experiments were conducted with water from three melt ponds incubated for 24 h with and without the addition of two stable isotope-labelled precursors of DMS (dimethylsulfoniopropionate), (D6-DMSP) and dimethylsulfoxide (13C-DMSO). Results show that de novo biological production of DMS can take place within brackish melt ponds through bacterial DMSP uptake and cleavage. Our data suggest that FYI melt ponds could represent a reservoir of DMS available for potential flux to the atmosphere. The importance of this ice-related source of DMS for the <span class="hlt">Arctic</span> atmosphere is expected to increase as a response to the thinning of <span class="hlt">sea</span> ice and the areal and temporal expansion of melt ponds on <span class="hlt">Arctic</span> FYI.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018NatCC...8..362S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018NatCC...8..362S"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice at 1.5 and 2 °C</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Screen, James A.</p> <p>2018-05-01</p> <p>In the Paris Agreement, nations committed to a more ambitious climate policy target, aiming to limit global warming to 1.5 °C rather than 2 °C above pre-industrial levels. Climate models now show that achieving the 1.5 °C goal would make a big difference for <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170007774&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170007774&hterms=sea&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dsea"><span>Skillful Spring Forecasts of September <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Extent Using Passive Microwave Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Petty, A. A.; Schroder, D.; Stroeve, J. C.; Markus, Thorsten; Miller, Jeffrey A.; Kurtz, Nathan Timothy; Feltham, D. L.; Flocco, D.</p> <p>2017-01-01</p> <p>In this study, we demonstrate skillful spring forecasts of detrended September <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent using passive microwave observations of <span class="hlt">sea</span> ice concentration (SIC) and melt onset (MO). We compare these to forecasts produced using data from a sophisticated melt pond model, and find similar to higher skill values, where the forecast skill is calculated relative to linear trend persistence. The MO forecasts shows the highest skill in March-May, while the SIC forecasts produce the highest skill in June-August, especially when the forecasts are evaluated over recent years (since 2008). The high MO forecast skill in early spring appears to be driven primarily by the presence and timing of open water anomalies, while the high SIC forecast skill appears to be driven by both open water and surface melt processes. Spatial maps of detrended anomalies highlight the drivers of the different forecasts, and enable us to understand regions of predictive importance. Correctly capturing <span class="hlt">sea</span> ice state anomalies, along with changes in open water coverage appear to be key processes in skillfully forecasting summer <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70018795','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70018795"><span>Deep-<span class="hlt">sea</span> ostracode shell chemistry (Mg:Ca ratios) and late Quaternary <span class="hlt">Arctic</span> Ocean history</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Cronin, T. M.; Dwyer, Gary S.; Baker, P.A.; Rodriguez-Lazaro, J.; Briggs, W.M.; ,</p> <p>1996-01-01</p> <p>The magnesium:calcium (Mg:Ca) and strontium:calcium (Sr:Ca) ratios were investigated in shells of the benthic ostracode genus Krithe obtained from 64 core-tops from water depths of 73 to 4411 m in the <span class="hlt">Arctic</span> Ocean and Nordic <span class="hlt">seas</span> to determine the potential of ostracode shell chemistry for palaeoceanographic study. Shells from the Polar Surface Water (−1 to −1.5°C) had Mg:Ca molar ratios of about 0.006–0.008; shells from <span class="hlt">Arctic</span> Intermediate Water (+0.3 to +2.0°C) ranged from 0.09 to 0.013. Shells from the abyssal plain and ridges of the Nansen, Amundsen and Makarov basins and the Norwegian and Greenland <span class="hlt">seas</span> had a wide scatter of Mg:Ca ratios ranging from 0.007 to 0.012 that may signify post-mortem chemical alteration of the shells from <span class="hlt">Arctic</span> deep-<span class="hlt">sea</span> environments below about 1000 m water depth. There is a positive correlation (r2 = 0.59) between Mg:Ca ratios and bottom-water temperature in Krithe shells from <span class="hlt">Arctic</span> and Nordic <span class="hlt">seas</span> from water depths <900 m. Late Quaternary Krithe Mg:Ca ratios were analysed downcore using material from the Gakkel Ridge (water depths 3047 and 3899 m), the Lomonosov Ridge (water depth 1051 m) and the Amundsen Basin (water depth 4226 m) to test the core-top Mg:Ca temperature calibration. Cores from the Gakkel and Lomonosov ridges display a decrease in Mg:Ca ratios during the interval spanning the last glacial/deglacial transition and the Holocene, perhaps related to a decrease in bottom water temperatures or other changes in benthic environments.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20140008940&hterms=parkinson&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dparkinson','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20140008940&hterms=parkinson&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dparkinson"><span>On the 2012 Record Low <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cover: Combined Impact of Preconditioning and an August Storm</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.; Comiso, Josefino C.</p> <p>2013-01-01</p> <p>A new record low <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent for the satellite era, 3.4 x 10(exp 6) square kilometers, was reached on 13 September 2012; and a new record low <span class="hlt">sea</span> ice area, 3.01 x 10(exp 6) square kilometers was reached on the same date. Preconditioning through decades of overall ice reductions made the ice pack more vulnerable to a strong storm that entered the central <span class="hlt">Arctic</span> in early August 2012. The storm caused the separation of an expanse of 0.4 x 10(exp 6) square kilometers of ice that melted in total, while its removal left the main pack more exposed to wind and waves, facilitating the main pack's further decay. Future summer storms could lead to a further acceleration of the decline in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover and should be carefully monitored.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE44A1481H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE44A1481H"><span>Growth dynamics of Saffron cod (Eleginus gracilis) and <span class="hlt">Arctic</span> cod (Boreogadus saida) in the Northern Bering and Chukchi <span class="hlt">Seas</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Helser, T.; Anderl, D.</p> <p>2016-02-01</p> <p>Saffron cod (Eleginus gracilis) and <span class="hlt">Arctic</span> cod (Boreogadus saida) are two circumpolar gadids that serve as critically important species responsible for energy transfer in <span class="hlt">Arctic</span> food webs of the northern Bering and Chukchi <span class="hlt">Seas</span>. To understand the potential effects of <span class="hlt">sea</span> ice loss and warming temperatures on these species' basic life history, information such as growth is needed. Yet to date, limited effort has been dedicated to the study of their growth dynamics. Based on a large sample of otoliths collected in the first comprehensive ecosystem integrated survey in the northern Bering and Chukchi <span class="hlt">Seas</span>, procedures were developed to reliably estimate age from otolith microstructure and were used to study the growth dynamics of saffron and <span class="hlt">Arctic</span> cod. Saffron cod attained larger asymptotic sizes (L∞ = 363 mm) and achieved their maximum size at a faster rate (K = 0.378) than <span class="hlt">Arctic</span> cod (L∞ = 209 mm; K = 0.312). For both species, regional differences in growth were found (p<0.01). Saffron cod grew to a significantly larger size at age in the northern Bering <span class="hlt">Sea</span> when compared to the Chukchi <span class="hlt">Sea</span>, particularly at younger ages. <span class="hlt">Arctic</span> cod grew to smaller a asymptotic size but at faster rates in the more northerly central (L∞ = 197 mm; K = 0.324) and southern Chukchi <span class="hlt">Sea</span> (L∞ = 221 mm; K = 0.297) when compared to the northern Bering <span class="hlt">Sea</span> (L∞ = 266 mm; K = 0.171), suggesting a possible cline in growth rates with more northerly latitudes. A 30 year retrospective comparison of age data indicate that both species exhibited a decline is maximum size accompanied by higher instantaneous rates growth in more recent years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy...49.3693O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy...49.3693O"><span>Respective roles of direct GHG radiative forcing and induced <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss on the Northern Hemisphere atmospheric circulation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Oudar, Thomas; Sanchez-Gomez, Emilia; Chauvin, Fabrice; Cattiaux, Julien; Terray, Laurent; Cassou, Christophe</p> <p>2017-12-01</p> <p>The large-scale and synoptic-scale Northern Hemisphere atmospheric circulation responses to projected late twenty-first century <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice decline induced by increasing Greenhouse Gases (GHGs) concentrations are investigated using the CNRM-CM5 coupled model. An original protocol, based on a flux correction technique, allows isolating the respective roles of GHG direct radiative effect and induced <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss under RCP8.5 scenario. In winter, the surface atmospheric response clearly exhibits opposing effects between GHGs increase and <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss, leading to no significant pattern in the total response (particularly in the North Atlantic region). An analysis based on Eady growth rate shows that <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice loss drives the weakening in the low-level meridional temperature gradient, causing a general decrease of the baroclinicity in the mid and high latitudes, whereas the direct impact of GHGs increase is more located in the mid-to-high troposphere. Changes in the flow waviness, evaluated from sinuosity and blocking frequency metrics, are found to be small relative to inter-annual variability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA474361','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA474361"><span>Understanding Recent Variability in the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Cover -- Synthesis of Model Results and Observations</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2007-09-01</p> <p><span class="hlt">ARCTIC</span> <span class="hlt">SEA</span> ICE RESEARCH The effects of global warming on the <span class="hlt">Arctic</span> Ocean finally gained the American public’s full attention in early 2007 with the...<span class="hlt">Arctic</span> (Brass, 2002). The observed global warming trend is most pronounced in the higher latitudes due to an effect known as the snow/ice-albedo...due to increased melting thus exposing greater areas of lower albedo land and open water areas. The effect of global warming will result in a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29806697','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29806697"><span>The <span class="hlt">Arctic</span>'s <span class="hlt">sea</span> ice cover: trends, variability, predictability, and comparisons to the Antarctic.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Serreze, Mark C; Meier, Walter N</p> <p>2018-05-28</p> <p>As assessed over the period of satellite observations, October 1978 to present, there are downward linear trends in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent for all months, largest at the end of the melt season in September. The ice cover is also thinning. Downward trends in extent and thickness have been accompanied by pronounced interannual and multiyear variability, forced by both the atmosphere and ocean. As the ice thins, its response to atmospheric and oceanic forcing may be changing. In support of a busier <span class="hlt">Arctic</span>, there is a growing need to predict ice conditions on a variety of time and space scales. A major challenge to providing seasonal scale predictions is the 7-10 days limit of numerical weather prediction. While a seasonally ice-free <span class="hlt">Arctic</span> Ocean is likely well within this century, there is much uncertainty in the timing. This reflects differences in climate model structure, the unknown evolution of anthropogenic forcing, and natural climate variability. In sharp contrast to the <span class="hlt">Arctic</span>, Antarctic <span class="hlt">sea</span> ice extent, while highly variable, has increased slightly over the period of satellite observations. The reasons for this different behavior remain to be resolved, but responses to changing atmospheric circulation patterns appear to play a strong role. © 2018 New York Academy of Sciences.