Science.gov

Sample records for climate impact assessment

  1. Regional Climate Tutorial: Assessing Regional Climate Change and Its Impacts

    NASA Astrophysics Data System (ADS)

    Barron, E.; Fisher, A.

    2002-05-01

    Recent scientific progress now enables credible projections of global changes in climate over long time periods. But people will experience global climate change where they live and work, and have difficulty thinking of a future beyond their grandchildren's lifetime. Although the task of projecting climate change and its impacts is far more challenging for regional and relatively near-term time scales, these are the scales at which actions most easily can be taken to moderate negative impacts. This tutorial will summarize what is known about projecting changes in regional climate, and about assessing the impacts for sectors such as forests, agriculture, fresh water quantity and quality, coastal zones, human health, and ecosystems. The Mid-Atlantic Regional Assessment (MARA) is used to provide context and illustrate how adaptation within the region and feedback from other regions influence the impacts that might be experienced.

  2. Integrated Climate Change Impacts Assessment in California

    NASA Astrophysics Data System (ADS)

    Cayan, D. R.; Franco, G.; Meyer, R.; Anderson, M.; Bromirski, P. D.

    2014-12-01

    This paper summarizes lessons learned from an ongoing series of climate change assessments for California, conducted by the scientific community and State and local agencies. A series of three Assessments have considered vulnerability and adaptation issues for both managed and natural systems. California's vulnerability is many faceted, arising because of an exceptionally drought prone climate, open coast and large estuary exposure to sea level rise, sensitive ecosystems and complex human footprint and economy. Key elements of the assessments have been a common set of climate and sea-level rise scenarios, based upon IPCC GCM simulations. Regionalized and localized output from GCM projections was provided to research teams investigating water supply, agriculture, coastal resources, ecosystem services, forestry, public health, and energy demand and hydropower generation. The assessment results are helping to investigate the broad range of uncertainty that is inherent in climate projections, and users are becoming better equipped to process an envelope of potential climate and impacts. Some projections suggest that without changes in California's present fresh-water delivery system, serious water shortages would take place, but that technical solutions are possible. Under a warmer climate, wildfire vulnerability is heightened markedly in some areas--estimated increases in burned area by the end of the 21st Century exceed 100% of the historical area burned in much of the forested areas of Northern California Along California coast and estuaries, projected rise in mean sea level will accelerate flooding occurrences, prompting the need for better education and preparedness. Many policymakers and agency personnel in California are factoring in results from the assessments and recognize the need for a sustained assessment process. An ongoing challenge, of course, is to achieve more engagement with a broader community of decision makers, and notably with the private sector.

  3. Qualitative Assessment: Evaluating the Impacts of Climate ...

    EPA Pesticide Factsheets

    The South Fork Nooksack River (South Fork) is located in northwest Washington State and is home to nine species of Pacific salmon, including Nooksack early Chinook (aka, spring Chinook salmon), an iconic species for the Nooksack Indian Tribe. The quantity of salmon in the South Fork, especially spring Chinook salmon, has dramatically declined from historic levels, due primarily to habitat degradation from the legacy impacts of various land uses such as commercial forestry, agriculture, flood control, and transportation infrastructure. Segments of the South Fork and some of its tributaries exceed temperature criteria established for the protection of cold-water salmonid populations, and were listed on Washington State’s Clean Water Act (CWA) 303(d) list of impaired waterbodies. High water temperatures in the South Fork are detrimental to fish and other native species that depend on cool, clean, well-oxygenated water. Of the nine salmon species, three have been listed as threatened under the federal Endangered Species Act (ESA) and are of high priority to restoration efforts in the South Fork—spring Chinook salmon, summer steelhead trout, and bull trout. Growing evidence shows that climate change will exacerbate legacy impacts. This qualitative assessment is a comprehensive analysis of climate change impacts on freshwater habitat and Pacific salmon in the South Fork. It also evaluates the effectiveness of restoration tools that address Pacific salmon recovery.

  4. Assessing the impacts of climate change on natural resource systems

    SciTech Connect

    Frederick, K.D.; Rosenberg, N.J.

    1994-11-30

    This volume is a collection of papers addressing the theme of potential impacts of climatic change. Papers are entitled Integrated Assessments of the Impacts of Climatic Change on Natural Resources: An Introductory Editorial; Framework for Integrated Assessments of Global Warming Impacts; Modeling Land Use and Cover as Part of Global Environmental Change; Assessing Impacts of Climatic Change on Forests: The State of Biological Modeling; Integrating Climatic Change and Forests: Economic and Ecological Assessments; Environmental Change in Grasslands: Assessment using Models; Assessing the Socio-economic Impacts of Climatic Change on Grazinglands; Modeling the Effects of Climatic Change on Water Resources- A Review; Assessing the Socioeconomic Consequences of Climate Change on Water Resources; and Conclusions, Remaining Issues, and Next Steps.

  5. Towards a comprehensive climate impacts assessment of solar geoengineering

    SciTech Connect

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; Gerten, Dieter; Caminade, Cyril; Gosling, Simon N.; Hendy, Erica J.; Kassie, Belay T.; Kissling, W. Daniel; Muri, Helene; Oschlies, Andreas; Smith, Steven J.

    2016-11-23

    Here, despite a growing literature on the projected physical climate responses to solar geoengineering — i.e. proposals to cool the planet by increasing the planetary albedo — there is no clear picture of the subsequent impacts of such a modified climate on natural and human systems such as agriculture, health, water resources, and ecosystems. Here we argue that engaging the climate impacts research community is necessary to evaluate and communicate how solar geoengineering might reduce some risks, exacerbate others, and give rise to novel risks. We review the current state of knowledge on consequences of solar geoengineering and conclude that a thorough assessment of its impacts can proceed by building upon the frameworks developed for assessing impacts of climate change. However, the climate response to solar geoengineering will depend on the form under consideration and the manner in which it is deployed, presenting a novel challenge for the climate impacts research community.

  6. Towards a comprehensive climate impacts assessment of solar geoengineering

    DOE PAGES

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; ...

    2016-11-23

    Here, despite a growing literature on the projected physical climate responses to solar geoengineering — i.e. proposals to cool the planet by increasing the planetary albedo — there is no clear picture of the subsequent impacts of such a modified climate on natural and human systems such as agriculture, health, water resources, and ecosystems. Here we argue that engaging the climate impacts research community is necessary to evaluate and communicate how solar geoengineering might reduce some risks, exacerbate others, and give rise to novel risks. We review the current state of knowledge on consequences of solar geoengineering and conclude thatmore » a thorough assessment of its impacts can proceed by building upon the frameworks developed for assessing impacts of climate change. However, the climate response to solar geoengineering will depend on the form under consideration and the manner in which it is deployed, presenting a novel challenge for the climate impacts research community.« less

  7. Towards a comprehensive climate impacts assessment of solar geoengineering: TOWARDS A CLIMATE IMPACTS ASSESSMENT OF SOLAR GEOENGINEERING

    SciTech Connect

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; Gerten, Dieter; Caminade, Cyril; Gosling, Simon N.; Hendy, Erica J.; Kassie, Belay T.; Kissling, W. Daniel; Muri, Helene; Oschlies, Andreas; Smith, Steven J.

    2017-01-01

    Despite a growing literature on the projected physical climate responses to solar geoengineering — i.e. proposals to cool the planet by increasing the planetary albedo — there is no clear picture of the subsequent impacts of such a modified climate on natural and human systems such as agriculture, health, water resources, and ecosystems. Here we argue that engaging the climate impacts research community is necessary to evaluate and communicate how solar geoengineering might reduce some risks, exacerbate others, and give rise to novel risks. We review the current state of knowledge on consequences of solar geoengineering and conclude that a thorough assessment of its impacts can proceed by building upon the frameworks developed for assessing impacts of climate change. However, the climate response to solar geoengineering will depend on the form under consideration and the manner in which it is deployed, presenting a novel challenge for the climate impacts research community.

  8. Assessment of climate change impact on Eastern Washington agriculture

    Technology Transfer Automated Retrieval System (TEKTRAN)

    An assessment of the potential impact of climate change and the concurrent increase of atmospheric CO2 concentration on eastern Washington State agriculture was conducted. Climate projections from four selected general circulation models (GCM) were chosen, and the assessment included the crops with ...

  9. Assessing the observed impact of anthropogenic climate change

    NASA Astrophysics Data System (ADS)

    Hansen, Gerrit; Stone, Dáithí

    2016-05-01

    Impacts of recent regional changes in climate on natural and human systems are documented across the globe, yet studies explicitly linking these observations to anthropogenic forcing of the climate are scarce. Here we provide a systematic assessment of the role of anthropogenic climate change for the range of impacts of regional climate trends reported in the IPCC’s Fifth Assessment Report. We find that almost two-thirds of the impacts related to atmospheric and ocean temperature can be confidently attributed to anthropogenic forcing. In contrast, evidence connecting changes in precipitation and their respective impacts to human influence is still weak. Moreover, anthropogenic climate change has been a major influence for approximately three-quarters of the impacts observed on continental scales. Hence the effects of anthropogenic emissions can now be discerned not only globally, but also at more regional and local scales for a variety of natural and human systems.

  10. Impact of weather and climate scenarios on conservation assessment outcomes

    Technology Transfer Automated Retrieval System (TEKTRAN)

    This paper reviews selected watershed studies of the Conservation Effects Assessment Project (CEAP) and interprets findings from the perspective of potential climate change impacts on conservation outcomes. Primary foci are runoff, soil erosion, sediment transport, watershed sediment yield, and asso...

  11. Climate Change Impact Assessments for International Market Systems (CLIMARK)

    NASA Astrophysics Data System (ADS)

    Winkler, J. A.; Andresen, J.; Black, J.; Bujdoso, G.; Chmielewski, F.; Kirschke, D.; Kurlus, R.; Liszewska, M.; Loveridge, S.; Niedzwiedz, T.; Nizalov, D.; Rothwell, N.; Tan, P.; Ustrnul, Z.; von Witzke, H.; Zavalloni, C.; Zhao, J.; Zhong, S.

    2012-12-01

    The vast majority of climate change impact assessments evaluate how local or regional systems and processes may be affected by a future climate. Alternative strategies that extend beyond the local or regional scale are needed when assessing the potential impacts of climate change on international market systems, including agricultural commodities. These industries have multiple production regions that are distributed worldwide and are likely to be differentially impacted by climate change. Furthermore, for many industries and market systems, especially those with long-term climate-dependent investments, temporal dynamics need to be incorporated into the assessment process, including changing patterns of international trade, consumption and production, and evolving adaptation strategies by industry stakeholder groups. A framework for conducting climate change assessments for international market systems, developed as part of the CLIMARK (Climate Change and International Markets) project is outlined, and progress toward applying the framework for an impact assessment for the international tart cherry industry is described. The tart cherry industry was selected for analysis in part because tart cherries are a perennial crop requiring long-term investments by the producer. Components of the project include the preparation of fine resolution climate scenarios, evaluation of phenological models for diverse production regions, the development of a yield model for tart cherry production, new methods for incorporating individual decision making and adaptation options into impact assessments, and modification of international trade models for use in impact studies. Innovative aspects of the project include linkages between model components and evaluation of the mega-uncertainty surrounding the assessment outcomes. Incorporation of spatial and temporal dynamics provides a more comprehensive evaluation of climate change impacts and an assessment product of potentially greater

  12. Methodology for qualitative uncertainty assessment of climate impact indicators

    NASA Astrophysics Data System (ADS)

    Otto, Juliane; Keup-Thiel, Elke; Rechid, Diana; Hänsler, Andreas; Pfeifer, Susanne; Roth, Ellinor; Jacob, Daniela

    2016-04-01

    The FP7 project "Climate Information Portal for Copernicus" (CLIPC) is developing an integrated platform of climate data services to provide a single point of access for authoritative scientific information on climate change and climate change impacts. In this project, the Climate Service Center Germany (GERICS) has been in charge of the development of a methodology on how to assess the uncertainties related to climate impact indicators. Existing climate data portals mainly treat the uncertainties in two ways: Either they provide generic guidance and/or express with statistical measures the quantifiable fraction of the uncertainty. However, none of the climate data portals give the users a qualitative guidance how confident they can be in the validity of the displayed data. The need for such guidance was identified in CLIPC user consultations. Therefore, we aim to provide an uncertainty assessment that provides the users with climate impact indicator-specific guidance on the degree to which they can trust the outcome. We will present an approach that provides information on the importance of different sources of uncertainties associated with a specific climate impact indicator and how these sources affect the overall 'degree of confidence' of this respective indicator. To meet users requirements in the effective communication of uncertainties, their feedback has been involved during the development process of the methodology. Assessing and visualising the quantitative component of uncertainty is part of the qualitative guidance. As visual analysis method, we apply the Climate Signal Maps (Pfeifer et al. 2015), which highlight only those areas with robust climate change signals. Here, robustness is defined as a combination of model agreement and the significance of the individual model projections. Reference Pfeifer, S., Bülow, K., Gobiet, A., Hänsler, A., Mudelsee, M., Otto, J., Rechid, D., Teichmann, C. and Jacob, D.: Robustness of Ensemble Climate Projections

  13. Towards a comprehensive climate impacts assessment of solar geoengineering

    SciTech Connect

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; Gerten, Dieter; Caminade, Cyril; Gosling, Simon N.; Hendy, Erica J.; Kassie, Belay T.; Kissling, W. Daniel; Muri, Helene; Oschlies, Andreas; Smith, Steven J.

    2016-11-23

    Despite a growing literature on the climate response to solar geoengineering—proposals to cool the planet by increasing the planetary albedo—there has been little published on the impacts of solar geoengineering on natural and human systems such as agriculture, health, water resources, and ecosystems. An understanding of the impacts of different scenarios of solar geoengineering deployment will be crucial for informing decisions on whether and how to deploy it. Here we review the current state of knowledge about impacts of a solar-geoengineered climate and identify the major research gaps. We suggest that a thorough assessment of the climate impacts of a range of scenarios of solar geoengineering deployment is needed and can be built upon existing frameworks. However, solar geoengineering poses a novel challenge for climate impacts research as the manner of deployment could be tailored to pursue different objectives making possible a wide range of climate outcomes. We present a number of ideas for approaches to extend the survey of climate impacts beyond standard scenarios of solar geoengineering deployment to address this challenge. Reducing the impacts of climate change is the fundamental motivator for emissions reductions and for considering whether and how to deploy solar geoengineering. This means that the active engagement of the climate impacts research community will be important for improving the overall understanding of the opportunities, challenges, and risks presented by solar geoengineering.

  14. Towards a comprehensive climate impacts assessment of solar geoengineering

    DOE PAGES

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; ...

    2016-11-23

    Despite a growing literature on the climate response to solar geoengineering—proposals to cool the planet by increasing the planetary albedo—there has been little published on the impacts of solar geoengineering on natural and human systems such as agriculture, health, water resources, and ecosystems. An understanding of the impacts of different scenarios of solar geoengineering deployment will be crucial for informing decisions on whether and how to deploy it. Here we review the current state of knowledge about impacts of a solar-geoengineered climate and identify the major research gaps. We suggest that a thorough assessment of the climate impacts of amore » range of scenarios of solar geoengineering deployment is needed and can be built upon existing frameworks. However, solar geoengineering poses a novel challenge for climate impacts research as the manner of deployment could be tailored to pursue different objectives making possible a wide range of climate outcomes. We present a number of ideas for approaches to extend the survey of climate impacts beyond standard scenarios of solar geoengineering deployment to address this challenge. Reducing the impacts of climate change is the fundamental motivator for emissions reductions and for considering whether and how to deploy solar geoengineering. This means that the active engagement of the climate impacts research community will be important for improving the overall understanding of the opportunities, challenges, and risks presented by solar geoengineering.« less

  15. Towards a comprehensive climate impacts assessment of solar geoengineering

    NASA Astrophysics Data System (ADS)

    Irvine, Peter J.; Kravitz, Ben; Lawrence, Mark G.; Gerten, Dieter; Caminade, Cyril; Gosling, Simon N.; Hendy, Erica J.; Kassie, Belay T.; Kissling, W. Daniel; Muri, Helene; Oschlies, Andreas; Smith, Steven J.

    2017-01-01

    Despite a growing literature on the climate response to solar geoengineering—proposals to cool the planet by increasing the planetary albedo—there has been little published on the impacts of solar geoengineering on natural and human systems such as agriculture, health, water resources, and ecosystems. An understanding of the impacts of different scenarios of solar geoengineering deployment will be crucial for informing decisions on whether and how to deploy it. Here we review the current state of knowledge about impacts of a solar-geoengineered climate and identify the major research gaps. We suggest that a thorough assessment of the climate impacts of a range of scenarios of solar geoengineering deployment is needed and can be built upon existing frameworks. However, solar geoengineering poses a novel challenge for climate impacts research as the manner of deployment could be tailored to pursue different objectives making possible a wide range of climate outcomes. We present a number of ideas for approaches to extend the survey of climate impacts beyond standard scenarios of solar geoengineering deployment to address this challenge. Reducing the impacts of climate change is the fundamental motivator for emissions reductions and for considering whether and how to deploy solar geoengineering. This means that the active engagement of the climate impacts research community will be important for improving the overall understanding of the opportunities, challenges, and risks presented by solar geoengineering.

  16. Integrated economic and climate projections for impact assessment

    EPA Science Inventory

    We designed scenarios for impact assessment that explicitly address policy choices and uncertainty in climate response. Economic projections and the resulting greenhouse gas emissions for the “no climate policy” scenario and two stabilization scenarios: at 4.5 W/m2 and 3.7 W/m2 b...

  17. Agricultural climate impacts assessment for economic modeling and decision support

    NASA Astrophysics Data System (ADS)

    Thomson, A. M.; Izaurralde, R. C.; Beach, R.; Zhang, X.; Zhao, K.; Monier, E.

    2013-12-01

    A range of approaches can be used in the application of climate change projections to agricultural impacts assessment. Climate projections can be used directly to drive crop models, which in turn can be used to provide inputs for agricultural economic or integrated assessment models. These model applications, and the transfer of information between models, must be guided by the state of the science. But the methodology must also account for the specific needs of stakeholders and the intended use of model results beyond pure scientific inquiry, including meeting the requirements of agencies responsible for designing and assessing policies, programs, and regulations. Here we present methodology and results of two climate impacts studies that applied climate model projections from CMIP3 and from the EPA Climate Impacts and Risk Analysis (CIRA) project in a crop model (EPIC - Environmental Policy Indicator Climate) in order to generate estimates of changes in crop productivity for use in an agricultural economic model for the United States (FASOM - Forest and Agricultural Sector Optimization Model). The FASOM model is a forward-looking dynamic model of the US forest and agricultural sector used to assess market responses to changing productivity of alternative land uses. The first study, focused on climate change impacts on the UDSA crop insurance program, was designed to use available daily climate projections from the CMIP3 archive. The decision to focus on daily data for this application limited the climate model and time period selection significantly; however for the intended purpose of assessing impacts on crop insurance payments, consideration of extreme event frequency was critical for assessing periodic crop failures. In a second, coordinated impacts study designed to assess the relative difference in climate impacts under a no-mitigation policy and different future climate mitigation scenarios, the stakeholder specifically requested an assessment of a

  18. Revealing and reducing uncertainties in climate impact assessments

    NASA Astrophysics Data System (ADS)

    Clark, M. P.

    2015-12-01

    Water resources planning and management involves understanding the vulnerability of water resource systems to a wide range of different stresses. A key responsibility is to identify defensible options for the design and management of systems under an uncertain and changing climate. In the water resources sector this requires defining a range of different climate change narratives in order to evaluate the vulnerability of infrastructure and the effectiveness of different management strategies to climate-related stresses. Recent research is just now beginning to reveal how different methodological choices can impact portrayals of climate risk. We present research showing that the common approaches to climate change assessments in the water sector are affected by substantial uncertainties in methods used for climate downscaling and hydrologic modeling, and suggest that many of these uncertainties are reducible. For example, improving continental scale hydrologic model parameters can reduce one source of uncertainty. We also present research to improve characterization of uncertainty, in order to reduce the extent to which the portrayal of climate change impacts depends on ad hoc methodological choices and provide a holistic estimate of the degree to which the climate change signal emerges from the envelope of uncertainty. We hope that this presentation stimulates discussion on the best practices for climate impact assessments, and ways to improve the robustness of water resources planning under a changing climate.

