Science.gov

Sample records for future gcm scenarios

  1. Ensemble Predictions of Future Snowfall Scenarios in the Karakorum and Hindu-Kush Mountains Using Downscaled GCM Data

    NASA Astrophysics Data System (ADS)

    Mosier, T. M.; Hill, D. F.; Sharp, K. V.

    2014-12-01

    Climate change is affecting the seasonality and mass of snow, and impacting the water resources of hundreds of millions of people who depend on streamflow originating in High Asia. Global climate model (GCM) outputs are the primary forcing data used to investigate future projections of changes in snow and glacier processes; however, these processes occur at a much finer spatial scale than the resolution of current GCMs. To facilitate studying the cryosphere in High Asia, we developed a software package to downscale monthly GCM data to 30-arcseconds for any global land area. Using this downscaling package, we produce an ensemble of downscaled GCM data from 2020-2100, corresponding to representative concentration pathways (RCPs) 4.5 and 8.5. We then use these data to model changes to snowfall in the Karakorum and Hindu Kush (KHK) region, which is located in High Asia. The ensemble mean of these data predict that total annual snowfall in 2095 will decrease by 22% under RCP 4.5 and 46% under RCP 8.5, relative to 1950-2000 climatological values. For both scenarios, the changes in snowfall are dependent on elevation, with the maximum decreases in snowfall occurring at approximately 2,300 m. While total snowfall decreases, an interesting feature of snowfall change for the RCP 8.5 scenario is that the ensemble mean projection shows an increase in snowfall for elevations between 3,000- 5,000 m relative to historic values. These fine-scale spatial, temporal, and elevation-dependent patterns of changes in projected snowfall significantly affect the energy balance of the snowpack, in turn affecting timing of melt and discharge. Therefore, our work can be coupled with a glacio-hydrological model to assess effects of these snowfall patterns on other processes or compared to existing model results to assess treatment of snow processes in the existing model. Our method is designed to downscale climate data for any global land area, allowing for the production of these fine

  2. Impact of horizontal resolution on scenarios of future European temperature and precipitation as derived from RCM and GCM simulations

    NASA Astrophysics Data System (ADS)

    Kjellström, Erik; Nikulin, Grigory

    2014-05-01

    In this study we investigate possible changes in temperature and precipitation on a regional scale over Europe from 1961 to 2100. We use data from three ensembles of climate simulations, one global and two regional ones, over the Europe-CORDEX domain. The global ensemble includes five coupled atmosphere ocean general circulation models (AOGCMs) from the CMIP5 project with horizontal resolution varying from about 1º to 3º, namely CNRM-CM5, HadGEM2-ES, IPSL-CM5A-MR, EC-EARTH and MPI-ESM-LR. In the regional ensembles all 5 AOGCMs are downscaled at the Rossby Centre (SMHI) by a regional climate model - RCA4 at 0.44º (c. 50 km) and at 0.11º (c. 12.5 km) resolution under the forcing scenarios RCP 8.5. The experimental setup allows us to investigate the benefit of the higher horizontal resolution, in RCA4 by comparing the results in the two RCA4 ensembles to the coarser driving AOGCM data. The significance of the results is investigated by comparing to i) the model simulated natural variability, and, ii) the biases in the control period. Results dealing with changes in the seasonal cycle of temperature and precipitation and their relation to changes in the large-scale atmospheric circulation are presented. We also address higher-order variability by showing results for changes in temperature extremes and for changes in intensity and frequency of extreme precipitation.

  3. Development of useful climate scenarios at regional scales using GCM outputs

    SciTech Connect

    Werner, P.C.

    1997-12-31

    If climate changes are expected, their regional impacts are of special interest. Up to now (and in the near future) global climate models have been unable to deliver applicable results to describe the climate situation within a selected region (IPCC, 1995). That is why the description of the climate development in such an area must be realised by another possibility of creating meteorological data. Of importance besides is that the consistency in space and time and also between all meteorological parameters is not infracted. The used method proceeds on the assumption that the large scale changes of several meteorological parameters for a defined region calculated by a GCM can be regarded as correct as regards their tendencies. Based on such an assumption, long-term observed time series are prepared by statistical methods in such a way that they reflect the GCM-calculated changes by a scenario. The advantage of this method lies in the reduction of the defects of the GCM to a minimum. Simultaneously the consistency between the meteorological parameters can be ensured. A disadvantage is the missing physical connection between the GCM results and the given scenario. This method was applied successfully to develop several climate scenarios for a limited area (state Brandenburg) in Germany.

  4. GLOBAL ALTERNATIVE FUTURE SCENARIOS

    EPA Science Inventory

    One way to examine possible future outcomes for environmental protection is through the development and analysis of alternative future scenarios. This type of assessment postulates two or more different paths that social and environmental development might take, using correspond...

  5. A comparison of downscaled and raw GCM output: implications for climate change scenarios in the San Juan River basin, Colorado

    NASA Astrophysics Data System (ADS)

    Wilby, R. L.; Hay, L. E.; Leavesley, G. H.

    1999-11-01

    The fundamental rationale for statistical downscaling is that the raw outputs of climate change experiments from General Circulation Models (GCMs) are an inadequate basis for assessing the effects of climate change on land-surface processes at regional scales. This is because the spatial resolution of GCMs is too coarse to resolve important sub-grid scale processes (most notably those pertaining to the hydrological cycle) and because GCM output is often unreliable at individual and sub-grid box scales. By establishing empirical relationships between grid-box scale circulation indices (such as atmospheric vorticity and divergence) and sub-grid scale surface predictands (such as precipitation), statistical downscaling has been proposed as a practical means of bridging this spatial difference. This study compared three sets of current and future rainfall-runoff scenarios. The scenarios were constructed using: (1) statistically downscaled GCM output; (2) raw GCM output; and (3) raw GCM output corrected for elevational biases. Atmospheric circulation indices and humidity variables were extracted from the output of the UK Meteorological Office coupled ocean-atmosphere GCM (HadCM2) in order to downscale daily precipitation and temperature series for the Animas River in the San Juan River basin, Colorado. Significant differences arose between the modelled snowpack and flow regimes of the three future climate scenarios. Overall, the raw GCM output suggests larger reductions in winter/spring snowpack and summer runoff than the downscaling, relative to current conditions. Further research is required to determine the generality of the water resource implications for other regions, GCM outputs and downscaled scenarios.

  6. An error model for GCM precipitation and temperature simulations for future (warmer) climate

    NASA Astrophysics Data System (ADS)

    Sivakumar, B.; Woldemeskel, F. M.; Sharma, A.; Mehrotra, R.

    2013-12-01

    Water resources assessments for future climates require meaningful simulations of likely precipitation and evaporation for simulation of flow and derived quantities of interest. Future climate projections using Global Climate Models (GCMs) are commonly used to assess the impacts of global climate change on hydrology and water resources. The reliability of such assessments, however, is questionable due to the various uncertainties present in GCM simulations, such as those associated with model structure, scenario, and initial condition. We present here a new basis for assigning a measure of uncertainty to GCM simulations of precipitation and temperature. Unlike other alternatives which assess overall GCM uncertainty, our approach leads to a unique measure of uncertainty in the variable of interest for each simulated value in space and time. We refer to this as an error model of GCM precipitation and temperature simulations. This is done through estimation of an uncertainty metric, called square root of error variance (SREV), and it involves the following steps: (1) Interpolating GCM outputs to a common spatial grid; (2) Converting the interpolated GCM outputs to percentiles; (3) Estimating SREV for each percentile; and (4) Transforming SREV estimates to time series. The SREV is derived taking into account the model structural, the emission scenario, and the initial condition uncertainty of the simulated value, the full error model being formulated using six GCMs (from the Coupled Model Inter-comparison Project phase 3 (CMIP3) multi-model dataset); three emission scenarios (B1, A1B and A2) and three ensemble runs, with a total of 54 time series representing the period 2001 to 2099. The results reveal that model uncertainty is the main source of error followed by scenario uncertainty. For precipitation, total uncertainty is larger in the tropical region close to the equator and reduces towards the north and south poles. The opposite is true for temperature where

  7. How to Factor GCM Uncertainty in Assessing Changes to Reservoir Storage Capacity for Future (Warmer) Climates?

    NASA Astrophysics Data System (ADS)

    Woldemeskel, F. M.; Sharma, A.; Sivakumar, B.; Mehrotra, R.

    2013-12-01

    Whether or not the existing storage capacity of reservoirs is sufficient to meet future water demands is a question of great interest to water managers and policy makers. Among other factors, uncertainties in GCM projections make accurate estimation of future water availability and reservoir storage requirements extremely complicated. Projections of variables using GCMs (e.g. temperature, precipitation) are highly uncertain due to inaccuracies in the climate model structure, greenhouse gas emission scenarios, and initial conditions (or ensemble runs) used. The present study proposes a new method to quantify the uncertainties (or standard errors) of GCM projections and their influence on the estimation of reservoir storage. The GCM standard errors are estimated through the following four steps: (i) interpolating multiple GCM outputs to a common spatial grid; (ii) converting the interpolated GCM outputs to percentiles; (iii) estimating standard error for model, scenario, initial condition and total uncertainty for each percentile; and (iv) transforming standard error estimates to time series. By assuming an additive error model and conditioning on these standard errors, thousands of rainfall and temperature realizations are obtained for a selected GCM and scenario. The temperature realizations are used to estimate evaporation realizations, which are then used as input (together with rainfall) to rainfall-runoff model for estimating streamflow. Finally, the streamflow realizations are used to quantify reservoir storage requirements with its associated uncertainties using reservoir behavior analysis. The proposed method is tested for the case of the Warragamba dam reservoir system that supplies more than 80% of water to Sydney, Australia. The results suggest that uncertainties in reservoir storage capacity will be significantly large for the future period than that for the historical period. Comparison of the effects of rainfall and evaporation uncertainty suggests

  8. Futures Scenario in Science Learning

    ERIC Educational Resources Information Center

    Lloyd, David; Vanderhout, Annastasia; Lloyd, Lisa; Atkins, David

    2010-01-01

    In this article we describe our experiences in developing futures scenarios in two science contexts, space science and atmospheric science/climate change. Futures scenario writing can develop scientific literacy by connecting science learning to students' lifeworlds--past, present and future. They also provide a synthesising mechanism for…

  9. Future Scenarios and Environmental Education

    ERIC Educational Resources Information Center

    Kopnina, Helen

    2014-01-01

    This article explores a number of questions about visions of the future and their implications for environmental education (EE). If the future were known, what kind of actions would be needed to maintain the positive aspects and reverse the negative ones? How could these actions be translated into the aims of EE? Three future scenarios are…

  10. Reduction of future monsoon precipitation over China: comparison between a high resolution RCM simulation and the driving GCM

    NASA Astrophysics Data System (ADS)

    Gao, X.; Shi, Y.; Song, R.; Giorgi, F.; Wang, Y.; Zhang, D.

    2008-08-01

    Multi-decadal high resolution climate change simulations over East Asia are performed using the Abdus Salam International Centre for Theoretical Physics (ICTP) Regional Climate Model, RegCM3, nested within the NASA/NCAR global model FvGCM. Two sets of simulations are conducted at 20-km grid spacing for present day and future climate (IPCC A2 scenario). The mean precipitation change during the monsoon season (May to September) over China is analyzed and intercompared between the RegCM and FvGCM. Simulation of the present day precipitation by the RegCM shows a better performance than that of the driving FvGCM in terms of both spatial pattern and amount. The main improvement of the RegCM is the removal of an artificial precipitation center over the eastern edge of the Tibetan Plateau simulated by the FvGCM. The FvGCM simulates a predominant increase of precipitation over the region, whereas the RegCM shows extended areas of decrease. The causes of these differences are investigated and explained in terms of the different topographical forcing on circulation and moisture flux in the two models. We also find that the RegCM-simulated changes are in better agreement with observed precipitation trends over East Asia. It is suggested that high resolution models are needed to better investigate future climate projections over China and East Asia.

  11. A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States

    USGS Publications Warehouse

    Hay, L.E.; Wilby, R.L.; Leavesley, G.H.

    2000-01-01

    Simulated daily precipitation, temperature, and runoff time series were compared in three mountainous basins in the United States: (1) the Animas River basin in Colorado, (2) the East Fork of the Carson River basin in Nevada and California, and (3) the Cle Elum River basin in Washington State. Two methods of climate scenario generation were compared: delta change and statistical downscaling. The delta change method uses differences between simulated current and future climate conditions from the Hadley Centre for Climate Prediction and Research (HadCM2) General Circulation Model (GCM) added to observed time series of climate variables. A statistical downscaling (SDS) model was developed for each basin using station data and output from the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis regridded to the scale of HadCM2. The SDS model was then used to simulate local climate variables using HadCM2 output for current and future conditions. Surface climate variables from each scenario were used in a precipitation-runoff model. Results from this study show that, in the basins tested, a precipitation-runoff model can simulate realistic runoff series for current conditions using statistically downscaled NCEP output. But, use of downscaled HadCM2 output for current or future climate assessments are questionable because the GCM does not produce accurate estimates of the surface variables needed for runoff in these regions. Given the uncertainties in the GCMs ability to simulate current conditions based on either the delta change or downscaling approaches, future climate assessments based on either of these approaches must be treated with caution.

  12. Biogeophysical consequences of a tropical deforestation scenario: A GCM simulation study

    SciTech Connect

    Sud, Y.C.; Lau, W.K.M.; Walker, G.K.

    1996-12-01

    Two 3-year (1979-1982) integrations were carried out with a version of the GLA GCM that contains the Simple Biosphere Model (SiB) for simulating land-atmosphere interactions. The control case used the usual SiB vegetation cover (comprising 12 vegetation types), while its twin, the deforestation case, imposed a scenario in which all tropical rainforests were entirely replaced by grassland. Except for this difference, all other initial and prescribed boundary conditions were kept identical in both integrations. An intercomparison of the integrations shows that tropical: deforestation decreases evapotranspiration and increases land surface outgoing longwave radiation and sensible heat flux, thereby warming and drying the planetary boundary layer. This happens despite the reduced absorption of solar radiation due to higher surface albedo of the deforested land. Produces significant and robust local as well as global climate changes. The local effect includes significant changes (mostly reductions) in precipitation and diabatic heating, while the large-scale effect is to weaken the Hadley circulation but invigorate the southern Ferrel cell, drawing larger air mass from the indirect polar cells. Decreases the surface stress (drag force) owing to reduced surface roughness of deforested land, which in turn intensifies winds in the planetary boundary layer, thereby affecting the dynamic structure of moisture convergence. The simulated surface winds are about 70% stronger and are accompanied by significant changes in the power spectrum of the annual cycle of surface and PBL winds and precipitation. Our results broadly confirm several findings of recent tropical deforestation simulation experiments. In addition, some global-scale climatic influences of deforestation not identified in earlier studies are delineated. 57 refs., 10 figs., 3 tabs.

  13. Scenario Writing: A Vision of the Future.

    ERIC Educational Resources Information Center

    Shewach, Dawn L.

    1991-01-01

    The Scenario Writing component of the Future Problem Solving Program calls for students to write a short-short story exploring variables in the future. This article describes the scenario writing process, presents samples of award-winning scenarios, and offers tips for student-authors and for coaches. (JDD)

  14. River flood risk in Jakarta under scenarios of future change

    NASA Astrophysics Data System (ADS)

    Budiyono, Y.; Aerts, J. C. J. H.; Tollenaar, D.; Ward, P.

    2015-07-01

    Given the increasing impacts of flooding in Jakarta, methods for assessing current and future flood risk are required. In this paper, we use the Damagescanner-Jakarta risk model to project changes in future river flood risk under scenarios of climate change, land subsidence, and land use change. We estimate current flood risk at USD 143 million p.a. Combining all future scenarios, we simulate a median increase in risk of +263 % by 2030. The single driver with the largest contribution to that increase is land subsidence (+173 %). We simulated the impacts of climate change by combining two scenario of sea level rise with simulations of changes in 1 day extreme precipitation totals from 5 Global Climate Models (GCMs) forced by 4 Representative Concentration Pathways (RCPs). The results are highly uncertain; the median change in risk due to climate change alone by 2030 is a decrease by -4 %, but we simulate an increase in risk under 21 of the 40 GCM-RCP-sea level rise combinations. Hence, we developed probabilistic risk scenarios to account for this uncertainty. Finally, we discuss the relevance of the results for flood risk management in Jakarta.

  15. FUTURE SCENARIOS OF CHANGE IN WILDLIFE HABITAT

    EPA Science Inventory

    Studies in Pennsylvania, Iowa, California, and Oregon show varying losses of terrestrial wildlife habitat in scenarios based on different assumptions about future human land use patterns. Retrospective estimates of losses of habitat since Euro-American settlement in several stud...

  16. Future Scenarios for Mobile Science Learning

    ERIC Educational Resources Information Center

    Burden, Kevin; Kearney, Matthew

    2016-01-01

    This paper adopts scenario planning as a methodological approach and tool to help science educators reconceptualise their use of mobile technologies across various different futures. These "futures" are set out neither as predictions nor prognoses but rather as stimuli to encourage greater discussion and reflection around the use of…

  17. River flood risk in Jakarta under scenarios of future change

    NASA Astrophysics Data System (ADS)

    Budiyono, Yus; Aerts, Jeroen C. J. H.; Tollenaar, Daniel; Ward, Philip J.

    2016-03-01

    Given the increasing impacts of flooding in Jakarta, methods for assessing current and future flood risk are required. In this paper, we use the Damagescanner-Jakarta risk model to project changes in future river flood risk under scenarios of climate change, land subsidence, and land use change. Damagescanner-Jakarta is a simple flood risk model that estimates flood risk in terms of annual expected damage, based on input maps of flood hazard, exposure, and vulnerability. We estimate baseline flood risk at USD 186 million p.a. Combining all future scenarios, we simulate a median increase in risk of +180 % by 2030. The single driver with the largest contribution to that increase is land subsidence (+126 %). We simulated the impacts of climate change by combining two scenarios of sea level rise with simulations of changes in 1-day extreme precipitation totals from five global climate models (GCMs) forced by the four Representative Concentration Pathways (RCPs). The results are highly uncertain; the median change in risk due to climate change alone by 2030 is a decrease by -46 %, but we simulate an increase in risk under 12 of the 40 GCM-RCP-sea level rise combinations. Hence, we developed probabilistic risk scenarios to account for this uncertainty. If land use change by 2030 takes places according to the official Jakarta Spatial Plan 2030, risk could be reduced by 12 %. However, if land use change in the future continues at the same rate as the last 30 years, large increases in flood risk will take place. Finally, we discuss the relevance of the results for flood risk management in Jakarta.

  18. Selecting reasonable future land use scenarios

    SciTech Connect

    Allred, W.E.; Smith, R.W.

    1995-12-31

    This paper examines a process to help select the most reasonable future land use scenarios for hazardous waste and/or low-level radioactive waste disposal sites. The process involves evaluating future land use scenarios by applying selected criteria currently used by commercial mortgage companies to determine the feasibility of obtaining a loan for purchasing such land. The basis for the process is that only land use activities for which a loan can be obtained will be considered. To examine the process, a low-level radioactive waste site, the Radioactive Waste Management Complex at the Idaho National Engineering Laboratory, is used as an example. The authors suggest that the process is a very precise, comprehensive, and systematic (common sense) approach for determining reasonable future use of land. Implementing such a process will help enhance the planning, decisionmaking, safe management, and cleanup of present and future disposal facilities.

  19. Future Scenarios for Mobile Science Learning

    NASA Astrophysics Data System (ADS)

    Burden, Kevin; Kearney, Matthew

    2016-04-01

    This paper adopts scenario planning as a methodological approach and tool to help science educators reconceptualise their use of mobile technologies across various different futures. These `futures' are set out neither as predictions nor prognoses but rather as stimuli to encourage greater discussion and reflection around the use of mobile technologies in science education. Informed by the literature and our empirical data, we consider four alternative futures for science education in a mobile world, with a particular focus on networked collaboration and student agency. We conclude that `seamless learning', whereby students are empowered to use their mobile technologies to negotiate across physical and virtual boundaries (e.g. between school and out-of-school activities), may be the most significant factor in encouraging educators to rethink their existing pedagogical patterns, thereby realizing some of the promises of contextualised participatory science learning.

  20. Model and Scenario Variations in Predicted Number of Generations of Spodoptera litura Fab. on Peanut during Future Climate Change Scenario

    PubMed Central

    Srinivasa Rao, Mathukumalli; Swathi, Pettem; Rama Rao, Chitiprolu Anantha; Rao, K. V.; Raju, B. M. K.; Srinivas, Karlapudi; Manimanjari, Dammu; Maheswari, Mandapaka

    2015-01-01

    The present study features the estimation of number of generations of tobacco caterpillar, Spodoptera litura. Fab. on peanut crop at six locations in India using MarkSim, which provides General Circulation Model (GCM) of future data on daily maximum (T.max), minimum (T.min) air temperatures from six models viz., BCCR-BCM2.0, CNRM-CM3, CSIRO-Mk3.5, ECHams5, INCM-CM3.0 and MIROC3.2 along with an ensemble of the six from three emission scenarios (A2, A1B and B1). This data was used to predict the future pest scenarios following the growing degree days approach in four different climate periods viz., Baseline-1975, Near future (NF) -2020, Distant future (DF)-2050 and Very Distant future (VDF)—2080. It is predicted that more generations would occur during the three future climate periods with significant variation among scenarios and models. Among the seven models, 1–2 additional generations were predicted during DF and VDF due to higher future temperatures in CNRM-CM3, ECHams5 & CSIRO-Mk3.5 models. The temperature projections of these models indicated that the generation time would decrease by 18–22% over baseline. Analysis of variance (ANOVA) was used to partition the variation in the predicted number of generations and generation time of S. litura on peanut during crop season. Geographical location explained 34% of the total variation in number of generations, followed by time period (26%), model (1.74%) and scenario (0.74%). The remaining 14% of the variation was explained by interactions. Increased number of generations and reduction of generation time across the six peanut growing locations of India suggest that the incidence of S. litura may increase due to projected increase in temperatures in future climate change periods. PMID:25671564

  1. Addressing an Uncertain Future Using Scenario Analysis

    SciTech Connect

    Siddiqui, Afzal S.; Marnay, Chris

    2006-12-15

    The Office of Energy Efficiency and Renewable Energy (EERE) has had a longstanding goal of introducing uncertainty into the analysis it routinely conducts in compliance with the Government Performance and Results Act (GPRA) and for strategic management purposes. The need to introduce some treatment of uncertainty arises both because it would be good general management practice, and because intuitively many of the technologies under development by EERE have a considerable advantage in an uncertain world. For example, an expected kWh output from a wind generator in a future year, which is not exposed to volatile and unpredictable fuel prices, should be truly worth more than an equivalent kWh from an alternative fossil fuel fired technology. Indeed, analysts have attempted to measure this value by comparing the prices observed in fixed-price natural gas contracts compared to ones in which buyers are exposed to market prices (see Bolinger, Wiser, and Golove and (2004)). In addition to the routine reasons for exploring uncertainty given above, the history of energy markets appears to have exhibited infrequent, but troubling, regime shifts, i.e., historic turning points at which the center of gravity or fundamental nature of the system appears to have abruptly shifted. Figure 1 below shows an estimate of how the history of natural gas fired generating costs has evolved over the last three decades. The costs shown incorporate both the well-head gas price and an estimate of how improving generation technology has gradually tended to lower costs. The purpose of this paper is to explore scenario analysis as a method for introducing uncertainty into EERE's forecasting in a manner consistent with the preceding observation. The two questions are how could it be done, and what is its academic basis, if any. Despite the interest in uncertainty methods, applying them poses some major hurdles because of the heavy reliance of EERE on forecasting tools that are deterministic in

  2. Future Scenarios for Fission Based Reactors

    NASA Astrophysics Data System (ADS)

    David, S.

    2005-04-01

    The coming century will see the exhaustion of standard fossil fuels, coal, gas and oil, which today represent 75% of the world energy production. Moreover, their use will have caused large-scale emission of greenhouse gases (GEG), and induced global climate change. This problem is exacerbated by a growing world energy demand. In this context, nuclear power is the only GEG-free energy source available today capable of responding significantly to this demand. Some scenarios consider a nuclear energy production of around 5 Gtoe in 2050, wich would represent a 20% share of the world energy supply. Present reactors generate energy from the fission of U-235 and require around 200 tons of natural Uranium to produce 1GWe.y of energy, equivalent to the fission of one ton of fissile material. In a scenario of a significant increase in nuclear energy generation, these standard reactors will consume the whole of the world's estimated Uranium reserves in a few decades. However, natural Uranium or Thorium ore, wich are not themselves fissile, can produce a fissile material after a neutron capture ( 239Pu and 233U respectively). In a breeder reactor, the mass of fissile material remains constant, and the fertile ore is the only material to be consumed. In this case, only 1 ton of natural ore is needed to produce 1GWe.y. Thus, the breeding concept allows optimal use of fertile ore and development of sustainable nuclear energy production for several thousand years into the future. Different sustainable nuclear reactor concepts are studied in the international forum "generation IV". Different types of coolant (Na, Pb and He) are studied for fast breeder reactors based on the Uranium cycle. The thermal Thorium cycle requires the use of a liquid fuel, which can be reprocessed online in order to extract the neutron poisons. This paper presents these different sustainable reactors, based on the Uranium or Thorium fuel cycles and will compare the different options in term of fissile

  3. Prediction of future climate change for the Blue Nile, using RCM nested in GCM

    NASA Astrophysics Data System (ADS)

    Sayed, E.; Jeuland, M.; Aty, M.

    2009-04-01

    Although the Nile River Basin is rich in natural resources, it faces many challenges. Rainfall is highly variable across the region, on both seasonal and inter-annual scales. This variability makes the region vulnerable to droughts and floods. Many development projects involving Nile waters are currently underway, or being studied. These projects will lead to land-use patterns changes and water distribution and availability. It is thus important to assess the effects of a) these projects and b) evolving water resource management and policies, on regional hydrological processes. This paper seeks to establish a basis for evaluation of such impacts within the Blue Nile River sub-basin, using the RegCM3 Regional Climate Model to simulate interactions between the land surface and climatic processes. We first present results from application of this RCM model nested with downscaled outputs obtained from the ECHAM5/MPI-OM1 transient simulations for the 20th Century. We then investigate changes associated with mid-21st century emissions forcing of the SRES A1B scenario. The results obtained from the climate model are then fed as inputs to the Nile Forecast System (NFS), a hydrologic distributed rainfall runoff model of the Nile Basin, The interaction between climatic and hydrological processes on the land surface has been fully coupled. Rainfall patterns and evaporation rates have been generated using RegCM3, and the resulting runoff and Blue Nile streamflow patterns have been simulated using the NFS. This paper compares the results obtained from the RegCM3 climate model with observational datasets for precipitation and temperature from the Climate Research Unit (UK) and the NASA Goddard Space Flight Center GPCP (USA) for 1985-2000. The validity of the streamflow predictions from the NFS is assessed using historical gauge records. Finally, we present results from modeling of the A1B emissions scenario of the IPCC for the years 2034-2055. Our results indicate that future

  4. Projecting yield changes of spring wheat under future climate scenarios on the Canadian Prairies

    NASA Astrophysics Data System (ADS)

    Qian, Budong; De Jong, Reinder; Huffman, Ted; Wang, Hong; Yang, Jingyi

    2016-02-01

    The potential impact of the rise in atmospheric CO2 concentration and associated climatic change on agricultural productivity needs assessment. Projecting crop yield changes under climate change requires future climate scenarios as input to crop yield models. It is widely accepted that downscaling of climate data is required to bridge the gap between large-scale global climate models (GCMs) and climate change impact models, such as crop growth models. Regional climate models (RCMs) are often used to dynamically downscale GCM simulations to smaller regional scales, while statistical methods, such as regression-based transfer functions and stochastic weather generators, are also widely employed to develop future climate scenarios for this purpose. The methods used in developing future climate scenarios often contribute to uncertainties in the projected impacts of climate change, in addition to those associated with GCMs and forcing scenarios. We employed climate scenarios from the state-of-the-art RCMs in the North American Regional Climate Change Assessment Program (NARCCAP), along with climate scenarios generated by a stochastic weather generator based on climate change simulations performed by their driving GCMs, to drive the CERES-Wheat model in DSSAT to project changes in spring wheat yield on the Canadian Prairies. The future time horizon of 2041-2070 and the baseline period of 1971-2000 were considered. The projected changes showed an average increase ranging from 26 to 37 % of the baseline yield when the effects of the elevated CO2 concentration were simulated, but only up to 15 % if the elevated CO2 effect was excluded. In addition to their potential use in climate change impact assessment, the results also demonstrated that the simulated crop yield changes were fairly consistent whether future climate scenarios were derived from RCMs or they were generated by a stochastic weather generator based on the simulated climate change from the GCMs that were used

  5. Scenarios for the Future of Teacher Education in Europe.

    ERIC Educational Resources Information Center

    Snoek, Marco; Baldwin, Gavin; Cautreels, Paul; Enemaerke, Torsten; Halstead, Valerie; Hilton, Gillian; Klemp, Torunn; Leriche, Leo; Linde, Goran; Nilsen, Elisabeth; Rehn, Joran; Smet, Ronny; Smith, Kari; Sousa, Jesus Maria; Stomp, Lex; Svensson, Hans; and Svensson, Leif

    2003-01-01

    Presents four scenarios that illustrate possible futures of teacher education in Europe. The scenarios differ in their emphasis on four driving forces: pragmatism, idealism, individualism, and social coherence. Each scenario is described in terms of characteristics of society, education/teacher education, and teacher/teacher educator roles and is…

  6. A future without health? Health dimension in global scenario studies.

    PubMed Central

    Martens, Pim; Huynen, Maud

    2003-01-01

    This paper reviews the health dimension and sociocultural, economic, and ecological determinants of health in existing global scenario studies. Not even half of the 31 scenarios reviewed gave a good description of future health developments and the different scenario studies did not handle health in a consistent way. Most of the global driving forces of health are addressed adequately in the selected scenarios, however, and it therefore would have been possible to describe the future developments in health as an outcome of these multiple driving forces. To provide examples on how future health can be incorporated in existing scenarios, we linked the sociocultural, economic, and environmental developments described in three sets of scenarios (special report on emission scenarios (SRES), global environmental outlook-3 (GEO3), and world water scenarios (WWS)) to three potential, but imaginary, health futures ("age of emerging infectious diseases", "age of medical technology", and "age of sustained health"). This paper provides useful insights into how to deal with future health in scenarios and shows that a comprehensive picture of future health evolves when all important driving forces and pressures are taken into account. PMID:14997242

  7. A Variable Resolution Gcm Simulation of The Impact of Future Land-use Changes On African Climate

    NASA Astrophysics Data System (ADS)

    Maynard, K.; Royer, J. F.; Chauvin, F.

    Simulations with atmospheric general circulation models (GCM) have generally shown a significant impact of large-scale anthropogenic changes in land cover, on the regional surface climate, particularly for the case of massive tropical deforesta- tion. However these simulations have usually been performed with idealized land- surface changes, and with horizontal resolutions of several hundred kilometers, which does not allow to represent in detail the geographical variations of the land surface processes and their possible feedbacks. To achieve a higher spatial resolution over a selected region, a variable resolution version of the ARPEGE-Climat model, with a zooming technique based on a conformal transformation of the sphere, has been ap- plied to time-slice simulations allowing to reach a resolution of about 100 km over Africa. For the validation of the model a control simulation for the current climate has been performed using a new vegetation database based on satellite data. A time-slice simulation for the middle of the 21-rst century has been performed using the SST anomaly patterns from a coupled atmosphere-ocean transient climate simulation per- formed with a lower resolution version of the ARPEGE-Climat under the conditions of the SRES-B2 scenario of IPCC. In order to specify realistic land cover changes the results of the integrated impact assessment model IMAGE 2.2 from RIVM (Bilthoven) have been used to compute land surface properties on a 0.5 grid over the conti- nents. The impact on the African monsoon of the expected land surface changes in a greenhouse-warmed climate simulated by the high resolution GCM will be illustrated and discussed in this presentation.

  8. Proposal of global flood vulnerability scenarios for evaluating future potential flood losses

    NASA Astrophysics Data System (ADS)

    Kinoshita, Y.; Tanoue, M.; Watanabe, S.; Hirabayashi, Y.

    2015-12-01

    Flooding is one of the most hazardous and damaging natural disasters causing serious economic loss and casualties across the world (Jongman et al., 2015). Previous studies showed that the global temperature increase affects regional weather pattern, and several general circulation model (GCM) simulations suggest the increase of flood events in both frequency and magnitude in many parts of the world (Hirabayashi et al., 2013). Effective adaptation to potential flood risks under the warming climate requires an in-depth understanding of both the physical and socioeconomic contributors of the flood risk. To assess the realistic future potential flood risk, future sophisticated vulnerability scenarios associated with the shared socioeconomic pathways (SSPs) are necessary. In this study we propose a new future vulnerability scenarios in mortality. Our vulnerability scenarios are constructed based on the modeled flood exposure (population potentially suffered by flooding) and a past from 1980 to 2005. All the flood fatality data were classified according to four income levels (high, mid-high, mid-low and low). Our proposed scenarios have three pathways regarding to SSPs; High efficiency (HE) scenario (SSP1, SSP4 (rich country) and SSP5), Medium efficiency (ME) scenario (SSP2), and Low efficiency (LE) scenario (SSP3 and SSP4 (poor country)). The maximum mortality protection level on each category was detected by applying exponential curve fitting with offset term. Slopes in the HE scenario are assumed to be equal to slopes estimated by regression analysis in each category. The slope in the HE scenario is defined by the mean value of all countries' slope value that is approximately -0.33 mortality decreases per year. The EM-DAT mortality data shows a decreasing trend in time in almost all of the countries. Although mortalities in some countries show an increasing trend, this is because these countries were affected by once-in-hundred-years floods after 1990's. The slope in

  9. Present and Future Energy Scenario in India

    NASA Astrophysics Data System (ADS)

    Kumar, S.; Bhattacharyya, B.; Gupta, V. K.

    2014-09-01

    India's energy sector is one of the most critical components of an infrastructure that affects India's economic growth and therefore is also one of the largest industries in India. India has the 5th largest electricity generating capacity and is the 6th largest energy consumer amounting for around 3.4 % of global energy consumption. India's energy demand has grown at 3.6 % pa over the past 30 years. The consumption of the energy is directly proportional to the progress of manpower with ever growing population, improvement in the living standard of the humanity and industrialization of the developing countries. Very recently smart grid technology can attribute important role in energy scenario. Smart grid refers to electric power system that enhances grid reliability and efficiency by automatically responding to system disturbances. This paper discusses the new communication infrastructure and scheme designed to integrate data.

  10. Assessment of Flood Risk and Future Change due to Climate Change in Asia-Pacific Region Based on MRI-GCM Model

    NASA Astrophysics Data System (ADS)

    Kwak, Y. J.; Takeuchi, K.; Fukami, K.; Magome, J.

    2012-04-01

    There is a worldwide concern about increasing flood risk in large river basins due to climate change. Changes in temperature, radiation, rainfall, soil moisture and CO2 concentrations all affect their watershed systems and land use, which then affect the water balances in the basins. Thus it is needed to develop effective global flood risk assessment methodologies. Although available climate models have limitations and do not have a resolution fine enough for accurate application at the river-basin level, the authors made an attempt to find a relationship between climate change and flood risk under extreme events. The purpose of this study was to estimate potential flood inundation areas (both future and present) and compare future changes with present simulations on a given hazard area in the Asia-pacific region. Flood simulation was derived from a global-scale study on a river basin in a continent, and flood risk for flood mapping was from a GIS analysis of a case study in the Asia-pacific region located between latitude 50N to 10S and longitude 50E to 145E. This paper presents a new methodology that is simple and practical to account for the possibility that a flood may be caused by one or more potential parameters. A flood hazard is characterized by inundation area, location (lowland around rivers), intensity (extreme values), frequency and probability (floods with the 50-year return period). This study suggested the potential and also general characteristics of global hazards with significant limitations of current models for continental-scale flood risk assessment by using the flood inundation depth (FID) based on Manning's steady, uniform flow resistance formula and an extreme scenario during 25-year simulations based on the BTOP model using precipitations from the MRI-GCM3.1S and 3.2S models for present-day (daily data from 1980 to 2004), near future (daily data from 2015 to 2039) and end-of-the-21st century (daily data from 2075 to 2099). This study found

  11. Future space development scenarios: Environmental considerations

    NASA Technical Reports Server (NTRS)

    Tangum, Richard

    1992-01-01

    The formation of positive attitudes and values concerning the environment of space, as the basis for assuming a wise stewardship role, is becoming increasingly important as many nations begin their journeys into space. A strong emphasis should be placed on fostering an international space environmental ethics. The object of environmental assessment and management in space should be to define what interplanetary regulatory procedures are needed to avoid unnecessary environmental damage and to monitor the effectiveness of such avoidance. The first requirement for research is to narrow the field of concern to areas where there could be an increased scale of development in space in the immediate future. Research needs to be focused on methodologies for defining the environmental systems involved (e.g., the lunar surface) and then recognizing key variables in the system that are fragile and need to be respected. Criteria for environmental quality should emerge which identify, in the case of lunar surface, how much mining activity can be safely undertaken and what quantity of exhaust gases can be released over a given period of time. Only then will humans be most able to evaluate the likely consequences of ventures into space.

  12. Marine storminess in the Mediterranean in future climate scenarios

    NASA Astrophysics Data System (ADS)

    Lionello, P.

    2009-09-01

    This talk reviews the analysis that is presently available on marine storms, their climatology and change in future climate scenarios. The cyclones that are responsible for the storms are analyzed using a regional climate model simulations of present day (1961-1990) and future (2071-2100, A2 and B2 emission scenarios) and the differences between northern Europe and Mediterranean are discussed. In the A2 and B2 scenarios the annual average storm track intensity increases over the North-East Atlantic and decreases over the Eastern Mediterranean region with respect to present day conditions,. The number of cyclones decreases in future scenarios throughout Europe, except over the central Europe and Mediterranean in summer, where it increases. This overall change pattern is larger in the A2 than in the B2 simulations. Wind-wave field changes are discussed considering a similar analysis. The mean SWH (Significant Wave Height) field over large fraction of the Mediterranean Sea is lower for the A2 scenario than for the present climate during winter, spring and autumn. During summer the A2 mean SWH field is also lower everywhere, except for two areas, those between Greece and Northern Africa and between Spain and Algeria, where it is significantly higher. All these changes are similar, though smaller and less significant, in the B2 scenario, except during winter in the north-western Mediterranean Sea, when the B2 mean SWH field is higher than in the REF simulation. Also extreme SWH values are smaller in future scenarios than in the present climate and such SWH change is larger for the A2 than for the B2 scenario. In general, changes of SWH, wind speed and atmospheric circulation are consistent, and results show milder marine storms in future scenarios than in the present climate.

  13. Flying into the future: aviation emissions scenarios to 2050.

    PubMed

    Owen, Bethan; Lee, David S; Lim, Ling

    2010-04-01

    This study describes the methodology and results for calculating future global aviation emissions of carbon dioxide and oxides of nitrogen from air traffic under four of the IPCC/SRES (Intergovernmental Panel on Climate Change/Special Report on Emissions Scenarios) marker scenarios: A1B, A2, B1, and B2. In addition, a mitigation scenario has been calculated for the B1 scenario, requiring rapid and significant technology development and transition. A global model of aircraft movements and emissions (FAST) was used to calculate fuel use and emissions to 2050 with a further outlook to 2100. The aviation emission scenarios presented are designed to interpret the SRES and have been developed to aid in the quantification of the climate change impacts of aviation. Demand projections are made for each scenario, determined by SRES economic growth factors and the SRES storylines. Technology trends are examined in detail and developed for each scenario providing plausible projections for fuel efficiency and emissions control technology appropriate to the individual SRES storylines. The technology trends that are applied are calculated from bottom-up inventory calculations and industry technology trends and targets. Future emissions of carbon dioxide are projected to grow between 2000 and 2050 by a factor in the range of 2.0 and 3.6 depending on the scenario. Emissions of oxides of nitrogen associated with aviation over the same period are projected to grow by between a factor of 1.2 and 2.7. PMID:20225840

  14. The Mediterranean surface wave climate inferred from future scenario simulations

    NASA Astrophysics Data System (ADS)

    Lionello, P.; Cogo, S.; Galati, M. B.; Sanna, A.

    2008-09-01

    This study is based on 30-year long simulations of the wind-wave field in the Mediterranean Sea carried out with the WAM model. Wave fields have been computed for the 2071-2100 period of the A2, B2 emission scenarios and for the 1961-1990 period of the present climate (REF). The wave model has been forced by the wind field computed by a regional climate model with 50 km resolution. The mean SWH (Significant Wave Height) field over large fraction of the Mediterranean sea is lower for the A2 scenario than for the present climate during winter, spring and autumn. During summer the A2 mean SWH field is also lower everywhere, except for two areas, those between Greece and Northern Africa and between Spain and Algeria, where it is significantly higher. All these changes are similar, though smaller and less significant, in the B2 scenario, except during winter in the north-western Mediterranean Sea, when the B2 mean SWH field is higher than in the REF simulation. Also extreme SWH values are smaller in future scenarios than in the present climate and such SWH change is larger for the A2 than for the B2 scenario. The only exception is the presence of higher SWH extremes in the central Mediterranean during summer for the A2 scenario. In general, changes of SWH, wind speed and atmospheric circulation are consistent, and results show milder marine storms in future scenarios than in the present climate.

  15. Insights into future air quality: a multipollutant analysis of future scenarios using the MARKAL model

    EPA Science Inventory

    In this presentation, we will provide an update on the development and evaluation of the Air Quality Futures (AQF) scenarios. These scenarios represent widely different assumptions regarding the evolution of the U.S. energy system over the next 40 years. The four AQF scenarios di...

  16. Assessment of Folsom Lake response to historical and potential future climate scenarios. 2. Reservoir management

    NASA Astrophysics Data System (ADS)

    Yao, H.; Georgakakos, A.

    2001-08-01

    An integrated forecast-decision system for Folsom Lake (California) is developed and used to assess the sensitivity of reservoir performance to various forecast-management schemes under historical and future climate scenarios. The assessments are based on various combinations of inflow forecasting models, decision rules, and climate scenarios. The inflow forecasting options include operational forecasts, historical analog ensemble forecasts, hydrologic ensemble forecasts, GCM-conditioned hydrologic ensemble forecasts, and perfect forecasts. Reservoir management is based on either heuristic rule curves or a decision system which includes three coupled models pertinent to turbine load dispatching, short-range energy generation scheduling, and long/mid-range reservoir management. The climate scenarios are based on historical inflow realizations, potential inflow realizations generated by General Circulation Models assuming no CO 2 increase, and potential inflow realizations assuming 1% CO 2 annual increase. The study demonstrates that (1) reliable inflow forecasts and adaptive decision systems can substantially benefit reservoir performance and (2) dynamic operational procedures can be effective climate change coping strategies.

  17. Modeling framework for exploring emission impacts of alternative future scenarios

    NASA Astrophysics Data System (ADS)

    Loughlin, D. H.; Benjey, W. G.; Nolte, C. G.

    2010-11-01

    This article presents an approach for creating anthropogenic emission scenarios that can be used to simulate future regional air quality. The approach focuses on energy production and use since these are principal sources of air pollution. We use the MARKAL model to characterize alternative realizations of the US energy system through 2050. Emission growth factors are calculated for major energy system categories using MARKAL, while growth factors from non-energy sectors are based on economic and population projections. The SMOKE model uses these factors to grow a base-year 2002 inventory to future years through 2050. The approach is demonstrated for two emission scenarios: Scenario 1 extends current air regulations through 2050, while Scenario 2 applies a hypothetical policy that limits carbon dioxide (CO2) emissions from the energy system. Although both scenarios show significant reductions in air pollutant emissions through time, these reductions are more pronounced in Scenario 2, where the CO2 policy results in the adoption of technologies with lower emissions of both CO2 and traditional air pollutants. The methodology is expected to play an important role in investigations of linkages among emission drivers, climate and air quality by the U.S. EPA and others.

  18. Analyses of Scenarios for Past and Possible Future Aircraft Emissions

    NASA Technical Reports Server (NTRS)

    Wuebbles, Donald J.; Patten, Kenneth O.; Rahmes, Tim

    1997-01-01

    This project contains several components to work with the NASA AEAP program in better definition of scenarios for aircraft emissions and in determining the sensitivity of the atmosphere to such emissions. Under this project, Don Wuebbles continues as chair of the Operations and Emissions Scenarios Committee for AEAP. We are also coordinating with the International Civil Aviation Organization (ICAO) to ensure the highest quality possible in the emissions scenarios promoted by the Emissions Scenarios committee. We continue to help coordination of NASA AEAP with international activities. This includes work with ICAO towards international analysis of aircraft emissions inventories; performing analyses to compare and evaluate databases of aircraft emissions developed for NASA and by various international groups and from these analyses, develop guidelines for future emissions scenarios development. Special sensitivity analyses, using our two-dimensional chemical-transport model of the global troposphere and stratosphere, have been used to determine potential sensitivity of further enhancements that could be made to emissions scenarios development. The latter studies are to be used in prioritizing further emissions scenario development.

  19. Forecast of Future Aviation Fuels. Part 1: Scenarios

    NASA Technical Reports Server (NTRS)

    English, J. M.; Liu, C. Y.; Smith, J. L.; Yin, A. K. K.; Pan, G. A.; Ayati, M. B.; Gyamfi, M.; Arabzadah, M. R.

    1978-01-01

    A preliminary set of scenarios is described for depicting the air transport industry as it grows and changes, up to the year 2025. This provides the background for predicting the needs for future aviation fuels to meet the requirements of the industry as new basic sources, such as oil shale and coal, which are utilized to supplement petroleum. Five scenarios are written to encompass a range of futures from a serious resource-constrained economy to a continuous and optimistic economic growth. A unique feature is the choice of one immediate range scenario which is based on a serious interruption of economic growth occasioned by an energy shortfall. This is presumed to occur due to lags in starting a synfuels program.

  20. Agricultural irrigation demand under present and future climate scenarios in China

    NASA Astrophysics Data System (ADS)

    Thomas, Axel

    2008-02-01

    The anticipated change of climatic conditions within the next decades is thought to have far reaching consequences for agricultural cropping systems. The success of crop production in China, the world's most populous country, will also have effects on the global food supply. More than 30% of the cropping area in China is irrigated producing the major part of the agricultural production. To model the effects of climate change on irrigation requirements for crop production in China a high-resolution (0.25°, monthly time series for temperature, precipitation and potential evapotranspiration) gridded climate data set that specifically allows for the effects of topography on climate was integrated with digital soil data in a GIS. Observed long-term trends of monthly means as well as trends of interannual variations were combined for climate scenarios for the year 2030 with average conditions as well as 'best case' and 'worst case' scenarios. Regional cropping calendars with allowance for multiple cropping systems and the adaptation of the begin and length of the growing season to climatic variations were incorporated in the FAO water balance model to calculate irrigation amounts to obtain maximum yields for the period 1951-1990 and the climate scenarios. During the period 1951-1990 irrigation demand displayed a considerable variation both in temporal and spatial respects. Future scenarios indicate a varied pattern of generally increasing irrigation demand and an enlargement of the subtropical cropping zone rather than a general northward drift of all zones as predicted by GCM models. The effects of interannual variability appear to have likely more impact on future cropping conditions than the anticipated poleward migration of cropping zones.

  1. The role of the uncertainty in assessing future scenarios of water shortage in alluvial aquifers

    NASA Astrophysics Data System (ADS)

    Romano, Emanuele; Camici, Stefania; Brocca, Luca; Moramarco, Tommaso; Guyennon, Nicolas; Preziosi, Elisabetta

    2015-04-01

    There are many evidences that the combined effects of variations in precipitation and temperature due to climate change can result in a significant change of the recharge to groundwater at different time scales. A possible reduction of effective infiltration can result in a significant decrease, temporary or permanent, of the availability of the resource and, consequently, the sustainable pumping rate should be reassessed. In addition to this, one should also consider the so called indirect impacts of climate change, resulting from human intervention (e.g. augmentation of abstractions) which are feared to be even more important than the direct ones in the medium term: thus, a possible increase of episodes of shortage (i.e. the inability of the groundwater system to completely supply the water demand) can result both from change in the climate forcing and change in the demand. In order to assess future scenarios of water shortage a modelling chain is often used. It includes: 1) the use of General Circulation Models to estimate changes in temperature and precipitation; 2) downscaling procedures to match modeling scenarios to the observed meteorological time series; 3) soil-atmosphere modelling to estimate the time variation of the recharge to the aquifer; 4) groundwater flow models to simulate the water budget and piezometric head evolution; 5) future scenarios of groundwater quantitative status that include scenarios of demand variation. It is well known that each of these processing steps is affected by an intrinsic uncertainty that propagates through the whole chain leading to a final uncertainty on the piezometric head scenarios. The estimate of such an uncertainty is a key point for a correct management of groundwater resources, in case of water shortage due to prolonged droughts as well as for planning purposes. This study analyzes the uncertainty of the processing chain from GCM scenarios to its impact on an alluvial aquifer in terms of exploitation

  2. Designing a Methodology for Future Air Travel Scenarios

    NASA Technical Reports Server (NTRS)

    Wuebbles, Donald J.; Baughcum, Steven L.; Gerstle, John H.; Edmonds, Jae; Kinnison, Douglas E.; Krull, Nick; Metwally, Munir; Mortlock, Alan; Prather, Michael J.

    1992-01-01

    -subsonic future fleet. The methodology, procedures, and recommendations for the development of future HSCT and the subsonic fleet scenarios used for this evaluation are discussed.

  3. Biodiversity scenarios neglect future land-use changes.

    PubMed

    Titeux, Nicolas; Henle, Klaus; Mihoub, Jean-Baptiste; Regos, Adrián; Geijzendorffer, Ilse R; Cramer, Wolfgang; Verburg, Peter H; Brotons, Lluís

    2016-07-01

    Efficient management of biodiversity requires a forward-looking approach based on scenarios that explore biodiversity changes under future environmental conditions. A number of ecological models have been proposed over the last decades to develop these biodiversity scenarios. Novel modelling approaches with strong theoretical foundation now offer the possibility to integrate key ecological and evolutionary processes that shape species distribution and community structure. Although biodiversity is affected by multiple threats, most studies addressing the effects of future environmental changes on biodiversity focus on a single threat only. We examined the studies published during the last 25 years that developed scenarios to predict future biodiversity changes based on climate, land-use and land-cover change projections. We found that biodiversity scenarios mostly focus on the future impacts of climate change and largely neglect changes in land use and land cover. The emphasis on climate change impacts has increased over time and has now reached a maximum. Yet, the direct destruction and degradation of habitats through land-use and land-cover changes are among the most significant and immediate threats to biodiversity. We argue that the current state of integration between ecological and land system sciences is leading to biased estimation of actual risks and therefore constrains the implementation of forward-looking policy responses to biodiversity decline. We suggest research directions at the crossroads between ecological and environmental sciences to face the challenge of developing interoperable and plausible projections of future environmental changes and to anticipate the full range of their potential impacts on biodiversity. An intergovernmental platform is needed to stimulate such collaborative research efforts and to emphasize the societal and political relevance of taking up this challenge. PMID:26950650

  4. Steering a Future through Scenarios: Into the Academic Library of the Future

    ERIC Educational Resources Information Center

    O'Connor, Steve; Au, Lai-chong

    2009-01-01

    Scenario planning as a strategic tool for future planning was explored. The case study showed how the Hong Kong Polytechnic University Library applied the process to draw up its preferred future, and illustrated the importance of involving all stakeholders in every stage for the shared future to be acceptable to all.

  5. Systems analysis of past, present, and future chemical terrorism scenarios.

    SciTech Connect

    Hoette, Trisha Marie

    2012-03-01

    Throughout history, as new chemical threats arose, strategies for the defense against chemical attacks have also evolved. As a part of an Early Career Laboratory Directed Research and Development project, a systems analysis of past, present, and future chemical terrorism scenarios was performed to understand how the chemical threats and attack strategies change over time. For the analysis, the difficulty in executing chemical attack was evaluated within a framework of three major scenario elements. First, historical examples of chemical terrorism were examined to determine how the use of chemical threats, versus other weapons, contributed to the successful execution of the attack. Using the same framework, the future of chemical terrorism was assessed with respect to the impact of globalization and new technologies. Finally, the efficacy of the current defenses against contemporary chemical terrorism was considered briefly. The results of this analysis justify the need for continued diligence in chemical defense.

  6. Insights into future air quality: Analysis of future emissions scenarios using the MARKAL model

    EPA Science Inventory

    This presentation will provide an update on the development and evaluation of four Air Quality Futures (AQF) scenarios. These scenarios represent widely different assumptions regarding the evolution of the U.S. energy system over the next 40 years. The primary differences between...

  7. Sensitivity of future continental United States water deficit projections to general circulation models, the evapotranspiration estimation method, and the greenhouse gas emission scenario

    NASA Astrophysics Data System (ADS)

    Chang, Seungwoo; Graham, Wendy D.; Hwang, Syewoon; Muñoz-Carpena, Rafael

    2016-08-01

    Projecting water deficit under various possible future climate scenarios depends on the choice of general circulation model (GCM), reference evapotranspiration (ET0) estimation method, and Representative Concentration Pathway (RCP) trajectory. The relative contribution of each of these factors must be evaluated in order to choose an appropriate ensemble of future scenarios for water resources planning. In this study variance-based global sensitivity analysis and Monte Carlo filtering were used to evaluate the relative sensitivity of projected changes in precipitation (P), ET0, and water deficit (defined here as P-ET0) to choice of GCM, ET0 estimation method, and RCP trajectory over the continental United States (US) for two distinct future periods: 2030-2060 (future period 1) and 2070-2100 (future period 2). A total of 9 GCMs, 10 ET0 methods, and 3 RCP trajectories were used to quantify the range of future projections and estimate the relative sensitivity of future projections to each of these factors. In general, for all regions of the continental US, changes in future precipitation are most sensitive to the choice of GCM, while changes in future ET0 are most sensitive to the choice of ET0 estimation method. For changes in future water deficit, the choice of GCM is the most influential factor in the cool season (December-March), and the choice of ET0 estimation method is most important in the warm season (May-October) for all regions except the Southeast US, where GCMs and ET0 have approximately equal influence throughout most of the year. Although the choice of RCP trajectory is generally less important than the choice of GCM or ET0 method, the impact of RCP trajectory increases in future period 2 over future period 1 for all factors. Monte Carlo filtering results indicate that particular GCMs and ET0 methods drive the projection of wetter or drier future conditions much more than RCP trajectory; however, the set of GCMs and ET0 methods that produce wetter or

  8. Mediation of Fire-Climate Linkages by Vegetation Types in Alaskan Arctic Tundra Ecosystems: Impacts of Model Uncertainty on GCM-Based Forecasts of Future Fire Activity

    NASA Astrophysics Data System (ADS)

    Duffy, P.; Higuera, P. E.; Young, A. M.; Hu, F.; Dietze, M.

    2014-12-01

    Fire is a powerful landscape scale disturbance agent in tundra ecosystems. Impacts on biophysical properties (e.g. albedo) and biogeochemical function (e.g. carbon flux) underscore the need to better quantify fire-climate linkages in tundra ecosystems as climate change accelerates at northern high latitudes. In this context, a critical question is "How does the functional linkage between climate and fire vary across spatial domains dominated by different vegetation types?" We address this question with BLM-Alaska Fire Service area burned data (http://fire.ak.blm.gov/predsvcs/maps.php) used in conjunction with downscaled historical climate data from the Scenarios Network for Alaska Planning (http://www.snap.uaf.edu/data.php) to develop gradient boosting models of annual area burned in Alaska tundra ecosystems. The sparse historical fire records in the Arctic necessitate explicit quantification of model uncertainty associated with the development of statistical analyses. In this work, model uncertainty is depicted through the construction of separate models depicting fire-climate relationships for regions defined by the graminoid, shrub, and wetland tundra vegetation classes (Circumpolar Arctic Vegetation Map: http://www.geobotany.uaf.edu/cavm/). Non-linear relationships between annual area burned and climate variables are depicted with partial dependence functions. Our results show that vegetation-specific models result in different non-linear relationships between climate and fire. Precipitation variables generally had higher relative influence scores than temperature; however, differences between the magnitude of the scores were greater when models were built with monthly (versus seasonal) explanatory variables. Key threshold values for climate variables are identified. The impact of model uncertainty on forecasts of future fire activity was quantified using output from five different AR5/CMIP5 General Circulation Models. Model uncertainty corresponding to

  9. Asian water futures - Multi scenarios, models and criteria assessment -

    NASA Astrophysics Data System (ADS)

    Satoh, Yusuke; Burek, Peter; Wada, Yoshihide; Flrörke, Martina; Eisner, Stephanie; Hanasaki, Naota; Kahil, Taher; Tramberend, Sylvia; Fischer, Günther; Wiberg, David

    2016-04-01

    A better understanding of the current and future availability of water resources is essential for the implementation of the recently agreed Sustainable Development Goals (SDGs). Long-term/efficient strategies for coping with current and potential future water-related challenges are urgently required. Although Representative Concentration Pathways (RCPs) and Shared Socioeconomic Pathways (SSPs) were develop for the impact assessment of climate change, very few assessments have yet used the SSPs to assess water resources. Then the IIASA Water Futures and Solutions Initiative (WFaS), developed a set of water use scenarios consistent with RCPs and SSPs and applying the latest climate changes scenarios. Here this study focuses on results for Asian countries for the period 2010-2050. We present three conceivable future pathways of Asian water resources, determined by feasible combinations of two RCPs and three SSPs. Such a scenario approach provides valuable insights towards identifying appropriate strategies as gaps between a "scenario world" and reality. In addition, for the assessment of future water resources a multi-criteria analysis is applied. A classification system for countries and watershed that consists of two broad dimensions: (i) economic and institutional adaptive capacity, (ii) hydrological complexity. The latter is composed of several sub-indexes including total renewable water resources per capita, the ratio of water demand to renewable water resource, variability of runoff and dependency ratio to external. Furthermore, this analysis uses a multi-model approach to estimate runoff and discharge using 5 GCMs and 5 global hydrological models (GHMs). Three of these GHMs calculate water use based on a consistent set of scenarios in addition to water availability. As a result, we have projected hot spots of water scarcity in Asia and their spatial and temporal change. For example, in a scenario based on SSP2 and RCP6.0, by 2050, in total 2.1 billion people

  10. Future Fuel Scenarios and Their Potential Impact to Aviation

    NASA Technical Reports Server (NTRS)

    Hendricks, Robert C.; Daggett, David L.; Anast, Peter; Lowery, Nathan

    2011-01-01

    In recent years fuel prices have been growing at a rapid pace. Current conservative projections predict that this is only a function of the natural volatility of oil prices, similar to the oil price spikes experienced in the 1970s. However, there is growing concern among analysts that the current price increases may not only be permanent, but that prices may continue to increase into the future before settling down at a much higher level than today. At high enough fuel prices, the aircraft industry would become very sensitive to fuel price. In this paper, the likelihood of fuel price increase is considered in three different price increase scenarios: "low," "medium," and "high." The impact of these scenarios on the aviation industry and alternatives are also addressed.

  11. Future Fuel Scenarios and Their Potential Impact to Aviation

    NASA Technical Reports Server (NTRS)

    Hendricks, Robert C.; Lowery, Nathan; Daggett, David L.; Anast, Peter

    2007-01-01

    In recent years fuel prices have been growing at a rapid pace. Current conservative projections predict that this is only a function of the natural volatility of oil prices, similar to the oil price spikes experienced in the 1970s. However, there is growing concern among analysts that the current price increases may not only be permanent, but that prices may continue to increase into the future before settling down at a much higher level than today. At high enough fuel prices, the aircraft industry would become very sensitive to fuel price. In this paper, the likelihood of fuel price increase is considered in three different price increase scenarios: "low," "medium," and "high." The impact of these scenarios on the aviation industry and alternatives are also addressed.

  12. The Workplace of the Future: Insights from Futures Scenarios and Today's High Performance Workplaces.

    ERIC Educational Resources Information Center

    Curtain, Richard

    1998-01-01

    Studies of the workplace of the future that used scenario-planning methodology and survey data suggest that nonmarket organizations will provide stability for temporary workers and result in the emergence of networks. Survey data suggest that future workplaces will foster intellectual capital through research and development. (JOW)

  13. China's sustainable energy future: Scenarios of energy and carbonemissions (Summary)

    SciTech Connect

    Zhou, Dadi; Levine, Mark; Dai, Yande; Yu, Cong; Guo, Yuan; Sinton, Jonathan E.; Lewis, Joanna I.; Zhu, Yuezhong

    2004-03-10

    China has ambitious goals for economic development, and mustfind ways to power the achievement of those goals that are bothenvironmentally and socially sustainable. Integration into the globaleconomy presents opportunities for technological improvement and accessto energy resources. China also has options for innovative policies andmeasures that could significantly alter the way energy is acquired andused. These opportunities andoptions, along with long-term social,demographic, and economic trends, will shape China s future energysystem, and consequently its contribution to emissions of greenhousegases, particularly carbon dioxide (CO2). In this study, entitled China sSustainable Energy Future: Scenarios of Energy and Carbon Emissions, theEnergy Research Institute (ERI), an independent analytic organizationunder China's Na tional Development and Reform Commission (NDRC), soughtto explore in detail how China could achieve the goals of the TenthFive-Year Plan and its longer term aims through a sustainable developmentstrategy. China's ability to forge a sustainable energy path has globalconsequences. China's annual emissions of greenhouse gases comprisenearly half of those from developing countries, and 12 percent of globalemissions. Most of China's greenhouse gas emissions are in the form ofCO2, 87 percent of which came from energy use in 2000. In that year,China's carbon emissions from energy use and cement production were 760million metric tons (Mt-C), second only to the 1,500 Mt-C emitted by theUS (CDIAC, 2003). As China's energy consumption continues to increase,greenhouse gas emissions are expected to inevitably increase into thefuture. However, the rate at which energy consumption and emissions willincrease can vary significantly depending on whether sustainabledevelopment is recognized as an important policy goal. If the ChineseGovernment chooses to adopt measures to enhance energy efficiency andimprove the overall structure of energy supply, it is possible

  14. Atlantic Hurricanes in Future Scenarios and Associated Insurance Losses

    NASA Astrophysics Data System (ADS)

    Kleppek, S.; Wüest, M.; Raible, C. C.; Kitoh, A.; Murakami, H.; Stocker, T. F.; Muccione, V.; Bresch, D. N.

    2009-04-01

    The hurricane season 2005 in the Atlantic was the most intense season since the first records with 28 tropical storms of which 15 reached hurricane character (Trenberth and Shea, 2006). Although this year is considered to be an outlier, a substantial increase of the activity of tropical cyclones (TCs) in the tropical Atlantic over the last decades is documented (Sriver and Huber, 2006; Hoyos et al., 2006; Webster et al. 2005; Emanuel, 2005). The role of the sea surface temperatures in the tropical Atlantic for the tropical storm activity was discussed already in Emanuel (2005) and Hoyos et al. (2006). Future changes of TC activity is currently under debate (e. g. Bengston et al., 2007). We contribute to this by applying our TC detection and tracking method which was developed for ERA-40 data (Kleppek et al., 2008) to time-slice experiments of two models: The ECHAM5 atmospheric model (MPI, Hamburg, Germany) and the 20 km-mesh, high resolution AGCM (MRI, Tsukuba-city, Japan). From each model two climate simulations are available: For the ECHAM5 a control run for the period 1960-90 and a SRES A2 scenario run for the period 2070-2100 and for the Mesh-AGCM a 20 years run with present day conditions and a 20 years run with end-of-21-century A2 conditions. To estimate losses of the ECHAM5- and Mesh-model hurricanes on the US coast, we have developed probabilistic hurricane event sets which are used as input for catXos, the loss model of the Swiss Reinsurance Company. Preliminary results show higher wind speeds of the ECHAM5 scenario run hurricanes than in the control run, but the numbers of the hurricanes of Saffir-Simpson-scale 2 to 4 show no clear difference between the control and scenario run of ECHAM5. Even though the resolution of the simulation is rather high no hurricanes of Saffir-Simpson-scale 5 are detected. The total number of TCs decreases for the scenario run. This applies as much to the TCs over the Atlantic as over the US-coast. References: Bengston L., K

  15. Sustainable WEE management in Malaysia: present scenarios and future perspectives

    NASA Astrophysics Data System (ADS)

    Rezaul Hasan Shumon, Md; Ahmed, S.

    2013-12-01

    Technological advances have resulted development of a lot of electronic products for continuously increasing number of customers. As the customer taste and features of these products change rapidly, the life cycles have come down tremendously. Therefore, a large volume of e-wastes are now emanated every year. This scenario is very much predominant in Malaysia. On one hand e-wastes are becoming environmental hazards and affecting the ecological imbalance. On the other, these wastes are remaining still economically valuable. In Malaysia, e-waste management system is still in its nascent state. This paper describes the current status of e-waste generation and recycling and explores issues for future e-waste management system in Malaysia from sustainable point of view. As to draw some factual comparisons, this paper reviews the e-waste management system in European Union, USA, Japan, as a benchmark. Then it focuses on understanding the Malaysian culture, consumer discarding behavior, flow of the materials in recycling, e-waste management system, and presents a comparative view with the Swiss e-waste system. Sustainable issues for e-waste management in Malaysia are also presented. The response adopted so far in collection and recovery activities are covered in later phases. Finally, it investigates the barriers and challenges of e-waste system in Malaysia.

  16. Alternative future scenarios for the SPS comparative assessment

    SciTech Connect

    Ayres, R.U.; Ridker, R.G.; Watson, W.D. Jr.; Arnold, J.; Tayi, G.

    1980-08-01

    The objective of the comparative assessment is to develop an initial understanding of the SPS with respect to a limited set of energy alternatives. A comparative methodology report describes the multi-step process in the comparative assessment. The first step is the selection and characterization of alternative energy systems. Terrestrial alternatives are selected, and their cost, performance, and environmental and social attributes are specified for use in the comparison with the SPS in the post-2000 era. Data on alternative technologies were sought from previous research and from other comparisons. The object of this study is to provide a futures framework for evaluating SPS (i.e., factor prices, primary energy prices, and energy demands for the US from 1980 to 2030). The economic/energy interactions are discussed, and a number of specific modelling schemes that have been used for long-range forecasting purposes are described. This discussion provides the rationale for the choice of a specific model and methodology, which is described. Long-range cost assumptions used in the forecast are detailed, and the basis for the selection of specific scenarios follows. Results of the analysis are detailed. (WHK)

  17. Future changes in global terrestrial carbon cycle under RCP scenarios

    NASA Astrophysics Data System (ADS)

    Lee, C.; Boo, K. O.; Hong, J.; Seong, H.; Heo, T. K.; Seol, K. H.; La, N.; Shim, S.; Lee, J. H.

    2014-12-01

    Terrestrial ecosystem plays the important role as carbon sink in the global carbon cycle. Understanding of interactions of terrestrial carbon cycle with climate is important for better prediction of future climate change. In this study, terrestrial carbon cycle is investigated by Hadley Centre Global Environmental Model, version 2, Carbon Cycle (HadGEM2-CC) that considers vegetation dynamics and an interactive carbon cycle with climate. The simulation for future projection is based on the three (8.5 / 4.5 / 2.6) representative concentration pathways (RCPs) from 2006 to 2100 and compared with historical land carbon uptake from 1979 to 2005. Projected changes in ecological features such as production, respiration, net ecosystem exchange and climate condition show similar pattern in three RCPs, while the response amplitude in each RCPs are different. For all RCP scenarios, temperature and precipitation increase with rising of the atmospheric CO2. Such climate conditions are favorable for vegetation growth and extension, causing future increase of terrestrial carbon uptakes in all RCPs. At the end of 21st century, the global average of gross and net primary productions and respiration increase in all RCPs and terrestrial ecosystem remains as carbon sink. This enhancement of land CO2uptake is attributed by the vegetated area expansion, increasing LAI (Leaf Area Index), and early onset of growing season. After mid-21st century, temperature rising leads to excessive increase of soil respiration than net primary production and thus the terrestrial carbon uptake begins to fall since that time. Regionally the NEE (Net Ecosystem Exchange) average value of East-Asia (90°E-140°E, 20°N-60°N) area is bigger than that of the same latitude band. In the end-21st the NEE mean values in East-Asia area are -2.09 PgC yr-1, -1.12 PgC yr-1, -0.47 PgC yr-1 and zonal mean NEEs of the same latitude region are -1.12 PgC yr-1, -0.55 PgC yr-1, -0.17 PgC yr-1 for RCP 8.5, 4.5, 2

  18. A dataset of future daily weather data for crop modelling over Europe derived from climate change scenarios

    NASA Astrophysics Data System (ADS)

    Duveiller, G.; Donatelli, M.; Fumagalli, D.; Zucchini, A.; Nelson, R.; Baruth, B.

    2015-10-01

    Coupled atmosphere-ocean general circulation models (GCMs) simulate different realizations of possible future climates at global scale under contrasting scenarios of land-use and greenhouse gas emissions. Such data require several additional processing steps before it can be used to drive impact models. Spatial downscaling, typically by regional climate models (RCM), and bias-correction are two such steps that have already been addressed for Europe. Yet, the errors in resulting daily meteorological variables may be too large for specific model applications. Crop simulation models are particularly sensitive to these inconsistencies and thus require further processing of GCM-RCM outputs. Moreover, crop models are often run in a stochastic manner by using various plausible weather time series (often generated using stochastic weather generators) to represent climate time scale for a period of interest (e.g. 2000 ± 15 years), while GCM simulations typically provide a single time series for a given emission scenario. To inform agricultural policy-making, data on near- and medium-term decadal time scale is mostly requested, e.g. 2020 or 2030. Taking a sample of multiple years from these unique time series to represent time horizons in the near future is particularly problematic because selecting overlapping years may lead to spurious trends, creating artefacts in the results of the impact model simulations. This paper presents a database of consolidated and coherent future daily weather data for Europe that addresses these problems. Input data consist of daily temperature and precipitation from three dynamically downscaled and bias-corrected regional climate simulations of the IPCC A1B emission scenario created within the ENSEMBLES project. Solar radiation is estimated from temperature based on an auto-calibration procedure. Wind speed and relative air humidity are collected from historical series. From these variables, reference evapotranspiration and vapour pressure

  19. Planning for Crew Exercise for Future Deep Space Mission Scenarios

    NASA Technical Reports Server (NTRS)

    Moore, Cherice; Ryder, Jeff

    2015-01-01

    Providing the necessary exercise capability to protect crew health for deep space missions will bring new sets of engineering and research challenges. Exercise has been found to be a necessary mitigation for maintaining crew health on-orbit and preparing the crew for return to earth's gravity. Health and exercise data from Apollo, Space Lab, Shuttle, and International Space Station missions have provided insight into crew deconditioning and the types of activities that can minimize the impacts of microgravity on the physiological systems. The hardware systems required to implement exercise can be challenging to incorporate into spaceflight vehicles. Exercise system design requires encompassing the hardware required to provide mission specific anthropometrical movement ranges, desired loads, and frequencies of desired movements as well as the supporting control and monitoring systems, crew and vehicle interfaces, and vibration isolation and stabilization subsystems. The number of crew and operational constraints also contribute to defining the what exercise systems will be needed. All of these features require flight vehicle mass and volume integrated with multiple vehicle systems. The International Space Station exercise hardware requires over 1,800 kg of equipment and over 24 m3 of volume for hardware and crew operational space. Improvements towards providing equivalent or better capabilities with a smaller vehicle impact will facilitate future deep space missions. Deep space missions will require more understanding of the physiological responses to microgravity, understanding appropriate mitigations, designing the exercise systems to provide needed mitigations, and integrating effectively into vehicle design with a focus to support planned mission scenarios. Recognizing and addressing the constraints and challenges can facilitate improved vehicle design and exercise system incorporation.

  20. Simulating Future GPS Clock Scenarios with Two Composite Clock Algorithms

    NASA Technical Reports Server (NTRS)

    Suess, Matthias; Matsakis, Demetrios; Greenhall, Charles A.

    2010-01-01

    Using the GPS Toolkit, the GPS constellation is simulated using 31 satellites (SV) and a ground network of 17 monitor stations (MS). At every 15-minutes measurement epoch, the monitor stations measure the time signals of all satellites above a parameterized elevation angle. Once a day, the satellite clock estimates the station and satellite clocks. The first composite clock (B) is based on the Brown algorithm, and is now used by GPS. The second one (G) is based on the Greenhall algorithm. The composite clock of G and B performance are investigated using three ground-clock models. Model C simulates the current GPS configuration, in which all stations are equipped with cesium clocks, except for masers at USNO and Alternate Master Clock (AMC) sites. Model M is an improved situation in which every station is equipped with active hydrogen masers. Finally, Models F and O are future scenarios in which the USNO and AMC stations are equipped with fountain clocks instead of masers. Model F is a rubidium fountain, while Model O is more precise but futuristic Optical Fountain. Each model is evaluated using three performance metrics. The timing-related user range error having all satellites available is the first performance index (PI1). The second performance index (PI2) relates to the stability of the broadcast GPS system time itself. The third performance index (PI3) evaluates the stability of the time scales computed by the two composite clocks. A distinction is made between the "Signal-in-Space" accuracy and that available through a GNSS receiver.

  1. Future Extreme Heat Scenarios to Enable the Assessment of Climate Impacts on Public Health over the Coterminous U.S

    NASA Astrophysics Data System (ADS)

    Quattrochi, D. A.; Crosson, W. L.; Al-Hamdan, M. Z.; Estes, M. G., Jr.