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2007PhDT........29K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2007PhDT........29K"><span><span class="hlt">Arctic</span> landfast <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Konig, Christof S.</p> <p></p> <p>Landfast ice is <span class="hlt">sea</span> ice which forms and remains fixed along a coast, where it is attached either to the shore, or held between shoals or grounded icebergs. Landfast ice fundamentally modifies the momentum exchange between atmosphere and ocean, as compared to pack ice. It thus affects the heat and freshwater exchange between air and ocean and impacts on the location of ocean upwelling and downwelling zones. Further, the landfast ice edge is essential for numerous <span class="hlt">Arctic</span> mammals and Inupiat who depend on them for their subsistence. The current generation of <span class="hlt">sea</span> ice models is not capable of reproducing certain aspects of landfast ice formation, maintenance, and disintegration even when the spatial resolution would be sufficient to resolve such features. In my work I develop a new ice model that permits the existence of landfast <span class="hlt">sea</span> ice even in the presence of offshore winds, as is observed in mature. Based on viscous-plastic as well as elastic-viscous-plastic ice dynamics I add tensile strength to the ice rheology and re-derive the equations as well as numerical methods to solve them. Through numerical experiments on simplified domains, the effects of those changes are demonstrated. It is found that the modifications enable landfast ice modeling, as desired. The elastic-viscous-plastic rheology leads to initial velocity fluctuations within the landfast ice that weaken the ice sheet and break it up much faster than theoretically predicted. Solving the viscous-plastic rheology using an implicit numerical method avoids those waves and comes much closer to theoretical predictions. Improvements in landfast ice modeling can only verified in comparison to observed data. I have extracted landfast <span class="hlt">sea</span> ice data of several decades from several sources to create a landfast <span class="hlt">sea</span> ice climatology that can be used for that purpose. Statistical analysis of the data shows several factors that significantly influence landfast ice distribution: distance from the coastline, ocean depth, as</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUOSHE34A1448P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUOSHE34A1448P"><span>Spatial and temporal scales of <span class="hlt">sea</span> ice protists and phytoplankton distribution from the gateway Fram Strait into the Central <span class="hlt">Arctic</span> Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Peeken, I.; Hardge, K.; Krumpen, T.; Metfies, K.; Nöthig, E. M.; Rabe, B.; von Appen, W. J.; Vernet, M.</p> <p>2016-02-01</p> <p>The <span class="hlt">Arctic</span> Ocean is currently one of the key regions where the effect of climate change is most pronounced. <span class="hlt">Sea</span> ice is an important interface in this region by representing a unique habitat for many organisms. Massive reduction of <span class="hlt">sea</span> ice thickness and extent, which have been recorded over the last twenty years, is anticipated to cause large cascading changes in the entire <span class="hlt">Arctic</span> ecosystem. Most <span class="hlt">sea</span> ice is formed on the Eurasian shelves and transported via the Transpolardrift to the western Fram Strait and out of the <span class="hlt">Arctic</span> Ocean with the cold East Greenland Current (EGC). Warm Atlantic water enters the <span class="hlt">Arctic</span> Ocean with the West Spitsbergen Current (WSC) via eastern Fram Strait. Here, we focus on the spatial spreading of protists from the Atlantic water masses, and their occurrences over the deep basins of the Central <span class="hlt">Arctic</span> and the relationship amongst them in water and <span class="hlt">sea</span> ice. Communities were analyzed by using pigments, flow cytometer and ARISA fingerprints during several cruises with the RV Polarstern to the Fram Strait, the Greenland <span class="hlt">Sea</span> and the Central <span class="hlt">Arctic</span> Ocean. By comparing these data sets we are able to demonstrate that the origin of the studied <span class="hlt">sea</span> ice floes is more important for the biodiversity found in the <span class="hlt">sea</span> ice communities then the respective underlying water mass. In contrast, biodiversity in the water column is mainly governed by the occurring water masses and the presence or absence of <span class="hlt">sea</span> ice. However, overall the development of standing stocks in both biomes was governed by the availability of nutrients. To get a temporal perspective of the recent results, the study will be embedded in a long-term data set of phytoplankton biomass obtained during several cruises over the last twenty years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRG..123..760L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRG..123..760L"><span>Linking the Modern Distribution of Biogenic Proxies in High <span class="hlt">Arctic</span> Greenland Shelf Sediments to <span class="hlt">Sea</span> Ice, Primary Production, and <span class="hlt">Arctic</span>-Atlantic Inflow</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Limoges, Audrey; Ribeiro, Sofia; Weckström, Kaarina; Heikkilä, Maija; Zamelczyk, Katarzyna; Andersen, Thorbjørn J.; Tallberg, Petra; Massé, Guillaume; Rysgaard, Søren; Nørgaard-Pedersen, Niels; Seidenkrantz, Marit-Solveig</p> <p>2018-03-01</p> <p>The eastern north coast of Greenland is considered to be highly sensitive to the ongoing <span class="hlt">Arctic</span> warming, but there is a general lack of data on modern conditions and in particular on the modern distribution of climate and environmental proxies to provide a baseline and context for studies on past variability. Here we present a detailed investigation of 11 biogenic proxies preserved in surface sediments from the remote High <span class="hlt">Arctic</span> Wandel <span class="hlt">Sea</span> shelf, the entrance to the Independence, Hagen, and Danmark fjords. The composition of organic matter (organic carbon, C:N ratios, δ13C, δ15N, biogenic silica, and IP25) and microfossil assemblages revealed an overall low primary production dominated by benthic diatoms, especially at the shallow sites. While the benthic and planktic foraminiferal assemblages underline the intrusion of chilled Atlantic waters into the deeper parts of the study area, the distribution of organic-walled dinoflagellate cysts is controlled by the local bathymetry and <span class="hlt">sea</span> ice conditions. The distribution of the dinoflagellate cyst Polarella glacialis matches that of seasonal <span class="hlt">sea</span> ice and the specific biomarker IP25, highlighting the potential of this species for paleo <span class="hlt">sea</span> ice studies. The information inferred from our multiproxy study has important implications for the interpretation of the biogenic-proxy signal preserved in sediments from circum-<span class="hlt">Arctic</span> fjords and shelf regions and can serve as a baseline for future studies. This is the first study of its kind in this area.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70010308','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70010308"><span>Aircraft measurements of microwave emission from <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Wilheit, T.; Nordberg, W.; Blinn, J.; Campbell, W.; Edgerton, A.</p> <p>1971-01-01</p> <p>Measurements of the microwave emission from <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice were made with aircraft at 8 wavelengths ranging from 0.510 to 2.81 cm. The expected contrast in emissivities between ice and water was observed at all wavelengths. Distributions of <span class="hlt">sea</span> ice and open water were mapped from altitudes up to 11 km in the presence of dense cloud cover. Different forms of ice also exhibited strong contrasts in emissivity. Emissivity differences of up to 0.2 were observed between two types of ice at the 0.811-cm wavelength. The higher emissivity ice type is tentatively identified as having been formed more recently than the lower emissivity ice. ?? 1971.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_23 --> <div id="page_24" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="461"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19720002627','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19720002627"><span>Aircraft measurements of microwave emission from <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wilheit, T. T.; Blinn, J.; Campbell, W. J.; Edgerton, A. T.; Nordberg, W.</p> <p>1971-01-01</p> <p>Measurements of the microwave emission from <span class="hlt">Arctic</span> <span class="hlt">Sea</span> ice were made with aircraft at 8 wavelengths ranging from 0.510 cm to 2.81 cm. The expected contrast in emissivities between ice and water was observed at all wavelengths. Distributions of <span class="hlt">sea</span> ice and open water were mapped from altitudes up to 11 km in the presence of dense cloud cover. Different forms of ice also exhibited strong contrasts in emissivity. Emissivity differences of up to 0.2 were observed between two types of ice at 0.811 cm wavelength. The higher emissivity ice type is tentatively identified as having been formed more recently than the lower emissivity ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017Ocgy...57..165P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017Ocgy...57..165P"><span>Spatial variability of concentrations of chlorophyll a, dissolved organic matter and suspended particles in the surface layer of the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in September 2011 from lidar data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pelevin, V. V.; Zavjalov, P. O.; Belyaev, N. A.; Konovalov, B. V.; Kravchishina, M. D.; Mosharov, S. A.</p> <p>2017-01-01</p> <p>The article presents results of underway remote laser sensing of the surface water layer in continuous automatic mode using the UFL-9 fluorescent lidar onboard the R/V Akademik Mstislav Keldysh during cruise 59 in the <span class="hlt">Kara</span> <span class="hlt">Sea</span> in 2011. The description of the lidar, the approach to interpreting seawater fluorescence data, and certain methodical aspects of instrument calibration and measurement are presented. Calibration of the lidar is based on laboratory analysis of water samples taken from the <span class="hlt">sea</span> surface during the cruise. Spatial distribution of chlorophyll a, total organic carbon and suspended matter concentrations in the upper quasi-homogeneous layer are mapped and the characteristic scales of the variability are estimated. Some dependencies between the patchiness of the upper water layer and the atmospheric forcing and freshwater runoff are shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.C23B0788M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.C23B0788M"><span><span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Basal Melt Onset Variability and Associated Ocean Surface Heating</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Merrick, R. A.; Hutchings, J. K.</p> <p>2015-12-01</p> <p>The interannual and regional variability in <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice melt has previously been characterized only in terms of surface melting. A focus on the variability in the onset of basal melt is additionally required to understand <span class="hlt">Arctic</span> melt patterns. Monitoring basal melt provides a glimpse into the importance of ocean heating to <span class="hlt">sea</span> ice melt. This warming is predominantly through seawater exposure due to lead opening and the associated solar warming at the ocean's surface. We present the temporal variability in basal melt onset observed by ice mass balance buoys throughout the <span class="hlt">Arctic</span> Ocean since 2003, providing a different perspective than the satellite microwave data used to measure the onset of surface melt. We found that melt onset varies greatly, even for buoys deployed within 100km of each other. Therefore large volumes of data are necessary to accurately estimate the variability of basal melt onset. Once the variability of basal melt onset has been identified, we can investigate how this range has been changing as a response to atmospheric and oceanic warming, changes in ice morphology as well as the intensification of the ice albedo feedback.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC11G1100R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC11G1100R"><span>The <span class="hlt">Arctic</span> Research Consortium of the United States (ARCUS): Connecting <span class="hlt">Arctic</span> Research</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rich, R. H.; Wiggins, H. V.; Creek, K. R.; Sheffield Guy, L.