  19. Uncertainty assessment tool for climate change impact indicators

    NASA Astrophysics Data System (ADS)

    Otto, Juliane; Keup-Thiel, Elke; Jacob, Daniela; Rechid, Diana; Lückenkötter, Johannes; Juckes, Martin

    2015-04-01

    A major difficulty in the study of climate change impact indicators is dealing with the numerous sources of uncertainties of climate and non-climate data . Its assessment, however, is needed to communicate to users the degree of certainty of climate change impact indicators. This communication of uncertainty is an important component of the FP7 project "Climate Information Portal for Copernicus" (CLIPC). CLIPC is developing a portal to provide a central point of access for authoritative scientific information on climate change. In this project the Climate Service Center 2.0 is in charge of the development of a tool to assess the uncertainty of climate change impact indicators. The calculation of climate change impact indicators will include climate data from satellite and in-situ observations, climate models and re-analyses, and non-climate data. There is a lack of a systematic classification of uncertainties arising from the whole range of climate change impact indicators. We develop a framework that intends to clarify the potential sources of uncertainty of a given indicator and provides - if possible - solutions how to quantify the uncertainties. To structure the sources of uncertainties of climate change impact indicators, we first classify uncertainties along a 'cascade of uncertainty' (Reyer 2013). Our cascade consists of three levels which correspond to the CLIPC meta-classification of impact indicators: Tier-1 indicators are intended to give information on the climate system. Tier-2 indicators attempt to quantify the impacts of climate change on biophysical systems (i.e. flood risks). Tier-3 indicators primarily aim at providing information on the socio-economic systems affected by climate change. At each level, the potential sources of uncertainty of the input data sets and its processing will be discussed. Reference: Reyer, C. (2013): The cascade of uncertainty in modeling forest ecosystem responses to environmental change and the challenge of sustainable

  20. Assessing ozone-related health impacts under a changing climate.

    PubMed

    Knowlton, Kim; Rosenthal, Joyce E; Hogrefe, Christian; Lynn, Barry; Gaffin, Stuart; Goldberg, Richard; Rosenzweig, Cynthia; Civerolo, Kevin; Ku, Jia-Yeong; Kinney, Patrick L

    2004-11-01

    Climate change may increase the frequency and intensity of ozone episodes in future summers in the United States. However, only recently have models become available that can assess the impact of climate change on O3 concentrations and health effects at regional and local scales that are relevant to adaptive planning. We developed and applied an integrated modeling framework to assess potential O3-related health impacts in future decades under a changing climate. The National Aeronautics and Space Administration-Goddard Institute for Space Studies global climate model at 4 degrees x 5 degrees resolution was linked to the Penn State/National Center for Atmospheric Research Mesoscale Model 5 and the Community Multiscale Air Quality atmospheric chemistry model at 36 km horizontal grid resolution to simulate hourly regional meteorology and O3 in five summers of the 2050s decade across the 31-county New York metropolitan region. We assessed changes in O3-related impacts on summer mortality resulting from climate change alone and with climate change superimposed on changes in O3 precursor emissions and population growth. Considering climate change alone, there was a median 4.5% increase in O3-related acute mortality across the 31 counties. Incorporating O3 precursor emission increases along with climate change yielded similar results. When population growth was factored into the projections, absolute impacts increased substantially. Counties with the highest percent increases in projected O3 mortality spread beyond the urban core into less densely populated suburban counties. This modeling framework provides a potentially useful new tool for assessing the health risks of climate change.

  1. Arctic Cities and Climate Change: A Geographic Impact Assessment

    NASA Astrophysics Data System (ADS)

    Shiklomanov, N. I.; Streletskiy, D. A.

    2014-12-01

    Arctic climate change is a concern for the engineering community, land-use planners and policy makers as it may have significant impacts on socio-economic development and human activities in the northern regions. A warmer climate has potential for a series of positive economic effects, such as development of maritime transportation, enhanced agricultural production and decrease in energy consumption. However, these potential benefits may be outwaited by negative impacts related to transportation accessibility and stability of existing infrastructure, especially in permafrost regions. Compared with the Arctic zones of other countries, the Russian Arctic is characterized by higher population, greater industrial development and urbanization. Arctic urban areas and associated industrial sites are the location of some of intense interaction between man and nature. However, while there is considerable research on various aspects of Arctic climate change impacts on human society, few address effects on Arctic cities and their related industries. This presentation overviews potential climate-change impacts on Russian urban environments in the Arctic and discusses methodology for addressing complex interactions between climatic, permafrost and socio-economic systems at the range of geographical scales. We also provide a geographic assessment of selected positive and negative climate change impacts affecting several diverse Russian Arctic cities.

  2. Assessment of the health impacts of climate change in Kiribati.

    PubMed

    McIver, Lachlan; Woodward, Alistair; Davies, Seren; Tibwe, Tebikau; Iddings, Steven

    2014-05-14

    Kiribati-a low-lying, resource-poor Pacific atoll nation-is one of the most vulnerable countries in the World to the impacts of climate change, including the likely detrimental effects on human health. We describe the preparation of a climate change and health adaptation plan for Kiribati carried out by the World Health Organization and the Kiribati Ministry of Health and Medical Services, including an assessment of risks to health, sources of vulnerability and suggestions for highest priority adaptation responses. This paper identifies advantages and disadvantages in the process that was followed, lays out a future direction of climate change and health adaptation work in Kiribati, and proposes lessons that may be applicable to other small, developing island nations as they prepare for and adapt to the impacts of climate change on health.

  3. Assessment of the Health Impacts of Climate Change in Kiribati

    PubMed Central

    McIver, Lachlan; Woodward, Alistair; Davies, Seren; Tibwe, Tebikau; Iddings, Steven

    2014-01-01

    Kiribati—a low-lying, resource-poor Pacific atoll nation—is one of the most vulnerable countries in the World to the impacts of climate change, including the likely detrimental effects on human health. We describe the preparation of a climate change and health adaptation plan for Kiribati carried out by the World Health Organization and the Kiribati Ministry of Health and Medical Services, including an assessment of risks to health, sources of vulnerability and suggestions for highest priority adaptation responses. This paper identifies advantages and disadvantages in the process that was followed, lays out a future direction of climate change and health adaptation work in Kiribati, and proposes lessons that may be applicable to other small, developing island nations as they prepare for and adapt to the impacts of climate change on health. PMID:24830452

  4. Using climate model output to assess the impacts of climate change on water resources

    SciTech Connect

    Cushman, R.M.

    1990-01-01

    The use of general circulation models (GCMs) to provide climate data for regional assessments of the impacts of changing climate on water resources stretches the limits of what the models were designed for. Problems that must be addressed include disagreement on a regional scale among GCMs and between the modeled and observed climate; coarse spatial resolution of the models; and simplistic representation of surface hydrology. It is important that continued progress be made in developing the methodology for using GCM output in climate-impact assessments. 18 refs.

  5. Climate Change Impact Assessment of Food- and Waterborne Diseases

    PubMed Central

    Semenza, Jan C.; Herbst, Susanne; Rechenburg, Andrea; Suk, Jonathan E.; Höser, Christoph; Schreiber, Christiane; Kistemann, Thomas

    2011-01-01

    The PubMed and ScienceDirect bibliographic databases were searched for the period of 1998–2009 to evaluate the impact of climatic and environmental determinants on food- and waterborne diseases. The authors assessed 1,642 short and concise sentences (key facts), which were extracted from 722 relevant articles and stored in a climate change knowledge base. Key facts pertaining to temperature, precipitation, water, and food for 6 selected pathogens were scrutinized, evaluated, and compiled according to exposure pathways. These key facts (corresponding to approximately 50,000 words) were mapped to 275 terminology terms identified in the literature, which generated 6,341 connections. These relationships were plotted on semantic network maps to examine the interconnections between variables. The risk of campylobacteriosis is associated with mean weekly temperatures, although this link is shown more strongly in the literature relating to salmonellosis. Irregular and severe rain events are associated with Cryptosporidium sp. outbreaks, while noncholera Vibrio sp. displays increased growth rates in coastal waters during hot summers. In contrast, for Norovirus and Listeria sp. the association with climatic variables was relatively weak, but much stronger for food determinants. Electronic data mining to assess the impact of climate change on food- and waterborne diseases assured a methodical appraisal of the field. This climate change knowledge base can support national climate change vulnerability, impact, and adaptation assessments and facilitate the management of future threats from infectious diseases. In the light of diminishing resources for public health this approach can help balance different climate change adaptation options. PMID:24808720

  6. Designing ecological climate change impact assessments to reflect key climatic drivers.

    PubMed

    Sofaer, Helen R; Barsugli, Joseph J; Jarnevich, Catherine S; Abatzoglou, John T; Talbert, Marian K; Miller, Brian W; Morisette, Jeffrey T

    2017-02-07

    Identifying the climatic drivers of an ecological system is a key step in assessing its vulnerability to climate change. The climatic dimensions to which a species or system is most sensitive - such as means or extremes - can guide methodological decisions for projections of ecological impacts and vulnerabilities. However, scientific workflows for combining climate projections with ecological models have received little explicit attention. We review Global Climate Model (GCM) performance along different dimensions of change and compare frameworks for integrating GCM output into ecological models. In systems sensitive to climatological means, it is straightforward to base ecological impact assessments on mean projected changes from several GCMs. Ecological systems sensitive to climatic extremes may benefit from what we term the 'model space' approach: a comparison of ecological projections based on simulated climate from historical and future time periods. This approach leverages the experimental framework used in climate modeling, in which historical climate simulations serve as controls for future projections. Moreover, it can capture projected changes in the intensity and frequency of climatic extremes, rather than assuming that future means will determine future extremes. Given the recent emphasis on the ecological impacts of climatic extremes, the strategies we describe will be applicable across species and systems. We also highlight practical considerations for the selection of climate models and data products, emphasizing that the spatial resolution of the climate change signal is generally coarser than the grid cell size of downscaled climate model output. Our review illustrates how an understanding of how climate model outputs are derived and downscaled can improve the selection and application of climatic data used in ecological modeling.

  7. Watershed Model Parameterization for Assessing Impacts due to Climate Change

    NASA Astrophysics Data System (ADS)

    Yactayo, G. A.; Bhatt, G.

    2014-12-01

    The Chesapeake Bay (CB) Total Maximum Daily Load (TMDL) program drives water quality policy and management in parts of six states — Delaware, Maryland, New York, Pennsylvania, Virginia, and West Virginia — along with the District of Columbia to achieve water quality standards in the Bay through reductions in nutrient and sediment pollution. The HSPF Watershed Model (WSM) is used as an accounting tool in the development of the TMDL to track progress and guide implementations of best management practices. Published research has shown that precipitation has increased in the US during 20th century by about ten percent, and half of the increase is due to changes in frequency and intensity in the upper tenth percentile of the distribution. Projections from global climate models suggest that these trends are anticipated to continue over the next century. Our analysis of climate data over the last three decades show similar trends in observed precipitation in the CB Watershed. The impact of climate change on the CB TMDL will be examined in a 2017 assessment of progress in the State and Federal partnership of the Chesapeake Bay Program. This is consistent with the CB Executive Order of May 12, 2009 mandates assessment of the impacts of climate change on the CB TMDL. The WSM has a simulation period of more than 3 decades from 1985 to 2011. Over the simulation period precipitation intensity, temperatures, and CO2 levels are increasing. A study conducted by Najjar et al. (2010) that included regional climate projections suggests that pollutant loads in the CB region will increase over the next century. Butcher et al. (2014) demonstrated that a watershed model parameter needs to be adjusted to compensate for the effect of elevated CO2 concentrations on plant transpiration in climate projection applications. This raises the question of whether parameters within a watershed model calibrated using historical climate data are sufficient for assessing hydrologic and water

  8. Cost Analysis of Water Transport for Climate Change Impact Assessment

    NASA Astrophysics Data System (ADS)

    Szaleniec, V.; Buytaert, W.

    2012-04-01

    It is expected that climate change will have a strong impact on water resources worldwide. Many studies exist that couple the output of global climate models with hydrological models to assess the impact of climate change on physical water availability. However, the water resources topology of many regions and especially that of cities can be very complex. Changes in physical water availability do therefore not translate easily into impacts on water resources for cities. This is especially the case for cities with a complex water supply topology, for instance because of geographical barriers, strong gradients in precipitation patterns, or competing water uses. In this study we explore the use of cost maps to enable the inclusion of water supply topologies in climate change impact studies. We use the city of Lima as a case study. Lima is the second largest desert city in the world. Although Peru as a whole has no water shortage, extreme gradients exist. Most of the economic activities including the city of Lima are located in the coastal desert. This region is geographically disconnected from the wet Amazon basin because of the Andes mountain range. Hence, water supply is precarious, provided by a complex combination of high mountain ecosystems including wetlands and glaciers, as well as groundwater aquifers depending on recharge from the mountains. We investigate the feasibility and costs of different water abstraction scenarios and the impact of climate change using cost functions for different resources. The option of building inter basins tunnels across the Andes is compared to the costs of desalinating seawater from the Pacific Ocean under different climate change scenarios and population growth scenarios. This approach yields recommendations for the most cost-effective options for the future.

  9. Assessing the impacts of climatic change on mountain water resources.

    PubMed

    Beniston, Martin; Stoffel, Markus

    2014-09-15

    As the evidence for human induced climate change becomes clearer, so too does the realization that its effects will have impacts on numerous environmental and socio-economic systems. Mountains are recognized as very sensitive physical environments with populations whose histories and current social positions often strain their capacity to accommodate intense and rapid changes to their resource base. It is thus essential to assess the impacts of a changing climate, focusing on the quantity of water originating in mountain regions, particularly where snow and ice melt represent a large streamflow component as well as a local resource in terms of freshwater supply, hydropower generation, or irrigation. Increasing evidence of glacier retreat, permafrost degradation and reduced mountain snowpack has been observed in many regions, thereby suggesting that climate change may seriously affect streamflow regimes. These changes could in turn threaten the availability of water resources for many environmental and economic systems, and exacerbate a range of natural hazards that would compound these impacts. As a consequence, socio-economic structures of downstream living populations would be also impacted, calling for better preparedness and strategies to avoid conflicts of interest between water-dependent economic actors. This paper is thus an introduction to the Special Issue of this journal dedicated to the European Union Seventh Framework Program (EU-FP7) project ACQWA (Assessing Climate Impacts on the Quantity and Quality of WAter), a major European network of scientists that was coordinated by the University of Geneva from 2008 to 2014. The goal of ACQWA has been to address a number of these issues and propose a range of solutions for adaptation to change and to help improve water governance in regions where quantity, seasonality, and perhaps quality of water may substantially change in coming decades.

  10. Assessing Climate Change Impacts on Wildfire Exposure in Mediterranean Areas.

    PubMed

    Lozano, Olga M; Salis, Michele; Ager, Alan A; Arca, Bachisio; Alcasena, Fermin J; Monteiro, Antonio T; Finney, Mark A; Del Giudice, Liliana; Scoccimarro, Enrico; Spano, Donatella

    2016-12-20

    We used simulation modeling to assess potential climate change impacts on wildfire exposure in Italy and Corsica (France). Weather data were obtained from a regional climate model for the period 1981-2070 using the IPCC A1B emissions scenario. Wildfire simulations were performed with the minimum travel time fire spread algorithm using predicted fuel moisture, wind speed, and wind direction to simulate expected changes in weather for three climatic periods (1981-2010, 2011-2040, and 2041-2070). Overall, the wildfire simulations showed very slight changes in flame length, while other outputs such as burn probability and fire size increased significantly in the second future period (2041-2070), especially in the southern portion of the study area. The projected changes fuel moisture could result in a lengthening of the fire season for the entire study area. This work represents the first application in Europe of a methodology based on high resolution (250 m) landscape wildfire modeling to assess potential impacts of climate changes on wildfire exposure at a national scale. The findings can provide information and support in wildfire management planning and fire risk mitigation activities.

  11. Assessing climate change impact by integrated hydrological modelling

    NASA Astrophysics Data System (ADS)

    Lajer Hojberg, Anker; Jørgen Henriksen, Hans; Olsen, Martin; der Keur Peter, van; Seaby, Lauren Paige; Troldborg, Lars; Sonnenborg, Torben; Refsgaard, Jens Christian

    2013-04-01

    Future climate may have a profound effect on the freshwater cycle, which must be taken into consideration by water management for future planning. Developments in the future climate are nevertheless uncertain, thus adding to the challenge of managing an uncertain system. To support the water managers at various levels in Denmark, the national water resources model (DK-model) (Højberg et al., 2012; Stisen et al., 2012) was used to propagate future climate to hydrological response under considerations of the main sources of uncertainty. The DK-model is a physically based and fully distributed model constructed on the basis of the MIKE SHE/MIKE11 model system describing groundwater and surface water systems and the interaction between the domains. The model has been constructed for the entire 43.000 km2 land area of Denmark only excluding minor islands. Future climate from General Circulation Models (GCM) was downscaled by Regional Climate Models (RCM) by a distribution-based scaling method (Seaby et al., 2012). The same dataset was used to train all combinations of GCM-RCMs and they were found to represent the mean and variance at the seasonal basis equally well. Changes in hydrological response were computed by comparing the short term development from the period 1990 - 2010 to 2021 - 2050, which is the time span relevant for water management. To account for uncertainty in future climate predictions, hydrological response from the DK-model using nine combinations of GCMs and RCMs was analysed for two catchments representing the various hydrogeological conditions in Denmark. Three GCM-RCM combinations displaying high, mean and low future impacts were selected as representative climate models for which climate impact studies were carried out for the entire country. Parameter uncertainty was addressed by sensitivity analysis and was generally found to be of less importance compared to the uncertainty spanned by the GCM-RCM combinations. Analysis of the simulations

  12. Recent Extremes in European Climate: Assessment, Case Studies and Impacts

    NASA Astrophysics Data System (ADS)

    Yiou, P.; Vautard, R.; D'Andrea, F.; Cattiaux, J.; Naveau, P.; Ciais, P.; Garnier, E.

    2008-12-01

    During the last centuries and up to the present decade, extreme climate events have certainly had larger economic impacts than any trend of temperature in Europe. In addition to an intrinsic scientific interest, their study is thus essential for society. One of the challenges of their investigation is that, depending on their definition, extreme climate events potentially have a behavior that is not connected to the secular temperature trend in a simple fashion. This presentation will review the statistical assessments of extremes in Europe, focusing on surface temperature, precipitation, and their connections with large-scale features of the atmospheric circulation. In particular, the questions of modeling their severity and frequency will be discussed in the first part of the presentation. I will then give two kinds of examples of European climate extremes: summer heatwaves and droughts, and winter warm waves. The mechanisms leading to such phenomena will be explored, and I will examine some of the impacts on the biosphere that were recently observed. In order to provide a long term perspective of those events, examples of historical droughts in France will be presented and connected with proxy records of temperature. It appears that the mechanisms that are favored for present-day climate might still have been valid during the past centuries. To conclude, new challenges for dynamical and statistical modeling will be explored.

  13. A Framework to Assess the Impacts of Climate Change on ...

    EPA Pesticide Factsheets

    Climate change is projected to alter watershed hydrology and potentially amplify nonpoint source pollution transport. These changes have implications for fish and macroinvertebrates, which are often used as measures of aquatic ecosystem health. By quantifying the risk of adverse impacts to aquatic ecosystem health at the reach-scale, watershed climate change adaptation strategies can be developed and prioritized. The objective of this research was to quantify the impacts of climate change on stream health in seven Michigan watersheds. A process-based watershed model, the Soil and Water Assessment Tool (SWAT), was linked to adaptive neuro-fuzzy inferenced (ANFIS) stream health models. SWAT models were used to simulate reach-scale flow regime (magnitude, frequency, timing, duration, and rate of change) and water quality variables. The ANFIS models were developed based on relationships between the in-stream variables and sampling points of four stream health indicators: the fish index of biotic integrity (IBI), macroinvertebrate family index of biotic integrity (FIBI), Hilsenhoff biotic index (HBI), and number of Ephemeroptera, Plecoptera, and Trichoptera (EPT) taxa. The combined SWAT-ANFIS models extended stream health predictions to all watershed reaches. A climate model ensemble from the Coupled Model Intercomparison Project Phase 5 (CMIP5) was used to develop projections of changes to flow regime (using SWAT) and stream health indicators (using ANFIS) from a ba

  14. Response surfaces for climate change impact assessments in urban areas.

    PubMed

    Semadeni-Davies, A

    2003-01-01

    Assessment of the impacts of climate change in real-world water systems, such as urban drainage networks, is a research priority for IPCC (Intergovernmental Panel of Climate Change). The usual approach is to force a hydrological transformation model with a changed climate scenario. To tackle uncertainty, the model should be run with at least high, middle and low change scenarios. This paper shows the value of response surfaces for displaying multiple simulated responses to incremental changes in air temperature and precipitation. The example given is inflow, related to sewer infiltration, at the Lycksele waste water treatment plant. The range of plausible changes in inflow is displayed for a series of runs for eight GCMs (Global Circulation Model; ACACIA; Carter, 2002, pers. comm.). These runs are summarised by climate envelopes, one for each prediction time-slice (2020, 2050, 2080). Together, the climate envelopes and response surfaces allow uncertainty to be easily seen. Winter inflows are currently sensitive to temperature, but if average temperature rises to above zero, inflow will be most sensitive to precipitation. Spring inflows are sensitive to changes in winter snow accumulation and melt. Inflow responses are highly dependent on the greenhouse gas emission scenario and GCM chosen.