    2013-12-01

    In the United States, extreme heat is the most deadly weather-related hazard. In the face of a warming climate and urbanization, which contributes to local-scale urban heat islands, it is very likely that extreme heat events (EHEs) will become more common and more severe in the U.S. This research seeks to provide historical and future measures of climate-driven extreme heat events to enable assessments of the impacts of heat on public health over the coterminous U.S. We use atmospheric temperature and humidity information from meteorological reanalysis and from Global Climate Models (GCMs) to provide data on past and future heat events. The focus of research is on providing assessments of the magnitude, frequency and geographic distribution of extreme heat in the U.S. to facilitate public health studies. In our approach, long-term climate change is captured with GCM outputs, and the temporal and spatial characteristics of short-term extremes are represented by the reanalysis data. Two future time horizons for 2040 and 2090 are compared to the recent past period of 1981-2000. We characterize regional-scale temperature and humidity conditions using GCM outputs for two climate change scenarios (A2 and A1B) defined in the Special Report on Emissions Scenarios (SRES). For each future period, 20 years of multi-model GCM outputs are analyzed to develop a ';heat stress climatology' based on statistics of extreme heat indicators. Differences between the two future and the past period are used to define temperature and humidity changes on a monthly time scale and regional spatial scale. These changes are combined with the historical meteorological data, which is hourly and at a spatial scale (12 km) much finer than that of GCMs, to create future climate realizations. From these realizations, we compute the daily heat stress measures and related spatially-specific climatological fields, such as the mean annual number of days above certain thresholds of maximum and minimum air

  2. Future Extreme Heat Scenarios to Enable the Assessment of Climate Impacts on Public Health over the Coterminous U.S.

    NASA Technical Reports Server (NTRS)

    Quattrochi, Dale A.; Crosson, William L.; Al-Hamdan, Mohammad Z.; Estes, Maurice G., Jr.

    2013-01-01

    In the United States, extreme heat is the most deadly weather-related hazard. In the face of a warming climate and urbanization, which contributes to local-scale urban heat islands, it is very likely that extreme heat events (EHEs) will become more common and more severe in the U.S. This research seeks to provide historical and future measures of climate-driven extreme heat events to enable assessments of the impacts of heat on public health over the coterminous U.S. We use atmospheric temperature and humidity information from meteorological reanalysis and from Global Climate Models (GCMs) to provide data on past and future heat events. The focus of research is on providing assessments of the magnitude, frequency and geographic distribution of extreme heat in the U.S. to facilitate public health studies. In our approach, long-term climate change is captured with GCM outputs, and the temporal and spatial characteristics of short-term extremes are represented by the reanalysis data. Two future time horizons for 2040 and 2090 are compared to the recent past period of 1981- 2000. We characterize regional-scale temperature and humidity conditions using GCM outputs for two climate change scenarios (A2 and A1B) defined in the Special Report on Emissions Scenarios (SRES). For each future period, 20 years of multi-model GCM outputs are analyzed to develop a 'heat stress climatology' based on statistics of extreme heat indicators. Differences between the two future and the past period are used to define temperature and humidity changes on a monthly time scale and regional spatial scale. These changes are combined with the historical meteorological data, which is hourly and at a spatial scale (12 km), to create future climate realizations. From these realizations, we compute the daily heat stress measures and related spatially-specific climatological fields, such as the mean annual number of days above certain thresholds of maximum and minimum air temperatures, heat indices

  3. Future Scenario Writing as a Family Problem Solving Activity: If Today Were Tomorrow.

    ERIC Educational Resources Information Center

    Murdock, Mary C.

    1993-01-01

    Future scenario writing is presented as a combined writing and problem-solving technique that identifies alternative ways of thinking about situations. Uses of future scenario writing in family problem solving include setting family goals, communicating growth resulting from new experiences, resolving family problems, encouraging family…

  4. Climate impacts of the ECLIPSE future emissions mitigation scenario

    NASA Astrophysics Data System (ADS)

    Baker, Laura; Collins, Bill; Olivie, Dirk; Cherian, Ribu; Quaas, Johannes; Myhre, Gunnar; Hodnebrog, Oivind; Skeie, Ragnhild

    2016-04-01

    We investigate the possible near-term climate benefits from mitigating aerosols, ozone and methane. The ECLIPSE (Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants) project developed a realistic emissions inventory based on current legislation for 2005-2050 (CLE), and a corresponding mitigation scenario designed to be beneficial for both air quality and short-term climate impact (MIT). We determine the climate impacts of the MIT scenario, focussing on the period 2040-2050. Four climate models with interactive chemistry and aerosols (HadGEM, NorESM, CESM-CAM4 and ECHAM-HAM) are used to provide multi-model ensembles of both atmosphere-only and coupled atmosphere-ocean simulations, to separate the effective radiative forcing (ERF) and the climate response. The ERFs are derived from the atmosphere-only simulations. In all models the MIT scenario leads to a negative global ERF which is driven mainly by methane emissions reductions. There is variability between models in the relative importance of methane and aerosol emissions reductions, and in the sign of ERF response to aerosol emissions reductions. The climate response to MIT is derived from the coupled simulations. In all models, MIT results in a decrease in the global mean temperature compared to CLE, with a model mean decrease of 0.22°C. The temperature decrease is seen most strongly in the Northern Hemisphere and is particularly strong in the Arctic. The ensembles of coupled-ocean simulations have therefore enabled us to identify a robust cooling signal from the air quality mitigation scenarios, which can be attributed to the different species using the ERFs.

  5. Alternative Scenarios of the American Future: 1980-2000.

    ERIC Educational Resources Information Center

    Glover, Robert

    This report is a summary of the findings of the societal trends survey completed at the National Forum on Learning and The American Future, which focused on factors influencing the future of adult learning. The survey questionnaire and results consist of 120 societal trend statements organized into sixteen different content areas: demography;…

  6. Scenario analysis in environmental impact assessment: Improving explorations of the future

    SciTech Connect

    Duinker, Peter N. . E-mail: peter.duinker@dal.ca; Greig, Lorne A. . E-mail: lgreig@essa.com

    2007-04-15

    Scenarios and scenario analysis have become popular approaches in organizational planning and participatory exercises in pursuit of sustainable development. However, they are little used, at least in any formal way, in environmental impact assessment (EIA). This is puzzling because EIA is a process specifically dedicated to exploring options for more-sustainable (i.e., less environmentally damaging) futures. In this paper, we review the state of the art associated with scenarios and scenario analysis, and describe two areas where scenario analysis could be particularly helpful in EIA: (a) in defining future developments for cumulative effects assessment; and (b) in considering the influence of contextual change - e.g. climate change - on impact forecasts for specific projects. We conclude by encouraging EIA practitioners to learn about the promise of scenario-based analysis and implement scenario-based methods so that EIA can become more effective in fostering sustainable development.

  7. A history of futures: A review of scenario use in water policy studies in the Netherlands

    PubMed Central

    Haasnoot, M.; Middelkoop, H.

    2012-01-01

    The future of human life in the world's river deltas depends on the success of water management. To deal with uncertainties about the future, policymakers in the Netherlands have used scenarios to develop water management strategies for the coastal zone of the Rhine–Meuse delta. In this paper we reflect on six decades of scenario use in the Netherlands, and provide recommendations for future studies. Based on two criteria, ‘Decision robustness’ and ‘Learning success’, we conclude that (1) the possibilities for robust decisionmaking increased through a paradigm shift from predicting to exploring futures, but the scenario method is not yet fully exploited for decisionmaking under uncertainty; and (2) the scenarios enabled learning about possible impacts of developments and effectiveness of policy options. New scenario approaches are emerging to deal with the deep uncertainties water managers are currently facing. PMID:23471143

  8. Future waste treatment and energy systems – examples of joint scenarios

    SciTech Connect

    Münster, M.; Finnveden, G.; Wenzel, H.

    2013-11-15

    Highlights: • Approach for use of scenarios dealing with both waste management and energy issues. • Overall scenarios for the common project and sub-scenarios in parts of the project. • Combining different types of scenarios to the tools of different disciplines. • Use of explorative external scenarios based on marginals for consequential LCA. - Abstract: Development and use of scenarios for large interdisciplinary projects is a complicated task. This article provides practical examples of how it has been carried out in two projects addressing waste management and energy issues respectively. Based on experiences from the two projects, recommendations are made for an approach concerning development of scenarios in projects dealing with both waste management and energy issues. Recommendations are given to develop and use overall scenarios for the project and leave room for sub-scenarios in parts of the project. Combining different types of scenarios is recommended, too, in order to adapt to the methods and tools of different disciplines, such as developing predictive scenarios with general equilibrium tools and analysing explorative scenarios with energy system analysis tools. Furthermore, as marginals identified in differing future background systems determine the outcomes of consequential life cycle assessments (LCAs), it is considered advisable to develop and use explorative external scenarios based on possible marginals as a framework for consequential LCAs. This approach is illustrated using an on-going Danish research project.

  9. Nuclear power for the future: Implications of some crisis scenarios

    SciTech Connect

    Turner, K.H.

    1996-12-31

    As energy issues have dropped from public awareness, electricity demand growth has remained low, deregulation has destabilized the utility decision process, and least-cost regulation has pointed utilities to gas-fired plants for those additions that are coming on-line, the nuclear power industry has begun to ask the question: What will cause nuclear energy to again compete as an option in new, domestic generating capacity additions? Since virtually all of today`s corporate and societal decisions are driven by short-term factors, the preceding question can be translated into: What crisis might occur that would project nuclear as the solution to an immediately perceived problem? Thus, an examination of scenarios that would project nuclear power into the country`s immediate consciousness is in order, along with an analysis of the implications for and challenges to the nuclear industry resulting therefrom. This paper undertakes such an analysis.

  10. Future scenarios of impacts to ecosystem services on California rangelands

    USGS Publications Warehouse

    Byrd, Kristin; Alvarez, Pelayo; Flint, Lorraine; Flint, Alan

    2014-01-01

    The 18 million acres of rangelands in the Central Valley of California provide multiple benefits or “ecosystem services” to people—including wildlife habitat, water supply, open space, recreation, and cultural resources. Most of this land is privately owned and managed for livestock production. These rangelands are vulnerable to land-use conversion and climate change. To help resource managers assess the impacts of land-use change and climate change, U.S. Geological Survey scientists and their cooperators developed scenarios to quantify and map changes to three main rangeland ecosystem services—wildlife habitat, water supply, and carbon sequestration. Project results will help prioritize strategies to conserve these rangelands and the ecosystem services that they provide.

  11. Towards "DRONE-BORNE" Disaster Management: Future Application Scenarios

    NASA Astrophysics Data System (ADS)

    Tanzi, Tullio Joseph; Chandra, Madhu; Isnard, Jean; Camara, Daniel; Sebastien, Olivier; Harivelo, Fanilo

    2016-06-01

    Information plays a key role in crisis management and relief efforts for natural disaster scenarios. Given their flight properties, UAVs (Unmanned Aerial Vehicles) provide new and interesting perspectives on the data gathering for disaster management. A new generation of UAVs may help to improve situational awareness and information assessment. Among the advantages UAVs may bring to the disaster management field, we can highlight the gain in terms of time and human resources, as they can free rescue teams from time-consuming data collection tasks and assist research operations with more insightful and precise guidance thanks to advanced sensing capabilities. However, in order to be useful, UAVs need to overcome two main challenges. The first one is to achieve a sufficient autonomy level, both in terms of navigation and interpretation of the data sensed. The second major challenge relates to the reliability of the UAV, with respect to accidental (safety) or malicious (security) risks. This paper first discusses the potential of UAV in assisting in different humanitarian relief scenarios, as well as possible issues in such situations. Based on recent experiments, we discuss the inherent advantages of autonomous flight operations, both lone flights and formation flights. The question of autonomy is then addressed and a secure embedded architecture and its specific hardware capabilities is sketched out. We finally present a typical use case based on the new detection and observation abilities that UAVs can bring to rescue teams. Although this approach still has limits that have to be addressed, technically speaking as well as operationally speaking, it seems to be a very promising one to enhance disaster management efforts activities.

  12. Future Scenarios in Communications. [Student's Guide.] Preparing for Tomorrow's World.

    ERIC Educational Resources Information Center

    Iozzi, Louis A.; And Others

    The purpose of this module is to introduce students (grades 7-8) to the concept of change and factors influencing change. The module is composed of two major sections. Section 1 examines the development of the telephone system in the United States and introduces four futures forecasting techniques (Delphi probe, cross-impact matrix, trend…

  13. The role of future scenarios to understand deep uncertainty

    EPA Science Inventory

    The environment and its interaction with human systems(economic, social and political) is complex and dynamic. Key drivers may disrupt system dynamics in unforeseen ways, making it difficult to predict future conditions precisely. This kind of deep uncertainty presents a challe...

  14. Technology assessment of future intercity passenger transportation systems. Volume 4: Scenarios

    NASA Technical Reports Server (NTRS)

    1976-01-01

    Four background scenarios that relate to alternative states of society in the next 25 to 50 years are described. The scenarios were developed for use in analyzing and evaluating alternative future intercity transportation technologies. The scenarios are based, in part, on discussions contained in the issue papers and, in part, on separate analysis of social and economic trends considered relevant for the evolution of intercity transportation.

  15. Aerosol effect on climate extremes in Europe under different future scenarios

    NASA Astrophysics Data System (ADS)

    Sillmann, J.; Pozzoli, L.; Vignati, E.; Kloster, S.; Feichter, J.

    2013-05-01

    This study investigates changes in extreme temperature and precipitation events under different future scenarios of anthropogenic aerosol emissions (i.e., SO2 and black and organic carbon) simulated with an aerosol-climate model (ECHAM5-HAM) with focus on Europe. The simulations include a maximum feasible aerosol reduction (MFR) scenario and a current legislation emission (CLEmod) scenario where Europe implements the MFR scenario, but the rest of the world follows the current legislation scenario and a greenhouse gas scenario. The strongest changes relative to the year 2000 are projected for the MFR scenario, in which the global aerosol reduction greatly enforces the general warming effect due to greenhouse gases and results in significant increases of temperature and precipitation extremes in Europe. Regional warming effects can also be identified from aerosol reductions under the CLEmodscenario. This becomes most obvious in the increase of the hottest summer daytime temperatures in Northern Europe.

  16. Viewing the Future of University Research Libraries through the Perspectives of Scenarios

    ERIC Educational Resources Information Center

    Cawthorne, Jon Edward

    2013-01-01

    This research highlights the scenarios that might serve as a strategic vision to describe a future beyond the current library, one which both guides provosts and creates a map for the transformation of human resources and technology in the university research libraries. The scenarios offer managerial leaders an opportunity to envision new roles…

  17. How will Somali coastal upwelling evolve under future warming scenarios?

    PubMed Central

    deCastro, M.; Sousa, M. C.; Santos, F.; Dias, J. M.; Gómez-Gesteira, M.

    2016-01-01

    Somali upwelling system, the fifth in the world, presents some unique features compared with the other major upwelling systems: 1) it is a Western Boundary Upwelling System located near the Equator and 2) upwelling affects the moisture responsible for monsoon rainfall. The intensity of Somali coastal upwelling during summer was projected for the twenty first century by means of an ensemble of Global Climate Models and Regional Climate Models within the framework of CMIP5 and CORDEX projects, respectively. Regardless global or regional circulation models and the chosen greenhouse warming scenario, the strengthening of Somali coastal upwelling, which increases with latitude, is even higher than observed for the Eastern Boundary Upwelling System. In addition, coastal upwelling strengthening is mainly due to Ekman transport since Ekman pumping shows no clear trend for most of the latitudes. Projected land-sea air temperature and pressure show a clear intensification of land-sea thermal and pressure gradient as a consequence of the global warming, which is likely to affect the strengthening of Somali upwelling verifying the hypothesis of Bakun. As a consequence, projected sea surface temperature warming is less intense nearshore than at oceanic locations, especially at latitudes where upwelling strengthening is more intense. PMID:27440455

  18. How will Somali coastal upwelling evolve under future warming scenarios?

    NASA Astrophysics Data System (ADS)

    Decastro, M.; Sousa, M. C.; Santos, F.; Dias, J. M.; Gómez-Gesteira, M.

    2016-07-01

    Somali upwelling system, the fifth in the world, presents some unique features compared with the other major upwelling systems: 1) it is a Western Boundary Upwelling System located near the Equator and 2) upwelling affects the moisture responsible for monsoon rainfall. The intensity of Somali coastal upwelling during summer was projected for the twenty first century by means of an ensemble of Global Climate Models and Regional Climate Models within the framework of CMIP5 and CORDEX projects, respectively. Regardless global or regional circulation models and the chosen greenhouse warming scenario, the strengthening of Somali coastal upwelling, which increases with latitude, is even higher than observed for the Eastern Boundary Upwelling System. In addition, coastal upwelling strengthening is mainly due to Ekman transport since Ekman pumping shows no clear trend for most of the latitudes. Projected land-sea air temperature and pressure show a clear intensification of land-sea thermal and pressure gradient as a consequence of the global warming, which is likely to affect the strengthening of Somali upwelling verifying the hypothesis of Bakun. As a consequence, projected sea surface temperature warming is less intense nearshore than at oceanic locations, especially at latitudes where upwelling strengthening is more intense.

  19. Emissions from international shipping: 2. Impact of future technologies on scenarios until 2050

    NASA Astrophysics Data System (ADS)

    Eyring, V.; KöHler, H. W.; Lauer, A.; Lemper, B.

    2005-09-01

    In this study the today's fleet-average emission factors of the most important ship exhausts are used to calculate emission scenarios for the future. To develop plausible future technology scenarios, first upcoming regulations and compliance with future regulations through technological improvements are discussed. We present geographically resolved emission inventory scenarios until 2050, based on a mid-term prognosis for 2020 and a long-term prognosis for 2050. The scenarios are based on some very strict assumptions on future ship traffic demands and technological improvements. The four future ship traffic demand scenarios are mainly determined by the economic growth, which follows the IPCC SRES storylines. The resulting fuel consumption is projected through extrapolations of historical trends in economic growth, total seaborne trade and number of ships, as well as the average installed power per ship. For the future technology scenarios we assume a diesel-only fleet in 2020 resulting in fuel consumption between 382 and 409 million metric tons (Mt). For 2050 one technology scenario assumes that 25% of the fuel consumed by a diesel-only fleet can be saved by applying future alternative propulsion plants, resulting in a fuel consumption that varies between 402 and 543 Mt. The other scenario is a business-as-usual scenario for a diesel-only fleet even in 2050 and gives an estimate between 536 and 725 Mt. Dependent on how rapid technology improvements for diesel engines are introduced, possible technology reduction factors are applied to the today's fleet-average emission factors of all important species to estimate future ship emissions. Combining the four traffic demand scenarios with the four technology scenarios, our results suggest emissions between 8.8 and 25.0 Tg (NO2) in 2020, and between 3.1 to 38.8 Tg (NO2) in 2050. The development of forecast scenarios for CO2, NOx, SOx, CO, hydrocarbons, and particulate matter is driven by the requirements for global model

  20. An error model for GCM precipitation and temperature simulations

    NASA Astrophysics Data System (ADS)

    Sharma, A.; Woldemeskel, F.; Mehrotra, R.; Sivakumar, B.

    2012-04-01

    Water resources assessments for future climates require meaningful simulations of likely precipitation and evaporation for simulation of flow and derived quantities of interest. The current approach for making such assessments involve using simulations from one or a handful of General Circulation Models (GCMs), for usually one assumed future greenhouse gas emission scenario, deriving associated flows and the planning or design attributes required, and using these as the basis of any planning or design that is needed. An assumption that is implicit in this approach is that the single or multiple simulations being considered are representative of what is likely to occur in the future. Is this a reasonable assumption to make and use in designing future water resources infrastructure? Is the uncertainty in the simulations captured through this process a real reflection of the likely uncertainty, even though a handful of GCMs are considered? Can one, instead, develop a measure of this uncertainty for a given GCM simulation for all variables in space and time, and use this information as the basis of water resources planning (similar to using "input uncertainty" in rainfall-runoff modelling)? These are some of the questions we address in course of this presentation. We present here a new basis for assigning a measure of uncertainty to GCM simulations of precipitation and temperature. Unlike other alternatives which assess overall GCM uncertainty, our approach leads to a unique measure of uncertainty in the variable of interest for each simulated value in space and time. We refer to this as an error model of GCM precipitation and temperature simulations, to allow a complete assessment of the merits or demerits associated with future infrastructure options being considered, or mitigation plans being devised. The presented error model quantifies the error variance of GCM monthly precipitation and temperature, and reports it as the Square Root Error Variance (SREV

  1. Future Scenarios for Plant Virus Pathogens as Climate Change Progresses.

    PubMed

    Jones, R A C

    2016-01-01

    Knowledge of how climate change is likely to influence future virus disease epidemics in cultivated plants and natural vegetation is of great importance to both global food security and natural ecosystems. However, obtaining such knowledge is hampered by the complex effects of climate alterations on the behavior of diverse types of vectors and the ease by which previously unknown viruses can emerge. A review written in 2011 provided a comprehensive analysis of available data on the effects of climate change on virus disease epidemics worldwide. This review summarizes its findings and those of two earlier climate change reviews and focuses on describing research published on the subject since 2011. It describes the likely effects of the full range of direct and indirect climate change parameters on hosts, viruses and vectors, virus control prospects, and the many information gaps and deficiencies. Recently, there has been encouraging progress in understanding the likely effects of some climate change parameters, especially over the effects of elevated CO2, temperature, and rainfall-related parameters, upon a small number of important plant viruses and several key insect vectors, especially aphids. However, much more research needs to be done to prepare for an era of (i) increasingly severe virus epidemics and (ii) increasing difficulties in controlling them, so as to mitigate their detrimental effects on future global food security and plant biodiversity. PMID:27112281

  2. Development and Application of Future Climate Scenarios for Natural Resource Management in Southwestern Colorado

    NASA Astrophysics Data System (ADS)

    Rangwala, I.; Rondeau, R.; Wyborn, C.; Clifford, K. R.; Travis, W.

    2015-12-01

    Locally relevant projections of climate change provide critical insights for natural resource managers seeking to adapt their management activities to climate change in the context of uncertainty. To provide such information, we developed climate scenarios, in form of narratives and quantitative information, of future climate change and its impacts in southwestern Colorado. This information was intended to provide detailed insights into the range of changes that natural resource managers may face in the future. The scenarios were developed in an iterative process through interactions among the ecologists, social and climate scientists. In our scenario development process, climate uncertainty is acknowledged by having multiple scenarios, where each scenario is regarded as a storyline with equal likelihood as another scenario. We quantified changes in several decision relevant climate and ecological responses based on our best available understanding and provided a tight storyline for each scenario to facilitate (a) a more augmented use of scientific information in a decision-making process, (b) differential responses from stakeholders across the different scenarios, and (c) identification of strategies that could work across these multiple scenarios. Here, we discuss the process of selecting the scenarios, quantifying climate and ecological responses, and the criteria for building the narrative for each scenario. We also discuss the process by which these scenarios get used, and provide an assessment of their effectiveness and users' feedbacks that could inform the future development of these tools and processes. This research involvement and collaboration occurred, in part, as a result of the PACE Fellowship Program that is associated with NOAA Climate Program Office and the U.S. CLIVAR community.

  3. Anaesthesia in underdeveloped world: Present scenario and future challenges.

    PubMed

    Bharati, Sachidanand Jee; Chowdhury, Tumul; Gupta, Nishkarsh; Schaller, Bernhard; Cappellani, Ronald B; Maguire, Doug

    2014-01-01

    The overall mortality and morbidity in underdeveloped countries are still unchanged and preventable risks factors constitute the main burden. Among these, anaesthesia-related mortality is largely preventable. Various contributory factors related to human resources, technical resources, education/teaching system and other utilities needs further attention in poor income group countries. Therefore, we have made an attempt to address all these issues in this educational article and have given special reference to those factors that might gain importance in (near) future. Proper understanding of anaesthesia-related resources, their overall impact on health care system and their improvisation methods should be thoroughly evaluated for providing safer anaesthesia care in these countries which would certainly direct better outcome and consequently influence mortality. PMID:24970961

  4. Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania

    NASA Astrophysics Data System (ADS)

    Malek, Žiga; Boerboom, Luc; Glade, Thomas

    2015-11-01

    This study focuses on future forest cover change in Buzau Subcarpathians, a landslide prone region in Romania. Past and current trends suggest that the area might expect a future increase in deforestation. We developed spatially explicit scenarios until 2040 to analyze the spatial pattern of future forest cover change and potential changes to landslide risk. First, we generated transition probability maps using the weights of evidence method, followed by a cellular automata allocation model. We performed expert interviews, to develop two future forest management scenarios. The Alternative scenario (ALT) was defined by 67 % more deforestation than the Business as Usual scenario (BAU). We integrated the simulated scenarios with a landslide susceptibility map. In both scenarios, most of deforestation was projected in areas where landslides are less likely to occur. Still, 483 (ALT) and 276 (BAU) ha of deforestation were projected on areas with a high-landslide occurrence likelihood. Thus, deforestation could lead to a local-scale increase in landslide risk, in particular near or adjacent to forestry roads. The parallel process of near 10 % forest expansion until 2040 was projected to occur mostly on areas with high-landslide susceptibility. On a regional scale, forest expansion could so result in improved slope stability. We modeled two additional scenarios with an implemented landslide risk policy, excluding high-risk zones. The reduction of deforestation on high-risk areas was achieved without a drastic decrease in the accessibility of the areas. Together with forest expansion, it could therefore be used as a risk reduction strategy.

  5. Global river nutrient export: A scenario analysis of past and future trends

    NASA Astrophysics Data System (ADS)

    Seitzinger, S. P.; Mayorga, E.; Bouwman, A. F.; Kroeze, C.; Beusen, A. H. W.; Billen, G.; van Drecht, G.; Dumont, E.; Fekete, B. M.; Garnier, J.; Harrison, J. A.

    2010-12-01

    An integrated modeling approach was used to connect socioeconomic factors and nutrient management to river export of nitrogen, phosphorus, silica and carbon based on an updated Global NEWS model. Past trends (1970-2000) and four future scenarios were analyzed. Differences among the scenarios for nutrient management in agriculture were a key factor affecting the magnitude and direction of change of future DIN river export. In contrast, connectivity and level of sewage treatment and P detergent use were more important for differences in DIP river export. Global particulate nutrient export was calculated to decrease for all scenarios, in part due to increases in dams for hydropower. Small changes in dissolved silica and dissolved organics were calculated for all scenarios at the global scale. Population changes were an important underlying factor for river export of all nutrients in all scenarios. Substantial regional differences were calculated for all nutrient elements and forms. South Asia alone accounted for over half of the global increase in DIN and DIP river export between 1970 and 2000 and in the subsequent 30 years under the Global Orchestration scenario (globally connected with reactive approach to environmental problems); DIN river export decreased in the Adapting Mosaic (globally connected with proactive approach) scenario by 2030, although DIP continued to increase. Risks for coastal eutrophication will likely continue to increase in many world regions for the foreseeable future due to both increases in magnitude and changes in nutrient ratios in river export.

  6. The implications of future building scenarios for long-term building energy research and development

    SciTech Connect

    Flynn, W.T.

    1986-12-01

    This report presents a discussion of alternative future scenarios of the building environment to the year 2010 and assesses the implications these scenarios present for long-term building energy R and D. The scenarios and energy R and D implications derived from them are intended to serve as the basis from which a strategic plan can be developed for the management of R and D programs conducted by the Office of Buildings and Community Systems, US Department of Energy. The scenarios and analysis presented here have relevance not only for government R and D programs; on the contrary, it is hoped that the results of this effort will be of interest and useful to researchers in both private and public sector organizations that deal with building energy R and D. Making R and D decisions today based on an analysis that attempts to delineate the nexus of events 25 years in the future are clearly decisions made in the face of uncertainty. Yet, the effective management of R and D programs requires a future-directed understanding of markets, technological developments, and environmental factors, as well as their interactions. The analysis presented in this report is designed to serve that need. Although the probability of any particular scenario actually occurring is uncertain, the scenarios to be presented are sufficiently robust to set bounds within which to examine the interaction of forces that will shape the future building environment.

  7. Assessment of Folsom Lake response to historical and potential future climate scenarios

    USGS Publications Warehouse

    Yao, Huaming; Georgakakos, Aris P.

    2000-01-01

    An integrated forecast-decision system for Folsom Lake (California) is developed and used to assess the sensitivity of reservoir performance to various forecast-management schemes under historical and future climate scenarios. The assessments are based on various combinations of inflow forecasting models, decision rules, and climate scenarios and demonstrate that (1) reliable inflow forecasts and adaptive decision systems can substantially benefit reservoir performance and (2) dynamic operational procedures represent effective climate change coping strategies.

  8. Future Water-Supply Scenarios, Cape May County, New Jersey, 2003-2050

    USGS Publications Warehouse

    Lacombe, Pierre J.; Carleton, Glen B.; Pope, Daryll A.; Rice, Donald E.

    2009-01-01

    Stewards of the water supply in New Jersey are interested in developing a plan to supply potable and non-potable water to residents and businesses of Cape May County until at least 2050. The ideal plan would meet projected demands and minimize adverse effects on currently used sources of potable, non-potable, and ecological water supplies. This report documents past and projected potable, non-potable, and ecological water-supply demands. Past and ongoing adverse effects to production and domestic wells caused by withdrawals include saltwater intrusion and water-level declines in the freshwater aquifers. Adverse effects on the ecological water supplies caused by groundwater withdrawals include premature drying of seasonal wetlands, delayed recovery of water levels in the water-table aquifer, and reduced streamflow. To predict the effects of future actions on the water supplies, three baseline and six future scenarios were created and simulated. Baseline Scenarios 1, 2, and 3 represent withdrawals using existing wells projected until 2050. Baseline Scenario 1 represents average 1998-2003 withdrawals, and Scenario 2 represents New Jersey Department of Environmental Protection (NJDEP) full allocation withdrawals. These withdrawals do not meet projected future water demands. Baseline Scenario 3 represents the estimated full build-out water demands. Results of simulations of the three baseline scenarios indicate that saltwater would intrude into the Cohansey aquifer as much as 7,100 feet (ft) to adversely affect production wells used by Lower Township and the Wildwoods, as well as some other near-shore domestic wells; water-level altitudes in the Atlantic City 800-foot sand would decline to -156 ft; base flow in streams would be depleted by 0 to 26 percent; and water levels in the water-table aquifer would decline as much as 0.7ft. [Specific water-level altitudes, land-surface altitudes, and present sea level when used in this report are referenced to the North American

  9. Analysis of Future Streamflow Regimes under Global Change Scenarios in Central Chile for Ecosystem Sustainability

    NASA Astrophysics Data System (ADS)

    Henriquez Dole, L. E.; Gironas, J. A.; Vicuna, S.

    2015-12-01

    Given the critical role of the streamflow regime for ecosystem sustainability, modeling long term effects of climate change and land use change on streamflow is important to predict possible impacts in stream ecosystems. Because flow duration curves are largely used to characterize the streamflow regime and define indices of ecosystem health, they were used to represent and analyze in this study the stream regime in the Maipo River Basin in Central Chile. Water and Environmental Assessment and Planning (WEAP) model and the Plant Growth Model (PGM) were used to simulate water distribution, consumption in rural areas and stream flows on a weekly basis. Historical data (1990-2014), future land use scenarios (2030/2050) and climate change scenarios were included in the process. Historical data show a declining trend in flows mainly by unprecedented climatic conditions, increasing interest among users on future streamflow scenarios. In the future, under an expected decline in water availability coupled with changes in crop water demand, water users will be forced to adapt by changing water allocation rules. Such adaptation actions would in turns affect the streamflow regime. Future scenarios for streamflow regime show dramatic changes in water availability and temporal distribution. Annual weekly mean flows can reduce in 19% in the worst scenario and increase in 3.3% in the best of them, and variability in streamflow increases nearly 90% in all scenarios under evaluation. The occurrence of maximum and minimum monthly flows changes, as June instead of July becomes the driest month, and December instead of January becomes the month with maximum flows. Overall, results show that under future scenarios streamflow is affected and altered by water allocation rules to satisfy water demands, and thus decisions will need to consider the streamflow regime (and habitat) in order to be sustainable.

  10. Long-term land use future scenarios for the Idaho National Engineering Laboratory

    SciTech Connect

    1995-08-01

    In order to facilitate decision regarding environmental restoration activities at the Idaho National Engineering Laboratory (INEL), the United States Department of Energy, Idaho Operations Office (DOE-ID) conducted analyses to project reasonable future land use scenarios at the INEL for the next 100 years. The methodology for generating these scenarios included: review of existing DOE plans, policy statements, and mission statements pertaining to the INEL; review of surrounding land use characteristics and county developments policies; solicitation of input from local, county, state and federal planners, policy specialists, environmental professionals, and elected officials; and review of environmental and development constraints at the INEL site that could influence future land use.

  11. Assessment of Climate Projections Using Ensembles of CMIP5 GCMs and Developing a Probable Future Scenario for Evaluation of Possible Future Changes

    NASA Astrophysics Data System (ADS)

    Ahmadalipour, A.; Rana, A.; Moradkhani, H.

    2014-12-01

    Global climatic change is expected to have severe effects on natural systems along with various socio-economic aspects of human life. Global Climate Models (GCMs) are widely used to study the impacts in future, with varied projections/simulations from the entire participating member GCMs. This has urged scientific communities across the world try to improve the understandings of future climate conditions, and reduce the uncertainties associated with them. In the present study, we have used various multi-modelling methods, both deterministic and probabilistic, to reduce the model uncertainties, in historical time period of 1970-2000. The analysis is performed for uncertainty bounds of precipitation and temperature using 10 selected Global Climate Models (GCMs) from Climate Model Inter-comparison project Phase 5 (CMIP5) dataset over 10 sub-basins of Columbia River Basin (CRB). All the multi-modelling methods are applied and evaluated in accordance to their performance indicator using Taylor diagrams on simulating past climate for all 10 sub-basins. The best performing multi-model method, on basis of performance of all the climatic parameters, is chosen for a particular sub-basin and same is used to develop a probable future scenario for the period of 2010-2099. All the analysis and computations are performed on statistically downscaled GCM data to increase the accuracy and better capture the uncertainty bounds on sub-basin scale, as well as enhancing the ability of multi-modeling techniques. All the future time series are used to assess the uncertainties of climatic parameters for climate change analysis. Results have brought insight into each of the multi-modelling techniques i.e. highlighting the pros and cons of all the applied methods. It was also inferred that multi-modelling techniques varied from basin to basin and with different variables, as per their capabilities to capture the observation spread/uncertainty. Eventually, the different ensemble time series

  12. Future Forest Cover Change Scenarios with Implications for Landslide Risk: An Example from Buzau Subcarpathians, Romania.

    PubMed

    Malek, Žiga; Boerboom, Luc; Glade, Thomas

    2015-11-01

    This study focuses on future forest cover change in Buzau Subcarpathians, a landslide prone region in Romania. Past and current trends suggest that the area might expect a future increase in deforestation. We developed spatially explicit scenarios until 2040 to analyze the spatial pattern of future forest cover change and potential changes to landslide risk. First, we generated transition probability maps using the weights of evidence method, followed by a cellular automata allocation model. We performed expert interviews, to develop two future forest management scenarios. The Alternative scenario (ALT) was defined by 67% more deforestation than the Business as Usual scenario (BAU). We integrated the simulated scenarios with a landslide susceptibility map. In both scenarios, most of deforestation was projected in areas where landslides are less likely to occur. Still, 483 (ALT) and 276 (BAU) ha of deforestation were projected on areas with a high-landslide occurrence likelihood. Thus, deforestation could lead to a local-scale increase in landslide risk, in particular near or adjacent to forestry roads. The parallel process of near 10% forest expansion until 2040 was projected to occur mostly on areas with high-landslide susceptibility. On a regional scale, forest expansion could so result in improved slope stability. We modeled two additional scenarios with an implemented landslide risk policy, excluding high-risk zones. The reduction of deforestation on high-risk areas was achieved without a drastic decrease in the accessibility of the areas. Together with forest expansion, it could therefore be used as a risk reduction strategy. PMID:26122632

  13. Biodiversity consequences of alternative future land use scenarios in Greater Yellowstone.

    PubMed

    Gude, Patricia H; Hansen, Andrew J; Jones, Danielle A

    2007-06-01

    Land use is rapidly expanding in the Greater Yellowstone Ecosystem, primarily from growth in the number of rural homes. There is a need to project possible future land use and assess impacts on nature reserves as a guide to future management. We assessed the potential biodiversity impacts of alternative future land use scenarios in the Greater Yellowstone Ecosystem. An existing regression-based simulation model was used to project three alternative scenarios of future rural home development. The spatial patterns of forecasted development were then compared to several biodiversity response variables that included cover types, species habitats, and biodiversity indices. We identified the four biodiversity responses most at risk of exurban development, designed growth management policies to protect these areas, and tested their effectiveness in two alternative future scenarios. We found that the measured biodiversity responses, including riparian habitat, elk winter range, migration corridors, and eight other land cover, habitat, and biodiversity indices, are likely to undergo substantial conversion (between 5% and 40%) to exurban development by 2020. Future habitat conversion to exurban development outside the region's nature reserves is likely to impact wildlife populations within the reserves. Existing growth management policies will provide minimal protection to biodiversity in this region. We identified specific growth management policies, including incentives to cluster future growth near towns, that can protect "at risk" habitat types without limiting overall growth in housing. PMID:17555214

  14. Future Education: Learning the Future. Scenarios and Strategies in Europe. CEDEFOP Reference Series.

    ERIC Educational Resources Information Center

    van Wieringen, Fons; Sellin, Burkart; Schmidt, Ghislaine

    Five research institutes covering five European Union (EU) member states and five Central and Eastern European countries participated in a scenario project designed to improve understanding of vocational education and training (VET) systems in their economic-technological, employment-labor, and training-knowledge environments. The participating…

  15. Predicted Megafire Locations under Future Climate Scenarios in the Contiguous United States

    NASA Astrophysics Data System (ADS)

    Lorentz, K. A.; Drury, S.; Raffuse, S. M.; Larkin, N. K.

    2014-12-01

    Over the past several years, large high-intensity wildfires, or "megafires," have set records for the greatest burn area and most costly fires in several U.S. states. Megafires can release many tons of fine particles and other pollutants that are hazardous to human health over a short period of time. Under future climate scenarios, megafires may increase in some regions. The danger of smoke exposure from megafires in the future depends on several spatial factors, including the likelihood of megafire occurrence, emission rates, air transport patterns, and population density. We combined climatological transport modeling, smoke emission rates, and population density to determine the areas within the U.S. where a megafire would result in the greatest human exposure to smoke. Coupled with a synthesis of recent studies on the likelihood of megafire occurrence under future climate scenarios, these results provide a view of future smoke management and emergency response needs.

  16. Development of Future Scenario Emission Inventories for East Asia in Support of Multiple Modeling Studies

    NASA Astrophysics Data System (ADS)

    Kim, Y.; Woo, J. H.; Choi, K. C.; Lee, J. B.; Song, C. K.; Kim, S. K.; Hong, J.; Hong, S. C.; Zhang, Q.; Hong, C.; Tong, D.

    2015-12-01

    Future emission scenarios based on up-to-date regional socio-economic and control policy information were developed in support of climate-air quality integrated modeling research over East Asia. Two IPCC-participated Integrated Assessment Models(IAMs) were used to developed those scenario pathways. The two emission processing systems, KU-EPS and SMOKE-Asia, were used to convert these future scenario emissions to comprehensive chemical transport model-ready form. The NIER/KU-CREATE (Comprehensive Regional Emissions inventory for Atmospheric Transport Experiment) served as the regional base-year emission inventory. For anthropogenic emissions, it has 54 fuel classes, 201 sub-sectors and 13 pollutants, including CO2, CH4, N2O, SO2, NOx, CO, NMVOC, NH3, OC, BC, PM10, PM2.5, and mercury. Fast energy growth and aggressive penetration of the control measures make emissions projection very active for East Asia. Despite of more stringent air pollution control policies by the governments, however, air quality over the region seems not been improved as much - even worse in many cases. The needs of more scientific understanding of inter-relationship among emissions, transport, chemistry over the region are very high to effectively protect public health and ecosystems against ozone, fine particles, and other toxic pollutants in the air. After developing these long-term future emissions, therefore, we also tried to apply our future scenarios to develop the present emissions inventory for chemical weather forecasting and aircraft field campaign. On site, we will present; 1) the future scenario development framework and process methodologies, 2) initial development results of the future emission pathways, 3) present emission inventories from short-term projection, and 4) air quality modeling performance improvements over the region.

  17. Use of Future Scenarios as a Pedagogical Approach for Science Teacher Education

    NASA Astrophysics Data System (ADS)

    Paige, Kathryn; Lloyd, David

    2016-04-01

    Futures studies is usually a transdisciplinary study and as such embraces the physical world of the sciences and system sciences and the subjective world of individuals and cultures, as well as the time dimension—past, present and futures. Science education, where student interests, opportunities and challenges often manifest themselves, can provide a suitable entry point for futures work. In this paper, we describe how we have used futures themes, concepts and techniques both implicitly and explicitly in our undergraduate middle school teacher education courses and, in particular, science curriculum and general studies courses. Taking a critical orientation to the past and the present in these courses enables the future to be more than a mere reproduction of the status quo and opens up a range of possible futures in the areas of current interest. For example, having studied middle school teaching and learning in mathematics and science, students explore the past, present and possible future of a natural part of a university campus. In a general studies course on the science of the Earth's atmosphere, students construct a normative futures scenario on living in a changing climate. One way to gain insight into an uncertain future is to construct scenarios. This technique has been used since the 1970s to bring issues of environment and development—areas with strong science content—to the attention of both scientists and policymakers.

  18. Use of Future Scenarios as a Pedagogical Approach for Science Teacher Education

    NASA Astrophysics Data System (ADS)

    Paige, Kathryn; Lloyd, David

    2016-02-01

    Futures studies is usually a transdisciplinary study and as such embraces the physical world of the sciences and system sciences and the subjective world of individuals and cultures, as well as the time dimension—past, present and futures. Science education, where student interests, opportunities and challenges often manifest themselves, can provide a suitable entry point for futures work. In this paper, we describe how we have used futures themes, concepts and techniques both implicitly and explicitly in our undergraduate middle school teacher education courses and, in particular, science curriculum and general studies courses. Taking a critical orientation to the past and the present in these courses enables the future to be more than a mere reproduction of the status quo and opens up a range of possible futures in the areas of current interest. For example, having studied middle school teaching and learning in mathematics and science, students explore the past, present and possible future of a natural part of a university campus. In a general studies course on the science of the Earth's atmosphere, students construct a normative futures scenario on living in a changing climate. One way to gain insight into an uncertain future is to construct scenarios. This technique has been used since the 1970s to bring issues of environment and development—areas with strong science content—to the attention of both scientists and policymakers.

  19. Three Educational Scenarios for the Future: Lessons from the Sociology of Knowledge

    ERIC Educational Resources Information Center

    Young, Michael; Muller, Johan

    2010-01-01

    This article draws on social realist approaches in the sociology of knowledge and in light of them constructs three scenarios for the future of education in the next decades. The primary focus of the article is on one of the most crucial questions facing educational policy makers--the relationship between school and everyday or common sense…

  20. The Olympia Proceedings. Section V: Synthesis of the Scenarios. The Future: A Context for Present Planning.

    ERIC Educational Resources Information Center

    Cardon, Bartell W.

    1982-01-01

    As structures for effective future planning in school psychology, Olympia conference participants built scenarios of world, national, societal, and educational conditions for the 1980s, 1990s and the first decade of the twenty-first century. Possible changes in school psychology's role and nature are projected for each decade. (CM)

  1. HYDROLOGIC MODEL UNCERTAINTY ASSOCIATED WITH SIMULATING FUTURE LAND-COVER/USE SCENARIOS: A RETROSPECTIVE ANALYSIS

    EPA Science Inventory

    GIS-based hydrologic modeling offers a convenient means of assessing the impacts associated with land-cover/use change for environmental planning efforts. Alternative future scenarios can be used as input to hydrologic models and compared with existing conditions to evaluate pot...

  2. Lessons From the Future: ICT Scenarios and the Education of Teachers

    ERIC Educational Resources Information Center

    Williams, Peter

    2005-01-01

    This paper reviews significant events of the last 25 years in schools and teacher education in England and looks ahead to the next 25 years. Various scenarios for the future are examined and the potential is considered for new forms of teachers' initial education and continuing professional development using information and communications…

  3. Multi-path transportation futures study : vehicle characterization and scenario analyses.

    SciTech Connect

    Plotkin, S. E.; Singh, M. K.; Energy Systems; TA Engineering; ORNL

    2009-12-03

    Projecting the future role of advanced drivetrains and fuels in the light vehicle market is inherently difficult, given the uncertainty (and likely volatility) of future oil prices, inadequate understanding of likely consumer response to new technologies, the relative infancy of several important new technologies with inevitable future changes in their performance and costs, and the importance - and uncertainty - of future government marketplace interventions (e.g., new regulatory standards or vehicle purchase incentives). This Multi-Path Transportation Futures (MP) Study has attempted to improve our understanding of this future role by examining several scenarios of vehicle costs, fuel prices, government subsidies, and other key factors. These are projections, not forecasts, in that they try to answer a series of 'what if' questions without assigning probabilities to most of the basic assumptions.

  4. Top pair production at a future e + e - machine in a composite Higgs scenario

    NASA Astrophysics Data System (ADS)

    Barducci, D.; De Curtis, S.; Moretti, S.; Pruna, G. M.

    2015-08-01

    The top quark plays a central role in many New Physics scenarios and in understanding the details of Electro-Weak Symmetry Breaking. In the short- and mid-term future, top-quark studies will mainly be driven by the experiments at the Large Hadron Collider. Exploration of top quarks will, however, be an integral part of particle physics studies at any future facility and an e + e - collider will have a very comprehensive top-quark physics program. We discuss the possibilities of testing NP in the top-quark sector within a composite Higgs scenario through deviations from the Standard Model in top pair production for different Centre-of-Mass energy options of a future e + e - machine. In particular, we focus on precision studies of the top-quark sector at a CM energy ranging from 370 GeV up to 3 TeV.

  5. Future reef decalcification under a business-as-usual CO2 emission scenario

    PubMed Central

    Dove, Sophie G.; Kline, David I.; Pantos, Olga; Angly, Florent E.; Tyson, Gene W.; Hoegh-Guldberg, Ove

    2013-01-01

    Increasing atmospheric partial pressure of CO2 (pCO2) is a major threat to coral reefs, but some argue that the threat is mitigated by factors such as the variability in the response of coral calcification to acidification, differences in bleaching susceptibility, and the potential for rapid adaptation to anthropogenic warming. However the evidence for these mitigating factors tends to involve experimental studies on corals, as opposed to coral reefs, and rarely includes the influence of multiple variables (e.g., temperature and acidification) within regimes that include diurnal and seasonal variability. Here, we demonstrate that the inclusion of all these factors results in the decalcification of patch-reefs under business-as-usual scenarios and reduced, although positive, calcification under reduced-emission scenarios. Primary productivity was found to remain constant across all scenarios, despite significant bleaching and coral mortality under both future scenarios. Daylight calcification decreased and nocturnal decalcification increased sharply from the preindustrial and control conditions to the future scenarios of low (reduced emissions) and high (business-as-usual) increases in pCO2. These changes coincided with deeply negative carbonate budgets, a shift toward smaller carbonate sediments, and an increase in the abundance of sediment microbes under the business-as-usual emission scenario. Experimental coral reefs demonstrated highest net calcification rates and lowest rates of coral mortality under preindustrial conditions, suggesting that reef processes may not have been able to keep pace with the relatively minor environmental changes that have occurred during the last century. Taken together, our results have serious implications for the future of coral reefs under business-as-usual environmental changes projected for the coming decades and century. PMID:24003127

  6. Future reef decalcification under a business-as-usual CO2 emission scenario.

    PubMed

    Dove, Sophie G; Kline, David I; Pantos, Olga; Angly, Florent E; Tyson, Gene W; Hoegh-Guldberg, Ove

    2013-09-17

    Increasing atmospheric partial pressure of CO2 (pCO2) is a major threat to coral reefs, but some argue that the threat is mitigated by factors such as the variability in the response of coral calcification to acidification, differences in bleaching susceptibility, and the potential for rapid adaptation to anthropogenic warming. However the evidence for these mitigating factors tends to involve experimental studies on corals, as opposed to coral reefs, and rarely includes the influence of multiple variables (e.g., temperature and acidification) within regimes that include diurnal and seasonal variability. Here, we demonstrate that the inclusion of all these factors results in the decalcification of patch-reefs under business-as-usual scenarios and reduced, although positive, calcification under reduced-emission scenarios. Primary productivity was found to remain constant across all scenarios, despite significant bleaching and coral mortality under both future scenarios. Daylight calcification decreased and nocturnal decalcification increased sharply from the preindustrial and control conditions to the future scenarios of low (reduced emissions) and high (business-as-usual) increases in pCO2. These changes coincided with deeply negative carbonate budgets, a shift toward smaller carbonate sediments, and an increase in the abundance of sediment microbes under the business-as-usual emission scenario. Experimental coral reefs demonstrated highest net calcification rates and lowest rates of coral mortality under preindustrial conditions, suggesting that reef processes may not have been able to keep pace with the relatively minor environmental changes that have occurred during the last century. Taken together, our results have serious implications for the future of coral reefs under business-as-usual environmental changes projected for the coming decades and century. PMID:24003127

  7. Future changes in precipitation of the baiu season under RCP scenarios

    NASA Astrophysics Data System (ADS)

    Okada, Y.; Takemi, T.; Ishikawa, H.

    2014-12-01

    Recently, the relationship between global warming and rainfall during the rainy season, which called the baiu in Japan, has been attracting attention in association with heavy rainfall in this period. In the Innovative Program of Climate Change Projection for the 21st Century, many studies show a delay in the northward march of the baiu front, and significant increase of daily precipitation amounts around western Japan during the late baiu season (e.g., Kusunoki et al. 2011, Kanada et al. 2012). The future climate experiment in these studies was performed under the IPCC SRES A1B scenarios for global warming conditions. In this study, we discuss the future changes in precipitation using calculated 60km-mesh model (MRI-AGCM3.2H) under Representative Concentration Pathways (RCP) scenarios. Support of this dataset is provided by the Meteorological Research Institute (MRI). These dataset are calculated by setting the Yoshimura (YS) scheme mainly.Seasonal progression of future precipitation generally indicates the northward in RCP2.6 and 4.5 scenarios, around western Japan. In RCP6.0 scenario, precipitation intensity is weak compared to the other scenarios. RCP8.5 scenario is calculated by setting three different cumulus schemes (YS, Arakawa-Schubert (AS), and Kain-Fritsch (KF) schemes). RCP8.5 configured in YS scheme showed that the rainband associated with the baiu front is not clear. Moreover, peak is remarkable during late June. In AS scheme, the precipitation area stagnates around 30 N until August. And it in KF scheme shows gradual northward migration.This work was conducted under the Program for Risk Information on Climate Change supported by the Ministry of Education, Culture, Sports, Science, and Technology-Japan (MEXT).

  8. Robust Performance of Marginal Pacific Coral Reef Habitats in Future Climate Scenarios

    PubMed Central

    Freeman, Lauren A.

    2015-01-01

    Coral reef ecosystems are under dual threat from climate change. Increasing sea surface temperatures and thermal stress create environmental limits at low latitudes, and decreasing aragonite saturation state creates environmental limits at high latitudes. This study examines the response of unique coral reef habitats to climate change in the remote Pacific, using the National Center for Atmospheric Research Community Earth System Model version 1 alongside the species distribution algorithm Maxent. Narrow ranges of physico-chemical variables are used to define unique coral habitats and their performance is tested in future climate scenarios. General loss of coral reef habitat is expected in future climate scenarios and has been shown in previous studies. This study found exactly that for most of the predominant physico-chemical environments. However, certain coral reef habitats considered marginal today at high latitude, along the equator and in the eastern tropical Pacific were found to be quite robust in climate change scenarios. Furthermore, an environmental coral reef refuge previously identified in the central south Pacific near French Polynesia was further reinforced. Studying the response of specific habitats showed that the prevailing conditions of this refuge during the 20th century shift to a new set of conditions, more characteristic of higher latitude coral reefs in the 20th century, in future climate scenarios projected to 2100. PMID:26053439

  9. Robust Performance of Marginal Pacific Coral Reef Habitats in Future Climate Scenarios.

    PubMed

    Freeman, Lauren A

    2015-01-01

    Coral reef ecosystems are under dual threat from climate change. Increasing sea surface temperatures and thermal stress create environmental limits at low latitudes, and decreasing aragonite saturation state creates environmental limits at high latitudes. This study examines the response of unique coral reef habitats to climate change in the remote Pacific, using the National Center for Atmospheric Research Community Earth System Model version 1 alongside the species distribution algorithm Maxent. Narrow ranges of physico-chemical variables are used to define unique coral habitats and their performance is tested in future climate scenarios. General loss of coral reef habitat is expected in future climate scenarios and has been shown in previous studies. This study found exactly that for most of the predominant physico-chemical environments. However, certain coral reef habitats considered marginal today at high latitude, along the equator and in the eastern tropical Pacific were found to be quite robust in climate change scenarios. Furthermore, an environmental coral reef refuge previously identified in the central south Pacific near French Polynesia was further reinforced. Studying the response of specific habitats showed that the prevailing conditions of this refuge during the 20th century shift to a new set of conditions, more characteristic of higher latitude coral reefs in the 20th century, in future climate scenarios projected to 2100. PMID:26053439

  10. Future drought scenarios for the Greater Alpine Region based on dynamical downscaling experiments.

    NASA Astrophysics Data System (ADS)

    Haslinger, Klaus; Anders, Ivonne; Schöner, Wolfgang

    2014-05-01

    Large scale droughts have major ecologic, agricultural, economic as well as societal impacts by reducing crop yield, producing low flows in river systems or by limiting the public water supply. Under the perspective of rising temperatures and possibly altered precipitation regimes in the upcoming decades due to global climate change, we accomplish an assessment of future drought characteristics for the Greater Alpine Region (GAR) with regional climate model simulations. This study consists of two parts: First, the ability of the Regional Climate Model COSMO-CLM (CCLM) to simulate drought conditions in the past in space and time is evaluated. Second, an analysis of future drought scenarios for the GAR is conducted. As a drought index the Standardized Precipitation Evapotranspiration Index (SPEI) is used. For the evaluation of the Regional Climate Model in the past, simulations driven by ERA-40 are compared to observations. The gridded observational datasets of the HISTALP-database are used for evaluation in the first place. To assess the skill of CCLM, correlation coefficients between the SPEI of model simulations and gridded observations stratified by seasons and time scales are accomplished. For the analysis of future changes in the drought characteristics, four scenario runs are investigated. These are ECHAM5 and HadCM3 driven CCLM runs for the SRES scenarios A1B, A2 and B1. The SPEI is calculated spanning both the C20 and the scenario runs and are therefore regarded as transient simulations. Generally, trends to dryer annual mean conditions are apparent in each of the scenario runs, whereas the signal is rather strong in summer, contradicted by winter which shows a slight increase in precipitation north of the Alps. This in turn leads to higher variability of the SPEI in the future, as differences between winter (wetter or no change) and summer (considerably dryer) grow larger.

  11. Developing scenarios to assess future landslide risks: a model-based approach applied to mountainous regions

    NASA Astrophysics Data System (ADS)

    Vacquie, Laure; Houet, Thomas

    2016-04-01

    In the last century, European mountain landscapes have experienced significant transformations. Natural and anthropogenic changes, climate changes, touristic and industrial development, socio-economic interactions, and their implications in terms of LUCC (land use and land cover changes) have directly influenced the spatial organization and vulnerability of mountain landscapes. This study is conducted as part of the SAMCO project founded by the French National Science Agency (ANR). It aims at developing a methodological approach, combining various tools, modelling platforms and methods, to identify vulnerable regions to landslide hazards accounting for futures LUCC. It presents an integrated approach combining participative scenarios and a LULC changes simulation models to assess the combined effects of LUCC and climate change on landslide risks in the Cauterets valley (French Pyrenees Mountains) up to 2100. Through vulnerability and risk mapping, the objective is to gather information to support landscape planning and implement land use strategies with local stakeholders for risk management. Four contrasting scenarios are developed and exhibit contrasting trajectories of socio-economic development. Prospective scenarios are based on national and international socio-economic contexts relying on existing assessment reports. The methodological approach integrates knowledge from local stakeholders to refine each scenario during their construction and to reinforce their plausibility and relevance by accounting for local specificities, e.g. logging and pastoral activities, touristic development, urban planning, etc. A process-based model, the Forecasting Scenarios for Mountains (ForeSceM) model, developed on the Dinamica Ego modelling platform is used to spatially allocate futures LUCC for each prospective scenario. Concurrently, a spatial decision support tool, i.e. the SYLVACCESS model, is used to identify accessible areas for forestry in scenario projecting logging

  12. Contributions to uncertainty in projections of future drought under climate change scenarios

    NASA Astrophysics Data System (ADS)

    Taylor, I. H.; Burke, E.; McColl, L.; Falloon, P.; Harris, G. R.; McNeall, D.

    2012-11-01

    Drought is a cumulative event, often difficult to define and involving wide reaching consequences for agriculture, ecosystems, water availability, and society. Understanding how the occurrence of drought may change in the future and which sources of uncertainty are dominant can inform appropriate decisions to guide drought impacts assessments. Uncertainties in future projections of drought arise from several sources and our aim is to understand how these sources of uncertainty contribute to future projections of drought. We consider four sources of uncertainty; climate model uncertainty associated with future climate projections, future emissions of greenhouse gases (future scenario uncertainty), type of drought (drought index uncertainty) and drought event definition (threshold uncertainty). Three drought indices (the Standardised Precipitation Index (SPI), Soil Moisture Anomaly (SMA) and Palmer Drought Severity Index (PDSI)) are calculated for the A1B and RCP2.6 future emissions scenarios using monthly model output from a 57 member perturbed parameter ensemble of climate simulations of the HadCM3C Earth system model, for the baseline period, 1961-1990, and the period 2070-2099 (representing the 2080s). We consider where there are significant increases or decreases in the proportion of time spent in drought in the 2080s compared to the baseline and compare the effects from the four sources of uncertainty. Our results suggest that, of the included uncertainty sources, choice of drought index is the most important factor influencing uncertainty in future projections of drought (60%-85% of total included uncertainty). There is a greater range of uncertainty between drought indices than that between the mitigation scenario RCP2.6 and the A1B emissions scenario (5%-6% in the 2050s to 17%-18% in the 2080s) and across the different model variants in the ensemble (9%-17%). Choice of drought threshold has the least influence on uncertainty in future drought projections (0

  13. Future scenarios of soil water availability at managed grassland ecosystems in the Austrian Alps

    NASA Astrophysics Data System (ADS)

    Hammerle, Albin; Calanca, Pierluigi; Themessl, Matthias; Gobiet, Andreas; Wohlfahrt, Georg

    2014-05-01

    Available soil water is a major constraint for numerous ecosystem functions and is likely to be considerably affected by projected shifts in temperature and precipitation. Quantifying likely future changes in soil water content is therefore essential for assessing impacts of climate change on ecosystem functions. We present a data fusion approach addressing changes in soil water content of temperate grasslands in the Austrian Alps under future climate scenarios. We use a simple soil bucket model, characterized by an efficient structure and minimal requirements regarding meteorological inputs (solar radiation, precipitation and air temperature). The model is therefore suitable for the analysis of a wide range of ecological datasets. Model parameter were constrained by up to three different datasets (soil water content, evapotranspiration and snow water equivalent) using a Bayesian inversion scheme. Given a repository of data collected at ten sites in the Eastern Alps as well as a set of downscaled and error corrected (quantile mapping) regional climate scenarios, developed for the years 1961 - 2050 with 5 different regional/global climate models (CNRMRM, AITCCLM, KNMIRACMO, DMIHIRHAM, ETHZCLM) we simulated soil water content conditions under these future climate scenarios. Despite the simple model structure calibrated model runs do show a very good performance at the majority of investigated sites. Results show that if any trend can be found, the investigated ecosystems tend to higher soil water contents on average, associated with a distinct decrease in snow cover duration under future climate conditions. Regardless of these average trends some climate models cause an increasing frequency and a longer duration of extreme dry soil water conditions under future climate scenarios.

  14. The Next 25 Years?: Future Scenarios and Future Directions for Education and Technology

    ERIC Educational Resources Information Center

    Facer, K.; Sandford, R.

    2010-01-01

    The educational technology research field has been at the heart of debates about the future of education for the last quarter century. This paper explores the socio-technical developments that the next 25 years might bring and the implications of such developments for educators and for educational technology research. The paper begins by outlining…

  15. Conjunctive management of surface and groundwater resources under projected future climate change scenarios

    DOE PAGESBeta

    Mani, Amir; Tsai, Frank T. -C.; Kao, Shih-Chieh; Naz, Bibi S.; Ashfaq, Moetasim; Rastogi, Deeksha

    2016-06-16

    Our study introduces a mixed integer linear fractional programming (MILFP) method to optimize conjunctive use of future surface water and groundwater resources under projected climate change scenarios. The conjunctive management model maximizes the ratio of groundwater usage to reservoir water usage. Future inflows to the reservoirs were estimated from the future runoffs projected through hydroclimate modeling considering the Variable Infiltration Capacity model, and 11 sets of downscaled Coupled Model Intercomparison Project phase 5 global climate model projections. Bayesian model averaging was adopted to quantify uncertainty in future runoff projections and reservoir inflow projections due to uncertain future climate projections. Optimizedmore » conjunctive management solutions were investigated for a water supply network in northern Louisiana which includes the Sparta aquifer. Runoff projections under climate change scenarios indicate that runoff will likely decrease in winter and increase in other seasons. Ultimately, results from the developed conjunctive management model with MILFP indicate that the future reservoir water, even at 2.5% low inflow cumulative probability level, could counterbalance groundwater pumping reduction to satisfy demands while improving the Sparta aquifer through conditional groundwater head constraint.« less

  16. Conjunctive management of surface and groundwater resources under projected future climate change scenarios

    SciTech Connect

    Mani, Amir; Tsai, Frank T.-C.; Kao, Shih-Chieh; Ashfaq, Moetasim; Rastogi, Deeksha

    2016-01-01

    This study introduces a mixed integer linear fractional programming (MILFP) method to optimize conjunctive use of future surface water and groundwater resources under projected climate change scenarios. The conjunctive management model maximizes the ratio of groundwater usage to reservoir water usage. Future inflows to the reservoirs were estimated from the future runoffs projected through hydroclimate modeling considering the Variable Infiltration Capacity model, and 11 sets of downscaled Coupled Model Intercomparison Project phase 5 global climate model projections. Bayesian model averaging was adopted to quantify uncertainty in future runoff projections and reservoir inflow projections due to uncertain future climate projections. Optimized conjunctive management solutions were investigated for a water supply network in northern Louisiana which includes the Sparta aquifer. Runoff projections under climate change scenarios indicate that runoff will likely decrease in winter and increase in other seasons. Results from the developed conjunctive management model with MILFP indicate that the future reservoir water, even at 2.5% low inflow cumulative probability level, could counterbalance groundwater pumping reduction to satisfy demands while improving the Sparta aquifer through conditional groundwater head constraint.

  17. Conjunctive management of surface and groundwater resources under projected future climate change scenarios

    NASA Astrophysics Data System (ADS)

    Mani, Amir; Tsai, Frank T.-C.; Kao, Shih-Chieh; Naz, Bibi S.; Ashfaq, Moetasim; Rastogi, Deeksha

    2016-09-01

    This study introduces a mixed integer linear fractional programming (MILFP) method to optimize conjunctive use of future surface water and groundwater resources under projected climate change scenarios. The conjunctive management model maximizes the ratio of groundwater usage to reservoir water usage. Future inflows to the reservoirs were estimated from the future runoffs projected through hydroclimate modeling considering the Variable Infiltration Capacity model, and 11 sets of downscaled Coupled Model Intercomparison Project phase 5 global climate model projections. Bayesian model averaging was adopted to quantify uncertainty in future runoff projections and reservoir inflow projections due to uncertain future climate projections. Optimized conjunctive management solutions were investigated for a water supply network in northern Louisiana which includes the Sparta aquifer. Runoff projections under climate change scenarios indicate that runoff will likely decrease in winter and increase in other seasons. Results from the developed conjunctive management model with MILFP indicate that the future reservoir water, even at 2.5% low inflow cumulative probability level, could counterbalance groundwater pumping reduction to satisfy demands while improving the Sparta aquifer through conditional groundwater head constraints.

  18. Development of flood regressions and climate change scenarios to explore estimates of future peak flows

    USGS Publications Warehouse

    Burns, Douglas A.; Smith, Martyn J.; Freehafer, Douglas A.

    2015-01-01

    The application uses predictions of future annual precipitation from five climate models and two future greenhouse gas emissions scenarios and provides results that are averaged over three future periods—2025 to 2049, 2050 to 2074, and 2075 to 2099. Results are presented in ensemble form as the mean, median, maximum, and minimum values among the five climate models for each greenhouse gas emissions scenario and period. These predictions of future annual precipitation are substituted into either the precipitation variable or a water balance equation for runoff to calculate potential future peak flows. This application is intended to be used only as an exploratory tool because (1) the regression equations on which the application is based have not been adequately tested outside the range of the current climate and (2) forecasting future precipitation with climate models and downscaling these results to a fine spatial resolution have a high degree of uncertainty. This report includes a discussion of the assumptions, uncertainties, and appropriate use of this exploratory application.

  19. Accounting for radiative forcing from albedo change in future global land-use scenarios

    SciTech Connect

    Jones, Andrew D.; Calvin, Katherine V.; Collins, William D.; Edmonds, James A.

    2015-08-01

    We demonstrate the effectiveness of a new method for quantifying radiative forcing from land use and land cover change (LULCC) within an integrated assessment model, the Global Change Assessment Model (GCAM). The method relies on geographically differentiated estimates of radiative forcing from albedo change associated with major land cover transitions derived from the Community Earth System Model. We find that conversion of 1 km² of woody vegetation (forest and shrublands) to non-woody vegetation (crops and grassland) yields between 0 and –0.71 nW/m² of globally averaged radiative forcing determined by the vegetation characteristics, snow dynamics, and atmospheric radiation environment characteristic within each of 151 regions we consider globally. Across a set of scenarios designed to span a range of potential future LULCC, we find LULCC forcing ranging from –0.06 to –0.29 W/m² by 2070 depending on assumptions regarding future crop yield growth and whether climate policy favors afforestation or bioenergy crops. Inclusion of this previously uncounted forcing in the policy targets driving future climate mitigation efforts leads to changes in fossil fuel emissions on the order of 1.5 PgC/yr by 2070 for a climate forcing limit of 4.5 Wm–2, corresponding to a 12–67 % change in fossil fuel emissions depending on the scenario. Scenarios with significant afforestation must compensate for albedo-induced warming through additional emissions reductions, and scenarios with significant deforestation need not mitigate as aggressively due to albedo-induced cooling. In all scenarios considered, inclusion of albedo forcing in policy targets increases forest and shrub cover globally.

  20. Scenarios of Future Water use on Mediterranean Islands based on an Integrated Assessment of Water Management

    NASA Astrophysics Data System (ADS)

    Lange, M. A.

    2006-12-01

    The availability of water in sufficient quantities and adequate quality presents considerable problems on Mediterranean islands. Because of their isolation and thus the impossibility to draw on more distant or more divers aquifers, they rely entirely on precipitation as natural replenishing mechanism. Recent observations indicate decreasing precipitation, increasing evaporation and steadily growing demand for water on the islands. Future climate change will exacerbate this problem, thus increasing the already pertinent vulnerability to droughts. Responsible planning of water management strategies requires scenarios of future supply and demand through an integrated assessment including climate scenarios based on regional climate modeling as well as scenarios on changes in societal and economical determinants of water demand. Constructing such strategies necessitates a thorough understanding about the interdependencies and feedbacks between physical/hydrological and socio-economic determinants of water balances on an island. This has to be based on a solid understanding of past and present developments of these drivers. In the framework of the EU-funded MEDIS project (Towards sustainable water use on Mediterranean Islands: addressing conflicting demands and varying hydrological, social and economic conditions, EVK1-CT-2001-00092), detailed investigations on present vulnerabilities and adaptation strategies to droughts have been carried out on Mallorca, Corsica, Sicily, Crete and Cyprus. This was based on an interdisciplinary study design including hydrological, geophysical, agricultural-, social and political sciences investigations. A central element of the study has been the close interaction with stakeholders on the islands and their contribution to strategy formulation. An important result has been a specification of vulnerability components including: a physical/environmental-, an economical/regulatory- and a social/institutional/political component. Their

  1. Integrated impacts of future electricity mix scenarios on select southeastern US water resources

    NASA Astrophysics Data System (ADS)

    Yates, D.; Meldrum, J.; Flores-Lopez, F.; Davis, Michelle

    2013-09-01

    Recent studies on the relationship between thermoelectric cooling and water resources have been made at coarse geographic resolution and do not adequately evaluate the localized water impacts on specific rivers and water bodies. We present the application of an integrated electricity generation-water resources planning model of the Apalachicola/Chattahoochee/Flint (ACF) and Alabama-Coosa-Tallapoosa (ACT) rivers based on the regional energy deployment system (ReEDS) and the water evaluation and planning (WEAP) system. A future scenario that includes a growing population and warmer, drier regional climate shows that benefits from a low-carbon, electricity fuel-mix could help maintain river temperatures below once-through coal-plants. These impacts are shown to be localized, as the cumulative impacts of different electric fuel-mix scenarios are muted in this relatively water-rich region, even in a warmer and drier future climate.

  2. Nowhere to Invade: Rumex crispus and Typha latifolia Projected to Disappear under Future Climate Scenarios

    PubMed Central

    Xu, Zhonglin; Feng, Zhaodong; Yang, Jianjun; Zheng, Jianghua; Zhang, Fang

    2013-01-01

    Future climate change has been predicted to affect the potential distribution of plant species. However, only few studies have addressed how invasive species may respond to future climate change despite the known effects of plant species invasion on nutrient cycles, ecosystem functions, and agricultural yields. In this study, we predicted the potential distributions of two invasive species, Rumex crispus and Typha latifolia, under current and future (2050) climatic conditions. Future climate scenarios considered in our study include A1B, A2, A2A, B1, and B2A. We found that these two species will lose their habitat under the A1B, A2, A2A, and B1 scenarios. Their distributions will be maintained under future climatic conditions related to B2A scenarios, but the total area will be less than 10% of that under the current climatic condition. We also investigated variations of the most influential climatic variables that are likely to cause habitat loss of the two species. Our results demonstrate that rising mean annual temperature, variations of the coldest quarter, and precipitation of the coldest quarter are the main factors contributing to habitat loss of R. crispus. For T. latifolia, the main factors are rising mean annual temperature, variations in temperature of the coldest quarter, mean annual precipitation, and precipitation of the coldest quarter. These results demonstrate that the warmer and wetter climatic conditions of the coldest season (or month) will be mainly responsible for habitat loss of R. crispus and T. latifolia in the future. We also discuss uncertainties related to our study (and similar studies) and suggest that particular attention should be directed toward the manner in which invasive species cope with rapid climate changes because evolutionary change can be rapid for species that invade new areas. PMID:23923020

  3. Nowhere to invade: Rumex crispus and Typha latifolia projected to disappear under future climate scenarios.

    PubMed

    Xu, Zhonglin; Feng, Zhaodong; Yang, Jianjun; Zheng, Jianghua; Zhang, Fang

    2013-01-01

    Future climate change has been predicted to affect the potential distribution of plant species. However, only few studies have addressed how invasive species may respond to future climate change despite the known effects of plant species invasion on nutrient cycles, ecosystem functions, and agricultural yields. In this study, we predicted the potential distributions of two invasive species, Rumex crispus and Typha latifolia, under current and future (2050) climatic conditions. Future climate scenarios considered in our study include A1B, A2, A2A, B1, and B2A. We found that these two species will lose their habitat under the A1B, A2, A2A, and B1 scenarios. Their distributions will be maintained under future climatic conditions related to B2A scenarios, but the total area will be less than 10% of that under the current climatic condition. We also investigated variations of the most influential climatic variables that are likely to cause habitat loss of the two species. Our results demonstrate that rising mean annual temperature, variations of the coldest quarter, and precipitation of the coldest quarter are the main factors contributing to habitat loss of R. crispus. For T. latifolia, the main factors are rising mean annual temperature, variations in temperature of the coldest quarter, mean annual precipitation, and precipitation of the coldest quarter. These results demonstrate that the warmer and wetter climatic conditions of the coldest season (or month) will be mainly responsible for habitat loss of R. crispus and T. latifolia in the future. We also discuss uncertainties related to our study (and similar studies) and suggest that particular attention should be directed toward the manner in which invasive species cope with rapid climate changes because evolutionary change can be rapid for species that invade new areas. PMID:23923020

  4. Decadal-timescale estuarine geomorphic change under future scenarios of climate and sediment supply

    USGS Publications Warehouse

    Ganju, N.K.; Schoellhamer, D.H.

    2010-01-01

    Future estuarine geomorphic change, in response to climate change, sea-level rise, and watershed sediment supply, may govern ecological function, navigation, and water quality. We estimated geomorphic changes in Suisun Bay, CA, under four scenarios using a tidal-timescale hydrodynamic/sediment transport model. Computational expense and data needs were reduced using the morphological hydrograph concept and the morphological acceleration factor. The four scenarios included (1) present-day conditions; (2) sea-level rise and freshwater flow changes of 2030; (3) sea-level rise and decreased watershed sediment supply of 2030; and (4) sea-level rise, freshwater flow changes, and decreased watershed sediment supply of 2030. Sea-level rise increased water levels thereby reducing wave-induced bottom shear stress and sediment redistribution during the wind-wave season. Decreased watershed sediment supply reduced net deposition within the estuary, while minor changes in freshwater flow timing and magnitude induced the smallest overall effect. In all future scenarios, net deposition in the entire estuary and in the shallowest areas did not keep pace with sea-level rise, suggesting that intertidal and wetland areas may struggle to maintain elevation. Tidal-timescale simulations using future conditions were also used to infer changes in optical depth: though sea-level rise acts to decrease mean light irradiance, decreased suspended-sediment concentrations increase irradiance, yielding small changes in optical depth. The modeling results also assisted with the development of a dimensionless estuarine geomorphic number representing the ratio of potential sediment import forces to sediment export forces; we found the number to be linearly related to relative geomorphic change in Suisun Bay. The methods implemented here are widely applicable to evaluating future scenarios of estuarine change over decadal timescales. ?? The Author(s) 2009.

  5. Determining agricultural land use scenarios in a mesoscale Bavarian watershed for modelling future water quality

    NASA Astrophysics Data System (ADS)

    Mehdi, B. B.; Ludwig, R.; Lehner, B.

    2012-06-01

    Land use scenarios are of primordial importance when implementing a hydrological model for the purpose of determining the future quality of water in a watershed. This paper provides the background for researching potential agricultural land use changes that may take place in a mesoscale watershed, for water quality research, and describes why studying the farm scale is important. An on-going study in Bavaria examining the local drivers of change in land use is described.