</p> <p>2015-12-01</p> <p>This presentation will highlight the recent activities of the <span class="hlt">Arctic</span> Research Consortium of the United States (ARCUS) to connect <span class="hlt">Arctic</span> research. ARCUS is a nonprofit membership organization of universities and institutions that have a substantial commitment to research in the <span class="hlt">Arctic</span>. ARCUS was formed in 1988 to serve as a forum for planning, facilitating, coordinating, and implementing interdisciplinary studies of the <span class="hlt">Arctic</span>; to act as a synthesizer and disseminator of scientific information on <span class="hlt">arctic</span> research; and to educate scientists and the general public about the needs and opportunities for research in the <span class="hlt">Arctic</span>. ARCUS, in collaboration with the broader science community, relevant agencies and organizations, and other stakeholders, coordinates science planning and educational activities across disciplinary and organizational boundaries. Examples of ARCUS projects include: <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Outlook - an international effort that provides monthly summer reports synthesizing community estimates of the expected <span class="hlt">sea</span> ice minimum. <span class="hlt">Sea</span> Ice for Walrus Outlook - a resource for Alaska Native subsistence hunters, coastal communities, and others that provides weekly reports with information on <span class="hlt">sea</span> ice conditions relevant to walrus in Alaska waters. PolarTREC (Teachers and Researchers Exploring and Collaborating) - a program whereby K-12 educators and researchers work together in hands-on field experiences in the <span class="hlt">Arctic</span> and Antarctic to advance polar science education. <span class="hlt">Arctic</span>Info mailing list, Witness the <span class="hlt">Arctic</span> newsletter, and the <span class="hlt">Arctic</span> Calendar - communication tools for the <span class="hlt">arctic</span> science community to keep apprised of relevant news, meetings, and announcements. Coordination for the Study of Environmental <span class="hlt">Arctic</span> Change (SEARCH) program, which aims to provide scientific understanding of <span class="hlt">arctic</span> environmental change to help society understand and respond to a rapidly changing <span class="hlt">Arctic</span>. More information about these and other ARCUS activities can be found at the ARCUS website at</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160007571&hterms=information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dinformation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160007571&hterms=information&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dinformation"><span>New Visualizations Highlight New Information on the Contrasting <span class="hlt">Arctic</span> and Antarctic <span class="hlt">Sea</span>-Ice Trends Since the Late 1970s</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Parkinson, Claire L.; DiGirolamo, Nicolo E.</p> <p>2016-01-01</p> <p>Month-by-month ranking of 37 years (1979-2015) of satellite-derived <span class="hlt">sea</span>-ice extents in the <span class="hlt">Arctic</span> and Antarctic reveals interesting new details in the overall trends toward decreasing <span class="hlt">sea</span>-ice coverage in the <span class="hlt">Arctic</span> and increasing <span class="hlt">sea</span>-ice coverage in the Antarctic. The <span class="hlt">Arctic</span> decreases are so definitive that there has not been a monthly record high in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extents in any month since 1986, a time period during which there have been 75 monthly record lows. The Antarctic, with the opposite but weaker trend toward increased ice extents, experienced monthly record lows in 5 months of 1986, then 6 later monthly record lows scattered through the dataset, with the last two occurring in 2006, versus 45 record highs since 1986. However, in the last three years of the 1979-2015 dataset, the downward trends in <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice extents eased up, with no new record lows in any month of 2013 or 2014 and only one record low in 2015,while the upward trends in Antarctic ice extents notably strengthened, with new record high ice extents in 4 months (August-November) of 2013, in 6 months (April- September) of 2014, and in 3 months (January, April, and May) of 2015. Globally, there have been only 3 monthly record highs since 1986 (only one since 1988), whereas there have been 43 record lows, although the last record lows (in the 1979-2015 dataset) occurred in 2012.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950040691&hterms=sea+ice+albedo&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsea%2Bice%2Balbedo','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950040691&hterms=sea+ice+albedo&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsea%2Bice%2Balbedo"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice albedo from AVHRR</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lindsay, R. W.; Rothrock, D. A.</p> <p>1994-01-01</p> <p>The seasonal cycle of surface albedo of <span class="hlt">sea</span> ice in the <span class="hlt">Arctic</span> is estimated from measurements made with the Advanced Very High Resolution Radiometer (AVHRR) on the polar-orbiting satellites NOAA-10 and NOAA-11. The albedos of 145 200-km-square cells are analyzed. The cells are from March through September 1989 and include only those for which the sun is more than 10 deg above the horizon. Cloud masking is performed manually. Corrections are applied for instrument calibration, nonisotropic reflection, atmospheric interference, narrowband to broadband conversion, and normalization to a common solar zenith angle. The estimated albedos are relative, with the instrument gain set to give an albedo of 0.80 for ice floes in March and April. The mean values for the cloud-free portions of individual cells range from 0.18 to 0.91. Monthly averages of cells in the central <span class="hlt">Arctic</span> range from 0.76 in April to 0.47 in August. The monthly averages of the within-cell standard deviations in the central <span class="hlt">Arctic</span> are 0.04 in April and 0.06 in September. The surface albedo and surface temperature are correlated most strongly in March (R = -0.77) with little correlation in the summer. The monthly average lead fraction is determined from the mean potential open water, a scaled representation of the temperature or albedo between 0.0 (for ice) and 1.0 (for water); in the central <span class="hlt">Arctic</span> it rises from an average 0.025 in the spring to 0.06 in September. Sparse data on aerosols, ozone, and water vapor in the atmospheric column contribute uncertainties to instantaneous, area-average albedos of 0.13, 0.04, and 0.08. Uncertainties in monthly average albedos are not this large. Contemporaneous estimation of these variables could reduce the uncertainty in the estimated albedo considerably. The poor calibration of AVHRR channels 1 and 2 is another large impediment to making accurate albedo estimates.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.C31B0645E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.C31B0645E"><span>Creating collaboration opportunities for marine research across the <span class="hlt">Arctic</span>: The SEARCH-ACCESS partnership and an emerging <span class="hlt">sea</span> ice prediction research network</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Eicken, H.; Bitz, C. M.; Gascard, J.; Kaminski, T.; Karcher, M. J.; Kauker, F.; Overland, J. E.; Stroeve, J. C.; Wiggins, H. V.</p> <p>2013-12-01</p> <p>Rapid <span class="hlt">Arctic</span> environmental and socio-economic change presents major challenges and opportunities to <span class="hlt">Arctic</span> residents, government agencies and the private sector. The <span class="hlt">Arctic</span> Ocean and its ice cover, in particular, are in the midst of transformative change, ranging from declines in <span class="hlt">sea</span>-ice thickness and summer ice extent to threats to coastal communities and increases in maritime traffic and offshore resource development. The US interagency Study of Environmental <span class="hlt">Arctic</span> Change (SEARCH) and the European <span class="hlt">Arctic</span> Climate Change, Economy and Society (ACCESS) project are addressing both scientific research needs and stakeholder information priorities to improve understanding and responses to <span class="hlt">Arctic</span> change. Capacity building, coordination and integration of activities at the international level and across sectors and stakeholder groups are major challenges that have to be met. ACCESS and SEARCH build on long-standing collaborations with a focus on environmental change in the <span class="hlt">Arctic</span> ocean-ice-atmosphere system and the most pressing research needs to inform marine policy, resource management and threats to <span class="hlt">Arctic</span> coastal communities. To illustrate the approach, key results and major conclusions from this international coordination and collaboration effort, we focus on a nascent <span class="hlt">sea</span>-ice prediction research network. This activity builds on the <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Outlook that was initiated by SEARCH and the European DAMOCLES project (a precursor to ACCESS) and has now grown into an international community of practice that synthesizes, evaluates and discusses <span class="hlt">sea</span>-ice predictions on seasonal to interannual scales. Key goals of the effort which is now entering into a new phase include the comparative evaluation of different prediction approaches, including the combination of different techniques, the compilation of reference datasets and model output, guidance on the design and implementation of observing system efforts to improve predictions and information transfer into private</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMPP51B1063A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMPP51B1063A"><span>Reconstructing Holocene Summer <span class="hlt">Sea</span>-Ice Conditions in the Central and Western <span class="hlt">Arctic</span> Ocean: Morphological Variations and Stable Isotope Composition of Neogloboquadrina pachyderma</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Asahi, H.; Nam, S. I.; Stein, R. H.; Mackensen, A.; Son, Y. J.</p> <p>2017-12-01</p> <p>The usability of planktic foraminiferal census data in <span class="hlt">Arctic</span> paleoceanography is limited by the predominance of Neogloboquadrina pachyderma (sinistral). Though a potential usability of their morphological variation has been suggested by recent studies, its application is restricted to the central part of the <span class="hlt">Arctic</span> Ocean. Here we present their regional distribution, using 80 surface sediment samples from the central and the western <span class="hlt">Arctic</span> Ocean. Among seven morphological variations encountered, distinct presence of "large-sized" N. pachyderma morphotypes at the summer <span class="hlt">sea</span>-ice edge in the western <span class="hlt">Arctic</span> demonstrates its strong potential as <span class="hlt">sea</span>-ice distribution indicator. Based on their regional patterns, we further developed planktic foraminifer (PF)-based transfer functions (TFs) to reconstruct summer surface-water temperature, salinity and <span class="hlt">sea</span>-ice concentration in the western and central <span class="hlt">Arctic</span>. The comparison of <span class="hlt">sea</span>-ice reconstructions by PF-based TF to other pre-existed approaches showed their recognizable advantages/disadvantages: the PF-based approach in the nearby/within heavily ice-covered region, the dinocyst-based approach in the extensively seasonal ice retreat region, and the IP25-based approach with overall reflection over a wide range of <span class="hlt">sea</span>-ice coverage, which is likely attributed to their (a) taphonomical information-loss, (b) different seasonal production patterns or combination of both. The application of these TFs on a sediment core from Northwind Ridge suggests general warming, freshening, and <span class="hlt">sea</span>-ice reduction after 6.0 ka. This generally agrees with PF stable isotope records and <span class="hlt">sea</span>-ice reconstructions from dinocyst-based TF at proximal locations, indicating that the <span class="hlt">sea</span>-ice behavior at the Northwind Ridge is notably different from the IP25-based <span class="hlt">sea</span>-ice reconstructions reported from elsewhere in the <span class="hlt">Arctic</span> Ocean. Lack of regional coverage of PF-based reconstructions hampers further discussion whether the observed inconsistency is simply</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..1514188K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..1514188K"><span><span class="hlt">Arctic</span> Warming and <span class="hlt">Sea</span> Ice Diminution Herald Changing Glacier and Cryospheric Hazard Regimes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kargel, Jeffrey; Bush, Andrew; Leonard, Gregory</p> <p>2013-04-01</p> <p>The recent expansion of summertime melt zones in both Greenland and some <span class="hlt">Arctic</span> ice caps, and the clearing of perennial <span class="hlt">sea</span> ice from much of the <span class="hlt">Arctic</span>, may presage more rapid shifts in mass balances of land ice than glaciologists had generally expected. The summer openings of vast stretches of open water in the <span class="hlt">Arctic</span>, particularly in straits and the <span class="hlt">Arctic</span> Ocean shores of the Queen Elizabeth Islands and along some Greenland coastal zones, must have a large impact on summer and early autumn temperatures and precipitation now that the surface boundary condition is no longer limited by the