  15. Regional Risk Assessment for climate change impacts on coastal aquifers.

    PubMed

    Iyalomhe, F; Rizzi, J; Pasini, S; Torresan, S; Critto, A; Marcomini, A

    2015-12-15

    Coastal aquifers have been identified as particularly vulnerable to impacts on water quantity and quality due to the high density of socio-economic activities and human assets in coastal regions and to the projected rising sea levels, contributing to the process of saltwater intrusion. This paper proposes a Regional Risk Assessment (RRA) methodology integrated with a chain of numerical models to evaluate potential climate change-related impacts on coastal aquifers and linked natural and human systems (i.e., wells, river, agricultural areas, lakes, forests and semi-natural environments). The RRA methodology employs Multi Criteria Decision Analysis methods and Geographic Information Systems functionalities to integrate heterogeneous spatial data on hazard, susceptibility and risk for saltwater intrusion and groundwater level variation. The proposed approach was applied on the Esino River basin (Italy) using future climate hazard scenarios based on a chain of climate, hydrological, hydraulic and groundwater system models running at different spatial scales. Models were forced with the IPCC SRES A1B emission scenario for the period 2071-2100 over four seasons (i.e., winter, spring, summer and autumn). Results indicate that in future seasons, climate change will cause few impacts on the lower Esino River valley. Groundwater level decrease will have limited effects: agricultural areas, forests and semi-natural environments will be at risk only in a region close to the coastline which covers less than 5% of the total surface of the considered receptors; less than 3.5% of the wells will be exposed in the worst scenario. Saltwater intrusion impact in future scenarios will be restricted to a narrow region close to the coastline (only few hundred meters), and thus it is expected to have very limited effects on the Esino coastal aquifer with no consequences on the considered natural and human systems.

  16. Health impact assessment of climate change in Bangladesh

    SciTech Connect

    Nelson, Deborah Imel

    2003-05-01

    Global climate change (GCC) may have serious and irreversible impacts. Improved methods are needed to predict and quantify health impacts, so that appropriate risk management strategies can be focused on vulnerable areas. The disability-adjusted life year (DALY) is proposed as an effective tool in environmental health impact assessment (HIA). The DALY accounts for years of life lost to premature death and/or morbidity. Both the DALY and the determinants-of-health approach are applied to HIA of GCC in Bangladesh. Based on historical data, a major storm event may result in approximately 290 DALY per 1000 population, including both deaths and injuries, compared to a current all-cause rate of about 280 per 1000 in the region. A more precise result would require a large input of data; however, this level of analysis may be sufficient to rank risks, and to motivate and target risk management efforts.

  17. An Assessment of the Impact of Climate Change in India

    NASA Astrophysics Data System (ADS)

    Nair, K. S.

    2009-09-01

    adaptation, mitigation and post-hazard recovery and resettlement measures. Providing basic necessities such as water, food and power, maintaining public health, implementing protective measures in the coastal zones and modifications in the urban infrastructure, especially in the coastal megacities become expensive. Impact of extremes on rails, roads and building are also becoming a major issue in the coastal zones and urban centres. Industrial sector is facing a threat from the falling reliable supply of water and power. However, procedure for the implementation of the strategies to mitigate the climate change impact and of the policy for the adaptation to climate change is slow. There are several hurdles for this, including various ecological, socio-economic, technical and political issues, alterations of the physical environment, inability of certain habitats and species to adapt to a new environment, abject poverty, lack of awareness, and the inefficient administrative mechanism. A comprehensive assessment of the shifts in regional climate and the impact of climate change on different facets of life in India, and of the current strategies and polices to face such challenges is made in this study. Suggestions for the improvement of the climate policy and adaptation strategy have been provided.

  18. Climate and Agriculture: Model Inter-Comparison for Evaluating the Uncertainties in Climate Change Impact Assessment

    NASA Astrophysics Data System (ADS)

    Geethalakshmi, V.; Lakshmanan, A.; Bhuvaneswari, K.; Rajalakshmi, D.; Sekhar, N. U.; Anbhazhagan, R.; Gurusamy, L.

    2011-12-01

    Presence of large uncertainties in climate models (CM) and in future emission scenarios makes it difficult to predict the long-term climate changes at regional scales. Climate models do a reasonable job of capturing the large-scale aspects of current climate but still contain systematic model errors adding uncertainty to the future projections. Using CM outputs in impact models also cascade the uncertainty in climate change research. A study was undertaken with the objective of evaluating the uncertainty of climate change predictions by comparing the outputs from Regional Climate Models (RCM) and their resultant impact on rice productivity in Bhavani basin of Tamil Nadu, India. Current and future climate data were developed using RCMs viz., RegCM3 and PRECIS considering SRES A1B scenario for 130 years (1971-2100). The RCM outputs were used in DSSAT and EPIC models for assessing the impact of climate change. Results were compared to assess the magnitude of uncertainty in predicting the future climate and the resultant impacts. Comparison of predicted current climate with observed data indicated that RegCM3 under estimates maximum temperature by 1.8 °C while, PRECIS over estimates by 1.1°C over 40 years (1971 - 2010). The minimum temperature was under estimated by both the models, but with varying magnitude (3.8 °C for RegCM3 and 1 °C for PRECIS). RegCM3 over predicted rainfall (14 %), in contrast, PRECIS underpredicted (30.9 %) the same. Future climate projections indicated gradual increase in maximum and minimum temperatures with progress of time. Increase of maximum and minimum temperatures in PRECIS was 3.7oC and 4.2oC respectively and in RegCM3, it was 3.1oC and 3.7oC by 2100. No clear trend could be observed for rainfall other than increase in the quantum compared to current rainfall. Rice yield simulated over Bhavani basin for current and future climate by DSSAT, without CO2 fertilization effect, indicated reduction of 356 and 217 Kg ha-1decade-1 for

  19. Workshop: Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis: Research on Climate Change Impacts and Associated Economic Damages (part 2)

    EPA Pesticide Factsheets

    This is a workshop titled Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis: Research on Climate Change Impacts and Associated Economic Damages (part 2)

  20. Climate Change Impacts and Responses: Societal Indicators for the National Climate Assessment

    NASA Technical Reports Server (NTRS)

    Kenney, Melissa A.; Chen, Robert S.; Maldonado, Julie; Quattrochi, Dale

    2011-01-01

    The Climate Change Impacts and Responses: Societal Indicators for the National Climate Assessment workshop, sponsored by the National Aeronautics and Space Administration (NASA) for the National Climate Assessment (NCA), was held on April 28-29, 2011 at The Madison Hotel in Washington, DC. A group of 56 experts (see list in Appendix B) convened to share their experiences. Participants brought to bear a wide range of disciplinary expertise in the social and natural sciences, sector experience, and knowledge about developing and implementing indicators for a range of purposes. Participants included representatives from federal and state government, non-governmental organizations, tribes, universities, and communities. The purpose of the workshop was to assist the NCA in developing a strategic framework for climate-related physical, ecological, and socioeconomic indicators that can be easily communicated with the U.S. population and that will support monitoring, assessment, prediction, evaluation, and decision-making. The NCA indicators are envisioned as a relatively small number of policy-relevant integrated indicators designed to provide a consistent, objective, and transparent overview of major variations in climate impacts, vulnerabilities, adaptation, and mitigation activities across sectors, regions, and timeframes. The workshop participants were asked to provide input on a number of topics, including: (1) categories of societal indicators for the NCA; (2) alternative approaches to constructing indicators and the better approaches for NCA to consider; (3) specific requirements and criteria for implementing the indicators; and (4) sources of data for and creators of such indicators. Socioeconomic indicators could include demographic, cultural, behavioral, economic, public health, and policy components relevant to impacts, vulnerabilities, and adaptation to climate change as well as both proactive and reactive responses to climate change. Participants provided

  1. Risk-based climate-change impact assessment for the water industry.

    PubMed

    Thorne, O M; Fenner, R A

    2009-01-01

    In response to a rapidly changing and highly variable climate, engineers are being asked to perform climate-change impact assessments on existing water industry systems. There is currently no single method of best practice for engineers to interpret output from global climate models (GCMs) and calculate probabilistic distributions of future climate changes as required for risk-based impact assessments. The simplified climate change impact assessment tool (SCIAT) has been developed to address the specific needs of the water industry and provides a tool to translate climate change projections into 'real world' impacts or for detailed statistical analysis. Through the use of SCIAT, water system operators are provided with knowledge of potential impacts and an associated probability of occurrence, enabling them to make informed, risk-based adaptation and planning decisions. This paper demonstrates the application of SCIAT to the consideration of the impacts of climate change on reservoir water quality under future climate scenarios.

  2. North American Regional Climate Change Assessment Program (NARCCAP): Producing Regional Climate Change Projections for Climate Impacts Studies

    NASA Astrophysics Data System (ADS)

    Arritt, R. W.; Mearns, L.; Anderson, C.; Bader, D.; Buonomo, E.; Caya, D.; Duffy, P.; Elguindi, N.; Giorgi, F.; Gutowski, W.; Held, I.; Nunes, A.; Jones, R.; Laprise, R.; Leung, L. R.; Middleton, D.; Moufouma-Okia, W.; Nychka, D.; Qian, Y.; Roads, J.; Sain, S.; Snyder, M.; Sloan, L.; Takle, E.

    2006-12-01

    The North American Regional Climate Change Assessment Program (NARCCAP) is constructing projections of regional climate change over the coterminous United States and Canada in order to provide climate change information at decision relevant scales. A major goal of NARCCAP is to estimate uncertainties in regional scale projections of future climate by using multiple regional climate models (RCMs) nested within multiple atmosphere-ocean general circulation models (AOGCMs). NARCCAP is using six nested regional climate models at 50 km resolution to dynamically downscale realizations of current climate (1971-2000) and future climate (2041-2070, following the A2 SRES emission scenario) from four AOGCMs. Global time slice simulations, also at 50 km resolution, will be performed using the GFDL AM2.1 and NCAR CAM3 atmospheric models forced by the AOGCM sea surface temperatures and will be compared with results of the regional models. Results from this multiple-RCM, multiple-AOGCM suite will be statistically analyzed to investigate the cascade of uncertainty as one type of model draws information from another. All output will be made available to the climate analysis and climate impacts assessment communities through an archiving and data distribution plan. The climate impacts community will have these data at unprecedented spatial and temporal (hourly to six-hourly) resolution to support decision-relevant evaluations for public policy. As part of our evaluation of uncertainties, simulations are presently being concluded that nest the participating RCMs within reanalyses of observations. These simulations can be viewed as nesting the RCMs within a GCM that is nearly perfect (constrained by available observations), allowing us to separate errors attributable to the RCMs from those attributable to the driving AOGCMs. Results to date indicate that skill is greater in winter than in summer, and greater for temperature than for precipitation. Temperature and precipitation errors

  3. The Impacts of Climate Change on Human Health in the United States: A Scientific Assessment

    EPA Science Inventory

    This assessment strengthens and expands our understanding of climate-related health impacts by providing a more definitive description of climate-related health burdens in the United States. It builds on the 2014 USGCRP National Climate Assessment and reviews and synthesizes key ...

  4. A new climate dataset for systematic assessments of climate change impacts as a function of global warming

    NASA Astrophysics Data System (ADS)

    Heinke, J.; Ostberg, S.; Schaphoff, S.; Frieler, K.; Müller, C.; Gerten, D.; Meinshausen, M.; Lucht, W.

    2013-10-01

    In the ongoing political debate on climate change, global mean temperature change (ΔTglob) has become the yardstick by which mitigation costs, impacts from unavoided climate change, and adaptation requirements are discussed. For a scientifically informed discourse along these lines, systematic assessments of climate change impacts as a function of ΔTglob are required. The current availability of climate change scenarios constrains this type of assessment to a narrow range of temperature change and/or a reduced ensemble of climate models. Here, a newly composed dataset of climate change scenarios is presented that addresses the specific requirements for global assessments of climate change impacts as a function of ΔTglob. A pattern-scaling approach is applied to extract generalised patterns of spatially explicit change in temperature, precipitation and cloudiness from 19 Atmosphere-Ocean General Circulation Models (AOGCMs). The patterns are combined with scenarios of global mean temperature increase obtained from the reduced-complexity climate model MAGICC6 to create climate scenarios covering warming levels from 1.5 to 5 degrees above pre-industrial levels around the year 2100. The patterns are shown to sufficiently maintain the original AOGCMs' climate change properties, even though they, necessarily, utilise a simplified relationships between ΔTglob and changes in local climate properties. The dataset (made available online upon final publication of this paper) facilitates systematic analyses of climate change impacts as it covers a wider and finer-spaced range of climate change scenarios than the original AOGCM simulations.

  5. Choosing and using climate change scenarios for ecological-impact assessments and conservation decisions

    USGS Publications Warehouse

    Amy K. Snover,; Nathan J. Mantua,; Littell, Jeremy; Michael A. Alexander,; Michelle M. McClure,; Janet Nye,

    2013-01-01

    Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment.

  6. Developing a System of National Climate Assessment Indicators to Track Climate Change Impacts, Vulnerabilities, and Preparedness

    NASA Astrophysics Data System (ADS)

    Janetos, A. C.; Kenney, M. A.; Chen, R. S.; Arndt, D.

    2012-12-01

    The National Climate Assessment (NCA) is being conducted under the auspices of the U.S. Global Change Research Program (USGCRP), pursuant to the Global Change Research Act of 1990, Section 106, which requires a report to Congress every 4 years (http://globalchange.gov/what-we-do/assessment/). Part of the vision for the sustained National Climate Assessment (NCA) process is a system of physical, ecological, and societal indicators that communicate key aspects of the physical climate, climate impacts, vulnerabilities, and preparedness for the purpose of informing both decision makers and the public with scientifically valid information that is useful to inform decision-making processes such as the development and implementation of climate adaptation strategies in a particular sector or region. These indicators will be tracked as a part of ongoing assessment activities, with adjustments as necessary to adapt to changing conditions and understanding. The indicators will be reviewed and updated so that the system adapts to new information. The NCA indicator system is not intended to serve as a vehicle for documenting rigorous cause and effect relationships. It is reasonable, however, for it to serve as a guide to those factors that affect the evolution of variability and change in the climate system, the resources and sectors of concern that are affected by it, and how society chooses to respond. Different components of the end-to-end climate issue serve as categories within which to organize an end-to-end system of indicators: Greenhouse Gas Emissions and Sinks Atmospheric Composition Physical Climate Variability and Change Sectors and Resources of Concern Adaptation and Mitigation Responses This framing has several advantages. It can be used to identify the different components of the end-to-end climate issue that both decision-makers and researchers are interested in. It is independent of scale, and therefore allows the indicators themselves to be described at

  7. A health impact assessment framework for assessing vulnerability and adaptation planning for climate change.

    PubMed

    Brown, Helen; Spickett, Jeffery; Katscherian, Dianne

    2014-12-01

    This paper presents a detailed description of an approach designed to investigate the application of the Health Impact Assessment (HIA) framework to assess the potential health impacts of climate change. A HIA framework has been combined with key climate change terminology and concepts. The fundamental premise of this framework is an understanding of the interactions between people, the environment and climate. The diversity and complexity of these interactions can hinder much needed action on the critical health issue of climate change. The objectives of the framework are to improve the methodology for understanding and assessing the risks associated with potential health impacts of climate change, and to provide decision-makers with information that can facilitate the development of effective adaptation plans. While the process presented here provides guidance with respect to this task it is not intended to be prescriptive. As such, aspects of the process can be amended to suit the scope and available resources of each project. A series of working tables has been developed to assist in the collation of evidence throughout the process. The framework has been tested in a number of locations including Western Australia, Solomon Islands, Vanuatu and Nauru.

  8. A Health Impact Assessment Framework for Assessing Vulnerability and Adaptation Planning for Climate Change

    PubMed Central

    Brown, Helen; Spickett, Jeffery; Katscherian, Dianne

    2014-01-01

    This paper presents a detailed description of an approach designed to investigate the application of the Health Impact Assessment (HIA) framework to assess the potential health impacts of climate change. A HIA framework has been combined with key climate change terminology and concepts. The fundamental premise of this framework is an understanding of the interactions between people, the environment and climate. The diversity and complexity of these interactions can hinder much needed action on the critical health issue of climate change. The objectives of the framework are to improve the methodology for understanding and assessing the risks associated with potential health impacts of climate change, and to provide decision-makers with information that can facilitate the development of effective adaptation plans. While the process presented here provides guidance with respect to this task it is not intended to be prescriptive. As such, aspects of the process can be amended to suit the scope and available resources of each project. A series of working tables has been developed to assist in the collation of evidence throughout the process. The framework has been tested in a number of locations including Western Australia, Solomon Islands, Vanuatu and Nauru. PMID:25514146

  9. Health impact assessment of global climate change: expanding on comparative risk assessment approaches for policy making.

    PubMed

    Patz, Jonathan; Campbell-Lendrum, Diarmid; Gibbs, Holly; Woodruff, Rosalie

    2008-01-01

    Climate change is projected to have adverse impacts on public health. Cobenefits may be possible from more upstream mitigation of greenhouse gases causing climate change. To help measure such cobenefits alongside averted disease-specific risks, a health impact assessment (HIA) framework can more comprehensively serve as a decision support tool. HIA also considers health equity, clearly part of the climate change problem. New choices for energy must be made carefully considering such effects as additional pressure on the world's forests through large-scale expansion of soybean and oil palm plantations, leading to forest clearing, biodiversity loss and disease emergence, expulsion of subsistence farmers, and potential increases in food prices and emissions of carbon dioxide to the atmosphere. Investigators must consider the full range of policy options, supported by more comprehensive, flexible, and transparent assessment methods.

  10. A new dataset for systematic assessments of climate change impacts as a function of global warming

    NASA Astrophysics Data System (ADS)

    Heinke, J.; Ostberg, S.; Schaphoff, S.; Frieler, K.; M{ü}ller, C.; Gerten, D.; Meinshausen, M.; Lucht, W.

    2012-11-01

    In the ongoing political debate on climate change, global mean temperature change (ΔTglob) has become the yardstick by which mitigation costs, impacts from unavoided climate change, and adaptation requirements are discussed. For a scientifically informed discourse along these lines systematic assessments of climate change impacts as a function of ΔTglob are required. The current availability of climate change scenarios constrains this type of assessment to a~narrow range of temperature change and/or a reduced ensemble of climate models. Here, a newly composed dataset of climate change scenarios is presented that addresses the specific requirements for global assessments of climate change impacts as a function of ΔTglob. A pattern-scaling approach is applied to extract generalized patterns of spatially explicit change in temperature, precipitation and cloudiness from 19 AOGCMs. The patterns are combined with scenarios of global mean temperature increase obtained from the reduced-complexity climate model MAGICC6 to create climate scenarios covering warming levels from 1.5 to 5 degrees above pre-industrial levels around the year 2100. The patterns are shown to sufficiently maintain the original AOGCMs' climate change properties, even though they, necessarily, utilize a simplified relationships betweenΔTglob and changes in local climate properties. The dataset (made available online upon final publication of this paper) facilitates systematic analyses of climate change impacts as it covers a wider and finer-spaced range of climate change scenarios than the original AOGCM simulations.

  11. Regional Climate Modeling at ZAMG and climate impact assessment for European ecosystems

    NASA Astrophysics Data System (ADS)

    Anders, I.; Zuvela-Aloise, M.; Matulla, C.