  6. Scenario of the impact of a future climate change on world food production

    SciTech Connect

    Schware, R; Kellogg, W W

    1980-01-01

    In order to study implications of a future CO/sub 2/-induced climatic change, plausible long-term changes of patterns of temperature and rainfall must be devised. One such scenario is presented, showing regions that may be wetter or drier than now in a future warmer climate. This information was combined with data on world food productivity to show some crops that could be affected by climate-induced changes in soil moisture. Assumptions made when preparing the map of possible changes in soil moisture are discussed. (JGB)

  7. Climate services for energy production: are regional climate models reliable for future solar power generation scenarios?

    NASA Astrophysics Data System (ADS)

    Petitta, Marcello; Castelli, Mariapina; Calmanti, Sandro

    2013-04-01

    In this study we present an analysis of surface solar radiation from Regional Climate Models (RCMs) scenario simulations produced during the ENSEMBLES project in order to understand the relation between changes in atmospheric properties and variation of the energy produced by solar power plants. Several studies have recently pointed out the inability and the scarce accuracy of IPCC models in capturing the past decadal variability of Surface Solar Radiation (SSR) (Wild 2009, Wild et al 2010). Most of these works compare observed and estimated SSR for the last 6-7 decades and show that only half of the models are able to reproduce partially the observed decrease (global dimming) and the increase (global brightening) in SSR which occurred respectively in the time intervals 1950-1980 and 1990-2000. We focus on the Euro-Mediterranean area and we compare the SSR data for the period 1951-2000 in order to assess the error associated to the model ensemble. Furthermore we analyze the XXI century regional ENSEMBLES scenarios in order to quantify potential future changes of SSR. The preliminary results obtained so far confirm the findings of Wild et al. for the period 1950-2000. For the future, the analysis shows a positive linear trend over the Mediterranean region. On the other hand, most of the models predict a negative linear trend over Central Europe. We also discuss future energy strategies considering the variability of energy production from solar panels estimated by probabilistic climate change scenarios.

  8. Regionally Differentiated Scenarios of Future Albedo Forcing from Anthropogenic Land Cover Change

    NASA Astrophysics Data System (ADS)

    Jones, A. D.; Calvin, K. V.; Collins, W.; Edmonds, J.

    2014-12-01

    Using the Community Earth System Model (CESM), we develop geographically differentiated estimates of radiative forcing from albedo change associated with major land cover transitions across 151 regions globally. The regions are formed through the intersectrion of 18 agro-ecological zones with 15 geo-political units, and correspond to the agricultural and land-use decision regions utilized by the Global Change Assessment Model (GCAM). Incorporating these forcing factors into GCAM allows us to calculate total radiative forcing associated with alternative scenarios of future anthropogenic land cover change. We find that conversion of 1 km2 of woody vegetation (forest and shrublands) to non-woody vegetation (crops and grassland) yields between 0 to -0.71 nW/m2 of globally averaged radiative forcing, depending on regional vegetation characteristics, snow dynamics, and atmospheric radiation environments. Across a set of scenarios designed to span a range of potential future anthropogenic landcover change, we find albedo forcing ranging from -0.05 to -0.25 W/m2 by 2070. The scenarios vary in terms of assumptions regarding future crop yield growth and climate policies, which could favor either afforestation or bioenergy crops. This range of forcing is similar in magnitude to central estimates for present-day forcing from historical land cover change and to several other forcing agents including nitrous oxide.

  9. Transportation Energy Futures Series: Freight Transportation Modal Shares: Scenarios for a Low-Carbon Future

    SciTech Connect

    Brogan, J. J.; Aeppli, A. E.; Beagan, D. F.; Brown, A.; Fischer, M. J.; Grenzeback, L. R.; McKenzie, E.; Vimmerstedt, L.; Vyas, A. D.; Witzke, E.

    2013-03-01

    Truck, rail, water, air, and pipeline modes each serve a distinct share of the freight transportation market. The current allocation of freight by mode is the product of technologic, economic, and regulatory frameworks, and a variety of factors -- price, speed, reliability, accessibility, visibility, security, and safety -- influence mode. Based on a comprehensive literature review, this report considers how analytical methods can be used to project future modal shares and offers insights on federal policy decisions with the potential to prompt shifts to energy-efficient, low-emission modes. There are substantial opportunities to reduce the energy used for freight transportation, but it will be difficult to shift large volumes from one mode to another without imposing considerable additional costs on businesses and consumers. This report explores federal government actions that could help trigger the shifts in modal shares needed to reduce energy consumption and emissions. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

  10. Changes in future air quality, deposition, and aerosol-cloud interactions under future climate and emission scenarios

    NASA Astrophysics Data System (ADS)

    Glotfelty, Timothy; Zhang, Yang; Karamchandani, Prakash; Streets, David G.

    2016-08-01

    The prospect of global climate change will have wide scale impacts, such as ecological stress and human health hazards. One aspect of concern is future changes in air quality that will result from changes in both meteorological forcing and air pollutant emissions. In this study, the GU-WRF/Chem model is employed to simulate the impact of changing climate and emissions following the IPCC AR4 SRES A1B scenario. An average of 4 future years (2020, 2030, 2040, and 2050) is compared against an average of 2 current years (2001 and 2010). Under this scenario, by the Mid-21st century global air quality is projected to degrade with a global average increase of 2.5 ppb in the maximum 8-hr O3 level and of 0.3 μg m-3 in 24-hr average PM2.5. However, PM2.5 changes are more regional due to regional variations in primary aerosol emissions and emissions of gaseous precursor for secondary PM2.5. Increasing NOx emissions in this scenario combines with a wetter climate elevating levels of OH, HO2, H2O2, and the nitrate radical and increasing the atmosphere's near surface oxidation state. This differs from findings under the RCP scenarios that experience declines in OH from reduced NOx emissions, stratospheric recovery of O3, and increases in CH4 and VOCs. Increasing NOx and O3 levels enhances the nitrogen and O3 deposition, indicating potentially enhanced crop damage and ecosystem stress under this scenario. The enhanced global aerosol level results in enhancements in aerosol optical depth, cloud droplet number concentration, and cloud optical thickness. This leads to dimming at the Earth's surface with a global average reduction in shortwave radiation of 1.2 W m-2. This enhanced dimming leads to a more moderate warming trend and different trends in radiation than those found in NCAR's CCSM simulation, which does not include the advanced chemistry and aerosol treatment of GU-WRF/Chem and cannot simulate the impacts of changing climate and emissions with the same level of detailed

  11. New land use scenarios for the Brazilian Amazonia: how to reach a sustainable future?

    NASA Astrophysics Data System (ADS)

    Aguiar, A. P. D.; Vieira, I.; Toledo, P.; Araujo, R.; Coelho, A.; Pinho, P.; Assis, T.; Dalla-Nora, E. L.; Kawakami Savaget, E.; Batistella, M.

    2014-12-01

    Following an intense deforestation process initiated in the 1960s, clear-cut deforestation rates in the Brazilian Amazon have decreased significantly since 2004. A convergence of conditions contributed to this, including the creation of protected areas, the use of effective monitoring and control systems, and credit restriction mechanisms. Although regional social indicators have also slightly improved, society remains unequal and violent, both in urban and rural areas. Furthermore, the combined results of the fall of deforestation and the increased economic importance of the agribusiness sector have led to the political weakening of the so-called socio-environmental model. Thus, the current situation indicates a future of low (clear-cut) carbon emissions and low social conditions. On the other hand, other threats remain, including forest degradation derived from illegal logging and forest fires. There is also considerable uncertainty about the fate of the remaining forest areas as multiple forces can contribute to the return of high deforestation, including the rapidly expanding global markets for agricultural commodities, large-scale transportation and energy infrastructure projects, and weak institutions. We present the results of a participatory scenario process, in which we discussed the future of the region until 2050 combining normative and exploratory approaches. We include an ideal "Sustainability" scenario (Scenario A) in which we envision major socioeconomic, institutional and environmental achievements. Scenario B stays in the "Middle of the road", in which the society maintains some of the positive environmental trends of the last decade, but not reversing the structural situation of social inequities. Scenario C is a pessimistic vision, named "Fragmentation" with high deforestation rates and low social development. The goal of the work was twofold: (a) to propose a method to enrich the discussion among different private and governmental stakeholders

  12. HASSET: a probability event tree tool to evaluate future volcanic scenarios using Bayesian inference

    NASA Astrophysics Data System (ADS)

    Sobradelo, Rosa; Bartolini, Stefania; Martí, Joan

    2014-01-01

    Event tree structures constitute one of the most useful and necessary tools in modern volcanology for assessment of hazards from future volcanic scenarios (those that culminate in an eruptive event as well as those that do not). They are particularly relevant for evaluation of long- and short-term probabilities of occurrence of possible volcanic scenarios and their potential impacts on urbanized areas. In this paper, we introduce Hazard Assessment Event Tree (HASSET), a probability tool, built on an event tree structure that uses Bayesian inference to estimate the probability of occurrence of a future volcanic scenario and to evaluate the most relevant sources of uncertainty from the corresponding volcanic system. HASSET includes hazard assessment of noneruptive and nonmagmatic volcanic scenarios, that is, episodes of unrest that do not evolve into volcanic eruption but have an associated volcanic hazard (e.g., sector collapse and phreatic explosion), as well as unrest episodes triggered by external triggers rather than the magmatic system alone. Additionally, HASSET introduces the Delta method to assess precision of the probability estimates, by reporting a 1 standard deviation variability interval around the expected value for each scenario. HASSET is presented as a free software package in the form of a plug-in for the open source geographic information system Quantum Gis (QGIS), providing a graphically supported computation of the event tree structure in an interactive and user-friendly way. We also include further in-depth explanations for each node together with an application of HASSET to Teide-Pico Viejo volcanic complex (Spain).

  13. Threats and opportunities for freshwater conservation under future land use change scenarios in the United States.

    PubMed

    Martinuzzi, Sebastián; Januchowski-Hartley, Stephanie R; Pracheil, Brenda M; McIntyre, Peter B; Plantinga, Andrew J; Lewis, David J; Radeloff, Volker C

    2014-01-01

    Freshwater ecosystems provide vital resources for humans and support high levels of biodiversity, yet are severely threatened throughout the world. The expansion of human land uses, such as urban and crop cover, typically degrades water quality and reduces freshwater biodiversity, thereby jeopardizing both biodiversity and ecosystem services. Identifying and mitigating future threats to freshwater ecosystems requires forecasting where land use changes are most likely. Our goal was to evaluate the potential consequences of future land use on freshwater ecosystems in the coterminous United States by comparing alternative scenarios of land use change (2001-2051) with current patterns of freshwater biodiversity and water quality risk. Using an econometric model, each of our land use scenarios projected greater changes in watersheds of the eastern half of the country, where freshwater ecosystems already experience higher stress from human activities. Future urban expansion emerged as a major threat in regions with high freshwater biodiversity (e.g., the Southeast) or severe water quality problems (e.g., the Midwest). Our scenarios reflecting environmentally oriented policies had some positive effects. Subsidizing afforestation for carbon sequestration reduced crop cover and increased natural vegetation in areas that are currently stressed by low water quality, while discouraging urban sprawl diminished urban expansion in areas of high biodiversity. On the other hand, we found that increases in crop commodity prices could lead to increased agricultural threats in areas of high freshwater biodiversity. Our analyses illustrate the potential for policy changes and market factors to influence future land use trends in certain regions of the country, with important consequences for freshwater ecosystems. Successful conservation of aquatic biodiversity and ecosystem services in the United States into the future will require attending to the potential threats and opportunities

  14. Scenario-development to Analyze Future Fresh Water Availability in the Yellow River Delta

    NASA Astrophysics Data System (ADS)

    Dong, Congli; van de Giesen, Nick

    2010-05-01

    The Yellow River Delta is one of the youngest alluvial plains in the world. Nowadays, fresh water availability is under stress due to several reasons. First, there is the rapidly increasing upstream water demand along the Yellow River. Second, climate change causes shifts in precipitation, temperature and evaporation. Third, land use/ land cover change has a large impact on the surface runoff and groundwater recharge in the district. Finally, other anthropogenic interventions such as irrigation, inter-basin water transfer, and artificial reservoirs affect fresh water availability directly. Scenario-development is needed to examine consequences of possible developments and to improve management through better anticipation. Therefore, possible changes in all four sets of stressors (water demand, climate change, land use, anthropogenic interventions) are systematically catalogued. To assess future fresh water availability, we present and compare two methods to link the stressors. The first way is the "storyline method", as used by, for instance, the IPCC. This method is concerned with consistency within a given scenario. Typically, this method results in a small set of equally likely scenarios, running from best to worst. The second method is complete Bayesian integration. In this method, all different development pathways are taken into account. In a simple example, we may have two stressors with only high or law values, say, high or low upstream water demand and high and low irrigation development. In this case we would have four possible pathways leading to four different scenarios. Weights, or priors, are given to each branch of each path. Covariances between stressors will be accounted for as well. The likelihoods of each scenario are then calculated by simple integrating the likelihood along each pathway. The results of both methods are compared. Key words: Fresh water availability; Scenario development; Storyline Method; Bayesian Integration

  15. Outlook of possible European contributions to future exploration scenarios and architectures

    NASA Astrophysics Data System (ADS)

    Perino, M. A.; Fenoglio, F.; Pelle, S.; Couzin, P.; Thaeter, J.; Eilingsfeld, F.; Hufenbach, B.; Bergamasco, A.

    2013-07-01

    Building upon the important experience acquired with the development of the International Space Station, the major spacefaring countries are working within the International Space Exploration Coordination Group (ISECG) at the definition of a coordinated framework for expanding the human presence beyond the Low Earth Orbit, the Global Exploration Roadmap (GER). The GER defines a long-range strategy for global exploration and include three major elements. Common goals of ISECG participating agencies for space exploration. Notional mission scenarios which are technically feasible and programmatically implementable. Two mission scenarios were defined in the 1st iteration of the GER: the "Asteroid Next" and the "Moon Next" mission scenarios. Identification of near-term opportunities for coordination and cooperation related to e.g. the development of technologies, the implementation of robotic missions to destination of interest for closing strategic knowledge gaps which need to be addressed prior to human missions as well as the utilization of ISS for demonstration of exploration enabling capabilities. In 2009 two studies have been awarded by ESA to Industrial Teams led by Thales Alenia Space—Italy and by Astrium—Germany to define, analyze and assess optional European scenarios for future human spaceflight and exploration activities, and to derive the required capabilities for the investigated timeframe until the year 2033. Work on the European scenarios has been aligned with and informed by the international work on the GER. A conceptual design of different Building Block Elements, representing critical contributions to international Design Reference Missions (DRM's) included in the ISECG GER, has been performed and analyzed with respect to programmatic risks, budgets and required technologies. Key driving requirements for the analyzed Building Block elements have been derived from the international DRM's included in the GER. The interim outcomes of the human

  16. Historical change and future scenarios of sea level rise in Macau and adjacent waters

    NASA Astrophysics Data System (ADS)

    Wang, Lin; Huang, Gang; Zhou, Wen; Chen, Wen

    2016-04-01

    Against a background of climate change, Macau is very exposed to sea level rise (SLR) because of its low elevation, small size, and ongoing land reclamation. Therefore, we evaluate sea level changes in Macau, both historical and, especially, possible future scenarios, aiming to provide knowledge and a framework to help accommodate and protect against future SLR. Sea level in Macau is now rising at an accelerated rate: 1.35 mm yr-1 over 1925-2010 and jumping to 4.2 mm yr-1 over 1970-2010, which outpaces the rise in global mean sea level. In addition, vertical land movement in Macau contributes little to local sea level change. In the future, the rate of SLR in Macau will be about 20% higher than the global average, as a consequence of a greater local warming tendency and strengthened northward winds. Specifically, the sea level is projected to rise 8-12, 22-51 and 35-118 cm by 2020, 2060 and 2100, respectively, depending on the emissions scenario and climate sensitivity. Under the +8.5 W m-2 Representative Concentration Pathway (RCP8.5) scenario the increase in sea level by 2100 will reach 65-118 cm—double that under RCP2.6. Moreover, the SLR will accelerate under RCP6.0 and RCP8.5, while remaining at a moderate and steady rate under RCP4.5 and RCP2.6. The key source of uncertainty stems from the emissions scenario and climate sensitivity, among which the discrepancies in SLR are small during the first half of the 21st century but begin to diverge thereafter.

  17. Global land cover change impacts on future climate under RCP scenarios

    NASA Astrophysics Data System (ADS)

    Weiß, Martina; van den Hurk, Bart; Haarsma, Reindeert

    2013-04-01

    Anthropogenic land-use activities have led to large-scale changes in global vegetation cover over the past century, and will probably continue in the future. This impact is potentially significant, since managed crop lands and pastures are now among the largest ecosystems on earth. Their surface parameters differ largely from those of most natural vegetations they replace.With the CMIP5 models now for the first time considering anthropogenic land cover changes as part of the coordinated climate model experiments, new means are available to quantify this impact on modelled past and future climate. In this study we analyse historical CMIP5 runs of the AOGCM EC-EARTH to assess the agreement of modelled and measured climate of the past, as well as two RCP scenarios simulations (RCP 4.5 and RCP 8.5) for the 21st century, with and without land cover changes, to identify and isolate their impact on atmospheric variables and thus possible future climates. RCP scenarios encompass different levels of re-forestation, which makes the analysis of land cover change impacts on future climates even more indispensable, since de-forestation is generally connected with cooling effects mainly due to increase in albedo, and re-forestation might therefore lead to local, yet unaccounted for warming.

  18. Modeling Future Land Use Scenarios in South Korea: Applying the IPCC Special Report on Emissions Scenarios and the SLEUTH Model on a Local Scale

    NASA Astrophysics Data System (ADS)

    Han, Haejin; Hwang, YunSeop; Ha, Sung Ryong; Kim, Byung Sik

    2015-05-01

    This study developed three scenarios of future land use/land cover on a local level for the Kyung-An River Basin and its vicinity in South Korea at a 30-m resolution based on the two scenario families of the Intergovernmental Panel on Climate Change (IPCC) Special Report Emissions Scenarios (SRES): A2 and B1, as well as a business-as-usual scenario. The IPCC SRES A2 and B1 were used to define future local development patterns and associated land use change. We quantified the population-driven demand for urban land use for each qualitative storyline and allocated the urban demand in geographic space using the SLEUTH model. The model results demonstrate the possible land use/land cover change scenarios for the years from 2000 to 2070 by examining the broad narrative of each SRES within the context of a local setting, such as the Kyoungan River Basin, constructing narratives of local development shifts and modeling a set of `best guess' approximations of the future land use conditions in the study area. This study found substantial differences in demands and patterns of land use changes among the scenarios, indicating compact development patterns under the SRES B1 compared to the rapid and dispersed development under the SRES A2.

  19. Scenarios of Future Socio-Economics, Energy, Land Use, and Radiative Forcing

    SciTech Connect

    Eom, Jiyong; Moss, Richard H.; Edmonds, James A.; Calvin, Katherine V.; Clarke, Leon E.; Dooley, James J.; Kim, Son H.; Kopp, Roberrt; Kyle, G. Page; Luckow, Patrick W.; Patel, Pralit L.; Thomson, Allison M.; Wise, Marshall A.; Zhou, Yuyu

    2013-04-13

    This chapter explores uncertainty in future scenarios of energy, land use, emissions and radiative forcing that span the range in the literature for radiative forcing, but also consider uncertainty in two other dimensions, challenges to mitigation and challenges to adaptation. We develop a set of six scenarios that we explore in detail including the underlying the context in which they are set, assumptions that drive the scenarios, the Global Change Assessment Model (GCAM), used to produce quantified implications for those assumptions, and results for the global energy and land-use systems as well as emissions, concentrations and radiative forcing. We also describe the history of scenario development and the present state of development of this branch of climate change research. We discuss the implications of alternative social, economic, demographic, and technology development possibilities, as well as potential stabilization regimes for the supply of and demand for energy, the choice of energy technologies, and prices of energy and agricultural commodities. Land use and land cover will also be discussed with the emphasis on the interaction between the demand for bioenergy and crops, crop yields, crop prices, and policy settings to limit greenhouse gas emissions.

  20. Evaluation of Future Precipitation Scenario Using Statistical Downscaling MODEL over Three Climatic Region of Nepal Himalaya

    NASA Astrophysics Data System (ADS)

    Sigdel, M.

    2014-12-01

    Statistical downscaling model (SDSM) was applied in downscaling precipitation in the three climatic regions such as humid, sub-humid and arid region of Nepal Himalaya. The study includes the calibration of the SDSM model by using large-scale atmospheric variables encompassing NCEP reanalysis data, the validation of the model and the outputs of downscaled scenarios A2 (high green house gases emission) and B2 (low green house gases emission) of the HadCM3 model for the future. Under both scenarios H3A2 and H3B2, during the prediction period of 2010-2099, the change of annual mean precipitation in the three climatic regions would present a tendency of surplus of precipitation as compared to the mean values of the base period. On the average for all three climatic regions of Nepal the annual mean precipitation would increase by about 13.75% under scenario H3A2 and increase near about 11.68% under scenario H3B2 in the 2050s. For the 2080s there would be increase of 8.28% and 13.30% under H3A2 and H3B2 respectively compared to the base period.

  1. Salmon Futures: Stakeholder-driven salmon management scenarios under changing environmental conditions on Alaska's Kenai Peninsula

    NASA Astrophysics Data System (ADS)

    Trammell, E. J.; Krupa, M.

    2015-12-01

    Understanding the adaptive capacity of individuals within natural resource management agencies is a key component of assessing the vulnerability of salmon to future environmental change. We seek to explore the adaptive capacity of natural resource agencies on Alaska's Kenai Peninsula by exploring the drivers and implications of different salmon allocation scenarios through participatory workshops with managers. We present here the initial results from the first workshop, which explores the various drivers responsible for changes in salmon allocation. Ranging from global to local, and biophysical to socioeconomic, these drivers are also linked to specific actors in the region. These complex interactions comprise the Kenai Peninsula's social-ecological system and determine its ability to react to change. Using a stakeholder-driven scenario framework, we aim to: 1) explore the adaptive capacity of natural resource agencies in the region by exploring and exposing managers to different but logically coherent salmon allocation scenarios; 2) build stakeholder confidence in the science of environmental change on the Kenai Peninsula; and 3) develop a decision support tool that helps regional resource managers better understand their changing environment. We utilize and present the scenario framework as a platform for integrating hydrologic, landscape, and cultural change information into actionable decisions, crafted by the stakeholders, so that landscape change on the Kenai becomes more coordinated.

  2. A new scenario framework for climate change research. Background, process, and future directions

    SciTech Connect

    Ebi, Kristie L.; Hallegatte, Stephane; Kram, Tom; Arnell, Nigel W.; Carter, Tim; Edmonds, James A.; Kriegler, Elmar; Mathur, Ritu; O'Neill, Brian; Riahi, Keywan; Winkler, Harald; Van Vuuren, Detlef P.; Zwickel, Timm

    2013-09-27

    The scientific community is developing new integrated global, regional, and sectoral scenarios to facilitate interdisciplinary research and assessment to explore the range of possible future climates and related physical changes could pose to human and natural systems; how these could interact with social, economic, and environmental development pathways; the degree to which mitigation and adaptation policies can avoid and reduce those risks; the costs and benefits of various policy mixes; residual impacts under alternative pathways; and the relationship with sustainable development. This paper provides the background to, and process of, developing the conceptual framework for these scenarios, described in three other papers in this Special Issue (van Vuuren et al.; O'Neill et al.; Kriegler et al.). The paper also discusses research needs to further develop and apply this framework. The goal is to encourage climate change researchers from a broad range of perspectives and disciplines to work together to develop policy-relevant scenarios and explore the implications of different possible futures for the challenges and opportunities human and natural systems could face with increasing climate change.

  3. Evolution of strategic risks under future scenarios for improved utility master plans.

    PubMed

    Luís, Ana; Lickorish, Fiona; Pollard, Simon

    2016-01-01

    Integrated, long-term risk management in the water sector is poorly developed. Whilst scenario planning has been applied to singular issues (e.g. climate change), it often misses a link to risk management because the likelihood of impacts in the long-term are frequently unaccounted for in these analyses. Here we apply the morphological approach to scenario development for a case study utility, Empresa Portuguesa das Águas Livres (EPAL). A baseline portfolio of strategic risks threatening the achievement of EPAL's corporate objectives was evolved through the lens of three future scenarios, 'water scarcity', 'financial resource scarcity' and 'strong economic growth', built on drivers such as climate, demographic, economic, regulatory and technological changes and validated through a set of expert workshops. The results represent how the baseline set of risks might develop over a 30 year period, allowing threats and opportunities to be identified and enabling strategies for master plans to be devised. We believe this to be the first combined use of risk and futures methods applied to a portfolio of strategic risks in the water utility sector. PMID:26584343

  4. Global Health Impacts of Future Aviation Emissions Under Alternative Control Scenarios

    PubMed Central

    2015-01-01

    There is strong evidence of an association between fine particulate matter less than 2.5 μm (PM2.5) in aerodynamic diameter and adverse health outcomes. This study analyzes the global excess mortality attributable to the aviation sector in the present (2006) and in the future (three 2050 scenarios) using the integrated exposure response model that was also used in the 2010 Global Burden of Disease assessment. The PM2.5 concentrations for the present and future scenarios were calculated using aviation emission inventories developed by the Volpe National Transportation Systems Center and a global chemistry-climate model. We found that while excess mortality due to the aviation sector emissions is greater in 2050 compared to 2006, improved fuel policies (technology and operations improvements yielding smaller increases in fuel burn compared to 2006, and conversion to fully sustainable fuels) in 2050 could lead to 72% fewer deaths for adults 25 years and older than a 2050 scenario with no fuel improvements. Among the four health outcomes examined, ischemic heart disease was the greatest cause of death. Our results suggest that implementation of improved fuel policies can have substantial human health benefits. PMID:25412200

  5. Beyond scenario planning: projecting the future using models at Wind Cave National Park (USA)

    NASA Astrophysics Data System (ADS)

    King, D. A.; Bachelet, D. M.; Symstad, A. J.

    2011-12-01

    Scenario planning has been used by the National Park Service as a tool for natural resource management planning in the face of climate change. Sets of plausible but divergent future scenarios are constructed from available information and expert opinion and serve as starting point to derive climate-smart management strategies. However, qualitative hypotheses about how systems would react to a particular set of conditions assumed from coarse scale climate projections may lack the scientific rigor expected from a federal agency. In an effort to better assess the range of likely futures at Wind Cave National Park, a project was conceived to 1) generate high resolution historic and future climate time series to identify local weather patterns that may or may not persist, 2) simulate the hydrological cycle in this geologically varied landscape and its response to future climate, 3) project vegetation dynamics and ensuing changes in the biogeochemical cycles given grazing and fire disturbances under new climate conditions, and 4) synthesize and compare results with those from the scenario planning exercise. In this framework, we tested a dynamic global vegetation model against local information on vegetation cover, disturbance history and stream flow to better understand the potential resilience of these ecosystems to climate change. We discuss the tradeoffs between a coarse scale application of the model showing regional trends with limited ability to project the fine scale mosaic of vegetation at Wind Cave, and a finer scale approach that can account for local slope effects on water balance and better assess the vulnerability of landscape facets, but requires more intensive data acquisition. We elaborate on the potential for sharing information between models to mitigate the often-limited treatment of biological feedbacks in the physical representations of soil and atmospheric processes.

  6. Agricultural pests under future climate conditions: downscaling of regional climate scenarios with a stochastic weather generator

    NASA Astrophysics Data System (ADS)

    Hirschi, M.; Stöckli, S.; Dubrovsky, M.; Spirig, C.; Rotach, M. W.; Calanca, P.; Samietz, J.

    2010-09-01

    As a consequence of current and projected climate change in temperate regions of Europe, agricultural pests and diseases are expected to occur more frequently and possibly to extend to previously unaffected regions. Given their economic and ecological relevance, detailed forecasting tools for various pests have been developed, which model the infestation depending on actual weather conditions. Assessing the future risk of pest-related damages therefore requires future weather data at high temporal and spatial resolution. In particular, pest forecast models are often not based on screen temperature and precipitation alone (i.e., the most generally projected climate variables), but might require input variables such as soil temperature, in-canopy net radiation or leaf wetness. Here, we use a stochastic weather and a re-sampling procedure for producing site-specific hourly weather data from regional climate change scenarios for 2050 in Switzerland. The climate change scenarios were derived from multi-model projections and provide probabilistic information on future regional changes in temperature and precipitation. Hourly temperature, precipitation and radiation data were produced by first generating daily weather data for these climate scenarios and then using a nearest neighbor re-sampling approach for creating realistic diurnal cycles. These hourly weather time series were then used for modeling important phases in the lifecycle of codling moth, the major insect pest in apple orchards worldwide. First results indicate a shift in the occurrence and duration of phases relevant for pest disease control for projected as compared to current climate (e.g. the flight of the codling moth starts about ten days earlier in future climate), continuing an already observed trend towards more favorable conditions for this insect during the last 20 years.

  7. Health burdens of surface ozone in the UK for a range of future scenarios.

    PubMed

    Heal, Mathew R; Heaviside, Clare; Doherty, Ruth M; Vieno, Massimo; Stevenson, David S; Vardoulakis, Sotiris

    2013-11-01

    Exposure to surface ozone (O3), which is influenced by emissions of precursor chemical species, meteorology and population distribution, is associated with excess mortality and respiratory morbidity. In this study, the EMEP-WRF atmospheric chemistry transport model was used to simulate surface O3 concentrations at 5km horizontal resolution over the British Isles for a baseline year of 2003, for three anthropogenic emissions scenarios for 2030, and for a +5°C increase in air temperature on the 2003 baseline. Deaths brought forward and hospitalisation burdens for 12 UK regions were calculated from population-weighted daily maximum 8-hour O3. The magnitude of changes in annual mean surface O3 over the UK for +5°C temperature (+1.0 to +1.5ppbv, depending on region) was comparable to those due to inter-annual meteorological variability (-1.5 to +1.5ppbv) but considerably less than changes due to precursor emissions changes by 2030 (-3.0 to +3.5ppbv, depending on scenario and region). Including population changes in 2030, both the 'current legislation' and 'maximum feasible reduction' scenarios yield greater O3-attributable health burdens than the 'high' emission scenario: +28%, +22%, and +16%, respectively, above 2003 baseline deaths brought forward (11,500) and respiratory hospital admissions (30,700), using O3 exposure over the full year and no threshold for health effects. The health burdens are greatest under the 'current legislation' scenario because O3 concentrations increase as a result of both increases in background O3 concentration and decreases in UK NOx emissions. For the +5°C scenario, and no threshold (and not including population increases), total UK health burden increases by 500 premature deaths (4%) relative to the 2003 baseline. If a 35ppbv threshold for O3 effects is assumed, health burdens are more sensitive to the current legislation and +5°C scenarios, although total health burdens are roughly an order of magnitude lower. In all scenarios, the

  8. Future scenarios for viticultural zoning in Europe: ensemble projections and uncertainties

    NASA Astrophysics Data System (ADS)

    Fraga, H.; Malheiro, A. C.; Moutinho-Pereira, J.; Santos, J. A.

    2013-11-01

    Optimum climate conditions for grapevine growth are limited geographically and may be further challenged by a changing climate. Due to the importance of the winemaking sector in Europe, the assessment of future scenarios for European viticulture is of foremost relevance. A 16-member ensemble of model transient experiments (generated by the ENSEMBLES project) under a greenhouse gas emission scenario and for two future periods (2011-2040 and 2041-2070) is used in assessing climate change projections for six viticultural zoning indices. After model data calibration/validation using an observational gridded daily dataset, changes in their ensemble means and inter-annual variability are discussed, also taking into account the model uncertainties. Over southern Europe, the projected warming combined with severe dryness in the growing season is expected to have detrimental impacts on the grapevine development and wine quality, requiring measures to cope with heat and water stress. Furthermore, the expected warming and the maintenance of moderately wet growing seasons over most of the central European winemaking regions may require a selection of new grapevine varieties, as well as an enhancement of pest/disease control. New winemaking regions may arise over northern Europe and high altitude areas, when considering climatic factors only. An enhanced inter-annual variability is also projected over most of Europe. All these future changes pose new challenges for the European winemaking sector.

  9. Projecting Future Heat-Related Mortality under Climate Change Scenarios: A Systematic Review

    PubMed Central

    Barnett, Adrian Gerard; Wang, Xiaoming; Vaneckova, Pavla; FitzGerald, Gerard; Tong, Shilu

    2011-01-01

    Background: Heat-related mortality is a matter of great public health concern, especially in the light of climate change. Although many studies have found associations between high temperatures and mortality, more research is needed to project the future impacts of climate change on heat-related mortality. Objectives: We conducted a systematic review of research and methods for projecting future heat-related mortality under climate change scenarios. Data sources and extraction: A literature search was conducted in August 2010, using the electronic databases PubMed, Scopus, ScienceDirect, ProQuest, and Web of Science. The search was limited to peer-reviewed journal articles published in English from January 1980 through July 2010. Data synthesis: Fourteen studies fulfilled the inclusion criteria. Most projections showed that climate change would result in a substantial increase in heat-related mortality. Projecting heat-related mortality requires understanding historical temperature–mortality relationships and considering the future changes in climate, population, and acclimatization. Further research is needed to provide a stronger theoretical framework for projections, including a better understanding of socioeconomic development, adaptation strategies, land-use patterns, air pollution, and mortality displacement. Conclusions: Scenario-based projection research will meaningfully contribute to assessing and managing the potential impacts of climate change on heat-related mortality. PMID:21816703

  10. Quantification of North American land cover change impacts on future climate under RCP scenarios

    NASA Astrophysics Data System (ADS)

    Weiss, M.; van den Hurk, B.; Haarsma, R.

    2012-12-01

    With the CMIP5 models now for the first time considering land cover changes as part of the coordinated climate model experiments, the community is keen on quantifying their impact on past and future climates. North America accommodates one of the global hot spot regions of past land cover conversion from forested to agricultural land, which has affected physical characteristics of the surface itself, e.g. albedo and vegetation characteristics, but also the exchange of heat, moisture and momentum between surface and atmosphere. In this study we analyse historical CMIP5 runs of the AOGCM EC-EARTH to assess the agreement of modelled and measured climate of the past, as well as several RCP scenario simulations for the 21st century, with and without land cover changes, to quantify land cover change impacts on possible future climates. RCP scenarios encompass different levels of re-forestation, which makes the analysis of land cover change impacts on future climates even more indispensable, since de-forestation is generally connected with cooling effects mainly due to increase in albedo, and re-forestation might therefore lead to local, yet unaccounted for warming.

  11. Future scenarios for viticultural zoning in Europe: ensemble projections and uncertainties.

    PubMed

    Fraga, H; Malheiro, A C; Moutinho-Pereira, J; Santos, J A

    2013-11-01

    Optimum climate conditions for grapevine growth are limited geographically and may be further challenged by a changing climate. Due to the importance of the winemaking sector in Europe, the assessment of future scenarios for European viticulture is of foremost relevance. A 16-member ensemble of model transient experiments (generated by the ENSEMBLES project) under a greenhouse gas emission scenario and for two future periods (2011-2040 and 2041-2070) is used in assessing climate change projections for six viticultural zoning indices. After model data calibration/validation using an observational gridded daily dataset, changes in their ensemble means and inter-annual variability are discussed, also taking into account the model uncertainties. Over southern Europe, the projected warming combined with severe dryness in the growing season is expected to have detrimental impacts on the grapevine development and wine quality, requiring measures to cope with heat and water stress. Furthermore, the expected warming and the maintenance of moderately wet growing seasons over most of the central European winemaking regions may require a selection of new grapevine varieties, as well as an enhancement of pest/disease control. New winemaking regions may arise over northern Europe and high altitude areas, when considering climatic factors only. An enhanced inter-annual variability is also projected over most of Europe. All these future changes pose new challenges for the European winemaking sector. PMID:23306774

  12. The Future of Land Use in the United States: Downscaling SRES Emission Scenarios to Ecoregions and Pixels

    NASA Astrophysics Data System (ADS)

    Sleeter, B. M.; Sohl, T. L.; Sayler, K.; Bouchard, M. A.; Reker, R.; Sleeter, R. R.; Zhu, Z.; Auch, R.; Acevedo, W.; Soulard, C. E.; Griffith, G.

    2011-12-01

    Scenario analysis has emerged as a useful tool for evaluating uncertain futures in ecological systems. We describe research initiated by the U.S. Geological Survey (USGS) to develop a comprehensive portfolio of future land-use and land-cover (LULC) scenarios for the United States. The USGS has identified LULC scenarios as a focal area of future research. Scenarios are used to assist in the understanding of possible future developments in complex systems that typically have high levels of scientific uncertainty. Scenarios generally require knowledge of history and current conditions, and specific understanding about how drivers of change have acted to influence the historical and current condition. We describe methods and results of downscaling LULC and associated narrative storylines from the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES). The downscaling methods leverage three primary sources of information: 1) comprehensive land-use histories developed through remote sensing and survey data, 2) modeled LULC outputs from global integrated assessment models (IAMs), and 3) expert knowledge of regional land change. First, national and ecoregional narrative storylines were derived from the global IPCC framework. Based on the characteristics of downscaled narrative storylines, experts used historical data and information on the rates and types of LULC change, in conjunction with coarse-scale IAM projections of land use, to produce future quantitative scenarios. An accounting model was developed to handle all aspects of scenario downscaling. Here we present the methods used to construct ecoregion-specific scenarios of LULC change consistent with the IPCC-SRES scenarios, as well as results at multiple geographic scales. The USGS LandCarbon assessment is implementing a scenario-based approach for projecting changes in LULC that may result in changes to ecosystem carbon flux and greenhouse gas (GHG) emissions. Results described

  13. Strengthening of the hydrological cycle in future scenarios: atmospheric energy and water balance perspective

    NASA Astrophysics Data System (ADS)

    Alessandri, A.; Fogli, P. G.; Vichi, M.; Zeng, N.

    2012-07-01

    Future climate scenarios experiencing global warming are expected to strengthen hydrological cycle during 21st century by comparison with the last decades of 20th century. We analyze strengthening of the global-scale increase in precipitation from the perspective of changes in whole atmospheric water and energy balances. Furthermore, by combining energy and water equations for the whole atmosphere we profitably obtain constraints for the changes in surface fluxes and for the partitioning at the surface between sensible and latent components. Above approach is applied to investigate difference in strengthening of hydrological cycle in two scenario centennial simulations performed with an Earth System model forced with specified atmospheric concentration pathways. Alongside the medium-high non-mitigation scenario SRES A1B, we considered a new aggressive-mitigation scenario (E1) with reduced fossil fuel use for energy production aimed at stabilizing global warming below 2 K. Quite unexpectedly, mitigation scenario is shown to strengthen hydrological cycle more than SRES A1B till around 2070. Our analysis shows that this is mostly a consequence of the larger increase in the negative radiative imbalance of atmosphere in E1 compared to A1B. This appears to be primarily related to the abated aerosol concentration in E1, which considerably reduces atmospheric absorption of solar radiation compared to A1B. In contrast, last decades of 21st century (21C) show marked increase of global precipitation in A1B compared to E1, despite the fact that the two scenarios display almost same overall increase of radiative imbalance with respect to 20th century. Our results show that radiative cooling is weakly effective in A1B throughout all 21C, so that two distinct mechanisms characterize the diverse strengthening of hydrological cycle in mid and end 21C. It is only through a very large perturbation of surface fluxes that A1B achieves larger increase of global precipitation in the last

  14. Experimental Design for CMIP6: Aerosol, Land Use, and Future Scenarios Final Report

    SciTech Connect

    Arnott, James

    2015-10-30

    The Aspen Global Change Institute hosted a technical science workshop entitled, “Experimental design for CMIP6: Aerosol, Land Use, and Future Scenarios,” on August 3-8, 2014 in Aspen, CO. Claudia Tebaldi (NCAR) and Brian O’Neill (NCAR) served as co-chairs for the workshop. The Organizing committee also included Dave Lawrence (NCAR), Jean-Francois Lamarque (NCAR), George Hurtt (University of Maryland), & Detlef van Vuuren (PBL Netherlands Environmental Change). The meeting included the participation of 22 scientists representing many of the major climate modeling centers for a total of 110 participant days.

  15. Future Arctic temperature change resulting from a range of aerosol emissions scenarios

    NASA Astrophysics Data System (ADS)

    Wobus, Cameron; Flanner, Mark; Sarofim, Marcus C.; Moura, Maria Cecilia P.; Smith, Steven J.

    2016-06-01

    The Arctic temperature response to emissions of aerosols -- specifically black carbon (BC), organic carbon (OC), and sulfate -- depends on both the sector and the region where these emissions originate. Thus, the net Arctic temperature response to global aerosol emissions reductions will depend strongly on the blend of emissions sources being targeted. We use recently published equilibrium Arctic temperature response factors for BC, OC, and sulfate to estimate the range of present-day and future Arctic temperature changes from seven different aerosol emissions scenarios. Globally, Arctic temperature changes calculated from all of these emissions scenarios indicate that present-day emissions from the domestic and transportation sectors generate the majority of present-day Arctic warming from BC. However, in all of these scenarios, this warming is more than offset by cooling resulting from SO2 emissions from the energy sector. Thus, long-term climate mitigation strategies that are focused on reducing carbon dioxide (CO2) emissions from the energy sector could generate short-term, aerosol-induced Arctic warming. A properly phased approach that targets BC-rich emissions from the transportation sector as well as the domestic sectors in key regions -- while simultaneously working toward longer-term goals of CO2 mitigation -- could potentially avoid some amount of short-term Arctic warming.

  16. Choosing an electrical energy future for the Pacific Northwest: an Alternative Scenario

    SciTech Connect

    Cavanagh, R.C.; Mott, L.; Beers, J.R.; Lash, T.L.

    1980-08-01

    An Alternative Scenario for the electric energy future of the Pacific Northwest is presented. The Scenario includes an analysis of each major end use of electricity in the residential, commercial, manufacturing, and agricultural sectors. This approach affords the most direct means of projecting the likely long-term growth in consumption and the opportunities for increasing the efficiency with which electricity is used in each instance. The total demand for electricity by these end uses then provides a basis for determining whether additional central station generation is required to 1995. A projection of total demand for electricity depends on the combination of many independent variables and assumptions. Thus, the approach is a resilient one; no single assumption or set of linked assumptions dominates the analysis. End-use analysis allows policymakers to visualize the benefits of alternative programs, and to make comparison with the findings of other studies. It differs from the traditional load forecasts for the Pacific Northwest, which until recently were based largely on straightforward extrapolations of historical trends in the growth of electrical demand. The Scenario addresses the supply potential of alternative energy sources. Data are compiled for 1975, 1985, and 1995 in each end-use sector.

  17. Sensitivity of the global submarine hydrate inventory to scenarios of future climate change

    NASA Astrophysics Data System (ADS)

    Hunter, S. J.; Goldobin, D. S.; Haywood, A. M.; Ridgwell, A.; Rees, J. G.

    2013-04-01

    The global submarine inventory of methane hydrate is thought to be considerable. The stability of marine hydrates is sensitive to changes in temperature and pressure and once destabilised, hydrates release methane into sediments and ocean and potentially into the atmosphere, creating a positive feedback with climate change. Here we present results from a multi-model study investigating how the methane hydrate inventory dynamically responds to different scenarios of future climate and sea level change. The results indicate that a warming-induced reduction is dominant even when assuming rather extreme rates of sea level rise (up to 20 mm yr-1) under moderate warming scenarios (RCP 4.5). Over the next century modelled hydrate dissociation is focussed in the top ˜100m of Arctic and Subarctic sediments beneath <500m water depth. Predicted dissociation rates are particularly sensitive to the modelled vertical hydrate distribution within sediments. Under the worst case business-as-usual scenario (RCP 8.5), upper estimates of resulting global sea-floor methane fluxes could exceed estimates of natural global fluxes by 2100 (>30-50TgCH4yr-1), although subsequent oxidation in the water column could reduce peak atmospheric release rates to 0.75-1.4 Tg CH4 yr-1.

  18. Assessing sediment yield for selected watersheds in the Laurentian Great Lakes Basin under future agricultural scenarios.

    PubMed

    Shao, Yang; Lunetta, Ross S; Macpherson, Alexander J; Luo, Junyan; Chen, Guo

    2013-01-01

    In the Laurentian Great Lakes Basin (GLB), corn acreage has been expanding since 2005 in response to high demand for corn as an ethanol feedstock. This study integrated remote sensing-derived products and the Soil and Water Assessment Tool (SWAT) within a geographic information system (GIS) modeling environment to assess the impacts of cropland change on sediment yield within four selected watersheds in the GLB. The SWAT models were calibrated during a 6 year period (2000-2005), and predicted stream flows were validated. The R(2) values were 0.76, 0.80, 0.72, and 0.81 for the St. Joseph River, the St. Mary River, the Peshtigo River, and the Cattaraugus Creek watersheds, respectively. The corresponding E (Nash and Sutcliffe model efficiency coefficient) values ranged from 0.24 to 0.79. The average annual sediment yields (tons/ha/year) ranged from 0.12 to 4.44 for the baseline (2000 to 2008) condition. Sediment yields were predicted to increase for possible future cropland change scenarios. The first scenario was to convert all "other" agricultural row crop types (i.e., sorghum) to corn fields and switch the current/baseline crop rotation into continuous corn. The average annual sediment yields increased 7-42 % for different watersheds. The second scenario was to further expand the corn planting to hay/pasture fields. The average annual sediment yields increased 33-127 % compared with baseline conditions. PMID:22791140

  19. Assessing Sediment Yield for Selected Watersheds in the Laurentian Great Lakes Basin Under Future Agricultural Scenarios

    NASA Astrophysics Data System (ADS)

    Shao, Yang; Lunetta, Ross S.; Macpherson, Alexander J.; Luo, Junyan; Chen, Guo

    2013-01-01

    In the Laurentian Great Lakes Basin (GLB), corn acreage has been expanding since 2005 in response to high demand for corn as an ethanol feedstock. This study integrated remote sensing-derived products and the Soil and Water Assessment Tool (SWAT) within a geographic information system (GIS) modeling environment to assess the impacts of cropland change on sediment yield within four selected watersheds in the GLB. The SWAT models were calibrated during a 6 year period (2000-2005), and predicted stream flows were validated. The R 2 values were 0.76, 0.80, 0.72, and 0.81 for the St. Joseph River, the St. Mary River, the Peshtigo River, and the Cattaraugus Creek watersheds, respectively. The corresponding E (Nash and Sutcliffe model efficiency coefficient) values ranged from 0.24 to 0.79. The average annual sediment yields (tons/ha/year) ranged from 0.12 to 4.44 for the baseline (2000 to 2008) condition. Sediment yields were predicted to increase for possible future cropland change scenarios. The first scenario was to convert all "other" agricultural row crop types (i.e., sorghum) to corn fields and switch the current/baseline crop rotation into continuous corn. The average annual sediment yields increased 7-42 % for different watersheds. The second scenario was to further expand the corn planting to hay/pasture fields. The average annual sediment yields increased 33-127 % compared with baseline conditions.

  20. Urban Growth Scenarios of a Future MEGA City: Case Study Ahmedabad

    NASA Astrophysics Data System (ADS)

    Lehner, A.; Kraus, V.; Steinnocher, K.

    2016-06-01

    The study of urban areas and their development focuses on cities, their physical and demographic expansion and the tensions and impacts that go along with urban growth. Especially in developing countries and emerging national economies like India, consistent and up to date information or other planning relevant data all too often is not available. With its Smart Cities Mission, the Indian government places great importance on the future developments of Indian urban areas and pays tribute to the large-scale rural to urban migration. The potentials of urban remote sensing and its contribution to urban planning are discussed and related to the Indian Smart Cities Mission. A case study is presented showing urban remote sensing based information products for the city of Ahmedabad. Resulting urban growth scenarios are presented, hotspots identified and future action alternatives proposed.

  1. Energy Flowchart Scenarios of Future U.S. Energy Use Incorporating Hydrogen Fueled Vehicles

    SciTech Connect

    Berry, G; Daily III, W

    2004-06-03

    This project has adapted LLNL energy flowcharts of historical U.S. energy use drawn from the DOE Energy Information Administration (EIA) data to include scenarios involving hydrogen use. A flexible automated process for preparing and drawing these flowcharts has also been developed. These charts show the flows of energy between primary sectors of the economy so that a user can quickly understand the major implications of a proposed scenario. The software can rapidly generate a spectrum of U.S. energy use scenarios in the 2005-2050 timeframe, both with and without a transition to hydrogen-fueled transportation. These scenarios indicate that fueling 100% of the light duty fleet in 2050 (318 million 80 mpg-equivalent compressed hydrogen fuel cell vehicles) will require approximately 100 million tonnes (10.7 quads) of H2/year, reducing petroleum use by at least 7.3 million barrels of oil/day (15.5 quads/yr). Linear extrapolation of EIA's 2025 reference projection to 2050 indicates approximate U.S. primary energy use of 180 quads/yr (in 2050) relative to current use of 97 quads/yr (comprising 39 quads/yr of petroleum). Full deployment of 50% efficient electricity generation technologies for coal and nuclear power and improvements in gasoline lightduty vehicle fleet fuel economy to 50 mpg would reduce projected U.S. primary energy consumption to 143 quads/yr in 2050, comprising 58 quads/yr (27 million bbl/day) of petroleum. Full deployment of H2 automobiles by 2050 could further reduce U.S. petroleum dependence to 43 quads/yr. These projections indicate that substantial steps beyond a transition to H2 light-duty vehicles will be necessary to reduce future U.S. petroleum dependence (and related greenhouse gases) below present levels. A flowchart projecting future U.S. energy flows depicting a complete transition by 2050 to compressed hydrogen light-duty vehicles is attached on the following page (corresponding to scenario 7 in the Appendix). It indicates that producing

  2. Statistical downscaling and future scenario generation of temperatures for Pakistan Region

    NASA Astrophysics Data System (ADS)

    Kazmi, Dildar Hussain; Li, Jianping; Rasul, Ghulam; Tong, Jiang; Ali, Gohar; Cheema, Sohail Babar; Liu, Luliu; Gemmer, Marco; Fischer, Thomas

    2015-04-01

    Finer climate change information on spatial scale is required for impact studies than that presently provided by global or regional climate models. It is especially true for regions like South Asia with complex topography, coastal or island locations, and the areas of highly heterogeneous land-cover. To deal with the situation, an inexpensive method (statistical downscaling) has been adopted. Statistical DownScaling Model (SDSM) employed for downscaling of daily minimum and maximum temperature data of 44 national stations for base time (1961-1990) and then the future scenarios generated up to 2099. Observed as well as Predictors (product of National Oceanic and Atmospheric Administration) data were calibrated and tested on individual/multiple basis through linear regression. Future scenario was generated based on HadCM3 daily data for A2 and B2 story lines. The downscaled data has been tested, and it has shown a relatively strong relationship with the observed in comparison to ECHAM5 data. Generally, the southern half of the country is considered vulnerable in terms of increasing temperatures, but the results of this study projects that in future, the northern belt in particular would have a possible threat of increasing tendency in air temperature. Especially, the northern areas (hosting the third largest ice reserves after the Polar Regions), an important feeding source for Indus River, are projected to be vulnerable in terms of increasing temperatures. Consequently, not only the hydro-agricultural sector but also the environmental conditions in the area may be at risk, in future.

  3. Future Diet Scenarios and Their Effect on Regional and Global Land Use

    NASA Astrophysics Data System (ADS)

    Gregg, J. S.; Hvid, A.

    2011-12-01

    Food production has been one of the most significant ways in which humans have changed the surface of the Earth. It is projected that further intensification of agriculture will be necessary to meet a growing population and the increased demand for calories from animal products. This would require substantially more land and resources devoted to animal production. However, globally, the proportion of per capita caloric intake from animal to total caloric intake has remained relatively constant for the last 50 years at slightly above 15%. Nevertheless, there are large discrepancies across regions and through time. For example, northern European countries derive over 30% of calories from animal products, while India is under 10%; between 1961 and 2007, China's per capita consumption of animal calories has increased by over a factor of ten, while in the US, animal calorie consumption has remained constant. In general, per capita consumption of animal products is lower in developing countries than in developed countries, and it is commonly assumed that future animal product consumption will increase as developing countries become wealthier. On the other hand, wealthier countries are remaining constant or even decreasing their proportional consumption of animal calories, and this could be a different way that future diets may evolve. We create different future scenarios for calorie demand from vegetal products, beef, sheep and goat, pork, poultry, and dairy based on historical national trends and estimated income elasticities for these various food products. The extreme scenarios are one in which the world evolves to a highly vegetal calorie diet and, on the other extreme, one in which the world evolves to diets with high meat consumption. Intermediate scenarios include projections of current trends and one in which the world moves to a healthy balanced diet given current recommendations. Using DTU-GCAM, and global integrated assessment model with an included land use

  4. Future Diet Scenarios and Their Effect on Regional and Global Biofuel Potential

    NASA Astrophysics Data System (ADS)

    Gregg, J.; hvid, A.

    2012-04-01

    Food production has been one of the most significant ways in which humans have changed the surface of the Earth. It is projected that further intensification of agriculture will be necessary to meet a growing population and the increased demand for calories from animal products. This would require substantially more land and resources devoted to animal production. However, globally, the proportion of per capita caloric intake from animal to total caloric intake has remained relatively constant for the last 50 years at slightly above 15%. Nevertheless, there are large discrepancies across regions and through time. For example, northern European countries derive over 30% of calories from animal products, while India is under 10%; between 1961 and 2007, China's per capita consumption of animal calories has increased by over a factor of ten, while in the US, animal calorie consumption has remained constant. In general, per capita consumption of animal products is lower in developing countries than in developed countries, and it is commonly assumed that future animal product consumption will increase as developing countries become wealthier. On the other hand, wealthier countries are remaining constant or even decreasing their proportional consumption of animal calories, and this could be a different way that future diets may evolve. We create different future scenarios for calorie demand from vegetal products, beef, sheep and goat, pork, poultry, and dairy based on historical national trends and estimated income elasticities for these various food products. The extreme scenarios are one in which the world evolves to a highly vegetal calorie diet and, on the other extreme, one in which the world evolves to diets with high meat consumption. Intermediate scenarios include projections of current trends and one in which the world moves to a healthy balanced diet given current recommendations. Using DTU-GCAM, and global integrated assessment model with an included land use

  5. Climate change in the Iberian Upwelling System: a numerical study using GCM downscaling

    NASA Astrophysics Data System (ADS)

    Cordeiro Pires, Ana; Nolasco, Rita; Rocha, Alfredo; Ramos, Alexandre M.; Dubert, Jesus

    2015-10-01

    The present work aims at evaluating the impacts of a climate change scenario on the hydrography and dynamics of the Iberian Upwelling System. Using regional ocean model configurations, the study domain is forced with three different sets of surface fields: a climatological dataset to provide the control run; a dataset obtained from averaging several global climate models (GCM) that integrate the Intergovernmental Panel for Climate Change (IPCC) models used in climate scenarios, for the same period as the climatological dataset; and this same dataset but for a future period, retrieved from the IPCC A2 climate scenario. After ascertaining that the ocean run forced with the GCM dataset for the present compared reasonably well with the climatologically forced run, the results for the future run (relative to the respective present run) show a general temperature increase (from +0.5 to +3 °C) and salinity decrease (from -0.1 to -0.3), particularly in the upper 100-200 m, although these differences depend strongly on season and distance to the coast. There is also strengthening of the SST cross-shore gradient associated to upwelling, which causes narrowing and shallowing of the upwelling jet. This effect is contrary to the meridional wind stress intensification that is also observed, which would tend to strengthen the upwelling jet.

  6. Climate change in the Iberian Upwelling System: a numerical study using GCM downscaling

    NASA Astrophysics Data System (ADS)

    Cordeiro Pires, Ana; Nolasco, Rita; Rocha, Alfredo; Ramos, Alexandre M.; Dubert, Jesus

    2016-07-01

    The present work aims at evaluating the impacts of a climate change scenario on the hydrography and dynamics of the Iberian Upwelling System. Using regional ocean model configurations, the study domain is forced with three different sets of surface fields: a climatological dataset to provide the control run; a dataset obtained from averaging several global climate models (GCM) that integrate the Intergovernmental Panel for Climate Change (IPCC) models used in climate scenarios, for the same period as the climatological dataset; and this same dataset but for a future period, retrieved from the IPCC A2 climate scenario. After ascertaining that the ocean run forced with the GCM dataset for the present compared reasonably well with the climatologically forced run, the results for the future run (relative to the respective present run) show a general temperature increase (from +0.5 to +3 °C) and salinity decrease (from -0.1 to -0.3), particularly in the upper 100-200 m, although these differences depend strongly on season and distance to the coast. There is also strengthening of the SST cross-shore gradient associated to upwelling, which causes narrowing and shallowing of the upwelling jet. This effect is contrary to the meridional wind stress intensification that is also observed, which would tend to strengthen the upwelling jet.

  7. Future Geopolitical Scenarios, Their Dominant Schools of Thought and the Impact Thereof on the Promotion of Deep Space Exploration

    NASA Astrophysics Data System (ADS)

    Ceyssens, F.; Driesen, M.; Wouters, K.

    Scenario planning is a method in which key - but uncontrollable - driving forces that shape the future are identified and narrated in a scenario which is then used for strategic planning. The intention of this paper is to formulate recommended strategies for advocating deep space exploration projects in a range of possible scenarios. This paper is based on future scenarios from two well-known groups in the field of futures studies, the US National Intelligence Council and the Global Policy Group lead by the Tellus Institute (Boston) and the Stockholm Environment Institute. First, the scenarios are briefly described together with the dominant philosophical and political schools of thought they would entail. Then, conclusions are drawn about the challenges and opportunities for deep space exploration projects in each of the scenarios. Also, the preferred strategies that advocates of deep space exploration could use to promote such projects in each of the respective scenarios are discussed. In the tradition of scenario planning works, the paper ends with a few written-out narratives of a potential future.

  8. Estimating future ecoregion distributions within the Okavango Delta Wetlands based on hydrological simulations and future climate and development scenarios

    NASA Astrophysics Data System (ADS)

    Milzow, C.; Burg, V.; Kinzelbach, W.

    2010-02-01

    SummaryThe terminal wetlands of the Okavango Delta in northern Botswana are driven by the balance between inflows and evapotranspiration. The present situation is threatened by climate change and possible agricultural and industrial development in Botswana and the upstream countries Angola and Namibia. A new balance will affect the spatial extent and character of the Okavango Delta Wetlands. We apply a distributed hydrological model to study the impact of those threats on the hydrology and ecology of the wetlands. The relation between the present distribution of hydrological conditions and the occurrence of vegetation classes is investigated and a good correlation is found between depth to groundwater and vegetation class. By assuming that the distribution of vegetation will in the long term adapt to hydrological conditions, the simulated hydrological conditions under climate change and water management scenarios are translated into vegetation maps for these scenarios. Drier conditions are expected for the future and aquatic vegetation zones will be reduced in size. This change will however occur non-homogeneously over the Delta.

  9. Divergent projections of future land use in the United States arising from different models and scenarios

    USGS Publications Warehouse

    Sohl, Terry L.; Wimberly, Michael; Radeloff, Volker C.; Theobald, David M.; Sleeter, Benjamin M.

    2016-01-01

    A variety of land-use and land-cover (LULC) models operating at scales from local to global have been developed in recent years, including a number of models that provide spatially explicit, multi-class LULC projections for the conterminous United States. This diversity of modeling approaches raises the question: how consistent are their projections of future land use? We compared projections from six LULC modeling applications for the United States and assessed quantitative, spatial, and conceptual inconsistencies. Each set of projections provided multiple scenarios covering a period from roughly 2000 to 2050. Given the unique spatial, thematic, and temporal characteristics of each set of projections, individual projections were aggregated to a common set of basic, generalized LULC classes (i.e., cropland, pasture, forest, range, and urban) and summarized at the county level across the conterminous United States. We found very little agreement in projected future LULC trends and patterns among the different models. Variability among scenarios for a given model was generally lower than variability among different models, in terms of both trends in the amounts of basic LULC classes and their projected spatial patterns. Even when different models assessed the same purported scenario, model projections varied substantially. Projections of agricultural trends were often far above the maximum historical amounts, raising concerns about the realism of the projections. Comparisons among models were hindered by major discrepancies in categorical definitions, and suggest a need for standardization of historical LULC data sources. To capture a broader range of uncertainties, ensemble modeling approaches are also recommended. However, the vast inconsistencies among LULC models raise questions about the theoretical and conceptual underpinnings of current modeling approaches. Given the substantial effects that land-use change can have on ecological and societal processes, there

  10. ESP v1.0: Methodology for Exploring Emission Impacts of Future Scenarios in the United States

    EPA Science Inventory

    This article presents a methodology for creating anthropogenic emission inventories that can be used to simulate future regional air quality. The Emission Scenario Projection (ESP) methodology focuses on energy production and use, the principal sources of many air pollutants. Emi...

  11. Modeling future scenarios of light attenuation and potential seagrass success in a eutrophic estuary

    USGS Publications Warehouse

    del Barrio, Pilar; Ganju, Neil K.; Aretxabaleta, Alfredo L.; Hayn, Melanie; García, Andrés; Howarth, Robert W.

    2014-01-01

    Estuarine eutrophication has led to numerous ecological changes, including loss of seagrass beds. One potential cause of these losses is a reduction in light availability due to increased attenuation by phytoplankton. Future sea level rise will also tend to reduce light penetration and modify seagrass habitat. In the present study, we integrate a spectral irradiance model into a biogeochemical model coupled to the Regional Ocean Model System (ROMS). It is linked to a bio-optical seagrass model to assess potential seagrass habitat in a eutrophic estuary under future nitrate loading and sea-level rise scenarios. The model was applied to West Falmouth Harbor, a shallow estuary located on Cape Cod (Massachusetts) where nitrate from groundwater has led to eutrophication and seagrass loss in landward portions of the estuary. Measurements of chlorophyll, turbidity, light attenuation, and seagrass coverage were used to assess the model accuracy. Mean chlorophyll based on uncalibrated in-situ fluorometry varied from 28 μg L−1 at the landward-most site to 6.5 μg L−1 at the seaward site, while light attenuation ranged from 0.86 to 0.45 m-1. The model reproduced the spatial variability in chlorophyll and light attenuation with RMS errors of 3.72 μg L−1 and 0.07 m-1 respectively. Scenarios of future nitrate reduction and sea-level rise suggest an improvement in light climate in the landward basin with a 75% reduction in nitrate loading. This coupled model may be useful to assess habitat availability changes due to eutrophication and sediment resuspension and fully considers spatial variability on the tidal timescale.

  12. Putting watershed restoration in context: alternative future scenarios influence management outcomes.

    PubMed

    Fullerton, A H; Steel, E A; Caras, Y; Sheer, M; Olson, P; Kaje, J

    2009-01-01

    Predicting effects of habitat restoration is an important step for recovery of imperiled anadromous salmonid populations. Habitat above three major hydropower dams in the Lewis River watershed, southwestern Washington, USA, will soon become accessible to anadromous fish. We used multiple models to estimate habitat conditions above dams and fish population responses. Additionally, we used scenario planning to predict how habitat and fish will respond to potential future trends in land use due to human population growth and riparian conservation policies. Finally, we developed a hypothetical management strategy (i.e., a set of prioritized restoration projects in specific locations within the watershed) as an example of how a fixed amount of restoration funds might be spent to enhance the success of reintroducing fish above dams. We then compared predicted outcomes from this new strategy to those of six previously modeled strategies. We estimated how the choice of the best management strategy might differ among alternative future scenarios. Results suggest that dam passage will provide access to large amounts of high-quality habitat that will benefit fish populations. Moreover, conservation of existing riparian areas, if implemented, has the potential to improve conditions to a much greater extent than restoration strategies examined, despite expected urban growth. We found that the relative performance of management strategies shifted when fish were allowed to migrate above dams, but less so among alternative futures examined. We discuss how predicted outcomes from these seven hypothetical management strategies could be used for developing an on-the-ground strategy to address a real management situation. PMID:19323185

  13. Strengthening of the hydrological cycle in future scenarios: atmospheric energy and water balance perspective

    NASA Astrophysics Data System (ADS)

    Alessandri, A.; Fogli, P. G.; Vichi, M.; Zeng, N.

    2012-11-01

    Future climate scenarios experiencing global warming are expected to strengthen the hydrological cycle during the 21st century (21C). We analyze the strengthening of the global-scale increase in precipitation from the perspective of changes in whole atmospheric water and energy balances. By combining energy and water equations for the whole atmosphere, we obtain constraints for the changes in surface fluxes and partitioning at the surface between sensible and latent components. We investigate the differences in the strengthening of the hydrological cycle in two centennial simulations performed with an Earth system model forced with specified atmospheric concentration pathways. Alongside the Special Report on Emissions Scenario (SRES) A1B, which is a medium-high non-mitigation scenario, we consider a new aggressive-mitigation scenario (E1) with reduced fossil fuel use for energy production aimed at stabilizing global warming below 2 K. Our results show that the mitigation scenario effectively constrains the global warming with a stabilization below 2 K with respect to the 1950-2000 historical period. On the other hand, the E1 precipitation does not follow the temperature field toward a stabilization path but continues to increase over the mitigation period. Quite unexpectedly, the mitigation scenario is shown to strengthen the hydrological cycle even more than SRES A1B till around 2070. We show that this is mostly a consequence of the larger increase in the negative radiative imbalance of atmosphere in E1 compared to A1B. This appears to be primarily related to decreased sulfate aerosol concentration in E1, which considerably reduces atmospheric absorption of solar radiation compared to A1B. The last decades of the 21C show a marked increase in global precipitation in A1B compared to E1, despite the fact that the two scenarios display almost the same overall increase of radiative imbalance with respect to the 20th century. Our results show that radiative cooling is

  14. Global Tree Range Shifts Under Forecasts from Two Alternative GCMs Using Two Future Scenarios

    NASA Astrophysics Data System (ADS)

    Hargrove, W. W.; Kumar, J.; Potter, K. M.; Hoffman, F. M.

    2013-12-01

    Global shifts in the environmentally suitable ranges of 215 tree species were predicted under forecasts from two GCMs (the Parallel Climate Model (PCM), and the Hadley Model), each under two IPCC future climatic scenarios (A1 and B1), each at two future dates (2050 and 2100). The analysis considers all global land surface at a resolution of 4 km2. A statistical multivariate clustering procedure was used to quantitatively delineate 30 thousand environmentally homogeneous ecoregions across present and 8 potential future global locations at once, using global maps of 17 environmental characteristics describing temperature, precipitation, soils, topography and solar insolation. Presence of each tree species on Forest Inventory Analysis (FIA) plots and in Global Biodiversity Information Facility (GBIF) samples was used to select a subset of suitable ecoregions from the full set of 30 thousand. Once identified, this suitable subset of ecoregions was compared to the known current range of the tree species under present conditions. Predicted present ranges correspond well with current understanding for all but a few of the 215 tree species. The subset of suitable ecoregions for each tree species can then be tracked into the future to determine whether the suitable home range for this species remains the same, moves, grows, shrinks, or disappears under each model/scenario combination. Occurrence and growth performance measurements for various tree species across the U.S. are limited to FIA plots. We present a new, general-purpose empirical imputation method which associates sparse measurements of dependent variables with particular multivariate clustered combinations of the independent variables, and then estimates values for unmeasured clusters, based on directional proximity in multidimensional data space, at both the cluster and map-cell levels of resolution. Using Associative Clustering, we scaled up the FIA point measurements into contonuous maps that show the expected

  15. A stochastic Forest Fire Model for future land cover scenarios assessment

    NASA Astrophysics Data System (ADS)

    D'Andrea, M.; Fiorucci, P.; Holmes, T. P.

    2010-10-01

    Land cover is affected by many factors including economic development, climate and natural disturbances such as wildfires. The ability to evaluate how fire regimes may alter future vegetation, and how future vegetation may alter fire regimes, would assist forest managers in planning management actions to be carried out in the face of anticipated socio-economic and climatic change. In this paper, we present a method for calibrating a cellular automata wildfire regime simulation model with actual data on land cover and wildfire size-frequency. The method is based on the observation that many forest fire regimes, in different forest types and regions, exhibit power law frequency-area distributions. The standard Drossel-Schwabl cellular automata Forest Fire Model (DS-FFM) produces simulations which reproduce this observed pattern. However, the standard model is simplistic in that it considers land cover to be binary - each cell either contains a tree or it is empty - and the model overestimates the frequency of large fires relative to actual landscapes. Our new model, the Modified Forest Fire Model (MFFM), addresses this limitation by incorporating information on actual land use and differentiating among various types of flammable vegetation. The MFFM simulation model was tested on forest types with Mediterranean and sub-tropical fire regimes. The results showed that the MFFM was able to reproduce structural fire regime parameters for these two regions. Further, the model was used to forecast future land cover. Future research will extend this model to refine the forecasts of future land cover and fire regime scenarios under climate, land use and socio-economic change.

  16. Suitability of European climate for the Asian tiger mosquito Aedes albopictus: recent trends and future scenarios.

    PubMed

    Caminade, Cyril; Medlock, Jolyon M; Ducheyne, Els; McIntyre, K Marie; Leach, Steve; Baylis, Matthew; Morse, Andrew P

    2012-10-01

    The Asian tiger mosquito (Aedes albopictus) is an invasive species that has the potential to transmit infectious diseases such as dengue and chikungunya fever. Using high-resolution observations and regional climate model scenarios for the future, we investigated the suitability of Europe for A. albopictus using both recent climate and future climate conditions. The results show that southern France, northern Italy, the northern coast of Spain, the eastern coast of the Adriatic Sea and western Turkey were climatically suitable areas for the establishment of the mosquito during the 1960-1980s. Over the last two decades, climate conditions have become more suitable for the mosquito over central northwestern Europe (Benelux, western Germany) and the Balkans, while they have become less suitable over southern Spain. Similar trends are likely in the future, with an increased risk simulated over northern Europe and slightly decreased risk over southern Europe. These distribution shifts are related to wetter and warmer conditions favouring the overwintering of A. albopictus in the north, and drier and warmer summers that might limit its southward expansion. PMID:22535696

  17. Suitability of European climate for the Asian tiger mosquito Aedes albopictus: recent trends and future scenarios

    PubMed Central

    Caminade, Cyril; Medlock, Jolyon M.; Ducheyne, Els; McIntyre, K. Marie; Leach, Steve; Baylis, Matthew; Morse, Andrew P.

    2012-01-01

    The Asian tiger mosquito (Aedes albopictus) is an invasive species that has the potential to transmit infectious diseases such as dengue and chikungunya fever. Using high-resolution observations and regional climate model scenarios for the future, we investigated the suitability of Europe for A. albopictus using both recent climate and future climate conditions. The results show that southern France, northern Italy, the northern coast of Spain, the eastern coast of the Adriatic Sea and western Turkey were climatically suitable areas for the establishment of the mosquito during the 1960–1980s. Over the last two decades, climate conditions have become more suitable for the mosquito over central northwestern Europe (Benelux, western Germany) and the Balkans, while they have become less suitable over southern Spain. Similar trends are likely in the future, with an increased risk simulated over northern Europe and slightly decreased risk over southern Europe. These distribution shifts are related to wetter and warmer conditions favouring the overwintering of A. albopictus in the north, and drier and warmer summers that might limit its southward expansion. PMID:22535696

  18. Predicting future changes in Muskegon River Watershed game fish distributions under future land cover alteration and climate change scenarios

    USGS Publications Warehouse

    Steen, Paul J.; Wiley, Michael J.; Schaeffer, Jeffrey S.

    2010-01-01

    Future alterations in land cover and climate are likely to cause substantial changes in the ranges of fish species. Predictive distribution models are an important tool for assessing the probability that these changes will cause increases or decreases in or the extirpation of species. Classification tree models that predict the probability of game fish presence were applied to the streams of the Muskegon River watershed, Michigan. The models were used to study three potential future scenarios: (1) land cover change only, (2) land cover change and a 3°C increase in air temperature by 2100, and (3) land cover change and a 5°C increase in air temperature by 2100. The analysis indicated that the expected change in air temperature and subsequent change in water temperatures would result in the decline of coldwater fish in the Muskegon watershed by the end of the 21st century while cool- and warmwater species would significantly increase their ranges. The greatest decline detected was a 90% reduction in the probability that brook trout Salvelinus fontinalis would occur in Bigelow Creek. The greatest increase was a 276% increase in the probability that northern pike Esox lucius would occur in the Middle Branch River. Changes in land cover are expected to cause large changes in a few fish species, such as walleye Sander vitreus and Chinook salmon Oncorhynchus tshawytscha, but not to drive major changes in species composition. Managers can alter stream environmental conditions to maximize the probability that species will reside in particular stream reaches through application of the classification tree models. Such models represent a good way to predict future changes, as they give quantitative estimates of the n-dimensional niches for particular species.

  19. The Future of Public Health Informatics: Alternative Scenarios and Recommended Strategies

    PubMed Central

    Edmunds, Margo; Thorpe, Lorna; Sepulveda, Martin; Bezold, Clem; Ross, David A.