triple-point temperature and water-vapor pressure of H2O. This state change in the <span class="hlt">Arctic</span> probably is part of the explanation for the expanded melt zones high in the Greenland ice sheet. However, Greenland and the Canadian <span class="hlt">Arctic</span> are vast regions subject to climatic influences of multiple marine bodies, and the situation with <span class="hlt">sea</span> ice and climate change remains heterogeneous, and so the local climate feedbacks from <span class="hlt">sea</span> ice diminution remain patchy. Projected forward just a few decades, it is likely that <span class="hlt">sea</span> ice will play a significant role in the Queen Elizabeth Islands and around Greenland only in the winter months. The region is in the midst of a dramatic climate change that is affecting the mass balances of the <span class="hlt">Arctic</span>'s ice bodies; some polar-type glaciers must be transforming to polythermal, and polythermal ones to maritime-temperate types. Attendant with these shifts, glacier response times will shorten, the distribution and sizes of glacier lakes will change, unconsolidated debris will be debuttressed, and hazards-related dynamics will shift. Besides changes to outburst flood, debris flow, and rock avalanche occurrences, the tsunami hazard (with ice and debris landslide/avalanche triggers) in glacierized fjords and the surge behaviors of many glaciers is apt to increase or shift locations. For any given location, the past is no longer the key to the present, and the present</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/20020695-arctic-sea-ice-variability-context-recent-atmospheric-circulation-trends','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/20020695-arctic-sea-ice-variability-context-recent-atmospheric-circulation-trends"><span><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability in the context of recent atmospheric circulation trends</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Deser, C.; Walsh, J.E.; Timlin, M.S.</p> <p></p> <p><span class="hlt">Sea</span> ice is a sensitive component of the climate system, influenced by conditions in both the atmosphere and ocean. Variations in <span class="hlt">sea</span> ice may in turn modulate climate by altering the surface albedo; the exchange of heat, moisture, and momentum between the atmosphere and ocean; and the upper ocean stratification in areas of deep water formation. The surface albedo effect is considered to be one of the dominant factors in the poleward amplification of global warming due to increased greenhouse gas concentrations simulated in many climate models. Forty years (1958--97) of reanalysis products and corresponding <span class="hlt">sea</span> ice concentration data aremore » used to document <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability and its association with surface air temperature (SAT) and <span class="hlt">sea</span> level pressure (SLP) throughout the Northern Hemisphere extratropics. The dominant mode of winter (January-March) <span class="hlt">sea</span> ice variability exhibits out-of-phase fluctuations between the western and eastern North Atlantic, together with a weaker dipole in the North Pacific. The time series of this mode has a high winter-to-winter autocorrelation (0.69) and is dominated by decadal-scale variations and a longer-term trend of diminishing ice cover east of Greenland and increasing ice cover west of Greenland. Associated with the dominant pattern of winter <span class="hlt">sea</span> ice variability are large-scale changes in SAT and SLP that closely resemble the North Atlantic oscillation. The associated SAT and surface sensible and latent heat flux anomalies are largest over the portions of the marginal <span class="hlt">sea</span> ice zone in which the trends of ice coverage have been greatest, although the well-documented warming of the northern continental regions is also apparent. the temporal and spatial relationships between the SLP and ice anomaly fields are consistent with the notion that atmospheric circulation anomalies force the <span class="hlt">sea</span> ice variations. However, there appears to be a local response of the atmospheric circulation to the changing <span class="hlt">sea</span> ice variations. However</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.8576K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.8576K"><span>Geochemical interpretation of distribution of aromatic hydrocarbons in components of geologic environment of Pechora, Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span>.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kursheva, Anna; Petrova, Vera; Litvinenko, Ivan; Morgunova, Inna</p> <p>2017-04-01</p> <p>Information about the hydrocarbons content (including aromatic ones) in components of geologic environment allows to define common factors in distribution and correlation both nature and technogenic component, and also to reveal the sources of contamination. At that, it should be noted, that hydrocarbons are widely spread in lithosphere and create steady geochemical background, variations are caused here by specifics of initial organic matter, conditions of its accumulation and transformation. The basis of the study are the samples of <span class="hlt">sea</span> water and deep <span class="hlt">sea</span> sediments (more than 600 stations), collected in western sector of <span class="hlt">Arctic</span> region (Pechora, Barents and <span class="hlt">Kara</span> <span class="hlt">seas</span>) during the scientific-research expeditions of FSBI "VNIIOkeangeologia" for the period 2000-2010. Total content of aromatic hydrocarbons was defined by spectrofluorometric method using analyzer «FLUORAT-Panorama-02». Certification of data was performed on representative samples based on contents and molecule structure of polycyclic aromatic hydrocarbons using GC-MS (Agilent 5973/6850 GC-MS System). Results of spectrofluorometric analysis of lipid fraction of organic matter of bottom sediments allowed to define specific parameters, which characterize various lithofacies groups of sediments. Thus, sandy residues are characterized by low level of aromatic hydrocarbons (ca. 4.3 μg/g) with prevalence of bi- and tri-aromatic compounds (λmax 270-310 nm). This correlates with low sorption capacity of coarse-grained sediments and absence of organic-mineral component, containing the breakdown products of initial organic matter. Tetra- and penta- aromatic structures prevail in clay sediments (ca. 13.0 μg/g), which are typical components of lipid fraction of organic matter of post sedimentation and early diagenetic stages of transformation. At that, changes of spectral characteristic of sediments in stratigraphic sequence completely reflect processes of diagenetic transformation of organic matter, including</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRC..123.2422L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRC..123.2422L"><span>Seasonal and Interannual Variations of <span class="hlt">Sea</span> Ice Mass Balance From the Central <span class="hlt">Arctic</span> to the Greenland <span class="hlt">Sea</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lei, Ruibo; Cheng, Bin; Heil, Petra; Vihma, Timo; Wang, Jia; Ji, Qing; Zhang, Zhanhai</p> <p>2018-04-01</p> <p>The seasonal evolution of <span class="hlt">sea</span> ice mass balance between the Central <span class="hlt">Arctic</span> and Fram Strait, as well as the underlying driving forces, remain largely unknown because of a lack of observations. In this study, two and three buoys were deployed in the Central <span class="hlt">Arctic</span> during the summers of 2010 and 2012, respectively. It was established that basal ice growth commenced between mid-October and early December. Annual basal ice growth, ranging from 0.21 to 1.14 m, was determined mainly by initial ice thickness, air temperature, and oceanic heat flux during winter. An analytic thermodynamic model indicated that climate warming reduces the winter growth rate of thin ice more than for thick ice because of the weak thermal inertia of the former. Oceanic heat flux during the freezing season was 2-4 W m-2, which accounted for 18-31% of the basal ice energy balance. We identified two mechanisms that modified the oceanic heat flux, i.e., solar energy absorbed by the upper ocean during summer, and interaction with warm waters south of Fram Strait; the latter resulted in basal ice melt, even in winter. In summer 2010, ice loss in the Central <span class="hlt">Arctic</span> was considerable, which led to increased oceanic heat flux into winter and delayed ice growth. The Transpolar Drift Stream was relatively weak in summer 2013. This reduced <span class="hlt">sea</span> ice advection out of the <span class="hlt">Arctic</span> Ocean, and it restrained ice melt because of the cool atmospheric conditions, weakened albedo feedback, and relatively small oceanic heat flux in the north.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.C33B1201H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.C33B1201H"><span>The Impact of Moisture Intrusions from Lower Latitudes on <span class="hlt">Arctic</span> Net Surface Radiative Fluxes and <span class="hlt">Sea</span> Ice Growth in Fall and Winter</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hegyi, B. M.; Taylor, P. C.</p> <p>2017-12-01</p> <p>The fall and winter seasons mark an important period in the evolution of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, where energy is transferred away from the surface to facilitate the cooling of the surface and the growth of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice extent and thickness. Climatologically, these seasons are characterized by distinct periods of increased and reduced surface cooling and <span class="hlt">sea</span> ice growth. Periods of reduced <span class="hlt">sea</span> ice growth and surface cooling are associated with cloudy conditions and the transport of warm and moist air from lower latitudes, termed moisture intrusions. In the research presented, we explore the regional and <span class="hlt">Arctic</span>-wide impact of moisture intrusions on the surface net radiative fluxes and <span class="hlt">sea</span> ice growth for each fall and winter season from 2000/01-2015/16, utilizing MERRA2 reanalysis data, PIOMAS <span class="hlt">sea</span> ice thickness data, and daily CERES radiative flux data. Consistent with previous studies, we find that positive anomalies in downwelling longwave surface flux are associated with increased temperature and water vapor content in the atmospheric column contained within the moisture intrusions. Interestingly, there are periods of increased downwelling LW flux anomalies that persist for one week or longer (i.e. longer than synoptic timescales) that are associated with persistent poleward flux of warm, moist air from lower latitudes. These persistent anomalies significantly reduce the regional growth of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, and may in part explain the interannual variability of fall and winter <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice growth.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..17.1762A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..17.1762A"><span>Global warming related transient albedo feedback in the <span class="hlt">Arctic</span> and its relation to the seasonality of <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Andry, Olivier; Bintanja, Richard; Hazeleger, Wilco</p> <p>2015-04-01</p> <p>The <span class="hlt">Arctic</span> is warming two to three times faster than the global average. <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover is very sensitive to this warming and has reached historic minima in late summer in recent years (i.e. 2007, 2012). Considering that the <span class="hlt">Arctic</span> Ocean is mainly ice-covered and that the albedo of <span class="hlt">sea</span> ice is very high compared to that of open water, the change in <span class="hlt">sea</span> ice cover is very likely to have a strong impact on the local surface albedo feedback. Here we quantify the temporal changes in surface albedo feedback in response to global warming. Usually feedbacks are evaluated as being representative and constant for long time periods, but we show here that the strength of climate feedbacks in fact varies strongly with time. For instance, time series of the amplitude of the surface albedo feedback, derived from future climate simulations (CIMP5, RCP8.5 up to year 2300) using a kernel method, peaks around the year 2100. This maximum is likely caused by an increased seasonality in <span class="hlt">sea</span>-ice cover that is inherently associated with <span class="hlt">sea</span> ice retreat. We demonstrate that the <span class="hlt">Arctic</span> average surface albedo has a strong seasonal signature with a maximum in spring and a minimum in late summer/autumn. In winter when incoming solar radiation is minimal the surface albedo doesn't have an important effect on the energy balance of the climate system. The annual mean surface albedo is thus determined by the seasonality of both downwelling shortwave radiation and <span class="hlt">sea</span> ice cover. As <span class="hlt">sea</span> ice cover reduces the seasonal signature is modified, the transient part from maximum <span class="hlt">sea</span> ice cover to its minimum is shortened and sharpened. The <span class="hlt">sea</span> ice cover is reduced when downwelling shortwave radiation is maximum and thus the annual surface albedo is drastically smaller. Consequently the change in annual surface albedo with time will become larger and so will the surface albedo feedback. We conclude that a stronger seasonality in <span class="hlt">sea</span> ice leads to a stronger surface albedo feedback, which accelerates</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017DSRII.135...66H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017DSRII.135...66H"><span>Growth dynamics of saffron cod (Eleginus gracilis) and <span class="hlt">Arctic</span> cod (Boreogadus saida) in the Northern Bering and Chukchi <span class="hlt">Seas</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Helser, Thomas E.; Colman, Jamie R.; Anderl, Delsa M.; Kastelle, Craig R.