    2010-09-01

    The Austrian society, policy, economy and environment request information on changes in the climate during the last years and especially for the near and remote future. Floodings, landslides, snow avalanches and storms belong to the natural hazards that highly impact Austria's socio-economic and environmental systems. In addition to already applied empirical regional modeling at ZAMG there was started dynamical regional climate modeling (RCM) with the COSMOS-CLM (CCLM, http://www.clm-community.eu/) at ZAMG in 2009. The main objective of the Austrian national project "reclip:century" (in cooperation with other Austrian Institutes) is to provide high resolved data sets of climate simulations for the GAR. A one-way double nesting approach is used. The domain used in the first step is Europe with a spatial resolution of 0.44° (50km). Within this simulation the GAR domain is nested having a resolution of 0.09° (10km). The output of these simulations will be evaluated within the project EVACLIM. This is to be done by comparing the output with a variety of regional scale observational datasets. The results of the simulations will be made available to the impact community. Within the international based project HABIT-CHANGE 10km-resolution climate scenarios will be generated. The data sets produced for two different regions the GAR and the Danube Delta - shall be used as a basis for the work of hydrology modelers and for the development of strategies for adaptation and mitigation Based on the CCLM simulations at ZAMG of about 0.03° (4km) spatial resolution for the Northeast of Austria, the project DISTURBANCE aims to develop integrated models for temperate Alpine forest ecosystems. Important tasks for the forest modeling are not only the assessment of changes in temperature, drought and windstorms but also the interactions between wind damages and bark beetle development which might impact the forest structure and its composition of species. In the project DATAPHEN

  12. Long-term forest monitoring in Switzerland: Assessing climate, climate change impacts

    SciTech Connect

    Kraeuchi, N.

    1996-12-31

    This paper discusses successional characteristics of forest ecosystems as influenced by a changing environment, and it focuses on the potential risks resulting from this change. In the early 90`s, a long-term forest monitoring program has been established in Switzerland. The primary aim of this program is to identify and evaluate changes in the structure and function of selected forest ecosystems. To assess the potential risks arising with changing weather patterns, a total of 15 monitoring plots have been chosen according to different selection criteria, namely site homogeneity and site sensitivity to climate change and air pollution. To assess these risks, FORSUM a forest succession model for Central Europe is applied to analyze the forest succession on the LTFER plots based on the new IPCC 95 climate scenarios. Forest succession models can be used to evaluate climate change impacts on forest ecosystems, even though some parameters are highly uncertain or are even unknown. Detailed analysis of the 15 case studies will help to identify high and low risk forest areas in Switzerland and to evaluate the long-term sustainability of Swiss forest, currently at a risk from a number of anthropogenic and biogenic stresses.

  13. Climate impacts of bioenergy: Inclusion of carbon cycle and albedo dynamics in life cycle impact assessment

    SciTech Connect

    Bright, Ryan M. Cherubini, Francesco; Stromman, Anders H.

    2012-11-15

    Life cycle assessment (LCA) can be an invaluable tool for the structured environmental impact assessment of bioenergy product systems. However, the methodology's static temporal and spatial scope combined with its restriction to emission-based metrics in life cycle impact assessment (LCIA) inhibits its effectiveness at assessing climate change impacts that stem from dynamic land surface-atmosphere interactions inherent to all biomass-based product systems. In this paper, we focus on two dynamic issues related to anthropogenic land use that can significantly influence the climate impacts of bioenergy systems: i) temporary changes to the terrestrial carbon cycle; and ii) temporary changes in land surface albedo-and illustrate how they can be integrated within the LCA framework. In the context of active land use management for bioenergy, we discuss these dynamics and their relevancy and outline the methodological steps that would be required to derive case-specific biogenic CO{sub 2} and albedo change characterization factors for inclusion in LCIA. We demonstrate our concepts and metrics with application to a case study of transportation biofuel sourced from managed boreal forest biomass in northern Europe. We derive GWP indices for three land management cases of varying site productivities to illustrate the importance and need to consider case- or region-specific characterization factors for bioenergy product systems. Uncertainties and limitations of the proposed metrics are discussed. - Highlights: Black-Right-Pointing-Pointer A method for including temporary surface albedo and carbon cycle changes in Life Cycle Impact Assessment (LCIA) is elaborated. Black-Right-Pointing-Pointer Concepts are applied to a single bioenergy case whereby a range of feedstock productivities are shown to influence results. Black-Right-Pointing-Pointer Results imply that case- and site-specific characterization factors can be essential for a more informed impact assessment. Black

  14. Assessing Impacts of Climate Change on Food Security Worldwide

    NASA Technical Reports Server (NTRS)

    Rosenzweig, Cynthia E.; Antle, John; Elliott, Joshua

    2015-01-01

    The combination of a warming Earth and an increasing population will likely strain the world's food systems in the coming decades. Experts involved with the Agricultural Model Intercomparison and Improvement Project (AgMIP) focus on quantifying the changes through time. AgMIP, a program begun in 2010, involves about 800 climate scientists, economists, nutritionists, information technology specialists, and crop and livestock experts. In mid-September 2015, the Aspen Global Change Institute convened an AgMIP workshop to draft plans and protocols for assessing global- and regional-scale modeling of crops, livestock, economics, and nutrition across major agricultural regions worldwide. The goal of this Coordinated Global and Regional Integrated Assessments (CGRA) project is to characterize climate effects on large- and small-scale farming systems.

  15. Developing Conceptual Models for Assessing Climate Change Impacts to Contaminant Availability in Terrestrial Ecosystems

    DTIC Science & Technology

    2015-03-01

    Approved for public release; distribution is unlimited. ERDC/EL TN-15-1 March 2015 Developing Conceptual Models for Assessing Climate Change ...aspects of climate change can impact contaminant availability and threatened, endangered, and at-risk species (TER-S) of terrestrial habitats on military...installations. The goal was to develop tools that aid installation managers with better managing climate change impacts. The CMs can be used as a

  16. A climate robust integrated modelling framework for regional impact assessment of climate change

    NASA Astrophysics Data System (ADS)

    Janssen, Gijs; Bakker, Alexander; van Ek, Remco; Groot, Annemarie; Kroes, Joop; Kuiper, Marijn; Schipper, Peter; van Walsum, Paul; Wamelink, Wieger; Mol, Janet

    2013-04-01

    Decision making towards climate proofing the water management of regional catchments can benefit greatly from the availability of a climate robust integrated modelling framework, capable of a consistent assessment of climate change impacts on the various interests present in the catchments. In the Netherlands, much effort has been devoted to developing state-of-the-art regional dynamic groundwater models with a very high spatial resolution (25x25 m2). Still, these models are not completely satisfactory to decision makers because the modelling concepts do not take into account feedbacks between meteorology, vegetation/crop growth, and hydrology. This introduces uncertainties in forecasting the effects of climate change on groundwater, surface water, agricultural yields, and development of groundwater dependent terrestrial ecosystems. These uncertainties add to the uncertainties about the predictions on climate change itself. In order to create an integrated, climate robust modelling framework, we coupled existing model codes on hydrology, agriculture and nature that are currently in use at the different research institutes in the Netherlands. The modelling framework consists of the model codes MODFLOW (groundwater flow), MetaSWAP (vadose zone), WOFOST (crop growth), SMART2-SUMO2 (soil-vegetation) and NTM3 (nature valuation). MODFLOW, MetaSWAP and WOFOST are coupled online (i.e. exchange information on time step basis). Thus, changes in meteorology and CO2-concentrations affect crop growth and feedbacks between crop growth, vadose zone water movement and groundwater recharge are accounted for. The model chain WOFOST-MetaSWAP-MODFLOW generates hydrological input for the ecological prediction model combination SMART2-SUMO2-NTM3. The modelling framework was used to support the regional water management decision making process in the 267 km2 Baakse Beek-Veengoot catchment in the east of the Netherlands. Computations were performed for regionalized 30-year climate change

  17. Climate impacts on arctic freshwater ecosystems and fisheries: background, rationale and approach of the Arctic Climate Impact Assessment (ACIA).

    PubMed

    Wrona, Frederick J; Prowse, Terry D; Reist, James D; Hobbie, John E; Lévesque, Lucie M J; Vincent, Warwick F

    2006-11-01

    Changes in climate and ultraviolet radiation levels in the Arctic will have far-reaching impacts, affecting aquatic species at various trophic levels, the physical and chemical environment that makes up their habitat, and the processes that act on and within freshwater ecosystems. Interactions of climatic variables, such as temperature and precipitation, with freshwater ecosystems are highly complex and can propagate through the ecosystem in ways that are difficult to project. This is partly due to a poor understanding of arctic freshwater systems and their basic interrelationships with climate and other environmental variables, and partly due to a paucity of long-term freshwater monitoring sites and integrated hydro-ecological research programs in the Arctic. The papers in this special issue are an abstraction of the analyses performed by 25 international experts and their associated networks on Arctic freshwater hydrology and related aquatic ecosystems that was initially published by the Arctic Climate Impact Assessment (ACIA) in 2005 as "Chapter 8--Freshwater Ecosystems and Fisheries". The papers provide a broad overview of the general hydrological and ecological features of the various freshwater ecosystems in the Arctic, including descriptions of each ACIA region, followed by a review of historical changes in freshwater systems during the Holocene. This is followed by an assessment of the effects of climate change on broad-scale hydro-ecology; aquatic biota and ecosystem structure and function; and arctic fish and fisheries. Potential synergistic and cumulative effects are also discussed, as are the roles of ultraviolet radiation and contaminants. The nature and complexity of many of the effects are illustrated using case studies from around the circumpolar north, together with a discussion of important threshold responses (i.e., those that produce stepwise and/or nonlinear effects). The issue concludes with summary the key findings, a list of gaps in

  18. Second California Assessment: Integrated climate change impacts assessment of natural and managed systems. Guest editorial

    USGS Publications Warehouse

    Franco, G.; Cayan, D.R.; Moser, S.; Hanemann, M.; Jones, M.A.

    2011-01-01

    Since 2006 the scientific community in California, in cooperation with resource managers, has been conducting periodic statewide studies about the potential impacts of climate change on natural and managed systems. This Special Issue is a compilation of revised papers that originate from the most recent assessment that concluded in 2009. As with the 2006 studies that influenced the passage of California's landmark Global Warming Solutions Act (AB32), these papers have informed policy formulation at the state level, helping bring climate adaptation as a complementary measure to mitigation. We provide here a brief introduction to the papers included in this Special Issue focusing on how they are coordinated and support each other. We describe the common set of downscaled climate and sea-level rise scenarios used in this assessment that came from six different global climate models (GCMs) run under two greenhouse gas emissions scenarios: B1 (low emissions) and A2 (a medium-high emissions). Recommendations for future state assessments, some of which are being implemented in an on-going new assessment that will be completed in 2012, are offered. ?? 2011 Springer Science+Business Media B.V.

  19. Basin-wide Assessment of Climate Change Impacts on Ecosystems and Biodiversity

    EPA Science Inventory

    Mekong ecosystems are under pressure from a number of "drivers", including rapid economic development, population growth, unsustainable resource use, and climate change. Ecological modeling can help assess vulnerability and impacts of these drivers on the Lower Mekong Basin.

  20. Choosing and using climate-change scenarios for ecological-impact assessments and conservation decisions.

    PubMed

    Snover, Amy K; Mantua, Nathan J; Littell, Jeremy S; Alexander, Michael A; McClure, Michelle M; Nye, Janet

    2013-12-01

    Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment. Selección y Uso de Escenarios de Cambio Climático para Estudios de Impacto Ecológico y Decisiones de Conservación.

  1. Climate change impact assessments on the water resources of India under extensive human interventions.

    PubMed

    Madhusoodhanan, C G; Sreeja, K G; Eldho, T I

    2016-10-01

    Climate change is a major concern in the twenty-first century and its assessments are associated with multiple uncertainties, exacerbated and confounded in the regions where human interventions are prevalent. The present study explores the challenges for climate change impact assessment on the water resources of India, one of the world's largest human-modified systems. The extensive human interventions in the Energy-Land-Water-Climate (ELWC) nexus significantly impact the water resources of the country. The direct human interventions in the landscape may surpass/amplify/mask the impacts of climate change and in the process also affect climate change itself. Uncertainties in climate and resource assessments add to the challenge. Formulating coherent resource and climate change policies in India would therefore require an integrated approach that would assess the multiple interlinkages in the ELWC nexus and distinguish the impacts of global climate change from that of regional human interventions. Concerted research efforts are also needed to incorporate the prominent linkages in the ELWC nexus in climate/earth system modelling.

  2. Sea Extremes: Integrated impact assessment in coastal climate adaptation

    NASA Astrophysics Data System (ADS)

    Sorensen, Carlo; Knudsen, Per; Broge, Niels; Molgaard, Mads; Andersen, Ole

    2016-04-01

    We investigate effects of sea level rise and a change in precipitation pattern on coastal flooding hazards. Historic and present in situ and satellite data of water and groundwater levels, precipitation, vertical ground motion, geology, and geotechnical soil properties are combined with flood protection measures, topography, and infrastructure to provide a more complete picture of the water-related impact from climate change at an exposed coastal location. Results show that future sea extremes evaluated from extreme value statistics may, indeed, have a large impact. The integrated effects from future storm surges and other geo- and hydro-parameters need to be considered in order to provide for the best protection and mitigation efforts, however. Based on the results we present and discuss a simple conceptual model setup that can e.g. be used for 'translation' of regional sea level rise evidence and projections to concrete impact measures. This may be used by potentially affected stakeholders -often working in different sectors and across levels of governance, in a common appraisal of the challenges faced ahead. The model may also enter dynamic tools to evaluate local impact as sea level research advances and projections for the future are updated.

  3. Assessment of climate change impact on floodplain and hydrologic ecotones

    NASA Astrophysics Data System (ADS)

    Moradkhani, Hamid; Baird, Ruben G.; Wherry, Susan A.

    2010-12-01

    SummaryCurrent modeling efforts continue to indicate that the effects of climate change will be both global and local in scale, and that ecohydrologic factors including vegetation pattern, altered precipitation events, reduced system yields due to streamflow changes, increased flooding and changes to current floodplain characteristics will be affected. Therefore, using technology such as light detection and ranging (LiDAR) data, using future general circulation model (GCM) data, and conducting floodplain analyses to predict the changes to ecohydrologic factors are critical for cataloging existing ecosystem resources and for understanding the effects that different climate change scenarios may have on these resources at the basin scale. This study considers the effects of three different GCM climate change emissions scenarios (high from the IPSL GCM's A2 scenario, middle from the ECHAM5 GCM's A2 scenario and low from the GISS GCM's B1 scenario) using daily downscaled precipitation and temperature data over the Lower Tualatin basin in the Pacific Northwest US. The Tualatin River basin is a dynamic watershed that supports urban and agricultural uses and is also 50% forested. Its economic drivers include agricultural and forest products, as well as other consumer products including high-tech software and hardware industries. The Soil and Water Assessment Tool (SWAT) software was used as a distributed hydrologic model to predict the daily flows in the basin. It is predicted the 50-year recurrence interval (RI) flow will decrease significantly for the low and middle emissions scenarios (to between approximately 18,000-19,000 cfs compared to the observed 50-year RI of near 26,000 cfs) and will increase significantly under the high emissions scenario to nearly 33,000 cfs. Floodplain extents for the various climate scenarios and timeframes were delineated using the HEC-RAS model. A geo-processing procedure was employed to delineate hydrologic ecotones to evaluate the

  4. Climate change impact assessment on food security in Indonesia

    NASA Astrophysics Data System (ADS)

    Ettema, Janneke; Aldrian, Edvin; de Bie, Kees; Jetten, Victor; Mannaerts, Chris

    2013-04-01

    As Indonesia is the world's fourth most populous country, food security is a persistent challenge. The potential impact of future climate change on the agricultural sector needs to be addressed in order to allow early implementation of mitigation strategies. The complex island topography and local sea-land-air interactions cannot adequately be represented in large scale General Climate Models (GCMs) nor visualized by TRMM. Downscaling is needed. Using meteorological observations and a simple statistical downscaling tool, local future projections are derived from state-of-the-art, large-scale GCM scenarios, provided by the CMIP5 project. To support the agriculture sector, providing information on especially rainfall and temperature variability is essential. Agricultural production forecast is influenced by several rain and temperature factors, such as rainy and dry season onset, offset and length, but also by daily and monthly minimum and maximum temperatures and its rainfall amount. A simple and advanced crop model will be used to address the sensitivity of different crops to temperature and rainfall variability, present-day and future. As case study area, Java Island is chosen as it is fourth largest island in Indonesia but contains more than half of the nation's population and dominates it politically and economically. The objective is to identify regions at agricultural risk due to changing patterns in precipitation and temperature.

  5. Basin-Wide Assessment on Impacts of Climate Change on ...

    EPA Pesticide Factsheets

    The Lower Mekong Basin (LMB) covers parts of riparian countries of Lao PDR, Viet Nam, Cambodia and Thailand and supports over 60 million people for food and livelihood. Recently, the LMB is threatened by climate change. This paper aims to quantify water yields and sediment retention at current and in short and long-term climate scenarios. The InVEST model was used to spatially assess both ecosystem services. The results indicated that the estimated annual water yield in the entire LMB in 2010 was 639 km3 and the average soil erosion was 43.2 ton/ha/year. In addition, 175 million tons of sediment were predicted to export from the LMB. The predicted annual water yields in 2030 and 2060 derived from a drier overall projection in combination of medium and high emissions indicated a substantial reduction of predicted water yields by 9-24% from the baseline and a reduction of soil erosion of 7-10% was predicted. The effects of the severe drought were forecasted in northern and southern Lao PDR and central Cambodia due to these areas lack of irrigation system. In contrast, the increased seasonality and the wetter rainfall scenarios in connection with high emissions would result in an amplification of 5-26% from the current runoff and would produce greater amount of soil erosion in the watershed and sediment load transported to the outlet. The research results are being embedded in the Mekong Adaptation Strategy and Action Plan 2020. Presented at ACES 2016

  6. Quantifying the impact of model inaccuracy in climate change impact assessment studies using an agro-hydrological model

    NASA Astrophysics Data System (ADS)

    Droogers, P.; van Loon, A.; Immerzeel, W. W.

    2008-04-01

    Numerical simulation models are frequently applied to assess the impact of climate change on hydrology and agriculture. A common hypothesis is that unavoidable model errors are reflected in the reference situation as well as in the climate change situation so that by comparing reference to scenario model errors will level out. For a polder in The Netherlands an innovative procedure has been introduced, referred to as the Model-Scenario-Ratio (MSR), to express model inaccuracy on climate change impact assessment studies based on simulation models comparing a reference situation to a climate change situation. The SWAP (Soil Water Atmosphere Plant) model was used for the case study and the reference situation was compared to two climate change scenarios. MSR values close to 1, indicating that impact assessment is mainly a function of the scenario itself rather than of the quality of the model, were found for most indicators evaluated. A climate change scenario with enhanced drought conditions and indicators based on threshold values showed lower MSR values, indicating that model accuracy is an important component of the climate change impact assessment. It was concluded that the MSR approach can be applied easily and will lead to more robust impact assessment analyses.

  7. Data driven approaches vs. qualitative approaches in climate change impact and vulnerability assessment.

    NASA Astrophysics Data System (ADS)

    Zebisch, Marc; Schneiderbauer, Stefan; Petitta, Marcello

    2015-04-01

    In the last decade the scope of climate change science has broadened significantly. 15 years ago the focus was mainly on understanding climate change, providing climate change scenarios and giving ideas about potential climate change impacts. Today, adaptation to climate change has become an increasingly important field of politics and one role of science is to inform and consult this process. Therefore, climate change science is not anymore focusing on data driven approaches only (such as climate or climate impact models) but is progressively applying and relying on qualitative approaches including opinion and expertise acquired through interactive processes with local stakeholders and decision maker. Furthermore, climate change science is facing the challenge of normative questions, such us 'how important is a decrease of yield in a developed country where agriculture only represents 3% of the GDP and the supply with agricultural products is strongly linked to global markets and less depending on local production?'. In this talk we will present examples from various applied research and consultancy projects on climate change vulnerabilities including data driven methods (e.g. remote sensing and modelling) to semi-quantitative and qualitative assessment approaches. Furthermore, we will discuss bottlenecks, pitfalls and opportunities in transferring climate change science to policy and decision maker oriented climate services.

  8. A New Framework for Spatio-temporal Climate Change Impact Assessment for Terrestrial Wildlife

    NASA Astrophysics Data System (ADS)

    Lankford-Bingle, Amber J.; Svancara, Leona K.; Vierling, Kerri

    2015-12-01

    We describe a first step framework for climate change species' impact assessments that produces spatially and temporally heterogeneous models of climate impacts. Case study results are provided for great gray owl ( Strix nebulosa) in Idaho as an example of framework application. This framework applies species-specific sensitivity weights to spatial and seasonal models of climate exposure to produce spatial and seasonal models of climate impact. We also evaluated three methods of calculating sensitivity by comparing spatial models of combined exposure and sensitivity. We found the methods used to calculated sensitivity showed little difference, except where sensitivity was directional (i.e., more sensitive to an increase in temperature than a decrease). This approach may assist in the development of State Wildlife Action Plans and other wildlife management plans in the face of potential future climate change.