    2014-01-01

    Background: In October 2013, the Public Health Informatics Institute (PHII) and Institute for Alternative Futures (IAF) convened a multidisciplinary group of experts to evaluate forces shaping public health informatics (PHI) in the United States, with the aim of identifying upcoming challenges and opportunities. The PHI workshop was funded by the Robert Wood Johnson Foundation as part of its larger strategic planning process for public health and primary care. Workshop Context: During the two-day workshop, nine experts from the public and private sectors analyzed and discussed the implications of four scenarios regarding the United States economy, health care system, information technology (IT) sector, and their potential impacts on public health in the next 10 years, by 2023. Workshop participants considered the potential role of the public health sector in addressing population health challenges in each scenario, and then identified specific informatics goals and strategies needed for the sector to succeed in this role. Recommendations and Conclusion: Participants developed recommendations for the public health informatics field and for public health overall in the coming decade. These included the need to rely more heavily on intersectoral collaborations across public and private sectors, to improve data infrastructure and workforce capacity at all levels of the public health enterprise, to expand the evidence base regarding effectiveness of informatics-based public health initiatives, and to communicate strategically with elected officials and other key stakeholders regarding the potential for informatics-based solutions to have an impact on population health. PMID:25848630

  20. Future climate scenarios and rainfall--runoff modelling in the Upper Gallego catchment (Spain).

    PubMed

    Bürger, C M; Kolditz, O; Fowler, H J; Blenkinsop, S

    2007-08-01

    Global climate change may have large impacts on water supplies, drought or flood frequencies and magnitudes in local and regional hydrologic systems. Water authorities therefore rely on computer models for quantitative impact prediction. In this study we present kernel-based learning machine river flow models for the Upper Gallego catchment of the Ebro basin. Different learning machines were calibrated using daily gauge data. The models posed two major challenges: (1) estimation of the rainfall-runoff transfer function from the available time series is complicated by anthropogenic regulation and mountainous terrain and (2) the river flow model is weak when only climate data are used, but additional antecedent flow data seemed to lead to delayed peak flow estimation. These types of models, together with the presented downscaled climate scenarios, can be used for climate change impact assessment in the Gallego, which is important for the future management of the system. PMID:17428594

  1. Future impacts of nitrogen deposition and climate change scenarios on forest crown defoliation.

    PubMed

    De Marco, Alessandra; Proietti, Chiara; Cionni, Irene; Fischer, Richard; Screpanti, Augusto; Vitale, Marcello

    2014-11-01

    Defoliation is an indicator for forest health in response to several stressors including air pollutants, and one of the most important parameters monitored in the International Cooperative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The study aims to estimate crown defoliation in 2030, under three climate and one nitrogen deposition scenarios, based on evaluation of the most important factors (meteorological, nitrogen deposition and chemical soil parameters) affecting defoliation of twelve European tree species. The combination of favourable climate and nitrogen fertilization in the more adaptive species induces a generalized decrease of defoliation. On the other hand, severe climate change and drought are main causes of increase in defoliation in Quercus ilex and Fagus sylvatica, especially in Mediterranean area. Our results provide information on regional distribution of future defoliation, an important knowledge for identifying policies to counteract negative impacts of climate change and air pollution. PMID:25118942

  2. Study on the water related disaster risks using the future socio-economic scenario in Asia

    NASA Astrophysics Data System (ADS)

    Kiguchi, M.; Hatono, M.; Ikeuchi, H.; Nakamura, S.; Hirabayashi, Y.; Kanae, S.; Oki, T.

    2014-12-01

    In this study, flood risks in the present and the end of the 21st century in Asia are estimated using a future socio-economic scenario. Using the runoff data of 7 GCMs (RCP 8.5) of CMIP5, the river discharge, inundation area, and inundation depth are calculated for the assessment of flood risk. Finally, the flood risk is estimated using a function of damage. The flood frequency in the end of the 21st century in Asia tends to increase. Inundation area in Japan, Taiwan, and Kyrgyz is almost unchanged. At the same time, that in Sri Lanka, Bangladesh, Laos, and Myanmar reached about 1.4-1.6 times compared to present. Damage cost is largely influenced by economic growth, however, we show that it is important that we distinguish the influence of climate change from economic development and evaluate it when we think about an adaptation.

  3. A stochastic Forest Fire Model for future land cover scenarios assessment

    NASA Astrophysics Data System (ADS)

    Fiorucci, P.; Holmes, T.; Gaetani, F.; D'Andrea, M.

    2009-04-01

    Land cover change and forest fire interaction under climate and socio-economics changes, is one of the main issues of the 21th century. The capability of defining future scenarios of land cover and fire regime allow forest managers to better understand the best actions to be carried out and their long term effects. In this paper a new methodology for land cover change simulations under climate change and fire disturbance is presented and discussed. The methodology is based on the assumption that forest fires exhibits power law frequency-area distribution. The well known Forest Fire Model (FFM), which is an example of self organized criticality, is able to reproduce this behavior. Starting from this observation, a modified version of the FFM has been developed. The new model, called Modified Forest Fire Model (MFFM) introduces several new features. A stochastic model for vegetation growth and regrowth after fire occurrence has been implemented for different kind of vegetations. In addition, a stochastic fire propagation model taking into account topography and vegetation cover has been introduced. The MFFM has been developed with the purpose of estimating vegetation cover changes and fire regimes over a time windows of many years for a given spatial region. Two different case studies have been carried out. The first case study is related with Liguria (Italy), a region of 5400 km2 lying between the Cote d'Azur, France, and Tuscany, Italy, on the northwest coast of the Tyrrhenian Sea. This region is characterized by Mediterranean fire regime. The second case study has been carried out in California (Florida) on a region having similar area and characterized by similar climate conditions. In both cases the model well represents the actual fire regime in terms of power law parameters proving interesting results about future land cover scenarios under climate, land use and socio-economics change.

  4. Evaluation of alternative future energy scenarios for Brazil using an energy mix model

    NASA Astrophysics Data System (ADS)

    Coelho, Maysa Joppert

    The purpose of this study is to model and assess the performance and the emissions impacts of electric energy technologies in Brazil, based on selected economic scenarios, for a time frame of 40 years, taking the year of 1995 as a base year. A Base scenario has been developed, for each of three economic development projections, based upon a sectoral analysis. Data regarding the characteristics of over 300 end-use technologies and 400 energy conversion technologies have been collected. The stand-alone MARKAL technology-based energy-mix model, first developed at Brookhaven National Laboratory, was applied to a base case study and five alternative case studies, for each economic scenario. The alternative case studies are: (1) minimum increase in the thermoelectric contribution to the power production system of 20 percent after 2010; (2) extreme values for crude oil price; (3) minimum increase in the renewable technologies contribution to the power production system of 20 percent after 2010; (4) uncertainty on the cost of future renewable conversion technologies; and (5) model is forced to use the natural gas plants committed to be built in the country. Results such as the distribution of fuel used for power generation, electricity demand across economy sectors, total CO2 emissions from burning fossil fuels for power generation, shadow price (marginal cost) of technologies, and others, are evaluated and compared to the Base scenarios previous established. Among some key findings regarding the Brazilian energy system it may be inferred that: (1) diesel technologies are estimated to be the most cost-effective thermal technology in the country; (2) wind technology is estimated to be the most cost-effective technology to be used when a minimum share of renewables is imposed to the system; and (3) hydroelectric technologies present the highest cost/benefit relation among all conversion technologies considered. These results are subject to the limitations of key input

  5. France-wide future evolution of discharges for the next decades: a multi-RCP/GCM/hydrological model and calibration exercise

    NASA Astrophysics Data System (ADS)

    Thirel, Guillaume; Nicolas, Madeleine; Beersma, Jules

    2015-04-01

    Due to complex interactions between atmosphere, vegetation, oceans, land and human beings, climate is continually evolving. The last IPCC report highlighted that by the end of the 21st century, dramatic climate modifications may occur: in Europe, the temperature is expected to increase by several degrees, and the evolution of precipitation is more uncertain. These changes will impact the water cycle, and as a consequence river discharges, which can potentially impact economical, industrial and touristic activities as well as the ecosphere. In order to provide new insights for hydrology in France, we propose to assess the impact of climate change on discharge module, high and low flows for over 800 river points in France. For this, the last CMIP5 projections are used for the periods 2021-2050 and 2071-2100. This country-wide evaluation, a compromise between basin-based and continental studies usually performed in literature, is of the utmost importance due to the numerous interconnections of water uses inside France. For this work, the 4 IPCC Representative Concentration Pathways (RCPs) were utilized to drive part or all of 27 Global Circulation Models (GCMs) or versions of GCMs, for which one to ten different runs were available. This represents a total of 183 climatic projections that were then downscaled using the Advanced Delta Change (ADC) method, a statistical method calibrated between a past reference period and the two future periods. In this study, we applied the ADC to an 8x8 km 52-year meteorological reanalysis available over France. Six global conceptual hydrological models (GR4J, GR5J, GR6J, MORD6, TOPMO, HBV0) were used to produce the hydrological projections, allowing the representation of uncertainty in hydrological modelling. Moreover, one of the hydrological models was calibrated with several objective functions and over contrasted climatic periods. By having several methods or models for every step (except regarding the downscaling method), we

  6. Future changes in atmospheric condition for the baiu under RCP scenarios

    NASA Astrophysics Data System (ADS)

    Okada, Y.; Takemi, T.; Ishikawa, H.

    2015-12-01

    This study focuses on atmospheric circulation fields during the baiu in Japan with global warming projection experimental data conducted using a 20-km mesh global atmospheric model (MRI-AGCM3.2) under Representative Concentration Pathways (RCP) scenarios. This model also used 4 different sea surface temperature (SST) initial conditions. Support of this dataset is provided by the Meteorological Research Institute (MRI). The baiu front indicated by the north-south gradient of moist static energy moves northward in present-day climate, whereas this northward shift in future climate simulations is very slow during May and June. In future late baiu season, the baiu front stays in the northern part of Japan even in August. As a result, the rich water vapor is transported around western Japan and the daily precipitation amount will increase in August. This northward shift of baiu front is associated with the westward expansion of the enhanced the North Pacific subtropical high (NPSH) into Japan region. However, the convective activity around northwest Pacific Ocean is inactive and is unlikely to occur convective jump (CJ). These models show that the weak trough exists in upper troposphere around Japan. Therefore, the cold advection stays in the northern part of Japan during June. In July, the front due to the strengthening of the NPSH moves northward, and then it stays until August. This feature is often found between the clustered SSTs, Cluster 2 and 3. The mean field of future August also show the inflow of rich water vapor content to Japan islands. In this model, the extreme rainfall suggested tends to almost increase over the Japan islands during future summer. This work was conducted under the Program for Risk Information on Climate Change supported by the Ministry of Education, Culture, Sports, Science, and Technology-Japan (MEXT).

  7. Pattern Scaling for Developing Change Scenarios in Water Supply Studies

    NASA Astrophysics Data System (ADS)

    Anandhi, A.; Pierson, D.; Frie, A.

    2014-12-01

    Change factor methodology (CFM), or delta change factor methodology, is a type of pattern scaling. Although a variety of methods are available to develop scenarios, CFMs are widely used for their ease and speed of application and their capability to directly scale local data according to changes suggested by the global climate model (GCM) scenarios. Change factors (CFs) can be calculated and used in a number of ways to estimate future climate scenarios, but no clear guidelines are available in the literature to decide which methodologies are most suitable for different applications. This study compares and contrasts several categories of CFM (additive versus multiplicative and single versus multiple) for a number of climate variables. The study employs several theoretical examples as well as an applied study from the New York City water supply. Results show that in cases where the frequency distribution of the GCM baseline climate is close to the frequency distribution of the observed climate, or when the frequency distribution of the GCM future climate is close to the frequency distribution of the GCM baseline climate, additive and multiplicative single CFMs provide comparable results. Two options to guide the choice of CFM are suggested: the first is a detailed methodological analysis for choosing the most appropriate CFM, and the second is a default method for circumstances in which a detailed methodological analysis is too cumbersome.

  8. Future impact of traffic emissions on atmospheric ozone and OH based on two scenarios

    NASA Astrophysics Data System (ADS)

    Hodnebrog, Ø.; Berntsen, T. K.; Dessens, O.; Gauss, M.; Grewe, V.; Isaksen, I. S. A.; Koffi, B.; Myhre, G.; Olivié, D.; Prather, M. J.; Stordal, F.; Szopa, S.; Tang, Q.; van Velthoven, P.; Williams, J. E.

    2012-08-01

    The future impact of traffic emissions on atmospheric ozone and OH has been investigated separately for the three sectors AIRcraft, maritime SHIPping and ROAD traffic. To reduce uncertainties we present results from an ensemble of six different atmospheric chemistry models, each simulating the atmospheric chemical composition in a possible high emission scenario (A1B), and with emissions from each transport sector reduced by 5% to estimate sensitivities. Our results are compared with optimistic future emission scenarios (B1 and B1 ACARE), presented in a companion paper, and with the recent past (year 2000). Present-day activity indicates that anthropogenic emissions so far evolve closer to A1B than the B1 scenario. As a response to expected changes in emissions, AIR and SHIP will have increased impacts on atmospheric O3 and OH in the future while the impact of ROAD traffic will decrease substantially as a result of technological improvements. In 2050, maximum aircraft-induced O3 occurs near 80° N in the UTLS region and could reach 9 ppbv in the zonal mean during summer. Emissions from ship traffic have their largest O3 impact in the maritime boundary layer with a maximum of 6 ppbv over the North Atlantic Ocean during summer in 2050. The O3 impact of road traffic emissions in the lower troposphere peaks at 3 ppbv over the Arabian Peninsula, much lower than the impact in 2000. Radiative Forcing (RF) calculations show that the net effect of AIR, SHIP and ROAD combined will change from a~marginal cooling of -0.38 ± 13 mW m-2 in 2000 to a relatively strong cooling of -32 ± 8.9 (B1) or -31 ± 20 mW m-2 (A1B) in 2050, when taking into account RF due to changes in O3, CH4 and CH4-induced O3. This is caused both by the enhanced negative net RF from SHIP, which will change from -20 ± 5.4 mW m-2 in 2000 to -31 ± 4.8 (B1) or -40 ± 11 mW m-2 (A1B) in 2050, and from reduced O3 warming from ROAD, which is likely to turn from a positive net RF of 13 ± 7.9 mW m-2 in 2000 to

  9. Future impact of traffic emissions on atmospheric ozone and OH based on two scenarios

    NASA Astrophysics Data System (ADS)

    Hodnebrog, Ø.; Berntsen, T. K.; Dessens, O.; Gauss, M.; Grewe, V.; Isaksen, I. S. A.; Koffi, B.; Myhre, G.; Olivié, D.; Prather, M. J.; Stordal, F.; Szopa, S.; Tang, Q.; van Velthoven, P.; Williams, J. E.

    2012-12-01

    The future impact of traffic emissions on atmospheric ozone and OH has been investigated separately for the three sectors AIRcraft, maritime SHIPping and ROAD traffic. To reduce uncertainties we present results from an ensemble of six different atmospheric chemistry models, each simulating the atmospheric chemical composition in a possible high emission scenario (A1B), and with emissions from each transport sector reduced by 5% to estimate sensitivities. Our results are compared with optimistic future emission scenarios (B1 and B1 ACARE), presented in a companion paper, and with the recent past (year 2000). Present-day activity indicates that anthropogenic emissions so far evolve closer to A1B than the B1 scenario. As a response to expected changes in emissions, AIR and SHIP will have increased impacts on atmospheric O3 and OH in the future while the impact of ROAD traffic will decrease substantially as a result of technological improvements. In 2050, maximum aircraft-induced O3 occurs near 80° N in the UTLS region and could reach 9 ppbv in the zonal mean during summer. Emissions from ship traffic have their largest O3 impact in the maritime boundary layer with a maximum of 6 ppbv over the North Atlantic Ocean during summer in 2050. The O3 impact of road traffic emissions in the lower troposphere peaks at 3 ppbv over the Arabian Peninsula, much lower than the impact in 2000. Radiative forcing (RF) calculations show that the net effect of AIR, SHIP and ROAD combined will change from a marginal cooling of -0.44 ± 13 mW m-2 in 2000 to a relatively strong cooling of -32 ± 9.3 (B1) or -32 ± 18 mW m-2 (A1B) in 2050, when taking into account RF due to changes in O3, CH4 and CH4-induced O3. This is caused both by the enhanced negative net RF from SHIP, which will change from -19 ± 5.3 mW m-2 in 2000 to -31 ± 4.8 (B1) or -40 ± 9 mW m-2 (A1B) in 2050, and from reduced O3 warming from ROAD, which is likely to turn from a positive net RF of 12 ± 8.5 mW m-2 in 2000 to a

  10. Hydroelectric power generation in an Alpine basin: future water-energy scenarios in a run-of-the-river plant

    NASA Astrophysics Data System (ADS)

    Bongio, Marco; Avanzi, Francesco; De Michele, Carlo

    2016-08-01

    We investigate scenarios of hydroelectric power generation for an Alpine run-of-the-river plant in 2050. To this end, we include a conversion from streamflow to energy in a hydrological model of the basin, and we introduce a set of benchmark climate scenarios to evaluate expected future production. These are a "future-like-present" scenario assuming future precipitation and temperature inputs to be statistically equivalent to those observed during the recent past at the same location, a "warmer-future" scenario, which considers an additional increase in temperature, and a "liquid-only" scenario where only liquid precipitation is admitted. In addition, two IPCC-like climatic scenarios (RCP 4.5 and RCP 8.5) are considered. Uncertainty in glaciers' volume is accounted by initializing the hydrological model with two different inventories of glaciers. Ensemble results reveal that 1) an average decrease between -40% and -19% of hydroelectric power generation in 2050 is predicted at the plant considered (with respect to present condition); 2) an average decrease between -20% and -38% of cumulative incoming streamflow volume at the plant is also predicted, again with respect to present condition; 3) these effects are associated with a strong average decrease of the volume of glaciers (between -76% and -96%, depending on the initial value considered). However, Monte Carlo simulations show that results are also prone to high uncertainties. Implications of these results for run-of-the-river plants are discussed.

  11. Diversity in health administration doctoral education: alternative scenarios for the future.

    PubMed

    Begun, J W

    2001-01-01

    Doctoral programs in health administration are characterized by extreme diversity in focus, format, content, and market. The observed diversity reflects two key structural attributes of health administration as a doctoral field of study: 1) its multidisciplinary base, and 2) its small size. These attributes leave doctoral programs vulnerable to a host of external pressures. The field lacks structure and organizing principles at the national or international level, and students, employers, and other stakeholders suffer some damaging consequences. Pressures from the institutional environment are weak and splintered (among the constituent disciplines of health administration), while the technical environment (economic forces such as competition for students and research funding) produces a powerful set of incentives that shape the form and substance of health administration doctoral education. As alternatives to the current hybrid nature of the field, two additional future scenarios are considered: Integration with Health Services Research, and Integration with Business Administration. The future of health administration doctoral education is interdependent with 1) the continued differentiation of health administration as a master's field of study; 2) trends in research funding; and 3) economies in the delivery of small-scale or individually customized doctoral education. At the least, programs and students currently would benefit from more information classifying program breadth and goals and reporting outcomes; more adequate information on careers and placement; and a modicum of workforce planning. PMID:11764842

  12. Comparison of RCM and GCM projections of boreal summer precipitation over Africa

    NASA Astrophysics Data System (ADS)

    Saini, Roop; Wang, Guiling; Yu, Miao; Kim, Jeehee

    2015-05-01

    To provide input data for the potential future climate change impact assessment at regional levels, dynamic downscaling of global climate models (GCMs) climate using regional climate models (RCMs) is frequently utilized. It is important to understand how the climate change signal is modified in the RCM driven by GCM so that the simulated results can be accurately interpreted. This study compares the performance of a RCM and four driving GCMs in simulating precipitation over Africa and investigate how dynamically downscaled present and future climate from the regional model RegCM4.1 driven with four GCMs differ from those of the GCMs. In general, RegCM4.1 has a lower summer (June-August) precipitation bias than the driving GCMs, increasing our confidence in their future projections. Despite uncertainty in future projections, RegCM4.1 shows decreased precipitation over Sahel regardless of which GCM is used to drive the RCM. RegCM4.1 shows an increased interannual variability of summer precipitation over Gulf of Guinea and Central Africa as compared to GCMs in both present-day climate and projected future climate scenarios. The mean annual cycle of precipitation differs between RCM and the driving GCM, in particular during the West African Monsoon (WAM). The WAM onset, peak, and retreat phases are more clearly defined in the RegCM4.1 than the four driving GCMs, where the WAM rainband shifts more southward. This paper highlights the uncertainties in dynamical downscaling for climate prediction, which are due to the inconsistencies in the physical packages between RCM and GCMs.

  13. Assessment of Folsom Lake Watershed response to historical and potential future climate scenarios

    USGS Publications Warehouse

    Carpenter, Theresa M.; Georgakakos, Konstantine P.

    2000-01-01

    An integrated forecast-control system was designed to allow the profitable use of ensemble forecasts for the operational management of multi-purpose reservoirs. The system ingests large-scale climate model monthly precipitation through the adjustment of the marginal distribution of reservoir-catchment precipitation to reflect occurrence of monthly climate precipitation amounts in the extreme terciles of their distribution. Generation of ensemble reservoir inflow forecasts is then accomplished with due account for atmospheric- forcing and hydrologic- model uncertainties. These ensemble forecasts are ingested by the decision component of the integrated system, which generates non- inferior trade-off surfaces and, given management preferences, estimates of reservoir- management benefits over given periods. In collaboration with the Bureau of Reclamation and the California Nevada River Forecast Center, the integrated system is applied to Folsom Lake in California to evaluate the benefits for flood control, hydroelectric energy production, and low flow augmentation. In addition to retrospective studies involving the historical period 1964-1993, system simulations were performed for the future period 2001-2030, under a control (constant future greenhouse-gas concentrations assumed at the present levels) and a greenhouse-gas- increase (1-% per annum increase assumed) scenario. The present paper presents and validates ensemble 30-day reservoir- inflow forecasts under a variety of situations. Corresponding reservoir management results are presented in Yao and Georgakakos, A., this issue. Principle conclusions of this paper are that the integrated system provides reliable ensemble inflow volume forecasts at the 5-% confidence level for the majority of the deciles of forecast frequency, and that the use of climate model simulations is beneficial mainly during high flow periods. It is also found that, for future periods with potential sharp climatic increases of precipitation

  14. Simulation of the 1992 Tessina landslide by a cellular automata model and future hazard scenarios

    NASA Astrophysics Data System (ADS)

    Avolio, MV; Di Gregorio, Salvatore; Mantovani, Franco; Pasuto, Alessandro; Rongo, Rocco; Silvano, Sandro; Spataro, William

    Cellular Automata are a powerful tool for modelling natural and artificial systems, which can be described in terms of local interactions of their constituent parts. Some types of landslides, such as debris/mud flows, match these requirements. The 1992 Tessina landslide has characteristics (slow mud flows) which make it appropriate for modelling by means of Cellular Automata, except for the initial phase of detachment, which is caused by a rotational movement that has no effect on the mud flow path. This paper presents the Cellular Automata approach for modelling slow mud/debris flows, the results of simulation of the 1992 Tessina landslide and future hazard scenarios based on the volumes of masses that could be mobilised in the future. They were obtained by adapting the Cellular Automata Model called SCIDDICA, which has been validated for very fast landslides. SCIDDICA was applied by modifying the general model to the peculiarities of the Tessina landslide. The simulations obtained by this initial model were satisfactory for forecasting the surface covered by mud. Calibration of the model, which was obtained from simulation of the 1992 event, was used for forecasting flow expansion during possible future reactivation. For this purpose two simulations concerning the collapse of about 1 million m 3 of material were tested. In one of these, the presence of a containment wall built in 1992 for the protection of the Tarcogna hamlet was inserted. The results obtained identified the conditions of high risk affecting the villages of Funes and Lamosano and show that this Cellular Automata approach can have a wide range of applications for different types of mud/debris flows.

  15. Modelling present and future African climate using CMIP5scenarios in HadGEM2-ES

    NASA Astrophysics Data System (ADS)

    Shimizu, M. H.; Diallo, M.; Dike, V. N.

    2014-12-01

    The present precipitation and temperature patterns and expected future changes (2073-2098) in Africa are investigated using the Hadley Centre Global Environmental Model 2-Earth System (HadGEM2-ES) under the fifth phase of the Coupled Model Intercomparison Project (CMIP5) protocols for historical and future emission scenarios simulations.In a CMIP5 multimodel analysis, the annual cycles of temperature and precipitation simulated by HadGEM2-ES were very close to the multimodel ensemble mean. HadGEM2-ES temperature simulation compares well with the National Center for Atmospheric Research (NCAR) reanalysis over the 1979-2004 periods, except for a summer overestimation in Central Africa, and a winter underestimation in tropical West Africa. The precipitation simulation compared well with the Global Precipitation Climatology Project (GPCP) data from 1979 to 2004 over the entire Africa, except in the Intertropical Convergence Zone (ITCZ), where the model fails to capture adequately the transition phase of the monsoon circulation. The dry regimes over Northern Africa as well as the wetter regime occurring over Central Africa, which is mainly regulated by the ITCZ displacement, and during the austral summer of Southern Africa, are also fairly reproduced by the HadGEM2-ES model. The model projects for the end of the 21st century a rainy South Africa, a change of the flood/drought cycle in the Tropics and a warming over the whole continent, varying from 3 to 7 ∘ C. HadGEM2-ES performance for Nigeria shows good reproduction of precipitation seasonal cycles for some locations, outside the ITCZ. However, the comparison with in situ measurement in Ilorin and Lagos shows the model is not being able to reproduce the precipitation annual cycle. Future projections for Nigeria exhibit warming everywhere and an enhancement of precipitation, especially in the northern part of the country.

  16. Tidal Hydrodynamics under Future Sea Level Rise Scenarios with Coastal Morphology along the Northern Gulf of Mexico

    NASA Astrophysics Data System (ADS)

    Passeri, D. L.; Hagen, S. C.; Plant, N. G.; Bilskie, M. V.; Medeiros, S. C.; Alizad, K.

    2015-12-01

    This study examines the integrated influence of sea level rise (SLR) and future morphology on tidal hydrodynamics along the Northern Gulf of Mexico (NGOM) coast with particular focus in three estuaries: Grand Bay, MS, Weeks Bay, AL, and Apalachicola, FL. A large-domain hydrodynamic model was used to simulate astronomic tides for present (circa 2005) and future conditions (circa 2050 and 2100) to understand how sea level and morphology affect tidal heights and velocities. The model was modified with SLR scenarios and projections of morphology obtained from a Bayesian Network (BN); the BN relates driving forces and geological constraints to produce probabilistic projections of shoreline change and dune heights under SLR. Tidal amplitudes within the bays increased as much as 67% (10.0 cm) under the highest SLR scenario. There was a linear correlation between the change in the inlet cross-sectional area under SLR and the change in the tidal amplitude in each bay. Changes in harmonic constituent phases indicated faster tidal propagation in the future scenario in all of the bays except St. Andrew. Tidal velocities also increased in all of the bays, especially in Grand Bay where current velocities doubled under the highest SLR scenario. In addition, the ratio of the flood to ebb velocity decreased (i.e., currents became more ebb dominant) in all of the future scenarios within Weeks Bay and Apalachicola, by as much as 26% and 39%, respectively. Under the higher SLR scenarios, currents those two estuaries reversed from flood-dominant to ebb-dominant. In Grand Bay, the flood-ebb ratio increased (i.e., currents became more flood dominant) by 25% under the lower SLR scenarios, but decreased by 16% under the higher SLR as a result of the offshore barrier islands being overtopped. Results from this study can be used to inform future storm surge and ecological assessments of SLR, and improve monitoring and management decisions within the NGOM estuaries.

  17. Evaluating watershed service availability under future management and climate change scenarios in the Pangani Basin

    NASA Astrophysics Data System (ADS)

    Notter, Benedikt; Hurni, Hans; Wiesmann, Urs; Ngana, James O.

    Watershed services are the benefits people obtain from the flow of water through a watershed. While demand for such services is increasing in most parts of the world, supply is getting more insecure due to human impacts on ecosystems such as climate or land use change. Population and water management authorities therefore require information on the potential availability of watershed services in the future and the trade-offs involved. In this study, the Soil and Water Assessment Tool (SWAT) is used to model watershed service availability for future management and climate change scenarios in the East African Pangani Basin. In order to quantify actual “benefits”, SWAT2005 was slightly modified, calibrated and configured at the required spatial and temporal resolution so that simulated water resources and processes could be characterized based on their valuation by stakeholders and their accessibility. The calibrated model was then used to evaluate three management and three climate scenarios. The results show that by the year 2025, not primarily the physical availability of water, but access to water resources and efficiency of use represent the greatest challenges. Water to cover basic human needs is available at least 95% of time but must be made accessible to the population through investments in distribution infrastructure. Concerning the trade-off between agricultural use and hydropower production, there is virtually no potential for an increase in hydropower even if it is given priority. Agriculture will necessarily expand spatially as a result of population growth, and can even benefit from higher irrigation water availability per area unit, given improved irrigation efficiency and enforced regulation to ensure equitable distribution of available water. The decline in services from natural terrestrial ecosystems (e.g. charcoal, food), due to the expansion of agriculture, increases the vulnerability of residents who depend on such services mostly in times

  18. The future water environment--using scenarios to explore the significant water management challenges in England and Wales to 2050.

    PubMed

    Henriques, C; Garnett, K; Weatherhead, E K; Lickorish, F A; Forrow, D; Delgado, J

    2015-04-15

    Society gets numerous benefits from the water environment. It is crucial to ensure that water management practices deliver these benefits over the long-term in a sustainable and cost-effective way. Currently, hydromorphological alterations and nutrient enrichment pose the greatest challenges in European water bodies. The rapidly changing climatic and socio-economic boundary conditions pose further challenges to water management decisions and the achievement of policy goals. Scenarios are a strategic tool useful in conducting systematic investigations of future uncertainties pertaining to water management. In this study, the use of scenarios revealed water management challenges for England and Wales to 2050. A set of existing scenarios relevant to river basin management were elaborated through stakeholder workshops and interviews, relying on expert knowledge to identify drivers of change, their interdependencies, and influence on system dynamics. In a set of four plausible alternative futures, the causal chain from driving forces through pressures to states, impacts and responses (DPSIR framework) was explored. The findings suggest that scenarios driven by short-term economic growth and competitiveness undermine current environmental legislative requirements and exacerbate the negative impacts of climate change, producing a general deterioration of water quality and physical habitats, as well as reduced water availability with adverse implications for the environment, society and economy. Conversely, there are substantial environmental improvements under the scenarios characterised by long-term sustainability, though achieving currently desired environmental outcomes still poses challenges. The impacts vary across contrasting generic catchment types that exhibit distinct future water management challenges. The findings suggest the need to address hydromorphological alterations, nutrient enrichment and nitrates in drinking water, which are all likely to be

  19. Projected Future Distributions of Vectors of Trypanosoma cruzi in North America under Climate Change Scenarios

    PubMed Central

    Garza, Miroslava; Feria Arroyo, Teresa Patricia; Casillas, Edgar A.; Sanchez-Cordero, Victor; Rivaldi, Chissa-Louise; Sarkar, Sahotra

    2014-01-01

    Background Chagas disease kills approximately 45 thousand people annually and affects 10 million people in Latin America and the southern United States. The parasite that causes the disease, Trypanosoma cruzi, can be transmitted by insects of the family Reduviidae, subfamily Triatominae. Any study that attempts to evaluate risk for Chagas disease must focus on the ecology and biogeography of these vectors. Expected distributional shifts of vector species due to climate change are likely to alter spatial patterns of risk of Chagas disease, presumably through northward expansion of high risk areas in North America. Methodology/Principal Findings We forecast the future (2050) distributions in North America of Triatoma gerstaeckeri and T. sanguisuga, two of the most common triatomine species and important vectors of Trypanosoma cruzi in the southern United States. Our aim was to analyze how climate change might affect the future shift of Chagas disease in North America using a maximum entropy algorithm to predict changes in suitable habitat based on vector occurrence points and predictive environmental variables. Projections based on three different general circulation models (CCCMA, CSIRO, and HADCM3) and two IPCC scenarios (A2 and B2) were analyzed. Twenty models were developed for each case and evaluated via cross-validation. The final model averages result from all twenty of these models. All models had AUC >0.90, which indicates that the models are robust. Our results predict a potential northern shift in the distribution of T. gerstaeckeri and a northern and southern distributional shift of T. sanguisuga from its current range due to climate change. Conclusions/Significance The results of this study provide baseline information for monitoring the northward shift of potential risk from Chagas disease in the face of climate change. PMID:24831117

  20. Estimation of future carbon budget with climate change and reforestation scenario in North Korea

    NASA Astrophysics Data System (ADS)

    Kim, Damin; Lim, Chul-Hee; Song, Cholho; Lee, Woo-Kyun; Piao, Dongfan; Heo, Seongbong; Jeon, Seongwoo

    2016-09-01

    In terms of climate change, quantifying carbon budget in forest is critical for managing a role of forest as carbon sink. Deforestation in North Korea has been exacerbating at a noticeable pace and caused to worsen the carbon budget. Under the circumstance, this study aimed to assess the impact of climate change and reforestation on the carbon budget in 2020s and 2050s, using the VISIT (Vegetation Integrative SImulator for Trace gases) model. In order to analyze the impact of reforestation, future land cover maps for the 2020s and 2050s were prepared. Among the deforested areas (2.5 × 106 ha) identified by comparing land cover maps for different periods, the potential reforestation areas were selected by a reforestation scenario considering slope, accessibility from residence, and deforestation types. The extracted potential reforestation areas were 1.7 × 106 ha and the increased forest area was spatially distributed to each district. The percentage change in carbon budget caused by climate change from the 2000s to 2020s is 67.60% and that from the 2020s to 2050s is 45.98% on average. Based on the future land cover, NEP (net ecosystem production) with reforestation will increase by 18.18% than that without reforestation in the 2050s, which shows the contribution to carbon balance. In connection with this long term projection, it is revealed that the gross fluxes such as photosynthesis and respiration may be impacted more obviously by the climate change, especially global warming, than the net carbon flux because of the offset between the changes in the gross fluxes. It is analyzed that changes in carbon budget are very sensitive to climate changes, while the impact of reforestation is relatively less sensitive. Although it is impossible to significantly improve carbon sequestration by establishing forest in a short-term, reforestation is imperative in a long-term view as it clearly has a potential mechanism to offset emitted carbon.

  1. US National Climate Assessment (NCA) Scenarios for Assessing Our Climate Future: Issues and Methodological Perspectives Background Whitepaper for Participants

    SciTech Connect

    Moss, Richard H.; Engle, Nathan L.; Hall, John; Jacobs, Kathy; Lempert, Rob; Mearns, L. O.; Melillo, Jerry; Mote, Phil; O'Brien, Sheila; Rosenzweig, C.; Ruane, Alex; Sheppard, Stephen; Vallario, Robert W.; Wiek, Arnim; Wilbanks, Thomas

    2011-10-01

    This whitepaper is intended to provide a starting point for discussion at a workshop for the National Climate Assessment (NCA) that focuses on the use and development of scenarios. The paper will provide background needed by participants in the workshop in order to review options for developing and using scenarios in NCA. The paper briefly defines key terms and establishes a conceptual framework for developing consistent scenarios across different end uses and spatial scales. It reviews uses of scenarios in past U.S. national assessments and identifies potential users of and needs for scenarios for both the report scheduled for release in June 2013 and to support an ongoing distributed assessment process in sectors and regions around the country. Because scenarios prepared for the NCA will need to leverage existing research, the paper takes account of recent scientific advances and activities that could provide needed inputs. Finally, it considers potential approaches for providing methods, data, and other tools for assessment participants. We note that the term 'scenarios' has many meanings. An important goal of the whitepaper (and portions of the workshop agenda) is pedagogical (i.e., to compare different meanings and uses of the term and make assessment participants aware of the need to be explicit about types and uses of scenarios). In climate change research, scenarios have been used to establish bounds for future climate conditions and resulting effects on human and natural systems, given a defined level of greenhouse gas emissions. This quasi-predictive use contrasts with the way decision analysts typically use scenarios (i.e., to consider how robust alternative decisions or strategies may be to variation in key aspects of the future that are uncertain). As will be discussed, in climate change research and assessment, scenarios describe a range of aspects of the future, including major driving forces (both human activities and natural processes), changes in

  2. Scenarios of Future Climate and Land-Management Effects on Carbon Stocks in Northern Patagonian Shrublands

    NASA Astrophysics Data System (ADS)

    Carrera, Analia; Ares, Jorge; Labraga, Juan; Thurner, Stephanie; Bertiller, Mónica

    2007-12-01

    We analyzed the possible effects of grazing management and future climate change on carbon (C) stocks in soils of northern Patagonian shrublands. To this aim, we coupled the outputs of three (HadCM3, CSIRO Mk2, and CCSR/NIES) global climate models to the CENTURY (v5.3) model of terrestrial C balance. The CENTURY model was initialized with long-term field data on local biome physiognomy, seasonal phenologic trends, and prevailing land-management systems and was validated with recent sequences of 1-km Normalized Difference Vegetation Index (MODIS-Terra) images and soil C data. In the tested scenarios, the predicted climate changes would result in increased total C in soil organic matter (SOMTC). Maximum SOMTC under changed climate forcing would not differ significantly from that expected under baseline conditions (8 kg m-2). A decrease in grazing intensity would result in SOMTC increases of 11% to 12% even if climate changes did not occur. Climate change would account for SOMTC increases of 5% to 6%.

  3. Scenarios of future climate and land-management effects on carbon stocks in northern Patagonian shrublands.

    PubMed

    Carrera, Analia; Ares, Jorge; Labraga, Juan; Thurner, Stephanie; Bertiller, Mónica

    2007-12-01

    We analyzed the possible effects of grazing management and future climate change on carbon (C) stocks in soils of northern Patagonian shrublands. To this aim, we coupled the outputs of three (HadCM3, CSIRO Mk2, and CCSR/NIES) global climate models to the CENTURY (v5.3) model of terrestrial C balance. The CENTURY model was initialized with long-term field data on local biome physiognomy, seasonal phenologic trends, and prevailing land-management systems and was validated with recent sequences of 1-km Normalized Difference Vegetation Index (MODIS-Terra) images and soil C data. In the tested scenarios, the predicted climate changes would result in increased total C in soil organic matter (SOMTC). Maximum SOMTC under changed climate forcing would not differ significantly from that expected under baseline conditions (8 kg m(-2)). A decrease in grazing intensity would result in SOMTC increases of 11% to 12% even if climate changes did not occur. Climate change would account for SOMTC increases of 5% to 6%. PMID:17786512

  4. Response of extreme flood characteristics based on future climate change scenarios at Yermasoyia watershed, Cyprus

    NASA Astrophysics Data System (ADS)

    Vasiliades, Lampros; Gkilimanakis, Eleftherios; Loukas, Athanasios

    2014-05-01

    The aim of this study which was performed within working group 4 in the FloodFreq COST Action is to assess and quantify changes in daily streamflow and subsequent flood response modelling due to potential climate change in Yermasoyia watershed, Cyprus. Eight statistical downscaling methods are used to estimate historical and future daily precipitation and temperature timeseries. Four methods are based on change factors and four are bias correction methods and these methods are used to downscale precipitation and temperature output from fifteen RCMs from the ENSEMBLES project. Several well-known lumped hydrological model structures (such as the GR4J, the IHACRES models, and the AWBM) are applied to estimate the daily streamflows. Performance of the models is evaluated with the use of fit statistics or metrics for calibration and validation periods using the split sample test. A set of flood indices are derived from the daily simulated streamflows and their changes have been evaluated by comparing the periods 1960-1990 and 2070-2100. The results show that both the magnitude and the volume of annual peakflows is decreasing fow all examined scenarios, downscaling methods and employed hydrological models.

  5. The Epidemic of Zika Virus-Related Microcephaly in Brazil: Detection, Control, Etiology, and Future Scenarios.

    PubMed

    Teixeira, Maria G; Costa, Maria da Conceição N; de Oliveira, Wanderson K; Nunes, Marilia Lavocat; Rodrigues, Laura C

    2016-04-01

    We describe the epidemic of microcephaly in Brazil, its detection and attempts to control it, the suspected causal link with Zika virus infection during pregnancy, and possible scenarios for the future. In October 2015, in Pernambuco, Brazil, an increase in the number of newborns with microcephaly was reported. Mothers of the affected newborns reported rashes during pregnancy and no exposure to other potentially teratogenic agents. Women delivering in October would have been in the first trimester of pregnancy during the peak of a Zika epidemic in March. By the end of 2015, 4180 cases of suspected microcephaly had been reported. Zika spread to other American countries and, in February 2016, the World Health Organization declared the Zika epidemic a public health emergency of international concern. This unprecedented situation underscores the urgent need to establish the evidence of congenital infection risk by gestational week and accrue knowledge. There is an urgent call for a Zika vaccine, better diagnostic tests, effective treatment, and improved mosquito-control methods. PMID:26959259

  6. Modelling the Northward Expansion of Culicoides sonorensis (Diptera: Ceratopogonidae) under Future Climate Scenarios

    PubMed Central

    Lysyk, Timothy; Johnson, Gregory; Marshall, Shawn; Berger, Kathryn; Cork, Susan Catherine

    2015-01-01

    Climate change is affecting the distribution of pathogens and their arthropod vectors worldwide, particularly at northern latitudes. The distribution of Culicoides sonorensis (Diptera: Ceratopogonidae) plays a key role in affecting the emergence and spread of significant vector borne diseases such as Bluetongue (BT) and Epizootic Hemorrhagic Disease (EHD) at the border between USA and Canada. We used 50 presence points for C. sonorensis collected in Montana (USA) and south-central Alberta (Canada) between 2002 and 2012, together with monthly climatic and environmental predictors to develop a series of alternative maximum entropy distribution models. The best distribution model under current climatic conditions was selected through the Akaike Information Criterion, and included four predictors: Vapour Pressure Deficit of July, standard deviation of Elevation, Land Cover and mean Precipitation of May. This model was then projected into three climate change scenarios adopted by the IPCC in its 5th assessment report and defined as Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5. Climate change data for each predictor and each RCP were calculated for two time points pooling decadal data around each one of them: 2030 (2021–2040) and 2050 (2041–2060). Our projections showed that the areas predicted to be at moderate-high probability of C. sonorensis occurrence would increase from the baseline scenario to 2030 and from 2030 to 2050 for each RCP. The projection also indicated that the current northern limit of C. sonorensis distribution is expected to move northwards to above 53°N. This may indicate an increased risk of Culicoides-borne diseases occurrence over the next decades, particularly at the USA-Canada border, as a result of changes which favor C. sonorensis presence when associated to other factors (i.e. host and pathogen factors). Recent observations of EHD outbreaks in northern Montana and southern Alberta supported our projections and

  7. Modelling the Northward Expansion of Culicoides sonorensis (Diptera: Ceratopogonidae) under Future Climate Scenarios.

    PubMed

    Zuliani, Anna; Massolo, Alessandro; Lysyk, Timothy; Johnson, Gregory; Marshall, Shawn; Berger, Kathryn; Cork, Susan Catherine

    2015-01-01

    Climate change is affecting the distribution of pathogens and their arthropod vectors worldwide, particularly at northern latitudes. The distribution of Culicoides sonorensis (Diptera: Ceratopogonidae) plays a key role in affecting the emergence and spread of significant vector borne diseases such as Bluetongue (BT) and Epizootic Hemorrhagic Disease (EHD) at the border between USA and Canada. We used 50 presence points for C. sonorensis collected in Montana (USA) and south-central Alberta (Canada) between 2002 and 2012, together with monthly climatic and environmental predictors to develop a series of alternative maximum entropy distribution models. The best distribution model under current climatic conditions was selected through the Akaike Information Criterion, and included four predictors: Vapour Pressure Deficit of July, standard deviation of Elevation, Land Cover and mean Precipitation of May. This model was then projected into three climate change scenarios adopted by the IPCC in its 5th assessment report and defined as Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5. Climate change data for each predictor and each RCP were calculated for two time points pooling decadal data around each one of them: 2030 (2021-2040) and 2050 (2041-2060). Our projections showed that the areas predicted to be at moderate-high probability of C. sonorensis occurrence would increase from the baseline scenario to 2030 and from 2030 to 2050 for each RCP. The projection also indicated that the current northern limit of C. sonorensis distribution is expected to move northwards to above 53°N. This may indicate an increased risk of Culicoides-borne diseases occurrence over the next decades, particularly at the USA-Canada border, as a result of changes which favor C. sonorensis presence when associated to other factors (i.e. host and pathogen factors). Recent observations of EHD outbreaks in northern Montana and southern Alberta supported our projections and considerations

  8. Water scarcity in the Spanish part of the Douro basin: current status and future scenarios

    NASA Astrophysics Data System (ADS)

    Jesús Vicente, David; Rodriguez-Sinobas, Leonor

    2016-04-01

    many European studies. This model is used by the Spanish National Hydrological Authority to develop the River Basin Plans. The study has considered a monthly time step resolution and four scenarios: the present state (2015), and the prediction for 2021, 2027 and 2033 which will highlight future water demands and water availability in the area considering climate change assumptions. Results showed that for a given scenarios, water scarcity is only highlighted if the WEI+ indicator is calculated at a monthly basis but not necessarily at the annual one. Hence, the monthly resolution would be preferred to study seasonal water shortages.

  9. Application of a scenario-based modeling system to evaluate the air quality impacts of future growth

    NASA Astrophysics Data System (ADS)

    Kahyaoğlu-Koračin, Jülide; Bassett, Scott D.; Mouat, David A.; Gertler, Alan W.

    The structure and design of future urban development can have significant adverse effects on air pollutant emissions as well as other environmental factors. When considering the future impact of growth on mobile source emissions, we generally model the increase in vehicle kilometers traveled (VKT) as a function of population growth. However, diverse and poorly planned urban development (i.e., urban sprawl) can force higher rates of motor vehicle use and in return increase levels of pollutant emissions than alternative land-use scenarios. The objective of this study is to develop and implement an air quality assessment tool that takes into account the influence of alternative growth and development scenarios on air quality. The use of scenario-based techniques in land use planning has been around since the late 1940s and been tested in many different applications to aid in decision-making. In this study, we introduce the development of an advanced interactive scenario-based land use and atmospheric chemistry modeling system coupled with a GIS (Geographical Information System) framework. The modeling system is designed to be modular and includes land use/land cover information, transportation, meteorological, emissions, and photochemical modeling components. The methods and modularity of the developed system allow its application to both broad areas and applications. To investigate the impact of possible land use change and urbanization, we evaluated a set of alternative future patterns of land use developed for a study area in Southwest California. Four land use and two population variants (increases of 500k and 1M) were considered. Overall, a Regional Low-Density Future was seen to have the highest pollutant emissions, largest increase in VKT, and the greatest impact on air quality. On the other hand, a Three-Centers Future appeared to be the most beneficial alternative future land-use scenario in terms of air quality. For all cases, the increase in population was

  10. Global Air Quality Predictions of Particulate Matter in the Middle East and Sensitivity to Future Emissions Scenarios

    NASA Astrophysics Data System (ADS)

    Couzo, E. A.; Holmes, C. D.; Paltsev, S.; Alawad, A.; Selin, N. E.

    2014-12-01

    We examine the influence of natural and anthropogenic drivers of future PM in the Middle East region using two future emissions scenarios to drive the GEOS-Chem atmospheric chemistry model. The Arabian Peninsula is a major source of windblown dust as well as anthropogenic aerosols. Future emissions - driven jointly and individually by climate change and anthropogenic emissions from this rapidly growing region - will play an important role in both climate forcing and human health impacts from particulate matter. We use two scenarios to compare their climate and air quality implications. First, we use the Intergovernmental Panel on Climate Change Representative Concentration Pathways (RCPs) for four radiative forcing cases. Second, we develop a consistent future greenhouse gas and conventional pollutant emission inventory using the MIT Emissions Prediction and Policy Analysis (EPPA) model, which is a general equilibrium model of the global economy that calculates how economic growth and anthropogenic emissions change as a result of policies and other stressors. With EPPA, we examine three emissions cases, a business-as-usual case and two stabilization cases leading to anthropogenic radiative forcings of 3.7 W/m2 and 4.5 W/m2. We use these scenarios to drive GEOS-Chem for present and future climate, assessing changes in chemical composition of aerosol and drivers, both natural and anthropogenic, out to 2050. We find that projected anthropogenic emissions are strong determinants of future particulate matter air quality in the Middle East region.

  11. Cloud cover climatologies in the Mediterranean obtained from satellites, surface observations, reanalyses, and CMIP5 simulations: validation and future scenarios

    NASA Astrophysics Data System (ADS)

    Enriquez-Alonso, Aaron; Sanchez-Lorenzo, Arturo; Calbó, Josep; González, Josep-Abel; Norris, Joel R.

    2015-09-01

    Clouds are an important regulator of climate due to their connection to the water balance of the atmosphere and their interaction with solar and infrared radiation. In this study, monthly total cloud cover (TCC) records from different sources have been inter-compared on annual and seasonal basis for the Mediterranean region and the period 1984-2005. Specifically, gridded databases from satellite projects (ISCCP, CLARA, PATMOS-x), from reanalysis products (ERA-Interim, MERRA), and from surface observations over land (EECRA) and ocean (ICOADS) have been examined. Then, simulations from 44 climate runs of the Coupled Model Intercomparison Project phase 5 corresponding to the historical scenario have been compared against the observations. Overall, we find good agreement between the mean values of TCC estimated from the three satellite products and from surface observations, while reanalysis products show much lower values across the region. Nevertheless, all datasets show similar behavior regarding the annual cycle of TCC. In addition, our results indicate an underestimation of TCC from climate model simulations as compared to the satellite products, especially during summertime, although the annual cycle is well simulated by most models. This result is quite general and apparently independent of the cloud parameterizations included in each particular model. Equally, similar results are obtained if the ISCCP simulator included in the Cloud Feedback Model Intercomparison Project Observation Simulator Package is considered, despite only few models provide the post-processed results. Finally, GCM projections of TCC over the Mediterranean are presented. These projections predict a reduction of TCC during the 21st century in the Mediterranean. Specifically, for an extreme emission scenario (RCP8.5) the projected relative rate of TCC decrease is larger than 10 % by the end of the century.

  12. Cloud cover climatologies in the Mediterranean obtained from satellites, surface observations, reanalyses, and CMIP5 simulations: validation and future scenarios

    NASA Astrophysics Data System (ADS)

    Enriquez-Alonso, Aaron; Sanchez-Lorenzo, Arturo; Calbó, Josep; González, Josep-Abel; Norris, Joel R.

    2016-07-01

    Clouds are an important regulator of climate due to their connection to the water balance of the atmosphere and their interaction with solar and infrared radiation. In this study, monthly total cloud cover (TCC) records from different sources have been inter-compared on annual and seasonal basis for the Mediterranean region and the period 1984-2005. Specifically, gridded databases from satellite projects (ISCCP, CLARA, PATMOS-x), from reanalysis products (ERA-Interim, MERRA), and from surface observations over land (EECRA) and ocean (ICOADS) have been examined. Then, simulations from 44 climate runs of the Coupled Model Intercomparison Project phase 5 corresponding to the historical scenario have been compared against the observations. Overall, we find good agreement between the mean values of TCC estimated from the three satellite products and from surface observations, while reanalysis products show much lower values across the region. Nevertheless, all datasets show similar behavior regarding the annual cycle of TCC. In addition, our results indicate an underestimation of TCC from climate model simulations as compared to the satellite products, especially during summertime, although the annual cycle is well simulated by most models. This result is quite general and apparently independent of the cloud parameterizations included in each particular model. Equally, similar results are obtained if the ISCCP simulator included in the Cloud Feedback Model Intercomparison Project Observation Simulator Package is considered, despite only few models provide the post-processed results. Finally, GCM projections of TCC over the Mediterranean are presented. These projections predict a reduction of TCC during the 21st century in the Mediterranean. Specifically, for an extreme emission scenario (RCP8.5) the projected relative rate of TCC decrease is larger than 10 % by the end of the century.

  13. Future Wave Height Situation estimated by the Latest Climate Scenario around Funafuti Atoll, Tuvalu

    NASA Astrophysics Data System (ADS)

    Sato, D.; Yokoki, H.; Kuwahara, Y.; Yamano, H.; Kayanne, H.; Okajima, H.; Kawamiya, M.

    2012-12-01

    Sea-level rise due to the global warming is significant phenomenon to coastal region in the world. Especially the atoll islands, which are low-lying and narrow, have high vulnerability against the sea-level rise. Recently the improved future climate projection (MIROC-ESM) was provided by JAMSTEC, which adopted the latest climate scenarios based on the RCP (Representative Concentration Pathway) of the green house gasses. Wave field simulation including the latest sea-level rise pathway by MIROC-ESM was conducted to understand the change of significant wave heights in Funafuti Atoll, Tuvalu, which was an important factor to manage the coast protection. MIROC-ESM provides monthly sea surface height in the fine gridded world (1.5 degree near the equator). Wave field simulation was conducted using the climate scenario of RCP45 in which the radioactive forcing of the end of 21st century was stabilized to 4.5 W/m2. Sea-level rise ratio of every 10 years was calculated based on the historical data set from 1850 to 2005 and the estimated data set from 2006 to 2100. In that case, the sea-level increases by 10cm after 100 years. In this study, the numerical simulation of wave field at the rate of sea-level rise was carried out using the SWAN model. The wave and wind conditions around Funafuti atoll is characterized by two seasons that are the trade (Apr. - Nov.) and non-trade (Jan. - Mar., Dec.) wind season. Then, we set up the two seasonal boundary conditions for one year's simulation, which were calculated from ECMWF reanalysis data. Simulated results of significant wave heights are analyzed by the increase rate (%) calculated from the base results (Average for 2000 - 2005) and the results of 2100. Calculated increase rate of the significant wave height for both seasons was extremely high on the reef-flat. Maximum increase rates of the trade and non-trade wind season were 1817% and 686%, respectively. The southern part of the atoll has high increasing rate through the two

  14. Gazing into the Crystal Ball: Using Scenarios for Future Visioning of a Distance Learning Library Service

    ERIC Educational Resources Information Center

    Casey, Anne Marie; Cawthorne, Jon E.; Citro, Kathleen

    2014-01-01

    This article describes the use of scenarios as a tool to assist a large distance learning library service in its strategic planning. Through a description of the scenario process from beginning to end, the authors detail the steps that the library director and the consultant took initially; their missteps; and the successful conclusion. This study…

  15. Work-Based Learning in the UK: Scenarios for the Future

    ERIC Educational Resources Information Center

    Mohamud, Mohamed; Jennings, Chris; Rix, Mike; Gold, Jeff

    2006-01-01

    Purpose: Aims to consider scenarios created by work-based learning (WBL) providers in the Tees Valley in the UK. Design/methodology/approach: The context of WBL is examined in relation to the notion of the skills gap. The method of scenario development is described. Findings: A key task of WBL is to raise the skills levels of young people. WBL…

  16. Risk of spring frost to apple production under future climate scenarios: the role of phenological acclimation

    NASA Astrophysics Data System (ADS)

    Eccel, Emanuele; Rea, Roberto; Caffarra, Amelia; Crisci, Alfonso

    2009-05-01

    In the context of global warming, the general trend towards earlier flowering dates of many temperate tree species is likely to result in an increased risk of damage from exposure to frost. To test this hypothesis, a phenological model of apple flowering was applied to a temperature series from two locations in an important area for apple production in Europe (Trentino, Italy). Two simulated 50-year climatic projections (A2 and B2 of the Intergovernmental Panel on Climate Change - Special Report on Emission Scenarios) from the HadCM3 general circulation model were statistically downscaled to the two sites. Hourly temperature records over a 40-year period were used as the reference for past climate. In the phenological model, the heat requirement (degree hours) for flowering was parameterized using two approaches; static (constant over time) and dynamic (climate dependent). Parameterisation took into account the trees’ adaptation to changing temperatures based on either past instrumental records or the downscaled outputs from the climatic simulations. Flowering dates for the past 40 years and simulated flowering dates for the next 50 years were used in the model. A significant trend towards earlier flowering was clearly detected in the past. This negative trend was also apparent in the simulated data. However, the significance was less apparent when the “dynamic” setting for the degree hours requirement was used in the model. The number of frost episodes and flowering dates, on an annual basis, were graphed to assess the risk of spring frost. Risk analysis confirmed a lower risk of exposure to frost at present than in the past, and probably either constant or a slightly lower risk in future, especially given that physiological processes are expected to acclimate to higher temperatures.

  17. Heathlands confronting global change: drivers of biodiversity loss from past to future scenarios

    PubMed Central

    Fagúndez, Jaime

    2013-01-01

    effects of not only individual factors, but their interactions, together with land-use history, on heathland development and conservation in order to predict habitat response to future scenarios. PMID:23223202

  18. Coping with Commitment: Projected Thermal Stress on Coral Reefs under Different Future Scenarios

    PubMed Central

    Donner, Simon D.

    2009-01-01

    Background Periods of anomalously warm ocean temperatures can lead to mass coral bleaching. Past studies have concluded that anthropogenic climate change may rapidly increase the frequency of these thermal stress events, leading to declines in coral cover, shifts in the composition of corals and other reef-dwelling organisms, and stress on the human populations who depend on coral reef ecosystems for food, income and shoreline protection. The ability of greenhouse gas mitigation to alter the near-term forecast for coral reefs is limited by the time lag between greenhouse gas emissions and the physical climate response. Methodology/Principal Findings This study uses observed sea surface temperatures and the results of global climate model forced with five different future emissions scenarios to evaluate the “committed warming” for coral reefs worldwide. The results show that the physical warming commitment from current accumulation of greenhouse gases in the atmosphere could cause over half of the world's coral reefs to experience harmfully frequent (p≥0.2 year−1) thermal stress by 2080. An additional “societal” warming commitment, caused by the time required to shift from a business-as-usual emissions trajectory to a 550 ppm CO2 stabilization trajectory, may cause over 80% of the world's coral reefs to experience harmfully frequent events by 2030. Thermal adaptation of 1.5°C would delay the thermal stress forecast by 50–80 years. Conclusions/Significance The results suggest that adaptation – via biological mechanisms, coral community shifts and/or management interventions – could provide time to change the trajectory of greenhouse gas emissions and possibly avoid the recurrence of harmfully frequent events at the majority (97%) of the world's coral reefs this century. Without any thermal adaptation, atmospheric CO2 concentrations may need to be stabilized below current levels to avoid the degradation of coral reef ecosystems from frequent thermal

  19. Alfalfa forage digestibility, quality and yield under future climate change scenarios vary with Sinorhizobium meliloti strain.

    PubMed

    Sanz-Sáez, Álvaro; Erice, Gorka; Aguirreolea, Jone; Muñoz, Fernando; Sánchez-Díaz, Manuel; Irigoyen, Juan José

    2012-05-15

    Elevated CO(2) may decrease alfalfa forage quality and in vitro digestibility through a drop in crude protein and an enhancement of fibre content. The aim of the present study was to analyse the effect of elevated CO(2), elevated temperature and Sinorhizobium meliloti strains (102F78, 102F34 and 1032 GMI) on alfalfa yield, forage quality and in vitro dry matter digestibility. This objective is in line with the selection of S. meliloti strains in order to maintain high forage yield and quality under future climate conditions. Plants inoculated with the 102F34 strain showed more DM production than those inoculated with 1032GMI; however, these strains did not show significant differences with 102F78 plants. Neutral or acid detergent fibres were not enhanced in plants inoculated with the 102F34 strain under elevated CO(2) or temperature and hence, in vitro dry matter digestibility was unaffected. Crude protein content, an indicator of forage quality, was negatively related to shoot yield. Plants inoculated with 102F78 showed a similar shoot yield to those inoculated with 102F34, but had higher crude protein content at elevated CO(2) and temperature. Under these climate change conditions, 102F78 inoculated plants produced higher quality forage. However, the higher digestibility of plants inoculated with the 102F34 strain under any CO(2) or temperature conditions makes them more suitable for growing under climate change conditions. In general, elevated CO(2) in combination with high temperature (Climate Change scenario) reduced IVDMD and CP content and enhanced fibre content, which means that animal production will be negatively affected. PMID:22369772

  20. The use of scenario analysis in local public health departments: alternative futures for strategic planning.

    PubMed Central

    Venable, J M; Ma, Q L; Ginter, P M; Duncan, W J

    1993-01-01

    Scenario analysis is a strategic planning technique used to describe and evaluate an organization's external environment. A methodology for conducting scenario analysis using the Jefferson County Department of Health and the national, State, and county issues confronting it is outlined. Key health care and organizational issues were identified using published sources, focus groups, questionnaires, and personal interviews. The most important of these issues were selected by asking health department managers to evaluate the issues according to their probability of occurrence and likely impact on the health department. The high-probability, high-impact issues formed the basis for developing scenario logics that constitute the story line holding the scenario together. The results were a set of plausible scenarios that aided in strategic planning, encouraged strategic thinking among managers, eliminated or reduced surprise about environmental changes, and improved managerial discussion and communication. PMID:8265754

  1. Research in a Scenario of Change: Why Research Institutions Should Begin To Plan for the Future.

    ERIC Educational Resources Information Center

    Krebs, Martha A.

    1997-01-01

    Discusses emerging ideas about the future of federal research and development activities as they relate to the future of industry and especially to institutions of higher learning. Discusses energy research today, a future perspective, the future of the research community, and challenges. Highlights the future orientation of the Office of Energy…

  2. HASSET: a probability event tree tool to evaluate future volcanic scenarios using Bayesian inference. Presented as a plugin for QGIS.

    NASA Astrophysics Data System (ADS)

    Sobradelo, Rosa; Bartolini, Stefania; Martí, Joan

    2014-05-01

    Event tree structures constitute one of the most useful and necessary tools of modern volcanology to assess the volcanic hazard of future volcanic scenarios. They are particularly relevant to evaluate long- and short-term probabilities of occurrence of possible volcanic scenarios and their potential impacts on urbanized areas. Here we introduce HASSET, a Hazard Assessment Event Tree probability tool, built on an event tree structure that uses Bayesian inference to estimate the probability of occurrence of a future volcanic scenario, and to evaluate the most relevant sources of uncertainty from the corresponding volcanic system. HASSET includes hazard assessment of non-eruptive and non-magmatic volcanic scenarios, that is, episodes of unrest that do not evolve into volcanic eruption but have an associated volcanic hazard (eg. sector collapse and phreatic explosion), as well as those with external triggers as primary sources of unrest (as opposed to magmatic unrest alone). Additionally, HASSET introduces the Delta method to assess how precise the probability estimates are, by reporting a one standard deviation variability interval around the expected value for each scenario. HASSET is presented as a free software package in the form of a plugin for the open source geographic information system Quantum Gis (QGIS), providing a graphically supported computation of the event tree structure in an interactive and user-friendly way. We also include an example of HASSET applied to Teide-Pico Viejo volcanic complex (Spain).

  3. Economic-based projections of future land use in the conterminous United States under alternative policy scenarios.

    PubMed

    Radeloff, V C; Nelson, E; Plantinga, A J; Lewis, D J; Helmers, D; Lawler, J J; Withey, J C; Beaudry, F; Martinuzzi, S; Butsic, V; Lonsdorf, E; White, D; Polasky, S

    2012-04-01

    Land-use change significantly contributes to biodiversity loss, invasive species spread, changes in biogeochemical cycles, and the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected land use at the fine spatial scales relevant for modeling many ecological processes and at dimensions appropriate for regional or national-level policy making. Our goal was to construct and parameterize an econometric model of land-use change to project future land use to the year 2051 at a fine spatial scale across the conterminous United States under several alternative land-use policy scenarios. We parameterized the econometric model of land-use change with the National Resource Inventory (NRI) 1992 and 1997 land-use data for 844 000 sample points. Land-use transitions were estimated for five land-use classes (cropland, pasture, range, forest, and urban). We predicted land-use change under four scenarios: business-as-usual, afforestation, removal of agricultural subsidies, and increased urban rents. Our results for the business-as-usual scenario showed widespread changes in land use, affecting 36% of the land area of the conterminous United States, with large increases in urban land (79%) and forest (7%), and declines in cropland (-16%) and pasture (-13%). Areas with particularly high rates of land-use change included the larger Chicago area, parts of the Pacific Northwest, and the Central Valley of California. However, while land-use change was substantial, differences in results among the four scenarios were relatively minor. The only scenario that was markedly different was the afforestation scenario, which resulted in an increase of forest area that was twice as high as the business-as-usual scenario. Land-use policies can affect trends, but only so much. The basic economic and demographic factors shaping land-use changes in the United States are powerful, and even fairly dramatic policy changes, showed only moderate

  4. Uncertainty in flow and sediment projections due to future climate scenarios for the 3S Rivers in the Mekong Basin

    NASA Astrophysics Data System (ADS)

    Shrestha, Bikesh; Cochrane, Thomas A.; Caruso, Brian S.; Arias, Mauricio E.; Piman, Thanapon

    2016-09-01

    Reliable projections of discharge and sediment are essential for future water and sediment management plans under climate change, but these are subject to numerous uncertainties. This study assessed the uncertainty in flow and sediment projections using the Soil and Water Assessment Tool (SWAT) associated with three Global Climate Models (GCMs), three Representative Concentration Pathways (RCPs) and three model parameter (MP) sets for the 3S Rivers in the Mekong River Basin. The uncertainty was analyzed for the short term future (2021-2040 or 2030s) and long term future (2051-2070 or 2060s) time horizons. Results show that dominant sources of uncertainty in flow and sediment constituents vary spatially across the 3S basin. For peak flow, peak sediment, and wet seasonal flows projection, the greatest uncertainty sources also vary with time horizon. For 95% low flows and for seasonal and annual flow projections, GCM and MP were the major sources of uncertainty, whereas RCPs had less of an effect. The uncertainty due to RCPs is large for annual sediment load projections. While model parameterization is the major source of uncertainty in the short term (2030s), GCMs and RCPs are the major contributors to uncertainty in flow and sediment projections in the longer term (2060s). Overall, the uncertainty in sediment load projections is larger than the uncertainty in flow projections. In general, our results suggest the need to investigate the major contributing sources of uncertainty in large basins temporally and at different scales, as this can have major consequences for water and sediment management decisions. Further, since model parameterization uncertainty can play a significant role for flow and sediment projections, there is a need to incorporate hydrological model parameter uncertainty in climate change studies and efforts to reduce the parameter uncertainty as much as possible should be considered through a careful calibration and validation process.

  5. Synthetic fuels development in Kentucky: Four scenarios for an energy future as constructed from lessons of the past

    NASA Astrophysics Data System (ADS)

    Musulin, Mike, II

    The continued failure of synthetic fuels development in the United States to achieve commercialization has been documented through the sporadic periods of mounting corporate and government enthusiasm and high levels of research and development efforts. Four periods of enthusiasm at the national level were followed by waning intervals of shrinking financial support and sagging R&D work. The continuing cycle of mobilization and stagnation has had a corresponding history in Kentucky. To better understand the potential and the pitfalls of this type of technological development the history of synthetic fuels development in the United States is presented as background, with a more detailed analysis of synfuels development in Kentucky. The first two periods of interest in synthetic fuels immediately after the Second World War and in the 1950s did not result in any proposed plants for Kentucky, but the third and fourth periods of interest created a great deal of activity. A theoretically grounded case study is utilized in this research project to create four different scenarios for the future of synthetic fuels development. The Kentucky experience is utilized in this case study because a fifth incarnation of synthetic fuels development has been proposed for the state in the form of an integrated gasification combined cycle power plant (IGCC) to utilize coal and refuse derived fuel (RDF). The project has been awarded a grant from the U.S. Department of Energy Clean Coal Technology program. From an examination and analysis of these periods of interest and the subsequent dwindling of interest and participation, four alternative scenarios are constructed. A synfuels breakthrough scenario is described whereby IGCC becomes a viable part of the country's energy future. A multiplex scenario describes how IGCC becomes a particular niche in energy production. The status quo scenario describes how the old patterns of project failure repeat themselves. The fourth scenario describes

  6. The new ENSEMBLES E1 mitigation scenario for future climate simulations

    NASA Astrophysics Data System (ADS)

    Royer, J.-F.; Lowe, J.; Johns, T.; van Vuuren, D.; Stehfest, E.; Denoblet-Ducoudré, N.; Boucher, O.; Rognerud, B.; Huebener, H.

    2009-04-01

    Climate simulations with state-of-the-art earth-system models are required to study the potential impacts of climate change, and possible solutions for avoiding, or reducing, some of its undesirable consequences. Though several emission scenarios have been applied for the IPCC AR4 assessments, the differences in the SRES scenarios result mainly from varying degrees of globalization, the role of environmental and social policy, economic and population growth and the rate of technology development. It seems then necessary to consider also more stringent mitigation pathways which aim eventually to implement a climate mitigation policy. In particular it appears particularly useful to implement and analyse climate scenarios for stabilising the additional anthropogenic radiative forcing to that equivalent to a carbon dioxide concentration at around 450 ppm during the 22nd Century for attempting to match the European Union target of keeping global anthropogenic warming below 2°C above pre-industrial levels. A new set of climate simulations over the 21st century with improved earth-system models has thus been designed by the European modelling groups participating to the European FP6 project ENSEMBLES, as a contribution to the second phase ("Stream 2") of the project. The set-up of the new simulations, though basically similar to that used in the CMIP3 simulations for the IPCC AR4, has been improved by taking into account land-use changes. The simulations cover the recent historical period (1860-2000) and are extended over the the 21st century by two scenarios based on the A1B development path. The A1B scenario has been chosen as the baseline scenario for the ENSEMBLES stream 2 simulations because the strong increase in emissions is consistent with real emissions growth, and in order provide overlap with earlier climate modelling work. Besides the standard A1B SRES scenario, a new stabilisation scenario has been developed so as to limit the long-term radiative forcing to

  7. Biodiversity losses and conservation trade-offs: Assessing future urban growth scenarios for a North American trade corridor

    USGS Publications Warehouse

    Villarreal, Miguel; Norman, Laura M.; Wallace, Cynthia S.A.; Boykin, Kenneth

    2013-01-01

    The Sonoran Desert and Apache Highlands ecoregions of North America are areas of exceptionally high plant and vertebrate biodiversity. However, much of the vertebrate biodiversity is supported by only a few vegetation types with limited distributions, some of which are increasingly threatened by changing land uses. We assessed the impacts of two future urban growth scenarios on biodiversity in a binational watershed in Arizona, USA and Sonora, Mexico. We quantified and mapped terrestrial vertebrate species richness using Wildlife Habitat Relation models and validated the results with data from National Park Service biological inventories. Future urban growth, based on historical trends, was projected to the year 2050 for 1) a “Current Trends” scenario and, 2) a “Megalopolis” scenario that represented a transnational growth corridor with open-space conservation attributes. Based on Current Trends, 45% of existing riparian woodland (267 of 451species), and 34% of semi-desert grasslands (215 of 451 species) will be lost, whereas, in the Megalopolis scenario, these types would decline by 44% and 24% respectively. Outcomes of the two models suggest a trade-off at the taxonomic class level: Current Trends would reduce and fragment mammal and herpetofauna habitat, while Megalopolis would result in loss of avian-rich riparian habitat.

  8. Exploring the Future Role of Asia Utilizing A Scenario Matrix Architecture and Shared Socio-Ecosystem Pathways

    SciTech Connect

    Eom, Jiyong; Calvin, Katherine V.; Clarke, Leon E.; Edmonds, James A.; Kim, Son H.; Kopp, Roberrt; Kyle, G. Page; Luckow, Patrick; Moss, Richard H.; Patel, Pralit L.; Wise, Marshall A.

    2012-12-01

    We explore the implications of alternative pathways for human population and economic development for the role of Asia in both reference, no-climate-policy, scenarios and scenarios in which climate forcing is limited. We consider three different reference scenarios, which we refer to as Shared Socio-ecosystem Pathways (SSPs) and four different levels of limitation on climate forcing, which we refer to as Shared Policy Assumptions (SPAs). SSPs are differentiated by population and economic growth assumptions, while SPAs are differentiated on the level of radiative forcing in the year 2100. Regardless of the scenarios we examined Asia plays a central role in shaping the world’s future with nearly half of the world’s people and more than half of the world’s economic activity and energy consumption. The future of Asian and world are dramatically different across the various combinations of SSPs and SPAs. High population worlds place significant stress on Asian resources and ecosystems. In high population SSPs the poorest members of the population face high energy and food prices and the more stringent the level of emissions mitigation, the more stress poor populations experience, though the more stringent the emissions mitigation, the larger the area of unmanaged ecosystems that are preserved.

  9. Application of the new scenario framework for climate change research: Future social vulnerability in large urban areas

    NASA Astrophysics Data System (ADS)

    Rohat, Guillaume; Flacke, Johannes; Dao, Hy

    2016-04-01

    It is by now widely acknowledged that future social vulnerability to climate change depends on both future climate state and future socio-economic conditions. Nevertheless, while most of the vulnerability assessments are using climate projections, the integration of socio-economic projections into the assessment of vulnerabilities has been very limited. Up to now, the vast majority of vulnerability assessments has been using current socio-economic conditions, hence has failed to consider the influence of socio-economic developments in the construction of vulnerability. To enhance the use of socio-economic projections into climate change impacts, adaptation and vulnerability assessments, the climate change research community has been recently involved in the development of a new model for creating scenarios that integrate future changes in climate as well as in society, known under the name of the new scenario framework for climate change research. This theoretical framework is made of a set of alternative futures of socio-economic developments (known as shared socio-economic pathways - SSPs), a set of hypothesis about future climate policies (known as shared policy assumptions - SPAs) and a set of greenhouse gas concentration trajectories (known as representative concentration pathways - RCPs), which are all combined into a scenario matrix architecture (SMA) whose aim is to facilitate the use of this framework. Despite calls by the climate change research community for the use of this conceptual framework in impacts, adaptation and vulnerability research, its use and its assessment has been very limited. Focusing on case-studies (i.e. specific cities as well as specific climate impacts and their associated human exposures and vulnerabilities), the study presented here will attempt to operationalize this theoretical framework for the assessment of future social vulnerability in large urban areas. A particular attention will be paid to less advanced and more

  10. Simulating Lake and Wetland Areal Coverage and Numbers under Scenarios of Future Groundwater Recharge: Lake Mega-system of the Nebraska Sand Hills

    NASA Astrophysics Data System (ADS)

    Zlotnik, V. A.; Rossman, N. R.; Rowe, C. M.

    2015-12-01

    Integrated groundwater (GW) and surface water (SW) systems in arid parts of the world respond to and recover slowly from climate changes. This creates multi-generational issues with dramatic economic, social, and ecological consequences, and could likely be the case in the future for the High Plains aquifer. Despite the semi-arid climate of the Nebraska Sand Hills (NSH), groundwater recharge (GR) rates are the highest in the entire High Plains aquifer region, mostly because of thick, highly permeable sand dunes. Along with the large capacity aquifer, the GR rates in the NSH contribute to relatively steady stream baseflows and a shallow water table, creating a very complex system of several thousands of shallow (about 0.8 m on average) closed-basin lakes, and wetlands, integrated with GW. To explore the GW dynamics and address the possibility, and uncertainty range of impacts caused by future climate change on surface water, we quantified potential changes to GR rates resulting from three thoughtfully-selected Global Circulation Model (GCM) projections from the WCRP CMIP3 archive. Cumulative future period GR (as the difference between precipitation and evapotranspiration) was used as the criterion to select GCM runs, including total cumulative GR (from 2010 to 2099) nearest to the median (±1 standard deviation). This allows for: determining the most likely GR estimates, characterization of uncertainty, retaining the temporal variability of individual GCMs, while reducing time needed to perform hydrological simulations. Future GR changes from the three selected GCM runs were averaged by decade and used to force transient groundwater model runs within a 40,000 km2 part of the NSH. Dynamics of lake and wetland spatial distribution and total areal coverage and numbers, were simulated with the GW model from 2010 to 2099. Addition model runs, with fixed end-of-century GR rates, elucidate response time required for the GW system to reach equilibrium under the changed

  11. BECCS capability of dedicated bioenergy crops under a future land-use scenario targeting net negative carbon emissions

    NASA Astrophysics Data System (ADS)

    Kato, E.; Yamagata, Y.