</p> <p>2017-01-01</p> <p>Saffron cod (Eleginus gracilis) and <span class="hlt">Arctic</span> cod (Boreogadus saida) are two circumpolar gadids that serve as critically important species responsible for energy transfer in <span class="hlt">Arctic</span> food webs of the northern Bering and Chukchi <span class="hlt">Seas</span>. To understand the potential effects of <span class="hlt">sea</span> ice loss and warming temperatures on these species' basic life history, information such as growth is needed. Yet to date, limited effort has been dedicated to the study of their growth dynamics. Based on a large sample of otoliths collected in the first comprehensive ecosystem integrated survey in the northern Bering and Chukchi <span class="hlt">Seas</span>, procedures were developed to reliably estimate age from otolith growth zones and were used to study the growth dynamics of saffron and <span class="hlt">Arctic</span> cod. Annual growth zone assignment was validated using oxygen isotope signatures in otoliths and otolith morphology analyzed and compared between species. Saffron cod attained larger asymptotic sizes (L∞=363 mm) and achieved their maximum size at a faster rate (K=0.378) than <span class="hlt">Arctic</span> cod (L∞=209 mm; K=0.312). For both species, regional differences in growth were found (p<0.01). Saffron cod grew to a significantly larger size at age in the northern Bering <span class="hlt">Sea</span> when compared to the Chukchi <span class="hlt">Sea</span>, particularly at younger ages. <span class="hlt">Arctic</span> cod grew to smaller asymptotic size but at faster rates in the more northerly central (L∞=197 mm;K=0.324) and southern Chukchi <span class="hlt">Sea</span> (L∞=221 mm;K=0.297) when compared to the northern Bering <span class="hlt">Sea</span> (L∞=266 mm;K=0.171), suggesting a possible cline in growth rates with more northerly latitudes. Comparison of growth to two periods separated by 30 years indicate that both species exhibited a decline in maximum size accompanied by higher instantaneous growth rates in more recent years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040171250','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040171250"><span>ICESat Observations of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice: A First Look</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kwok, Ron; Zwally, H. Jay; Yi, Dong-Hui</p> <p>2004-01-01</p> <p>Analysis of near-coincident ICESat and RADARSAT imagery shows that the retrieved elevations from the laser altimeter are sensitive to new openings (containing thin ice or open water) in the <span class="hlt">sea</span> ice cover as well as to surface relief of old and first-year ice. The precision of the elevation estimates, measured over relatively flat <span class="hlt">sea</span> ice, is approx. 2 cm Using the thickness of thin-ice in recent openings to estimate <span class="hlt">sea</span> level references, we obtain the <span class="hlt">sea</span>-ice free-board along the altimeter tracks. This step is necessitated by the large uncertainties in the time-varying <span class="hlt">sea</span> surface topography compared to that required for accurate determination of free-board. Unknown snow depth introduces the largest uncertainty in the conversion of free-board to ice thickness. Surface roughness is also derived, for the first time, from the variability of successive elevation estimates along the altimeter track Overall, these ICESat measurements provide an unprecedented view of the <span class="hlt">Arctic</span> Ocean ice cover at length scales at and above the spatial dimension of the altimeter footprint.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140017663','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140017663"><span>An AeroCom Assessment of Black Carbon in <span class="hlt">Arctic</span> Snow and <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jiao, C.; Flanner, M. G.; Balkanski, Y.; Bauer, S. E.; Bellouin, N.; Bernsten, T. K.; Bian, H.; Carslaw, K. S.; Chin, M.; DeLuca, N.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140017663'); toggleEditAbsImage('author_20140017663_show'); toggleEditAbsImage('author_20140017663_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140017663_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140017663_hide"></p> <p>2014-01-01</p> <p>Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and <span class="hlt">sea</span> ice. Here, we apply aerosol deposition fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the <span class="hlt">Arctic</span>. We accomplish this by driving the offline land and <span class="hlt">sea</span> ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during which an extensive field campaign of BC measurements in <span class="hlt">Arctic</span> snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the <span class="hlt">Arctic</span>. Although simulated BC distributions in snow are poorly correlated with measurements, mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are -4.4 (-13.2 to +10.7) ng/g for an earlier phase of AeroCom models (phase I), and +4.1 (-13.0 to +21.4) ng/g for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng/g. Factors determining model BC concentrations in <span class="hlt">Arctic</span> snow include <span class="hlt">Arctic</span> BC emissions, transport of extra-<span class="hlt">Arctic</span> aerosols, precipitation, deposition efficiency of aerosols within the <span class="hlt">Arctic</span>, and meltwater removal of particles in snow. Sensitivity studies show that the model-measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The <span class="hlt">Arctic</span> (60-90degN) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, implying large inter-model variation in local BC deposition efficiency. Combined with the fact that most <span class="hlt">Arctic</span> BC deposition originates</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1124032-aerocom-assessment-black-carbon-arctic-snow-sea-ice','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1124032-aerocom-assessment-black-carbon-arctic-snow-sea-ice"><span>An AeroCom assessment of black carbon in <span class="hlt">Arctic</span> snow and <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Jiao, C.; Flanner, M. G.; Balkanski, Y.</p> <p>2014-01-01</p> <p>Though many global aerosols models prognose surface deposition, only a few models have been used to directly simulate the radiative effect from black carbon (BC) deposition to snow and <span class="hlt">sea</span> ice. In this paper, we apply aerosol deposition fields from 25 models contributing to two phases of the Aerosol Comparisons between Observations and Models (AeroCom) project to simulate and evaluate within-snow BC concentrations and radiative effect in the <span class="hlt">Arctic</span>. We accomplish this by driving the offline land and <span class="hlt">sea</span> ice components of the Community Earth System Model with different deposition fields and meteorological conditions from 2004 to 2009, during whichmore » an extensive field campaign of BC measurements in <span class="hlt">Arctic</span> snow occurred. We find that models generally underestimate BC concentrations in snow in northern Russia and Norway, while overestimating BC amounts elsewhere in the <span class="hlt">Arctic</span>. Although simulated BC distributions in snow are poorly correlated with measurements, mean values are reasonable. The multi-model mean (range) bias in BC concentrations, sampled over the same grid cells, snow depths, and months of measurements, are -4.4 (-13.2 to +10.7) ng g -1 for an earlier phase of AeroCom models (phase I), and +4.1 (-13.0 to +21.4) ng g -1 for a more recent phase of AeroCom models (phase II), compared to the observational mean of 19.2 ng g -1. Factors determining model BC concentrations in <span class="hlt">Arctic</span> snow include <span class="hlt">Arctic</span> BC emissions, transport of extra-<span class="hlt">Arctic</span> aerosols, precipitation, deposition efficiency of aerosols within the <span class="hlt">Arctic</span>, and meltwater removal of particles in snow. Sensitivity studies show that the model–measurement evaluation is only weakly affected by meltwater scavenging efficiency because most measurements were conducted in non-melting snow. The <span class="hlt">Arctic</span> (60–90° N) atmospheric residence time for BC in phase II models ranges from 3.7 to 23.2 days, implying large inter-model variation in local BC deposition efficiency. Combined with the fact that most</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFM.C51A0542R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFM.C51A0542R"><span>The Increase of the Ice-free Season as Further Indication of the Rapid Decline of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rodrigues, J.</p> <p>2008-12-01</p> <p>The unprecedented depletion of <span class="hlt">sea</span> ice in large sectors of the <span class="hlt">Arctic</span> Ocean in the summer of 2007 has been the subject of many publications which highlight the spectacular disappearance of the <span class="hlt">sea</span> ice at the time of minimum ice cover or emphasise the losses at very high latitudes. However, minimum values can be strongly affected by specific circumstances occurring in a comparatively short time interval. The unusually clear skies and the presence of a particular wind pattern over the <span class="hlt">Arctic</span> Ocean may partly explain the record minimum attained in September 2007. In this contribution, instead of limiting ourselves to the September minimum or the March maximum, we consider the ice conditions throughout the year, opting for a less used, and hopefully more convenient approach. We chose as variables to describe the evolution of the <span class="hlt">sea</span> ice situation in the <span class="hlt">Arctic</span> Ocean and peripheral <span class="hlt">seas</span> in the 1979-2007 period the length of the ice- free season (LIFS) and the inverse <span class="hlt">sea</span> ice index (ISII). The latter is a quantity that measures the degree of absence of <span class="hlt">sea</span> ice in a year and varies between zero (when there is a perennial ice cover) and one (when there is open water all year round). We used <span class="hlt">sea</span> ice concentration data obtained from passive microwave satellite imagery and processed with the Bootstrap algorithm for the SMMR and SSM/I periods, and with the Enhanced NASA Team algorithm for the AMSR-E period. From a linear fit of the observed data, we found that the average LIFS in the <span class="hlt">Arctic</span> went from 118 days in the late 1970s to 148 days in 2006, which represents an average rate of increase of 1.1 days/year. In the period 2001-2007 the LIFS increased monotonically at an average rate of 5.5 days/year, in good agreement with the general consensus that the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is currently in an accelerated decline. We also found that 2007 was the longest ice- free season on record (168 days). The ISII also reached a maximum in 2007 . We also investigated what happened at the regional</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25437762','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25437762"><span>The delivery of organic contaminants to the <span class="hlt">Arctic</span> food web: why <span class="hlt">sea</span> ice matters.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Pućko, Monika; Stern, Gary A; Macdonald, Robie W; Jantunen, Liisa M; Bidleman, Terry F; Wong, Fiona; Barber, David G; Rysgaard, Søren</p> <p>2015-02-15</p> <p>For decades <span class="hlt">sea</span> ice has been perceived as a physical barrier for the loading of contaminants to the <span class="hlt">Arctic</span> Ocean. We show that <span class="hlt">sea</span> ice, in fact, facilitates the delivery of organic contaminants to the <span class="hlt">Arctic</span> marine food web through processes that: 1) are independent of contaminant physical-chemical properties (e.g. 2-3-fold increase in exposure to brine-associated biota), and 2) depend on physical-chemical properties and, therefore, differentiate between contaminants (e.g. atmospheric loading of contaminants to melt ponds over the summer, and their subsequent leakage to the ocean). We estimate the concentrations of legacy organochlorine pesticides (OCPs) and current-use pesticides (CUPs) in melt pond water in the Beaufort <span class="hlt">Sea</span>, Canadian High <span class="hlt">Arctic</span>, in 2008, at near-gas exchange equilibrium based on Henry's law constants (HLCs), air concentrations and exchange dynamics. CUPs currently present the highest risk of increased exposures through melt pond loading and drainage due to the high ratio of melt pond water to seawater concentration (Melt pond Enrichment Factor, MEF), which ranges from 2 for dacthal to 10 for endosulfan I. Melt pond contaminant enrichment can be perceived as a hypothetical 'pump' delivering contaminants from the atmosphere to the ocean under ice-covered conditions, with 2-10% of CUPs annually entering the Beaufort <span class="hlt">Sea</span> via this input route compared to the standing stock in the Polar Mixed Layer of the ocean. The abovementioned processes are strongly favored in first-year ice compared to multi-year ice and, therefore, the dynamic balance between contaminant inventories and contaminant deposition to the surface ocean is being widely affected by the large-scale icescape transition taking place in the <span class="hlt">Arctic</span>. Copyright © 2014 Elsevier B.V. All rights reserved.