  9. Enhanced science-stakeholder communication to improve ecosystem model performances for climate change impact assessments.

    PubMed

    Jönsson, Anna Maria; Anderbrant, Olle; Holmér, Jennie; Johansson, Jacob; Schurgers, Guy; Svensson, Glenn P; Smith, Henrik G

    2015-04-01

    In recent years, climate impact assessments of relevance to the agricultural and forestry sectors have received considerable attention. Current ecosystem models commonly capture the effect of a warmer climate on biomass production, but they rarely sufficiently capture potential losses caused by pests, pathogens and extreme weather events. In addition, alternative management regimes may not be integrated in the models. A way to improve the quality of climate impact assessments is to increase the science-stakeholder collaboration, and in a two-way dialog link empirical experience and impact modelling with policy and strategies for sustainable management. In this paper we give a brief overview of different ecosystem modelling methods, discuss how to include ecological and management aspects, and highlight the importance of science-stakeholder communication. By this, we hope to stimulate a discussion among the science-stakeholder communities on how to quantify the potential for climate change adaptation by improving the realism in the models.

  10. An integrated assessment of climate change impacts for Athens- relevance to stakeholders and policy makers

    NASA Astrophysics Data System (ADS)

    Giannakopoulos, C.; Hatzaki, M.; Kostopoulou, E.; Varotsos, K.

    2010-09-01

    Analysing climate change and its impact needs a production of relevant elements for policy making that can be very different from the parameters considered by climate experts. In the framework of EU project CIRCE, a more realistic approach to match stakeholders and policy-makers demands is attempted. For this reason, within CIRCE selected case studies have been chosen that will provide assessments that can be integrated in practical decision making. In this work, an integrated assessment of climate change impacts on several sectors for the urban site of Athens in Greece is presented. The Athens urban case study has been chosen since it provides excellent opportunities for using an integrated approach across multiple temporal and spatial scales and sectors. In the spatial dimension, work extends from the inner city boundaries to the surrounding mountains and forests. In the temporal dimension, research ranges from the current observed time period (using available meteorological and sector data) to future time periods using data from several climate change projections. In addition, a multi-sector approach to climate change impacts is adopted. Impacts sectors covered range from direct climate impacts on natural ecosystems (such as flash floods, air pollution and forest fire risk) to indirect impacts resulting from combined climate-social-economic linkages (such as energy demand, tourism and health). Discussion of impact sector risks and adaptation measures are also exploited. Case-study work on impact sector risk to climate change is of particular interest to relevant policy makers and stakeholders, communication with who is ensured through a series of briefing notes and information sheets and through regional workshops.

  11. Global water resources assessment at a sub-annual timescale: Application to climate change impact assessment

    NASA Astrophysics Data System (ADS)

    Yamamoto, T.; Hanasaki, N.; Takahashi, K.; Hijioka, Y.

    2010-12-01

    Several reports have assessed water scarcity globally using the widely accepted withdrawal-to-water resources ratio (hereafter WWR). This index is defined as the ratio of annual withdrawal to the annual renewable water resources (runoff). The index has also been used widely to assess the impact of climate change on global water resources. Here, we ask whether it is appropriate to use the WWR to assess the impact of climate change. Global warming is projected to increase the mean annual runoff in many parts of the world. Therefore, in these regions, the WWR decreases, by definition. However, water scarcity may not always be alleviated in these regions. Global warming is also projected to increase the temporal and spatial variability of precipitation, decrease snowfall, and change the timing of snowmelt. These phenomena may increase the temporal gap between water availability and water demand, which might worsen local water scarcity, even if the mean annual runoff is increased. To assess the impact of climate change on global water resources incorporating subannual time-scale phenomena, this study applies a new water scarcity index, the cumulative withdrawal-to-demand ratio (hereafter CWD). This index is defined as the ratio of the accumulation of daily water withdrawal from local water resources to the accumulation of daily water demand. To estimate daily water withdrawal and water demand, we used the state-of-the-art H08 global water resources model. Our results indicated that global warming increased the mean annual runoff in 52% of the total land area globally. However, in 22% of the area where runoff increased, the CWD showed increased water stress. Those regions included India, northern China, and northern Europe. For India, the increase in water stress was attributed to the seasonal gap between runoff increase and water demand. The increased runoff was concentrated in a few months, while the high water demand months differed and were much longer. For Europe

  12. Prediction technologies for assessment of climate change impacts

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Temperatures, precipitation, and weather patterns are changing, in response to increasing carbon dioxide in the atmosphere. With these relatively rapid changes, existing soil erosion prediction technologies that rely upon climate stationarity are potentially becoming less reliable. This is especiall...

  13. Health consequence scales for use in health impact assessments of climate change.

    PubMed

    Brown, Helen; Spickett, Jeffery

    2014-09-16

    While health impact assessment (HIA) has typically been applied to projects, plans or policies, it has significant potential with regard to strategic considerations of major health issues facing society such as climate change. Given the complexity of climate change, assessing health impacts presents new challenges that may require different approaches compared to traditional applications of HIA. This research focuses on the development of health consequence scales suited to assessing and comparing health effects associated with climate change and applied within a HIA framework. This assists in setting priorities for adaptation plans to minimize the public health impacts of climate change. The scales presented in this paper were initially developed for a HIA of climate change in Perth in 2050, but they can be applied across spatial and temporal scales. The design is based on a health effects pyramid with health measures expressed in orders of magnitude and linked to baseline population and health data. The health consequence measures are combined with a measure of likelihood to determine the level of risk associated with each health potential health impact. In addition, a simple visual framework that can be used to collate, compare and communicate the level of health risks associated with climate change has been developed.

  14. Health Consequence Scales for Use in Health Impact Assessments of Climate Change

    PubMed Central

    Brown, Helen; Spickett, Jeffery

    2014-01-01

    While health impact assessment (HIA) has typically been applied to projects, plans or policies, it has significant potential with regard to strategic considerations of major health issues facing society such as climate change. Given the complexity of climate change, assessing health impacts presents new challenges that may require different approaches compared to traditional applications of HIA. This research focuses on the development of health consequence scales suited to assessing and comparing health effects associated with climate change and applied within a HIA framework. This assists in setting priorities for adaptation plans to minimize the public health impacts of climate change. The scales presented in this paper were initially developed for a HIA of climate change in Perth in 2050, but they can be applied across spatial and temporal scales. The design is based on a health effects pyramid with health measures expressed in orders of magnitude and linked to baseline population and health data. The health consequence measures are combined with a measure of likelihood to determine the level of risk associated with each health potential health impact. In addition, a simple visual framework that can be used to collate, compare and communicate the level of health risks associated with climate change has been developed. PMID:25229697

  15. Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080

    PubMed Central

    Fischer, Günther; Shah, Mahendra; N. Tubiello, Francesco; van Velhuizen, Harrij

    2005-01-01

    A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological–economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5′×5′ latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change. PMID:16433094

  16. Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990-2080.

    PubMed

    Fischer, Günther; Shah, Mahendra; Tubiello, Francesco N; van Velhuizen, Harrij

    2005-11-29

    A comprehensive assessment of the impacts of climate change on agro-ecosystems over this century is developed, up to 2080 and at a global level, albeit with significant regional detail. To this end an integrated ecological-economic modelling framework is employed, encompassing climate scenarios, agro-ecological zoning information, socio-economic drivers, as well as world food trade dynamics. Specifically, global simulations are performed using the FAO/IIASA agro-ecological zone model, in conjunction with IIASAs global food system model, using climate variables from five different general circulation models, under four different socio-economic scenarios from the intergovernmental panel on climate change. First, impacts of different scenarios of climate change on bio-physical soil and crop growth determinants of yield are evaluated on a 5' X 5' latitude/longitude global grid; second, the extent of potential agricultural land and related potential crop production is computed. The detailed bio-physical results are then fed into an economic analysis, to assess how climate impacts may interact with alternative development pathways, and key trends expected over this century for food demand and production, and trade, as well as key composite indices such as risk of hunger and malnutrition, are computed. This modelling approach connects the relevant bio-physical and socio-economic variables within a unified and coherent framework to produce a global assessment of food production and security under climate change. The results from the study suggest that critical impact asymmetries due to both climate and socio-economic structures may deepen current production and consumption gaps between developed and developing world; it is suggested that adaptation of agricultural techniques will be central to limit potential damages under climate change.

  17. A multi-model integrated assessment of the impacts of climate change in Washington State

    NASA Astrophysics Data System (ADS)

    McGuire Elsner, M.; Salathe, E. P.; Hamlet, A. F.; Lettenmaier, D. P.; Miles, E. L.

    2008-12-01

    In April 2007, the State of Washington passed legislation mandating a comprehensive statewide assessment of the impacts of climate change over the next 100 years. The Climate Impacts Group (CIG) at the University of Washington Joint Institute for the Study of the Atmosphere and Ocean (JISAO) is working with Washington State University, Pacific Northwest National Laboratory, and state agencies to perform an integrated assessment on the effects of climate change for eight statewide sectors: public health, agriculture, the coastal zone, forest ecosystems, salmon, infrastructure, energy, and water supply and management. An additional Climate Scenarios Working Group serves the eight other sectors by providing projections of future regional climate, downscaled to 1/16th degree spatial resolution over the state of Washington. We utilize projections from A1B and B1 greenhouse gas emissions scenarios, as simulated by the full suite of 20 GCMs, archived in the 2007 Fourth Assessment Report of the IPCC. In this approach, we apply 40 ensembles of statistically downscaled future climate to drive hydrologic model simulations. Each sector incorporates the projections of climatic and hydrologic variables in their evaluations of the impacts of climate change. Here we present impacts on hydrologic variables (such as snowpack and streamflow), as well as related implications for several of the sectors listed above, over the State of Washington for three periods: the 2020s, 2040s and 2080s. We also discuss CIG's collaboration with multi-stakeholder adaptation working groups to identify potential barriers to adaptation and strategies to address the projected impacts in each sector.

  18. Assessing Climate Change Impacts on Electric Power Generation in the Western Interconnection

    NASA Astrophysics Data System (ADS)

    Bartos, M. D.; Chester, M.

    2014-12-01

    In recent years, concerns have grown over the potential impacts of climate change on electricity generation. Water resources are integral to the production of thermoelectric and hydroelectric power, and droughts are expected to become more frequent, severe, and longer-lasting over the course of the twenty-first century. Many generation technologies—including gas turbines and solar cells—are also vulnerable to changes in local climatic conditions like ambient air temperature. As extreme weather becomes more common, methods are needed to assess the impacts of climate change on regional power systems. However, these methods must also account for (1) heterogeneity in generation technologies, and (2) local variation in climatic conditions. This study uses a physically-based modeling system to assess the vulnerability of electric power infrastructure in the Western Interconnection. Climatic and hydrologic parameters relevant to power generation are identified for six generation technologies. Downscaled climate forcings are then used as inputs to a physically-based modeling system, consisting of the Variable Infiltration Capacity (VIC) hydrological model and the RBM one-dimensional stream temperature model. Impacts to generating capacity are estimated directly from changes in modeled climatic and hydrologic parameters, using functional relationships unique to each generating technology. A preliminary analysis of 1,302 power stations in the Western Interconnection reveals decreases in summertime generating capacity of 8-22%, with the largest impacts occurring at thermoelectric and hydroelectric facilities in the Pacific Northwest and California. Impacts to base-load thermoelectric plants are mitigated by recirculating cooling systems, which reduce the performance penalty of low flows and high water temperatures. Climate impacts on solar and wind capacity are relatively small, indicating that these energy sources may play a more prominent role as conventional generation

  19. Assessing the Impacts of Climate Change on Drinking Water Treatment

    EPA Science Inventory

    Climate change may affect both surface water and ground water quality. Increases (or decreases) in precipitation and related changes in flow can result in problematic turbidity levels, increased levels of organic matter, high levels of bacteria, virus and parasites and increased...

  20. Adaptation strategies for health impacts of climate change in Western Australia: Application of a Health Impact Assessment framework

    SciTech Connect

    Spickett, Jeffery T.; Brown, Helen L.; Katscherian, Dianne

    2011-04-15

    Climate change is one of the greatest challenges facing the globe and there is substantial evidence that this will result in a number of health impacts, regardless of the level of greenhouse gas mitigation. It is therefore apparent that a combined approach of mitigation and adaptation will be required to protect public health. While the importance of mitigation is recognised, this project focused on the role of adaptation strategies in addressing the potential health impacts of climate change. The nature and magnitude of these health impacts will be determined by a number of parameters that are dependent upon the location. Firstly, climate change will vary between regions. Secondly, the characteristics of each region in terms of population and the ability to adapt to changes will greatly influence the extent of the health impacts that are experienced now and into the future. Effective adaptation measures therefore need to be developed with these differences in mind. A Health Impact Assessment (HIA) framework was used to consider the implications of climate change on the health of the population of Western Australia (WA) and to develop a range of adaptive responses suited to WA. A broad range of stakeholders participated in the HIA process, providing informed input into developing an understanding of the potential health impacts and potential adaptation strategies from a diverse sector perspective. Potential health impacts were identified in relation to climate change predictions in WA in the year 2030. The risk associated with each of these impacts was assessed using a qualitative process that considered the consequences and the likelihood of the health impact occurring. Adaptations were then developed which could be used to mitigate the identified health impacts and provide responses which could be used by Government for future decision making. The periodic application of a HIA framework is seen as an ideal tool to develop appropriate adaptation strategies to

  1. Uncertainties in assessing climate change impacts on the hydrology of Mediterranean basins

    NASA Astrophysics Data System (ADS)

    Ludwig, Ralf

    2013-04-01

    There is substantial evidence in historical and recent observations that the Mediterranean and neighboring regions are especially vulnerable to the impacts of climate change. Numerous climate projections, stemming from ensembles of global and regional climate models, agree on severe changes in the climate forcing which are likely to exacerbate subsequent ecological, economic and social impacts. Many of these causal connections are closely linked to the general expectation that water availability will decline in the already water-stressed basins of Africa, the Mediterranean region and the Near East, even though considerable regional variances must be expected. Consequently, climate change impacts on water resources are raising concerns regarding their possible management and security implications. Decreasing access to water resources and other related factors could be a cause or a 'multiplier' of tensions within and between countries. Whether security threats arise from climate impacts or options for cooperation evolve does not depend only on the severity of the impacts themselves, but on social, economic, and institutional vulnerabilities or resilience as well as factors that influence local, national and international relations. However, an assessment of vulnerability and risks hinges on natural, socio-economic, and political conditions and responses, all of which are uncertain. Multidisciplinary research is needed to tackle the multi-facet complexity of climate change impacts on water resources in the Mediterranean and neighboring countries. This is particularly true in a region of overall data scarcity and poor data management and exchange structures. The current potential to develop appropriate regional adaptation measures towards climate change impacts suffers heavily from large uncertainties. These spread along a long chain of components, starting from the definition of emission scenarios to global and regional climate modeling to impact models and a

  2. 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

  3. Assessing the impact of climate variation on survival in vertebrate populations.

    PubMed

    Grosbois, V; Gimenez, O; Gaillard, J M; Pradel, R; Barbraud, C; Clobert, J; Møller, A P; Weimerskirch, H

    2008-08-01

    The impact of the ongoing rapid climate change on natural systems is a major issue for human societies. An important challenge for ecologists is to identify the climatic factors that drive temporal variation in demographic parameters, and, ultimately, the dynamics of natural populations. The analysis of long-term monitoring data at the individual scale is often the only available approach to estimate reliably demographic parameters of vertebrate populations. We review statistical procedures used in these analyses to study links between climatic factors and survival variation in vertebrate populations. We evaluated the efficiency of various statistical procedures from an analysis of survival in a population of white stork, Ciconia ciconia, a simulation study and a critical review of 78 papers published in the ecological literature. We identified six potential methodological problems: (i) the use of statistical models that are not well-suited to the analysis of long-term monitoring data collected at the individual scale; (ii) low ratios of number of statistical units to number of candidate climatic covariates; (iii) collinearity among candidate climatic covariates; (iv) the use of statistics, to assess statistical support for climatic covariates effects, that deal poorly with unexplained variation in survival; (v) spurious detection of effects due to the co-occurrence of trends in survival and the climatic covariate time series; and (vi) assessment of the magnitude of climatic effects on survival using measures that cannot be compared across case studies. The critical review of the ecological literature revealed that five of these six methodological problems were often poorly tackled. As a consequence we concluded that many of these studies generated hypotheses but only few provided solid evidence for impacts of climatic factors on survival or reliable measures of the magnitude of such impacts. We provide practical advice to solve efficiently most of the

  4. Impacts of climate change on biodiversity, ecosystems, and ecosystem services: technical input to the 2013 National Climate Assessment

    USGS Publications Warehouse

    Staudinger, Michelle D.; Grimm, Nancy B.; Staudt, Amanda; Carter, Shawn L.; Stuart, F. Stuart; Kareiva, Peter; Ruckelshaus, Mary; Stein, Bruce A.

    2012-01-01

    Ecosystems, and the biodiversity and services they support, are intrinsically dependent on climate. During the twentieth century, climate change has had documented impacts on ecological systems, and impacts are expected to increase as climate change continues and perhaps even accelerates. This technical input to the National Climate Assessment synthesizes our scientific understanding of the way climate change is affecting biodiversity, ecosystems, ecosystem services, and what strategies might be employed to decrease current and future risks. Building on past assessments of how climate change and other stressors are affecting ecosystems in the United States and around the world, we approach the subject from several different perspectives. First, we review the observed and projected impacts on biodiversity, with a focus on genes, species, and assemblages of species. Next, we examine how climate change is affecting ecosystem structural elements—such as biomass, architecture, and heterogeneity—and functions—specifically, as related to the fluxes of energy and matter. People experience climate change impacts on biodiversity and ecosystems as changes in ecosystem services; people depend on ecosystems for resources that are harvested, their role in regulating the movement of materials and disturbances, and their recreational, cultural, and aesthetic value. Thus, we review newly emerging research to determine how human activities and a changing climate are likely to alter the delivery of these ecosystem services. This technical input also examines two cross-cutting topics. First, we recognize that climate change is happening against the backdrop of a wide range of other environmental and anthropogenic stressors, many of which have caused dramatic ecosystem degradation already. This broader range of stressors interacts with climate change, and complicates our abilities to predict and manage the impacts on biodiversity, ecosystems, and the services they support. The

  5. Health impacts of climate change in Vanuatu: an assessment and adaptation action plan.

    PubMed

    Spickett, Jeffery T; Katscherian, Dianne; McIver, Lachlan

    2013-01-30

    Climate change is one of the greatest global challenges and Pacific island countries are particularly vulnerable due to, among other factors, their geography, demography and level of economic development. A Health Impact Assessment (HIA) framework was used as a basis for the consideration of the potential health impacts of changes in the climate on the population of Vanuatu, to assess the risks and propose a range of potential adaptive responses appropriate for Vanuatu. The HIA process involved the participation of a broad range of stakeholders including expert sector representatives in the areas of bio-physical, socio-economic, infrastructure, environmental diseases and food, who provided informed comment and input into the understanding of the potential health impacts and development of adaptation strategies. The risk associated with each of these impacts was assessed with the application of a qualitative process that considered both the consequences and the likelihood of each of the potential health impacts occurring. Potential adaptation strategies and actions were developed which could be used to mitigate the identified health impacts and provide responses which could be used by the various sectors in Vanuatu to contribute to future decision making processes associated with the health impacts of climate change.

  6. ASSESSING THE WATER QUALITY IMPACTS OF GLOBAL CLIMATE CHANGE IN SOUTHWESTERN OHIO, U.S.A

    EPA Science Inventory

    This paper uses a watershed-scale hydrologic model (Soil and Water Assessment Tool) to simulate the water quality impacts of future climate change in the Little Miami River (LMR) watershed in southwestern Ohio. The LMR watershed, the principal source of drinking water for 1.6 mi...

  7. Climate Change Education: Quantitatively Assessing the Impact of a Botanical Garden as an Informal Learning Environment

    ERIC Educational Resources Information Center

    Sellmann, Daniela; Bogner, Franz X.