    2014-12-01

    Bioenergy with Carbon Capture and Storage (BECCS) is a key component of mitigation strategies in future socio-economic scenarios that aim to keep mean global temperature rise below 2°C above pre-industrial, which would require net negative carbon emissions in the end of the 21st century. Because of the additional need for land, developing sustainable low-carbon scenarios requires careful consideration of the land-use implications of deploying large-scale BECCS. We evaluated the feasibility of the large-scale BECCS in RCP2.6, which is a scenario with net negative emissions aiming to keep the 2°C temperature target, with a top-down analysis of required yields and a bottom-up evaluation of BECCS potential using a process-based global crop model. Land-use change carbon emissions related to the land expansion were examined using a global terrestrial biogeochemical cycle model. Our analysis reveals that first-generation bioenergy crops would not meet the required BECCS of the RCP2.6 scenario even with a high fertilizer and irrigation application. Using second-generation bioenergy crops can marginally fulfill the required BECCS only if a technology of full post-process combustion CO2 capture is deployed with a high fertilizer application in the crop production. If such an assumed technological improvement does not occur in the future, more than doubling the area for bioenergy production for BECCS around 2050 assumed in RCP2.6 would be required, however, such scenarios implicitly induce large-scale land-use changes that would cancel half of the assumed CO2 sequestration by BECCS. Otherwise a conflict of land-use with food production is inevitable.

  12. BECCS capability of dedicated bioenergy crops under a future land-use scenario targeting net negative carbon emissions

    NASA Astrophysics Data System (ADS)

    Kato, Etsushi; Yamagata, Yoshiki

    2014-09-01

    Bioenergy with Carbon Capture and Storage (BECCS) is a key component of mitigation strategies in future socioeconomic scenarios that aim to keep mean global temperature rise below 2°C above preindustrial, which would require net negative carbon emissions in the end of the 21st century. Because of the additional need for land, developing sustainable low-carbon scenarios requires careful consideration of the land-use implications of deploying large scale BECCS. We evaluated the feasibility of the large-scale BECCS in RCP2.6, which is a scenario with net negative emissions aiming to keep the 2°C temperature target, with a top-down analysis of required yields and a bottom-up evaluation of BECCS potential using a process-based global crop model. Land-use change carbon emissions related to the land expansion were examined using a global terrestrial biogeochemical cycle model. Our analysis reveals that first-generation bioenergy crops would not meet the required BECCS of the RCP2.6 scenario even with a high-fertilizer and irrigation application. Using second-generation bioenergy crops can marginally fulfill the required BECCS only if a technology of full postprocess combustion CO2 capture is deployed with a high-fertilizer application in the crop production. If such an assumed technological improvement does not occur in the future, more than doubling the area for bioenergy production for BECCS around 2050 assumed in RCP2.6 would be required; however, such scenarios implicitly induce large-scale land-use changes that would cancel half of the assumed CO2 sequestration by BECCS. Otherwise, a conflict of land use with food production is inevitable.

  13. Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

    SciTech Connect

    Grenzeback, L. R.; Brown, A.; Fischer, M. J.; Hutson, N.; Lamm, C. R.; Pei, Y. L.; Vimmerstedt, L.; Vyas, A. D.; Winebrake, J. J.

    2013-03-01

    Freight transportation demand is projected to grow to 27.5 billion tons in 2040, and to nearly 30.2 billion tons in 2050. This report describes the current and future demand for freight transportation in terms of tons and ton-miles of commodities moved by truck, rail, water, pipeline, and air freight carriers. It outlines the economic, logistics, transportation, and policy and regulatory factors that shape freight demand, the trends and 2050 outlook for these factors, and their anticipated effect on freight demand. After describing federal policy actions that could influence future freight demand, the report then summarizes the capabilities of available analytical models for forecasting freight demand. This is one in a series of reports produced as a result of the Transportation Energy Futures project, a Department of Energy-sponsored multi-agency effort to pinpoint underexplored strategies for reducing GHGs and petroleum dependence related to transportation.

  14. Scenarios for future biodiversity loss due to multiple drivers reveal conflict between mitigating climate change and preserving biodiversity

    NASA Astrophysics Data System (ADS)

    Powell, Thomas W. R.; Lenton, Timothy M.

    2013-06-01

    We assess the potential for future biodiversity loss due to three interacting factors: energy withdrawal from ecosystems due to biomass harvest, habitat loss due to land-use change, and climate change. We develop four scenarios to 2050 with different combinations of high or low agricultural efficiency and high or low meat diets, and use species-energy and species-area relationships to estimate their effects on biodiversity. In our scenarios, natural ecosystems are protected except when additional land is necessary to fulfil the increasing dietary demands of the global population. Biomass energy with carbon capture and storage (BECCS) is used as a means of carbon dioxide removal (CDR) from the atmosphere (and offsetting fossil fuel emissions). BECCS is based on waste biomass, with the addition of bio-energy crops only when already managed land is no longer needed for food production. Forecast biodiversity loss from natural biomes increases by more than a factor of five in going from high to low agricultural efficiency scenarios, due to destruction of productive habitats by the expansion of pasture. Biodiversity loss from energy withdrawal on managed land varies by a factor of two across the scenarios. Biodiversity loss due to climate change varies only modestly across the scenarios. Climate change is lowest in the ‘low meat high efficiency’ scenario, in which by 2050 around 660 million hectares of pasture are converted to biomass plantation that is used for BECCS. However, the resulting withdrawal of energy from managed ecosystems has a large negative impact on biodiversity. Although the effects of energy withdrawal and climate change on biodiversity cannot be directly compared, this suggests that using bio-energy to tackle climate change in order to limit biodiversity loss could instead have the opposite effect.

  15. Groundwater Trends and Availability Under Current and Future Groundwater Withdrawals and Climate Scenarios in Semi-arid India

    NASA Astrophysics Data System (ADS)

    Shukla, S.; Sishodia, R. P.; Graham, W. D.; Jones, J. W.; Wani, S.; Heaney, J.

    2015-12-01

    Irrigation withdrawals have caused groundwater depletion, decreased surface flows and water quality problems in many parts of the world including India. Anticipated increase in groundwater demand and climate change is likely to exacerbate the problem. This study investigated long term (1990-2012) groundwater level trends in hard rock aquifers of semi-arid south India and used an integrated hydrologic model MIKE SHE/MIKE 11 to analyze the effects of changes in groundwater withdrawals and climate on groundwater and surface water flow and levels. Contrary to the common perception of widespread groundwater declines, statistical trend test results showed significant declines in only 22-36% of the wells in a three district region (3.15 million ha). Free electricity policy for farmers, implemented in 2004, and increased irrigated area were the two main causal factors. Groundwater levels in up to 76% of these wells showed significant decline after the subsidy (2005-2012) indicating the nexus between energy and groundwater. An integrated hydrologic model, developed using long-term monitoring data for a watershed (320 ha) in the region, performed well in simulating surface and groundwater levels. Compared to the current withdrawal scenario, prolonged hydrologic drought and decreased surface flows were predicted under future withdrawal scenarios. Future (2040-2069) climate scenarios from five General Circulation Models (GCMs), showed increased rainfall and flooding in the watershed. Although, projected increase in rainfall under the climate change scenarios is likely to provide opportunities for capture and reuse of surface flows, earlier well drying, and increased frequency and duration of hydrologic drought is likely to affect livelihoods of millions of small-scale farmers in this hard rock aquifer region. Several management options including changes in power subsidy and implementation of efficient irrigation systems, effective institutional mechanism to regulate

  16. Impact of sewage discharges on coastal water quality of Mumbai, India: present and future scenarios.

    PubMed

    Vijay, Ritesh; Mardikar, Trupti; Kumar, Rakesh

    2016-07-01

    The simulation study assesses the impact of sewage discharges on the present and predicted water quality of the Mumbai coast using MIKE 21. Water quality parameters in terms of dissolved oxygen (DO), biochemical oxygen demand (BOD) and faecal coliform (FC) are checked against specified standards. The simulation is validated for the present coastal hydrodynamics and observed water quality parameters. The validated model is further used for predicting scenarios in terms of upgradation in a pumping station and improvement in wastewater collection, treatment level and disposal systems. The water quality of the existing coastal environment does not conform to the stipulated standards but improves considerably in the prediction scenarios. However, despite a marked improvement in FC, it is not as per desired standards as no treatment for bacteria removal is considered. The simulation study emphasizes the need for exploring options like the reuse or recycle of treated effluent, as an effort for water conservation. PMID:27317055

  17. Future atmospheric abundances and climate forcings from scenarios of global and regional hydrofluorocarbon (HFC) emissions

    NASA Astrophysics Data System (ADS)

    Velders, Guus J. M.; Fahey, David W.; Daniel, John S.; Andersen, Stephen O.; McFarland, Mack

    2015-12-01

    Hydrofluorocarbons (HFCs) are manufactured for use as substitutes for ozone-depleting substances that are being phased out globally under Montreal Protocol regulations. While HFCs do not deplete ozone, many are potent greenhouse gases that contribute to climate change. Here, new global scenarios show that baseline emissions of HFCs could reach 4.0-5.3 GtCO2-eq yr-1 in 2050. The new baseline (or business-as-usual) scenarios are formulated for 10 HFC compounds, 11 geographic regions, and 13 use categories. The scenarios rely on detailed data reported by countries to the United Nations; projections of gross domestic product and population; and recent observations of HFC atmospheric abundances. In the baseline scenarios, by 2050 China (31%), India and the rest of Asia (23%), the Middle East and northern Africa (11%), and the USA (10%) are the principal source regions for global HFC emissions; and refrigeration (40-58%) and stationary air conditioning (21-40%) are the major use sectors. The corresponding radiative forcing could reach 0.22-0.25 W m-2 in 2050, which would be 12-24% of the increase from business-as-usual CO2 emissions from 2015 to 2050. National regulations to limit HFC use have already been adopted in the European Union, Japan and USA, and proposals have been submitted to amend the Montreal Protocol to substantially reduce growth in HFC use. Calculated baseline emissions are reduced by 90% in 2050 by implementing the North America Montreal Protocol amendment proposal. Global adoption of technologies required to meet national regulations would be sufficient to reduce 2050 baseline HFC consumption by more than 50% of that achieved with the North America proposal for most developed and developing countries.

  18. Future atmospheric abundances and climate forcings from scenarios of global and regional hydrofluorocarbon (HFC) emissions

    NASA Astrophysics Data System (ADS)

    Velders, Guus J. M.; Fahey, David W.; Daniel, John S.; Andersen, Stephen O.; McFarland, Mack

    2015-12-01

    Hydrofluorocarbons (HFCs) are manufactured for use as substitutes for ozone-depleting substances that are being phased out globally under Montreal Protocol regulations. While HFCs do not deplete ozone, many are potent greenhouse gases that contribute to climate change. Here, new global scenarios show that baseline emissions of HFCs could reach 4.0-5.3 GtCO2-eq yr-1 in 2050. The new baseline (or business-as-usual) scenarios are formulated for 10 HFC compounds, 11 geographic regions, and 13 use categories. The scenarios rely on detailed data reported by countries to the United Nations; projections of gross domestic product and population; and recent observations of HFC atmospheric abundances. In the baseline scenarios, by 2050 China (31%), India and the rest of Asia (23%), the Middle East and northern Africa (11%), and the USA (10%) are the principal source regions for global HFC emissions; and refrigeration (40-58%) and stationary air conditioning (21-40%) are the major use sectors. The corresponding radiative forcing could reach 0.22-0.25 W m-2 in 2050, which would be 12-24% of the increase from business-as-usual CO2 emissions from 2015 to 2050. National regulations to limit HFC use have already been adopted in the European Union, Japan and USA, and proposals have been submitted to amend the Montreal Protocol to substantially reduce growth in HFC use. Calculated baseline emissions are reduced by 90% in 2050 by implementing the North America Montreal Protocol amendment proposal. Global adoption of technologies required to meet national regulations would be sufficient to reduce 2050 baseline HFC consumption by more than 50% of that achieved with the North America proposal for most developed and developing countries.

  19. Use of Future Scenarios as a Pedagogical Approach for Science Teacher Education

    ERIC Educational Resources Information Center

    Paige, Kathryn; Lloyd, David

    2016-01-01

    Futures studies is usually a transdisciplinary study and as such embraces the physical world of the sciences and system sciences and the subjective world of individuals and cultures, as well as the time dimension--past, present and futures. Science education, where student interests, opportunities and challenges often manifest themselves, can…

  20. A Coupled GCM-Cloud Resolving Modeling System to Study Precipitation Processes

    NASA Technical Reports Server (NTRS)

    Tao, Wei-Kuo; Chern, Jiundar; Atlas, Robert; Peters-Lidard, Christa; Hou, Arthur; Lin, Xin

    2006-01-01

    Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud resolving models (CRMs) agree with observations better than traditional single column models in simulating various types of clouds and cloud systems from different geographic locations. Current and future NASA satellite programs can provide cloud, precipitation, aerosol and other data at very fine spatial and temporal scales. It requires a coupled global circulation model (GCM) and cloud-scale model (termed a super-parameterization or multi-scale modeling framework, MMF) to use these satellite data to improve the understanding of the physical processes that are responsible for the variation in global and regional climate and hydrological systems. The use of a GCM will enable global coverage and the use of a CRM will allow for better and more sophisticated physical parameterization. NASA Satellite and field campaign cloud related data sets can provide initial conditions as well as validation for both the MMF and CRMs. Also we have implemented a Land Information System (LIS that includes the CLM and NOAH land surface models into the MMF. The Goddard MMF is based on the 2D Goddard Cumulus Ensemble (GCE) model and the Goddard finite volume general circulation model (fvGCM) This modeling system has been applied and tested its performance for two different climate scenarios, El Nino (1998) and La Nina (1999). The coupled new modeling system produced more realistic propagation and intensity of tropical rainfall systems and intraseasonal oscillations, and diurnal variation of precipitation that are very difficult to forecast using even the state-of-the-art GCMs. In this talk I will present: (1) a brief review on GCE model and its applications on precipitation processes (both Microphysical and land processes) and (2) The Goddard MMF and the Major difference between two existing MMFs (CSU MMF and Goddard MMF) and preliminary results (the comparison with traditional GCMs).

  1. The importance of uncertainties in scenario analyses--A study on future ecosystem service delivery in Flanders.

    PubMed

    Landuyt, Dries; Broekx, Steven; Engelen, Guy; Uljee, Inge; Van der Meulen, Maarten; Goethals, Peter L M

    2016-05-15

    Land use is rapidly changing and is significantly affecting ecosystem service delivery all around the world. The socio-economic context and political choices largely determine land use change. This land use change, driven by socio-economic pressures, will impact diverse elements of the environment including, for example, air quality, soil properties, water infiltration and food and wood production, impacts that can be linked to the provisioning of ecosystem services. To gain more insight into the effects of alternative socio-economic developments on ecosystem service delivery, land use change models are being coupled to ecosystem service delivery models to perform scenario analyses. Although the uncertainty of the results of these kind of scenario analyses are generally far from negligible, studies rarely take them into account. In this study, a cellular automaton land use change model is coupled to Bayesian belief network ecosystem service delivery models to facilitate the study of error propagation in scenario analysis. The proposed approach is applied to model the impact of alternative socio-economic developments on ecosystem service delivery in Flanders, Belgium and to assess the impact of land use allocation uncertainty on the uncertainty associated to future ecosystem service delivery. Results suggest that taking into account uncertainties may have an effect on policy recommendations that come out of the scenario analysis. However, in this study, uncertainties in the applied ecosystem service models were dominant, reducing the importance of accounting for land use allocation uncertainty. PMID:26930321

  2. Future climate change under RCP emission scenarios with GISS ModelE2

    DOE PAGESBeta

    Nazarenko, L.; Schmidt, G. A.; Miller, R. L.; Tausnev, N.; Kelley, M.; Ruedy, R.; Russell, G. L.; Aleinov, I.; Bauer, M.; Bauer, S.; et al

    2015-02-24

    We examine the anthropogenically forced climate response for the 21st century representative concentration pathway (RCP) emission scenarios and their extensions for the period 2101–2500. The experiments were performed with ModelE2, a new version of the NASA Goddard Institute for Space Sciences (GISS) coupled general circulation model that includes three different versions for the atmospheric composition components: a noninteractive version (NINT) with prescribed composition and a tuned aerosol indirect effect (AIE), the TCAD version with fully interactive aerosols, whole-atmosphere chemistry, and the tuned AIE, and the TCADI version which further includes a parameterized first indirect aerosol effect on clouds. Each atmosphericmore » version is coupled to two different ocean general circulation models: the Russell ocean model (GISS-E2-R) and HYCOM (GISS-E2-H). By 2100, global mean warming in the RCP scenarios ranges from 1.0 to 4.5° C relative to 1850–1860 mean temperature in the historical simulations. In the RCP2.6 scenario, the surface warming in all simulations stays below a 2 °C threshold at the end of the 21st century. For RCP8.5, the range is 3.5–4.5° C at 2100. Decadally averaged sea ice area changes are highly correlated to global mean surface air temperature anomalies and show steep declines in both hemispheres, with a larger sensitivity during winter months. By the year 2500, there are complete recoveries of the globally averaged surface air temperature for all versions of the GISS climate model in the low-forcing scenario RCP2.6. TCADI simulations show enhanced warming due to greater sensitivity to CO₂, aerosol effects, and greater methane feedbacks, and recovery is much slower in RCP2.6 than with the NINT and TCAD versions. All coupled models have decreases in the Atlantic overturning stream function by 2100. In RCP2.6, there is a complete recovery of the Atlantic overturning stream function by the year 2500 while with scenario RCP8.5, the

  3. Future climate change under RCP emission scenarios with GISS ModelE2

    SciTech Connect

    Nazarenko, L.; Schmidt, G. A.; Miller, R. L.; Tausnev, N.; Kelley, M.; Ruedy, R.; Russell, G. L.; Aleinov, I.; Bauer, M.; Bauer, S.; Bleck, R.; Canuto, V.; Cheng, Y.; Clune, T. L.; Del Genio, A. D.; Faluvegi, G.; Hansen, J. E.; Healy, R. J.; Kiang, N. Y.; Koch, D.; Lacis, A. A.; LeGrande, A. N.; Lerner, J.; Lo, K. K.; Menon, S.; Oinas, V.; Perlwitz, J.; Puma, M. J.; Rind, D.; Romanou, A.; Sato, M.; Shindell, D. T.; Sun, S.; Tsigaridis, K.; Unger, N.; Voulgarakis, A.; Yao, M. -S.; Zhang, Jinlun

    2015-02-24

    We examine the anthropogenically forced climate response for the 21st century representative concentration pathway (RCP) emission scenarios and their extensions for the period 2101–2500. The experiments were performed with ModelE2, a new version of the NASA Goddard Institute for Space Sciences (GISS) coupled general circulation model that includes three different versions for the atmospheric composition components: a noninteractive version (NINT) with prescribed composition and a tuned aerosol indirect effect (AIE), the TCAD version with fully interactive aerosols, whole-atmosphere chemistry, and the tuned AIE, and the TCADI version which further includes a parameterized first indirect aerosol effect on clouds. Each atmospheric version is coupled to two different ocean general circulation models: the Russell ocean model (GISS-E2-R) and HYCOM (GISS-E2-H). By 2100, global mean warming in the RCP scenarios ranges from 1.0 to 4.5° C relative to 1850–1860 mean temperature in the historical simulations. In the RCP2.6 scenario, the surface warming in all simulations stays below a 2 °C threshold at the end of the 21st century. For RCP8.5, the range is 3.5–4.5° C at 2100. Decadally averaged sea ice area changes are highly correlated to global mean surface air temperature anomalies and show steep declines in both hemispheres, with a larger sensitivity during winter months. By the year 2500, there are complete recoveries of the globally averaged surface air temperature for all versions of the GISS climate model in the low-forcing scenario RCP2.6. TCADI simulations show enhanced warming due to greater sensitivity to CO₂, aerosol effects, and greater methane feedbacks, and recovery is much slower in RCP2.6 than with the NINT and TCAD versions. All coupled models have decreases in the Atlantic overturning stream function by 2100. In RCP2.6, there is a complete recovery of the Atlantic overturning stream function by the year 2500 while with scenario RCP8.5, the E2-R

  4. Assessment of the Future Health Burden Attributable to Undernutrition under the Latest Scenario Framework for Climate Change Research

    NASA Astrophysics Data System (ADS)

    Ishida, Hiroyuki; Kobayashi, Shota; Yoshikawa, Sayaka; Kanae, Shinjiro; Hasegawa, Tomoko; Fujimori, Shinichiro; Shin, Yonghee; Takahashi, Kiyoshi; Masui, Toshihiko; Tanaka, Akemi; Honda, Yasushi

    2014-05-01

    There are growing concerns that future food security will be negatively affected by various factors, such as changes in socioeconomic and climate conditions. The health burden attributable to childhood undernutrition is among the most severe problems related to food crisis in the world. This study assessed the health burden attributable to childhood underweight through 2050 focusing on disability-adjusted life years (DALYs), by considering the latest scenarios for climate change studies (Representative Concentration Pathways (RCPs) and Shared Socioeconomic Pathways (SSPs)) and conducting sensitivity analysis. We used three SSPs (SSP1, SSP2 and SSP3) as future population and gross domestic products (GDP), three RCPs (RCP2.6, RCP4.5 and RCP8.5) for a greenhouse gas emissions constraint, and 12 Global Circulation Models (12 GCMs) to estimate climate conditions. A regression model for estimating DALYs attributable to childhood underweight (DAtU) was developed using the relationship between DAtU and childhood stunting. A logarithmic relationship was proposed for the regression model. We combined a global computable general equilibrium model, a crop model (M-GAEZ), and two regression models to assess the future health burden. We found that i) world total DAtU decreases from 2005 by 23 ~ 60% in 2030 depending on the socioeconomic scenarios. DAtU decreases further by 2050 for SSP1 and SSP2 scenario, whereas it slightly increases for SSP3. Per capita DAtU also decreases in all regions under either scenario in 2050, but the decreases vary significantly by regions and scenarios. ii) the impact of climate change is relatively small in the framework of this study but, on the other hand, socioeconomic conditions have a great impact on the future health burden. The impact of changes in socioeconomic conditions on the health burden is greater in the regions where current health burden is high. iii) parameter uncertainty of the regression models is the second largest factor on

  5. From GCM Output to Local Hydrologic and Ecological Impacts: Integrating Climate Change Projections into Conservation Lands

    NASA Astrophysics Data System (ADS)

    Weiss, S. B.; Micheli, L.; Flint, L. E.; Flint, A. L.; Thorne, J. H.

    2014-12-01

    Assessment of climate change resilience, vulnerability, and adaptation options require downscaling of GCM outputs to local scales, and conversion of temperature and precipitation forcings into hydrologic and ecological responses. Recent work in the San Francisco Bay Area, and California demonstrate a practical approach to this process. First, climate futures (GCM x Emissions Scenario) are screened using cluster analysis for seasonal precipitation and temperature, to select a tractable subset of projections that still represent the range of climate projections. Second, monthly climate projections are downscaled to 270m and the Basin Characterization Model (BCM) applied, to generate fine-scale recharge, runoff, actual evapotranspiration (AET), and climatic water deficit (CWD) accounting for soils, bedrock geology, topography, and local climate. Third, annual time-series are used to derive 30-year climatologies and recurrence intervals of extreme events (including multi-year droughts) at the scale of small watersheds and conservation parcels/networks. We take a "scenario-neutral" approach where thresholds are defined for system "failure," such as water supply shortfalls or drought mortality/vegetation transitions, and the time-window for hitting those thresholds is evaluated across all selected climate projections. San Francisco Bay Area examples include drought thresholds (CWD) for specific vegetation-types that identify leading/trailing edges and local refugia, evaluation of hydrologic resources (recharge and runoff) provided by conservation lands, and productivity of rangelands (AET). BCM outputs for multiple futures are becoming available to resource managers through on-line data extraction tools. This approach has wide applicability to numerous resource management issues.

  6. Consequences of a future climatic scenario for the anchovy fishery in the Alboran Sea (SW Mediterranean): A modeling study

    NASA Astrophysics Data System (ADS)

    Macías, D.; Castilla-Espino, D.; García-del-Hoyo, J. J.; Navarro, G.; Catalán, I. A.; Renault, L.; Ruiz, J.

    2014-07-01

    The Alboran basin is one of the most productive areas of the Mediterranean Sea and supports an anchovy fishery with a history of remarkably variable landings. Past and present anchovy recruitment levels are highly sensitive to changes in the strength and direction of the incoming jet of Atlantic waters, which modulate the hydrographic features of the basin. Here, we analyze plausible consequences for the anchovy fisheries in the region based on a projected physical scenario for the end of the century obtained using a coupled hydrological-biogeochemical model. Our model predicts a substantial increase in horizontal water velocity and a negligible change in the associated biological production, which likely indicates reductions in anchovy stock, catches and revenues. Alternative policies are analyzed here for the economic scenario that is expected to emerge under future conditions of oceanographic features, pelagic ecosystem dynamics and anchovy landings in the Alboran Sea.

  7. California's electricity system of the future scenario analysis in support of public-interest transmission system R&D planning

    SciTech Connect

    Eto, Joseph; Stovall, John P.

    2003-04-01

    The California Energy Commission directed the Consortium for Electric Reliability Technology Solutions to analyze possible future scenarios for the California electricity system and assess transmission research and development (R&D) needs, with special emphasis on prioritizing public-interest R&D needs, using criteria developed by the Energy Commission. The scenarios analyzed in this report are not predictions, nor do they express policy preferences of the project participants or the Energy Commission. The public-interest R&D needs that are identified as a result of the analysis are one input that will be considered by the Energy Commission's Public Interest Energy Research staff in preparing a transmission R&D plan.

  8. The role of future scenarios to understand deep uncertainty for air quality management.

    EPA Science Inventory

    The environment and its interaction with human systems (economic, social and political) is complex and dynamic. Key drivers may disrupt systemdynamics in unforeseen ways, making it difficult to predict future conditions precisely. This kind of deep uncertainty presents a challeng...

  9. Role of future scenarios in understanding deep uncertainty in long-term air quality management

    EPA Science Inventory

    The environment and its interactions with human systems, whether economic, social or political, are complex. Relevant drivers may disrupt system dynamics in unforeseen ways, making it difficult to predict future conditions. This kind of deep uncertainty presents a challenge to ...

  10. Future scenarios of urbanization and its effects on water quantity and quality in three New England watersheds

    NASA Astrophysics Data System (ADS)

    Hutyra, L.; Yang, Y.; Kim, J.; Cheng, C.; O'Brien, P.; Rouhani, S.; Douglas, E. M.; Nicolson, C.; Ryan, R.; Schaaf, C.; Warren, P.; Wollheim, W. M.

    2013-12-01

    New England watersheds have been impacted by human development and environmental stressors that are similar to those projected to impact large portions of the United States and the world. These impacts are likely to continue as some parts of the region are projected to lose over 60% of private forestland to development by 2030. Such dramatic changes have important consequences for water quality and quantity. Because of the complex and varied interactions between human and natural systems, simply understanding the processes affecting current and historical conditions in urbanizing watersheds is inadequate to model the future. Understanding future hydrologic conditions is made more difficult because of the uncertainties inherent in projecting future climate conditions. One approach to handling this complexity is to use scenarios to explore a range of potential futures following contrasting trajectories of change. Here we describe how four scenarios of land use change were developed using a stakeholder driven process. We then began using the scenarios in hydrological models to estimate future changes in water quality and quantity. The study area includes three watersheds (the Charles, Neponset and Ipswich) that have undergone varying degrees of urbanization in the greater Boston area of Massachusetts in the northeastern United States. The Charles and Neponset River watersheds are densely populated and include the city of Boston itself. Municipal water supplies in these two watersheds are mostly from the Massachusetts Water Resources Authority (MWRA) sources in western Massachusetts. The Ipswich River watershed is highly suburban, and communities are largely dependent on local water supplies. If the historical urbanization trends continue, the impervious area in the Charles River watershed is projected to increase by 13%, 16% in Neponset River watershed, and 24% in Ipswich River watershed by 2030. For the Charles River watershed, analyses identified hot spots for

  11. Analysis of Regional Climate Changes adjusted Future Urban Growth Scenarios and possibility of the future air quality prediction in Seoul Metropolitan Area (SMA), Korea

    NASA Astrophysics Data System (ADS)

    Kim, H.; Kim, Y.; Jeong, J.

    2012-12-01

    Land-use changes give effects to physical properties such as albedo, moisture availability and roughness length in the atmosphere, but future urban growth has not been considered widely to predict the future regional climate change because it is hard to predict the future land-use changes. In this study, we used the urban growth model called SLEUTH (Slope, Land-use, Excluded, Urban, Transportation, Hill-shade) based on Cellular Automata (CA) technique to predict the future land-use (especially, urban growth) changes. Seoul Metropolitan Area (SMA), the research area in this study, is the most explosively developed region in the Korean peninsula due to the continuous industrialization since 1970s. SLEUTH was calibrated to know the pattern and process of the urban growth and expansion in SMA with historical data for 35 years (1975-2000) provided from WAter Management Information System (WAMIS) in Korea and then future urban growth was projected out to 2050 assuming three different scenarios: (1) historical trends of urban growth (SC1), (2) future urban policy and plan (SC2), (3) ecological protection and growth (SC3). We used the FNL data of NCEP/NCAR for one month, Oct. in 2005 to evaluate the performance of the WRF on the long-term climate simulation and compared results of WRF with the ASOS/AWS (Automated Surface Observing Systems and Automated Weather System) observation data of the Korea Meteorology Administration. Based on the accuracy of the model, we performed various numerical experiments by the urban growth scenarios using the 6 hourly data of ECHAM5/OM-1 A1B scenarios generated by Max-Plank Institute for Meteorology in Hamburg, Germany on Oct. for 5 years (2046-2050), respectively. The difference of urban ratio under various urban growth scenarios in SMA consequently caused the spatial distributions of temperature to change, the average temperature to increase in the urban area. PBL height with a maximum of about 200m also appeared locally in newly

  12. Current and Future Niche of North and Central American Sand Flies (Diptera: Psychodidae) in Climate Change Scenarios

    PubMed Central

    Moo-Llanes, David; Ibarra-Cerdeña, Carlos N.; Rebollar-Téllez, Eduardo A.; Ibáñez-Bernal, Sergio; González, Camila; Ramsey, Janine M.

    2013-01-01

    Ecological niche models are useful tools to infer potential spatial and temporal distributions in vector species and to measure epidemiological risk for infectious diseases such as the Leishmaniases. The ecological niche of 28 North and Central American sand fly species, including those with epidemiological relevance, can be used to analyze the vector's ecology and its association with transmission risk, and plan integrated regional vector surveillance and control programs. In this study, we model the environmental requirements of the principal North and Central American phlebotomine species and analyze three niche characteristics over future climate change scenarios: i) potential change in niche breadth, ii) direction and magnitude of niche centroid shifts, iii) shifts in elevation range. Niche identity between confirmed or incriminated Leishmania vector sand flies in Mexico, and human cases were analyzed. Niche models were constructed using sand fly occurrence datapoints from Canada, USA, Mexico, Guatemala and Belize. Nine non-correlated bioclimatic and four topographic data layers were used as niche components using GARP in OpenModeller. Both B2 and A2 climate change scenarios were used with two general circulation models for each scenario (CSIRO and HadCM3), for 2020, 2050 and 2080. There was an increase in niche breadth to 2080 in both scenarios for all species with the exception of Lutzomyia vexator. The principal direction of niche centroid displacement was to the northwest (64%), while the elevation range decreased greatest for tropical, and least for broad-range species. Lutzomyia cruciata is the only epidemiologically important species with high niche identity with that of Leishmania spp. in Mexico. Continued landscape modification in future climate change will provide an increased opportunity for the geographic expansion of NCA sand flys' ENM and human exposure to vectors of Leishmaniases. PMID:24069478

  13. Assessing the environmental costs and benefits of plantations under future carbon pricing scenarios

    NASA Astrophysics Data System (ADS)

    Jackson, R. B.; Barrett, D. J.; Farley, K.; Guenther, A.; Jobbágy, E. G.; Murray, B. C.; McCarl, B. A.; Schlesinger, W. H.

    2004-12-01

    Carbon sequestration programs are gaining attention globally as a means to offset increasing fossil fuel emissions and atmospheric carbon dioxide concentrations. We are examining scenarios of C sequestration in four regions of the world: the U.S., South America, China, and Australia. The analysis uses economic models to predict where the plantations will be grown and then categorizes the other biogeochemical changes that will likely occur. The goals of the project include: 1) Evaluating the assumptions behind C sequestration programs for plantations, including the importance of rotation rates, a full accounting of carbon costs (e.g., planting and site preparation), and how the C would be stored and safeguarded. 2) Examining the scale of the process needed to make a substantial contribution to offset fossil fuel emissions (see below). The scenario we have chosen to evaluate is one that addresses the consequences of storing 1 PgC yr-1 for 50 years. 3) Determining and summarizing the evidence for other biogeochemical changes that will likely occur. Some of the factors to be evaluated include soil acidification, changes in water fluxes and water-table dynamics, nutrient losses, changes in soil fauna and biodiversity, volatile organic carbon emissions, and erosion. 4) A final goal of the project is to make concrete recommendations for where plantations may be the most beneficial in terms of C storage and other environmental benefits, such as the amelioration of salinity and groundwater upwelling in Australia.

  14. The Reality and Future Scenarios of Commercial Building Energy Consumption in China

    SciTech Connect

    Zhou, Nan; Lin, Jiang

    2007-08-01

    While China's 11th Five Year Plan called for a reduction of energy intensity by 2010, whether and how the energy consumption trend can be changed in a short time has been hotly debated. This research intends to evaluate the impact of a variety of scenarios of GDP growth, energy elasticity and energy efficiency improvement on energy consumption in commercial buildings in China using a detailed China End-use Energy Model. China's official energy statistics have limited information on energy demand by end use. This is a particularly pertinent issue for building energy consumption. The authors have applied reasoned judgments, based on experience of working on Chinese efficiency standards and energy related programs, to present a realistic interpretation of the current energy data. The bottom-up approach allows detailed consideration of end use intensity, equipment efficiency, etc., thus facilitating assessment of potential impacts of specific policy and technology changes on building energy use. The results suggest that: (1) commercial energy consumption in China's current statistics is underestimated by about 44%, and the fuel mix is misleading; (2) energy efficiency improvements will not be sufficient to offset the strong increase in end-use penetration and intensity in commercial buildings; (3) energy intensity (particularly electricity) in commercial buildings will increase; (4) different GDP growth and elasticity scenarios could lead to a wide range of floor area growth trajectories , and therefore, significantly impact energy consumption in commercial buildings.

  15. Future land-use scenarios and the loss of wildlife habitats in the southeastern United States.

    PubMed

    Martinuzzi, Sebastián; Withey, John C; Pidgeon, Anna M; Plantinga, Andrew J; McKerrow, Alexa J; Williams, Steven G; Helmers, David P; Radeloff, Volker C

    2015-01-01

    Land-use change is a major cause of wildlife habitat loss. Understanding how changes in land-use policies and economic factors can impact future trends in land use and wildlife habitat loss is therefore critical for conservation efforts. Our goal here was to evaluate the consequences of future land-use changes under different conservation policies and crop market conditions on habitat loss for wildlife species in the southeastern United States. We predicted the rates of habitat loss for 336 terrestrial vertebrate species by 2051. We focused on habitat loss due to the expansion of urban, crop, and pasture. Future land-use changes following business-as-usual conditions resulted in relatively low rates of wildlife habitat loss across the entire Southeast, but some ecoregions and species groups experienced much higher habitat loss than others. Increased crop commodity prices exacerbated wildlife habitat loss in most ecoregions, while the implementation of conservation policies (reduced urban sprawl, and payments for land conservation) reduced the projected habitat loss in some regions, to a certain degree. Overall, urban and crop expansion were the main drivers of habitat loss. Reptiles and wildlife species associated with open vegetation (grasslands, open woodlands) were the species groups most vulnerable to future land-use change. Effective conservation of wildlife habitat in the Southeast should give special consideration to future land-use changes, regional variations, and the forces that could shape land-use decisions. PMID:26255365

  16. Utilization of Used Nuclear Fuel in a Potential Future US Fuel Cycle Scenario - 13499

    SciTech Connect

    Worrall, Andrew

    2013-07-01

    To date, the US reactor fleet has generated approximately 68,000 MTHM of used nuclear fuel (UNF) and even with no new nuclear build in the US, this stockpile will continue to grow at approximately 2,000 MTHM per year for several more decades. In the absence of reprocessing and recycle, this UNF is a liability and needs to be dealt with accordingly. However, with the development of future fuel cycle and reactor technologies in the decades ahead, there is potential for UNF to be used effectively and efficiently within a future US nuclear reactor fleet. Based on the detailed expected operating lifetimes, the future UNF discharges from the existing reactor fleet have been calculated on a yearly basis. Assuming a given electricity demand growth in the US and a corresponding growth demand for nuclear energy via new nuclear build, the future discharges of UNF have also been calculated on a yearly basis. Using realistic assumptions about reprocessing technologies and timescales and which future fuels are likely to be reprocessed, the amount of plutonium that could be separated and stored for future reactor technologies has been determined. With fast reactors (FRs) unlikely to be commercially available until 2050, any new nuclear build prior to then is assumed to be a light water reactor (LWR). If the decision is made for the US to proceed with reprocessing by 2030, the analysis shows that the UNF from future fuels discharged from 2025 onwards from the new and existing fleet of LWRs is sufficient to fuel a realistic future demand from FRs. The UNF arising from the existing LWR fleet prior to 2025 can be disposed of directly with no adverse effect on the potential to deploy a FR fleet from 2050 onwards. Furthermore, only a proportion of the UNF is required to be reprocessed from the existing fleet after 2025. All of the analyses and conclusions are based on realistic deployment timescales for reprocessing and reactor deployment. The impact of the delay in recycling the UNF

  17. OCEANOGRAPHY. Contrasting futures for ocean and society from different anthropogenic CO₂ emissions scenarios.

    PubMed

    Gattuso, J-P; Magnan, A; Billé, R; Cheung, W W L; Howes, E L; Joos, F; Allemand, D; Bopp, L; Cooley, S R; Eakin, C M; Hoegh-Guldberg, O; Kelly, R P; Pörtner, H-O; Rogers, A D; Baxter, J M; Laffoley, D; Osborn, D; Rankovic, A; Rochette, J; Sumaila, U R; Treyer, S; Turley, C

    2015-07-01

    The ocean moderates anthropogenic climate change at the cost of profound alterations of its physics, chemistry, ecology, and services. Here, we evaluate and compare the risks of impacts on marine and coastal ecosystems—and the goods and services they provide—for growing cumulative carbon emissions under two contrasting emissions scenarios. The current emissions trajectory would rapidly and significantly alter many ecosystems and the associated services on which humans heavily depend. A reduced emissions scenario—consistent with the Copenhagen Accord's goal of a global temperature increase of less than 2°C—is much more favorable to the ocean but still substantially alters important marine ecosystems and associated goods and services. The management options to address ocean impacts narrow as the ocean warms and acidifies. Consequently, any new climate regime that fails to minimize ocean impacts would be incomplete and inadequate. PMID:26138982

  18. Temperature in lowland Danish streams: contemporary patterns, empirical models and future scenarios

    NASA Astrophysics Data System (ADS)

    Lagergaard Pedersen, Niels; Sand-Jensen, Kaj

    2007-01-01

    Continuous temperature measurements at 11 stream sites in small lowland streams of North Zealand, Denmark over a year showed much higher summer temperatures and lower winter temperatures along the course of the stream with artificial lakes than in the stream without lakes. The influence of lakes was even more prominent in the comparisons of colder lake inlets and warmer outlets and led to the decline of cold-water and oxygen-demanding brown trout. Seasonal and daily temperature variations were, as anticipated, dampened by forest cover, groundwater input, input from sewage plants and high downstream discharges. Seasonal variations in daily water temperature could be predicted with high accuracy at all sites by a linear air-water regression model (r2: 0.903-0.947). The predictions improved in all instances (r2: 0.927-0.964) by a non-linear logistic regression according to which water temperatures do not fall below freezing and they increase less steeply than air temperatures at high temperatures because of enhanced heat loss from the stream by evaporation and back radiation. The predictions improved slightly (r2: 0.933-0.969) by a multiple regression model which, in addition to air temperature as the main predictor, included solar radiation at un-shaded sites, relative humidity, precipitation and discharge. Application of the non-linear logistic model for a warming scenario of 4-5 °C higher air temperatures in Denmark in 2070-2100 yielded predictions of temperatures rising 1.6-3.0 °C during winter and summer and 4.4-6.0 °C during spring in un-shaded streams with low groundwater input. Groundwater-fed springs are expected to follow the increase of mean air temperatures for the region. Great caution should be exercised in these temperature projections because global and regional climate scenarios remain open to discussion. Copyright

  19. PREDICTING REGIONAL ALLERGY HOTSPOTS IN FUTURE CLIMATE SCENARIOS – PUTTING THE WHERE & WHEN ON WHEEZING

    EPA Science Inventory

    This research addresses both the effects and mechanisms by which current and future climate conditions affect the risk factors related to allergic airway disease in humans. Our intensive sampling of pollen production, output, and potency in ecologically distinct ragweed popul...

  20. Productivity of North American grasslands is increased under future climate scenarios despite rising aridity

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Grassland productivity is regulated by both temperature and the amount and timing of precipitation. Future climate change is therefore expected to influence grassland phenology and growth, with consequences for ecosystems and economies. However, the potential response of grasslands to climate change...

  1. Scenarios for the Future of Air Quality: Planning and Analysis in an Uncertain World

    EPA Science Inventory

    On November 15 and 16 of 2010, EPA hosted a workshop: The Future of Air Quality: Planning and Analysis in An Uncertain World in Chapel Hill, North Carolina. This workshop was an “outside-of-the-box” thinking exercise, where a small group of EPA staff and managers brainstormed o...

  2. The role of future scenarios to understand deep uncertainty in air quality management

    EPA Science Inventory

    The environment and it’s interaction with human systems (economic, social and political) is complex and dynamic. Key drivers may disrupt system dynamics in unforeseen ways, making it difficult to predict future conditions precisely. This kind of deep uncertainty presents ...

  3. Building Your Own Scenario: Marketing and Distributive Education, Sex Equity, and Alternative Futures.

    ERIC Educational Resources Information Center

    Vetter, Louise; And Others

    This training manual, one in a seris of eight, has been developed to help state and local supervisors and teacher educators in marketing and distributive education to conduct a workshop on sex equity, as it relates to their future programs, for vocational education teachers and administrators in the marketing and distributive education service…

  4. SCENARIO ANALYSIS FOR THE SAN PEDRO RIVER, ANALYZING HYDROLOGICAL CONSEQUENCES FOR A FUTURE ENVIRONMENT

    EPA Science Inventory

    Studies of future management and policy options based on different assumptions provide a mechanism to examine possible outcomes and especially their likely benefits and consequences. The San Pedro River in Arizona and Sonora, Mexico is an area that has undergone rapid changes in ...

  5. A broad assessment of factors determining Culicoides imicola abundance: modelling the present and forecasting its future in climate change scenarios.

    PubMed

    Acevedo, Pelayo; Ruiz-Fons, Francisco; Estrada, Rosa; Márquez, Ana Luz; Miranda, Miguel Angel; Gortázar, Christian; Lucientes, Javier

    2010-01-01

    Bluetongue (BT) is still present in Europe and the introduction of new serotypes from endemic areas in the African continent is a possible threat. Culicoides imicola remains one of the most relevant BT vectors in Spain and research on the environmental determinants driving its life cycle is key to preventing and controlling BT. Our aim was to improve our understanding of the biotic and abiotic determinants of C. imicola by modelling its present abundance, studying the spatial pattern of predicted abundance in relation to BT outbreaks, and investigating how the predicted current distribution and abundance patterns might change under future (2011-2040) scenarios of climate change according to the Intergovernmental Panel on Climate Change. C. imicola abundance data from the bluetongue national surveillance programme were modelled with spatial, topoclimatic, host and soil factors. The influence of these factors was further assessed by variation partitioning procedures. The predicted abundance of C. imicola was also projected to a future period. Variation partitioning demonstrated that the pure effect of host and topoclimate factors explained a high percentage (>80%) of the variation. The pure effect of soil followed in importance in explaining the abundance of C. imicola. A close link was confirmed between C. imicola abundance and BT outbreaks. To the best of our knowledge, this study is the first to consider wild and domestic hosts in predictive modelling for an arthropod vector. The main findings regarding the near future show that there is no evidence to suggest that there will be an important increase in the distribution range of C. imicola; this contrasts with an expected increase in abundance in the areas where it is already present in mainland Spain. What may be expected regarding the future scenario for orbiviruses in mainland Spain, is that higher predicted C. imicola abundance may significantly change the rate of transmission of orbiviruses. PMID:21151914

  6. A Broad Assessment of Factors Determining Culicoides imicola Abundance: Modelling the Present and Forecasting Its Future in Climate Change Scenarios

    PubMed Central

    Acevedo, Pelayo; Ruiz-Fons, Francisco; Estrada, Rosa; Márquez, Ana Luz; Miranda, Miguel Angel; Gortázar, Christian; Lucientes, Javier

    2010-01-01

    Bluetongue (BT) is still present in Europe and the introduction of new serotypes from endemic areas in the African continent is a possible threat. Culicoides imicola remains one of the most relevant BT vectors in Spain and research on the environmental determinants driving its life cycle is key to preventing and controlling BT. Our aim was to improve our understanding of the biotic and abiotic determinants of C. imicola by modelling its present abundance, studying the spatial pattern of predicted abundance in relation to BT outbreaks, and investigating how the predicted current distribution and abundance patterns might change under future (2011–2040) scenarios of climate change according to the Intergovernmental Panel on Climate Change. C. imicola abundance data from the bluetongue national surveillance programme were modelled with spatial, topoclimatic, host and soil factors. The influence of these factors was further assessed by variation partitioning procedures. The predicted abundance of C. imicola was also projected to a future period. Variation partitioning demonstrated that the pure effect of host and topoclimate factors explained a high percentage (>80%) of the variation. The pure effect of soil followed in importance in explaining the abundance of C. imicola. A close link was confirmed between C. imicola abundance and BT outbreaks. To the best of our knowledge, this study is the first to consider wild and domestic hosts in predictive modelling for an arthropod vector. The main findings regarding the near future show that there is no evidence to suggest that there will be an important increase in the distribution range of C. imicola; this contrasts with an expected increase in abundance in the areas where it is already present in mainland Spain. What may be expected regarding the future scenario for orbiviruses in mainland Spain, is that higher predicted C. imicola abundance may significantly change the rate of transmission of orbiviruses. PMID:21151914

  7. Choosing an electrical energy future for the Pacific Northwest: an alternative scenario

    SciTech Connect

    Beers, J.R.; Cavanagh, R.C.; Lash, T.R.; Mott, L.

    1980-05-19

    A strategy is presented for averting the short-term energy supply uncertainties that undermine prospects for stable economic development in the Pacific Northwest. This strategy is based on: an analysis of the present electric power consumption by various end-use sectors; comparison of incentives to promote energy conservation and lower demand growth; analysis of alternatives to current dependency on hydro power; and a study of the cost of planning and implementing future power supply programs. (LCL)

  8. Tradeoffs among carbon, biodiversity, and economic returns for future land-use scenarios in the conterminous United States

    NASA Astrophysics Data System (ADS)

    Pennington, D. N.; Nelson, E.; Polasky, S.; Plantinga, A.; Lewis, D.; Whithey, J.; Radeloff, V.; Lawler, J.; White, D.; Martinuzzi, S.; Helmers, D.; Lonsdorf, E.

    2011-12-01

    Land-use change significantly contributes to biodiversity loss, changes ecosystem processes, and causes ultimately the loss of ecosystem services. Planning for a sustainable future requires a thorough understanding of expected future land use at both the fine-spatial scale relevant for many ecological processes and at the larger regional levels relevant for large-scale policy making. We use an econometric model to predict business as usual land-use change across the continental US with 100-m resolution in 5-year time steps from 2001 to 2051. We then simulate the affect of various national-level tax, subsidy, and zoning policies on expected land-use change over this time frame. Further, we model the impact of projected land-use change under business as usual and the various policy scenarios on carbon sequestration and biodiversity conservation in the conterminous United States. Our results showed that overall, land use composition will remain fairly stable, but there are considerable regional changes. Differences among policy scenarios were relatively minor highlighting that the underlying economic drivers of land use patterns are strong, and even fairly drastic policies may not be able to change these.

  9. Future climate scenarios for a coastal productive planktonic food web resulting in microplankton phenology changes and decreased trophic transfer efficiency.

    PubMed

    Calbet, Albert; Sazhin, Andrey F; Nejstgaard, Jens C; Berger, Stella A; Tait, Zachary S; Olmos, Lorena; Sousoni, Despoina; Isari, Stamatina; Martínez, Rodrigo A; Bouquet, Jean-Marie; Thompson, Eric M; Båmstedt, Ulf; Jakobsen, Hans H

    2014-01-01

    We studied the effects of future climate change scenarios on plankton communities of a Norwegian fjord using a mesocosm approach. After the spring bloom, natural plankton were enclosed and treated in duplicates with inorganic nutrients elevated to pre-bloom conditions (N, P, Si; eutrophication), lowering of 0.4 pH units (acidification), and rising 3°C temperature (warming). All nutrient-amended treatments resulted in phytoplankton blooms dominated by chain-forming diatoms, and reached 13-16 μg chlorophyll (chl) a l-1. In the control mesocosms, chl a remained below 1 μg l-1. Acidification and warming had contrasting effects on the phenology and bloom-dynamics of autotrophic and heterotrophic microplankton. Bacillariophyceae, prymnesiophyceae, cryptophyta, and Protoperidinium spp. peaked earlier at higher temperature and lower pH. Chlorophyta showed lower peak abundances with acidification, but higher peak abundances with increased temperature. The peak magnitude of autotrophic dinophyceae and ciliates was, on the other hand, lowered with combined warming and acidification. Over time, the plankton communities shifted from autotrophic phytoplankton blooms to a more heterotrophic system in all mesocosms, especially in the control unaltered mesocosms. The development of mass balance and proportion of heterotrophic/autotrophic biomass predict a shift towards a more autotrophic community and less-efficient food web transfer when temperature, nutrients and acidification are combined in a future climate-change scenario. We suggest that this result may be related to a lower food quality for microzooplankton under acidification and warming scenarios and to an increase of catabolic processes compared to anabolic ones at higher temperatures. PMID:24721992

  10. Simulation of future global warming scenarios in rice paddies with an open-field warming facility

    PubMed Central

    2011-01-01

    To simulate expected future global warming, hexagonal arrays of infrared heaters have previously been used to warm open-field canopies of upland crops such as wheat. Through the use of concrete-anchored posts, improved software, overhead wires, extensive grounding, and monitoring with a thermal camera, the technology was safely and reliably extended to paddy rice fields. The system maintained canopy temperature increases within 0.5°C of daytime and nighttime set-point differences of 1.3 and 2.7°C 67% of the time. PMID:22145582

  11. Drug-resistant malaria in Sudan: A review of evidence and scenarios for the future

    PubMed Central

    Adeel, Ahmed Awad

    2012-01-01

    Resistance of falciparum malaria to chloroquine (CQ) has gradually emerged in the late 1970s, reaching unacceptably high proportions over the following three decades of use as frst line treatment in Sudan. By 2004–2006 CQ was replaced by artemisinin-based combination treatment (ACTs), with combination of sulfadoxine-pyrimethamine (SP) and artesunate (AS) deployed as frst-line drug against falciparum malaria. The present review follows the evolution of CQ resistance in Sudan and the available evidence on the response to the present frst-line drugs. The fndings in Sudan are analyzed in view of developments in other African countries and at the global level, with the hope of elucidating possible scenarios for the course of events in the Sudan. Northern Sudan has been one of the areas where signals indicating the emergence of drug resistant malaria parasites have frst originated in Africa. The pattern of low endemicity and low population immunity to malaria, together with massive deployment and improper use of anti-malarial drugs created the ideal environment for creation of anti-malarial drug resistance. Such an environment existed in certain areas in South East Asia that had historically been the epicenter from which falciparum malaria parasites resistant to pyrimethamine and chloroquine have spread to the rest of the world. The alarming recent reports about the emergence of artemisinin (ART) resistance in South East Asia have lead WHO to take specifc measures for prevention, early detection and containment of drug resistance. What could be applicable in Sudan in these measures is discussed here.

  12. Heat-related mortality in Cyprus for current and future climate scenarios.

    PubMed

    Heaviside, Clare; Tsangari, Haritini; Paschalidou, Anastasia; Vardoulakis, Sotiris; Kassomenos, Pavlos; Georgiou, Kyriakos E; Yamasaki, Edna N

    2016-11-01

    Extreme temperatures have long been associated with adverse health impacts, ranging from minor illness, to increased hospitalizations and mortality. Heat-related mortality during summer months is likely to become an increasing public health problem in future due to the effects of climate change. We performed a health impact assessment for heat-related mortality for the warm months of April-September for the years 2004 to 2009 inclusive, for the city of Nicosia and for Cyprus as a whole, based on separately derived exposure-response functions. We further estimated the potential future heat-related mortality by including climate projections for southern Europe, which suggest changes in temperature of between 1°C and 5°C over the next century. There were 32 heat-related deaths per year in Cyprus over the study period. When adding the projected increase in temperature due to climate change, there was a substantial increase in mortality: for a 1°C increase in temperature, heat related mortality in Cyprus was estimated to double to 64 per year, and for a 5°C increase, heat-related mortality was expected to be 8 times the baseline rate for the warm season (281 compared with 32). This analysis highlights the importance of preparing for potential health impacts due to heat in Cyprus, particularly under a changing climate. PMID:27376918

  13. Current Status and Future Scenarios of Residential Building Energy Consumption in China

    SciTech Connect

    Zhou, Nan; Nishida, Masaru; Gao, Weijun

    2008-12-01

    China's rapid economic expansion has propelled it into the ranks of the largest energy consuming nation in the world, with energy demand growth continuing at a pace commensurate with its economic growth. Even though the rapid growth is largely attributable to heavy industry, this in turn is driven by rapid urbanization process, by construction materials and equipment produced for use in buildings. Residential energy is mostly used in urban areas, where rising incomes have allowed acquisition of home appliances, as well as increased use of heating in southern China. The urban population is expected to grow by 20 million every year, accompanied by construction of 2 billion square meters of buildings every year through 2020. Thus residential energy use is very likely to continue its very rapid growth. Understanding the underlying drivers of this growth helps to identify the key areas to analyze energy efficiency potential, appropriate policies to reduce energy use, as well as to understand future energy in the building sector. This paper provides a detailed, bottom-up analysis of residential building energy consumption in China using data from a wide variety of sources and a modeling effort that relies on a very detailed characterization of China's energy demand. It assesses the current energy situation with consideration of end use, intensity, and efficiency etc, and forecast the future outlook for the critical period extending to 2020, based on assumptions of likely patterns of economic activity, availability of energy services, technology improvement and energy intensities.

  14. Toward a Simple Probabilistic GCM Emulator for Integrated Assessment of Climate Change Impacts

    NASA Astrophysics Data System (ADS)

    Sue Wing, I.; Tebaldi, C.; Nychka, D. W.; Winkler, J.

    2014-12-01

    Climate emulators can bridge spatial scales in integrated assessment in ways that allow us to take advantage of the evolving understanding of the impacts of climate change. The spatial scales at which climate impacts occur are much finer than those of the "damage functions" in integrated assessment models (IAMs), which incorporate reduced form climate models to project changes in global mean temperature, and estimate aggregate damages directly from that. Advancing the state of IA modeling requires methods to generate—in a flexible and computationally efficient manner—future changes in climate variables at the geographic scales at which individual impact endpoints can be resolved. The state of the art uses outputs of global climate models (GCMs) forced by warming scenarios to drive impact calculations. However, downstream integrated assessments are perforce "locked-in" to the particular GCM x warming scenario combinations that generated the meteorological fields of interest—it is not possible assess risk due to the absence of probabilities over warming scenarios or model uncertainty. The availability of reduced-form models which can efficiently simulate the envelope of the response of multiple GCMs to a given amount of warming provides us with capability to create probabilistic projections of fine-scale of meteorological changes conditional on global mean temperature change to drive impact calculations in ways that permit risk assessments. This presentation documents a prototype probabilistic climate emulator for use as a GCM diagnostic tool and a driver of climate change impact assessments. We use a regression-based approach to construct multi-model global patterns for changes in temperature and precipitation from the CMIP3 archive. Crucially, regression residuals are used to derive a spatial covariance function of the model- and scenario-dependent deviations from the average pattern. By sampling from this manifold we can rapidly generate many realizations of

  15. Decomposing uncertainties in the future terrestrial carbon budget associated with emission scenario, climate projection, and ecosystem simulation using the ISI-MIP result

    NASA Astrophysics Data System (ADS)

    Nishina, K.; Ito, A.; Falloon, P.; Friend, A. D.; Beerling, D. J.; Ciais, P.; Clark, D. B.; Kahana, R.; Kato, E.; Lucht, W.; Lomas, M.; Pavlick, R.; Schaphoff, S.; Warszawaski, L.; Yokohata, T.

    2014-10-01

    Changes to global net primary production (NPP), vegetation biomass carbon (VegC), and soil organic carbon (SOC) estimated by six global vegetation models (GVM) obtained from an Inter-Sectoral Impact Model Intercomparison Project study were examined. Simulation results were obtained using five global climate models (GCM) forced with four representative concentration pathway (RCP) scenarios. To clarify which component (emission scenarios, climate projections, or global vegetation models) contributes the most to uncertainties in projected global terrestrial C cycling by 2100, analysis of variance (ANOVA) and wavelet clustering were applied to 70 projected simulation sets. In the end of simulation period, the changes from the year of 2000 in all three variables considerably varied from net negative to positive values. ANOVA revealed that the main sources of uncertainty are different among variables and depend on the projection period. We determined that in the global VegC, and SOC projections, GVMs dominate uncertainties (60 and 90%, respectively) rather than climate driving scenarios, i.e., RCPs and GCMs. These results suggested that we don't have still enough resolution among each RCP scenario to evaluate climate change impacts on ecosystem conditions in global terrestrial C cycling. In addition, we found that the contributions of each uncertainty source were spatio-temporally heterogeneous and differed among the GVM variables. The dominant uncertainty source for changes in NPP and VegC varies along the climatic gradient. The contribution of GVM to the uncertainty decreases as the climate division gets cooler (from ca. 80% in the equatorial division to 40% in the snow climatic division). To evaluate the effects of climate change on ecosystems with practical resolution in RCP scenarios, GVMs require further improvement to reduce the uncertainties in global C cycling as much as, if not more than, GCMs. Our study suggests that the improvement of GVMs is a priority for

  16. Trends in African dust transport to the Caribbean: African sources, changing climate, and future scenarios

    NASA Astrophysics Data System (ADS)

    Prospero, J. M.

    2012-12-01

    Aerosol studies were begun on Barbados in 1965 and in Miami in 1974 and they continue to this day. This continuous record of daily measurements shows great variability in dust concentrations on time scales ranging from days to decades. Most notable was the great increase in dust concentrations in the early 1970s, apparently in response to drought in West Africa. Increased dust could impact a number of climate processes and human health in the Caribbean Basin. Indeed, in recent decades the dust concentrations over the Caribbean often exceed the US EPA standards for respirable particles. Thus there is concern over possible health impacts in the present day and how these might change in the future in response to climate change in Africa. It is logical to link of increased dust with drought. Indeed, over much of the Barbados record there was a strong negative correlation between dust concentrations and rainfall in the Sahel-Soudano (SS) region of North Africa. However, in retrospect this correlation was largely driven by three distinct periods in the early record: the period of high rainfall and low dust transport in the mid-to-late 1960s; the first drought in the early 1970s; and the extremely intense drought of the early 1980s. During this period, there seemed to be promising relationships between transport and various climate indices: e.g., El Niño, NAO, AMO. However, since the early 1990s there have been large year-to-year changes in SS rainfall but there is no consistent relationship to dust on Barbados or between dust and common climate indices. Furthermore, over the entire record there is a strong shift in seasonal dust transport, most notably, a great increase in winter and spring transport compared to the pre-drought and early drought period. These trends seem to suggest that there have been profound long-term changes in dust emissions and transport. A possible contributing factor could be increased population and land use in the SS region where over the past

  17. Combining regional climate and national human development scenarios to estimate future vulnerability to extreme climate and weather events

    NASA Astrophysics Data System (ADS)

    Patt, A.; Nussbaumer, P.

    2009-04-01

    Extreme climate and weather events such as droughts, floods, and tropical cyclones account for over 60% of the loss of life, and over 90% of total impacts, from natural disasters. Both observed trends and global climate models (GCMs) suggest that the frequency and intensity of extreme events is increasing, and will continue to increase as a result of climate change. Among planners and policy-makers at both national and international levels there is thus concern that this rise in extreme events will lead to greater losses in the future. Since low levels of development are associated with greater numbers of people killed and needing emergency assistance from natural disasters, the concern is most pronounced for least developed countries. If, however, these countries make substantial improvements in their levels of human development, as leading forecasters suggest may be the case over the coming decades, then their vulnerability to extreme events may fall. In this study, we examine the potential combined effects of increased extreme event frequency and improved levels of human development, to generate scenarios of risk levels into the second half of the century. It is the African continent for which these results may be the most relevant, since it is widely viewed as most vulnerable to increased risks from climate change; we focus on the particular country of Mozambique, which has experienced high losses from droughts, floods, and tropical cyclones in recent decades, and stands out as being among the most vulnerable in Africa. To assess the change in risk levels from the present until 2060, we pull together three pieces of analysis. The first is a statistical analysis of the losses from 1990-2007 from climate-related disasters, using national level data from the Centre for Research on the Epidemiology of Disasters (CRED) and the United Nations. From this analysis, we establish statistical relationships between several drivers of vulnerability—including country size

  18. Scenario analysis on the adaptation of different maize varieties to future climate change in Northeast China

    NASA Astrophysics Data System (ADS)

    Xu, Yanhong; Guo, Jianping; Zhao, Junfang; Mu, Jia

    2014-06-01

    Based on gridded meteorological data for the period 1981-2100 from the RegCM3 regional model, the changing trends of climatic resources in Northeast China are analyzed, and the distributions of maize varieties are accordingly adjusted. In order to explore the effects of different adaptation countermeasures on climatic productivity and meteorological suitability in the future, maize cultivars with resistance to high temperatures and/or drought are selected. The results show that, in the future, there is likely to be a significant increase in thermal resources, and potential atmospheric evaporation will increase correspondingly. Meanwhile, radiation is predicted to increase significantly during 2041-2070 in the growing season. However, changes in precipitation are unlikely to be sufficient enough to offset the intensification in atmospheric evaporation caused by the temperature increase. Water resources and high temperatures are found to be the two major factors constraining grain yield. The results also show that the warming climate will be favorable for maize production where thermal resources are already limited, such as in central and northern Heilongjiang Province and eastern Jilin Province; while in areas that are already relatively warm, such as Liaoning Province, climatic productivity will be reduced. The climatic productivity and the meteorological suitability of maize are found to improve when the planting of resistant varieties is modeled. The utilization of agricultural climatic resources through the adaptation countermeasures of maize varieties is to increase obviously with time. Specifically, maize with drought-resistant properties will have a marked influence on meteorological suitability during 2011-2070, with suitable areas expanding. During 2071-2100, those maize varieties with their upper limit of optimum temperature and maximum temperature increased by 2°, or water requirement reduced to 94%, or upper limit of optimum temperature and maximum

  19. Actuarial assessment of future loss scenarios in the German insurance sector

    NASA Astrophysics Data System (ADS)

    Kubik, A.; Boehm, U.; Born, K.; Broecker, U.; Buechner, M.; Burghoff, O.; Donat, M.; Gerstengarbe, F. W.; Hattermann, F. F.; Held, H.; Kuecken, M.; Leckebusch, G. C.; Ludwig, P.; Nocke, T.; Oesterle, H.; Pardowitz, T.; Pinto, J. G.; Prahl, B. F.; Ulbrich, U.; Werner, P. C.

    2012-04-01

    The German Insurance Association (GDV) analyzed the impacts of climate change for the German insurance market. The work was conducted in cooperation with Potsdam Institute for Climate Impact Research, Freie Universität Berlin and University of Cologne. Different approaches and data sets were used to analyze the impacts of winter storm, hail and floods. High-resolution loss records to residential buildings in Germany were provided. These daily records are available on a fine spatial level of administrative districts from 1997-2007. For the period of 1984-2008 daily losses to residential buildings were derived from motor vehicle own damage insurance, which shows a surprisingly high correlation between building losses and motor vehicle losses caused by natural hazards. Loss functions from GDVs own flood risk model were made available to estimate flood losses. As climate change will progress the mean annual losses in the private residential building insurance might increase. Until 2100 losses due to winter storm could rise by more than 50%. The increase is mainly attributable to the intensification of individual exceptionally severe storms. Climate change will also result in an increase of flood losses. By the end of the century mean losses are expected to be twice as high - depending on the given scenario they could remain constant or triple. Conversely extreme events with high cumulative losses are expected to become significantly more frequent. Storms with a today's return period of 50 years might occur every 10 years at the end of the century. Floods, now returning every 50 years, could arise every 25 years. For the first time hailstorms have been analyzed. It was noticed, that in particular East Germany might be hit more frequently. Despite these findings, i.e. the cost of insurance against natural hazards might increase, the extent of such an increase in Germany should still remain within limits that can be mastered by the insurance companies. But we have to

  20. Production of Biopharmaceuticals in E. coli: Current Scenario and Future Perspectives.

    PubMed

    Baeshen, Mohammed N; Al-Hejin, Ahmed M; Bora, Roop S; Ahmed, Mohamed M M; Ramadan, Hassan A I; Saini, Kulvinder S; Baeshen, Nabih A; Redwan, Elrashdy M

    2015-07-01

    Escherichia coli is the most preferred microorganism to express heterologous proteins for therapeutic use, as around 30% of the approved therapeutic proteins are currently being produced using it as a host. Owing to its rapid growth, high yield of the product, cost-effectiveness, and easy scale-up process, E. coli is an expression host of choice in the biotechnology industry for large-scale production of proteins, particularly non-glycosylated proteins, for therapeutic use. The availability of various E. coli expression vectors and strains, relatively easy protein folding mechanisms, and bioprocess technologies, makes it very attractive for industrial applications. However, the codon usage in E. coli and the absence of post-translational modifications, such as glycosylation, phosphorylation, and proteolytic processing, limit its use for the production of slightly complex recombinant biopharmaceuticals. Several new technological advancements in the E. coli expression system to meet the biotechnology industry requirements have been made, such as novel engineered strains, genetically modifying E. coli to possess capability to glycosylate heterologous proteins and express complex proteins, including full-length glycosylated antibodies. This review summarizes the recent advancements that may further expand the use of the E. coli expression system to produce more complex and also glycosylated proteins for therapeutic use in the future. PMID:25737124

  1. Dental manpower planning in India: current scenario and future projections for the year 2020.

    PubMed

    Vundavalli, Sudhakar

    2014-04-01

    Dental manpower issues in India are discussed in this article which consists of both qualitative and quantitative research. The output of qualified dentists has increased substantially over last decade and at present there are over 117,825 dentists working in India. Although India has a dentist to population ratio of 1:10,271, the newly graduating dentists find it difficult to survive in the private sector. At present less than approximately 5% graduated dentists are working in the Government sector. If the present situation continues there will be more than one lakh dentists over supply by the year 2020. Continuation of the current situation will lead to wastage of highly trained dental manpower and create a threat to the professional integrity of the dentists. This research highlights the fact that there is an urgent need for an organised national human resource planning system to control the supply and demand of dental manpower, to ensure a uniform distribution of manpower and to give future directions to policy makers. PMID:24180215

  2. An integrated land change model for projecting future climate and land change scenarios

    USGS Publications Warehouse

    Wimberly, Michael; Sohl, Terry L.; Lamsal, Aashis; Liu, Zhihua; Hawbaker, Todd J.

    2013-01-01

    Climate change will have myriad effects on ecosystems worldwide, and natural and anthropogenic disturbances will be key drivers of these dynamics. In addition to climatic effects, continual expansion of human settlement into fire-prone forests will alter fire regimes, increase human vulnerability, and constrain future forest management options. There is a need for modeling tools to support the simulation and assessment of new management strategies over large regions in the context of changing climate, shifting development patterns, and an expanding wildland-urban interface. To address this need, we developed a prototype land change simulator that combines human-driven land use change (derived from the FORE-SCE model) with natural disturbances and vegetation dynamics (derived from the LADS model) and incorporates novel feedbacks between human land use and disturbance regimes. The prototype model was implemented in a test region encompassing the Denver metropolitan area along with its surrounding forested and agricultural landscapes. Initial results document the feasibility of integrated land change modeling at a regional scale but also highlighted conceptual and technical challenges for this type of model integration. Ongoing development will focus on improving climate sensitivities and modeling constraints imposed by climate change and human population growth on forest management activities.

  3. Predicting ecological responses of the Florida Everglades to possible future climate scenarios: introduction.

    PubMed

    Aumen, Nicholas G; Havens, Karl E; Best, G Ronnie; Berry, Leonard

    2015-04-01

    Florida's Everglades stretch from the headwaters of the Kissimmee River near Orlando to Florida Bay. Under natural conditions in this flat landscape, water flowed slowly downstream as broad, shallow sheet flow. The ecosystem is markedly different now, altered by nutrient pollution and construction of canals, levees, and water control structures designed for flood control and water supply. These alterations have resulted in a 50% reduction of the ecosystem's spatial extent and significant changes in ecological function in the remaining portion. One of the world's largest restoration programs is underway to restore some of the historic hydrologic and ecological functions of the Everglades, via a multi-billion dollar Comprehensive Everglades Restoration Plan. This plan, finalized in 2000, did not explicitly consider climate change effects, yet today we realize that sea level rise and future changes in rainfall (RF), temperature, and evapotranspiration (ET) may have system-wide impacts. This series of papers describes results of a workshop where a regional hydrologic model was used to simulate the hydrology expected in 2060 with climate changes including increased temperature, ET, and sea level, and either an increase or decrease in RF. Ecologists with expertise in various areas of the ecosystem evaluated the hydrologic outputs, drew conclusions about potential ecosystem responses, and identified research needs where projections of response had high uncertainty. Resource managers participated in the workshop, and they present lessons learned regarding how the new information might be used to guide Everglades restoration in the context of climate change. PMID:25743272

  4. Role of government in public health: Current scenario in India and future scope.

    PubMed

    Lakshminarayanan, Subitha

    2011-01-01

    The new agenda for Public Health in India includes the epidemiological transition, demographical transition, environmental changes and social determinants of health. Based on the principles outlined at Alma-Ata in 1978, there is an urgent call for revitalizing primary health care in order to meet these challenges. The role of the government in influencing population health is not limited within the health sector but also by various sectors outside the health systems. This article is a literature review of the existing government machinery for public health needs in India, its success, limitations and future scope. Health system strengthening, human resource development and capacity building and regulation in public health are important areas within the health sector. Contribution to health of a population also derives from social determinants of health like living conditions, nutrition, safe drinking water, sanitation, education, early child development and social security measures. Population stabilization, gender mainstreaming and empowerment, reducing the impact of climate change and disasters on health, improving community participation and governance issues are other important areas for action. Making public health a shared value across the various sectors is a politically challenging strategy, but such collective action is crucial. PMID:21694957

  5. Microorganisms as efficient biosystem for the synthesis of metal nanoparticles: current scenario and future possibilities.

    PubMed

    Salunke, Bipinchandra K; Sawant, Shailesh S; Lee, Sang-Ill; Kim, Beom Soo

    2016-05-01

    Nanoparticles, the elementary structures of nanotechnology, are important materials for fundamental studies and variety of applications. The different sizes and shapes of these materials exhibit unique physical and chemical properties than their bulk materials. There is a great interest in obtaining well-dispersed, ultrafine, and uniform nanoparticles to delineate and utilize their distinct properties. Nanoparticle synthesis can be achieved through a wide range of materials utilizing a number of methods including physical, chemical, and biological processes with various precursors from liquids and solids. There is a growing need to prepare environmentally friendly nanoparticles that do not produce toxic wastes in their process synthesis protocol. This kind of synthesis can be achieved by green environment benign processes, which happen to be mostly of a biological nature. Microorganisms are one of the most attractive and simple sources for the synthesis of different types of nanoparticles. This review is an attempt to provide the up-to-date information on current status of nanoparticle synthesis by different types of microorganisms such as fungi, yeast, bacteria, cyanobacteria, actinomycete, and algae. The probable biosynthesis mechanism and conditions for size/shape control are described. Various applications of microbially synthesized nanoparticles are summarized. They include antibacterial, antifungal, anticancer, larvicidal, medical imaging, biosensor, and catalytic applications. Finally, limitations and future prospects for specific research are discussed. PMID:27038958

  6. Experience with environmental issues in GM crop production and the likely future scenarios.

    PubMed

    Gaugitsch, Helmut

    2002-02-28

    In the Cartagena Protocol on Biosafety, standards for risk assessment of genetically modified organisms (GMOs) have been set. The criteria and information basis for the risk assessment of GMOs have been modified by the EU Directive 2001/18/EC. Various approaches to further improve the criteria for environmental risk assessment of GMOs are described in this study. Reports on the ecological impacts of the cultivation of certain non-transgenic crop plants with novel or improved traits as analogy models to transgenic plants showed that the effects of agricultural practice can be at least equally important as the effects of gene transfer and invasiveness, although the latter currently play a major role in risk assessment of transgenic crops. Based on these results the applicability of the methodology of 'Life Cycle Analysis (LCA)' for genetically modified plants in comparison with conventionally bred and organically grown crop plants was evaluated. The methodology was regarded as applicable with some necessary future improvements. In current projects, the assessment of toxicology and allergenicity of GM crops are analysed, and suggestions for standardization are developed. Based on results and recommendations from these efforts there are still the challenges of how to operationalize the precautionary principle and how to take into account ecologically sensitive ecosystems, including centres of origin and centres of genetic diversity. PMID:12052677

  7. Diarrheal diseases among children in India: Current scenario and future perspectives

    PubMed Central

    Lakshminarayanan, Subitha; Jayalakshmy, Ramakrishnan

    2015-01-01

    Diarrhea is the third leading cause of childhood mortality in India, and is responsible for 13% of all deaths/year in children under 5 years of age. Information on diarrheal diseases, its determinants and preventive and control strategies need to be reviewed for better planning and organization of health services. This study reviewed literature on diarrheal disease control among under-five children in India from literature published in PubMed, Google search engine and other databases on the internet. Data were described in terms of disease burden in India, determinants, management and intervention strategies, preventive strategies, and role of public health and scope for future action. This review calls for a comprehensive diarrheal disease control strategy, through improved case management, addressing social determinants of health and research in the field of cost-effective interventions to reduce the burden of diarrhea among children in India. With < almost one year left to reach the 2015 Millennium Development Goal on reducing child mortality, progress on control of diarrheal diseases must be accelerated. PMID:25810630

  8. Role of government in public health: Current scenario in India and future scope

    PubMed Central

    Lakshminarayanan, Subitha

    2011-01-01

    The new agenda for Public Health in India includes the epidemiological transition, demographical transition, environmental changes and social determinants of health. Based on the principles outlined at Alma-Ata in 1978, there is an urgent call for revitalizing primary health care in order to meet these challenges. The role of the government in influencing population health is not limited within the health sector but also by various sectors outside the health systems. This article is a literature review of the existing government machinery for public health needs in India, its success, limitations and future scope. Health system strengthening, human resource development and capacity building and regulation in public health are important areas within the health sector. Contribution to health of a population also derives from social determinants of health like living conditions, nutrition, safe drinking water, sanitation, education, early child development and social security measures. Population stabilization, gender mainstreaming and empowerment, reducing the impact of climate change and disasters on health, improving community participation and governance issues are other important areas for action. Making public health a shared value across the various sectors is a politically challenging strategy, but such collective action is crucial. PMID:21694957

  9. Integrated drought causality, hazard, and vulnerability assessment for future socioeconomic scenarios: An information theory perspective

    NASA Astrophysics Data System (ADS)

    Rajsekhar, Deepthi; Singh, Vijay P.; Mishra, Ashok K.