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_24 --> <div id="page_25" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="481"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/18643135','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/18643135"><span>Intermittency of principal stress directions within <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Weiss, Jérôme</p> <p>2008-05-01</p> <p>The brittle deformation of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice is not only characterized by strong spatial heterogeneity as well as intermittency of stress and strain-rate amplitudes, but also by an intermittency of principal stress directions, with power law statistics of angular fluctuations, long-range correlations in time, and multifractal scaling. This intermittency is much more pronounced than that of wind directions, i.e., is not a direct inheritance of the turbulent forcing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006PrOce..71..331G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006PrOce..71..331G"><span>Ecosystem dynamics of the Pacific-influenced Northern Bering and Chukchi <span class="hlt">Seas</span> in the Amerasian <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Grebmeier, Jacqueline M.; Cooper, Lee W.; Feder, Howard M.; Sirenko, Boris I.</p> <p>2006-10-01</p> <p>The shallow continental shelves and slope of the Amerasian <span class="hlt">Arctic</span> are strongly influenced by nutrient-rich Pacific waters advected over the shelves from the northern Bering <span class="hlt">Sea</span> into the <span class="hlt">Arctic</span> Ocean. These high-latitude shelf systems are highly productive both as the ice melts and during the open-water period. The duration and extent of seasonal <span class="hlt">sea</span> ice, seawater temperature and water mass structure are critical controls on water column production, organic carbon cycling and pelagic-benthic coupling. Short food chains and shallow depths are characteristic of high productivity areas in this region, so changes in lower trophic levels can impact higher trophic organisms rapidly, including pelagic- and benthic-feeding marine mammals and seabirds. Subsistence harvesting of many of these animals is locally important for human consumption. The vulnerability of the ecosystem to environmental change is thought to be high, particularly as <span class="hlt">sea</span> ice extent declines and seawater warms. In this review, we focus on ecosystem dynamics in the northern Bering and Chukchi <span class="hlt">Seas</span>, with a more limited discussion of the adjoining Pacific-influenced eastern section of the East Siberian <span class="hlt">Sea</span> and the western section of the Beaufort <span class="hlt">Sea</span>. Both primary and secondary production are enhanced in specific regions that we discuss here, with the northern Bering and Chukchi <span class="hlt">Seas</span> sustaining some of the highest water column production and benthic faunal soft-bottom biomass in the world ocean. In addition, these organic carbon-rich Pacific waters are periodically advected into low productivity regions of the nearshore northern Bering, Chukchi and Beaufort <span class="hlt">Seas</span> off Alaska and sometimes into the East Siberian <span class="hlt">Sea</span>, all of which have lower productivity on an annual basis. Thus, these near shore areas are intimately tied to nutrients and advected particulate organic carbon from the Pacific influenced Bering Shelf-Anadyr water. Given the short food chains and dependence of many apex predators on <span class="hlt">sea</span> ice, recent</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/of/2011/1246/OFR2011-1246.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/of/2011/1246/OFR2011-1246.pdf"><span>Moderate-resolution <span class="hlt">sea</span> surface temperature data and seasonal pattern analysis for the <span class="hlt">Arctic</span> Ocean ecoregions</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Payne, Meredith C.; Reusser, Deborah A.; Lee, Henry</p> <p>2012-01-01</p> <p><span class="hlt">Sea</span> surface temperature (SST) is an important environmental characteristic in determining the suitability and sustainability of habitats for marine organisms. In particular, the fate of the <span class="hlt">Arctic</span> Ocean, which provides critical habitat to commercially important fish, is in question. This poses an intriguing problem for future research of <span class="hlt">Arctic</span> environments - one that will require examination of long-term SST records. This publication describes and provides access to an easy-to-use <span class="hlt">Arctic</span> SST dataset for ecologists, biogeographers, oceanographers, and other scientists conducting research on habitats and/or processes in the <span class="hlt">Arctic</span> Ocean. The data cover the <span class="hlt">Arctic</span> ecoregions as defined by the "Marine Ecoregions of the World" (MEOW) biogeographic schema developed by The Nature Conservancy as well as the region to the north from approximately 46°N to about 88°N (constrained by the season and data coverage). The data span a 29-year period from September 1981 to December 2009. These SST data were derived from Advanced Very High Resolution Radiometer (AVHRR) instrument measurements that had been compiled into monthly means at 4-kilometer grid cell spatial resolution. The processed data files are available in ArcGIS geospatial datasets (raster and point shapefiles) and also are provided in text (.csv) format. All data except the raster files include attributes identifying latitude/longitude coordinates, and realm, province, and ecoregion as defined by the MEOW classification schema. A seasonal analysis of these <span class="hlt">Arctic</span> ecoregions reveals a wide range of SSTs experienced throughout the <span class="hlt">Arctic</span>, both over the course of an annual cycle and within each month of that cycle. <span class="hlt">Sea</span> ice distribution plays a major role in SST regulation in all <span class="hlt">Arctic</span> ecoregions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.C41B0699A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.C41B0699A"><span>Impact of weather events on <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice albedo evolution</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arntsen, A. E.; Perovich, D. K.; Polashenski, C.; Stwertka, C.</p> <p>2015-12-01</p> <p><span class="hlt">Arctic</span> <span class="hlt">sea</span> ice undergoes a seasonal evolution from cold snow-covered ice to melting snow to bare ice with melt ponds. Associated with this physical evolution is a decrease in the albedo of the ice cover. While the change in albedo is often considered as a steady seasonal decrease, weather events during melt, such as rain or snow, can impact the albedo evolution. Measurements on first year ice in the Chukchi <span class="hlt">Sea</span> showed a decrease in visible albedo to 0.77 during the onset of melt. New snow from 4 - 6 June halted melting and increased the visible albedo to 0.87. It took 12 days for the albedo to decrease to levels prior to the snowfall. Incident solar radiation is large in June and thus a change in albedo has a large impact on the surface heat budget. The snowfall increased the albedo by 0.1 and reduced the absorbed sunlight from 5 June to 17 June by approximately 32 MJ m-2. The total impact of the snowfall will be even greater, since the delay in albedo reduction will be propagated throughout the entire summer. A rain event would have the opposite impact, increasing solar heat input and accelerating melting. Snow or rain in May or June can impact the summer melt cycle of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC11G1087P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC11G1087P"><span>White <span class="hlt">Arctic</span> vs. Blue <span class="hlt">Arctic</span>: Making Choices</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pfirman, S. L.; Newton, R.; Schlosser, P.; Pomerance, R.; Tremblay, B.; Murray, M. S.; Gerrard, M.</p> <p>2015-12-01</p> <p>As the <span class="hlt">Arctic</span> warms and shifts from icy white to watery blue and resource-rich, tension is arising between the desire to restore and sustain an ice-covered <span class="hlt">Arctic</span> and stakeholder communities that hope to benefit from an open <span class="hlt">Arctic</span> Ocean. If emissions of greenhouse gases to the atmosphere continue on their present trend, most of the summer <span class="hlt">sea</span> ice cover is projected to be gone by mid-century, i.e., by the time that few if any interventions could be in place to restore it. There are many local as well as global reasons for ice restoration, including for example, preserving the <span class="hlt">Arctic</span>'s reflectivity, sustaining critical habitat, and maintaining cultural traditions. However, due to challenges in implementing interventions, it may take decades before summer <span class="hlt">sea</span> ice would begin to return. This means that future generations would be faced with bringing <span class="hlt">sea</span> ice back into regions where they have not experienced it before. While there is likely to be interest in taking action to restore ice for the local, regional, and global services it provides, there is also interest in the economic advancement that open access brings. Dealing with these emerging issues and new combinations of stakeholders needs new approaches - yet environmental change in the <span class="hlt">Arctic</span> is proceeding quickly and will force the issues sooner rather than later. In this contribution we examine challenges, opportunities, and responsibilities related to exploring options for restoring <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice and potential pathways for their implementation. Negotiating responses involves international strategic considerations including security and governance, meaning that along with local communities, state decision-makers, and commercial interests, national governments will have to play central roles. While these issues are currently playing out in the <span class="hlt">Arctic</span>, similar tensions are also emerging in other regions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.1693S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.1693S"><span><span class="hlt">Sea</span> surface salinity of the Eocene <span class="hlt">Arctic</span> Azolla event using innovative isotope modeling</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Speelman, E. N.; Sewall, J. O.; Noone, D.; Huber, M.; Sinninghe Damste, J. S.; Reichart, G. J.</p> <p>2009-04-01</p> <p>With the realization that the Eocene <span class="hlt">Arctic</span> Ocean was covered with enormous quantities of the free floating freshwater fern Azolla, new questions regarding Eocene conditions facilitating these blooms arose. Our present research focuses on constraining the actual salinity of, and water sources for, the Eocene <span class="hlt">Arctic</span> basin through the application of stable water isotope tracers. Precipitation pathways potentially strongly affect the final isotopic composition of water entering the <span class="hlt">Arctic</span> Basin. Therefore we use the Community Atmosphere Model (CAM3), developed by NCAR, combined with a recently developed integrated isotope tracer code to reconstruct the isotopic composition of global Eocene precipitation and run-off patterns. We further addressed the sensitivity of the modeled hydrological cycle to changes in boundary conditions, such as pCO2, <span class="hlt">sea</span> surface temperatures (SSTs) and <span class="hlt">sea</span> ice formation. In this way it is possible to assess the effect of uncertainties in proxy estimates of these parameters. Overall, results of all runs with Eocene boundary conditions, including Eocene topography, bathymetry, vegetation patterns, TEX86 derived SSTs and pCO2 estimates, show the presence of an intensified hydrological cycle with precipitation exceeding evaporation in the <span class="hlt">Arctic</span> region. Enriched, precipitation weighted, isotopic values of around -120‰ are reported for the <span class="hlt">Arctic</span> region. Combining new results obtained from compound specific isotope analyses (δD) on terrestrially derived n-alkanes extracted from Eocene sediments, and model outcomes make it possible to verify climate reconstructions for the middle Eocene <span class="hlt">Arctic</span>. Furthermore, recently, characteristic long-chain mid-chain ω20 hydroxy wax constituents of Azolla were found in ACEX sediments. δD values of these C32 - C36 diols provide insight into the isotopic composition of the Eocene <span class="hlt">Arctic</span> surface water. As the isotopic signature of the runoff entering the <span class="hlt">Arctic</span> is modelled, and the final isotopic composition of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C13E..04H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C13E..04H"><span>Towards decadal time series of <span class="hlt">Arctic</span> and Antarctic <span class="hlt">sea</span> ice thickness from radar altimetry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hendricks, S.; Rinne, E. J.; Paul, S.; Ricker, R.; Skourup, H.; Kern, S.; Sandven, S.