    2013-01-01

    Although informal learning environments have been studied extensively, ours is one of the first studies to quantitatively assess the impact of learning in botanical gardens on students' cognitive achievement. We observed a group of 10th graders participating in a one-day educational intervention on climate change implemented in a botanical garden.…

  8. Using Different Spatial Scales of Climate Data for Regional Climate Impact Assessment: Effect on Crop Modeling Analysis

    NASA Astrophysics Data System (ADS)

    Mereu, V.; Gallo, A.; Trabucco, A.; Montesarchio, M.; Mercogliano, P.; Spano, D.

    2015-12-01

    The high vulnerability of the agricultural sector to climate conditions causes serious concern regarding climate change impacts on crop development and production, particularly in vulnerable areas like the Mediterranean Basin. Crop simulation models are the most common tools applied for the assessment of such impacts on crop development and yields, both at local and regional scales. However, the use of these models in regional impact studies requires spatial input data for weather, soil, management, etc, whose resolution could affect simulation results. Indeed, the uncertainty in projecting climate change impacts on crop phenology and yield at the regional scale is affected not only by the uncertainty related to climate models and scenarios, but also by the downscaling methods and the resolution of climate data. The aim of this study was the evaluation of the effects of spatial resolutions of climate projections in estimating maturity date and grain yield for different varieties of durum wheat, common wheat and maize in Italy. The simulations were carried out using the CSM-CERES-Wheat and CSM-CERES-Maize crop models included in the DSSAT-CSM (Decision Support System for Agrotechnology Transfer - Cropping System Model) software, parameterized and evaluated in different experimental sites located in Italy. Dynamically downscaled climate data at different resolutions and different RCP scenarios were used as input in the crop models. A spatial platform, DSSAT-CSM based, developed in R programming language was applied to perform the simulation of maturity date and grain yield for durum wheat, common wheat and maize in each grid cell. Results, analyzed at the national and regional level, will be discussed.

  9. Representative Agricultural Pathways and Climate Impact Assessment for Pacific Northwest Agricultural Systems

    NASA Astrophysics Data System (ADS)

    MU, J.; Antle, J. M.; Zhang, H.; Capalbo, S. M.; Eigenbrode, S.; Kruger, C.; Stockle, C.; Wolfhorst, J. D.

    2013-12-01

    Representative Agricultural Pathways (RAPs) are projections of plausible future biophysical and socio-economic conditions used to carry out climate impact assessments for agriculture. The development of RAPs iss motivated by the fact that the various global and regional models used for agricultural climate change impact assessment have been implemented with individualized scenarios using various data and model structures, often without transparent documentation or public availability. These practices have hampered attempts at model inter-comparison, improvement, and synthesis of model results across studies. This paper aims to (1) present RAPs developed for the principal wheat-producing region of the Pacific Northwest, and to (2) combine these RAPs with downscaled climate data, crop model simulations and economic model simulations to assess climate change impacts on winter wheat production and farm income. This research was carried out as part of a project funded by the USDA known as the Regional Approaches to Climate Change in the Pacific Northwest (REACCH). The REACCH study region encompasses the major winter wheat production area in Pacific Northwest and preliminary research shows that farmers producing winter wheat could benefit from future climate change. However, the future world is uncertain in many dimensions, including commodity and input prices, production technology, and policies, as well as increased probability of disturbances (pests and diseases) associated with a changing climate. Many of these factors cannot be modeled, so they are represented in the regional RAPS. The regional RAPS are linked to global agricultural and shared social-economic pathways, and used along with climate change projections to simulate future outcomes for the wheat-based farms in the REACCH region.

  10. Integrated assessment of climate change impact on surface runoff contamination by pesticides.

    PubMed

    Gagnon, Patrick; Sheedy, Claudia; Rousseau, Alain N; Bourgeois, Gaétan; Chouinard, Gérald

    2016-07-01

    Pesticide transport by surface runoff depends on climate, agricultural practices, topography, soil characteristics, crop type, and pest phenology. To accurately assess the impact of climate change, these factors must be accounted for in a single framework by integrating their interaction and uncertainty. This article presents the development and application of a framework to assess the impact of climate change on pesticide transport by surface runoff in southern Québec (Canada) for the 1981-2040 period. The crop enemies investigated were: weeds for corn (Zea mays); and for apple orchard (Malus pumila), 3 insect pests (codling moth [Cydia pomonella], plum curculio [Conotrachelus nenuphar], and apple maggot [Rhagoletis pomonella]), 2 diseases (apple scab [Venturia inaequalis], and fire blight [Erwinia amylovora]). A total of 23 climate simulations, 19 sites, and 11 active ingredients were considered. The relationship between climate and phenology was accounted for by bioclimatic models of the Computer Centre for Agricultural Pest Forecasting (CIPRA) software. Exported loads of pesticides were evaluated at the edge-of-field scale using the Pesticide Root Zone Model (PRZM), simulating both hydrology and chemical transport. A stochastic model was developed to account for PRZM parameter uncertainty. Results of this study indicate that for the 2011-2040 period, application dates would be advanced from 3 to 7 days on average with respect to the 1981-2010 period. However, the impact of climate change on maximum daily rainfall during the application window is not statistically significant, mainly due to the high variability of extreme rainfall events. Hence, for the studied sites and crop enemies considered, climate change impact on pesticide transported in surface runoff is not statistically significant throughout the 2011-2040 period. Integr Environ Assess Managem 2016;12:559-571. © Her Majesty the Queen in Right of Canada 2015; Published 2015 SETAC.

  11. Health impacts of climate change in the Solomon Islands: an assessment and adaptation action plan.

    PubMed

    Spickett, Jeffery T; Katscherian, Dianne

    2014-06-25

    The Pacific island countries are particularly vulnerable to the environmental changes wrought by global climate change such as sea level rise, more frequent and intense extreme weather events and increasing temperatures. The potential biophysical changes likely to affect these countries have been identified and it is important that consideration be given to the implications of these changes on the health of their citizens. The potential health impacts of climatic changes on the population of the Solomon Islands were assessed through the use of a Health Impact Assessment framework. The process used a collaborative and consultative approach with local experts to identify the impacts to health that could arise from local environmental changes, considered the risks associated with these and proposed appropriate potential adaptive responses. Participants included knowledgeable representatives from the biophysical, socio-economic, infrastructure, environmental diseases and food sectors. The risk assessments considered both the likelihood and consequences of the health impacts occurring using a qualitative process. To mitigate the adverse effects of the health impacts, an extensive range of potential adaptation strategies were developed. The overall process provided an approach that could be used for further assessments as well as an extensive range of responses which could be used by sectors and to assist future decision making associated with the Solomon Islands' responses to climate change.

  12. The impact of climate change on water resources: Assessment at the scale of the Indian subcontinent

    NASA Astrophysics Data System (ADS)

    Pechlivanidis, Ilias; Olsson, Jonas; Bosshard, Thomas; Sharma, Devesh; Sharma, Kc; Arheimer, Berit

    2015-04-01

    The large increase in the atmospheric concentrations of greenhouse gases has led to the global climate change phenomenon which is expected to have a strong impact on water resources on local, regional and global scales. The Indian subcontinent is vulnerable to climate change since the region is characterized by a strong hydro-climatic gradient due to monsoon and the geographic features, and hence poses extraordinary challenges to understand, quantify and predict future availability in water resources. In here, the impact of climate change on the hydro-climatology of the subcontinent is investigated by comparing statistics of current and projected future fluxes resulting from three emission scenarios (RCP2.6, RCP4.5, and RCP8.5). The use of different emission scenarios allows for the definition of uncertainty of future impacts. Climate projections from the CORDEX-South Asia framework have been bias-corrected using the DBS (Distribution Based Scaling) method and used to force the HYPE (HYdrological Predictions for the Environment) hydrological model to generate projections of evapotranspiration, runoff, soil moisture deficit, snow depth, and applied irrigation water to soil. In addition, we assess the changes on high and low flows from all river systems as well as the changes in the annual cycles. Overall, the high uncertainty in the climate projections is propagated in the hydrological impact model, and as a result the spatiotemporal distribution of change is subject to the climate projection. In general, results from all scenarios indicate a -20 to +50% change in long-term average precipitation and evapotranspiration, yet a higher change (-100 to +100%) in runoff. Analysis of annual cycles showed that climate change impacts vary between seasons whereas the effect is dependent on the region's hydro-climatic gradient. Future scenarios project a graduate increase in temperature from 1 up to 76°C on average, which further affects the need for irrigation and snow

  13. Regional assessment of Climate change impacts in the Mediterranean: the CIRCE project

    NASA Astrophysics Data System (ADS)

    Iglesias, A.

    2011-12-01

    The CIRCE project has developed for the first time an assessment of the climate change impacts in the Mediterranean area. The objectives of the project are: to predict and to quantify physical impacts of climate change in the Mediterranean area; to evaluate the consequences of climate change for the society and the economy of the populations located in the Mediterranean area; to develop an integrated approach to understand combined effects of climate change; and to identify adaptation and mitigation strategies in collaboration with regional stakeholders. The CIRCE Project, coordinated by the Instituto Nazionale di Geofisca e Vulcanologia, started on 1st April 2007 and ended in a policy conference in Rome on June 2011. CIRCE involves 64 partners from Europe, Middle East and North Africa working together to evaluate the best strategies of adaptation to the climate change in the Mediterranean basin. CIRCE wants to understand and to explain how climate will change in the Mediterranean area bringing together the natural sciences community and social community in a new integrated and comprehensive way. The project has investigated how global and Mediterranean climates interact, how the radiative properties of the atmosphere and the radiative fluxes vary, the interaction between cloudiness and aerosol, the modifications in the water cycle. Recent observed modifications in the climate variables and detected trends will be compared. The economic and social consequences of climate change are evaluated by analysing direct impacts on migration, tourism and energy markets together with indirect impacts on the economic system. CIRCE has produced results about the consequences on agriculture, forests and ecosystems, human health and air quality. The variability of extreme events in the future scenario and their impacts is also assessed. A rigorous common framework, including a set of quantitative indicators developed specifically for the Mediterranean environment was be developed

  14. Can comprehensive climate impact assessment of terrestrial ecosystems be included in Life Cycle Assessment to support policy decisions?

    NASA Astrophysics Data System (ADS)

    Bright, R. M.; Cherubini, F.; Strømman, A. H.

    2014-12-01

    Decisions resulting in land use change (LUC) or land management change (LMC) rarely consider the changes to surface biophysical properties that lead to immediate land-atmosphere feedbacks and subsequent local- to regional-scale climate changes. This is likely because the sign and magnitude of the various feedback mechanisms depend largely on a multitude of highly site-specific meteorological, eco-physiological, structural, and topographic factors, making them difficult to quantify in the absence of sophisticated models with high spatial and temporal resolution. In a world increasingly dependent on biomass (and thus land) resources for energy and materials, it is unacceptable to continue ignoring important biogeophysical factors linked to land use activities in climate impact assessment studies. Although a number of useful land-atmosphere impact assessment methodologies and metrics have been proposed in recent years, they are rarely applied in the decision making process. Over the last 10-15 years, Life Cycle Assessment (LCA) has emerged as a prominent decision-support tool that relies on well-established IPCC climate metrics, yet land-atmosphere climate metrics are rarely applied. Here, we present a review of the literature enveloping methods and metrics for quantifying or characterizing climate change impacts in terrestrial ecosystems. We highlight their merits and discuss practical limitations with respect to their integration into the LCA framework. We conclude by proposing some solutions for overcoming the integration barrier and suggest some practical ways forward for both climate modelers/metric developers and LCA practitioners.

  15. National housing and impervious surface scenarios for integrated climate impact assessments.

    PubMed

    Bierwagen, Britta G; Theobald, David M; Pyke, Christopher R; Choate, Anne; Groth, Philip; Thomas, John V; Morefield, Philip

    2010-12-07

    Understanding the impacts of climate change on people and the environment requires an understanding of the dynamics of both climate and land use/land cover changes. A range of future climate scenarios is available for the conterminous United States that have been developed based on widely used international greenhouse gas emissions storylines. Climate scenarios derived from these emissions storylines have not been matched with logically consistent land use/cover maps for the United States. This gap is a critical barrier to conducting effective integrated assessments. This study develops novel national scenarios of housing density and impervious surface cover that are logically consistent with emissions storylines. Analysis of these scenarios suggests that combinations of climate and land use/cover can be important in determining environmental conditions regulated under the Clean Air and Clean Water Acts. We found significant differences in patterns of habitat loss and the distribution of potentially impaired watersheds among scenarios, indicating that compact development patterns can reduce habitat loss and the number of impaired watersheds. These scenarios are also associated with lower global greenhouse gas emissions and, consequently, the potential to reduce both the drivers of anthropogenic climate change and the impacts of changing conditions. The residential housing and impervious surface datasets provide a substantial first step toward comprehensive national land use/land cover scenarios, which have broad applicability for integrated assessments as these data and tools are publicly available.

  16. The implication of irrigation in climate change impact assessment: a European-wide study.

    PubMed

    Zhao, Gang; Webber, Heidi; Hoffmann, Holger; Wolf, Joost; Siebert, Stefan; Ewert, Frank

    2015-11-01

    This study evaluates the impacts of projected climate change on irrigation requirements and yields of six crops (winter wheat, winter barley, rapeseed, grain maize, potato, and sugar beet) in Europe. Furthermore, the uncertainty deriving from consideration of irrigation, CO2 effects on crop growth and transpiration, and different climate change scenarios in climate change impact assessments is quantified. Net irrigation requirement (NIR) and yields of the six crops were simulated for a baseline (1982-2006) and three SRES scenarios (B1, B2 and A1B, 2040-2064) under rainfed and irrigated conditions, using a process-based crop model, SIMPLACE . We found that projected climate change decreased NIR of the three winter crops in northern Europe (up to 81 mm), but increased NIR of all the six crops in the Mediterranean regions (up to 182 mm yr(-1) ). Climate change increased yields of the three winter crops and sugar beet in middle and northern regions (up to 36%), but decreased their yields in Mediterranean countries (up to 81%). Consideration of CO2 effects can alter the direction of change in NIR for irrigated crops in the south and of yields for C3 crops in central and northern Europe. Constraining the model to rainfed conditions for spring crops led to a negative bias in simulating climate change impacts on yields (up to 44%), which was proportional to the irrigation ratio of the simulation unit. Impacts on NIR and yields were generally consistent across the three SRES scenarios for the majority of regions in Europe. We conclude that due to the magnitude of irrigation and CO2 effects, they should both be considered in the simulation of climate change impacts on crop production and water availability, particularly for crops and regions with a high proportion of irrigated crop area.

  17. Assessing Impacts of Climate Change on Forests: The State of Biological Modeling

    DOE R&D Accomplishments Database

    Dale, V. H.; Rauscher, H. M.

    1993-04-06

    Models that address the impacts to forests of climate change are reviewed by four levels of biological organization: global, regional or landscape, community, and tree. The models are compared as to their ability to assess changes in greenhouse gas flux, land use, maps of forest type or species composition, forest resource productivity, forest health, biodiversity, and wildlife habitat. No one model can address all of these impacts, but landscape transition models and regional vegetation and land-use models consider the largest number of impacts. Developing landscape vegetation dynamics models of functional groups is suggested as a means to integrate the theory of both landscape ecology and individual tree responses to climate change. Risk assessment methodologies can be adapted to deal with the impacts of climate change at various spatial and temporal scales. Four areas of research development are identified: (1) linking socioeconomic and ecologic models, (2) interfacing forest models at different scales, (3) obtaining data on susceptibility of trees and forest to changes in climate and disturbance regimes, and (4) relating information from different scales.

  18. Assessing impacts of climate change on forests: The state of biological modeling

    SciTech Connect

    Dale, V.H.; Rauscher, H.M.

    1993-04-06

    Models that address the impacts to forests of climate change are reviewed by four levels of biological organization: global, regional or landscape, community, and tree. The models are compared as to their ability to assess changes in greenhouse gas flux, land use, maps of forest type or species composition, forest resource productivity, forest health, biodiversity, and wildlife habitat. No one model can address all of these impacts, but landscape transition models and regional vegetation and land-use models consider the largest number of impacts. Developing landscape vegetation dynamics models of functional groups is suggested as a means to integrate the theory of both landscape ecology and individual tree responses to climate change. Risk assessment methodologies can be adapted to deal with the impacts of climate change at various spatial and temporal scales. Four areas of research development are identified: (1) linking socioeconomic and ecologic models, (2) interfacing forest models at different scales, (3) obtaining data on susceptibility of trees and forest to changes in climate and disturbance regimes, and (4) relating information from different scales.

  19. Enhancing Communication of Climate Impacts Assessments: Examples of Local Stories, Animations and Video.

    NASA Astrophysics Data System (ADS)

    Fitzpatrick, M. F.; Grigholm, B. O.

    2014-12-01

    Comprehensive climate impacts assessments are important vehicles for conveying salient information to the public and policy makers. However, over the last few decades communication of this important information has been hampered for a number of reasons. Firstly, we have a rapidly changing social media landscape, where there are fewer opportunities for in-depth treatment of issues. To compete in this arena, climate information needs to be packaged in sound bites, and much of the nuance and complexity may be lost. Secondly, scientific literacy among the general U.S. population is not particularly high, which creates a barrier to understanding and limits the audiences that can be reached. Thirdly, climate science has been undermined by misinformation over many years often funded by fossil fuel interests. While this latter obstacle is clearly diminishing - largely in the face of evidence from the undeniable climate impacts that are already being seen by communities - there has been much confusion generated to date. Despite the fact that 97% of active climate scientists agree that the planet is warming as a result of human greenhouse gas emission, only 42% of the U.S. population agrees (Pew Research, 2013). In the face of these challenges, much of the work that the Union of Concerned Scientists does to translate climate impacts assessments has shifted to visuals, animations, and videos that people can relate to and connect with more readily. In this session we will share some of the general design features, discuss target audiences, and outline production limitations of several local stories involving videos and animations, as well as present some recent infographics. One example of this work are case studies that focus on sea level rise and involve a local personality who can speak to climate impacts at the community level. We understand the power of visual images and stories in creating messages that stick, and we use this in designing animations that explain the

  20. Assessing the Impacts of Climate Change on the Water-Energy Nexus

    NASA Astrophysics Data System (ADS)

    Mo, W.; Jacobs, J. M.

    2014-12-01

    Water-energy nexus refers to the fact that a lot of energy is used for treating and delivering water, and a large amount of water is needed for energy production. This interrelation reinforces water and energy consumptions and challenges the sustainable management of both resources in light of growing population, developing economy, and dwindling resources. Climate change often exacerbates the negative effects of the water-energy nexus by intervening water and energy allocation, availability, and quality, forcing communities to seek more energy dependent alternative water sources and/or more water dependent alternative energy sources. The climate-water-energy interrelations play an important role in water and energy management, yet our understandings on the interactions between climate and the water-energy nexus are still very limited. Therefore, this study aims at qualitatively and quantitatively assessing the impacts of climate change from the water-energy nexus perspective by investigating previous literatures, case studies, climate change patterns, and recent extreme climate events. Management difficulties resulted from climate related source shifts as well as policy and regulation changes will be illustrated and discussed. Research needs and gaps on the climate-water-energy interrelations will be addressed.

  1. Possible impact of climate change on meningitis in northwest Nigeria: an assessment using CMIP5 climate model simulations

    NASA Astrophysics Data System (ADS)

    Abdussalam, Auwal; Monaghan, Andrew; Steinhoff, Daniel; Dukic, Vanja; Hayden, Mary; Hopson, Thomas; Thornes, John; Leckebusch, Gregor

    2014-05-01

    Meningitis remains a major health burden throughout Sahelian Africa, especially in heavily-populated northwest Nigeria. Cases exhibit strong sensitivity to intra- and inter-annual climate variability, peaking during the hot and dry boreal spring months, raising concern that future climate change may increase the incidence of meningitis in the region. The impact of future climate change on meningitis risk in northwest Nigeria is assessed by forcing an empirical model of meningitis with monthly simulations from an ensemble of thirteen statistically downscaled global climate model projections from the Coupled Model Intercomparison Experiment Phase 5 (CMIP5) for RCPs 2.6, 6.0 and 8.5 scenarios. The results suggest future temperature increases due to climate change has the potential to significantly increase meningitis cases in both the early and late 21st century, and to increase the length of the meningitis season in the late century. March cases may increase from 23 per 100,000 people for present day (1990-2005), to 29-30 per 100,000 (p<0.01) in the early century (2020-2035) and 31-42 per 100,000 (p<0.01) in the late century (2060-2075), the range being dependent on the emissions scenario. It is noteworthy that these results represent the climatological potential for increased cases due to climate change, as we assume current prevention and treatment strategies remain similar in the future.