    2015-07-01

    Drought properties and the socioeconomic impact it makes are expected to increase in the coming years due to climate change. Here we review the possible impacts of changes in climate variability on the properties of different drought types. The downscaled and bias-corrected data from five general circulation models (GCMs) were used to produce an ensemble of precipitation, temperature, and wind speed, through a relative entropy approach and were used for drought analysis. A novel Multivariate Drought Index was then employed for an integrated quantification of all physical forms of drought. We studied the spatial patterns of drought properties and performed multivariate frequency analysis for each planning region in Texas to recognize the distribution of potential drought hazard areas under climate change impact by formulating a Drought Hazard Index. A drought vulnerability assessment was also carried out by taking into consideration various socioeconomic factors, leading to the development of socioeconomic Drought Vulnerability Index. A set of composite drought risk maps that combines hazard and vulnerability analysis were developed. This study also explored the cause-effect relationship between the drought events and several hydroclimatic triggers. A transfer entropy measure was used to quantify the causal relationships, thus indicating the predominant future drought triggers. Overall, the findings are expected to help achieve an effective drought mitigation strategy for the state of Texas.

  10. Predicting Ecological Responses of the Florida Everglades to Possible Future Climate Scenarios: Introduction

    NASA Astrophysics Data System (ADS)

    Aumen, Nicholas G.; Havens, Karl E.; Best, G. Ronnie; Berry, Leonard

    2015-04-01

    Florida's Everglades stretch from the headwaters of the Kissimmee River near Orlando to Florida Bay. Under natural conditions in this flat landscape, water flowed slowly downstream as broad, shallow sheet flow. The ecosystem is markedly different now, altered by nutrient pollution and construction of canals, levees, and water control structures designed for flood control and water supply. These alterations have resulted in a 50 % reduction of the ecosystem's spatial extent and significant changes in ecological function in the remaining portion. One of the world's largest restoration programs is underway to restore some of the historic hydrologic and ecological functions of the Everglades, via a multi-billion dollar Comprehensive Everglades Restoration Plan. This plan, finalized in 2000, did not explicitly consider climate change effects, yet today we realize that sea level rise and future changes in rainfall (RF), temperature, and evapotranspiration (ET) may have system-wide impacts. This series of papers describes results of a workshop where a regional hydrologic model was used to simulate the hydrology expected in 2060 with climate changes including increased temperature, ET, and sea level, and either an increase or decrease in RF. Ecologists with expertise in various areas of the ecosystem evaluated the hydrologic outputs, drew conclusions about potential ecosystem responses, and identified research needs where projections of response had high uncertainty. Resource managers participated in the workshop, and they present lessons learned regarding how the new information might be used to guide Everglades restoration in the context of climate change.

  11. Prevention of voice prosthesis biofilms: current scenario and future trends in prolonging prosthesis lifetime.

    PubMed

    Sayed, Sushail I; Datta, Sourav; Deore, Nitin; Kazi, Rehan A; Jagade, Mohan V

    2012-03-01

    Voice rehabilitation after a total laryngectomy is an important requisite for patients' rehabilitation. Oesophageal speech using tracheo-oesophageal-valved prostheses is now considered the state-of-art in postlaryngectomy voice rehabilitation. One of the major drawbacks of voice prostheses is their limited device lifetime. This is due to the deterioration of the silicone rubber material by different bacterial and yeast species, which are organised in the form of a biofilm resulting in internal leakage, increased airflow resistance, impeding speech, respiration and swallowing. The use of antimicrobials though easily applicable is associated with development of resistance if used on long-term basis. Other techniques in the form of modification of physicochemical properties of the silicon surface or covalent binding of antimicrobial agents to the silicon surface have been employed. This article reviews the different strategies investigated until now and the future trends in preventing biofilm formation for prolonging the lifetime of the silicon voice prostheses. Data was collected by conducting a computer aided search of the MED-LINE and PUBMED databases, supplemented by hand searches of key journals. Over 35 articles in the last two decades on the topic have been reviewed out of which 27 were found to be of relevant value for this article. PMID:23029949

  12. Using High-Resolution Future Climate Scenarios to Forecast Bromus tectorum Invasion in Rocky Mountain National Park

    PubMed Central

    West, Amanda M.; Kumar, Sunil; Wakie, Tewodros; Brown, Cynthia S.; Stohlgren, Thomas J.; Laituri, Melinda; Bromberg, Jim

    2015-01-01

    National Parks are hallmarks of ecosystem preservation in the United States. The introduction of alien invasive plant species threatens protection of these areas. Bromus tectorum L. (commonly called downy brome or cheatgrass), which is found in Rocky Mountain National Park (hereafter, the Park), Colorado, USA, has been implicated in early spring competition with native grasses, decreased soil nitrogen, altered nutrient and hydrologic regimes, and increased fire intensity. We estimated the potential distribution of B. tectorum in the Park based on occurrence records (n = 211), current and future climate, and distance to roads and trails. An ensemble of six future climate scenarios indicated the habitable area of B. tectorum may increase from approximately 5.5% currently to 20.4% of the Park by the year 2050. Using ordination methods we evaluated the climatic space occupied by B. tectorum in the Park and how this space may shift given future climate change. Modeling climate change at a small extent (1,076 km2) and at a fine spatial resolution (90 m) is a novel approach in species distribution modeling, and may provide inference for microclimates not captured in coarse-scale models. Maps from our models serve as high-resolution hypotheses that can be improved over time by land managers to set priorities for surveys and removal of invasive species such as B. tectorum. PMID:25695255

  13. Using high-resolution future climate scenarios to forecast Bromus tectorum invasion in Rocky Mountain National Park.

    PubMed

    West, Amanda M; Kumar, Sunil; Wakie, Tewodros; Brown, Cynthia S; Stohlgren, Thomas J; Laituri, Melinda; Bromberg, Jim

    2015-01-01

    National Parks are hallmarks of ecosystem preservation in the United States. The introduction of alien invasive plant species threatens protection of these areas. Bromus tectorum L. (commonly called downy brome or cheatgrass), which is found in Rocky Mountain National Park (hereafter, the Park), Colorado, USA, has been implicated in early spring competition with native grasses, decreased soil nitrogen, altered nutrient and hydrologic regimes, and increased fire intensity. We estimated the potential distribution of B. tectorum in the Park based on occurrence records (n = 211), current and future climate, and distance to roads and trails. An ensemble of six future climate scenarios indicated the habitable area of B. tectorum may increase from approximately 5.5% currently to 20.4% of the Park by the year 2050. Using ordination methods we evaluated the climatic space occupied by B. tectorum in the Park and how this space may shift given future climate change. Modeling climate change at a small extent (1,076 km2) and at a fine spatial resolution (90 m) is a novel approach in species distribution modeling, and may provide inference for microclimates not captured in coarse-scale models. Maps from our models serve as high-resolution hypotheses that can be improved over time by land managers to set priorities for surveys and removal of invasive species such as B. tectorum. PMID:25695255

  14. Projecting water withdrawal and supply for future decades in the U.S. under climate change scenarios.

    PubMed

    Roy, Sujoy B; Chen, Limin; Girvetz, Evan H; Maurer, Edwin P; Mills, William B; Grieb, Thomas M

    2012-03-01

    The sustainability of water resources in future decades is likely to be affected by increases in water demand due to population growth, increases in power generation, and climate change. This study presents water withdrawal projections in the United States (U.S.) in 2050 as a result of projected population increases and power generation at the county level as well as the availability of local renewable water supplies. The growth scenario assumes the per capita water use rate for municipal withdrawals to remain at 2005 levels and the water use rates for new thermoelectric plants at levels in modern closed-loop cooling systems. In projecting renewable water supply in future years, median projected monthly precipitation and temperature by sixteen climate models were used to derive available precipitation in 2050 (averaged over 2040-2059). Withdrawals and available precipitation were compared to identify regions that use a large fraction of their renewable local water supply. A water supply sustainability risk index that takes into account additional attributes such as susceptibility to drought, growth in water withdrawal, increased need for storage, and groundwater use was developed to evaluate areas at greater risk. Based on the ranking by the index, high risk areas can be assessed in more mechanistic detail in future work. PMID:22239116

  15. Climate change signal over the Alpine region - sensitivity to GCM selection

    NASA Astrophysics Data System (ADS)

    Zubler, Elias M.; Fischer, Andreas M.; Liniger, Mark A.

    2015-04-01

    The use of multi-model ensembles has become a common and widely accepted practice to evaluate climate change signals and various aspects of the associated uncertainties. However, for regional analysis of climate change, it is not always feasible to use all of the available model simulations. Some models do not sufficiently represent processes that are important for a particular region, or they lack crucial topographic details to represent the corresponding climate in a realistic manner. When relying on regional climate model projections, a GCM selection is implicitly done, as not all of the available GCM simulations are being dynamically downscaled. Specifically, within EURO-CORDEX, more than 30 RCM simulations and more than 10 GCMs are provided for the strongest emission scenario RCP8.5 from the CMIP5 ensemble. Simulations with other emission scenarios are also provided. However, many RCMs in EURO-CORDEX are driven by one of only five of the available GCMs (CNRM-CM5, MPI-ESM, HadGEM, IPSL and EC-EARTH). It was shown previously that in particular RCM temperature responses tend to cluster according to their driving GCM. Therefore, it is important to better understand the relation among the GCMs. In multi-model ensembles as large as CMIP5, in which models tend to correlate due to their similar origin, model selection or weighting becomes an important issue. This study evaluates the distribution of climate change signals in the CMIP5 ensemble for temperature and precipitation over the Greater Alpine region and shows that different methods of model selection considerably influences the resulting temperature spread in the climate change signals at the end of the century relative to 1980-2009: excluding those GCMs with a poor representation of Alpine climate leads to a spread-difference of more than 1°C compared to a choice where all models are included and given the same weight. Furthermore, it is highlighted that the largest amount of spread can be retained with a

  16. Climate change scenarios experiments predict a future reduction in small pelagic fish recruitment in the Humboldt Current system.

    PubMed

    Brochier, Timothée; Echevin, Vincent; Tam, Jorge; Chaigneau, Alexis; Goubanova, Katerina; Bertrand, Arnaud

    2013-06-01

    The Humboldt Current System (HCS) sustains the world's largest small pelagic fishery. While a cooling of this system has been observed during recent decades, there is debate about the potential impacts of rising atmospheric CO2 concentrations on upwelling dynamics and productivity. Recent studies suggest that under increased atmospheric CO2 scenarios the oceanic stratification may strongly increase and upwelling-favorable winds may remain nearly constant off Peru and increase off Chile. Here we investigate the impact of such climatic conditions on egg and larval dispersal phases, a key stage of small pelagic fish reproduction. We used larval retention rate in a predefined nursery area to provide a proxy for the recruitment level. Numerical experiments are based on hydrodynamics downscaled to the HCS from global simulations forced by pre-industrial (PI), 2 × CO2 and 4 × CO2 scenarios. A biogeochemical model is applied to the PI and 4 × CO2 scenarios to define a time-variable nursery area where larval survival is optimum. We test two distinct values of the oxycline depth that limits larval vertical distribution: One corresponding to the present-day situation and the other corresponding to a shallower oxycline potentially produced by climate change. It appeared that larval retention over the continental shelf increases with enhanced stratification due to regional warming. However, this increase in retention is largely compensated for by a decrease of the nursery area and the shoaling of the oxycline. The underlying dynamics are explained by a combination of stratification effects and mesoscale activity changes. Our results therefore show that future climate change may significantly reduce fish capacity in the HCS with strong ecological, economic and social consequences. PMID:23554213

  17. Projected water consumption in future global agriculture: scenarios and related impacts.

    PubMed

    Pfister, Stephan; Bayer, Peter; Koehler, Annette; Hellweg, Stefanie

    2011-09-15

    Global stress on water and land resources is increasing as a consequence of population growth and higher caloric food demand. Many terrestrial ecosystems have already massively been degraded for providing agricultural land, and water scarcity related to irrigation has damaged water dependent ecosystems. Coping with the food and biomass demand of an increased population, while minimizing the impacts of crop production, is therefore a massive upcoming challenge. In this context, we developed four strategies to deliver the biotic output for feeding mankind in 2050. Expansion on suitable and intensification of existing areas are compared to assess associated environmental impacts, including irrigation demand, water stress under climate change, and the productivity of the occupied land. Based on the agricultural production pattern and impacts of the strategies we identified the trade-offs between land and water use. Intensification in regions currently under deficit irrigation can increase agricultural output by up to 30%. However, intensified crop production causes enormous water stress in many locations and might not be a viable solution. Furthermore, intensification alone will not be able to meet future food demand: additionally, a reduction of waste by 50% along the food supply chain or expansion of agricultural land is required for satisfying current per-capita meat and bioenergy consumption. Suitable areas for such expansion are mainly located in Africa, followed by South America. The increased land stress is of smaller concern than the water stress modeled for the intensification case. Therefore, a combination of waste reduction with expansion on suitable pastures generally results as the best option, along with some intensification on selected areas. Our results suggested that minimizing environmental impacts requires fundamental changes in agricultural systems and international cooperation, by producing crops where it is most environmentally efficient and not

  18. Global sensitivity analysis of CMIP5 predictions of future changes in precipitation, reference evapotranspiration and drought index (SPEI) over the U.S.

    NASA Astrophysics Data System (ADS)

    Chang, S. J.; Graham, W. D.; Hwang, S.

    2014-12-01

    Projecting evapotranspiration for estimating future agricultural irrigation demand is uncertain because estimates of future precipitation and evapotranspiration vary significantly depending on the Global Climate Model (GCM), future RCP emission scenario and reference evapotranspiration (RET) estimation method selected. Understanding the relative contributions of these various sources of uncertainty is important for effective long-term water resource planning. In this study variance-based sensitivity analysis (Saltelli et al., 2010) was used to assess the sensitivity of estimated future changes in precipitation, RET and Standardized Precipitation Evapotranspiration Index drought index (SPEI) to 9 GCMs, 3 RCP scenarios, and 11 ET estimation methods over 9 regions of the United States for two future periods: 2030-2060 and 2070-2100. Future changes in precipitation were found to be most sensitive to GCM selection for all U.S. regions and both future periods. For projecting changes in future RET and SPEI, the selection of ET method and GCM were more sensitive than the selection of RCP scenario. In general, changes in ET and SPEI were most sensitive to ET estimation methods in the cold season and to GCM selection in the warm season; however sensitivities differed by region, season and future period. This study underscores the importance of evaluating projections of future agricultural irrigation demand for an ensemble of GCMs and ET estimation methods rather than relying on few GCMs and a single ET estimation method.

  19. Hydrologic uncertainties in climate change from IPCC AR4 GCM simulations of the Chungju Basin, Korea

    NASA Astrophysics Data System (ADS)

    Bae, Deg-Hyo; Jung, Il-Won; Lettenmaier, Dennis P.

    2011-04-01

    SummaryThis study attempts to analyze the effects of hydrological models and potential evapotranspiration (PET) computation methods on climate change impact assessment of water resources by using Intergovernmental Panel on Climate Change (IPCC) Forth Assessment Report (AR4) General Circulation Model (GCM) simulations. Three semi-distributed hydrological models (PRMS, SLURP and SWAT) and seven different PET computation methods (Hamon and Jensen-Haise methods for PRMS, Penman-Monteith, Granger and Spittlehous-Black for SLURP, Penman-Monteith, Priestley-Taylor and Hargreaves for SWAT) are used for comparing differences of response to climate change in the Chungju Dam basin, Korea. For future climate change projections, the 13 GCM outputs with three greenhouse gas (GHG) emission scenarios are downscaled for the regional-scale hydrological model inputs by using a stochastic weather generator, WXGEN. Our results show that the hydrological models and PET methods can induce major differences in runoff change under the same climate change simulations, and that those differences are greater for 2071-2100 than for 2011-2040. The different sensitivities of PET methods to climate simulations greatly increase the range of projected runoff changes. Additionally, the differences in modeled runoff changes are smaller for the wet period (May-October) than for the dry period (November-April). This result indicates that the runoff projections for the dry season could be highly uncertain due to hydrologic models and PET methods, indicating that more caution will be needed to assess future changes in the risk of low flows and droughts.

  20. Phytoremediation of textile dyes and effluents: Current scenario and future prospects.

    PubMed

    Khandare, Rahul V; Govindwar, Sanjay P

    2015-12-01

    , Typha domingensis, Pogonatherum crinitum and Alternanthera philoxeroides. The developed phytoreactors gave noteworthy treatments, and significant reductions in biological oxygen demand, chemical oxygen demand, American Dye Manufacturers Institute color removal value, total organic carbon, total dissolved solids, total suspended solids, turbidity and conductivity of the dye effluents after phytoremediation. Metabolites of dyes and effluents have been assayed for phytotoxicity, cytotoxicity, genotoxicity and animal toxicity and were proved to be non/less toxic than untreated compounds. Effective strategies to handle fluctuating dye load and hydraulics for in situ treatment needs scientific attention. Future studies on development of transgenic plants for efficacious phytodegradation of textile dyes should be focused. PMID:26386310

  1. Feedbacks between ice and ocean dynamics at the West Antarctic Filchner-Ronne Ice Shelf in future global warming scenarios

    NASA Astrophysics Data System (ADS)

    Goeller, Sebastian; Timmermann, Ralph

    2016-04-01

    The ice flow at the margins of the West Antarctic Ice Sheet is moderated by large ice shelves. Their buttressing effect substantially controls the mass balance of the WAIS and thus its contribution to sea level rise. The stability of these ice shelves results from the balance of mass gain by accumulation and ice flow from the adjacent ice sheet and mass loss by calving and basal melting due to the ocean heat flux. Recent results of ocean circulation models indicate that warm circumpolar water of the Southern Ocean may override the submarine slope front of the Antarctic Continent and boost basal ice shelf melting. In particular, ocean simulations for several of the IPCC's future climate scenarios demonstrate the redirection of a warm coastal current into the Filchner Trough and underneath the Filchner-Ronne Ice Shelf within the next decades. In this study, we couple the finite elements ocean circulation model FESOM and the three-dimensional thermomechanical ice flow model RIMBAY to investigate the complex interactions between ocean and ice dynamics at the Filchner-Ronne Ice Shelf. We focus on the impact of a changing ice shelf cavity on ocean dynamics as well as the feedback of the resulting sub-shelf melting rates on the ice shelf geometry and implications for the dynamics of the adjacent marine-based Westantarctic Ice Sheet. Our simulations reveal the high sensitivity of grounding line migration to ice-ocean interactions within the Filchner-Ronne Ice Shelf and emphasize the importance of coupled model studies for realistic assessments of the Antarctic mass balance in future global warming scenarios.

  2. Water resources under future scenarios of climate change and biofuel development: A case study for Yakima River basin

    NASA Astrophysics Data System (ADS)

    Demissie, Y. K.

    2013-12-01

    In recent years, biofuel has become an important renewable energy source with a potential to help mitigate climate change. However, agriculture productivity and its potential use for sustainable production of biofuel are strongly dependent on climate and water conditions that may change in response to future changes in climate and/or socio-economic conditions. For instant in 2012, the US has experienced the most severe drought that results in a 12% decrease in corn production - the main feedstock used for biofuel in US - indicating the vulnerability of biofuel development and policies to change in climate and associated extreme weather conditions. To understand this interrelationship and the combined effects of increased biofuel production and climate change on regional and local water resources, we have applied a SWAT watershed model which integrates future scenarios of climate change and biofuel development and simulates the associated impacts on watershed hydrology, water quality, soil erosion, and agriculture productivity. The study is applied to the Yakima River basin (YRB), which has higher biomass resources in Washington State and represents a region where forestry and agriculture intersect with considerable water shortage as well as spatial variations in annual precipitation. Unlike earlier studies, which commonly define biofuel and climate change scenarios independently, in this study the decision on alternative biofuel feedstock mixes and associated change in land use and management take into account the anticipated climate change. The resulted spatial and temporal distributions of water budget, nutrient loads, and sediment erosion is analyzed to evaluate the effectiveness of biofuel policies under constraints of climate change and water resources in the region.

  3. Assessing hydrological drought risk for the irrigation sector in future climate scenarios: lessons learned from the Apulia case study (Italy)

    NASA Astrophysics Data System (ADS)

    Critto, Andrea; Torresan, Silvia; Ronco, Paolo; Zennaro, Federica; Santini, Monia; Trabucco, Antonio; Marcomini, Antonio

    2016-04-01

    Climate change is already affecting the frequency of drought events which may threaten the current stocks of water resources and thus the availability of freshwater for the irrigation. The achievement of a sustainable equilibrium between the availability of water resources and the irrigation demand is essentially related to the planning and implementation of evidence-based adaptation strategies and actions. In this sense, the improvement (of existing) and the development of (new) appropriate risk assessment methods and tools to evaluate the impact of drought events on irrigated crops is fundamental in order to assure that the agricultural yields are appropriate to meet the current and future food and market demand. This study evaluates the risk of hydrological drought on the irrigated agronomic compartment of Apulia, a semi-arid region in Southern Italy. We applied a stepwise Regional Risk Assessment (RRA) procedure, based on the consecutive analysis of hazards, exposure, vulnerability and risks, integrating the qualitative and quantitative available information. Future climate projections for the timeframes 2021-2050 and 2041-2070 were provided by COSMO-CLM under the radiative forcing RCP4.5 and RCP8.5. The run-off feeding the water stocks of the most important irrigation reservoirs in Apulia was then modeled with Arc-SWAT. Hence, the hazard analysis was carried out in order to estimate the degree of fulfillment of actual irrigation demand satisfied by water supply of different reservoirs in future scenarios. Vulnerability of exposed irrigated crops was evaluated depending on three factors accounting for crop yield variation vs water stress, water losses along the irrigation network, diversification of water supply. Resulting risk and vulnerability maps allowed: the identification of Reclamation Consortia at higher risk of not fulfilling their future irrigation demand (e.g. Capitanata Reclamation Consortia in RCP8.5 2041-2070 scenario); the ranking of most

  4. ESP v2.0: Enhanced method for exploring emission impacts of future scenarios in the United States – addressing spatial allocation

    EPA Science Inventory

    The Emission Scenario Projection (ESP) method produces future-year air pollutant emissions for mesoscale air quality modeling applications. We present ESP v2.0, which expands upon ESP v1.0 by spatially allocating future-year emissions to account for projected population and land ...

  5. From provocative narrative scenarios to quantitative biophysical model results: Simulating plausible futures to 2070 in an urbanizing agricultural watershed in Wisconsin, USA

    NASA Astrophysics Data System (ADS)

    Booth, E.; Chen, X.; Motew, M.; Qiu, J.; Zipper, S. C.; Carpenter, S. R.; Kucharik, C. J.; Steven, L. I.

    2015-12-01

    Scenario analysis is a powerful tool for envisioning future social-ecological change and its consequences on human well-being. Scenarios that integrate qualitative storylines and quantitative biophysical models can create a vivid picture of these potential futures but the integration process is not straightforward. We present - using the Yahara Watershed in southern Wisconsin (USA) as a case study - a method for developing quantitative inputs (climate, land use/cover, and land management) to drive a biophysical modeling suite based on four provocative and contrasting narrative scenarios that describe plausible futures of the watershed to 2070. The modeling suite consists of an agroecosystem model (AgroIBIS-VSF), hydrologic routing model (THMB), and empirical lake water quality model and estimates several biophysical indicators to evaluate the watershed system under each scenario. These indicators include water supply, lake flooding, agricultural production, and lake water quality. Climate (daily precipitation and air temperature) for each scenario was determined using statistics from 210 different downscaled future climate projections for two 20-year time periods (2046-2065 and 2081-2100) and modified using a stochastic weather generator to allow flexibility for matching specific climate events within the scenario narratives. Land use/cover for each scenario was determined first by quantifying changes in areal extent every decade for 15 categories at the watershed scale to be consistent with the storyline events and theme. Next, these changes were spatially distributed using a rule-based framework based on land suitability metrics that determine transition probabilities. Finally, agricultural inputs including manure and fertilizer application rates were determined for each scenario based on the prevalence of livestock, water quality regulations, and technological innovations. Each scenario is compared using model inputs (maps and time-series of land use/cover and

  6. Exploring the Effects of GCM Uncertainty on the Hydrology and Water Allocation of a Small Mountain Watershed in Northern British Columbia, Canada.

    NASA Astrophysics Data System (ADS)

    Hirshfield, F.; Anderson, A.; Sui, J.

    2014-12-01

    Climate change and allocation of water supplies are causing water shortages and low flow conditions that threaten aquatic ecosystems around the world. Small mountain streams in Western Canada are experiencing increased water use from small diversion hydropower, increasing population, mining, agriculture, and changing energy extraction techniques. In addition, there are very few gauging sites for baseline water data because of the rugged mountain terrain and cold climate. Baseline data is important due to the sensitivity of small mountain streams to shifts in timing of snow pack melt and mid-winter melting, especially near and in coastal regions. Here we use HBV-EC to simulate the range in future flow in a northern mountain watershed under various climate scenarios and explore the uncertainty induced by different GMC models and downscaling for the Goathorn Creek watershed. To explore the effects of GCM model variability we selected four models (CGCM3, ECHAM5, GFDL-CM2.1, and CSIRO-Mk) and used the TreeGen downscaling method to generate multiple ensembles for emissions scenarios (A1B, A2 and B1) for each GCM model. The calibrated HBV-EC model was sensitive to the climate inputs and produced a 50 percent variation in flows for the 2050's and 2080's with the greatest reduction in mean flows by 0.33 m3/s predicted for the 2020's climate. Although, modeled future discharge is highly variable, some consistent trends are useful for water managers: results suggest spring discharge may occur up to two months earlier (CGCM3, A2 scenario), but was constantly one month earlier for all emission scenarios. This can lead to feasible management strategies such as granting fewer water permits or in areas with high future demand issuing permits with provisions for future storage.

  7. Vegetation projections for Wind Cave National Park with three future climate scenarios: Final report in completion of Task Agreement J8W07100052

    USGS Publications Warehouse

    King, David A.; Bachelet, Dominique M.; Symstad, Amy J.

    2013-01-01

    Since the initial application of MC1 to a small portion of WICA (Bachelet et al. 2000), the model has been altered to improve model performance with the inclusion of dynamic fire. Applying this improved version to WICA required substantial recalibration, during which we have made a number of improvements to MC1 that will be incorporated as permanent changes. In this report we document these changes and our calibration procedure following a brief overview of the model. We compare the projections of current vegetation to the current state of the park and present projections of vegetation dynamics under future climates downscaled from three GCMs selected to represent the existing range in available GCM projections. In doing so, we examine the consequences of different management options regarding fire and grazing, major aspects of biotic management at Wind Cave.

  8. Studies of African wave disturbances with the GISS GCM

    NASA Technical Reports Server (NTRS)

    Druyan, Leonard M.; Hall, Timothy M.

    1994-01-01

    Simulations made with the general circulation model of the NASA/Goddard Institute for Space Studies (GISS GCM) run at 4 deg latitude by 5 deg longitude horizontal resolution are analyzed to determine the model's representation of African wave disturbances. Waves detected in the model's lower troposphere over northern Africa during the summer monsoon season exhibit realistic wavelengths of about 2200 km. However, power spectra of the meridional wind show that the waves propagate westward too slowly, with periods of 5-10 days, about twice the observed values. This sluggishness is most pronounced during August, consistent with simulated 600-mb zonal winds that are only about half the observed speeds of the midtropospheric jet. The modeled wave amplitudes are strongest over West Africa during the first half of the summer but decrease dramatically by September, contrary to observational evidence. Maximum amplitudes occur at realistic latitudes, 12 deg - 20 deg N, but not as observed near the Atlantic coast. Spectral analyses suggest some wave modulation of precipitation in the 5-8 day band, and compositing shows that precipitation is slightly enhanced east of the wave trough, coincident with southerly winds. Extrema of low-level convergence west of the wave troughs, coinciding with northerly winds, were not preferred areas for simulated precipitation, probably because of the drying effect of this advection, as waves were generally north of the humid zone. The documentation of African wave disturbances in the GISS GCM is a first step toward considering wave influences in future GCM studies of Sahel drought.

  9. Future projections of insured losses in the German private building sector following the A1B climatic change scenario

    NASA Astrophysics Data System (ADS)

    Held, H.; Gerstengarbe, F.-W.; Hattermann, F.; Pinto, J. G.; Ulbrich, U.; Böhm, U.; Born, K.; Büchner, M.; Donat, M. G.; Kücken, M.; Leckebusch, G. C.; Nissen, K.; Nocke, T.; Österle, H.; Pardowitz, T.; Werner, P. C.; Burghoff, O.; Broecker, U.; Kubik, A.

    2012-04-01

    We present an overview of a complementary-approaches impact project dealing with the consequences of climate change for the natural hazard branch of the insurance industry in Germany. The project was conducted by four academic institutions together with the German Insurance Association (GDV) and finalized in autumn 2011. A causal chain is modeled that goes from global warming projections over regional meteorological impacts to regional economic losses for private buildings, hereby fully covering the area of Germany. This presentation will focus on wind storm related losses, although the method developed had also been applied in part to hail and flood impact losses. For the first time, the GDV supplied their collected set of insurance cases, dating back for decades, for such an impact study. These data were used to calibrate and validate event-based damage functions which in turn were driven by three different types of regional climate models to generate storm loss projections. The regional models were driven by a triplet of ECHAM5 experiments following the A1B scenario which were found representative in the recent ENSEMBLES intercomparison study. In our multi-modeling approach we used two types of regional climate models that conceptually differ at maximum: a dynamical model (CCLM) and a statistical model based on the idea of biased bootstrapping (STARS). As a third option we pursued a hybrid approach (statistical-dynamical downscaling). For the assessment of climate change impacts, the buildings' infrastructure and their economic value is kept at current values. For all three approaches, a significant increase of average storm losses and extreme event return levels in the German private building sector is found for future decades assuming an A1B-scenario. However, the three projections differ somewhat in terms of magnitude and regional differentiation. We have developed a formalism that allows us to express the combined effect of multi-source uncertainty on return

  10. Investigating Future Climate Scenarios

    ERIC Educational Resources Information Center

    Dempsey, Chris; Bodzin, Alec; Anastasio, David; Sahagian, Dork; Cirucci, Lori

    2012-01-01

    One of the most alarming impacts of projected climate change is a significant rise in sea level. Sea level has varied by hundreds of meters over geologic time, yet these changes have generally been slow paced, allowing ecosystems to adjust to changing land surface and marine habitats. Since the Industrial Revolution, anthropogenic emissions have…

  11. Source-Based Modeling Of Urban Stormwater Quality Response to the Selected Scenarios Combining Future Changes in Climate and Socio-Economic Factors.

    PubMed

    Borris, Matthias; Leonhardt, Günther; Marsalek, Jiri; Österlund, Heléne; Viklander, Maria

    2016-08-01

    The assessment of future trends in urban stormwater quality should be most helpful for ensuring the effectiveness of the existing stormwater quality infrastructure in the future and mitigating the associated impacts on receiving waters. Combined effects of expected changes in climate and socio-economic factors on stormwater quality were examined in two urban test catchments by applying a source-based computer model (WinSLAMM) for TSS and three heavy metals (copper, lead, and zinc) for various future scenarios. Generally, both catchments showed similar responses to the future scenarios and pollutant loads were generally more sensitive to changes in socio-economic factors (i.e., increasing traffic intensities, growth and intensification of the individual land-uses) than in the climate. Specifically, for the selected Intermediate socio-economic scenario and two climate change scenarios (RSP = 2.6 and 8.5), the TSS loads from both catchments increased by about 10 % on average, but when applying the Intermediate climate change scenario (RCP = 4.5) for two SSPs, the Sustainability and Security scenarios (SSP1 and SSP3), the TSS loads increased on average by 70 %. Furthermore, it was observed that well-designed and maintained stormwater treatment facilities targeting local pollution hotspots exhibited the potential to significantly improve stormwater quality, however, at potentially high costs. In fact, it was possible to reduce pollutant loads from both catchments under the future Sustainability scenario (on average, e.g., TSS were reduced by 20 %), compared to the current conditions. The methodology developed in this study was found useful for planning climate change adaptation strategies in the context of local conditions. PMID:27153819

  12. Source-Based Modeling Of Urban Stormwater Quality Response to the Selected Scenarios Combining Future Changes in Climate and Socio-Economic Factors

    NASA Astrophysics Data System (ADS)

    Borris, Matthias; Leonhardt, Günther; Marsalek, Jiri; Österlund, Heléne; Viklander, Maria

    2016-08-01

    The assessment of future trends in urban stormwater quality should be most helpful for ensuring the effectiveness of the existing stormwater quality infrastructure in the future and mitigating the associated impacts on receiving waters. Combined effects of expected changes in climate and socio-economic factors on stormwater quality were examined in two urban test catchments by applying a source-based computer model (WinSLAMM) for TSS and three heavy metals (copper, lead, and zinc) for various future scenarios. Generally, both catchments showed similar responses to the future scenarios and pollutant loads were generally more sensitive to changes in socio-economic factors (i.e., increasing traffic intensities, growth and intensification of the individual land-uses) than in the climate. Specifically, for the selected Intermediate socio-economic scenario and two climate change scenarios (RSP = 2.6 and 8.5), the TSS loads from both catchments increased by about 10 % on average, but when applying the Intermediate climate change scenario (RCP = 4.5) for two SSPs, the Sustainability and Security scenarios (SSP1 and SSP3), the TSS loads increased on average by 70 %. Furthermore, it was observed that well-designed and maintained stormwater treatment facilities targeting local pollution hotspots exhibited the potential to significantly improve stormwater quality, however, at potentially high costs. In fact, it was possible to reduce pollutant loads from both catchments under the future Sustainability scenario (on average, e.g., TSS were reduced by 20 %), compared to the current conditions. The methodology developed in this study was found useful for planning climate change adaptation strategies in the context of local conditions.

  13. Multi-GCM Climate Projection for the Mediterranean and Related Impact on the Forest Fire Risk (with a stress on Sardinia)

    NASA Astrophysics Data System (ADS)

    Dubrovsky, M.; Duce, P.; Arca, B.; Pellizzaro, G.

    2012-04-01

    PRASCE project (2008-2011) aimed at a development of the probabilistic projection of climate accounting for the uncertainties coming from various sources. The methodology was based on linking the stochastic weather generator (which may represent uncertainty due to natural climate variability) with the GCM-based climate change scenarios, which are determined by the pattern scaling method and account for uncertainties in emission scenario, climate sensitivity and between-GCM variability. The methodology is being used to create synthetic weather series representing present and future climates for various climate change impact experiments. One of the regions under focus in this project was the Mediterranean, especially Sardinia. The presentation will consist of two parts: (1) Multi-GCM climate change scenarios for the Mediterranean. (i) The maps will show the probabilistic (based on all GCMs included in IPCC-AR4 dataset) projection of temperature, precipitation and Palmer Drought Severity Index (PDSI). In addition, the scenarios will include changes of climatic characteristics (also being the parameters of the weather generator), which affect high frequency variability, e.g. changes in probability of wet day occurrence and variability of daily values. (ii) Options for choosing a representative subset of GCMs from all available GCMs will be discussed. This part is motivated by the fact, that some climate change impact studies do not allow to employ all available GCMs, so the task arise to choose the subset of GCMs based on the quality of GCMs and ability of the subset to represent the between GCM uncertainty. To demonstrate the methodology, the procedure will be applied to Sardinia. (2) Assessment of possible impacts of climate change on wildland fire risk. The M&Rfi weather generator linked to climate change scenarios derived from a subset of available GCMs will be used to create synthetic weather series (air temperature and relative humidity, wind speed

  14. Identifying and Mitigating Potential Nutrient and Sediment Hot Spots under a Future Scenario in the Missouri River Basin

    SciTech Connect

    Wu, May; Zhang, Zhonglong

    2015-09-01

    Using the Soil and Water Assessment Tool (SWAT) for large-scale watershed modeling could be useful for evaluating the quality of the water in regions that are dominated by nonpoint sources in order to identify potential “hot spots” for which mitigating strategies could be further developed. An analysis of water quality under future scenarios in which changes in land use would be made to accommodate increased biofuel production was developed for the Missouri River Basin (MoRB) based on a SWAT model application. The analysis covered major agricultural crops and biofuel feedstock in the MoRB, including pasture land, hay, corn, soybeans, wheat, and switchgrass. The analysis examined, at multiple temporal and spatial scales, how nitrate, organic nitrogen, and total nitrogen; phosphorus, organic phosphorus, inorganic phosphorus, and total phosphorus; suspended sediments; and water flow (water yield) would respond to the shifts in land use that would occur under proposed future scenarios. The analysis was conducted at three geospatial scales: (1) large tributary basin scale (two: Upper MoRB and Lower MoRB); (2) regional watershed scale (seven: Upper Missouri River, Middle Missouri River, Middle Lower Missouri River, Lower Missouri River, Yellowstone River, Platte River, and Kansas River); and (3) eight-digit hydrologic unit (HUC-8) subbasin scale (307 subbasins). Results showed that subbasin-level variations were substantial. Nitrogen loadings decreased across the entire Upper MoRB, and they increased in several subbasins in the Lower MoRB. Most nitrate reductions occurred in lateral flow. Also at the subbasin level, phosphorus in organic, sediment, and soluble forms was reduced by 35%, 45%, and 65%, respectively. Suspended sediments increased in 68% of the subbasins. The water yield decreased in 62% of the subbasins. In the Kansas River watershed, the water quality improved significantly with regard to every nitrogen and phosphorus compound. The improvement was

  15. Modeling tidal freshwater marsh sustainability in the Sacramento-San Joaquin Delta under a broad suite of potential future scenarios

    USGS Publications Warehouse

    Swanson, Kathleen M.; Drexler, Judith Z.; Fuller, Christopher C.; Schoellhamer, David H.

    2015-01-01

    In this paper, we report on the adaptation and application of a one-dimensional marsh surface elevation model, the Wetland Accretion Rate Model of Ecosystem Resilience (WARMER), to explore the conditions that lead to sustainable tidal freshwater marshes in the Sacramento–San Joaquin Delta. We defined marsh accretion parameters to encapsulate the range of observed values over historic and modern time-scales based on measurements from four marshes in high and low energy fluvial environments as well as possible future trends in sediment supply and mean sea level. A sensitivity analysis of 450 simulations was conducted encompassing a range of eScholarship provides open access, scholarly publishing services to the University of California and delivers a dynamic research platform to scholars worldwide. porosity values, initial elevations, organic and inorganic matter accumulation rates, and sea-level rise rates. For the range of inputs considered, the magnitude of SLR over the next century was the primary driver of marsh surface elevation change. Sediment supply was the secondary control. More than 84% of the scenarios resulted in sustainable marshes with 88 cm of SLR by 2100, but only 32% and 11% of the scenarios resulted in surviving marshes when SLR was increased to 133 cm and 179 cm, respectively. Marshes situated in high-energy zones were marginally more resilient than those in low-energy zones because of their higher inorganic sediment supply. Overall, the results from this modeling exercise suggest that marshes at the upstream reaches of the Delta—where SLR may be attenuated—and high energy marshes along major channels with high inorganic sediment accumulation rates will be more resilient to global SLR in excess of 88 cm over the next century than their downstream and low-energy counterparts. However, considerable uncertainties exist in the projected rates of sea-level rise and sediment avail-ability. In addition, more research is needed to constrain future

  16. Effects of adjusting cropping systems on utilization efficiency of climatic resources in Northeast China under future climate scenarios

    NASA Astrophysics Data System (ADS)

    Guo, Jianping; Zhao, Junfang; Xu, Yanhong; Chu, Zheng; Mu, Jia; Zhao, Qian

    Quantitatively evaluating the effects of adjusting cropping systems on the utilization efficiency of climatic resources under climate change is an important task for assessing food security in China. To understand these effects, we used daily climate variables obtained from the regional climate model RegCM3 from 1981 to 2100 under the A1B scenario and crop observations from 53 agro-meteorological experimental stations from 1981 to 2010 in Northeast China. Three one-grade zones of cropping systems were divided by heat, water, topography and crop-type, including the semi-arid areas of the northeast and northwest (III), the one crop area of warm-cool plants in semi-humid plain or hilly regions of the northeast (IV), and the two crop area in irrigated farmland in the Huanghuaihai Plain (VI). An agro-ecological zone model was used to calculate climatic potential productivities. The effects of adjusting cropping systems on climate resource utilization in Northeast China under the A1B scenario were assessed. The results indicated that from 1981 to 2100 in the III, IV and VI areas, the planting boundaries of different cropping systems in Northeast China obviously shifted toward the north and the east based on comprehensively considering the heat and precipitation resources. However, due to high temperature stress, the climatic potential productivity of spring maize was reduced in the future. Therefore, adjusting the cropping system is an effective way to improve the climatic potential productivity and climate resource utilization. Replacing the one crop in one year model (spring maize) by the two crops in one year model (winter wheat and summer maize) significantly increased the total climatic potential productivity and average utilization efficiencies. During the periods of 2011-2040, 2041-2070 and 2071-2100, the average total climatic potential productivities of winter wheat and summer maize increased by 9.36%, 11.88% and 12.13% compared to that of spring maize

  17. Evaluation of Potential Wetlands to Reduce Peak Flows in Future Climate Scenarios in the Eagle Creek Watershed, IN

    NASA Astrophysics Data System (ADS)

    Walters, K. M.; Babbar-Sebens, M.

    2014-12-01

    Global climate change is expected to increase the severity of floods and droughts and the frequency of extreme streamflow events in the Midwestern United States. Managing these projected impacts poses a major challenge for water resources, conservation, and land use management. Wetlands have been considered as a conservation strategy and work to increase the capacity of watersheds by storing runoff upstream. The implementation of wetlands, especially in tile-drained agricultural watersheds, can reduce peak flows and help mitigate the anticipated impacts of climate change. The goal of this study was to evaluate the long-term performance of wetlands to reduce peak flows in future climate scenarios in the Eagle Creek Watershed in Indiana. A secondary goal of this research was to establish a methodology for incorporating climate change into hydrological models to conduct long-term land management studies and decisions. The Soil and Water Assessment Tool (SWAT) model was forced with an ensemble of bias corrected climate projections from the North American Regional Climate Change Assessment Program (NARCCAP) to evaluate the impacts of climate change on watershed hydrology and the ability of wetlands to reduce peak flows. Long-term monthly streamflow results predicted a slight increase in streamflow in the winter and a slight decrease in the summer from the past (1971-2000) to future (2041-2070) time periods. About half of the climate realizations produced an increase in the 5% exceedance flow and half a decrease, but all predictions agreed that high flow events will increase in frequency in the winter and decrease in the spring and summer. Results from the wetland analysis showed that if all potential wetlands identified in a previous study are installed in the watershed, maximum peak flow reductions of around 20-50 cubic meters per second for the past and future, as well as decreased frequency of extreme events, can be seen. Wetlands proved to be a robust solution for

  18. The Volta Grande do Xingu: reconstruction of past environments and forecasting of future scenarios of a unique Amazonian fluvial landscape

    NASA Astrophysics Data System (ADS)

    Sawakuchi, A. O.; Hartmann, G. A.; Sawakuchi, H. O.; Pupim, F. N.; Bertassoli, D. J.; Parra, M.; Antinao, J. L.; Sousa, L. M.; Sabaj Pérez, M. H.; Oliveira, P. E.; Santos, R. A.; Savian, J. F.; Grohmann, C. H.; Medeiros, V. B.; McGlue, M. M.; Bicudo, D. C.; Faustino, S. B.

    2015-12-01

    The Xingu River is a large clearwater river in eastern Amazonia and its downstream sector, known as the Volta Grande do Xingu ("Xingu Great Bend"), is a unique fluvial landscape that plays an important role in the biodiversity, biogeochemistry and prehistoric and historic peopling of Amazonia. The sedimentary dynamics of the Xingu River in the Volta Grande and its downstream sector will be shifted in the next few years due to the construction of dams associated with the Belo Monte hydropower project. Impacts on river biodiversity and carbon cycling are anticipated, especially due to likely changes in sedimentation and riverbed characteristics. This research project aims to define the geological and climate factors responsible for the development of the Volta Grande landscape and to track its environmental changes during the Holocene, using the modern system as a reference. In this context, sediment cores, riverbed rock and sediment samples and greenhouse gas (GHG) samples were collected in the Volta Grande do Xingu and adjacent upstream and downstream sectors. The reconstruction of past conditions in the Volta Grande is necessary for forecasting future scenarios and defining biodiversity conservation strategies under the operation of Belo Monte dams. This paper describes the scientific questions of the project and the sampling surveys performed by an international team of Earth scientists and biologists during the dry seasons of 2013 and 2014. Preliminary results are presented and a future workshop is planned to integrate results, present data to the scientific community and discuss possibilities for deeper drilling in the Xingu ria to extend the sedimentary record of the Volta Grande do Xingu.

  19. Chemical Transport and Reduced-Form Models for Assessing Air Quality Impacts of Current and Future Energy Scenarios

    NASA Astrophysics Data System (ADS)

    Adams, P. J.

    2015-12-01

    Though essential for informed decision-making, it is challenging to estimate the air quality and public health impacts associated with current and future energy generation scenarios because the analysis must address the complicated atmospheric processes that air pollutants undergo: emissions, dispersion, chemistry, and removal. Employing a chemical transport model (CTM) is the most rigorous way to address these atmospheric processes. However, CTMs are expensive from a computational standpoint and, therefore, beyond the reach of policy analysis for many types of problems. On the other hand, previously available reduced-form models used for policy analysis fall short of the rigor of CTMs and may lead to biased results. To address this gap, we developed the Estimating Air pollution Social Impacts Using Regression (EASIUR) method, which builds parameterizations that predict per-tonne social costs and intake fractions for pollutants emitted from any location in the United States. Derived from a large database of tagged CTM simulations, the EASIUR method predicts social costs almost indistinguishable from a full CTM but with negligible computational requirements. We found that the average mortality-related social costs from inorganic PM2.5 and its precursors in the United States are 150,000-180,000/t EC, 21,000-34,000/t SO2, 4,200-15,000/t NOx, and 29,000-85,000/t NH3. This talk will demonstrate examples of using both CTMs and reduced-form models for assessing air quality impacts associated with current energy production activities as well as a future deployment of carbon capture and sequestration.

  20. Forecasting landscape effects of Mississippi River diversions on elevation and accretion in Louisiana deltaic wetlands under future environmental uncertainty scenarios

    USGS Publications Warehouse

    Wang, Hongqing; Steyer, Gregory D.; Couvillion, Brady R.; John M. Rybczyk; Beck, Holly J.; William J. Sleavin; Ehab A. Meselhe; Mead A. Allison; Ronald G. Boustany; Craig J. Fischenich; Victor H. Rivera-Monroy

    2014-01-01

    Large sediment diversions are proposed and expected to build new wetlands to alleviate the extensive wetland loss (5,000 km2) affecting coastal Louisiana during the last 78 years. Current assessment and prediction of the impacts of sediment diversions have focused on the capture and dispersal of both water and sediment on the adjacent river side and the immediate outfall marsh area. However, little is known about the effects of sediment diversions on existing wetland surface elevation and vertical accretion dynamics in the receiving basin at the landscape scale. In this study, we used a spatial wetland surface elevation model developed in support of Louisiana's 2012 Coastal Master Plan to examine such landscape-scale effects of sediment diversions. Multiple sediment diversion projects were incorporated in the model to simulate surface elevation and vertical accretion for the next 50 years (2010-2060) under two environmental (moderate and less optimistic) scenarios. Specifically, we examined landscape-scale surface elevation and vertical accretion trends under diversions with different geographical locations, diverted discharge rates, and geomorphic characteristics of the receiving basin. Model results indicate that small diversions (< 283 m3 s-1) tend to have limited effects of reducing landscape-scale elevation loss (< 3%) compared to a future without action (FWOA) condition. Large sediment diversions (> 1,500 m3 s-1) are required to achieve landscape-level benefits to promote surface elevation via vertical accretion to keep pace with rising sea level.

  1. Lethal effects of experimental warming approximating a future climate scenario on southern African quartz-field succulents: a pilot study.

    PubMed

    Musil, Charles F; Schmiedel, Ute; Midgley, Guy F

    2005-02-01

    Here we examine the response of succulents in a global biodiversity hot spot to experimental warming consistent with a future African climate scenario. Passive daytime warming (averaging 5.5 degrees C above ambient) of the natural vegetation was achieved with 18 transparent hexagonal open-top chamber arrays randomized in three different quartz-field communities. After 4-months summer treatment, the specialized-dwarf and shrubby succulents displayed between 2.1 and 4.9 times greater plant and canopy mortalities in the open-top chambers than in the control plots. Those surviving in cooler ventilated areas and shaded refuges in the chambers had lower starch concentrations and water contents; the shrubby succulents also exhibited diminished chlorophyll concentrations. It is concluded that current thermal regimes are likely to be closely proximate to tolerable extremes for many endemic succulents in the region, and that anthropogenic warming could significantly exceed their thermal thresholds. Further investigation is required to elucidate the importance of associated moisture deficits in these warming experiments, a potential consequence of supplementary (fog and dew) precipitation interception by open-top chambers and higher evaporation therein, on plant mortalities. PMID:15720664

  2. Transportation Energy Futures Series: Alternative Fuel Infrastructure Expansion: Costs, Resources, Production Capacity, and Retail Availability for Low-Carbon Scenarios

    SciTech Connect

    Melaina, M. W.; Heath, G.; Sandor, D.; Steward, D.; Vimmerstedt, L.; Warner, E.; Webster, K. W.

    2013-04-01

    Achieving the Department of Energy target of an 80% reduction in greenhouse gas emissions by 2050 depends on transportation-related strategies combining technology innovation, market adoption, and changes in consumer behavior. This study examines expanding low-carbon transportation fuel infrastructure to achieve deep GHG emissions reductions, with an emphasis on fuel production facilities and retail components serving light-duty vehicles. Three distinct low-carbon fuel supply scenarios are examined: Portfolio: Successful deployment of a range of advanced vehicle and fuel technologies; Combustion: Market dominance by hybridized internal combustion engine vehicles fueled by advanced biofuels and natural gas; Electrification: Market dominance by electric drive vehicles in the LDV sector, including battery electric, plug-in hybrid, and fuel cell vehicles, that are fueled by low-carbon electricity and hydrogen. A range of possible low-carbon fuel demand outcomes are explored in terms of the scale and scope of infrastructure expansion requirements and evaluated based on fuel costs, energy resource utilization, fuel production infrastructure expansion, and retail infrastructure expansion for LDVs. This is one of a series of reports produced as a result of the Transportation Energy Futures (TEF) project, a Department of Energy-sponsored multi-agency project initiated to pinpoint underexplored transportation-related strategies for abating GHGs and reducing petroleum dependence.

  3. Land-use impacts on water resources and protected areas: applications of state-and-transition simulation modeling of future scenarios

    NASA Astrophysics Data System (ADS)

    Wilson, T. S.; Sleeter, B. M.; Sherba, J.; Cameron, D.

    2014-12-01

    Human land use will increasingly contribute to habitat losses and water shortages in California, given future population projections and associated demand for agricultural land. Understanding how land-use change may impact future water use and where existing protected areas may be threatened by land-use conversion will be important if effective, sustainable management approaches are to be implemented. We used a state-and-transition simulation modeling (STSM) framework to simulate spatially-explicit (1 km2) historical (1992-2010) and future (2011-2060) land-use change for 52 California counties within the Mediterranean California ecoregion. Historical land use change estimates were derived from the Farmland Mapping and Monitoring Program (FMMP) dataset and attributed with county-level agricultural water-use data from the California Department of Water Resources (CDWR). Six future alternative land-use scenarios were developed and modeled using the historical land-use change estimates and land-use projections based on the Intergovernmental Panel on Climate Change's (IPCC) Special Report on Emission Scenarios (SRES) A2 and B1 scenarios. Resulting spatial land-use scenario outputs were combined based on scenario agreement and a land conversion threat index developed to evaluate vulnerability of existing protected areas. Modeled scenario output of county-level agricultural water use data were also summarized, enabling examination of alternative water use futures. We present results of two separate applications of STSM of land-use change, demonstrating the utility of STSM in analyzing land-use related impacts on water resources as well as potential threats to existing protected land. Exploring a range of alternative, yet plausible, land-use change impacts will help to better inform resource management and mitigation strategies.

  4. Study of the impact of cruise and passenger ships on a Mediterranean port city air quality - Study of future emission mitigation scenarios

    NASA Astrophysics Data System (ADS)

    Liora, Natalia; Poupkou, Anastasia; Kontos, Serafim; Giannaros, Christos; Melas, Dimitrios

    2015-04-01

    An increase of the passenger ships traffic is expected in the Mediterranean Sea as targeted by the EU Blue Growth initiative. This increase is expected to impact the Mediterranean port-cities air quality considering not only the conventional atmospheric pollutants but also the toxic ones that are emitted by the ships (e.g. Nickel). The aim of this study is the estimation of the present and future time pollutant emissions from cruise and passenger maritime transport in the port area of Thessaloniki (Greece) as well as the impact of those emissions on the city air quality. Cruise and passenger ship emissions have been estimated for the year 2013 over a 100m spatial resolution grid which covers the greater port area of Thessaloniki. Emissions have been estimated for the following macro-pollutants; NOx, SO2, NMVOC, CO, CO2 and particulate matter (PM). In addition, the most important micro-pollutants studied in this work are As, Cd, Pb, Ni and Benzo(a)pyrene for which air quality limits have been set by the EU. Emissions have been estimated for three operation modes; cruising, maneuvering and hotelling. For the calculation of the present time maritime emissions, the activity data used were provided by the Thessaloniki Port Authority S.A. Moreover, future pollutant emissions are estimated using the future activity data provided by the Port Authority and the IMO legislation for shipping in the future. In addition, two mitigation emission scenarios are examined; the use of Liquefied Natural Gas (LNG) as a fuel used by ships and the implementation of cold ironing which is the electrification of ships during hotelling mode leading to the elimination of the corresponding emissions. The impact of the present and future passenger ship emissions on the air quality of Thessaloniki is examined with the use of the model CALPUFF applied over the 100m spatial resolution grid using the meteorology of WRF. Simulations of the modeling system are performed for four different emission

  5. Land-use impacts on water resources and protected areas: applications of state-and-transition simulation modeling of future scenarios

    USGS Publications Warehouse

    Wilson, Tamara; Sleeter, Benjamin M.; Sherba, Jason T; Dick Cameron

    2015-01-01

    Human land use will increasingly contribute to habitat loss and water shortages in California, given future population projections and associated land-use demand. Understanding how land-use change may impact future water use and where existing protected areas may be threatened by land-use conversion will be important if effective, sustainable management approaches are to be implemented. We used a state-and-transition simulation modeling (STSM) framework to simulate spatially-explicit (1 km2) historical (1992-2010) and future (2011-2060) land-use change for 52 California counties within Mediterranean California ecoregions. Historical land use and land cover (LULC) change estimates were derived from the Farmland Mapping and Monitoring Program dataset and attributed with county-level agricultural water-use data from the California Department of Water Resources. Five future alternative land-use scenarios were developed and modeled using the historical land-use change estimates and land-use projections based on the Intergovernmental Panel on Climate Change's Special Report on Emission Scenarios A2 and B1 scenarios. Spatial land-use transition outputs across scenarios were combined to reveal scenario agreement and a land conversion threat index was developed to evaluate vulnerability of existing protected areas to proximal land conversion. By 2060, highest LULC conversion threats were projected to impact nearly 10,500 km2 of land area within 10 km of a protected area boundary and over 18,000 km2 of land area within essential habitat connectivity areas. Agricultural water use declined across all scenarios perpetuating historical drought-related land use from 2008-2010 and trends of annual cropland conversion into perennial woody crops. STSM is useful in analyzing land-use related impacts on water resource use as well as potential threats to existing protected land. Exploring a range of alternative, yet plausible, LULC change impacts will help to better inform resource

  6. Soil erosion and associated organic carbon transfer along the southern Amazon land use frontier - status quo and future scenarios

    NASA Astrophysics Data System (ADS)

    Schindewolf, Marcus; Herrmann, Anne-Kathrin; Herrmann, Marie-Kristin; Amorim, Ricardo S. S.; Schmidt, Jürgen

    2016-04-01

    The Southern Amazon deforestation arc is one of the world's most dynamically changing landscapes mainly caused by global demands on animal products. Already more than 50 % of the savanna vegetation in Mato Grosso is converted to agricultural land. Following the BR-163 highway to the north deforestation is continuing, where former tropical rainforest is converted to pastures. Consequences are expected to be negative and highly relevant concerning soil functions. Soil losses and related carbon transfer by water erosion are likely to occur on a larger scale. Within the Carbiocial project, the impact of land use changes on soil loss was measured by applying artificial rainfall simulations. Experimental results were used to parameterize the physical based EROSION 3D simulation model in two meso-scale watersheds. The impact of future land use and climate scenarios on soil erosion and particle bound organic carbon transfer were simulated in addition to present day effects. Our results allow different predictions: Land use changes from natural vegetation to pasture lead to increased surface runoffs and soil losses. Due to the predominant no-tillage management, croplands do not reveal a similar behaviour; runoff and sediment yields are close to the initial level. Particle bound organic carbon losses are negligible compared to the removal of biomass during deforestation. Compared to the land use change effect more significant differences appear concerning the predominant soil types of the study region. Deterioration of soil functions are less pronounced for Ferralsols with a stable microstructure than for Acrisols. Additionally, our data suggest, that the main soil losses are related to the narrow time windows of land use conversion. Consequently, intensifying production on existing agricultural land rather than creating new production area (deforestation) might be the most practical way of preserving soils of the Southern Amazon.

  7. Distributional potential of the Triatoma brasiliensis species complex at present and under scenarios of future climate conditions

    PubMed Central

    2014-01-01

    Background The Triatoma brasiliensis complex is a monophyletic group, comprising three species, one of which includes two subspecific taxa, distributed across 12 Brazilian states, in the caatinga and cerrado biomes. Members of the complex are diverse in terms of epidemiological importance, morphology, biology, ecology, and genetics. Triatoma b. brasiliensis is the most disease-relevant member of the complex in terms of epidemiology, extensive distribution, broad feeding preferences, broad ecological distribution, and high rates of infection with Trypanosoma cruzi; consequently, it is considered the principal vector of Chagas disease in northeastern Brazil. Methods We used ecological niche models to estimate potential distributions of all members of the complex, and evaluated the potential for suitable adjacent areas to be colonized; we also present first evaluations of potential for climate change-mediated distributional shifts. Models were developed using the GARP and Maxent algorithms. Results Models for three members of the complex (T. b. brasiliensis, N = 332; T. b. macromelasoma, N = 35; and T. juazeirensis, N = 78) had significant distributional predictivity; however, models for T. sherlocki and T. melanica, both with very small sample sizes (N = 7), did not yield predictions that performed better than random. Model projections onto future-climate scenarios indicated little broad-scale potential for change in the potential distribution of the complex through 2050. Conclusions This study suggests that T. b. brasiliensis is the member of the complex with the greatest distributional potential to colonize new areas: overall; however, the distribution of the complex appears relatively stable. These analyses offer key information to guide proactive monitoring and remediation activities to reduce risk of Chagas disease transmission. PMID:24886587

  8. Impacts of climate change on streamflows under RCP scenarios: A case study in Xin River Basin, China

    NASA Astrophysics Data System (ADS)

    Zhang, Yuqing; You, Qinglong; Chen, Changchun; Ge, Jing

    2016-09-01

    Researchers often examine hydro-climatological processes via Global Circulation Model (GCM) and hydrological model, which have been shown to benefit water resources management and prediction, especially at the basin scale. In this study, the Soil and Water Assessment Tool (SWAT) and Statistical Downscaling Method (SDSM) were integrated and applied to estimate streamflows in the Xin River Basin, China, based on climate change scenarios downscaled from different GCMs (BCC-CSM1.1, CanESM2, and NorESM1-M) under three Representative Concentration Pathways (RCPs). Results confirmed that the calibrated SWAT model accurately depicts hydrological processes features at daily, monthly, and yearly scales. Three GCMs based on the calibrated SDSM showed that temperature is continually increasing in the region, however, future precipitation is highly complex and uncertain; there were significant differences among various GCM RCP scenarios. The average of the precipitation in three models showed slight and steady increase trends under RCP2.6 and RCP4.5, but a significant increase under the RCP8.5 scenario. The ensemble average of streamflow in GCMs demonstrated that many RCPs significantly decrease from May to June but increase from August to September relative to the baseline period. The ensemble mean of the multi-GCM indicated that future streamflows under RCP2.6 and RCP4.5 scenarios will be closer to the current streamflow volume. Many RCPs also revealed a significant increase in monthly streamflow dispersion coefficient in October, reflecting a tendency for drought and flood events in that month. The BCC-CSM1.1 and NorESM1-M models showed that streamflows are higher than the baseline with median probability in the future. The low monthly streamflow (10th percentile) processes for each GCM were altogether similar to the baseline, whereas the high monthly streamflows (90th percentile) showed various levels of disparity compared to the baseline.

  9. Plant distributions in the southwestern United States; a scenario assessment of the modern-day and future distribution ranges of 166 Species

    USGS Publications Warehouse

    Thomas, Kathryn A.; Guertin, Patricia P.; Gass, Leila

    2012-01-01

    The authors developed spatial models of the predicted modern-day suitable habitat (SH) of 166 dominant and indicator plant species of the southwestern United States (herein referred to as the Southwest) and then conducted a coarse assessment of potential future changes in the distribution of their suitable habitat under three climate-change scenarios for two time periods. We used Maxent-based spatial modeling to predict the modern-day and future scenarios of SH for each species in an over 342-million-acre area encompassing all or parts of six states in the Southwest--Arizona, California, Colorado, Nevada, New Mexico, and Utah. Modern-day SH models were predicted by our using 26 annual and monthly average temperature and precipitation variables, averaged for the years 1971-2000. Future SH models were predicted for each species by our using six climate models based on application of the average of 16 General Circulation Models to Intergovernmental Panel on Climate Change emission scenarios B1, A1B, and A2 for two time periods, 2040 to 2069 and 2070 and 2100, referred to respectively as the 2050 and 2100 time periods. The assessment examined each species' vulnerability to loss of modern-day SH under future climate scenarios, potential to gain SH under future climate scenarios, and each species' estimated risk as a function of both vulnerability and potential gains. All 166 species were predicted to lose modern-day SH in the future climate change scenarios. In the 2050 time period, nearly 30 percent of the species lost 75 percent or more of their modern-day suitable habitat, 21 species gained more new SH than their modern-day SH, and 30 species gained less new SH than 25 percent of their modern-day SH. In the 2100 time period, nearly half of the species lost 75 percent or more of their modern-day SH, 28 species gained more new SH than their modern-day SH, and 34 gained less new SH than 25 percent of their modern-day SH. Using nine risk categories we found only two

  10. Widespread Dieback of Forests in North America under Rapid Global Warming: Response to the VINCERA Future Climate Scenarios Simulated by the MC1 DGVM

    NASA Astrophysics Data System (ADS)

    Lenihan, J.; Neilson, R.; Bachelet, D.; Drapek, R.

    2005-12-01

    The VINCERA project is an intercomparison among three dynamic general vegetation models (DGVMs) simulating the response of North American ecosystems to six new future climate scenarios. The scenarios were produced by three general circulation models, each using two different future trace gas emissions scenarios. All of the scenarios are near the warmer end of the Intergovernmental Panel on Climate Change's projected future temperature range. Here we present results from the MC1 DGVM. All major forested ecosystems in North America exhibit carbon sequestration until the late 20th or early 21st century, followed by a drought induced decline and loss of carbon to levels below those at 1900 in the absence of fire suppression. By the end of the 21st century, the entire continent will have lost from 10 to 30 Pg of carbon, depending on the scenario. However, fire suppression can significantly mitigate carbon losses and ecosystem declines, producing a net change in carbon from a loss of about 5 Pg to a gain of about 8 Pg under the different scenarios. Most of the suppression benefits are obtained by forests in the western U.S. Suppression also mitigates carbon losses and conversions to savanna or grassland in the eastern U.S., but forest decline still occurs in the east under all scenarios. Dieback is triggered by two mechanisms. Reduced regional precipitation, variable among the scenarios, is one. The second more pervasive mechanism is the influence of rising temperatures on evapotranspiration. Even with the benefits of enhanced water use efficiency from elevated CO2 and slight increases in precipitation, dramatic increases in temperature can produce widespread forest dieback, and increases in fire severity. The eastern United States appear to be particularly vulnerable, as does the central Canadian boreal forest because of the relative flatness of climate gradients near ecotones. Under some scenarios, dieback is also driven by both increasing temperatures and decreasing

  11. Assessment of vulnerability to future marine processes of urbanized coastal environments by a GIS-based approach: expected scenario in the metropolitan area of Bari (Italy)

    NASA Astrophysics Data System (ADS)

    Mancini, F.; Ceppi, C.; Christopulos, V.

    2013-12-01

    Literature concerning the risk assessment procedures after extreme meteorological events is generally focused on the establishing of relationship between actual severe weather conditions and impact detected over the involved zones. Such an events are classified on the basis of measurements and observation able to assess the magnitude of phenomena or on the basis of related effects on the affected area, the latter being deeply connected with the overall physical vulnerability. However such assessment almost never do consider scenario about expected extreme event and possible pattern of urbanization at the time of impact and nor the spatial and temporal uncertainty of phenomena are taken into account. The drawn of future scenario about coastal vulnerability to marine processes is therefore difficult. This work focuses the study case of the Metropoli Terra di Bari (metropolitan area of Bari, Apulia, Italy) where a coastal vulnerability analysis due to climate changes expected on the basis of expert opinions coming from the scientific community was carried out. Several possible impacts on the coastal environments were considered, in particular sea level rise inundation, flooding due to storm surge and coastal erosion. For such a purpose the methodology base on SRES (Special Report on Emission Scenario) produced by the IPCC (Intergovernmental Panel on Climate Change) was adopted after a regionalization procedure as carried out by Verburgh and others (2006) at the European scale. The open source software SLEUTH, base on the cellular automate principle, was used and the reliability of obtained scenario verified through the Monte Carlo method. Once these scenario were produced, a GIS-based multicriteria methodology was implemented to evaluate the vulnerability of the urbanized coastal area of interest. Several vulnerability maps related are therefore available for different scenario able to consider the degree of hazards and potential development of the typology and extent

  12. The effects of future nationwide forest transition to discharge in the 21st century with regard to general circulation model climate change scenarios.

    PubMed

    Mouri, Goro; Nakano, Katsuhiro; Tsuyama, Ikutaro; Tanaka, Nobuyuki

    2016-08-01

    Forest disturbance (or land-cover change) and climatic variability are commonly recognised as two major drivers interactively influencing hydrology in forested watersheds. Future climate changes and corresponding changes in forest type and distribution are expected to generate changes in rainfall runoff that pose a threat to river catchments. It is therefore important to understand how future climate changes will effect average rainfall distribution and temperature and what effect this will have upon forest types across Japan. Recent deforestation of the present-day coniferous forest and expected increases in evergreen forest are shown to influence runoff processes and, therefore, to influence future runoff conditions. We strongly recommend that variations in forest type be considered in future plans to ameliorate projected climate changes. This will help to improve water retention and storage capacities, enhance the flood protection function of forests, and improve human health. We qualitatively assessed future changes in runoff including the effects of variation in forest type across Japan. Four general circulation models (GCMs) were selected from the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble to provide the driving fields: the Model for Interdisciplinary Research on Climate (MIROC), the Meteorological Research Institute Atmospheric General Circulation Model (MRI-GCM), the Hadley Centre Global Environment Model (HadGEM), and the Geophysical Fluid Dynamics Laboratory (GFDL) climate model. The simulations consisted of an ensemble including multiple physics configurations and different reference concentration pathways (RCP2.6, 4.5, and 8.5), the results of which have produced monthly data sets for the whole of Japan. The impacts of future climate changes on forest type in Japan are based on the balance amongst changes in rainfall distribution, temperature and hydrological factors. Methods for assessing the impact of such changes include the

  13. Projecting the environmental profile of Singapore's landfill activities: Comparisons of present and future scenarios based on LCA.

    PubMed

    Khoo, Hsien H; Tan, Lester L Z; Tan, Reginald B H

    2012-05-01

    This article aims to generate the environmental profile of Singapore's Semakau landfill by comparing three different operational options associated with the life cycle stages of landfilling activities, against a 'business as usual' scenario. Before life cycle assessment or LCA is used to quantify the potential impacts from landfilling activities, an attempt to incorporate localized and empirical information into the amounts of ash and MSW sent to the landfill was made. A linear regression representation of the relationship between the mass of waste disposed and the mass of incineration ash generated was modeled from waste statistics between years 2004 and 2009. Next, the mass of individual MSW components was projected from 2010 to 2030. The LCA results highlighted that in a 'business as usual' scenario the normalized total impacts of global warming, acidification and human toxicity increased by about 2% annually from 2011 to 2030. By replacing the 8000-tonne barge with a 10000-tonne coastal bulk carrier or freighter (in scenario 2) a grand total reduction of 48% of both global warming potential and acidification can be realized by year 2030. Scenario 3 explored the importance of having a Waste Water Treatment Plant in place to reduce human toxicity levels - however, the overall long-term benefits were not as significant as scenario 2. It is shown in scenario 4 that the option of increased recycling championed over all other three scenarios in the long run, resulting in a total 58% reduction in year 2030 for the total normalized results. A separate comparison of scenarios 1-4 is also carried out for energy utilization and land use in terms of volume of waste occupied. Along with the predicted reductions in environmental burdens, an additional bonus is found in the expanded lifespan of Semakau landfill from year 2032 (base case) to year 2039. Model limitations and suggestions for improvements were also discussed. PMID:22257698

  14. Thermofluidodynamic modelling of the Adamello Glacier in a future climate scenario. Will the largest Italian glacier disappear by 2080?

    NASA Astrophysics Data System (ADS)

    Ranzi, Roberto; Svanera, Eros; Baroni, Carlo; Barontini, Stefano; Caronna, Paolo; Grossi, Giovanna; Salvatore, Maria Cristina

    2016-04-01

    A thermofluidodynamic model was applied to the study case of the Adamello glacier (17,24 km2, after ASTER 2003 data), located in the Central Alps. The dynamic of the glacier was first simulated in the current climate conditions (1996-2007) and then using future climate projection resulting from the PCM A1b scenarios. Using the finite element code Elmer the dynamic equations were solved for the velocity field and the free surface elevation. The glacier was modelled with a 3D mesh composed by 28050 nodes and subdivided into 10 vertical layers. Elevation of the free surface and bedrock recorded in 1991 and in 1996 were used as boundary and initial conditions. For each simulated year a top surface temperature of -7.5 °C was considered for the winter semester in the ablation season the glacier's temperature was set to 0°C. During melting a fixed bottom velocity was applied to simulate the slip behaviour. As a Neumann boundary condition on the glacier's top surface the seasonal mass balance estimated from the energy-balance over the 1995-2009 period was assumed, with a mean value of -1.4 m/a. The reliability of the energy balance was verified with point measurement at ablation stakes over two ablation seasons, with runoff data and remote sensing. The maximum simulated surface velocities of the order of 100 m/a, a value consistent with observations of speed of some ablation stakes. In order to assess the validity of the results, the change in the thickness of the glacier observed between 1998 and 2007 (DEM difference) was compared to the simulated change in the free surface elevation. Another useful application of the modeling result is the identification of the ice divide of 5 glaciological units in the Sarca and Oglio subbasins, separated from a hydrological point of view, which is not a trivial task to be performed in the field. Another verification is done comparing the simulated glacier's extent in the year 2015 starting from 1996 initial conditions. The simulation

  15. The extreme drought episode of August 2011-May 2012: A scenario for future droughts in Central Europe?

    NASA Astrophysics Data System (ADS)

    Zahradníček, P.; Trnka, M.; Brázdil, R.; Mozny, M.; Stepanek, P.; Hlavinka, P.; Malý, A.; Dubrovsky, M.