</p> <p>2016-12-01</p> <p>The CryoSat-2 mission has demonstrated the value of radar altimetry to assess the interannual variability and short-term trends of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice over the existing observational record of 6 winter seasons. CryoSat-2 is a particular successful mission for <span class="hlt">sea</span> ice mass balance assessment due to its novel radar altimeter concept and orbit configuration, but radar altimetry data is available since 1993 from the ERS-1/2 and Envisat missions. Combining these datasets promises a decadal climate data record of <span class="hlt">sea</span> ice thickness, but inter-mission biases must be taken into account due to the evolution of radar altimeters and the impact of changing <span class="hlt">sea</span> ice conditions on retrieval algorithm parametrizations. The ESA Climate Change Initiative on <span class="hlt">Sea</span> Ice aims to extent the list of data records for Essential Climate Variables (ECV's) with a consistent time series of <span class="hlt">sea</span> ice thickness from available radar altimeter data. We report on the progress of the algorithm development and choices for auxiliary data sets for <span class="hlt">sea</span> ice thickness retrieval in the <span class="hlt">Arctic</span> and Antarctic Oceans. Particular challenges are the classification of surface types and freeboard retrieval based on radar waveforms with significantly varying footprint sizes. In addition, auxiliary data sets, e.g. for snow depth, are far less developed in the Antarctic and we will discuss the expected skill of the <span class="hlt">sea</span> ice thickness ECV's in both hemispheres.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1918654J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1918654J"><span>The possibility of a tipping point in the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover, and associated early-warning signals</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jastamin Steene, Rebekka</p> <p>2017-04-01</p> <p>As the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice has become one of the primer indicators of global climate change, with a seemingly accelerated loss in both ice extent and volume the latest decades, the existence of a tipping point related to the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has been widely debated. Several observed and potential abrupt transitions in the climate system may be interpreted as bifurcations in randomly driven dynamical systems. This means that a system approaching a bifurcation point shifts from one stable state to another, and we say that the system is subject to a critical transition. As the equilibrium states become unstable in the vicinity of a bifurcation point the characteristic relaxation times increases, and the system is said to experience a "critical slowing down". This makes it plausible to observe so called early-warning signals (EWS) when approaching a critical transition. In the <span class="hlt">Arctic</span> non-linear mechanisms like the temperature response of the ice-albedo feedback can potentially cause a sudden shift to an ice-free <span class="hlt">Arctic</span> Ocean. Using bifurcation theory and potential analyses we examine time series of observational data of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice, investigating the possibility of multiple states in the behavior of the ice cover. We further debate whether a shift between states is irreversible, and whether it can be preluded by early-warning signals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018PolSc..16...86L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018PolSc..16...86L"><span>First record of the larvae of tanner crab Chionoecetes bairdi in the Chukchi <span class="hlt">Sea</span>: A future northward expansion in the <span class="hlt">Arctic</span>?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Landeira, Jose M.; Matsuno, Kohei; Tanaka, Yuji; Yamaguchi, Atsushi</p> <p>2018-06-01</p> <p>In the Bering <span class="hlt">Sea</span>, warming and reduction of summer <span class="hlt">sea</span>-ice cover are driving species ranges towards the <span class="hlt">Arctic</span>. Tanner crab, Chionoecetes bairdi, is a commercially important species in the SE Bering <span class="hlt">Sea</span> with a northerly range margin in 62ºN. In this paper, using plankton samples collected in the Pacific sub-<span class="hlt">Arctic/Arctic</span> sector during summer, we report for the first time the presence of larval stages (zoea II) of C. bairdi far from its northern limit of the distribution, in the south of St. Lawrence Island during 1991, and even crossing the Bering Strait into the Chukchi <span class="hlt">Sea</span> during 1992. We suggest that the long planktonic phase (3-5 months), in combination with the oceanographic circulation, may facilitate eventual long-distance transport.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28715890','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28715890"><span>Spring Melt and the Redistribution of Organochlorine Pesticides in the <span class="hlt">Sea</span>-Ice Environment: A Comparative Study between <span class="hlt">Arctic</span> and Antarctic Regions.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Bigot, Marie; Hawker, Darryl W; Cropp, Roger; Muir, Derek Cg; Jensen, Bjarne; Bossi, Rossana; Bengtson Nash, Susan M</p> <p>2017-08-15</p> <p>Complementary sampling of air, snow, <span class="hlt">sea</span>-ice, and seawater for a range of organochlorine pesticides (OCPs) was undertaken through the early stages of respective spring <span class="hlt">sea</span>-ice melting at coastal sites in northeast Greenland and eastern Antarctica to investigate OCP concentrations and redistribution during this time. Mean concentrations in seawater, <span class="hlt">sea</span>-ice and snow were generally greater at the <span class="hlt">Arctic</span> site. For example, α-HCH was found to have the largest concentrations of all analytes in <span class="hlt">Arctic</span> seawater and <span class="hlt">sea</span>-ice meltwater samples (224-253 and 34.7-48.2 pg·L -1 respectively compared to 1.0-1.3 and <0.63 pg·L -1 respectively for Antarctic samples). Differences in atmospheric samples were generally not as pronounced however. Findings suggest that <span class="hlt">sea</span>-ice OCP burdens originate from both snow and seawater. The distribution profile between seawater and <span class="hlt">sea</span>-ice showed a compound-dependency for <span class="hlt">Arctic</span> samples not evident with those from the Antarctic, possibly due to full submersion of <span class="hlt">sea</span>-ice at the former. Seasonal <span class="hlt">sea</span>-ice melt processes may alter the exchange rates of selected OCPs between air and seawater, but are not expected to reverse their direction, which fugacity modeling indicates is volatilisation in the <span class="hlt">Arctic</span> and net deposition in the Antarctic. These predictions are consistent with the limited current observations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016ESASP.740E..46J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016ESASP.740E..46J"><span>Newly Formed <span class="hlt">Sea</span> Ice in <span class="hlt">Arctic</span> Leads Monitored by C- and L-Band SAR</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Johansson, A. Malin; Brekke, Camilla; Spreen, Gunnar; King, Jennifer A.; Gerland, Sebastian</p> <p>2016-08-01</p> <p>We investigate the scattering entropy and co-polarization ratio for <span class="hlt">Arctic</span> lead ice using C- and L-band synthetic aperture radar (SAR) satellite scenes. During the Norwegian Young <span class="hlt">sea</span> ICE (N-ICE2015) cruise campaign overlapping SAR scenes, helicopter borne <span class="hlt">sea</span> ice thickness measurements and photographs were collected. We can therefore relate the SAR signal to <span class="hlt">sea</span> ice thickness measurements as well as photographs taken of the <span class="hlt">sea</span> ice. We show that a combination of scattering and co-polarization ratio values can be used to distinguish young ice from open water and surrounding <span class="hlt">sea</span> ice.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA519337','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA519337"><span><span class="hlt">Arctic</span> Security Considerations and the U.S. Navy’s Roadmap for the <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2010-01-01</p> <p>observed in the <span class="hlt">sea</span>, in the air, and on land. Indigenous <span class="hlt">Arctic</span> people are facing relocation and loss of communities as <span class="hlt">sea</span>-ice melt causes increased...<span class="hlt">sea</span>-ice melting associated with global climate change has caused leadersfrom the United States and the international community to reconsider the...of the Navy as a valued partner by the joint, interagency, and international communities . THE CHANGING <span class="hlt">ARCTIC</span> ENVIRONMENT The <span class="hlt">Arctic</span> has long been a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/24204642','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/24204642"><span>Floating ice-algal aggregates below melting <span class="hlt">arctic</span> <span class="hlt">sea</span> ice.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Assmy, Philipp; Ehn, Jens K; Fernández-Méndez, Mar; Hop, Haakon; Katlein, Christian; Sundfjord, Arild; Bluhm, Katrin; Daase, Malin; Engel, Anja; Fransson, Agneta; Granskog, Mats A; Hudson, Stephen R; Kristiansen, Svein; Nicolaus, Marcel; Peeken, Ilka; Renner, Angelika H H; Spreen, Gunnar; Tatarek, Agnieszka; Wiktor, Jozef</p> <p>2013-01-01</p> <p>During two consecutive cruises to the Eastern Central <span class="hlt">Arctic</span> in late summer 2012, we observed floating algal aggregates in the melt-water layer below and between melting ice floes of first-year pack ice. The macroscopic (1-15 cm in diameter) aggregates had a mucous consistency and were dominated by typical ice-associated pennate diatoms embedded within the mucous matrix. Aggregates maintained buoyancy and accumulated just above a strong pycnocline that separated meltwater and seawater layers. We were able, for the first time, to obtain quantitative abundance and biomass estimates of these aggregates. Although their biomass and production on a square metre basis was small compared to ice-algal blooms, the floating ice-algal aggregates supported high levels of biological activity on the scale of the individual aggregate. In addition they constituted a food source for the ice-associated fauna as revealed by pigments indicative of zooplankton grazing, high abundance of naked ciliates, and ice amphipods associated with them. During the <span class="hlt">Arctic</span> melt season, these floating aggregates likely play an important ecological role in an otherwise impoverished near-surface <span class="hlt">sea</span> ice environment. Our findings provide important observations and measurements of a unique aggregate-based habitat during the 2012 record <span class="hlt">sea</span> ice minimum year.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3804104','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3804104"><span>Floating Ice-Algal Aggregates below Melting <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Assmy, Philipp; Ehn, Jens K.; Fernández-Méndez, Mar; Hop, Haakon; Katlein, Christian; Sundfjord, Arild; Bluhm, Katrin; Daase, Malin; Engel, Anja; Fransson, Agneta; Granskog, Mats A.; Hudson, Stephen R.; Kristiansen, Svein; Nicolaus, Marcel; Peeken, Ilka; Renner, Angelika H. H.; Spreen, Gunnar; Tatarek, Agnieszka; Wiktor, Jozef</p> <p>2013-01-01</p> <p>During two consecutive cruises to the Eastern Central <span class="hlt">Arctic</span> in late summer 2012, we observed floating algal aggregates in the melt-water layer below and between melting ice floes of first-year pack ice. The macroscopic (1-15 cm in diameter) aggregates had a mucous consistency and were dominated by typical ice-associated pennate diatoms embedded within the mucous matrix. Aggregates maintained buoyancy and accumulated just above a strong pycnocline that separated meltwater and seawater layers. We were able, for the first time, to obtain quantitative abundance and biomass estimates of these aggregates. Although their biomass and production on a square metre basis was small compared to ice-algal blooms, the floating ice-algal aggregates supported high levels of biological activity on the scale of the individual aggregate. In addition they constituted a food source for the ice-associated fauna as revealed by pigments indicative of zooplankton grazing, high abundance of naked ciliates, and ice amphipods associated with them. During the <span class="hlt">Arctic</span> melt season, these floating aggregates likely play an important ecological role in an otherwise impoverished near-surface <span class="hlt">sea</span> ice environment. Our findings provide important observations and measurements of a unique aggregate-based habitat during the 2012 record <span class="hlt">sea</span> ice minimum year. PMID:24204642</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.C43B0759V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.C43B0759V"><span>Future Interannual Variability of <span class="hlt">Arctic</span> <span class="hlt">Sea</span> Ice Area and its Implications for Marine Navigation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Vavrus, S. J.; Mioduszewski, J.; Holland, M. M.; Wang, M.; Landrum, L.