  2. Statistical Downscaling and Bias Correction of Climate Model Outputs for Climate Change Impact Assessment in the U.S. Northeast

    NASA Technical Reports Server (NTRS)

    Ahmed, Kazi Farzan; Wang, Guiling; Silander, John; Wilson, Adam M.; Allen, Jenica M.; Horton, Radley; Anyah, Richard

    2013-01-01

    Statistical downscaling can be used to efficiently downscale a large number of General Circulation Model (GCM) outputs to a fine temporal and spatial scale. To facilitate regional impact assessments, this study statistically downscales (to 1/8deg spatial resolution) and corrects the bias of daily maximum and minimum temperature and daily precipitation data from six GCMs and four Regional Climate Models (RCMs) for the northeast United States (US) using the Statistical Downscaling and Bias Correction (SDBC) approach. Based on these downscaled data from multiple models, five extreme indices were analyzed for the future climate to quantify future changes of climate extremes. For a subset of models and indices, results based on raw and bias corrected model outputs for the present-day climate were compared with observations, which demonstrated that bias correction is important not only for GCM outputs, but also for RCM outputs. For future climate, bias correction led to a higher level of agreements among the models in predicting the magnitude and capturing the spatial pattern of the extreme climate indices. We found that the incorporation of dynamical downscaling as an intermediate step does not lead to considerable differences in the results of statistical downscaling for the study domain.

  3. Assessment of climate change impacts on diffuse nutrient and pesticide fluxes at the watershed scale

    NASA Astrophysics Data System (ADS)

    Arabi, M.; Records, R.; Ahmadi, M.

    2012-12-01

    The study aims to assess the potential impacts of the changing climate on pollutant fluxes including sediment, phosphorus, nitrogen, and atrazine at the watershed scale over the 21st century. Specific objectives are (i) to understand changes in climatic conditions under a comprehensive set of 112 climate projections consistent with Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios (IPCC-SRES) emission pathways and models; (ii) to fully enumerate and synthesize hydrologic and water quality responses to projected climate scenarios; and (iii) to investigate changes in dissolved and particulate water quality constituents. These objectives were investigated in a predominantly agricultural watershed in the Midwestern United States. The hydrologic model Soil and Water Assessment Tool (SWAT) was utilized to represent processes governing hydrology and water quality within the watershed. The SWAT model was driven with a suite of 112 distinct dynamically downscaled climate projections representing IPCC-SERES low, moderate, and high greenhouse gas emission pathways. Statistical downscaling procedures were used to derive daily climatic values for meteorological stations in the study area from grid-based dynamically downscaled monthly predictions. Predicted changes in hydroclimatic, nutrient, and pesticide fluxes under the 112 distinct simulations were then analyzed by emission pathway ensemble and characterized over early-, mid-, and late-century assessment periods (2015-2034, 2045-2064, and 2080-2099). Clear warming trends were apparent for temperature, while increases in precipitation were insignificant. Stream discharge, sediment yield, and total nutrient yields did not differ significantly between assessment periods, although atrazine yields were predicted to be slightly greater by late-century. However, the proportion of dissolved to total nutrients increased, with nitrate and soluble phosphorus yields increasing significantly between early

  4. Assessments of regional climate change and its impacts in Northern Europe

    NASA Astrophysics Data System (ADS)

    Omstedt, Anders; von Storch, Hans; Reckermann, Marcus; Quante, Markus

    2015-04-01

    Regional climate change assessments are urgently needed to complement the big picture with regional results and scenarios of higher resolution and with relevance for local decision makers and stakeholders. A new type of assessment report originated in the original BACC report of 2008 (BALTEX Assessment of Climate Change for the Baltic Sea region) which has served as role model for other assessments published or in preparation. It represents an approach to assessing and making available current knowledge on regional climate change and its regional impacts on the physical, biogeochemical and biological environment (ecosystems, socio-economic sphere). Reports of this type which are available or underway are the original BACC book (2008), the second BACC book (2015), the climate report for the greater Hamburg area (2011), and the NOSCCA report (North Sea Climate Change Assessment) which is expected to be published in 2016. The assessments are produced by teams of scientists from the region, led by lead authors who recruit experts from relevant topics to contribute. The process is not externally funded and completely based on published scientific evidence, and not biased by political or economic interest groups. The BACC-type reports aim to bring together consolidated knowledge that has broad consensus in the scientific community, but also acknowledging issues for which contradicting opinions are found in the literature, so that no consensus can be reached ("consensus on dissensus"). An international steering committee is responsible for overlooking the process, and all manuscripts are anonymously peer-reviewed by independent international experts. An outstanding outreach aspect of these reports is the close collaboration with regional stakeholders (for the BACC reports: HELCOM, the intergovernmental Baltic Marine Environment Protection Commission and the major regional science-policy interface in the Baltic Sea region; for the Hamburg climate report: the Hamburg city

  5. Heat-related respiratory hospital admissions in Europe in a changing climate: a health impact assessment

    PubMed Central

    Åström, Christofer; Orru, Hans; Rocklöv, Joacim; Strandberg, Gustav; Ebi, Kristie L; Forsberg, Bertil

    2013-01-01

    Objectives Respiratory diseases are ranked second in Europe in terms of mortality, prevalence and costs. Studies have shown that extreme heat has a large impact on mortality and morbidity, with a large relative increase for respiratory diseases. Expected increases in mean temperature and the number of extreme heat events over the coming decades due to climate change raise questions about the possible health impacts. We assess the number of heat-related respiratory hospital admissions in a future with a different climate. Design A Europe-wide health impact assessment. Setting An assessment for each of the EU27 countries. Methods Heat-related hospital admissions under a changing climate are projected using multicity epidemiological exposure–response relationships applied to gridded population data and country-specific baseline respiratory hospital admission rates. Times-series of temperatures are simulated with a regional climate model based on four global climate models, under two greenhouse gas emission scenarios. Results Between a reference period (1981–2010) and a future period (2021–2050), the total number of respiratory hospital admissions attributed to heat is projected to be larger in southern Europe, with three times more heat attributed respiratory hospital admissions in the future period. The smallest change was estimated in Eastern Europe with about a twofold increase. For all of Europe, the number of heat-related respiratory hospital admissions is projected to be 26 000 annually in the future period compared with 11 000 in the reference period. Conclusions The results suggest that the projected effects of climate change on temperature and the number of extreme heat events could substantially influence respiratory morbidity across Europe. PMID:23355662

  6. Assessing Portuguese Guadiana Basin water management impacts under climate change and paleoclimate variability

    NASA Astrophysics Data System (ADS)

    Maia, Rodrigo; Oliveira, Bruno; Ramos, Vanessa; Brekke, Levi

    2014-05-01

    The water balance in each reservoir and the subsequent, related, water resource management decisions are, presently, highly information dependent and are therefore often limited to a reactive response (even if aimed towards preventing future issues regarding the water system). Taking advantage of the availability of scenarios for climate projections, it is now possible to estimate the likely future evolution of climate which represents an important stepping stone towards proactive, adaptative, water resource management. The purpose of the present study was to assess the potential effects of climate change in terms of temperature, precipitation, runoff and water availability/scarcity for application in water resource management decisions. The analysis here presented was applied to the Portuguese portion of the Guadiana River Basin, using a combination of observed climate and runoff data and the results of the Global Climate Models. The Guadiana River Basin was represented by its reservoirs on the Portuguese portion of the basin and, for the future period, an estimated value of the inflows originating in the Spanish part of the Basin. The change in climate was determined in terms of relative and absolute variations of climate (precipitation and temperature) and hydrology (runoff and water balance related information). Apart from the previously referred data, an hydrological model and a water management model were applied so as to obtain an extended range of data regarding runoff generation (calibrated to observed data) and water balance in the reservoirs (considering the climate change impacts in the inflows, outflows and water consumption). The water management model was defined in order to represent the reservoirs interaction including upstream to downstream discharges and water transfers. Under the present climate change context, decision-makers and stakeholders are ever more vulnerable to the uncertainties of climate. Projected climate in the Guadiana basin

  7. Satellite remote sensing assessment of climate impact on forest vegetation dynamics

    NASA Astrophysics Data System (ADS)

    Zoran, M.

    2009-04-01

    Forest vegetation phenology constitutes an efficient bio-indicator of impacts of climate and anthropogenic changes and a key parameter for understanding and modelling vegetation-climate interactions. Climate variability represents the ensemble of net radiation, precipitation, wind and temperature characteristic for a region in a certain time scale (e.g.monthly, seasonal annual). The temporal and/or spatial sensitivity of forest vegetation dynamics to climate variability is used to characterize the quantitative relationship between these two quantities in temporal and/or spatial scales. So, climate variability has a great impact on the forest vegetation dynamics. Satellite remote sensing is a very useful tool to assess the main phenological events based on tracking significant changes on temporal trajectories of Normalized Difference Vegetation Index (NDVIs), which requires NDVI time-series with good time resolution, over homogeneous area, cloud-free and not affected by atmospheric and geometric effects and variations in sensor characteristics (calibration, spectral responses). Spatio-temporal vegetation dynamics have been quantified as the total amount of vegetation (mean NDVI) and the seasonal difference (annual NDVI amplitude) by a time series analysis of NDVI satellite images with the Harmonic ANalysis of Time Series algorithm. A climate indicator (CI) was created from meteorological data (precipitation over net radiation). The relationships between the vegetation dynamics and the CI have been determined spatially and temporally. The driest test regions prove to be the most sensitive to climate impact. The spatial and temporal patterns of the mean NDVI are the same, while they are partially different for the seasonal difference. The aim of this paper was to quantify this impact over a forest ecosystem placed in the North-Eastern part of Bucharest town, Romania, with Normalized Difference Vegetation Index (NDVI) parameter extracted from IKONOS and LANDSAT TM and

  8. Assessment of Climate Impact Changes on Forest Vegetation Dynamics by Satellite Remote Sensing

    NASA Astrophysics Data System (ADS)

    Zoran, Maria

    Climate variability represents the ensemble of net radiation, precipitation, wind and temper-ature characteristic for a region in a certain time scale (e.g.monthly, seasonal annual). The temporal and/or spatial sensitivity of forest vegetation dynamics to climate variability is used to characterize the quantitative relationship between these two quantities in temporal and/or spatial scales. So, climate variability has a great impact on the forest vegetation dynamics. Forest vegetation phenology constitutes an efficient bio-indicator of climate and anthropogenic changes impacts and a key parameter for understanding and modelling vegetation-climate in-teractions. Satellite remote sensing is a very useful tool to assess the main phenological events based on tracking significant changes on temporal trajectories of Normalized Difference Vege-tation Index (NDVIs), which requires NDVI time-series with good time resolution, over homo-geneous area, cloud-free and not affected by atmospheric and geometric effects and variations in sensor characteristics (calibration, spectral responses). Spatio-temporal vegetation dynamics have been quantified as the total amount of vegetation (mean NDVI) and the seasonal difference (annual NDVI amplitude) by a time series analysis of NDVI satellite images with the Harmonic ANalysis of Time Series algorithm. A climate indicator (CI) was created from meteorological data (precipitation over net radiation). The relationships between the vegetation dynamics and the CI have been determined spatially and temporally. The driest test regions prove to be the most sensitive to climate impact. The spatial and temporal patterns of the mean NDVI are the same, while they are partially different for the seasonal difference. The aim of this paper was to quantify this impact over a forest ecosystem placed in the North-Eastern part of Bucharest town, Romania, with Normalized Difference Vegetation Index (NDVI) parameter extracted from IKONOS and LANDSAT TM and

  9. The Template for Assessing Climate Change Impacts and Management Options (TACCIMO): Science at Your Fingertips

    NASA Astrophysics Data System (ADS)

    Jennings, L. N.; Treasure, E.; Moore Myers, J.; McNulty, S.

    2012-12-01

    There is an ever-increasing volume of useful scientific knowledge about climate change effects and management options for natural ecosystems. Agencies such as the USDA Forest Service have been charged with the need to evaluate this body of knowledge and if necessary adapt to the impacts of climate change in their forest planning and management. However, the combined volume of existing information and rate of development of new information, lack of climate change specialists, and limited technology transfer mechanisms make efficient access and use difficult. The Template for Assessing Climate Change Impacts and Management Options (TACCIMO) addresses this difficulty through its publically accessible web-based tool that puts current and concise climate change science at the fingertips of forest planners and managers. A collaborative product of the USDA Forest Service Research Stations and the National Forest System, TACCIMO integrates peer-reviewed research with management and planning options through search and reporting tools that connect land managers with information they can trust. TACCIMO highlights elements from the wealth of climate change science with attention to what natural resource planners and managers need through a searchable repository of over 4,000 effects of climate change and close to 1,000 adaptive management options, all excerpted from a growing body of peer-reviewed scientific literature. A geospatial mapping application provides downscaled climate data for the nation and other spatially explicit models relevant to evaluating climate change impacts on forests. Report generators assist users in capturing outputs specific to a given location and resource area in a consistent and organized manner. For USDA Forest Service users, science findings can be readily linked with management conditions and capabilities from national forest management plans. The development of TACCIMO was guided by interactions with natural resource professionals, resulting

  10. Towards an integrated economic assessment of climate change impacts on agriculture

    NASA Astrophysics Data System (ADS)

    Lotze-Campen, H.; Piontek, F.; Stevanovic, M.; Popp, A.; Bauer, N.; Dietrich, J.; Mueller, C.; Schmitz, C.

    2012-12-01

    For a detailed understanding of the effects of climate change on global agricultural production systems, it is essential to consider the variability of climate change patterns as projected by General Circulation Models (GCMs), their bio-physical impact on crops and the response in land-use patterns and markets. So far, approaches that account for the interaction of bio-physical and economic impacts are largely lacking. We present an integrative analysis by using a soft-coupled system of a biophysical impact model (LPJmL, Bondeau et al. 2007), an economically driven land use model (MAgPIE, Lotze-Campen et al. 2008) and an integrated assessment model (ReMIND-R, Leimbach et al. 2010) to study climate change impacts and economic damages in the agricultural sector. First, the dynamic global vegetation and hydrology model LPJmL is used to derive climate change impacts on crop yields for wheat, maize, soy, rice and other major crops. A range of different climate projections is used, taken from the dataset provided by the Intersectoral Impact Model Intercomparison Project (ISI-MIP, www.isi-mip.org), which bias-corrected the latest CMIP5 climate data (Taylor et al. 2011). Crop yield impacts cover scenarios with and without CO2 fertilization as well as different Representative Concentration Pathways (RCPs) and different GCMs. With increasing temperature towards the end of the century yields generally decrease in tropical and subtropical regions, while they tend to benefit in higher latitudes. LPJmL results have been compared to other global crop models in the Agricultural Model Intercomparison and Improvement Project (AgMIP, www.agmip.org). Second, changes in crop yields are analysed with the spatially explicit agro-economic model MAgPIE, which covers their interaction with economic development and changes in food demand. Changes in prices as well as welfare changes of producer and consumer surplus are taken as economic indicators. Due to climate-change related reductions in

  11. The AgMIP Wheat Pilot: A multi-model approach for climate change impact assessments.

    NASA Astrophysics Data System (ADS)

    Asseng, S.

    2012-12-01

    Asseng S., F. Ewert, C. Rosenzweig, J.W. Jones, J.L. Hatfield, A. Ruane, K.J. Boote, P. Thorburn, R.P. Rötter, D. Cammarano, N. Brisson, B. Basso, P. Martre, D. Ripoche, P. Bertuzzi, P. Steduto, L. Heng, M.A. Semenov, P. Stratonovitch, C. Stockle, G. O'Leary, P.K. Aggarwal, S. Naresh Kumar, C. Izaurralde, J.W. White, L.A. Hunt, R. Grant, K.C. Kersebaum, T. Palosuo, J. Hooker, T. Osborne, J. Wolf, I. Supit, J.E. Olesen, J. Doltra, C. Nendel, S. Gayler, J. Ingwersen, E. Priesack, T. Streck, F. Tao, C. Müller, K. Waha, R. Goldberg, C. Angulo, I. Shcherbak, C. Biernath, D. Wallach, M. Travasso, A. Challinor. Abstract: Crop simulation models have been used to assess the impact of climate change on agriculture. These assessments are often carried out with a single model in a limited number of environments and without determining the uncertainty of simulated impacts. There is a need for a coordinated effort bringing together multiple modeling teams which has been recognized by the Agricultural Model Intercomparison and Improvement Project (AgMIP; www.agmip.org). AgMIP aims to provide more robust estimates of climate impacts on crop yields and agricultural trade, including estimates of associated uncertainties. Here, we present the AgMIP Wheat Pilot Study, the most comprehensive model intercomparison of the response of wheat crops to climate change to date, including 27 wheat models. Crop model uncertainties in assessing climate change impacts are explored and compared with field experimental and Global Circulation Model uncertainties. Causes of impact uncertainties and ways to reduce these are discussed.

  12. Climate change impact and adaptation research requires integrated assessment and farming systems analysis: a case study in the Netherlands

    NASA Astrophysics Data System (ADS)

    Reidsma, Pytrik; Wolf, Joost; Kanellopoulos, Argyris; Schaap, Ben F.; Mandryk, Maryia; Verhagen, Jan; van Ittersum, Martin K.

    2015-04-01

    Rather than on crop modelling only, climate change impact assessments in agriculture need to be based on integrated assessment and farming systems analysis, and account for adaptation at different levels. With a case study for Flevoland, the Netherlands, we illustrate that (1) crop models cannot account for all relevant climate change impacts and adaptation options, and (2) changes in technology, policy and prices have had and are likely to have larger impacts on farms than climate change. While crop modelling indicates positive impacts of climate change on yields of major crops in 2050, a semi-quantitative and participatory method assessing impacts of extreme events shows that there are nevertheless several climate risks. A range of adaptation measures are, however, available to reduce possible negative effects at crop level. In addition, at farm level farmers can change cropping patterns, and adjust inputs and outputs. Also farm structural change will influence impacts and adaptation. While the 5th IPCC report is more negative regarding impacts of climate change on agriculture compared to the previous report, also for temperate regions, our results show that when putting climate change in context of other drivers, and when explicitly accounting for adaptation at crop and farm level, impacts may be less negative in some regions and opportunities are revealed. These results refer to a temperate region, but an integrated assessment may also change perspectives on climate change for other parts of the world.

  13. Assessing the impact of future land use and land cover changes on climate over Brazilian semiarid

    NASA Astrophysics Data System (ADS)

    Cunha, A. M.; Alvalá, R. S.; Kubota, P. Y.; Vieira, R.

    2013-12-01

    The continental surface vegetal cover has been considerably changed by human activities, mainly through natural vegetation conversion in grasslands. Such changes in surface cover may impact the regional and global climates, through of the changes in biophysical processes and CO2 exchanges between vegetation and atmosphere. In recent decades, most of the Brazilian territory has been presenting transformation in the land use/cover spatial patterns. The typical vegetation of the Brazilian semiarid, known as caatinga (closed shrubland) had been replaced by pasture lands. Based on that, the main objective of this work was to investigate the impacts of future land cover and land use changes (LCLUC) on surface processes and on the climate of Brazilian semiarid region. Numerical experiments using the AGCM/CPTEC/IBIS were performed in order to investigate the impacts of LCLUC on the climate of Brazilian semiarid due to the replacement of natural vegetation by pasture and degraded areas. The climate impacts of LUCC were assessed using climate simulations considering two scenarios of vegetation distribution: i) Potential Vegetation (Control) and ii) Future scenario of the vegetation: maximum pasture limited by areas of desert and semidesert. These degraded areas were obtained from the future projection of the biome distribution in South America developed by Salazar Velasquez (2009) using CPTEC PVMReg and emission scenarios A2 of the Intergovernmental Panel on Climate Change (IPCC). In general, the simulation results showed that the LCLUC, due to the changes in relevant surface variables, has caused alterations in local and neighborhood regions climate. The LCLUC leads to a decrease in mean rainfall during dry season at study area. A meridional dipole pattern with near surface temperature increase (reduction) in the northern (southern) areas of semiarid was found. The results also highlight that LUCC led to changes in the components of the surface energy and carbon balance

  14. Assessing the Climate Change Impact on Rainfall IDF Curves in the Apalachicola River Basin, Florida

    NASA Astrophysics Data System (ADS)

    Wang, D.; Hagen, S. C.; Yeh, G.; Bacopoulos, P.