    2014-12-01

    The weather conditions from August 2011 to May 2012 produced an extreme drought in the eastern Czech Republic (Moravia), whereas the patterns were nearly normal in its western region (Bohemia). The Southern and Central Moravia regions, which represent the most important agricultural areas, were most affected by the drought. The precipitation totals for the studied period were 50% to 70% of the long-term mean, which was calculated for 1961-2000. In autumn 2011, the total precipitation accounted for 10% to 30% of the long-term mean for most of Moravia, increasing to 30% to 50% in spring 2012. Moreover, 7.5% of the Czech Republic experienced a 100-year drought; 20% of the country experienced a 20-year drought. According to the Palmer Drought Severity Index, the 2012 drought was classified as the worst in the past 130 years. The drought patterns were related to the prevailing high-pressure systems over Central Europe and the occurrence of weather types with different precipitation amounts in Bohemia and Moravia. The most substantial drought effects occurred in the agricultural sector. A decrease in cereal yields was observed in the analyzed production areas in Moravia, which was unprecedented in the past 52 years. Moreover, winter crops were affected more than spring crops. An increased risk of fire occurred due to the drought conditions; the largest forest fire in the past 15 years was recorded during this period. Furthermore, signs of hydrological drought were also reported in rivers. The 2011-2012 drought was compared with the significant droughts in 2000, 2003 and 2007. Austria and Slovakia, which neighbor the Czech Republic, experienced a similar drought. This drought analysis can be used as a scenario for future droughts and their impacts in Central Europe due to the global warming projected by GCMs.Acknowledgements:This study was made possible by the generous support of the "Establishment of International Scientific Team Focused on Drought Research" project (no

  16. Hazard Assessment for POPOCATÉPETL Volcano Using Hasset: a Probability Event Tree Tool to Evaluate Future Eruptive Scenarios

    NASA Astrophysics Data System (ADS)

    Ferrés, D.; Reyes Pimentel, T. A.; Espinasa-Pereña, R.; Nieto, A.; Sobradelo, R.; Flores, X.; González Huesca, A. E.; Ramirez, A.

    2013-05-01

    -eruptive crisis of April-May 2012, in order to identify the most probable processes in which this unrest could have developed and to contribute to the diagnosis task. In this research, we propose a comparison between the processes identified in this preliminary volcanic event tree and another elaborated using a Hazard Assessment Event Tree probability tool (HASSET), built on a bayesian event tree structure, using mainly the information of the known eruptive history of Popocatépetl. The HASSET method is based on Bayesian Inference and is used to assess volcanic hazard of future eruptive scenarios, by evaluating the most relevant sources of uncertainty that play a role in estimating the future probability of occurrence of a specific volcanic event. The final goal is to find the most useful tools to make the diagnosis and prognosis of the Popocatépetl volcanic activity, integrating the known eruptive history of the volcano, the experience of the scientific committee and the information provided by the monitoring systems, in an interactive and user-friendly way.

  17. MOS correction of GCM- and RCM-simulated daily precipitation

    NASA Astrophysics Data System (ADS)

    Eden, Jonathan; Widmann, Martin; Wong, Geraldine; Maraun, Douglas; Vrac, Mathieu; Kent, Thomas

    2013-04-01

    Understanding long-term changes in daily precipitation characteristics, particularly those associated with extreme events, is an important component of climate change science and impact assessment. Estimates of such changes are required at local scales where impacts are most keenly felt. However, the limited spatial resolution of General Circulation Models (GCMs) makes direct estimates of future daily precipitation unrealistic. A popular downscaling approach is to use GCMs to drive high-resolution Regional Climate Models (RCMs). Whilst able to simulate precipitation characteristics at smaller scales, RCMs do not represent local variables and remain limited by systematic errors and biases. It is possible to apply statistical corrections, known as Model Output Statistics (MOS), to RCM-simulated precipitation. The simplest form of MOS (including bias correction) follows a 'distribution-wise' approach in which the statistical link is derived between long-term distributions of simulated and observed variables. However, more sophisticated MOS methods may be performed 'event-wise' using, for example, multiple linear regression to derive links between simulated and observed sequences of day-to-day weather. This approach requires a fitting period in which the simulated temporal evolution of large-scale weather states matches that of the real world and is thus limited to either reanalysis-driven RCMs or nudged GCM simulations. It is unclear to what extent MOS can be used to correct daily precipitation directly from GCMs, thus removing the computationally challenging RCM step from the downscaling process. Here, we present and cross-validate a stochastic, event-wise MOS method for both GCM- and RCM-simulated precipitation. A 'mixture' model, combining gamma and generalised Pareto distributions, is used to represent the complete (extreme and non-extreme) precipitation distribution. This is combined with a vector generalised linear model (VGLM) in order to estimate the

  18. Sea-level rise and impacts projections under a future scenario with large greenhouse gas emission reductions

    NASA Astrophysics Data System (ADS)

    Pardaens, A. K.; Lowe, J. A.; Brown, S.; Nicholls, R. J.; de Gusmão, D.

    2011-06-01

    Using projections from two coupled climate models (HadCM3C and HadGEM2-AO), we consider the effect on 21st century sea-level rise (SLR) of mitigation policies relative to a scenario of business-as-usual (BAU). Around a third of the global-mean SLR over the century is avoided by a mitigation scenario under which global-mean near surface air temperature stabilises close to the Copenhagen Accord limit of a 2°C increase. Under BAU (a variant of the A1B scenario) the model-averaged projected SLR for 2090-2099 relative to 1980-1999 is 0.29 m-0.51 m (5%-95% uncertainties from treatment of land-based ice melt); under mitigation (E1 scenario) it is 0.17 m-0.34 m. This reduction is primarily from reduced thermal expansion. The spatial patterns of regional SLR are fairly dissimilar between the models, but are qualitatively similar across scenarios for a particular model. An impacts model suggests that by the end of the 21st century and without upgrade in defences around 55% of the 84 million additional people flooded per year globally under BAU (from SLR alone) could be avoided under such mitigation. The above projections of SLR follow the methodology of the IPCC Fourth Assessment. We have, however, also conducted a sensitivity study of SLR and its impacts where the possibility of accelerated ice sheet dynamics is accounted for.

  19. Assimilation of MGS Data Into a Coupled GCM-Mesoscale Model of the Martian Atmosphere

    NASA Technical Reports Server (NTRS)

    Rafkin, Scot C. R.; Haberle, Robert (Technical Monitor)

    2001-01-01

    The project sought to develop a coupled GCM-mesoscale model and to assimilate Mars Global Surveyor (MGS) data into the coupled model. To achieve the project goals, four specific research activities were proposed. These activities are reiterated for completeness and the progress in each of the activities is noted in future sections of this report.

  20. Dynamic modeling of forest conversion: Simulation of past and future scenarios of rural activities expansion in the fringes of the Xingu National Park, Brazilian Amazon

    NASA Astrophysics Data System (ADS)

    Maeda, Eduardo E.; de Almeida, Cláudia Maria; de Carvalho Ximenes, Arimatéa; Formaggio, Antonio R.; Shimabukuro, Yosio E.; Pellikka, Petri

    2011-06-01

    The present work is committed to simulate the expansion of agricultural and cattle raising activities within a watershed located in the fringes of the Xingu National Park, Brazilian Amazon. A spatially explicit dynamic model of land cover and land use change was used to provide both past and future scenarios of forest conversion into such rural activities, aiming to identify the role of driving forces of change in the study area. The employed modeling platform - Dinamica EGO - consists in a cellular automata environment that embodies neighborhood-based transition algorithms and spatial feedback approaches in a stochastic multi-step simulation framework. Biophysical variables and legal restrictions drove this simulation model, and statistical validation tests were then conducted for the generated past simulations (from 2000 to 2005), by means of multiple resolution fitting methods. Based on optimal calibration of past simulations, future scenarios were conceived, so as to figure out trends and spatial patterns of forest conversion in the study area for the year 2015. In all simulated scenarios, pasturelands remained nearly stable throughout the analyzed period, while a large expansion in croplands took place. The most optimistic scenario indicates that more than 50% of the natural forest will be replaced by either cropland or pastureland by 2015. This modeling experiment revealed the suitability of the adopted model to simulate processes of forest conversion. It also indicates its possible further applicability in generating simulations of deforestation for areas with expanding rural activities in the Amazon and in tropical forests worldwide.

  1. Incremental dynamical downscaling for probabilistic analysis based on multiple GCM projections

    NASA Astrophysics Data System (ADS)

    Wakazuki, Y.; Rasmussen, R.

    2015-12-01

    A dynamical downscaling method for probabilistic regional-scale climate change projections was developed to cover the inherent uncertainty associated with multiple general circulation model (GCM) climate simulations. The climatological increments estimated by GCM results were statistically analyzed using the singular vector decomposition. Both positive and negative perturbations from the ensemble mean with the magnitudes of their standard deviations were extracted and added to the ensemble mean of the climatological increments. The analyzed multiple modal increments were utilized to create multiple modal lateral boundary conditions for the future climate regional climate model (RCM) simulations by adding them to reanalysis data. The incremental handling of GCM simulations realized approximated probabilistic climate change projections with the smaller number of RCM simulations. For the probabilistic analysis, three values of a climatological variable simulated by RCMs for a mode were analyzed under an assumption of linear response to the multiple modal perturbations.

  2. Spatial disaggregation of bias-corrected GCM precipitation for improved hydrologic simulation: Ping River Basin, Thailand

    NASA Astrophysics Data System (ADS)

    Sharma, D.; Das Gupta, A.; Babel, M. S.

    2007-01-01

    Global Climate Models (GCMs) precipitation scenarios are often characterized by biases and coarse resolution that limit their direct application for basin level hydrological modeling. Bias-correction and spatial disaggregation methods are employed to improve the quality of ECHAM4/OPYC SRES A2 and B2 precipitation for the Ping River Basin in Thailand. Bias-correction method, based on gamma-gamma transformation, is applied to improve the frequency and amount of raw GCM precipitation at the grid nodes. Spatial disaggregation model parameters (β,σ2), based on multiplicative random cascade theory, are estimated using Mandelbrot-Kahane-Peyriere (MKP) function at q=1 for each month. Bias-correction method exhibits ability of reducing biases from the frequency and amount when compared with the computed frequency and amount at grid nodes based on spatially interpolated observed rainfall data. Spatial disaggregation model satisfactorily reproduces the observed trend and variation of average rainfall amount except during heavy rainfall events with certain degree of spatial and temporal variations. Finally, the hydrologic model, HEC-HMS, is applied to simulate the observed runoff for upper Ping River Basin based on the modified GCM precipitation scenarios and the raw GCM precipitation. Precipitation scenario developed with bias-correction and disaggregation provides an improved reproduction of basin level runoff observations.

  3. Spatial disaggregation of bias-corrected GCM precipitation for improved hydrologic simulation: Ping River Basin, Thailand

    NASA Astrophysics Data System (ADS)

    Sharma, D.; Das Gupta, A.; Babel, M. S.

    2007-06-01

    Global Climate Models (GCMs) precipitation scenarios are often characterized by biases and coarse resolution that limit their direct application for basin level hydrological modeling. Bias-correction and spatial disaggregation methods are employed to improve the quality of ECHAM4/OPYC SRES A2 and B2 precipitation for the Ping River Basin in Thailand. Bias-correction method, based on gamma-gamma transformation, is applied to improve the frequency and amount of raw GCM precipitation at the grid nodes. Spatial disaggregation model parameters (β,σ2), based on multiplicative random cascade theory, are estimated using Mandelbrot-Kahane-Peyriere (MKP) function at q=1 for each month. Bias-correction method exhibits ability of reducing biases from the frequency and amount when compared with the computed frequency and amount at grid nodes based on spatially interpolated observed rainfall data. Spatial disaggregation model satisfactorily reproduces the observed trend and variation of average rainfall amount except during heavy rainfall events with certain degree of spatial and temporal variations. Finally, the hydrologic model, HEC-HMS, is applied to simulate the observed runoff for upper Ping River Basin based on the modified GCM precipitation scenarios and the raw GCM precipitation. Precipitation scenario developed with bias-correction and disaggregation provides an improved reproduction of basin level runoff observations.

  4. Design Support of an Above Cap-rock Early Detection Monitoring System using Simulated Leakage Scenarios at the FutureGen2.0 Site

    SciTech Connect

    Williams, Mark D.; USA, Richland Washington; Vermuel, Vince R.; USA, Richland Washington; Oostrom, Mart; USA, Richland Washington; Porse, Sean L.; USA, Richland Washington; Thorne, Paul D.; USA, Richland Washington; Szecsody, Jim E.; USA, Richland Washington; Horner, Jake A.; USA, Richland Washington; Gilmore, Tyler J.; USA, Richland Washington

    2014-12-31

    The FutureGen 2.0 Project will design and build a first-of-its-kind, near-zero emissions coal-fueled power plant with carbon capture and storage (CCS). To assess storage site performance and meet the regulatory requirements of the Class VI Underground Injection Control (UIC) Program for CO2 Geologic Sequestration, the FutureGen 2.0 project will implement a suite of monitoring technologies designed to evaluate CO2 mass balance and detect any unforeseen loss in CO2 containment. The monitoring program will include direct monitoring of the reservoir, and early-leak-detection monitoring directly above the primary confining zone. This preliminary modeling study described here focuses on hypothetical leakage scenarios into the first permeable unit above the primary confining zone (Ironton Sandstone) and is used to support assessment of early-leak detection capabilities. Future updates of the model will be used to assess potential impacts on the lowermost underground source of drinking water (Saint Peter Sandstone) for a range of theoretical leakage scenarios. This preliminary modeling evaluation considers both pressure response and geochemical signals in the overlying Ironton Sandstone. This model is independent of the FutureGen 2.0 reservoir model in that it does not simulate caprock discontinuities, faults, or failure scenarios. Instead this modeling effort is based on theoretical, volumetric-rate based leakage scenarios. The scenarios include leakage of 1% of the total injected CO2 mass, but spread out over different time periods (20, 100, and 500 years) with each case yielding a different mass flux (i.e., smaller mass fluxes for longer duration leakage cases]. A brine leakage scenario using a volumetric leakage similar to the 20 year 1% CO2 case was also considered. A framework for the comparison of the various cases was developed based on the exceedance of selected pressure and geochemical thresholds at different

  5. Design Support of an Above Cap-rock Early Detection Monitoring System using Simulated Leakage Scenarios at the FutureGen2.0 Site

    DOE PAGESBeta

    Williams, Mark D.; USA, Richland Washington; Vermuel, Vince R.; USA, Richland Washington; Oostrom, Mart; USA, Richland Washington; Porse, Sean L.; USA, Richland Washington; Thorne, Paul D.; USA, Richland Washington; et al

    2014-12-31

    The FutureGen 2.0 Project will design and build a first-of-its-kind, near-zero emissions coal-fueled power plant with carbon capture and storage (CCS). To assess storage site performance and meet the regulatory requirements of the Class VI Underground Injection Control (UIC) Program for CO2 Geologic Sequestration, the FutureGen 2.0 project will implement a suite of monitoring technologies designed to evaluate CO2 mass balance and detect any unforeseen loss in CO2 containment. The monitoring program will include direct monitoring of the reservoir, and early-leak-detection monitoring directly above the primary confining zone. This preliminary modeling study described here focuses on hypothetical leakage scenarios intomore » the first permeable unit above the primary confining zone (Ironton Sandstone) and is used to support assessment of early-leak detection capabilities. Future updates of the model will be used to assess potential impacts on the lowermost underground source of drinking water (Saint Peter Sandstone) for a range of theoretical leakage scenarios. This preliminary modeling evaluation considers both pressure response and geochemical signals in the overlying Ironton Sandstone. This model is independent of the FutureGen 2.0 reservoir model in that it does not simulate caprock discontinuities, faults, or failure scenarios. Instead this modeling effort is based on theoretical, volumetric-rate based leakage scenarios. The scenarios include leakage of 1% of the total injected CO2 mass, but spread out over different time periods (20, 100, and 500 years) with each case yielding a different mass flux (i.e., smaller mass fluxes for longer duration leakage cases]. A brine leakage scenario using a volumetric leakage similar to the 20 year 1% CO2 case was also considered. A framework for the comparison of the various cases was developed based on the exceedance of selected pressure and geochemical thresholds at different distances from the point of leakage and at

  6. Simulating post-wildfire forest trajectories under alternative climate and management scenarios

    NASA Astrophysics Data System (ADS)

    Azpeleta, Alicia; Fule, Peter; Shive, Kristen; Sieg, Carolyn; Sanchez-Meador, Andrew; Strom, Barbara

    2013-04-01

    To assess post-fire vegetation recovery under the influence of climate change, we applied the Climate-Forest Vegetation Simulator (Climate-FVS), a new version of a widely used forest management model, to compare alternative climate and management scenarios in a severely burned multi-species forest of Arizona, U.S.A. The incorporation of seven combinations of General Circulation Models (GCM) and emissions scenarios altered long-term (100 years) projections of future forest condition compared to a No Climate Change (NCC) scenario, which forecast a gradual increase to high levels of forest density and carbon storage. In contrast, emissions scenarios that included continued high greenhouse gas releases led to near-complete deforestation by 2111. GCM-emissions scenario combinations that were less severe reduced forest structure and carbon storage relative to NCC. Fuel reduction treatments that had been applied prior to the severe wildfire did have persistent effects, especially under NCC, but were overwhelmed by increasingly severe climate change. We tested six management strategies aimed at sustaining future forests: prescribed burning at 5, 10, or 20-year intervals, thinning 40% or 60% of stand basal area, and no-treatment. Severe climate change led to deforestation under all management regimes, but important differences emerged under the moderate scenarios: treatments that included regular prescribed burning fostered low density, wildfire-resistant forests composed of the naturally dominant species, ponderosa pine. Non-fire treatments under moderate climate change were forecast to become dense and susceptible to severe wildfire, with a shift to dominance by sprouting species. Current U.S.A. management requires modeling of future scenarios but does not mandate consideration of climate change effects. However, this study showed substantial differences in model outputs depending on climate and management actions. Managers should incorporate climate change into the

  7. Hydropower and water supply: competing water uses under a future drier climate modeling scenarios for the Tagus River basin, Portugal

    NASA Astrophysics Data System (ADS)

    Alexandre Diogo, Paulo; Nunes, João Pedro; Carmona Rodrigues, António; João Cruz, Maria; Grosso, Nuno

    2014-05-01

    Climate change in the Mediterranean region is expected to affect existing water resources, both in quantity and quality, as decreased mean annual precipitation and more frequent extreme precipitation events are likely to occur. Also, energy needs tend to increase, together with growing awareness that fossil fuels emissions are determinately responsible for global temperature rise, enhancing renewable energy use and reinforcing the importance of hydropower. When considered together, these facts represent a relevant threat to multipurpose reservoir operations. Great Lisbon main water supply (for c.a. 3 million people), managed by EPAL, is located in Castelo de Bode Reservoir, in the Tagus River affluent designated as Zêzere River. Castelo de Bode is a multipurpose infrastructure as it is also part of the hydropower network system of EDP, the main power company in Portugal. Facing the risk of potential climate change impacts on water resources availability, and as part of a wider project promoted by EPAL (designated as ADAPTACLIMA), climate change impacts on the Zêzere watershed where evaluated based on climate change scenarios for the XXI century. A sequential modeling approach was used and included downscaling climate data methodologies, hydrological modeling, volume reservoir simulations and water quality modeling. The hydrological model SWAT was used to predict the impacts of the A2 and B2 scenarios in 2010-2100, combined with changes in socio-economic drivers such as land use and water demands. Reservoir storage simulations where performed according to hydrological modeling results, water supply needs and dam operational requirements, such as minimum and maximum operational pool levels and turbine capacity. The Ce-Qual-W2 water quality model was used to assess water quality impacts. According to climate scenarios A2 and B2, rainfall decreases between 10 and 18% are expected by 2100, leading to drier climatic conditions and increased frequency and magnitude of

  8. GATA3 inhibits GCM1 activity and trophoblast cell invasion.

    PubMed

    Chiu, Yueh Ho; Chen, Hungwen

    2016-01-01

    Development of human placenta involves the invasion of trophoblast cells from anchoring villi into the maternal decidua. Placental transcription factor GCM1 regulates trophoblast cell invasion via transcriptional activation of HtrA4 gene, which encodes a serine protease enzyme. The GATA3 transcription factor regulates trophoblast cell differentiation and is highly expressed in invasive murine trophoblast giant cells. The regulation of trophoblastic invasion by GCM1 may involve novel cellular factors. Here we show that GATA3 interacts with GCM1 and inhibits its activity to suppress trophoblastic invasion. Immunohistochemistry demonstrates that GATA3 and GCM1 are coexpressed in villous cytotrophoblast cells, syncytiotrophoblast layer, and extravillous trophoblast cells of human placenta. Interestingly, GATA3 interacts with GCM1, but not the GCM2 homologue, through the DNA-binding domain and first transcriptional activation domain in GCM1 and the transcriptional activation domains and zinc finger 1 domain in GATA3. While GATA3 did not affect DNA-binding activity of GCM1, it suppressed transcriptional activity of GCM1 and therefore HtrA4 promoter activity. Correspondingly, GATA3 knockdown elevated HtrA4 expression in BeWo and JEG-3 trophoblast cell lines and enhanced the invasion activities of both lines. This study uncovered a new GATA3 function in placenta as a negative regulator of GCM1 activity and trophoblastic invasion. PMID:26899996

  9. GATA3 inhibits GCM1 activity and trophoblast cell invasion

    PubMed Central

    Chiu, Yueh Ho; Chen, Hungwen

    2016-01-01

    Development of human placenta involves the invasion of trophoblast cells from anchoring villi into the maternal decidua. Placental transcription factor GCM1 regulates trophoblast cell invasion via transcriptional activation of HtrA4 gene, which encodes a serine protease enzyme. The GATA3 transcription factor regulates trophoblast cell differentiation and is highly expressed in invasive murine trophoblast giant cells. The regulation of trophoblastic invasion by GCM1 may involve novel cellular factors. Here we show that GATA3 interacts with GCM1 and inhibits its activity to suppress trophoblastic invasion. Immunohistochemistry demonstrates that GATA3 and GCM1 are coexpressed in villous cytotrophoblast cells, syncytiotrophoblast layer, and extravillous trophoblast cells of human placenta. Interestingly, GATA3 interacts with GCM1, but not the GCM2 homologue, through the DNA-binding domain and first transcriptional activation domain in GCM1 and the transcriptional activation domains and zinc finger 1 domain in GATA3. While GATA3 did not affect DNA-binding activity of GCM1, it suppressed transcriptional activity of GCM1 and therefore HtrA4 promoter activity. Correspondingly, GATA3 knockdown elevated HtrA4 expression in BeWo and JEG-3 trophoblast cell lines and enhanced the invasion activities of both lines. This study uncovered a new GATA3 function in placenta as a negative regulator of GCM1 activity and trophoblastic invasion. PMID:26899996

  10. Innovation in Technology-Enhanced Assessment in the UK and the USA: Future Scenarios and Critical Considerations

    ERIC Educational Resources Information Center

    Perrotta, Carlo

    2014-01-01

    This paper uses methods derived from the field of futures studies to explore the future of technology-enhanced assessment. Drawing on interviews and consultation activities with experts, the paper aims to discuss the conditions that can impede or foster "innovation" in assessment and education more broadly. Through a review of relevant…

  11. Assessing Hydrologic Impacts of Future Land Cover Change Scenarios in the South Platte River Basin (CO, WY, & NE)

    EPA Science Inventory

    Long-term land-use and land cover change and their associated impacts pose critical challenges to sustaining vital hydrological ecosystem services for future generations. In this study, a methodology was developed to characterize hydrologic impacts from future urban growth throug...

  12. Assessing Hydrologic Impacts of Future Land Cover Change Scenarios in the San Pedro River (U.S./Mexico)

    EPA Science Inventory

    Long-term land-use and land cover change and their associated impacts pose critical challenges to sustaining vital hydrological ecosystem services for future generations. In this study, a methodology was developed to characterize hydrologic impacts from future urban growth throug...

  13. Public Review Draft: A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios

    USGS Publications Warehouse

    Bergamaschi, Brian A.; Bernknopf, Richard; Clow, David; Dye, Dennis; Faulkner, Stephen; Forney, William; Gleason, Robert; Hawbaker, Todd; Liu, Jinxun; Liu, Shu-Guang; Prisley, Stephen; Reed, Bradley; Reeves, Matthew; Rollins, Matthew; Sleeter, Benjamin; Sohl, Terry; Stackpoole, Sarah; Stehman, Stephen; Striegl, Rob; Wein, Anne; Zhu, Zhi-Liang

    2010-01-01

    The Energy Independence and Security Act of 2007 (EISA), Section 712, authorizes the U.S. Department of the Interior to develop a methodology and conduct an assessment of the Nation's ecosystems focusing on carbon stocks, carbon sequestration, and emissions of three greenhouse gases (GHGs): carbon dioxide, methane, and nitrous oxide. The major requirements include (1) an assessment of all ecosystems (terrestrial systems, such as forests, croplands, wetlands, shrub and grasslands; and aquatic ecosystems, such as rivers, lakes, and estuaries), (2) an estimation of annual potential capacities of ecosystems to increase carbon sequestration and reduce net GHG emissions in the context of mitigation strategies (including management and restoration activities), and (3) an evaluation of the effects of controlling processes, such as climate change, land use and land cover, and wildlfires. The purpose of this draft methodology for public review is to propose a technical plan to conduct the assessment. Within the methodology, the concepts of ecosystems, carbon pools, and GHG fluxes used for the assessment follow conventional definitions in use by major national and international assessment or inventory efforts. In order to estimate current ecosystem carbon stocks and GHG fluxes and to understand the potential capacity and effects of mitigation strategies, the method will use two time periods for the assessment: 2001 through 2010, which establishes a current ecosystem GHG baseline and will be used to validate the models; and 2011 through 2050, which will be used to assess future potential conditions based on a set of projected scenarios. The scenario framework is constructed using storylines of the Intergovernmental Panel on Climate Change (IPCC) Special Report Emission Scenarios (SRES), along with initial reference land-use and land-cover (LULC) and land-management scenarios. An additional three LULC and land-management mitigation scenarios will be constructed for each

  14. Evaluation of future precipitation scenario using statistical downscaling model over humid, subhumid, and arid region of Nepal—a case study

    NASA Astrophysics Data System (ADS)

    Sigdel, Madan; Ma, Yaoming

    2016-02-01

    Statistical downscaling model (SDSM) was applied in downscaling precipitation in the three climatic regions of Nepal. The study includes the calibration of the SDSM model by using large-scale atmospheric variables encompassing National Centers for Environmental Prediction (NCEP) reanalysis data, the validation of the model, and the outputs of downscaled scenarios A2 and B2 of the HadCM3 model for the future. The average R 2 value during validation period was 0.84, indicating the good applicability of SDSM for simulating precipitation. Under both scenarios A2 and B2, during the prediction period of 2010-2099, the change of annual mean precipitation in the three climatic regions would present a tendency of surplus of precipitation as compared to the mean values of the base period. On the average for all three climatic regions of Nepal, the annual mean precipitation would increase by about 13.75 % under scenario A2 and increase near about 11.68 % under scenario B2 in the 2050s. The model showed better performance over humid region; moreover, simulated results for the peak monsoon months seem to be overestimated over subhumid and arid regions.

  15. The Bisa GEM-Mars GCM

    NASA Astrophysics Data System (ADS)

    Neary, Lori; Daerden, Frank

    2013-04-01

    GEM-Mars is a three-dimensional general circulation model of the Mars atmosphere extending from the surface to approximately 170 km based on the latest version of the GEM (Global Environmental Mesoscale) model, the operational data assimilation and weather forecasting system for Canada [Côté et al., 1998]. The dynamical core is an implicit two-time-level semi-Lagrangian scheme on an Arakawa C-grid with a terrain-following, log-hydrostatic-pressure vertical coordinate discretized on a Charney-Phillips grid. The model has both a hydrostatic and non-hydrostatic formulation, providing a single platform for simulations on a variety of horizontal scales. The model code is fully parallelized using OMP and MPI. The GCM includes the relevant physical processes such as CO2 condensation, planetary boundary layer mixing, gravity wave drag and surface parameterizations. A simple water cycle, basic gas-phase chemistry and passive tracers are also included in the model. Because of the vertical extent of the model, UV heating, non-LTE effects and molecular diffusion are also included. Dust is prescribed using the MGS scenario for total opacities and a Conrath profile shape. In the dust radiative transfer code, dust optical properties are based on the Wolff et al [2006, 2009] data. Temperatures in the lower and middle atmosphere have been evaluated using TES [Smith, 2004] and MCS [Kleinbohl et al. 2009] data. Winds and atmospheric circulation (mass stream functions) have been compared with the literature and show a good correspondence to other Mars GCMs. In parallel, active lifting and settling of size-distributed dust has also been implemented. The soil model has been improved to better match surface and near-surface temperatures from the Viking Landers, Phoenix [Davy et al. 2010], and TES. Near-surface winds and friction velocities have been compared with the literature and show reasonable performance. Condensation of CO2 in surface ice has been validated using CO2 ice mass

  16. Environmental implications of United States coal exports: a comparative life cycle assessment of future power system scenarios.

    PubMed

    Bohnengel, Barrett; Patiño-Echeverri, Dalia; Bergerson, Joule

    2014-08-19

    Stricter emissions requirements on coal-fired power plants together with low natural gas prices have contributed to a recent decline in the use of coal for electricity generation in the United States. Faced with a shrinking domestic market, many coal companies are taking advantage of a growing coal export market. As a result, U.S. coal exports hit an all-time high in 2012, fueled largely by demand in Asia. This paper presents a comparative life cycle assessment of two scenarios: a baseline scenario in which coal continues to be burned domestically for power generation, and an export scenario in which coal is exported to Asia. For the coal export scenario we focus on the Morrow Pacific export project being planned in Oregon by Ambre Energy that would ship 8.8 million tons of Powder River Basin (PRB) coal annually to Asian markets via rail, river barge, and ocean vessel. Air emissions (SOx, NOx, PM10 and CO2e) results assuming that the exported coal is burned for electricity generation in South Korea are compared to those of a business as usual case in which Oregon and Washington's coal plants, Boardman and Centralia, are retrofitted to comply with EPA emissions standards and continue their coal consumption. Findings show that although the environmental impacts of shipping PRB coal to Asia are significant, the combination of superior energy efficiency among newer South Korean coal-fired power plants and lower emissions from U.S. replacement of coal with natural gas could lead to a greenhouse gas reduction of 21% in the case that imported PRB coal replaces other coal sources in this Asian country. If instead PRB coal were to replace natural gas or nuclear generation in South Korea, greenhouse gas emissions per unit of electricity generated would increase. Results are similar for other air emissions such as SOx, NOx and PM. This study provides a framework for comparing energy export scenarios and highlights the importance of complete life cycle assessment in

  17. Environmental Distributions of Benzo[a]pyrene in China: Current and Future Emission Reduction Scenarios Explored Using a Spatially Explicit Multimedia Fate Model.

    PubMed

    Zhu, Ying; Tao, Shu; Price, Oliver R; Shen, Huizhong; Jones, Kevin C; Sweetman, Andrew J

    2015-12-01

    SESAMe v3.0, a spatially explicit multimedia fate model with 50 × 50 km(2) resolution, has been developed for China to predict environmental concentrations of benzo[a]pyrene (BaP) using an atmospheric emission inventory for 2007. Model predictions are compared with environmental monitoring data obtained from an extensive review of the literature. The model performs well in predicting multimedia concentrations and distributions. Predicted concentrations are compared with guideline values; highest values with some exceedances occur mainly in the North China Plain, Mid Inner Mongolia, and parts of three northeast provinces, Xi'an, Shanghai, and south of Jiangsu province, East Sichuan Basin, middle of Guizhou and Guangzhou. Two potential future scenarios have been assessed using SESAMe v3.0 for 2030 as BaP emission is reduced by (1) technological improvement for coal consumption in energy production and industry sectors in Scenario 1 (Sc1) and (2) technological improvement and control of indoor biomass burning for cooking and indoor space heating and prohibition of open burning of biomass in 2030 in Scenario 2 (Sc2). Sc2 is more efficient in reducing the areas with exceedance of guideline values. Use of SESAMe v3.0 provides insights on future research needs and can inform decision making on options for source reduction. PMID:25942589

  18. Future habitat loss and extinctions driven by land-use change in biodiversity hotspots under four scenarios of climate-change mitigation.

    PubMed

    Jantz, Samuel M; Barker, Brian; Brooks, Thomas M; Chini, Louise P; Huang, Qiongyu; Moore, Rachel M; Noel, Jacob; Hurtt, George C

    2015-08-01

    Numerous species have been pushed into extinction as an increasing portion of Earth's land surface has been appropriated for human enterprise. In the future, global biodiversity will be affected by both climate change and land-use change, the latter of which is currently the primary driver of species extinctions. How societies address climate change will critically affect biodiversity because climate-change mitigation policies will reduce direct climate-change impacts; however, these policies will influence land-use decisions, which could have negative impacts on habitat for a substantial number of species. We assessed the potential impact future climate policy could have on the loss of habitable area in biodiversity hotspots due to associated land-use changes. We estimated past extinctions from historical land-use changes (1500-2005) based on the global gridded land-use data used for the Intergovernmental Panel on Climate Change Fifth Assessment Report and habitat extent and species data for each hotspot. We then estimated potential extinctions due to future land-use changes under alternative climate-change scenarios (2005-2100). Future land-use changes are projected to reduce natural vegetative cover by 26-58% in the hotspots. As a consequence, the number of additional species extinctions, relative to those already incurred between 1500 and 2005, due to land-use change by 2100 across all hotspots ranged from about 220 to 21000 (0.2% to 16%), depending on the climate-change mitigation scenario and biological factors such as the slope of the species-area relationship and the contribution of wood harvest to extinctions. These estimates of potential future extinctions were driven by land-use change only and likely would have been higher if the direct effects of climate change had been considered. Future extinctions could potentially be reduced by incorporating habitat preservation into scenario development to reduce projected future land-use changes in hotspots or by

  19. Multi-Path Transportation Futures Study. Vehicle Characterization and Scenario Analyses: Main Text and Appendices A, B, C, D, and F

    SciTech Connect

    Plotkin, Steve; Singh, Margaret; Patterson, Phil; Ward, Jake; Wood, Frances; Kydes, Niko; Holte, John; Moore, Jim; Miller, Grant; Das, Sujit; Greene, David

    2009-07-22

    This report provides details for Phase 2 of the Multi-Path Transportation Futures Study, which compares alternative ways to make significant reductions in oil use and carbon emissions from U.S. light vehicles to 2050. Phase I, completed in 2009, examined the full range of pathways of interest to EERE, with multiple scenarios aimed at revealing the issues and impacts associated with a national effort to reduce U.S. dependence on oil use in transportation. Phase 2 expanded the scope of the analysis by examining the interactive effects of multiple pathways on each other and on oil and feedstock prices, focusing far more on costs; and substantially increasing the number of metrics used to compare pathways and scenarios.

  20. Evidence and future scenarios of a low-carbon energy transition in Central America: a case study in Nicaragua

    NASA Astrophysics Data System (ADS)

    Barido, Diego Ponce de Leon; Johnston, Josiah; Moncada, Maria V.; Callaway, Duncan; Kammen, Daniel M.

    2015-10-01

    The global carbon emissions budget over the next decades depends critically on the choices made by fast-growing emerging economies. Few studies exist, however, that develop country-specific energy system integration insights that can inform emerging economies in this decision-making process. High spatial- and temporal-resolution power system planning is central to evaluating decarbonization scenarios, but obtaining the required data and models can be cost prohibitive, especially for researchers in low, lower-middle income economies. Here, we use Nicaragua as a case study to highlight the importance of high-resolution open access data and modeling platforms to evaluate fuel-switching strategies and their resulting cost of power under realistic technology, policy, and cost scenarios (2014-2030). Our results suggest that Nicaragua could cost-effectively achieve a low-carbon grid (≥80%, based on non-large hydro renewable energy generation) by 2030 while also pursuing multiple development objectives. Regional cooperation (balancing) enables the highest wind and solar generation (18% and 3% by 2030, respectively), at the least cost (US127 MWh-1). Potentially risky resources (geothermal and hydropower) raise system costs but do not significantly hinder decarbonization. Oil price sensitivity scenarios suggest renewable energy to be a more cost-effective long-term investment than fuel oil, even under the assumption of prevailing cheap oil prices. Nicaragua’s options illustrate the opportunities and challenges of power system decarbonization for emerging economies, and the key role that open access data and modeling platforms can play in helping develop low-carbon transition pathways.

  1. Future projection of Indian summer monsoon variability under climate change scenario: An assessment from CMIP5 climate models

    NASA Astrophysics Data System (ADS)

    Sharmila, S.; Joseph, S.; Sahai, A. K.; Abhilash, S.; Chattopadhyay, R.

    2015-01-01

    In this study, the impact of enhanced anthropogenic greenhouse gas emissions on the possible future changes in different aspects of daily-to-interannual variability of Indian summer monsoon (ISM) is systematically assessed using 20 coupled models participated in the Coupled Model Inter-comparison Project Phase 5. The historical (1951-1999) and future (2051-2099) simulations under the strongest Representative Concentration Pathway have been analyzed for this purpose. A few reliable models are selected based on their competence in simulating the basic features of present-climate ISM variability. The robust and consistent projections across the selected models suggest substantial changes in the ISM variability by the end of 21st century indicating strong sensitivity of ISM to global warming. On the seasonal scale, the all-India summer monsoon mean rainfall is likely to increase moderately in future, primarily governed by enhanced thermodynamic conditions due to atmospheric warming, but slightly offset by weakened large scale monsoon circulation. It is projected that the rainfall magnitude will increase over core monsoon zone in future climate, along with lengthening of the season due to late withdrawal. On interannual timescales, it is speculated that severity and frequency of both strong monsoon (SM) and weak monsoon (WM) might increase noticeably in future climate. Substantial changes in the daily variability of ISM are also projected, which are largely associated with the increase in heavy rainfall events and decrease in both low rain-rate and number of wet days during future monsoon. On the subseasonal scale, the model projections depict considerable amplification of higher frequency (below 30 day mode) components; although the dominant northward propagating 30-70 day mode of monsoon intraseasonal oscillations may not change appreciably in a warmer climate. It is speculated that the enhanced high frequency mode of monsoon ISOs due to increased GHG induced warming

  2. Do GCM's Predict the Climate.... Or the Low Frequency Weather?

    NASA Astrophysics Data System (ADS)

    Lovejoy, S.; Varon, D.; Schertzer, D. J.

    2011-12-01

    predicting this low frequency weather so as to predict the climate, they need appropriate climate forcings and/ or new internal mechanisms of variability. We examine this using wavelet analyses of forced and unforced GCM outputs, including the ECHO-G simulation used in the Millenium project. For example, we find that climate scenarios with large CO2 increases do give rise to a climate regime but that Hc>1 i.e. much larger than that of natural variability which for temperatures has Hc≈0.4. In comparison, the (largely volcanic) forcing of the ECHO-G Millenium simulation is fairly realistic (Hc≈0.4), although it is not clear that this mechanism can explain the even lower frequency variability found in the paleotemperature series, nor is it clear that this is compatible with low frequency solar or orbital forcings.

  3. Implications for future survival of delta smelt from four climate change scenarios for the Sacramento–San Joaquin Delta, California

    USGS Publications Warehouse

    Brown, Larry R.; Bennett, William A.; Wagner, R. Wayne; Morgan-King, Tara; Knowles, Noah; Feyrer, Frederick; Schoellhamer, David H.; Stacey, Mark T.; Dettinger, Mike

    2013-01-01

    Changes in the position of the low salinity zone, a habitat suitability index, turbidity, and water temperature modeled from four 100-year scenarios of climate change were evaluated for possible effects on delta smelt Hypomesus transpacificus, which is endemic to the Sacramento–San Joaquin Delta. The persistence of delta smelt in much of its current habitat into the next century appears uncertain. By mid-century, the position of the low salinity zone in the fall and the habitat suitability index converged on values only observed during the worst droughts of the baseline period (1969–2000). Projected higher water temperatures would render waters historically inhabited by delta smelt near the confluence of the Sacramento and San Joaquin rivers largely uninhabitable. However, the scenarios of climate change are based on assumptions that require caution in the interpretation of the results. Projections like these provide managers with a useful tool for anticipating long-term challenges to managing fish populations and possibly adapting water management to ameliorate those challenges.

  4. Assessing forest vulnerability and the potential distribution of pine beetles under current and future climate scenarios in the Interior West of the US

    USGS Publications Warehouse

    Evangelista, P.H.; Kumar, S.; Stohlgren, T.J.; Young, N.E.

    2011-01-01

    The aim of our study was to estimate forest vulnerability and potential distribution of three bark beetles (Curculionidae: Scolytinae) under current and projected climate conditions for 2020 and 2050. Our study focused on the mountain pine beetle (Dendroctonus ponderosae), western pine beetle (Dendroctonus brevicomis), and pine engraver (Ips pini). This study was conducted across eight states in the Interior West of the US covering approximately 2.2millionkm2 and encompassing about 95% of the Rocky Mountains in the contiguous US. Our analyses relied on aerial surveys of bark beetle outbreaks that occurred between 1991 and 2008. Occurrence points for each species were generated within polygons created from the aerial surveys. Current and projected climate scenarios were acquired from the WorldClim database and represented by 19 bioclimatic variables. We used Maxent modeling technique fit with occurrence points and current climate data to model potential beetle distributions and forest vulnerability. Three available climate models, each having two emission scenarios, were modeled independently and results averaged to produce two predictions for 2020 and two predictions for 2050 for each analysis. Environmental parameters defined by current climate models were then used to predict conditions under future climate scenarios, and changes in different species' ranges were calculated. Our results suggested that the potential distribution for bark beetles under current climate conditions is extensive, which coincides with infestation trends observed in the last decade. Our results predicted that suitable habitats for the mountain pine beetle and pine engraver beetle will stabilize or decrease under future climate conditions, while habitat for the western pine beetle will continue to increase over time. The greatest increase in habitat area was for the western pine beetle, where one climate model predicted a 27% increase by 2050. In contrast, the predicted habitat of the

  5. Future PMP Estimation in Korea under AR5 RCP 8.5 climate change scenarios and its Changes Cause Analysis

    NASA Astrophysics Data System (ADS)

    Kim, S.; Lee, J.; Okjeong, L.; Bogyeong, C.; Park, M. W.

    2015-12-01

    In this presentation, Korea's probable maximum precipitations (PMPs) which reflects all of the storm data until recently are calculated, and are compared to the existing PMPs which were calculated at 2000. In Korea, abnormal weather phenomena such as typhoon Rusa and Maemi, and the extreme rainfall event occurred on the east coast of the northern region, that can have a significant impact on the PMP estimation, have frequently happened since 2000. After selecting 240 major storm events from 1973 to 2012, new PMPs are proposed with respect to storm areas (25, 100, 225, 400, 900, 2025, 4900, 10000 and 19600 km2) and storm durations (1, 2, 4, 6, 8, 12, 18, 24, 48 and 72 hours) using the Korea hydro-meteorological method. After estimating future PMPs using future rainfall and dew point temperature information under the Korea Meteorological Administration AR5 RCP 8.5, changes in the PMPs under climate change will be investigated by comparison with present and future PMPs. By separating the changes in PMPs under climate change into the changes caused by rainfall and dew point temperature, the relative impact of future rainfall and dew point temperature information under climate change on future PMPs is quantified. This research was supported by a grant 'Development of the Evaluation Technology for Complex Causes of Inundation Vulnerability and the Response Plans in Coastal Urban Areas for Adaptation to Climate Change' [MPSS-NH-2015-77] from the Natural Hazard Mitigation Research Group, Ministry of Public Safety and Security of Korea.

  6. ESP v2.0: enhanced method for exploring emission impacts of future scenarios in the United States - addressing spatial allocation

    NASA Astrophysics Data System (ADS)

    Ran, L.; Loughlin, D. H.; Yang, D.; Adelman, Z.; Baek, B. H.; Nolte, C. G.

    2015-06-01

    The Emission Scenario Projection (ESP) method produces future-year air pollutant emissions for mesoscale air quality modeling applications. We present ESP v2.0, which expands upon ESP v1.0 by spatially allocating future-year non-power sector emissions to account for projected population and land use changes. In ESP v2.0, US Census division-level emission growth factors are developed using an energy system model. Regional factors for population-related emissions are spatially disaggregated to the county level using population growth and migration projections. The county-level growth factors are then applied to grow a base-year emission inventory to the future. Spatial surrogates are updated to account for future population and land use changes, and these surrogates are used to map projected county-level emissions to a modeling grid for use within an air quality model. We evaluate ESP v2.0 by comparing US 12 km emissions for 2005 with projections for 2050. We also evaluate the individual and combined effects of county-level disaggregation and of updating spatial surrogates. Results suggest that the common practice of modeling future emissions without considering spatial redistribution over-predicts emissions in the urban core and under-predicts emissions in suburban and exurban areas. In addition to improving multi-decadal emission projections, a strength of ESP v2.0 is that it can be applied to assess the emissions and air quality implications of alternative energy, population and land use scenarios.

  7. Surviving but not thriving: inconsistent responses of zooxanthellate jellyfish polyps to ocean warming and future UV-B scenarios.

    PubMed

    Klein, Shannon G; Pitt, Kylie A; Carroll, Anthony R

    2016-01-01

    Complex changes to UV radiation at the Earth's surface are occurring concurrently with ocean warming. Despite few empirical tests, jellyfish are hypothesised to be increasing in some parts of the world because they are robust to environmental stressors. Here we examine the effects of UV-B and ocean warming projections on zooxanthellate jellyfish polyps. We exposed Cassiopea sp. polyps to three levels of UV-B (future-low (1.43 Wm(2)), current (1.60 Wm(2)), future-high (1.77 Wm(2))) and two levels of temperature (current-day (25 °C) and future (28 °C)) over 6 weeks. The intensity of UV-B was varied throughout the day to mimic diel variation in UV-B irradiance. Polyp survival, asexual reproduction and YII were measured. In the current and future-high UV-B treatments, more polyps were produced in 25 °C than 28 °C. This pattern, however, was reversed under future-low UV-B conditions, where more polyps were produced at 28 °C. YII was highest under current summer conditions and future conditions of low UV-B and increased temperature. YII, however, was reduced under high UV-B conditions but was further reduced with warming. Our results suggest that although Cassiopea polyps may survive elevated UV-B and warming conditions, they are unlikely to thrive. If, however, UV-B radiation decreases then ocean warming may facilitate increases in Cassiopea populations. PMID:27374028

  8. Surviving but not thriving: inconsistent responses of zooxanthellate jellyfish polyps to ocean warming and future UV-B scenarios

    NASA Astrophysics Data System (ADS)

    Klein, Shannon G.; Pitt, Kylie A.; Carroll, Anthony R.

    2016-07-01

    Complex changes to UV radiation at the Earth’s surface are occurring concurrently with ocean warming. Despite few empirical tests, jellyfish are hypothesised to be increasing in some parts of the world because they are robust to environmental stressors. Here we examine the effects of UV-B and ocean warming projections on zooxanthellate jellyfish polyps. We exposed Cassiopea sp. polyps to three levels of UV-B (future-low (1.43 Wm2), current (1.60 Wm2), future-high (1.77 Wm2)) and two levels of temperature (current-day (25 °C) and future (28 °C)) over 6 weeks. The intensity of UV-B was varied throughout the day to mimic diel variation in UV-B irradiance. Polyp survival, asexual reproduction and YII were measured. In the current and future-high UV-B treatments, more polyps were produced in 25 °C than 28 °C. This pattern, however, was reversed under future-low UV-B conditions, where more polyps were produced at 28 °C. YII was highest under current summer conditions and future conditions of low UV-B and increased temperature. YII, however, was reduced under high UV-B conditions but was further reduced with warming. Our results suggest that although Cassiopea polyps may survive elevated UV-B and warming conditions, they are unlikely to thrive. If, however, UV-B radiation decreases then ocean warming may facilitate increases in Cassiopea populations.

  9. Surviving but not thriving: inconsistent responses of zooxanthellate jellyfish polyps to ocean warming and future UV-B scenarios

    PubMed Central

    Klein, Shannon G.; Pitt, Kylie A.; Carroll, Anthony R.

    2016-01-01

    Complex changes to UV radiation at the Earth’s surface are occurring concurrently with ocean warming. Despite few empirical tests, jellyfish are hypothesised to be increasing in some parts of the world because they are robust to environmental stressors. Here we examine the effects of UV-B and ocean warming projections on zooxanthellate jellyfish polyps. We exposed Cassiopea sp. polyps to three levels of UV-B (future-low (1.43 Wm2), current (1.60 Wm2), future-high (1.77 Wm2)) and two levels of temperature (current-day (25 °C) and future (28 °C)) over 6 weeks. The intensity of UV-B was varied throughout the day to mimic diel variation in UV-B irradiance. Polyp survival, asexual reproduction and YII were measured. In the current and future-high UV-B treatments, more polyps were produced in 25 °C than 28 °C. This pattern, however, was reversed under future-low UV-B conditions, where more polyps were produced at 28 °C. YII was highest under current summer conditions and future conditions of low UV-B and increased temperature. YII, however, was reduced under high UV-B conditions but was further reduced with warming. Our results suggest that although Cassiopea polyps may survive elevated UV-B and warming conditions, they are unlikely to thrive. If, however, UV-B radiation decreases then ocean warming may facilitate increases in Cassiopea populations. PMID:27374028

  10. Coupled Radiative-Dynamical GCM Simulations of Hot Jupiters

    NASA Astrophysics Data System (ADS)

    Showman, Adam P.; Fortney, J. J.; Lian, Y.; Marley, M. S.

    2007-10-01

    The stellar flux incident on hot Jupiters is expected to drive an atmospheric circulation that shapes the day-night temperature difference, infrared lightcurve, spectra, albedo, and atmospheric composition. Recent Spitzer lightcurve observations show that on some hot Jupiters, including HD189733b and HD209458b, the circulation efficiently homogenizes the temperature, whereas other planets such as Ups And b may exhibit large day-night temperature differences. Moreover, Spitzer infrared photometry and spectra constrain the vertical temperature structure in the atmosphere, which may deviate strongly from radiative equilibrium. Several groups have investigated the atmospheric circulation with a variety of 2D and 3D models (Showman and Guillot 2002; Cho et al. 2003, 2006; Langton and Laughlin 2007; Cooper and Showman 2005, 2006; Dobbs-Dixon and Lin 2007). However, all of these models drive the dynamics with simplified heating/cooling schemes that preclude robust predictions for the 3D temperature patterns, spectra, and lightcurves. Here, we present the first simulations of cloud-free hot Jupiters from a 3D general circulation model (GCM) that couples the atmospheric dynamics to a realistic representation of radiative transfer. For the dynamics, we adopt the MITgcm, which is a state-of-the-art circulation model that solves the 3D primitive equations of meteorology. Our radiation model is that of Marley and McKay (1999), which solves the two-stream radiative-transfer equations using the correlated-k method for the opacities; this radiative-transfer model has been extensively applied to brown dwarfs and extrasolar planets by Marley, Fortney, and collaborators. By coupling these components, the GCM provides a much more realistic representation of the radiative-dynamical interaction than possible with previous models. Here, we will present simulations of HD209458b and HD189733b, compare the predicted temperatures, spectra, and lightcurves with existing data, and make

  11. Regional Climate Simulation with a Variable Resolution Stretched Grid GCM: The Regional Down-Scaling Effects

    NASA Technical Reports Server (NTRS)

    Fox-Rabinovitz, Michael S.; Takacs, Lawrence L.; Suarez, Max; Sawyer, William; Govindaraju, Ravi C.

    1999-01-01

    computational efficiency for future SG-GCM and SG-DAS versions using PARALLEL codes.

  12. Latest results of the LMD Venus GCM

    NASA Astrophysics Data System (ADS)

    Lebonnois, S.; Marcq, E.; Lott, F.

    2012-12-01

    The LMD Venus General Circulation Model (GCM), under development since 2005, models the circulation in Venus atmosphere (from the surface up to roughly 100 km), in particular the superrotation feature. The temperature structure is computed using a specific radiative transfer module based on net-exchange matrix formulation. Since the publication of the GCM details (Lebonnois et al, JGR 115, 2010, doi:10.1029/2009JE003458), some improvements were done, especially for the boundary layer scheme that affects the exchange of angular momentum between atmosphere and surface. Surprising impact of initial conditions on the steady-state zonal winds is also discussed. Passive tracers, tuned to mimic CO and OCS distributions, have also been added to the model to simulate the latitudinal distributions induced by transport. In this presentation, comparisons between our latest simulations and available observations from Venus Express (winds, temperature fields, CO and OCS distributions) are detailed: zonal and meridional wind distributions in the cloud region and above, thermal tide features in winds and temperature near the cloud-top, CO and OCS latitudinal profiles below the clouds. These comparisons help constrain the meridional circulation and its impact on trace species distributions, the chemical relaxation timescale of the same trace species as well as the thermal tides and their role in the angular momentum budget and in the superrotation mechanism. The impact on the zonal wind field of gravity waves that may be generated near the surface is currently investigated with a new parametrisation. These gravity waves have been suggested as a significant contributor in the angular momentum budget and superrotation mechanism (Hou and Farrell, J. Atmos. Sci. 44, pp.1049-1061, 1987, doi:10.1175/1520-0469(1987)044<1049:SIBCLA>2.0.CO;2). This parametrisation and its first results are presented here.

  13. Future PMPs Estimation in Korea under AR5 RCP 8.5 Climate Change Scenario: Focus on Dew Point Temperature Change

    NASA Astrophysics Data System (ADS)

    Okjeong, Lee; Sangdan, Kim

    2016-04-01

    According to future climate change scenarios, future temperature is expected to increase gradually. Therefore, it is necessary to reflect the effects of these climate changes to predict Probable Maximum Precipitations (PMPs). In this presentation, PMPs will be estimated with future dew point temperature change. After selecting 174 major storm events from 1981 to 2005, new PMPs will be proposed with respect to storm areas (25, 100, 225, 400, 900, 2,025, 4,900, 10,000 and 19,600 km2) and storm durations (1, 2, 4, 6, 8, 12, 18, 24, 48 and 72 hours) using the Korea hydro-meteorological method. Also, orographic transposition factor will be applied in place of the conventional terrain impact factor which has been used in previous Korean PMPs estimation reports. After estimating dew point temperature using future temperature and representative humidity information under the Korea Meteorological Administration AR5 RCP 8.5, changes in the PMPs under dew point temperature change will be investigated by comparison with present and future PMPs. This research was supported by a grant(14AWMP-B082564-01) from Advanced Water Management Research Program funded by Ministry of Land, Infrastructure and Transport of Korean government.

  14. GCM simulated geopotential heights compared to GPS RO data

    NASA Astrophysics Data System (ADS)

    Molodtsov, S.; Kirilenko, A.; Olsen, D.

    2012-12-01

    Accurate, high-quality, global coverage data is required for global climate monitoring. It also provides possibility of additional validation of the general circulation models (GCMs). GPS Radio occultation (GPS RO) measurements have potential of becoming a new benchmark in data acquisition, providing new high-quality profiles of the parameters of the atmosphere, such as the temperature, water vapor pressure, and geopotential heights. In our study we use GPS RO data with a purpose to test global circulation models (GCMs). We study how climate change signal emerges in the GPS RO data and how these signals are reflected in GCM simulations. We use temperature and geopotential height profiles from 2001-2006 CHAMP and 2006-2011 COMIC acquisitions to validate the output from twelve IPCC AR4 GCMs run under A1B SRES scenario. We found that the 2001-2011 trends of the temperature and geopotential height derived from the IPCC AR4 GCMs show the same pattern with trends derived from GPS RO data - warming of the upper troposphere (UT) and cooling of the lower stratosphere (LS). There is some discrepancy between trends in lower troposphere (LT) between models and GPS RO data: some GCMs show decreasing temperature and geopotential height trends while the GPS RO trends are positive. The statistical analysis of these trends will be reported.

  15. Past, Current and Future Trajectories of Watershed Nutrient Sources, Forms and Exports: a Global NEWS Application to the Millennium Ecosystem Assessment Scenarios

    NASA Astrophysics Data System (ADS)

    Seitzinger, S.; Mayorga, E.; Beusen, A.; Bouwman, A.; Dumont, E.; Fekete, B.; Harrison, J.; Kroeze, C.; Lee, R.; Vorosmarty, C. J.; Wisser, D.

    2007-12-01

    Dramatic global increases in anthropogenic nutrient production on land and negative impacts on coastal systems due to export from rivers are extensively documented. Recently, the comprehensive Millennium Ecosystem Assessment (MA) concluded that excessive nutrient loading of ecosystems is one of the major drivers of global ecosystem change. Increased nutrient mobilization is expected to continue for decades in response to economic and population growth. Development of a scientific basis for actions to reverse these trends and sustain riverine and coastal ecosystem health requires quantitative models applicable at regional to global scales, sensitive to changes in watershed anthropogenic forcings, and capable of predicting changes in element ratios and nutrient forms (dissolved vs. particulate, organic vs. inorganic) which have been shown to modulate the impacts of nutrient loading on marine ecosystems. The Global Nutrient Export from Watersheds (NEWS) system of models was designed to meet these requirements and was previously applied to contemporary (1995) forcings. We will present preliminary results from an application to past (1970) and current (2000) conditions, and compare them to four MA future scenarios thru 2050. These scenarios integrate economic, social, and ecosystem processes, and represent plausible futures with contrasting degrees of global cooperation and of sustainability of ecosystem services.

  16. A stakeholder project to model water temperature under future climate scenarios in the Satus and Toppenish watersheds of the Yakima River Basinin Washington, USA

    USGS Publications Warehouse

    Graves, D.; Maule, A.

    2014-01-01

    The goal of this study was to support an assessment of the potential effects of climate change on select natural, social, and economic resources in the Yakima River Basin. A workshop with local stakeholders highlighted the usefulness of projecting climate change impacts on anadromous steelhead (Oncorhynchus mykiss), a fish species of importance to local tribes, fisherman, and conservationists. Stream temperature is an important environmental variable for the freshwater stages of steelhead. For this study, we developed water temperature models for the Satus and Toppenish watersheds, two of the key stronghold areas for steelhead in the Yakima River Basin. We constructed the models with the Stream Network Temperature Model (SNTEMP), a mechanistic approach to simulate water temperature in a stream network. The models were calibrated over the April 15, 2008 to September 30, 2008 period and validated over the April 15, 2009 to September 30, 2009 period using historic measurements of stream temperature and discharge provided by the Yakama Nation Fisheries Resource Management Program. Once validated, the models were run to simulate conditions during the spring and summer seasons over a baseline period (1981–2005) and two future climate scenarios with increased air temperature of 1°C and 2°C. The models simulated daily mean and maximum water temperatures at sites throughout the two watersheds under the baseline and future climate scenarios.

  17. Characterizing the emission implications of future natural gas production and use in the U.S. and Rocky Mountain region: A scenario-based energy system modeling approach

    NASA Astrophysics Data System (ADS)

    McLeod, Jeffrey

    The recent increase in U.S. natural gas production made possible through advancements in extraction techniques including hydraulic fracturing has transformed the U.S. energy supply landscape while raising questions regarding the balance of environmental impacts associated with natural gas production and use. Impact areas at issue include emissions of methane and criteria pollutants from natural gas production, alongside changes in emissions from increased use of natural gas in place of coal for electricity generation. In the Rocky Mountain region, these impact areas have been subject to additional scrutiny due to the high level of regional oil and gas production activity and concerns over its links to air quality. Here, the MARKAL (MArket ALlocation) least-cost energy system optimization model in conjunction with the EPA-MARKAL nine-region database has been used to characterize future regional and national emissions of CO 2, CH4, VOC, and NOx attributed to natural gas production and use in several sectors of the economy. The analysis is informed by comparing and contrasting a base case, business-as-usual scenario with scenarios featuring variations in future natural gas supply characteristics, constraints affecting the electricity generation mix, carbon emission reduction strategies and increased demand for natural gas in the transportation sector. Emission trends and their associated sensitivities are identified and contrasted between the Rocky Mountain region and the U.S. as a whole. The modeling results of this study illustrate the resilience of the short term greenhouse gas emission benefits associated with fuel switching from coal to gas in the electric sector, but also call attention to the long term implications of increasing natural gas production and use for emissions of methane and VOCs, especially in the Rocky Mountain region. This analysis can help to inform the broader discussion of the potential environmental impacts of future natural gas production

  18. Equatorial superrotation in a slowly rotating GCM - Implications for Titan and Venus

    NASA Astrophysics Data System (ADS)

    del Genio, A. D.; Zhou, W.; Eichler, T. P.

    1993-01-01

    The GISS GCM is used here to examine the hypothesis that equatorial superrotation on slowly rotating planets is sensitive to the nature of the vertical radiative heating profile and can exist in the absence of diurnally varying forcing. The general circulation, diabatic heating, and thermal structure produced in the experiments are described and the heat and angular momentum budgets and energy cycles are analyzed to understand the factors conducive to equatorial superrotation. The implications of the results for future planetary missions are addressed.

  19. The effect of range changes on the functional turnover, structure and diversity of bird assemblages under future climate scenarios.

    PubMed

    Barbet-Massin, Morgane; Jetz, Walter

    2015-08-01

    Animal assemblages fulfill a critical set of ecological functions for ecosystems that may be altered substantially as climate change-induced distribution changes lead to community disaggregation and reassembly. We combine species and community perspectives to assess the consequences of projected geographic range changes for the diverse functional attributes of avian assemblages worldwide. Assemblage functional structure is projected to change highly unevenly across space. These differences arise from both changes in the number of species and changes in species' relative local functional redundancy or distinctness. They sometimes result in substantial losses of functional diversity that could have severe consequences for ecosystem health. Range expansions may counter functional losses in high-latitude regions, but offer little compensation in many tropical and subtropical biomes. Future management of local community function and ecosystem services thus relies on understanding the global dynamics of species distributions and multiscale approaches that include the biogeographic context of species traits. PMID:25931153

  20. Neotropical vegetation responses to Younger Dryas climates as analogs for future climate change scenarios and lessons for conservation

    NASA Astrophysics Data System (ADS)

    Rull, V.; Vegas-Vilarrúbia, T.; Montoya, E.

    2015-05-01

    The Younger Dryas (YD) climatic reversal (12.86-11.65 cal ky BP), especially the warming initiated at ∼12.6 cal ky BP, and the associated vegetation changes have been proposed as past analogs to forecast the potential vegetation responses to future global warming. In this paper, we applied this model to highland and midland Neotropical localities. We used pollen analysis of lake sediments to record vegetation responses to YD climatic changes, which are reconstructed from independent paleoclimatic proxies such as the Mg/Ca ratio on foraminiferal tests and Equilibrium Line Altitude (ELA) for paleotemperature, and grayscale density and Titanium content for paleoprecipitation. Paleoclimatic reconstructions at both highlands and midlands showed a clear YD signal with a conspicuous warming extending into the early Holocene. A small percentage of taxa resulted to be sensitive to these YD climate changes. Response lags were negligible at the resolution of the study. However, changes in the sensitive taxa were relevant enough to determine changes in biodiversity and taxonomic composition. Highland vegetation experienced mainly intra-community reorganizations, whereas midland vegetation underwent major changes leading to community substitutions. This was explained in terms of threshold-crossing non-linear responses in which the coupling of climatic and other forcings (fire) was proposed as the main driving mechanism. Paleoecology provides meaningful insights on the responses of highland and midland Neotropical vegetation to the YD climatic reversal. Biotic responses at both individual (species) and collective (assemblage) levels showed patterns and processes of vegetation change useful to understand its ecological dynamics, as well as the mechanisms and external drivers involved. The use of paleoecological methods to document the biotic responses to the YD climate shifts can be useful to help forecasting the potential consequences of future global warming. Due to its quasi

  1. Anticipating and Communicating Plausible Environmental and Health Concerns Associated with Future Disasters: The ShakeOut and ARkStorm Scenarios as Examples

    NASA Astrophysics Data System (ADS)

    Plumlee, G. S.; Morman, S. A.; Alpers, C. N.; Hoefen, T. M.; Meeker, G. P.

    2010-12-01

    toward a more quantitative, predictive approach to understanding the potential sources, types, environmental behavior, and health implications of HM predicted to result from these disaster scenarios. Although only a first step, this qualitative approach will help enhance planning for, mitigation of, and resilience to environmental-health consequences of future disasters. This qualitative approach also requires careful communication to stakeholders that does not sensationalize or overstate potential problems, but rather conveys plausible impacts and next steps to improve understanding of potential risks and their mitigation.

  2. Water yield responses to high and low spatial resolution climate change scenarios in the Missouri River Basin

    NASA Astrophysics Data System (ADS)

    Stone, Mark C.; Hotchkiss, Rollin H.; Mearns, Linda O.

    2003-02-01

    Water yield responses to two climate change scenarios of different spatial scales were compared for the Missouri River Basin. A coarse-resolution climate change scenario was created from runs of the Commonwealth Scientific and Industrial Research Organization General Circulation Model (CSIRO GCM). The high-resolution climate change scenario was developed using runs of the Regional Climate Model RegCM, for which the GCM provided the initial and lateral boundary conditions. Water yield responses to the high- and low-resolution climate change scenarios were investigated using the Soil and Water Assessment Tool (SWAT). Basin-wide water yield increased for both GCM and RegCM scenarios but with an overall greater increase for the RegCM scenario. Significant differences in water yields were found between the GCM and RegCM climate scenarios.

  3. Current and future carbon export by the Connecticut River: using streamflow data archives and rating curves to model annual and seasonal constituent loads under future discharge scenarios

    NASA Astrophysics Data System (ADS)

    Petsch, S.; Armfield, J. R.

    2013-12-01

    Rivers deliver play an important role in global carbon and nutrient cycling through delivery of organic matter to the oceans. However, connections between carbon export and the processes that control river discharge and landscape erosion are poorly understood in modern river systems, hampering efforts to make predictions about watershed carbon export in the face of future land-use and climate changes. The impacts of future changes can be estimated by exploring relationships between river discharge and constituent loads using long-term archives of streamflow and water quality. Here, we use data from USGS streamgage 01184000 to examine the relationships between discharge and constituent loads in the Connecticut River, northeast USA. 85 years of daily discharge data were used to establish probability distributions for annual and seasonal river discharge. Constituent loads (TSS, POC, DOC) and characteristics (POC C/N ratios, % OC in suspended sediments) were used with discharge to determine the form and significance of constituent rating curves. TSS and POC loads follow distinct positive power-law relationships with discharge. Discharge is negatively correlated with weight % OC in suspended sediments and positively correlated with POC C/N ratios. DOC concentrations do not vary with discharge. POC and TSS rating curves vary by season, but the significance of these differences is low (r2<0.5, p >0.10). Annual mean POC concentrations are 0.5 mg/L, with mean spring POC concentrations (0.7 mg/L) being twice those of summer. Annual mean DOC concentrations are approx. 4 mg/L. Mean annual POC C/N ratios are 8.1, with higher ratios in winter and spring, and lower ratios in summer and fall. The mean annual % OC in suspended sediments is nearly 6%; mean % OC in summer and fall suspended sediments is over 7% while mean % OC in spring suspended sediments is 2.9%. Mean daily spring discharge is twice the annual mean discharge and nearly four times the mean daily summer discharge. As

  4. Future scenarios of land-use and land-cover change in the United States--the Marine West Coast Forests Ecoregion

    USGS Publications Warehouse

    Wilson, Tamara S.; Sleeter, Benjamin M.; Sohl, Terry L.; Griffith, Glenn; Acevedo, William; Bennett, Stacie; Bouchard, Michelle; Reker, Ryan; Ryan, Christy; Sayler, Kristi L.; Sleeter, Rachel; Soulard, Christopher E.

    2012-01-01

    Detecting, quantifying, and projecting historical and future changes in land use and land cover (LULC) has emerged as a core research area for the U.S. Geological Survey (USGS). Changes in LULC are important drivers of changes to biogeochemical cycles, the exchange of energy between the Earth’s surface and atmosphere, biodiversity, water quality, and climate change. To quantify the rates of recent historical LULC change, the USGS Land Cover Trends project recently completed a unique ecoregion-based assessment of late 20th century LULC change for the western United States. To characterize present LULC, the USGS and partners have created the National Land Cover Database (NLCD) for the years 1992, 2001, and 2006. Both Land Cover Trends and NLCD projects continue to evolve in an effort to better characterize historical and present LULC conditions and are the foundation of the data presented in this report. Projecting future changes in LULC requires an understanding of the rates and patterns of change, the major driving forces, and the socioeconomic and biophysical determinants and capacities of regions. The data presented in this report is the result of an effort by USGS scientists to downscale the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) to ecoregions of the conterminous United States as part of the USGS Biological Carbon Sequestration Assessment. The USGS biological carbon assessment was mandated by Section 712 of the Energy Independence and Security Act of 2007. As part of the legislative mandate, the USGS is required to publish a methodology describing, in detail, the approach to be used for the assessment. The development of future LULC scenarios is described in chapter 3.2 and appendix A. Spatial modeling is described in chapter 3.3.2 and appendix B and in Sohl and others (2011). In this report, we briefly summarize the major components and methods used to downscale IPCC-SRES scenarios to ecoregions of the

  5. Assessment of future scenarios for wind erosion sensitivity changes based on ALADIN and REMO regional climate model simulation data

    NASA Astrophysics Data System (ADS)

    Mezősi, Gábor; Blanka, Viktória; Bata, Teodóra; Ladányi, Zsuzsanna; Kemény, Gábor; Meyer, Burghard C.

    2016-07-01

    The changes in rate and pattern of wind erosion sensitivity due to climate change were investigated for 2021-2050 and 2071-2100 compared to the reference period (1961-1990) in Hungary. The sensitivities of the main influencing factors (soil texture, vegetation cover and climate factor) were evaluated by fuzzy method and a combined wind erosion sensitivity map was compiled. The climate factor, as the driving factor of the changes, was assessed based on observed data for the reference period, while REMO and ALADIN regional climate model simulation data for the future periods. The changes in wind erosion sensitivity were evaluated on potentially affected agricultural land use types, and hot spot areas were allocated. Based on the results, 5-6% of the total agricultural areas were high sensitive areas in the reference period. In the 21st century slight or moderate changes of wind erosion sensitivity can be expected, and mostly `pastures', `complex cultivation patterns', and `land principally occupied by agriculture with significant areas of natural vegetation' are affected. The applied combination of multi-indicator approach and fuzzy analysis provides novelty in the field of land sensitivity assessment. The method is suitable for regional scale analysis of wind erosion sensitivity changes and supports regional planning by allocating priority areas where changes in agro-technics or land use have to be considered.

  6. Changes of Meiyu system in the future under A1B scenario simulated by MIROC_Hires model

    NASA Astrophysics Data System (ADS)

    Zhu, Jian; Huang, Danqing; Yang, Tao

    2016-02-01

    The Meiyu/Baiu/Changma is an important and unique persistent rainfall over East Asian during the northward progress of the East Asian summer monsoon (EASM) from late spring to middle summer. In this study, changes of Meiyu system under global warming are examined by MIROC_Hires coupled model. The results reveal that the Meiyu system becomes weaker in the warmer future: the large precipitation center shifts to northern China; ratio of Meiyu rainfall to total summer precipitation ratio decreases. For the three-dimensional atmospheric circulation, the configuration of upper and lower jets benefits the heavy rainfall located over the northern China, associated with abundant water vapor transporting to northern China. The heterogeneous warming over land and sea may be a possible reason for the changes of Meiyu system. Larger thermal contrast is indicated between the Asian continent and the western Pacific during the Meiyu period, which may result in the enhanced southerly with abundant water vapor arriving at northern China. Therefore, rainfall over Meiyu region may be suspended.

  7. Information content of downscaled GCM precipitation variables for crop simulations

    NASA Astrophysics Data System (ADS)

    Ines, A. V. M.; Mishra, A. K.

    2015-12-01

    A simple statistical downscaling procedure for transforming daily global climate model (GCM) rainfall was applied at the local scale in Katumani, Kenya. We corrected the rainfall frequency bias of the GCM by truncating its daily rainfall cumulative distribution into the station's distribution using a wet-day threshold. Then, we corrected the GCM's rainfall intensity bias by mapping its truncated rainfall distribution into the station's truncated distribution. Additional tailoring was made to the bias corrected GCM rainfall by linking it with a stochastic disaggregation scheme based on a conditional stochastic weather generator to correct the temporal structure inherent with daily GCM rainfall. Results of the simple and hybridized GCM downscaled precipitation variables (total, probability of occurrence, intensity and dry spell length) were linked with a crop model. An objective evaluation of the tailored GCM data was done using entropy. This study is useful for the identification of the most suitable downscaling technique, as well as the most effective precipitation variables for forecasting crop yields.

  8. GroEL assisted folding of large polypeptide substrates in Escherichia coli: Present scenario and assignments for the future.

    PubMed

    Chaudhuri, Tapan K; Verma, Vikash K; Maheshwari, Aditi

    2009-01-01

    Escherichia coli chaperonins GroEL and GroES are indispensable for survival and growth of the cell since they provide essential assistance to the folding of many newly translated proteins in the cell. Recent studies indicate that a substantial portion of the proteins involved in the host pathways are completely dependent on GroEL-GroES for their folding and hence providing some explanation for why GroEL is essential for cell growth. Many proteins either small-single domain or large multidomains require assistance from GroEL-ES during their lifetime. Proteins of size up to approximately 70kDa can fold via the cis mechanism during GroEL-ES assisted pathway, but other proteins (>70kDa) that cannot be pushed inside the cavity of GroEL-ATP complex upon binding of GroES fold by an evolved mechanism called trans. In recent years, much work has been done on revealing facts about the cis mechanism involving the GroEL assisted folding of small proteins whereas the trans mechanism with larger polypeptide substrates still remains under cover. In order to disentangle the role of chaperonin GroEL-GroES in the folding of large E. coli proteins, this review discusses a number of issues like the range of large polypeptide substrates acted on by GroEL. Do all these substrates need the complete chaperonin system along with ATP for their folding? Does GroEL act as foldase or holdase during the process? We conclude with a discussion of the various queries that need to be resolved in the future for an extensive understanding of the mechanism of GroEL mediated folding of large substrate proteins in E. coli cytosol. PMID:19027782

  9. Changes in southern Piedmont grassland community structure and nutritive quality with future climate scenarios of elevated tropospheric ozone and altered rainfall patterns.