</p> <p>2016-12-01</p> <p>As both a symbol and driver of ongoing climate change, the diminishing <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice pack has been widely studied in a variety of contexts. Most research, however, has focused on time-mean changes in <span class="hlt">sea</span> ice, rather than on short-term variations that also have important physical and societal consequences. In this study we test the hypothesis that interannual <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice variability will increase in the future by utilizing a set of 40 independent simulations from the Community Earth System Model's Large Ensemble for the 1920-2100 period. The model projects that ice variability will indeed grow substantially in all months but with a strong seasonal dependence in magnitude and timing. The variability increases most during late autumn (November-December) and least during spring. This increase proceeds in a time-transgressive manner over the course of the year, peaking soonest (2020s) in late-summer months and latest (2090s) during late spring. The variability in every month is inversely correlated with the average melt rate, resulting in an eventual decline in both terms as the ice pack becomes seasonal by late century. These projected changes in <span class="hlt">sea</span> ice variations will likely have significant consequences for marine navigation, which we assess with the empirical Ice Numeral (IN) metric. A function of ice concentration and thickness, the IN quantifies the difficulty in traversing a transect of <span class="hlt">sea</span> ice-covered ocean as a function of vessel strength. Our results show that although increasingly open <span class="hlt">Arctic</span> <span class="hlt">seas</span> will mean generally more favorable conditions for navigation, the concurrent rise in the variability of ice cover poses a competing risk. In particular, future intervals featuring the most rapid declines in ice area that coincide with the highest interannual ice variations will offer more inviting shipping opportunities tempered by less predictable navigational conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70035872','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70035872"><span>Bathymetric controls on Pliocene North Atlantic and <span class="hlt">Arctic</span> <span class="hlt">sea</span> surface temperature and deepwater production</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Robinson, M.M.; Valdes, P.J.; Haywood, A.M.; Dowsett, H.J.; Hill, D.J.; Jones, S.M.</p> <p>2011-01-01</p> <p>The mid-Pliocene warm period (MPWP; ~. 3.3 to 3.0. Ma) is the most recent interval in Earth's history in which global temperatures reached and remained at levels similar to those projected for the near future. The distribution of global warmth, however, was different than today in that the high latitudes warmed more than the tropics. Multiple temperature proxies indicate significant <span class="hlt">sea</span> surface warming in the North Atlantic and <span class="hlt">Arctic</span> Oceans during the MPWP, but predictions from a fully coupled ocean-atmosphere model (HadCM3) have so far been unable to fully predict the large scale of <span class="hlt">sea</span> surface warming in the high latitudes. If climate proxies accurately represent Pliocene conditions, and if no weakness exists in the physics of the model, then model boundary conditions may be in error. Here we alter a single boundary condition (bathymetry) to examine if Pliocene high latitude warming was aided by an increase in poleward heat transport due to changes in the subsidence of North Atlantic Ocean ridges. We find an increase in both <span class="hlt">Arctic</span> <span class="hlt">sea</span> surface temperature and deepwater production in model experiments that incorporate a deepened Greenland-Scotland Ridge. These results offer both a mechanism for the warming in the North Atlantic and <span class="hlt">Arctic</span> Oceans indicated by numerous proxies and an explanation for the apparent disparity between proxy data and model simulations of Pliocene northern North Atlantic and <span class="hlt">Arctic</span> Ocean conditions. Determining the causes of Pliocene warmth remains critical to fully understanding comparisons of the Pliocene warm period to possible future climate change scenarios. ?? 2011.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19910041721&hterms=sonar&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dsonar','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19910041721&hterms=sonar&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dsonar"><span>Top/bottom multisensor remote sensing of <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Comiso, J. C.; Wadhams, P.; Krabill, W. B.; Swift, R. N.; Crawford, J. P.</p> <p>1991-01-01</p> <p>Results are presented on the Aircraft/Submarine <span class="hlt">Sea</span> Ice Project experiment carried out in May 1987 to investigate concurrently the top and the bottom features of the <span class="hlt">Arctic</span> <span class="hlt">sea</span>-ice cover. Data were collected nearly simultaneously by instruments aboard two aircraft and a submarine, which included passive and active (SAR) microwave sensors, upward looking and sidescan sonars, a lidar profilometer, and an IR sensor. The results described fall into two classes of correlations: (1) quantitative correlations between profiles, such as ice draft (sonar), ice elevation (laser), SAR backscatter along the track line, and passive microwave brightness temperatures; and (2) qualitative and semiquantitative correlations between corresponding areas of imagery (i.e., passive microwave, AR, and sidescan sonar).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.1818D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.1818D"><span><span class="hlt">Sea</span> level variations during rapid changing <span class="hlt">Arctic</span> Ocean from tide gauge and satellite altimetry</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Du, Ling; Xu, Daohuan</p> <p>2016-04-01</p> <p><span class="hlt">Sea</span> level variations can introduce the useful information under the circumstance of the rapid changing <span class="hlt">Arctic</span>. Based on tide gauge records and the satellite altimetry data in the <span class="hlt">Arctic</span> Ocean, the <span class="hlt">sea</span> level variations in the 20th century are analyzed with the stochastic dynamic method. The average secular trend of the <span class="hlt">sea</span> level record is about 1 mm/yr, which is smaller than the global mean cited by the IPCC climate assessment report. The secular trend in the coastal region differs from that in the deep water. After the mid-1970s, a weak acceleration of <span class="hlt">sea</span> level rise is found along the coasts of the Siberian and Aleutian Islands. Analysis of synchronous TOPEX/Poseidon altimetry data indicates that the amplitude of the seasonal variation is less than that of the inter-annual variation, whose periods vary from 4.7 to 6 years. This relationship is different from that in the mid-latitudes. The climate indices are the pre-cursors of the <span class="hlt">sea</span> level variations on multi-temporal scales. The model results show that while steric effects contribute significantly to the seasonal variation, the influence of atmospheric wind forcing is an important factor of <span class="hlt">sea</span> level during ice free region.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015TCD.....9.5521K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015TCD.....9.5521K"><span>Seasonal <span class="hlt">sea</span> ice predictions for the <span class="hlt">Arctic</span> based on assimilation of remotely sensed observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kauker, F.; Kaminski, T.; Ricker, R.; Toudal-Pedersen, L.; Dybkjaer, G.; Melsheimer, C.; Eastwood, S.; Sumata, H.; Karcher, M.; Gerdes, R.</p> <p>2015-10-01</p> <p>The recent thinning and shrinking of the <span class="hlt">Arctic</span> <span class="hlt">sea</span> ice cover has increased the interest in seasonal <span class="hlt">sea</span> ice forecasts. Typical tools for such forecasts are numerical models of the coupled ocean <span class="hlt">sea</span> ice system such as the North Atlantic/<span class="hlt">Arctic</span> Ocean <span class="hlt">Sea</span> Ice Model (NAOSIM). The model uses as input the initial state of the system and the atmospheric boundary condition over the forecasting period. This study investigates the potential of remotely sensed ice thickness observations in constraining the initial model state. For this purpose it employs a variational assimilation system around NAOSIM and the Alfred Wegener Institute's CryoSat-2 ice thickness product in conjunction with the University of Bremen's snow depth product and the OSI SAF ice concentration and <span class="hlt">sea</span> surface temperature products. We investigate the skill of predictions of the summer ice conditions starting in March for three different years. Straightforward assimilation of the above combination of data streams results in slight improvements over some regions (especially in the Beaufort <span class="hlt">Sea</span>) but degrades the over-all fit to independent observations. A considerable enhancement of forecast skill is demonstrated for a bias correction scheme for the CryoSat-2 ice thickness product that uses a spatially varying scaling factor.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004AGUFM.C21A0959M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004AGUFM.C21A0959M"><span>Affects of Changes in <span class="hlt">Sea</span> Ice Cover on Bowhead Whales and Subsistence Whaling in the Western <span class="hlt">Arctic</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Moore, S.; Suydam, R.; Overland, J.; Laidre, K.; George, J.; Demaster, D.</p> <p>2004-12-01</p> <p>Global warming may disproportionately affect <span class="hlt">Arctic</span> marine mammals and disrupt traditional subsistence hunting activities. Based upon analyses of a 24-year time series (1979-2002) of satellite-derived <span class="hlt">sea</span> ice cover, we identified significant positive trends in the amount of open-water in three large and five small-scale regions in the western <span class="hlt">Arctic</span>, including habitats where bowhead whales (Balaena mysticetus) feed or are suspected to feed. Bowheads are the only mysticete whale endemic to the <span class="hlt">Arctic</span> and a cultural keystone species for Native peoples from northwestern Alaska and Chukotka, Russia. While copepods (Calanus spp.) are a mainstay of the bowhead diet, prey sampling conducted in the offshore region of northern Chukotka and stomach contents from whales harvested offshore of the northern Alaskan coast indicate that euphausiids (Thysanoessa spp.) advected from the Bering <span class="hlt">Sea</span> are also common prey in autumn. Early departure of <span class="hlt">sea</span> ice has been posited to control availability of zooplankton in the southeastern Bering <span class="hlt">Sea</span> and in the Cape Bathurst polynya in the southeastern Canadian Beaufort <span class="hlt">Sea</span>, with maximum secondary production associated with a late phytoplankton bloom in insolatoin-stratified open water. While it is unclear if declining <span class="hlt">sea</span>-ice has directly affected production or advection of bowhead prey, an extension of the open-water season increases opportunities for Native subsistence whaling in autumn. Therefore, bowhead whales may provide a nexus for simultaneous exploration of the effects <span class="hlt">sea</span> ice reduction on pagophillic marine mammals and on the social systems of the subsistence hunting community in the western <span class="hlt">Arctic</span>. The NOAA/Alaska Fisheries Science Center and NSB/Department of Wildlife Management will investigate bowhead whale stock identity, seasonal distribution and subsistence use patterns during the International Polar Year, as an extension of research planned for 2005-06. This research is in response to recommendations from the Scientific</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_25 --> <div class="footer-extlink text-muted" style="margin-bottom:1rem; text-align:center;">Some links on this page may take you to non-federal websites. 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