    PubMed

    Gilliland, N J; Chappelka, A H; Muntifering, R B; Ditchkoff, S S

    2016-01-01

    Forage species common to the southern USA Piedmont region, Lolium arundinacea, Paspalum dilatatum, Cynodon dactylon and Trifolium repens, were established in a model pasture system to test the future climate change scenario of increasing ozone exposure in combination with varying rainfall amounts on community structure and nutritive quality. Forages were exposed to two levels of ozone [ambient (non-filtered; NF) and twice ambient (2×) concentrations] with three levels of precipitation (average or ±20% of average) in modified open-top chambers (OTCs) from June to September 2009. Dry matter (DM) yield did not differ over the growing season between forage types, except in primary growth grasses where DM yield was higher in 2× than NF treatment. Primary growth clover decreased in nutritive quality in 2× ozone because of increased concentrations of neutral detergent fibre (NDF), acid detergent fibre (ADF) and acid detergent lignin (ADL). Re-growth clover exhibited the largest decrease in nutritive quality, whereas grasses were not adversely affected in 2× ozone. Re-growth grasses responded positively to 2× ozone exposure, as indicated in increased relative food value (RFV) and percentage crude protein (CP) than NF-exposed re-growth grasses. Effects of precipitation were not significant over the growing season for primary or re-growth forage, except in primary growth grasses where DM yield was higher in chambers with above average (+20%) precipitation. Total canopy cover was significantly higher over the growing season in chambers receiving above average precipitation, but no significant effects were observed with ozone. Results indicate shifts in plant community structure and functioning related to mammalian herbivore herbivory in future climate change scenarios. PMID:25727344

  10. Flying the TRMM Satellite in a GCM

    NASA Technical Reports Server (NTRS)

    Lin, Xin; Fowler, Laura D.; Randall, David A.

    2001-01-01

    By incorporating the Tropical Rainfall Measurement Mission (TRMM) satellite orbital information into the Colorado State University General Circulation Model (CSU GCM), we are able to 'fly' a satellite in the GCM, and sample the simulated atmosphere in the same way as the TRMM sensors sample the real atmosphere. The TRMM-sampled statistics for precipitation and radiative fluxes at annual, intraseasonal, monthly-mean and seasonal-mean diurnal time scales are evaluated by comparing the satellite-sampled against fully-sampled simulated atmospheres. The sampling rates of the TRMM sensors are significantly affected by the sensors' swath widths. The TRMM Microwave Imager (TMI) and the Visible Infrared Scanner (VIRS) sample each 2.25 x 2.25 degree grid box in the Tropics and subtropics about once per day, but at a different local time every day, while the Precipitation Radar (PR) and the Clouds and the Earth's Radiant Energy System (CERES) sensor visit each grid box about once every three days and twice per day, respectively. Besides inadequate samplings resulting from sensors' swath widths, there is a large, systematic diurnal undersampling associated with TRMM's orbital geometry for grid boxes away from the Equator. When only one month of TRMM data are used, this diurnal undersampling can lead to more daytime samples relative to nighttime samples in one hemisphere, and more nighttime samples relative to daytime samples in the other hemisphere. The resulting sampling biases (3-6 W m(exp-2)) are very pronounced in outgoing longwave radiation (OLR) over the subtropical land masses. The sampling errors in OLR monthly- and seasonal-means are less than 8 W m(exp-2) (5%) for each 2.25 x 2.25 degree grid box. The OLR monthly- and seasonal-means are not sensitive to diurnal undersamplings associated with the TRMM orbits and sensors' swath widths. However, this is not the case for total precipitation. Diurnal undersampling could produce errors as large as 20% in the Tropics and 40

  11. Environmental impact assessment and monetary ecosystem service valuation of an ecosystem under different future environmental change and management scenarios; a case study of a Scots pine forest.

    PubMed

    Schaubroeck, Thomas; Deckmyn, Gaby; Giot, Olivier; Campioli, Matteo; Vanpoucke, Charlotte; Verheyen, Kris; Rugani, Benedetto; Achten, Wouter; Verbeeck, Hans; Dewulf, Jo; Muys, Bart

    2016-05-15

    For a sustainable future, we must sustainably manage not only the human/industrial system but also ecosystems. To achieve the latter goal, we need to predict the responses of ecosystems and their provided services to management practices under changing environmental conditions via ecosystem models and use tools to compare the estimated provided services between the different scenarios. However, scientific articles have covered a limited amount of estimated ecosystem services and have used tools to aggregate services that contain a significant amount of subjective aspects and that represent the final result in a non-tangible unit such as 'points'. To resolve these matters, this study quantifies the environmental impact (on human health, natural systems and natural resources) in physical units and uses an ecosystem service valuation based on monetary values (including ecosystem disservices with associated negative monetary values). More specifically, the paper also focuses on the assessment of ecosystem services related to pollutant removal/generation flows, accounting for the inflow of eutrophying nitrogen (N) when assessing the effect of N leached to groundwater. Regarding water use/provisioning, evapotranspiration is alternatively considered a disservice because it implies a loss of (potential) groundwater. These approaches and improvements, relevant to all ecosystems, are demonstrated using a Scots pine stand from 2010 to 2089 for a combination of three environmental change and three management scenarios. The environmental change scenarios considered interannual climate variability trends and included alterations in temperature, precipitation, nitrogen deposition, wind speed, Particulate matter (PM) concentration and CO2 concentration. The addressed flows/ecosystem services, including disservices, are as follows: particulate matter removal, freshwater loss, CO2 sequestration, wood production, NOx emissions, NH3 uptake and nitrogen pollution/removal. The monetary

  12. Future changes in summer precipitation in regional climate simulations over the Korean peninsula forced by multi-RCP scenarios of HadGEM2-AO

    NASA Astrophysics Data System (ADS)

    Cha, Dong-Hyun; Lee, Dong-Kyou; Jin, Chun-Sil; Kim, Gayoung; Choi, Yonghan; Suh, Myoung-Seok; Ahn, Joong-Bae; Hong, Song-You; Min, Seung-Ki; Park, Seong-Chan; Kang, Hyun-Suk

    2016-05-01

    In this study, the regional climate of the Korean Peninsula (KP) was dynamically downscaled using a high-resolution regional climate model (RCM) forced by multi- representative concentration pathways (RCP) scenarios of HadGEM2-AO, and changes in summer precipitation were investigated. Through the evaluation of the present climate, the RCM reasonably reproduced long-term climatology of summer precipitation over the KP, and captured the sub-seasonal evolution of Changma rain-band. In future projections, all RCP experiments using different RCP radiative forcings (i.e., RCP2.6, RCP4.5, RCP6.0, and RCP8.5 runs) simulated an increased summer precipitation over the KP. However, there were some differences in changing rates of summer precipitation among the RCP experiments. Future increases in summer precipitation were affected by future changes in moisture convergence and surface evaporation. Changing ranges in moisture convergences among RCP experiments were significantly larger than those in surface evaporation. This indicates that the uncertainty of changes in summer precipitation is related to the projection of the monsoon circulation, which determines the moisture convergence field through horizontal advection. Changes in the sub-seasonal evolution of Changma rain-band were inconsistent among RCP experiments. However, all experiments showed that Changma rain-band was enhanced during late June to early July, but it was weakened after mid-July due to the expansion of the western North Pacific subtropical high. These results indicate that precipitation intensity related to Changma rain-band will be increased, but its duration will be reduced in the future.

  13. Future changes in summer precipitation in regional climate simulations over the Korean Peninsula forced by multi-RCP scenarios of HadGEM2-AO

    NASA Astrophysics Data System (ADS)

    Cha, Dong-Hyun; Lee, Dong-Kyou; Jin, Chun-Sil; Kim, Gayoung; Choi, Yonghan; Suh, Myoung-Seok; Ahn, Joong-Bae; Hong, Song-You; Min, Seung-Ki; Park, Seong-Chan; Kang, Hyun-Suk

    2016-05-01

    In this study, the regional climate of the Korean Peninsula (KP) was dynamically downscaled using a high-resolution regional climate model (RCM) forced by multi- representative concentration pathways (RCP) scenarios of HadGEM2-AO, and changes in summer precipitation were investigated. Through the evaluation of the present climate, the RCM reasonably reproduced long-term climatology of summer precipitation over the KP, and captured the sub-seasonal evolution of Changma rain-band. In future projections, all RCP experiments using different RCP radiative forcings (i.e., RCP2.6, RCP4.5, RCP6.0, and RCP8.5 runs) simulated an increased summer precipitation over the KP. However, there were some differences in changing rates of summer precipitation among the RCP experiments. Future increases in summer precipitation were affected by future changes in moisture convergence and surface evaporation. Changing ranges in moisture convergences among RCP experiments were significantly larger than those in surface evaporation. This indicates that the uncertainty of changes in summer precipitation is related to the projection of the monsoon circulation, which determines the moisture convergence field through horizontal advection. Changes in the sub-seasonal evolution of Changma rain-band were inconsistent among RCP experiments. However, all experiments showed that Changma rain-band was enhanced during late June to early July, but it was weakened after mid-July due to the expansion of the western North Pacific subtropical high. These results indicate that precipitation intensity related to Changma rain-band will be increased, but its duration will be reduced in the future.

  14. Hydrological projections of climate change scenarios in the Lena and the Mackenzie basins: modeling and uncertainty issues

    NASA Astrophysics Data System (ADS)

    Gelfan, Alexander; Gustafsson, David; Motovilov, Yury; Arheimer, Berit; Kalugin, Andrei; Krylenko, Inna; Lavrenov, Alexander

    2016-04-01

    The ECOMAG and the HYPE regional hydrological models were setup to assess possible impacts of climate change on the hydrological regime of two pan-Arctic great drainage basins: the Lena and the Mackenzie rivers. We firstly assessed the reliability of the hydrological models to reproduce the historical streamflow series and analyse the hydrological projections from the climate change scenarios. The impacts were assessed in three 30-year periods: early- (2006-2035), mid- (2036-2065) and end-century (2070-2099) using an ensemble of five GCMs and four Representative Concentration Pathways (RCP) scenarios. Results show, particularly, that the basins react with multi-year delay to changes in the RCP2.6 mitigation (peak-and-decline) scenario, and consequently to the potential mitigation measures. Then we assessed the hydrological projections' uncertainty, which is caused by the GCM's and RCP's variabilities, and indicated that the uncertainty rises with the time horizon of the projection and, generally, the uncertainty interval is wider for Mackenzie than for Lena. We finally compare the potential future hydrological impacts predicted based on the GCM-scenario ensemble approach and the delta-change transformation method of the historical observations. We found that the latter method can produce useful information about the climate change impact in the great Arctic rivers, at least for the nearest decades.

  15. Rapid Loss of Andean Alpine Glaciers: A Reflection on Cotopaxi´s Long-Distance Historical Lahars and Future Lahar Scenarios

    NASA Astrophysics Data System (ADS)

    Mothes, P. A.; Hall, M. L.; Samaniego, P.; Francou, B.; Castro, M.; Hidalgo, X.

    2007-05-01

    Andean alpine glaciers are in rapid retreat, as witnessed by actual measurements, comparative imagery and popular memory. Overall glacier losses will diminish future water availability for human consumption as well as for lahar generation, the product of mixing incandescent eruptive materials with glacial ice and snow. The field study and modeling of long-distance historical lahars from Cotopaxi volcano, Ecuador has shown them to be some of the most voluminous and longest reported. Based on back calculations, peak discharges were commonly between 45,000-60,000 m3/sec, velocities reached 70 km/hr, and run outs attained 325 km. The last "super" debris flow was produced at Cotopaxi in 1877. Observations made after the 1877 eruption reported that the glacier had suffered about 10 meters of ice stripped off the top and the incision of deep gullies from melting and erosion by the scoria block-rich pyroclastic flows. Average reductions of 45% and 60%, respectively, of the area and volume of Cotopaxi´s 19 alpine glaciers during the last 30 years have left an ice cap of only 13 km2 and a volume of 0.60 km3. Descriptions by astute 18th and 19th century observers lead us to conclude that Cotopaxi glaciers were much more robust then, surpassing a total area of about 30 km2, a fact which contributed to generating large volume lahars and high discharges, during the waning "Little Ice Age". If an eruption similar to that of 1877 occurs at Cotopaxi in the future, reduced glacier sizes and the glaciers´ preferential distribution upon the cone will likely attenuate volcano-ice interactions and will lower the probability of "super" lahars being produced during eruptive periods. However, in the last 2000 years of eruptive activity, explosive eruptions display a large size span-- from weakly explosive events (VEI= 2) to highly explosive eruptive cycles (VEI= 4-5). Given the uncertainty of the size of the next explosive eruption of Cotopaxi, several scenarios for lahar generation must

  16. An evaluation of the impacts of energy tree plantations on water resources in the United Kingdom under present and future UKCIP02 climate scenarios

    NASA Astrophysics Data System (ADS)

    Calder, Ian R.; Nisbet, Tom; Harrison, Jennifer A.

    2009-07-01

    The Hydrological Land Use Change model was used to assess the range of water resource impacts associated with four potential energy tree species (Eucalyptus nitens, Eucalyptus gunnii, Nothofagus sp., and Fraxinus excelsior) at eight United Kingdom locations under present and future, Environment Agency Rainfall and Weather Impacts Generator, climate scenarios generated using UK Climate Impacts Programme 2002 (UKCIP02). Parameter values were derived using expert opinion and interpolation because of limited data. For Fraxinus excelsior, there are questions concerning the unusual, in a world context, published findings that evaporation from a tree crop is less than that from grass. Model predictions indicated that under the present climate all tree species, excepting Fraxinus excelsior, at all sites have greater mean annual evaporation, (8 to 84%) and reduced water yields (-6 to -97%) compared with grass. The predicted increase in tree evaporation arises from parameter values reflecting both increased rainfall interception and higher transpiration due to deeper rooting depths. Under future climate scenarios, (1) "potential annual yield" (difference between actual rainfall and potential evaporation) will decrease, becoming negative at all studied sites in England and Wales by 2080; (2) at drier sites and for species with highest evaporation rates, E. nitens and Nothofagus, evaporation rates will decrease; (3) at wetter sites and for all species, evaporation rates will increase; (4) at all sites and for all species, water yields will decrease; (5) differences between species remain the same, with evaporation rates increasing and water yield decreasing in the order Fraxinus excelsior, grass, E. gunnii, Nothofagus, and E. Nitens; and (6) there is an overall trend through time toward convergence in water yields from trees and grass. If higher water yield predictions for Fraxinus excelsior are proved correct, this would represent an attractive land use option for water and

  17. Simulated Extreme Prepitation Indices over Northeast Brasil in Current Climate and Future Scenarios RCP4.5 and RCP8.5

    NASA Astrophysics Data System (ADS)

    Wender Santiago Marinho, Marcos; Araújo Costa, Alexandre; Cassain Sales, Domingo; Oliveira Guimarães, Sullyandro; Mariano da Silva, Emerson; das Chagas Vasconcelos Júnior, Francisco

    2013-04-01

    In this study, we analyzed extreme precipitation indices, for present and future modeled climates over Northeast of Brazil (NEB), from CORDEX simulations over the domain of Tropical Americas. The period for the model validation was from 1989-2007, using data from the European Center (ECWMF) Reanalysis, ERA-INTERIM, as input to drive the regional model (RAMS 6.0). Reanalysis data were assimilated via both lateral boundaries and the entire domain (a much weaker "central nudging"). Six indices of extreme precipitation were calculated over NEB: the average number of days above 10, 20 and 30 mm in one year (R10, R20, R30), the number of consecutive dry days (CDD), the number of consecutive wet days (CWD) and the maximum rainfall in five consecutive days (RX5). Those indices were compared against two independent databases: MERRA (Modern Era Retrospective analysis for Research and Applications) and TRMM (Tropical Rainfall Measuring Mission). After validation, climate simulations were performed for the present climate (1985-2005) and short-term (2015-2035), mid-term (2045-2065) and long-term (2079 to 2099) future climates for two scenarios: RCP 4.5 and RCP 8.5, nesting RAMS into HadGEM2-ES global model (a participant of CMIP5). Along with the indices, we also calculated Probability Distribution Functions (PDFs) to study the behavior of daily precipitation in the present and by the end of the 21st century (2079 to 2099) to assess possible changes under RCPs 4.5 and 8.5. The regional model is capable of representing relatively well the extreme precipitation indices for current climate, but there is some difficulties in performing a proper validation since the observed databases disagree significantly. Future projections show significant changes in most extreme indices. Rnn generally tend to increase, especially under RCP8.5. More significant changes are projected for the long-term period, under RCP8.5, which shows a pronounced R30 enhancement over northern states. CDD tends

  18. Scenario Planning in Higher Education.

    ERIC Educational Resources Information Center

    Rieley, James

    Scenario planning can help institutions change the mental models used in planning to achieve a focus on the long-term future, rather than on the immediate future. While institutional survival depends upon the ability to detect and adapt to critical changes in the environment, all institutions face a wide range of potential future scenarios. By…

  19. Tidal Signals In GOCE Measurements And Time-GCM

    NASA Astrophysics Data System (ADS)

    Hausler, K.; Hagan, M. E.; Lu, G.; Doornbos, E.; Bruinsma, S.; Forbes, J. M.

    2013-12-01

    In this paper we investigate tidal signatures in GOCE measurements during 15-24 November 2009 and complementary simulations with the Thermosphere-Ionosphere- Mesosphere-Electrodynamics General Circulation Model (TIME-GCM). The TIME-GCM simulations are driven by inputs that represent the prevailing solar and geomagnetic conditions along with tidal and planetary waves applied at the lower boundary (ca. 30km). For this pilot study, the resultant TIME-GCM densities are analyzed in two ways: 1) we use results along the GOCE orbital track, to calculate ascending/descending orbit longitude- latitude density difference and sum maps for direct comparison with the GOCE diagnostics, and 2) we conduct a complete analysis of TIME-GCM results to unambiguously characterize the simulated atmospheric tides and to attribute the observed longitude variations to specific tidal components. TIME-GCM captures some but not all of the observed longitudinal variability. The good data- model agreement for wave-2, wave-3, and wave-4 suggests that thermospheric impacts can be attributed to the DE1, DE2, DE3, S0, SE1, and SE2 tides. Discrepancies between TIME-GCM and GOCE results are most prominent in the wave-1 variations, and suggest that further refinement of the lower boundary forcing is necessary before we extend our analysis and interpretation to densities associated with the remainder of the GOCE mission.

  20. Climate change impact and potential adaptation strategies under alternate realizations of climate scenarios for three major crops in Europe

    NASA Astrophysics Data System (ADS)

    Donatelli, Marcello; Srivastava, Amit Kumar; Duveiller, Gregory; Niemeyer, Stefan; Fumagalli, Davide

    2015-07-01

    This study presents an estimate of the effects of climate variables and CO2 on three major crops, namely wheat, rapeseed and sunflower, in EU27 Member States. We also investigated some technical adaptation options which could offset climate change impacts. The time-slices 2000, 2020 and 2030 were chosen to represent the baseline and future climate, respectively. Furthermore, two realizations within the A1B emission scenario proposed by the Special Report on Emissions Scenarios (SRES), from the ECHAM5 and HadCM3 GCM, were selected. A time series of 30 years for each GCM and time slice were used as input weather data for simulation. The time series were generated with a stochastic weather generator trained over GCM-RCM time series (downscaled simulations from the ENSEMBLES project which were statistically bias-corrected prior to the use of the weather generator). GCM-RCM simulations differed primarily for rainfall patterns across Europe, whereas the temperature increase was similar in the time horizons considered. Simulations based on the model CropSyst v. 3 were used to estimate crop responses; CropSyst was re-implemented in the modelling framework BioMA. The results presented in this paper refer to abstraction of crop growth with respect to its production system, and consider growth as limited by weather and soil water. How crop growth responds to CO2 concentrations; pests, diseases, and nutrients limitations were not accounted for in simulations. The results show primarily that different realization of the emission scenario lead to noticeably different crop performance projections in the same time slice. Simple adaptation techniques such as changing sowing dates and the use of different varieties, the latter in terms of duration of the crop cycle, may be effective in alleviating the adverse effects of climate change in most areas, although response to best adaptation (within the techniques tested) differed across crops. Although a negative impact of climate

  1. Ecological and geographical analysis of the distribution of the mountain tapir (Tapirus pinchaque) in Ecuador: importance of protected areas in future scenarios of global warming.

    PubMed

    Ortega-Andrade, H Mauricio; Prieto-Torres, David A; Gómez-Lora, Ignacio; Lizcano, Diego J

    2015-01-01

    In Ecuador, Tapirus pinchaque is considered to be critically endangered. Although the species has been registered in several localities, its geographic distribution remains unclear, and the effects of climate change and current land uses on this species are largely unknown. We modeled the ecological niche of T. pinchaque using MaxEnt, in order to assess its potential adaptation to present and future climate change scenarios. We evaluated the effects of habitat loss due by current land use, the ecosystem availability and importance of Ecuadorian System of Protected Areas into the models. The model of environmental suitability estimated an extent of occurrence for species of 21,729 km2 in all of Ecuador, mainly occurring along the corridor of the eastern Ecuadorian Andes. A total of 10 Andean ecosystems encompassed ~98% of the area defined by the model, with herbaceous paramo, northeastern Andean montane evergreen forest and northeastern Andes upper montane evergreen forest being the most representative. When considering the effect of habitat loss, a significant reduction in model area (~17%) occurred, and the effect of climate change represented a net reduction up to 37.86%. However, the synergistic effect of both climate change and habitat loss, given current land use practices, could represent a greater risk in the short-term, leading to a net reduction of 19.90 to 44.65% in T. pinchaque's potential distribution. Even under such a scenarios, several Protected Areas harbor a portion (~36 to 48%) of the potential distribution defined by the models. However, the central and southern populations are highly threatened by habitat loss and climate change. Based on these results and due to the restricted home range of T. pinchaque, its preference for upland forests and paramos, and its small estimated population size in the Andes, we suggest to maintaining its current status as Critically Endangered in Ecuador. PMID:25798851

  2. Ecological and Geographical Analysis of the Distribution of the Mountain Tapir (Tapirus pinchaque) in Ecuador: Importance of Protected Areas in Future Scenarios of Global Warming

    PubMed Central

    Ortega-Andrade, H. Mauricio; Prieto-Torres, David A.; Gómez-Lora, Ignacio; Lizcano, Diego J.

    2015-01-01

    In Ecuador, Tapirus pinchaque is considered to be critically endangered. Although the species has been registered in several localities, its geographic distribution remains unclear, and the effects of climate change and current land uses on this species are largely unknown. We modeled the ecological niche of T. pinchaque using MaxEnt, in order to assess its potential adaptation to present and future climate change scenarios. We evaluated the effects of habitat loss due by current land use, the ecosystem availability and importance of Ecuadorian System of Protected Areas into the models. The model of environmental suitability estimated an extent of occurrence for species of 21,729 km2 in all of Ecuador, mainly occurring along the corridor of the eastern Ecuadorian Andes. A total of 10 Andean ecosystems encompassed ~98% of the area defined by the model, with herbaceous paramo, northeastern Andean montane evergreen forest and northeastern Andes upper montane evergreen forest being the most representative. When considering the effect of habitat loss, a significant reduction in model area (~17%) occurred, and the effect of climate change represented a net reduction up to 37.86%. However, the synergistic effect of both climate change and habitat loss, given current land use practices, could represent a greater risk in the short-term, leading to a net reduction of 19.90 to 44.65% in T. pinchaque’s potential distribution. Even under such a scenarios, several Protected Areas harbor a portion (~36 to 48%) of the potential distribution defined by the models. However, the central and southern populations are highly threatened by habitat loss and climate change. Based on these results and due to the restricted home range of T. pinchaque, its preference for upland forests and paramos, and its small estimated population size in the Andes, we suggest to maintaining its current status as Critically Endangered in Ecuador. PMID:25798851

  3. Scenario 2000: Intercepting the Future.

    ERIC Educational Resources Information Center

    Keough, Katherine E.

    This monograph (developed along with an accompanying slide presentation) is designed to stimulate the creative thinking of educational policymakers in response to the massive and rapid social upheavals occurring in the economy and at home--and consequently among the students themselves. After a brief introductory overview of these changes and…

  4. Educational Scenarios for Digital Futures

    ERIC Educational Resources Information Center

    Schuck, Sandy; Aubusson, Peter

    2010-01-01

    This article frames and theorises the nature of adolescents' informal experiences in Web 2.0 environments to articulate their fit or misfit with current conceptions of school education and educational practices. Adolescents are increasingly active Web 2.0 users. However, the traditional research and education communities have been slow to respond…

  5. Resilience to temperature and pH changes in a future climate change scenario in six strains of the polar diatom Fragilariopsis cylindrus

    NASA Astrophysics Data System (ADS)

    Pančić, M.; Hansen, P. J.; Tammilehto, A.; Lundholm, N.

    2015-07-01

    The effects of ocean acidification and increased temperature on physiology of six strains of the polar diatom Fragilariopsis cylindrus from Greenland were investigated. Experiments were performed under manipulated pH levels (8.0, 7.7, 7.4, and 7.1) and different temperatures (1, 5, and 8 °C) to simulate changes from present to plausible future levels. Each of the 12 scenarios was run for 7 days, and a significant interaction between temperature and pH on growth was detected. By combining increased temperature and acidification, the two factors counterbalanced each other, and therefore no effect on the growth rates was found. However, the growth rates increased with elevated temperatures by ~ 20-50 % depending on the strain. In addition, a general negative effect of increasing acidification on growth was observed. At pH 7.7 and 7.4, the growth response varied considerably among strains. However, a more uniform response was detected at pH 7.1 with most of the strains exhibiting reduced growth rates by 20-37 % compared to pH 8.0. It should be emphasized that a significant interaction between temperature and pH was found, meaning that the combination of the two parameters affected growth differently than when considering one at a time. Based on these results, we anticipate that the polar diatom F. cylindrus will be unaffected by changes in temperature and pH within the range expected by the end of the century. In each simulated scenario, the variation in growth rates among the strains was larger than the variation observed due to the whole range of changes in either pH or temperature. Climate change may therefore not affect the species as such, but may lead to changes in the population structure of the species, with the strains exhibiting high phenotypic plasticity, in terms of temperature and pH tolerance towards future conditions, dominating the population.

  6. Impact assessment of combined climate and management scenarios on groundwater resources and associated wetland (Majorca, Spain)

    NASA Astrophysics Data System (ADS)

    Candela, Lucila; von Igel, Wolf; Javier Elorza, F.; Aronica, Giuseppe

    2009-10-01

    SummaryClimate change impact on a groundwater dependent wetland and natural recharge has been investigated in the Inca-Sa Pobla coastal aquifer for the year 2025. Temperature and precipitation based on the downscaled output from a general circulation model (GCM) was coupled to a groundwater model to estimate the impacts of climate change and management practices on groundwater. Management practices were based on changes in the volume of water extracted for agricultural and domestic purposes. Climate change impacts on the hydrogeological system were based on downscaled HadCM3 outputs for future medium-high (A2) and medium-low (B2) greenhouse gas scenarios developed by the IPCC [IPCC, 2001. Climate change 2001: the scientific basis. In: Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., Van Der Linden, P.J., Dai, X., Maskell, K., Johnson, C.A. (Eds.), Contribution of Working Group I to the Third Assessment Reports of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 881 pp]. Assessment of the impacts on the water level of the wetland were carried out by estimating the flow rate of springs discharging from the aquifer obtained by changes of agricultural land use and water supply allocation and variation of recharge according climate scenarios. The greatest reduction in recharge was observed in scenario A2 (-21%), while recharge in scenario B2 remained relatively unchanged (-4%). However, as uncertainties arising from GCM outputs maybe greater than the differences simulated here results are only indicative of the system response. In order to preserve the spring discharge at its current level (17 Mm 3/yr), which successfully prevents the wetland from drying up, a decrease in groundwater extraction is needed. In addition, the reallocation of agricultural wells is recommended under both scenarios. Spring discharge was affected the most by agricultural wells located near the wetland, as indicated by

  7. Assessing future scenarios for health care waste management using a multi-criteria decision analysis tool: A case study in the Turkish West Black Sea Region.

    PubMed

    Ciplak, Nesli

    2015-08-01

    The aim of this paper is to identify the best possible health care waste management option in the West Black Sea Region by taking into account economic, social, environmental, and technical aspects in the concept of multi-criteria decision analysis. In the scope of this research, three different health care waste management scenarios that consist of different technology alternatives were developed and compared using a decision-making computer software, called Right Choice, by identifying various criteria, measuring them, and ranking their relative importance from the point of key stakeholders. The results of the study show that the decentralized autoclave technology option coupled with the disposal through land-filling with energy recovery has potential to be an optimum option for health care waste management system, and an efficient health care waste segregation scheme should be given more attention by the authorities in the region. Furthermore, the discussion of the results points out multidisciplinary approach and the equilibrium between social, environmental, economic, and technical criteria. The methodology used in this research was developed in order to enable the decision makers to gain an increased perception of a decision problem. In general, the results and remarks of this study can be used as a basis of future planning and anticipation of needs for investment in the area of health care waste management in the region and also in developing countries that are dealing with the similar waste management problems. PMID:26211633

  8. Co-Producing Future Climate Scenarios for Adaptation and Management in the Gunnison Basin: An Integrative Framework for Developing Usable Climate Information

    NASA Astrophysics Data System (ADS)

    Clifford, K. R.; Rangwala, I.; Travis, W.

    2013-12-01

    This research aims to develop usable climate information for decision making at local scales using an integrative framework, involving interactions between scientists and stakeholders, that facilitates a better understanding of the stakeholder's climate needs and sensitivities. We present a study from the Gunnison Basin, located in southwestern Colorado, that uses this framework to understand the climate needs of a diverse group of stakeholders, which includes ranchers, recreationalists, scientists, and public land managers, and how this local knowledge can be effectively utilized in creating usable future climate narratives for community level decision-making. We present an analysis based on detailed interviews of stakeholders which examine how elements of (1) spatial (e.g., region, watershed, slope) and temporal (e.g., seasonal, generational) scales, (2) features (e.g., snowpack, monsoon, avalanches, dust on snow, frost, storms), (3) processes (e.g., precipitation, runoff, evapotranspiration, fire, population dynamics, pest invasions), and (4) outcomes (e.g., harvest, income, user-days) can be incorporated with physical models and scientific understanding to identify the stakeholder's climate needs, and develop effective climate scenarios for decision making.

  9. Multi-model GCM ensemble simulations of idealized tropical cyclones

    NASA Astrophysics Data System (ADS)

    Reed, K. A.; Jablonowski, C.; Ullrich, P. A.; Kent, J.; Lauritzen, P. H.; Taylor, M.; Nair, R.

    2013-12-01

    As General Circulation Models (GCMs) are now capable of running operationally at higher horizontal resolutions than ever before, such models have become a tool of choice for the evaluation of tropical cyclones in current and future climate conditions. GCM horizontal resolutions in the range between 10-50 km are now computationally achievable for seasonal or multi-year simulations and there is growing confidence that high-resolution global models provide reliable representations of many characteristics of tropical storms. However, model design choices are an important source of uncertainty. This is widely documented for physical parameterization suites, but it is less recognized for the dynamical component of models and the physics-dynamics coupling. The study offers a first look into these structural uncertainties. This study focuses on dynamical core model intercomparisons. In particular, it looks at the results of the Dynamical Core Model Intercomparison Project (DCMIP) that took place at the National Center for Atmospheric Research (NCAR) in August 2012. The analysis is focused on the evaluation of an idealized tropical storm and uncertainties triggered by the choice of model dynamical core formulation in various global models. These models include the four dynamical cores available in NCAR's Community Atmosphere Model (Finite-Volume (FV), Spectral-Element (SE) and the Eulerian and semi-Lagrangian spectral transform dynamical cores), the NOAA model FIM, the model ICON (Max-Planck Institute and German Weather Service), GFDL's FV3 model on the cubed-sphere grid, ECMWF's Integrated Forecasting System (IFS) and the model PUMA from the University of Hamburg.

  10. A Fully Coupled GCM Study of a "Geoengineered World"

    NASA Astrophysics Data System (ADS)

    Lunt, D. J.; Ridgwell, A.; Valdes, P. J.

    2007-12-01

    Several schemes have been proposed with the explicit aim of modifying the future climate of the planet as a mitigation strategy in a response to anthropogenic global warming. A selection of these, including the placing of mirrors at the Lagrange point between the Earth and the Sun, and the injection of aerosols into the stratosphere, have at their heart the goal of effectively reducing the incoming solar radiation near the top of the atmosphere, to "balance" increased surface warming due to increased greenhouse gas concentrations. However, it is likely that an exact balance of the radiative forcing would be very difficult to obtain, due to differing spatial characteristics of the solar forcing applied (greatest at the equator and least at the poles) and that of long wave absorption (more equal over all latitudes), as well as differing temporal characteristics of the radiative forcings. In this study, we model the different climate expected in a "Geoengineered World", compared to the "Preindustrial World", if both have the same global annual mean surface temperature. We use the UK Met Office GCM, HadCM3L, and carry out 5 simulations: Pre-industrial, Doubled CO2, Quadrupled CO2, and 2 simulations in which the increased CO2 is balanced in the global annual mean by a reduction in incoming solar radiation. The "strength" of mirror/aerosol required is calculated using an iterative procedure, until balance is obtained. Our results indicate significant differences between the Geoengineered World and the Preindustrial World, despite near identical global annual mean surface temperatures. In particular, we obtain relatively large differences in surface temperature over mid-latitude continental regions, in particular North America, and significant changes in upwelling on the West African tropical coast. The drying of the American Mid-West, and impacts on Africa fisheries, are likely to have significant consequences for global and local food production.

  11. Multimodel ensemble projection of precipitation in eastern China under A1B emission scenario

    NASA Astrophysics Data System (ADS)

    Niu, Xiaorui; Wang, Shuyu; Tang, Jianping; Lee, Dong-Kyou; Gao, Xuejie; Wu, Jia; Hong, Songyou; Gutowski, William J.; McGregor, John

    2015-10-01

    As part of the Regional Climate Model Intercomparison Project for Asia, future precipitation projection in China is constructed using five regional climate models (RCMs) driven by the same global climate model (GCM) of European Centre/Hamburg version 5. The simulations cover both the control climate (1978-2000) and future projection (2041-2070) under the Intergovernmental Panel on Climate Change emission scenario A1B. For the control climate, the RCMs have an advantage over the driving GCM in reproducing the summer mean precipitation distribution and the annual cycle. The biases in simulating summer precipitation mainly are caused by the deficiencies in reproducing the low-level circulation, such as the western Pacific subtropical high. In addition, large inter-RCM differences exist in the summer precipitation simulations. For the future climate, consistent and inconsistent changes in precipitation between the driving GCM and the nested RCMs are observed. Similar changes in summer precipitation are projected by RCMs over western China, but model behaviors are quite different over eastern China, which is dominated by the Asian monsoon system. The inter-RCM difference of rainfall changes is more pronounced in spring over eastern China. North China and the southern part of South China are very likely to experience less summer rainfall in multi-RCM mean (MRM) projection, while limited credibility in increased summer rainfall MRM projection over the lower reaches of the Yangtze River Basin. The inter-RCM variability is the main contributor to the total uncertainty for the lower reaches of the Yangtze River Basin and South China during 2041-2060, while lowest for Northeast China, being less than 40%.

  12. A Regional-Scale Evaluation on Environmental Stability Conditions for Convective Rain under Climate Change from Super-High-Resolution GCM Simulations

    NASA Astrophysics Data System (ADS)

    Takemi, T.; Nomura, S.; Oku, Y.; Ishikawa, H.

    2011-12-01

    Understanding and forecasting of convective rain due to intense thunderstorms, which develop under conditions both with and without significant synoptic-scale and/or mesoscale forcings, are critical in dealing with disaster prevention/mitigation and developing urban planning appropriate for disaster management. Thunderstorms rapidly develop even during the daytimes of fair weather conditions without any external forcings, and sometimes become strong enough to induce local-scale meteorological disasters such as torrential rain, flush flooding, high winds, and tornadoes/gusts. With the growing interests in climate change, future changes in the behavior of such convectively generated extreme events have gained scientific and societal interests. This study conducted the regional-scale evaluations on the environmental stability conditions for convective rain that develops under synoptically undisturbed, summertime conditions by using the outputs of super-high-resolution AGCM simulations, at a 20-km resolution, for the present, the near-future, and the future climates under global warming with IPCC A1B emission scenario. The GCM, MRI-AGCM3.2S, was developed by Meteorological Research Institute of Japan Meteorological Agency under the KAKUSHIN program funded by the Ministry of Education, Culture, Sports, Science, and Technology of Japan. The climate simulation outputs that were used in this study corresponded to three 25-year periods: 1980-2004 for the present climate; 2020-2044 for the near-future climate; and 2075-2099 for the future climate. The Kanto Plain that includes the Tokyo metropolitan area was chosen as the study area, since the Tokyo metropolitan area is one of the largest metropolises in the world and is vulnerable to extreme weather events. Therefore, one of the purposes of this study was to examine how regional-scale evaluations are performed from the super-high-resolution GCM outputs. After verifying the usefulness of the GCM present-climate outputs with

  13. The effect of global warming scenarios on soybean and peanut yields in the Coastal Plain region of Georgia

    SciTech Connect

    Laitta, M.T.; Huebner, N.J.

    1996-09-01

    This study is an evaluation of peanut and soybean yield in the Coastal Plain of Georgia as a function of seasonal water deficit scenarios. An analytical model of the Thornthwaite water balance model, based on historical temperature and precipitation data, is used to evaluate the probable response of crop productivity to climate changes in selected counties in South Georgia. The input of temperature and precipitation values for each site is based on the results of three general circulation models (GCM), which were regionally tailored to the Southeastern United States. A regression analysis was preformed to establish a numerical relationship between historical yield and moisture deficits. This model, in association with projected GCM model deficits, was used to predict future crop yields. Our results showed that given all GCM models evaluated, deficit periods for the selected sites will increase both the intensity and duration droughts in the southeastern U.S. Of the two crops analyzed, it was found that soybeans showed a higher sensitivity to moisture deficits than did peanuts.

  14. Regional climate modeling of heat stress, frost, and water stress events in the agricultural region of Southwest Western Australia under the current climate and future climate scenarios.

    NASA Astrophysics Data System (ADS)

    Kala, Jatin; Lyons, Tom J.; Abbs, Deborah J.; Foster, Ian J.

    2010-05-01

    Heat stress, frost, and water stress events have significant impacts on grain quality and production within the agricultural region (wheat-belt) of Southwest Western Australia (SWWA) (Cramb, 2000) and understanding how the frequency and intensity of these events will change in the future is crucial for management purposes. Hence, the Regional Atmospheric Modeling System (Pielke et al, 1992) (RAMS Version 6.0) is used to simulate the past 10 years of the climate of SWWA at a 20 km grid resolution by down-scaling the 6-hourly 1.0 by 1.0 degree National Center for Environmental Prediction Final Analyses from December 1999 to Present. Daily minimum and maximum temperatures, as well as daily rainfall are validated against observations. Simulations of future climate are carried out by down-scaling the Commonwealth Scientific and Industrial Research Organization (CSIRO) Mark 3.5 General Circulation Model (Gordon et al, 2002) for 10 years (2046-2055) under the SRES A2 scenario using the Cubic Conformal Atmospheric Model (CCAM) (McGregor and Dix, 2008). The 6-hourly CCAM output is then downscaled to a 20 km resolution using RAMS. Changes in extreme events are discussed within the context of the continued viability of agriculture in SWWA. Cramb, J. (2000) Climate in relation to agriculture in south-western Australia. In: The Wheat Book (Eds W. K. Anderson and J. R. Garlinge). Bulletin 4443. Department of Agriculture, Western Australia. Gordon, H. B., Rotstayn, L. D., McGregor, J. L., Dix, M. R., Kowalczyk, E. A., O'Farrell, S. P., Waterman, L. J., Hirst, A. C., Wilson, S. G., Collier, M. A., Watterson, I. G., and Elliott, T. I. (2002). The CSIRO Mk3 Climate System Model [Electronic publication]. Aspendale: CSIRO Atmospheric Research. (CSIRO Atmospheric Research technical paper; no. 60). 130 p McGregor, J. L., and Dix, M. R., (2008) An updated description of the conformal-cubic atmospheric model. High Resolution Simulation of the Atmosphere and Ocean, Hamilton, K. and Ohfuchi

  15. Mars methane emission and transport scenarios using the GEM-Mars GCM

    NASA Astrophysics Data System (ADS)

    Neary, Lori; Daerden, Frank; Kaminski, J. W.; McConnell, J. C.

    2010-05-01

    The observation of methane (Formisano et al., 2004; Krasnopolsky et al., 2004; Mumma et al., 2009) in the Martian atmosphere has raised questions about its source and origin as well as its chemical behaviour. The photochemical lifetime of methane is on the order of several hundred years which would give a well-mixed, uniform distribution but measurements suggest locally enhanced "plumes". The GEM-Mars three-dimensional global chemistry-climate model is used to investigate the possible emission rates and lifetime of methane. The model simulations have a horizontal resolution of 4x4 degrees with 101 vertical levels up to approximately 140 km. References Formisano, V., S. Atreya, T. Encrenaz, N. Ignatiev, and M. Giuranna (2004), Detection of Methane in the Atmosphere of Mars, Science 306, 1758 (2004). Krasnopolsky, V. A., J. P. Maillard, and T. C. Owen (2004), Icarus 172, 537. Mumma, M.J., G.L. Villanueva, R.E. Novak, T. Hewagama, B.P. Bonev, M.A. DiSanti, A.M. Mandell, and M.D. Smith (2009), Strong Release of Methane on Mars in Northern Summer 2003. Science, 2009. 323: p. 1041-1045.

  16. Mitigation of Coral Reef Warming Across the Central Pacific by the Equatorial Undercurrent: A Past and Future Divide

    PubMed Central

    Karnauskas, Kristopher B.; Cohen, Anne L.; Gove, Jamison M.

    2016-01-01

    Global climate models (GCMs) predict enhanced warming and nutrient decline across the central tropical Pacific as trade winds weaken with global warming. Concurrent changes in circulation, however, have potential to mitigate these effects for equatorial islands. The implications for densely populated island nations, whose livelihoods depend on ecosystem services, are significant. A unique suite of in situ measurements coupled with state-of-the-art GCM simulations enables us to quantify the mitigation potential of the projected circulation change for three coral reef ecosystems under two future scenarios. Estimated historical trends indicate that over 100% of the large-scale warming to date has been offset locally by changes in circulation, while future simulations predict a warming mitigation effect of only 5–10% depending on the island. The pace and extent to which GCM projections overwhelm historical trends will play a key role in defining the fate of marine ecosystems and island communities across the tropical Pacific. PMID:26880042

  17. Mitigation of Coral Reef Warming Across the Central Pacific by the Equatorial Undercurrent: A Past and Future Divide.

    PubMed

    Karnauskas, Kristopher B; Cohen, Anne L; Gove, Jamison M

    2016-01-01

    Global climate models (GCMs) predict enhanced warming and nutrient decline across the central tropical Pacific as trade winds weaken with global warming. Concurrent changes in circulation, however, have potential to mitigate these effects for equatorial islands. The implications for densely populated island nations, whose livelihoods depend on ecosystem services, are significant. A unique suite of in situ measurements coupled with state-of-the-art GCM simulations enables us to quantify the mitigation potential of the projected circulation change for three coral reef ecosystems under two future scenarios. Estimated historical trends indicate that over 100% of the large-scale warming to date has been offset locally by changes in circulation, while future simulations predict a warming mitigation effect of only 5-10% depending on the island. The pace and extent to which GCM projections overwhelm historical trends will play a key role in defining the fate of marine ecosystems and island communities across the tropical Pacific. PMID:26880042

  18. Mitigation of Coral Reef Warming Across the Central Pacific by the Equatorial Undercurrent: A Past and Future Divide

    NASA Astrophysics Data System (ADS)

    Karnauskas, Kristopher B.; Cohen, Anne L.; Gove, Jamison M.

    2016-02-01

    Global climate models (GCMs) predict enhanced warming and nutrient decline across the central tropical Pacific as trade winds weaken with global warming. Concurrent changes in circulation, however, have potential to mitigate these effects for equatorial islands. The implications for densely populated island nations, whose livelihoods depend on ecosystem services, are significant. A unique suite of in situ measurements coupled with state-of-the-art GCM simulations enables us to quantify the mitigation potential of the projected circulation change for three coral reef ecosystems under two future scenarios. Estimated historical trends indicate that over 100% of the large-scale warming to date has been offset locally by changes in circulation, while future simulations predict a warming mitigation effect of only 5-10% depending on the island. The pace and extent to which GCM projections overwhelm historical trends will play a key role in defining the fate of marine ecosystems and island communities across the tropical Pacific.

  19. Development of daily temperature scenarios and their impact on paddy crop evapotranspiration in Kangsabati command area

    NASA Astrophysics Data System (ADS)

    Dhage, P. M.; Raghuwanshi, N. S.; Singh, R.; Mishra, A.

    2016-02-01

    Production of the principal paddy crop in West Bengal state of India is vulnerable to climate change due to limited water resources and strong dependence on surface irrigation. Therefore, assessment of impact of temperature scenarios on crop evapotranspiration (ETc) is essential for irrigation management in Kangsabati command (West Bengal). In the present study, impact of the projected temperatures on ETc was studied under climate change scenarios. Further, the performance of the bias correction and spatial downscaling (BCSD) technique was compared with the two well-known downscaling techniques, namely, multiple linear regression (MLR) and Kernel regression (KR), for the projections of daily maximum and minimum air temperatures for four stations, namely, Purulia, Bankura, Jhargram, and Kharagpur. In National Centers for Environmental Prediction (NCEP) and General Circulation Model (GCM), 14 predictors were used in MLR and KR techniques, whereas maximum and minimum surface air temperature predictor of CanESM2 GCM was used in BCSD technique. The comparison results indicated that the performance of the BCSD technique was better than the MLR and KR techniques. Therefore, the BCSD technique was used to project the future temperatures of study locations with three Representative Concentration Pathway (RCP) scenarios for the period of 2006-2100. The warming tendencies of maximum and minimum temperatures over the Kangsabati command area were projected as 0.013 and 0.014 °C/year under RCP 2.6, 0.015 and 0.023 °C/year under RCP 4.5, and 0.056 and 0.061 °C/year under RCP 8.5 for 2011-2100 period, respectively. As a result, kharif (monsoon) crop evapotranspiration demand of Kangsabati reservoir command (project area) will increase by approximately 10, 8, and 18 % over historical demand under RCP 2.6, 4.5, and 8.5 scenarios, respectively.

  20. Develop Plan for Analysis of the Effluent from GCM Production.

    SciTech Connect

    Nenoff, Tina M.; Mowry, Curtis D.

    2015-08-24

    This milestone is focused on developing a plan for the analysis of the effluent from the Sandia low temperature sintering Bi-Si-Zn oxide glass composite material (GCM) waste form for the long term storage of iodine and its capture materials.

  1. Comparison of a very-fine-resolution GCM with RCM dynamical downscaling in simulating climate in China

    NASA Astrophysics Data System (ADS)

    Guo, Donglin; Wang, Huijun

    2016-05-01

    Regional climate simulation can generally be improved by using an RCM nested within a coarser-resolution GCM. However, whether or not it can also be improved by the direct use of a state-of-the-art GCM with very fine resolution, close to that of an RCM, and, if so, which is the better approach, are open questions. These questions are important for understanding and using these two kinds of simulation approaches, but have not yet been investigated. Accordingly, the present reported work compared simulation results over China from a very-fine-resolution GCM (VFRGCM) and from RCM dynamical downscaling. The results showed that: (1) The VFRGCM reproduces the climatologies and trends of both air temperature and precipitation, as well as inter-monthly variations of air temperature in terms of spatial pattern and amount, closer to observations than the coarse-resolution version of the GCM. This is not the case, however, for the inter-monthly variations of precipitation. (2) The VFRGCM captures the climatology, trend, and inter-monthly variation of air temperature, as well as the trend in precipitation, more reasonably than the RCM dynamical downscaling method. (3) The RCM dynamical downscaling method performs better than the VFRGCM in terms of the climatology and inter-monthly variation of precipitation. Overall, the results suggest that VFRGCMs possess great potential with regard to their application in climate simulation in the future, and the RCM dynamical downscaling method is still dominant in terms of regional precipitation simulation.

  2. Downscaling socio-economic prospective scenarios with a participatory approach for assessing the possible impacts of future land use and cover changes on the vulnerability of societies to mountain risks

    NASA Astrophysics Data System (ADS)

    Grémont, Marine; Houet, Thomas

    2015-04-01

    Due to the peculiarities of their landscapes and topography, mountain areas bring together a large range of socio-economic activities whose sustainability is likely to be jeopardised by projected global changes. Disturbance of hydro-meteorological processes will alter slope stability and affect mountain hazards occurrence. Meanwhile, socio-economic transformations will influence land use and cover changes (LUCC), which in turn will affect both hazards occurrence and hazards consequences on buildings, infrastructures and societies. Already faced with recurrent natural hazards, mountain areas will have to cope with increasing natural risks in the future. Better understanding the pathways through which future socio-economic changes might influence LUCC at local scale is thus a crucial step to assess accurately the vulnerability and adaptive capacity of societies to mountain risks in a global change context. Scientists face two main issues in assessing spatially explicit impacts of socio-economic scenarios in mountainous landscapes. First, modelling LUCC at local scale still faces many challenges related to past (observed) LUCC and those to consider in the future in terms of dynamics and processes. Second, downscaling global socio-economic scenarios so that they provide useful input for local LUCC models requires a thorough analysis of local social dynamics and economic drivers at stake, which falls short with current practices. Numerous socio-economic prospective scenarios have recently been developed at regional, national and international scales. They mostly rely on literature reviews and expert workshops carried out through global sectoral analysis (e.g. agriculture, forestry or industry) but only few of these exercises attempt to decline global scenarios at smaller scales confronting global vision with information gathered from the field and stakeholders. Yet, vulnerability assessments are more useful when undertaken at local scales that are relevant to

  3. Coupled fvGCM-GCE Modeling System, 3D Cloud-Resolving Model and Cloud Library

    NASA Technical Reports Server (NTRS)

    Tao, Wei-Kuo

    2005-01-01

    Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud-resolving models (CRMs) agree with observations better than traditional singlecolumn models in simulating various types of clouds and cloud systems from Merent geographic locations. Current and future NASA satellite programs can provide cloud, precipitation, aerosol and other data at very fine spatial and temporal scales. It requires a coupled global circulation model (GCM) and cloudscale model (termed a super-parameterization or multiscale modeling framework, MMF) to use these satellite data to improve the understanding of the physical processes that are responsible for the variation in global and regional climate and hydrological systems. The use of a GCM will enable global coverage, and the use of a CRM will allow for better and more sophisticated physical parameteridon NASA satellite and field campaign cloud related datasets can provide initial conditions as well as validation for both the MMF and CRMs. A seed fund is available at NASA Goddard to build a MMF based on the 2D Goddard cumulus Ensemble (GCE) model and the Goddard finite volume general circulation model (fvGCM). A prototype MMF in being developed and production nms will be conducted at the beginning of 2005. In this talk, I will present: (1) A brief review on GCE model and its applications on precipitation processes, (2) The Goddard MMF and the major difference between two existing MMFs (CSU MMF and Goddard MMF), (3) A cloud library generated by Goddard MMF, and 3D GCE model, and (4) A brief discussion on the GCE model on developing a global cloud simulator.

  4. Coupled fvGCM-GCE Modeling System, TRMM Latent Heating and Cloud Library

    NASA Technical Reports Server (NTRS)

    Tao, Wei-Kuo

    2004-01-01

    Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud-resolving models (CRMs) agree with observations better than traditional single-column models in simulating various types of clouds and cloud systems from different geographic locations. Current and future NASA satellite programs can provide cloud, precipitation, aerosol and other data at very fine spatial and temporal scales. It requires a coupled global circulation model (GCM) and cloud-scale model (termed a super-parameterization or multi-scale modeling framework, MMF) to use these satellite data to imiprove the understanding of the physical processes that are responsible for the variation in global and regional climate and hydrological systems. The use of a GCM will enable global coverage, and the use of a CRM will allow for better and more sophisticated physical parameterization. NASA satellite and field campaign cloud related datasets can provide initial conditions as well as validation for both the MMF and CRMs. A seed fund is available at NASA Goddard to build a MMF based on the 2D GCE model and the Goddard finite volume general circulation model (fvGCM). A prototype MMF will be developed by the end of 2004 and production runs will be conducted at the beginning of 2005. The purpose of this proposal is to augment the current Goddard MMF and other cloud modeling activities. I this talk, I will present: (1) A summary of the second Cloud Modeling Workshop took place at NASA Goddard, (2) A summary of the third TRMM Latent Heating Workshop took place at Nara Japan, (3) A brief discussion on the Goddard research plan of using Weather Research Forecast (WRF) model, and (4) A brief discussion on the GCE model on developing a global cloud simulator.

  5. Coupled fvGCM-GCE Modeling System: TRMM Latent Heating and Cloud Library

    NASA Technical Reports Server (NTRS)

    Tao, Wei-Kuo

    2005-01-01

    Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud-resolving models (CRMs) agree with observations better than traditional single-column models in simulating various types of clouds and cloud systems from different geographic locations. Current and future NASA satellite programs can provide cloud, precipitation, aerosol and other data at very fine spatial and temporal scales. It requires a coupled global circulation model (GCM) and cloud-scale model (termed a super-parameterization or multi-scale modeling framework, MMF) to use these satellite data to improve the understanding of the physical processes that are responsible for the variation in global and regional climate and hydrological systems. The use of a GCM will enable global coverage, and the use of a CRM will allow for better and more sophisticated physical parameterization. NASA satellite and field campaign cloud related datasets can provide initial conditions as well as validation for both the MMF and CRMs. A seed fund is available at NASA Goddard to build a MMF based on the 2D GCE model and the Goddard finite volume general circulation model (fvGCM). A prototype MMF will be developed by the end of 2004 and production runs will be conducted at the beginning of 2005. The purpose of this proposal is to augment the current Goddard MMF and other cloud modeling activities. In this talk, I will present: (1) A summary of the second Cloud Modeling Workshop took place at NASA Goddard, (2) A summary of the third TRMM Latent Heating Workshop took place at Nara Japan, (3) A brief discussion on the GCE model on developing a global cloud simulator.

  6. Coupled fvGCM-GCE Modeling System, 3D Cloud-Resolving Model and Cloud Library

    NASA Technical Reports Server (NTRS)

    Tao, Wei-Kuo

    2005-01-01

    Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud- resolving models (CRMs) agree with observations better than traditional single-column models in simulating various types of clouds and cloud systems from different geographic locations. Current and future NASA satellite programs can provide cloud, precipitation, aerosol and other data at very fine spatial and temporal scales. It requires a coupled global circulation model (GCM) and cloud-scale model (termed a super-parameterization or multi-scale modeling framework, MMF) to use these satellite data to improve the understanding of the physical processes that are responsible for the variation in global and regional climate and hydrological systems. The use of a GCM will enable global coverage, and the use of a CRM will allow for better and more sophisticated physical parameterization. NASA satellite and field campaign cloud related datasets can provide initial conditions as well as validation for both the MMF and CRMs. A seed fund is available at NASA Goddard to build a MMF based on the 2D Goddard Cumulus Ensemble (GCE) model and the Goddard finite volume general circulation model (fvGCM). A prototype MMF in being developed and production runs will be conducted at the beginning of 2005. In this talk, I will present: (1) A brief review on GCE model and its applications on precipitation processes, ( 2 ) The Goddard MMF and the major difference between two existing MMFs (CSU MMF and Goddard MMF), (3) A cloud library generated by Goddard MMF, and 3D GCE model, and (4) A brief discussion on the GCE model on developing a global cloud simulator.

  7. Consensus between GCM climate change projections with empirical downscaling: precipitation downscaling over South Africa

    NASA Astrophysics Data System (ADS)

    Hewitson, B. C.; Crane, R. G.

    2006-08-01

    This paper discusses issues that surround the development of empirical downscaling techniques as context for presenting a new approach based on self-organizing maps (SOMs). The technique is applied to the downscaling of daily precipitation over South Africa. SOMs are used to characterize the state of the atmosphere on a localized domain surrounding each target location on the basis of NCEP 6-hourly reanalysis data from 1979 to 2002, and using surface and 700-hPa u and v wind vectors, specific and relative humidities, and surface temperature. Each unique atmospheric state is associated with an observed precipitation probability density function (PDF). Future climate states are derived from three global climate models (GCMs): HadAM3, ECHAM4.5, CSIRO Mk2. In each case, the GCM data are mapped to the NCEP SOMs for each target location and a precipitation value is drawn at random from the associated precipitation PDF. The downscaling approach combines the advantages of a direct transfer function and a stochastic weather generator, and provides an indication of the strength of the regional versus stochastic forcing, as well as a measure of stationarity in the atmosphere-precipitation relationship.The methodology is applied to South Africa. The downscaling reveals a similarity in the projected climate change between the models. Each GCM projects similar changes in atmospheric state and they converge on a downscaled solution that points to increased summer rainfall in the interior and the eastern part of the country, and a decrease in winter rainfall in the Western Cape. The actual GCM precipitation projections from the three models show large areas of intermodel disagreement, suggesting that the model differences may be due to their precipitation parameterization schemes, rather than to basic disagreements in their projections of the changing atmospheric state over South Africa.

  8. Comparison of the PRECIS regional climate model performance using lateral boundary conditions from GCM and reanalysis data over tropical South America

    NASA Astrophysics Data System (ADS)

    McGlone, D.; Vuille, M.

    2010-12-01

    Regional climate modeling over tropical South America has shown some success in improving our understanding of interannual and seasonal climate variability, as well as the spatiotemporal impact of future warming scenarios as provided by the Intergovernmental Panel on Climate Change-Special Report on Emission Scenarios (IPCC-SRES). While global climate models (GCM) are often too coarse to resolve local circulations and the topography of the Andes, the use of high-resolution regional climate models (RCM) over a limited domain can give better spatiotemporal patterns of various variables affecting the climate. It can also better represent the steep topography of the Andes, which should lead to a more accurate simulation of mesoscale circulations. For our study, we use the Hadley Centre Regional Climate Modeling System (HadRM3), PRECIS (Providing REgional Climate for Impact Studies), from 10°N-27°S and 86°W-44°W at 50km x 50km horizontal resolution. Validation of this model with observational data over tropical South America suggests that the model has a considerable wet and cold bias which is amplified near the eastern Andean slope. To further investigate the cause of these shortcomings, two different control runs were simulated using different lateral boundary conditions to investigate the model performance and its dependence on the driving dataset. In the first simulation the lateral boundary conditions were provided by the Hadley Centre Atmospheric Model version 3 (HadAM3), the global driving model. The second simulation is driven by lateral boundary conditions from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis data (ERA-40). Both runs cover a 30 year period from 1961-1990. From these two simulations, we analyze which run is able to produce a more accurate portrayal of the regions temperature and precipitation variability based on observations from CRU. Rotated EOF analysis of precipitation and temperature were performed to extract

  9. Biomass Scenario Model Scenario Library: Definitions, Construction, and Description

    SciTech Connect

    Inman, D.; Vimmerstedt, L.; Bush, B.; Peterson, S.

    2014-04-01

    Understanding the development of the biofuels industry in the United States is important to policymakers and industry. The Biomass Scenario Model (BSM) is a system dynamics model of the biomass-to-biofuels system that can be used to explore policy effects on biofuels development. Because of the complexity of the model, as well as the wide range of possible future conditions that affect biofuels industry development, we have not developed a single reference case but instead developed a set of specific scenarios that provide various contexts for our analyses. The purpose of this report is to describe the scenarios that comprise the BSM scenario library. At present, we have the following policy-focused scenarios in our library: minimal policies, ethanol-focused policies, equal access to policies, output-focused policies, technological diversity focused, and the point-of-production- focused. This report describes each scenario, its policy settings, and general insights gained through use of the scenarios in analytic studies.

  10. On long-term persistence in GCM rainfall simulations: Implications for water resources planning and design

    NASA Astrophysics Data System (ADS)

    Johnson, F.; Sharma, A.

    2012-04-01

    It is well known that GCM precipitation simulations for future climates leave a lot to be desired, as a result of which various strategies have been developed to assist with water resources planning and design. While it is accepted that the simulated precipitation exhibits significant variability across alternate GCMs (leading to a 6% Variable Convergence Score compared to much higher values for other surface atmospheric variables (Johnson and Sharma, 2009)), something less well appreciated is the significant biases and uncertainty GCMs exhibit in their representation of long-term persistence in rainfall. We present here an assessment of the extent of this problem, and some recently developed solutions that allow users to post-process GCM rainfall to allow a more meaningful representation of persistence, leading to future rainfall that is viable for water resources applications where low-frequency variability is important. Our presented approach consists of (a) working with the GCMs that are better able to simulate long-term persistence in their simulations of precipitation and other hydrologically relevant variables (Johnson et al., 2011), and then (b) post-processing the simulations using a recently published Nested Bias Correction (NBC) procedure (Johnson and Sharma, 2012, 2011), that attempts to modify current climate simulations such that their measured lag-dependence attributes at a range of time-scales are reproduced in an un-biased manner post-transformation. Assuming the same post-processing model applies for future climates, this results in future simulations that exhibit long periods of highs and lows so noticeable in historical rainfall (and not so noticeable in raw GCM simulations of the future). The Nested Bias Correction is "Nested" as the correction happens progressively from finer to coarser time scales, the correction involving modulating order one and two moment and persistence attributes, aggregating the corrected series to the next coarser time

  11. Downscaling local extreme temperature changes in south-eastern Australia from the CSIRO Mark2 GCM

    NASA Astrophysics Data System (ADS)

    Schubert, Sascha

    1998-11-01

    Climate impact studies crucially rely on climate change information at high spatial and temporal resolutions. Since the most developed tools for estimating future climate change - the general circulation models (GCMs) - still operate on rather coarse spatial scales, their output has to be downscaled in order to provide the needed high resolution input for climate impact models.In this study, a perfect prognosis approach is employed to downscale daily local temperature extremes at several stations in south-eastern Australia from synoptic scale atmospheric circulation fields. The statistical model combines principal component analysis and linear multiple regression and is suitable to explain a considerable part of both short and long frequency variations of local temperature extremes. Using simulated and observed daily data the regional to local performance of the Mark2 GCM, developed by the Commonwealth Scientific and Industrial Research Organisation (CSIRO), was validated over the Australian region. While the regional temperature extremes simulated under present-day climate conditions are in general agreement with the observed climate, there are highly significant differences on the local scale. The observed daily synoptic scale atmospheric circulation, however, is well reproduced by the GCM. This supports the idea of using these reliably simulated climatic parameters to estimate the changes in local temperature extremes under altered global climate conditions.The downscaling model was applied to synoptic scale atmospheric circulation fields generated by the CSIRO Mark2 GCM under 1×CO2 and 2×CO2 conditions. Compared to the extreme temperature changes simulated by the GCM directly, the downscaled variations are much weaker. Several sources of uncertainty might be causing these differences. Firstly, the statistical model is stationary. Therefore, it is not capable of including changes in the relationships between circulation and local temperature which are likely

  12. Assessment of CMIP5 GCM daily predictor variables for statistical downscaling

    NASA Astrophysics Data System (ADS)

    Mpelasoka, F. S.; Charles, S.; Chiew, F. H.; Fu, G.; Beecham, S.

    2012-04-01

    Assessment of CMIP5 GCM daily predictor variables for statistical downscaling To support adaptation to climate change in the water resource sector in South Australia, downscaled climate projections are being constructed within the Goyder Institute for Water Research - a 5-year multi-million dollar collaborative research partnership between the Government of South Australia, CSIRO and the university sector. Statistical downscaling is a robust approach providing a link between observed (re-analysis) large-scale atmospheric variables (predictors) and local or regional surface climate variables such as daily station rainfall. When applied to outputs of Global Climate Models (GCMs), the credibility of statistically downscaled future projections is dependent on the ability of GCMs to reproduce the re-analysis data statistics for the current climate. The main objective of this study is thus to assess daily predictor variables simulated by phase Five of Coupled Model Inter-comparison Project (CMIP5) GCMs, while acknowledging that an optimal measure of overall GCM performance does not exist and the usefulness of any assessment approach varies with the intended application. Here we assess GCMs by comparing cumulative probability density functions of predictor variables against the re-analysis data using the Kolmogorov test metric. Historical daily data simulations from 12 GCMs (BCC-csm1, CanESM2, CSIRO-Mk3.6.0, GFDL-ESM2M, HadGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MIROC4h, MIROC-ESM-CHEM, MPI-ESM-LR, MRI-CGCM3, and NorESM1-M) for the period 1961-2005 are used. The variables assessed include specific/relative humidity, winds, geopotential heights at different atmospheric levels and sea-level pressure over the Australian region (7-45oS, 100-160oE). We present a summary of results for the South Australia region quantifying the ability of these GCMs in reproducing the mean state and the relative frequency of extremes for these predictors. The complexity and challenges in GCM

  13. Sequencing and Analysis of the Pseudomonas fluorescens GcM5-1A Genome: A Pathogen Living in the Surface Coat of Bursaphelenchus xylophilus.

    PubMed

    Feng, Kai; Li, Ronggui; Chen, Yingnan; Zhao, Boguang; Yin, Tongming

    2015-01-01

    It is known that several bacteria are adherent to the surface coat of pine wood nematode (Bursaphelenchus xylophilus), but their function and role in the pathogenesis of pine wilt disease remains debatable. The Pseudomonas fluorescens GcM5-1A is a bacterium isolated from the surface coat of pine wood nematodes. In previous studies, GcM5-1A was evident in connection with the pathogenicity of pine wilt disease. In this study, we report the de novo sequencing of the GcM5-1A genome. A 600-Mb collection of high-quality reads was obtained and assembled into sequence contigs spanning a 6.01-Mb length. Sequence annotation predicted 5,413 open reading frames, of which 2,988 were homologous to genes in the other four sequenced P. fluorescens isolates (SBW25, WH6, Pf0-1 and Pf-5) and 1,137 were unique to GcM5-1A. Phylogenetic studies and genome comparison revealed that GcM5-1A is more closely related to SBW25 and WH6 isolates than to Pf0-1 and Pf-5 isolates. Towards study of pathogenesis, we identified 79 candidate virulence factors in the genome of GcM5-1A, including the Alg, Fl, Waa gene families, and genes coding the major pathogenic protein fliC. In addition, genes for a complete T3SS system were identified in the genome of GcM5-1A. Such systems have proved to play a critical role in subverting and colonizing the host organisms of many gram-negative pathogenic bacteria. Although the functions of the candidate virulence factors need yet to be deciphered experimentally, the availability of this genome provides a basic platform to obtain informative clues to be addressed in future studies by the pine wilt disease research community. PMID:26517369

  14. Sequencing and Analysis of the Pseudomonas fluorescens GcM5-1A Genome: A Pathogen Living in the Surface Coat of Bursaphelenchus xylophilus

    PubMed Central

    Chen, Yingnan; Zhao, Boguang; Yin, Tongming

    2015-01-01

    It is known that several bacteria are adherent to the surface coat of pine wood nematode (Bursaphelenchus xylophilus), but their function and role in the pathogenesis of pine wilt disease remains debatable. The Pseudomonas fluorescens GcM5-1A is a bacterium isolated from the surface coat of pine wood nematodes. In previous studies, GcM5-1A was evident in connection with the pathogenicity of pine wilt disease. In this study, we report the de novo sequencing of the GcM5-1A genome. A 600-Mb collection of high-quality reads was obtained and assembled into sequence contigs spanning a 6.01-Mb length. Sequence annotation predicted 5,413 open reading frames, of which 2,988 were homologous to genes in the other four sequenced P. fluorescens isolates (SBW25, WH6, Pf0-1 and Pf-5) and 1,137 were unique to GcM5-1A. Phylogenetic studies and genome comparison revealed that GcM5-1A is more closely related to SBW25 and WH6 isolates than to Pf0-1 and Pf-5 isolates. Towards study of pathogenesis, we identified 79 candidate virulence factors in the genome of GcM5-1A, including the Alg, Fl, Waa gene families, and genes coding the major pathogenic protein fliC. In addition, genes for a complete T3SS system were identified in the genome of GcM5-1A. Such systems have proved to play a critical role in subverting and colonizing the host organisms of many gram-negative pathogenic bacteria. Although the functions of the candidate virulence factors need yet to be deciphered experimentally, the availability of this genome provides a basic platform to obtain informative clues to be addressed in future studies by the pine wilt disease research community. PMID:26517369

  15. Changes in Extreme Events: from GCM Output to Social, Economic and Ecological Impacts

    NASA Astrophysics Data System (ADS)

    Tebaldi, C.; Meehl, G. A.

    2006-12-01

    Extreme events can deeply affect social and natural systems. The current generation of global climate model is producing information that can be directly used to characterize future changes in extreme events, and through a further step their impacts, despite their still relatively coarse resolution. It is important to define extreme indicators consistently with what we expect GCM to be able to represent reliably. We use two examples from our work, heat waves and frost days, that well describe different aspects of the analysis of extremes from GCM output. Frost days are "mild extremes" and their definition and computation is straightforward. GCMs can represent them accurately and display a strong consistent signal of change. The impacts of these changes will be extremely relevant for ecosystems and agriculture. Heat waves do not have a standard definition. On the basis of historical episodes we isolate characteristics that were responsible for the worst effects on human health, for example, and analyze these characteristics in model simulations, validating the model's historical simulations. The changes in these characteristics can then be easily translated in expected differential impacts on public health. Work in progress goes in the direction of better characterization of "heat waves" taking into account jointly a set of variables like maximum and minimum temperatures and humidity, better addressing the biological vulnerabilities of the populations at risk.

  16. Modeling of Sub-Grid Heterogeneity and its Impact on GCM Global Radiation Balance

    NASA Technical Reports Server (NTRS)

    Lacis, Andrew; Cairns, B.; Rossow, W. B.

    1999-01-01

    The spatial and temporal variability of high, low, and mid-level clouds is obtained from ISCCP D1 data. Monthly mean global maps of the observed cloud variability are used to re-scale GCM prognostic cloud optical depths and radiative parameters via the Monte Carlo cloud heterogeneity parameterization that utilizes the existing plane-parallel GCM radiative transfer model to compute radiative fluxes for inhomogeneous cloud distributions. The GCM radiative fluxes at TOA and the ground surface are then compared to ERBE and GEBA results. These comparisons show that including sub-grid cloud variability in the GCM radiative model improves agreement between the GCM radiative energy budget components and observations,

  17. Quantifying the effects of oil shocks on long-term public debt: A review of empirical data and a scenario analysis of future projections

    NASA Astrophysics Data System (ADS)

    McMichael, Jillian Taylor

    Various authors have shown that each oil shock in the past 40 years has had statistically significant impacts on subsequent macroeconomic activity in the United States. Through these economic effects, oil shocks affect Federal revenues and expenditures and hence public debt. Published Federal budget scenarios do not currently reflect these impacts of oil shocks. I synthesize, in this paper, literature quantifying the impact of oil price increases on GDP growth and use that information to modify current long-term Federal budget models to present scenarios of how oil shocks are likely to affect long-term Federal debt. I argue that modeling the impact of oil price increases on long-term public debt could inform public policies, particularly those relating to Federal investments in energy conservation. Key Words: crude oil, oil shock, oil price spike, oil shock, Federal debt, debt projections, Congressional Budget Office

  18. Future groundwater extraction scenarios for an aquifer in a semiarid environment: case study of Guadalupe Valley Aquifer, Baja California, Northwest Mexico.

    PubMed

    Campos-Gaytan, Jose Ruben; Kretzschmar, Thomas; Herrera-Oliva, Claudia Soledad

    2014-11-01

    Semiarid northwestern Mexico presents a growing water demand produced by agricultural and domestic requirements during the last two decades. The community of Guadalupe Valley and the city of Ensenada rely on groundwater pumping from the local aquifer as its sole source of water supply. This dependency has resulted in an imbalance between groundwater pumpage and natural recharge. A two-dimensional groundwater flow model was applied to the Guadalupe Valley Aquifer, which was calibrated and validated for the period 1984-2005. The model analysis verified that groundwater levels in the region are subject to steep declines due to decades of intensive groundwater exploitation for agricultural and domestic purposes. The calibrated model was used to assess the effects of different water management scenarios for the period 2007-2025. If the base case (status quo) scenario continues, groundwater levels are in a continuous drawdown trend. Some wells would run dry by August 2017, and water demand may not be met without incurring in an overdraft. The optimistic scenario implies the achievement of the mean groundwater recharge and discharge. Groundwater level depletion could be stopped and restored. The sustainable scenario implies the reduction of current extraction (up to about 50 %), when groundwater level depletion could be stopped. A reduction in current extraction mitigates water stress in the aquifer but cannot solely reverse declining water tables across the region. The combination of reduced current extraction and an implemented alternative solution (such as groundwater artificial recharge), provides the most effective measure to stabilize and reverse declining groundwater levels while meeting water demands in the region. PMID:25086715

  19. Incorporating future change into current conservation planning: Evaluating tidal saline wetland migration along the U.S. Gulf of Mexico coast under alternative sea-level rise and urbanization scenarios

    USGS Publications Warehouse

    Enwright, Nicholas M.; Griffith, Kereen T.; Osland, Michael J.

    2015-01-01

    In this study, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, quantified the potential for landward migration of tidal saline wetlands along the U.S. Gulf of Mexico coast under alternative future sea-level rise and urbanization scenarios. Our analyses focused exclusively on tidal saline wetlands (that is, mangrove forests, salt marshes, and salt flats), and we combined these diverse tidal saline wetland ecosystems into a single grouping, “tidal saline wetland.” Collectively, our approach and findings can provide useful information for scientists and environmental planners working to develop future-focused adaptation strategies for conserving coastal landscapes and the ecosystem goods and services provided by tidal saline wetlands. The primary product of this work is a public dataset that identifies locations where landward migration of tidal saline wetlands is expected to occur under alternative future sea-level rise and urbanization scenarios. In addition to identifying areas where landward migration of tidal saline wetlands is possible because of the absence of barriers, these data also identify locations where landward migration of these wetlands could be prevented by barriers associated with current urbanization, future urbanization, and levees.

  20. A review of recent research on improvement of physical parameterizations in the GLA GCM

    NASA Technical Reports Server (NTRS)

    Sud, Y. C.; Walker, G. K.

    1990-01-01

    A systematic assessment of the effect of a series of improvements in physical parameterizations of the Goddard Laboratory for Atmospheres (GLA) general circulation model (GCM) are summarized. The implementation of the Simple Biosphere Model (SiB) in the GCM is followed by a comparison of SiB GCM simulations with that of the earlier slab soil hydrology GCM (SSH-GCM) simulations. In the Sahelian context, the biogeophysical component of desertification was analyzed for SiB-GCM simulations. Cumulus parameterization is found to be the primary determinant of the organization of the simulated tropical rainfall of the GLA GCM using Arakawa-Schubert cumulus parameterization. A comparison of model simulations with station data revealed excessive shortwave radiation accompanied by excessive drying and heating to the land. The perpetual July simulations with and without interactive soil moisture shows that 30 to 40 day oscillations may be a natural mode of the simulated earth atmosphere system.