    2010-12-01

    To model the climate change impact on the hydrology of the coastal area, both sea level rise and the inland precipitation and temperature change need to be considered. The change of rainfall characteristics especially for extreme events, which are represented by rainfall intensity-duration-frequency (IDF) curves, is important for the water flow and sediment transport to and within coastal ecosystems. Predicted future climate change impacts for Florida include higher temperatures and increases in precipitation, leading to an intensification of the hydrologic cycle. There are several challenges to predict the IDF curves under future climate change scenarios: 1) GCMs (general circulation models) or RCMs (regional climate models) perform well for general statistics (such as annual or monthly rainfall) but not for extreme rainfall events at the local scale; 2) the temporal disaggregation of rainfall from GCM or RCM may be needed, e.g., from daily to hourly. Taking the Apalachicola River Basin in Florida as an example, this study assesses the change of IDF curves from baseline (e.g., current condition) to the future (e.g., 2070-2100) by two methods. One method is to construct a statistical IDF model based on the long-term rainfall records where the change of IDF curves is investigated from a retrospective view. The statistical model is applied to predict the IDF curves in the future. The other method is to assess the IDF curve changes using an ensemble of RCMs. The results from each approach will be compared and contrasted, and shown to be beneficial for simulating hydrodynamics and sediment transport over inland areas when assessing impacts of climate change.

  15. Climate change impact assessment in Veneto and Friuli Plain groundwater. Part II: a spatially resolved regional risk assessment.

    PubMed

    Pasini, S; Torresan, S; Rizzi, J; Zabeo, A; Critto, A; Marcomini, A

    2012-12-01

    Climate change impact assessment on water resources has received high international attention over the last two decades, due to the observed global warming and its consequences at the global to local scale. In particular, climate-related risks for groundwater and related ecosystems pose a great concern to scientists and water authorities involved in the protection of these valuable resources. The close link of global warming with water cycle alterations encourages research to deepen current knowledge on relationships between climate trends and status of water systems, and to develop predictive tools for their sustainable management, copying with key principles of EU water policy. Within the European project Life+ TRUST (Tool for Regional-scale assessment of groundwater Storage improvement in adaptation to climaTe change), a Regional Risk Assessment (RRA) methodology was developed in order to identify impacts from climate change on groundwater and associated ecosystems (e.g. surface waters, agricultural areas, natural environments) and to rank areas and receptors at risk in the high and middle Veneto and Friuli Plain (Italy). Based on an integrated analysis of impacts, vulnerability and risks linked to climate change at the regional scale, a RRA framework complying with the Sources-Pathway-Receptor-Consequence (SPRC) approach was defined. Relevant impacts on groundwater and surface waters (i.e. groundwater level variations, changes in nitrate infiltration processes, changes in water availability for irrigation) were selected and analyzed through hazard scenario, exposure, susceptibility and risk assessment. The RRA methodology used hazard scenarios constructed through global and high resolution model simulations for the 2071-2100 period, according to IPCC A1B emission scenario in order to produce useful indications for future risk prioritization and to support the addressing of adaptation measures, primarily Managed Artificial Recharge (MAR) techniques. Relevant

  16. Assessment of the impact of climate change on the olive flowering in Calabria (southern Italy)

    NASA Astrophysics Data System (ADS)

    Avolio, Elenio; Orlandi, Fabio; Bellecci, Carlo; Fornaciari, Marco; Federico, Stefano

    2012-02-01

    In phenological studies, plant development and its relationship with meteorological conditions are considered in order to investigate the influence of climatic changes on the characteristics of many crop species. In this work, the impact of climate change on the flowering of the olive tree ( Olea europaea L.) in Calabria, southern Italy, has been studied. Olive is one of the most important plant species in the Mediterranean area and, at the same time, Calabria is one of the most representative regions of this area, both geographically and climatically. The work is divided into two main research activities. First, the behaviour of olive tree in Calabria and the influence of temperature on phenological phases of this crop are investigated. An aerobiological method is used to determine the olive flowering dates through the analysis of pollen data collected in three experimental fields for an 11-year study period (1999-2009). Second, the study of climate change in Calabria at high spatial and temporal resolution is performed. A dynamical downscaling procedure is applied for the regionalization of large-scale climate analysis derived from general circulation models for two representative climatic periods (1981-2000 and 2081-2100); the A2 IPCC scenario is used for future climate projections. The final part of this work is the integration of the results of the two research activities to predict the olive flowering variation for the future climatic conditions. In agreement with our previous works, we found a significant correlation between the phenological phases and temperature. For the twenty-first century, an advance of pollen season in Calabria of about 9 days, on average, is expected for each degree of temperature rise. From phenological model results, on the basis of future climate predictions over Calabria, an anticipation of maximum olive flowering between 10 and 34 days is expected, depending on the area. The results of this work are useful for adaptation and

  17. Rising to the Challenge of Climate Impact Assessment in the Arctic (Invited)

    NASA Astrophysics Data System (ADS)

    Hinzman, L. D.

    2013-12-01

    The environmental changes ongoing in Arctic Regions have clearly demonstrated the climate is changing however assessing and predicting the impacts upon the physical and biological systems remains an important research challenge. To truly understand the evolution of the environment in response to a warming climate, we cannot investigate single components in isolation. We must change our perspective to include the dynamic linkages and feedbacks among system components, including physical and biological processes and in some cases societal interactions. The land areas of the Arctic are changing rapidly. The permafrost is degrading, lakes are draining, soils are getting drier, plant and animal species are migrating northward, snow is melting earlier and returning later. The marine system is also experiencing marked changes, most notably loss of sea ice, warming of deeper layers, changes in cloudiness and weather, acidification and migration of species. Trends of decreasing sea ice and increased open-water fetch, combined with warming air and ground temperatures, result in higher wave energy, increased seasonal thaw, and accelerated coastal retreat along large parts of circum-Arctic coast. All of these changes are having a significant impact upon local environment, but these changes are occurring over such a large area, they are beginning to affect regional and perhaps even global climate. We will not be able accurately forecast the impacts of changing climate conditions until we can accurately incorporate the processes of those dynamics in the integrated system.

  18. Phenology as an Integrative Science for Assessment of Global Climate Change Impacts

    NASA Astrophysics Data System (ADS)

    Weltzin, J.; Losleben, M. V.

    2007-12-01

    Phenology is the study of periodic plant and animal life cycle events and how these are influenced by seasonal and interannual variations in climate. Examples include the timing of leafing and flowering, agricultural crop stages, insect emergence, and animal migration. All of these events are sensitive measures of climatic variation and change, are relatively simple to record and understand, and are vital to both the scientific and public interest. Integration of spatially-extensive phenological data and models with both short and long-term climatic forecasts offer a powerful agent for human adaptation to ongoing and future climate change. However, a new data resource of national scale is needed to capture the valuable information potential of phenological responses to climate change; to study its nature, pace and the effects of ecosystem function; and to understand connectivity and synchrony among species. The USA National Phenology Network (USA-NPN) is being designed and organized to engage federal agencies, environmental networks and field stations, educational institutions, and mass participation by citizen scientists to create this data resource, and develop phenology research potential. This presentation illustrates the variety of source, scale, and use of phenology in assessing current and future global climate change impacts.

  19. European monitoring systems and data for assessing environmental and climate impacts on human infectious diseases.

    PubMed

    Nichols, Gordon L; Andersson, Yvonne; Lindgren, Elisabet; Devaux, Isabelle; Semenza, Jan C

    2014-04-09

    Surveillance is critical to understanding the epidemiology and control of infectious diseases. The growing concern over climate and other drivers that may increase infectious disease threats to future generations has stimulated a review of the surveillance systems and environmental data sources that might be used to assess future health impacts from climate change in Europe. We present an overview of organizations, agencies and institutions that are responsible for infectious disease surveillance in Europe. We describe the surveillance systems, tracking tools, communication channels, information exchange and outputs in light of environmental and climatic drivers of infectious diseases. We discuss environmental and climatic data sets that lend themselves to epidemiological analysis. Many of the environmental data sets have a relatively uniform quality across EU Member States because they are based on satellite measurements or EU funded FP6 or FP7 projects with full EU coverage. Case-reporting systems for surveillance of infectious diseases should include clear and consistent case definitions and reporting formats that are geo-located at an appropriate resolution. This will allow linkage to environmental, social and climatic sources that will enable risk assessments, future threat evaluations, outbreak management and interventions to reduce disease burden.

  20. Assessing climate impacts and risks of ocean albedo modification in the Arctic

    NASA Astrophysics Data System (ADS)

    Mengis, N.; Martin, T.; Keller, D. P.; Oschlies, A.

    2016-05-01

    The ice albedo feedback is one of the key factors of accelerated temperature increase in the high northern latitudes under global warming. This study assesses climate impacts and risks of idealized Arctic Ocean albedo modification (AOAM), a proposed climate engineering method, during transient climate change simulations with varying representative concentration pathway (RCP) scenarios. We find no potential for reversing trends in all assessed Arctic climate metrics under increasing atmospheric CO2 concentrations. AOAM only yields an initial offset during the first years after implementation. Nevertheless, sea ice loss can be delayed by 25(60) years in the RCP8.5(RCP4.5) scenario and the delayed thawing of permafrost soils in the AOAM simulations prevents up to 40(32) Pg of carbon from being released by 2100. AOAM initially dampens the decline of the Atlantic Meridional Overturning and delays the onset of open ocean deep convection in the Nordic Seas under the RCP scenarios. Both these processes cause a subsurface warming signal in the AOAM simulations relative to the default RCP simulations with the potential to destabilize Arctic marine gas hydrates. Furthermore, in 2100, the RCP8.5 AOAM simulation diverts more from the 2005-2015 reference state in many climate metrics than the RCP4.5 simulation without AOAM. Considering the demonstrated risks, we conclude that concerning longer time scales, reductions in emissions remain the safest and most effective way to prevent severe changes in the Arctic.

  1. European Monitoring Systems and Data for Assessing Environmental and Climate Impacts on Human Infectious Diseases

    PubMed Central

    Nichols, Gordon L.; Andersson, Yvonne; Lindgren, Elisabet; Devaux, Isabelle; Semenza, Jan C.

    2014-01-01

    Surveillance is critical to understanding the epidemiology and control of infectious diseases. The growing concern over climate and other drivers that may increase infectious disease threats to future generations has stimulated a review of the surveillance systems and environmental data sources that might be used to assess future health impacts from climate change in Europe. We present an overview of organizations, agencies and institutions that are responsible for infectious disease surveillance in Europe. We describe the surveillance systems, tracking tools, communication channels, information exchange and outputs in light of environmental and climatic drivers of infectious diseases. We discuss environmental and climatic data sets that lend themselves to epidemiological analysis. Many of the environmental data sets have a relatively uniform quality across EU Member States because they are based on satellite measurements or EU funded FP6 or FP7 projects with full EU coverage. Case-reporting systems for surveillance of infectious diseases should include clear and consistent case definitions and reporting formats that are geo-located at an appropriate resolution. This will allow linkage to environmental, social and climatic sources that will enable risk assessments, future threat evaluations, outbreak management and interventions to reduce disease burden. PMID:24722542

  2. Assessing climate change impacts on water resources in remote mountain regions

    NASA Astrophysics Data System (ADS)

    Buytaert, Wouter; De Bièvre, Bert

    2013-04-01

    From a water resources perspective, remote mountain regions are often considered as a basket case. They are often regions where poverty is often interlocked with multiple threats to water supply, data scarcity, and high uncertainties. In these environments, it is paramount to generate locally relevant knowledge about water resources and how they impact local livelihoods. This is often problematic. Existing environmental data collection tends to be geographically biased towards more densely populated regions, and prioritized towards strategic economic activities. Data may also be locked behind institutional and technological barriers. These issues create a "knowledge trap" for data-poor regions, which is especially acute in remote and hard-to-reach mountain regions. We present lessons learned from a decade of water resources research in remote mountain regions of the Andes, Africa and South Asia. We review the entire tool chain of assessing climate change impacts on water resources, including the interrogation and downscaling of global circulation models, translating climate variables in water availability and access, and assessing local vulnerability. In global circulation models, mountain regions often stand out as regions of high uncertainties and lack of agreement of future trends. This is partly a technical artifact because of the different resolution and representation of mountain topography, but it also highlights fundamental uncertainties in climate impacts on mountain climate. This problem also affects downscaling efforts, because regional climate models should be run in very high spatial resolution to resolve local gradients, which is computationally very expensive. At the same time statistical downscaling methods may fail to find significant relations between local climate properties and synoptic processes. Further uncertainties are introduced when downscaled climate variables such as precipitation and temperature are to be translated in hydrologically

  3. Assessment of climate change impacts on meteorological and hydrological droughts in the Jucar River Basin

    NASA Astrophysics Data System (ADS)

    Marcos-Garcia, Patricia; Pulido-Velazquez, Manuel; Lopez-Nicolas, Antonio

    2016-04-01

    Extreme natural phenomena, and more specifically droughts, constitute a serious environmental, economic and social issue in Southern Mediterranean countries, common in the Mediterranean Spanish basins due to the high temporal and spatial rainfall variability. Drought events are characterized by their complexity, being often difficult to identify and quantify both in time and space, and an universally accepted definition does not even exist. This fact, along with future uncertainty about the duration and intensity of the phenomena on account of climate change, makes necessary increasing the knowledge about the impacts of climate change on droughts in order to design management plans and mitigation strategies. The present abstract aims to evaluate the impact of climate change on both meteorological and hydrological droughts, through the use of a generalization of the Standardized Precipitation Index (SPI). We use the Standardized Flow Index (SFI) to assess the hydrological drought, using flow time series instead of rainfall time series. In the case of the meteorological droughts, the Standardized Precipitation and Evapotranspiration Index (SPEI) has been applied to assess the variability of temperature impacts. In order to characterize climate change impacts on droughts, we have used projections from the CORDEX project (Coordinated Regional Climate Downscaling Experiment). Future rainfall and temperature time series for short (2011-2040) and medium terms (2041-2070) were obtained, applying a quantile mapping method to correct the bias of these time series. Regarding the hydrological drought, the Témez hydrological model has been applied to simulate the impacts of future temperature and rainfall time series on runoff and river discharges. It is a conceptual, lumped and a few parameters hydrological model. Nevertheless, it is necessary to point out the time difference between the meteorological and the hydrological droughts. The case study is the Jucar river basin

  4. Using an ensemble of regional climate models to assess climate change impacts on water scarcity in European river basins.

    PubMed

    Gampe, David; Nikulin, Grigory; Ludwig, Ralf

    2016-12-15

    Climate change will likely increase pressure on the water balances of Mediterranean basins due to decreasing precipitation and rising temperatures. To overcome the issue of data scarcity the hydrological relevant variables total runoff, surface evaporation, precipitation and air temperature are taken from climate model simulations. The ensemble applied in this study consists of 22 simulations, derived from different combinations of four General Circulation Models (GCMs) forcing different Regional Climate Models (RCMs) and two Representative Concentration Pathways (RCPs) at ~12km horizontal resolution provided through the EURO-CORDEX initiative. Four river basins (Adige, Ebro, Evrotas and Sava) are selected and climate change signals for the future period 2035-2065 as compared to the reference period 1981-2010 are investigated. Decreased runoff and evaporation indicate increased water scarcity over the Ebro and the Evrotas, as well as the southern parts of the Adige and the Sava, resulting from a temperature increase of 1-3° and precipitation decrease of up to 30%. Most severe changes are projected for the summer months indicating further pressure on the river basins already at least partly characterized by flow intermittency. The widely used Falkenmark indicator is presented and confirms this tendency and shows the necessity for spatially distributed analysis and high resolution projections. Related uncertainties are addressed by the means of a variance decomposition and model agreement to determine the robustness of the projections. The study highlights the importance of high resolution climate projections and represents a feasible approach to assess climate impacts on water scarcity also in regions that suffer from data scarcity.

  5. A new large initial condition ensemble to assess avoided impacts in a climate mitigation scenario

    NASA Astrophysics Data System (ADS)

    Sanderson, B. M.; Tebaldi, C.; Knutti, R.; Oleson, K. W.

    2014-12-01

    It has recently been demonstrated that when considering timescales of up to 50 years, natural variability may play an equal role to anthropogenic forcing on subcontinental trends for a variety of climate indicators. Thus, for many questions assessing climate impacts on such time and spatial scales, it has become clear that a significant number of ensemble members may be required to produce robust statistics (and especially so for extreme events). However, large ensemble experiments to date have considered the role of variability in a single scenario, leaving uncertain the relationship between the forced climate trajectory and the variability about that path. To address this issue, we present a new, publicly available, 15 member initial condition ensemble of 21st century climate projections for the RCP 4.5 scenario using the CESM1.1 Earth System Model, which we propose as a companion project to the existing 40 member CESM large ensemble which uses the higher greenhouse gas emission future of RCP8.5. This provides a valuable data set for assessing what societal and ecological impacts might be avoided through a moderate mitigation strategy in contrast to a fossil fuel intensive future. We present some early analyses of these combined ensembles to assess to what degree the climate variability can be considered to combine linearly with the underlying forced response. In regions where there is no detectable relationship between the mean state and the variability about the mean trajectory, then linear assumptions can be trivially exploited to utilize a single ensemble or control simulation to characterize the variability in any scenario of interest. We highlight regions where there is a detectable nonlinearity in extreme event frequency, how far in the future they will be manifested and propose mechanisms to account for these effects.

  6. Assessing the impact of climate variability and human activities on streamflow variation

    NASA Astrophysics Data System (ADS)

    Chang, Jianxia; Zhang, Hongxue; Wang, Yimin; Zhu, Yuelu

    2016-04-01

    Water resources in river systems have been changing under the impact of both climate variability and human activities. Assessing the respective impact on decadal streamflow variation is important for water resource management. By using an elasticity-based method and calibrated TOPMODEL and VIC hydrological models, we quantitatively isolated the relative contributions that human activities and climate variability made to decadal streamflow changes in the Jinghe basin, located in the northwest of China. This is an important watershed of the Shaanxi province that supplies drinking water for a population of over 6 million people. The results showed that the maximum value of the moisture index (E0/P) was 1.91 and appeared in 1991-2000, and the decreased speed of streamflow was higher since 1990 compared with 1960-1990. The average annual streamflow from 1990 to 2010 was reduced by 26.96 % compared with the multiyear average value (from 1960 to 2010). The estimates of the impacts of climate variability and human activities on streamflow decreases from the hydrological models were similar to those from the elasticity-based method. The maximum contribution value of human activities was 99 % when averaged over the three methods, and appeared in 1981-1990 due to the effects of soil and water conservation measures and irrigation water withdrawal. Climate variability made the greatest contribution to streamflow reduction in 1991-2000, the values of which was 40.4 %. We emphasized various source of errors and uncertainties that may occur in the hydrological model (parameter and structural uncertainty) and elasticity-based method (model parameter) in climate change impact studies.

  7. Assessing the impact of climate variability and human activities on streamflow variation

    NASA Astrophysics Data System (ADS)

    Chang, J.; Zhang, H.; Wang, Y.; Zhu, Y.

    2015-12-01

    Water resources in river systems have been changing under the impact of both climate variability and human activities. Assessing the respective impact on decadal streamflow variation is important for water resource management. By using an elasticity-based method and calibrated TOPMODEL and VIC hydrological models, we quantitatively isolated the relative contributions that human activities and climate variability made to decadal streamflow changes in Jinghe basin, located in the northwest of China. This is an important watershed of Shaanxi Province that supplies drinking water for a population of over 6 million people. The results showed that the maximum value of the moisture index (E0/P) was 1.91 and appeared in 1991-2000 and that the decreased speed of streamflow was higher since 1990. The average annual streamflow from 1990 to 2010 was reduced by 26.96 % compared with the multi-year average value. The estimates of climate variability and the impact of human activities on streamflow decreases from the hydrological models were similar to those from the elasticity-based method. The maximum contribution value of human activities was appeared in 1981-1990 due to the effects of soil and water conservation measures and irrigation water withdrawal. Climate variability made the greatest contribution to reduction in 1991-2000, the values of which were 99 and 40.4 % when averaged over the three methods. We emphasized various source of errors and uncertainties that may occur in the hydrological model (parameter and structural uncertainty) and elasticity-based method (model parameter) in climate change impact studies.

  8. Assessing Climate change Impacts to Rainfall Intensity-Duration-Frequency Curves over the Florida Panhandle &Peninsula

    NASA Astrophysics Data System (ADS)

    Ghosh, D. K.; Wang, D.; Obeysekera, J.; Hagen, S. C.

    2013-12-01

    The type, amount, intensity and frequency of rainfall are being directly influenced and altered due to potential climate changes. Consideration should be given to a revision of the rainfall intensity-duration-frequency (IDF) curve, developed based on the historical rainfall data, for storm water drainage design and flood control facilities. Proper adaptation by quantifying the potential effects of climate changes is one of the major ways to reduce vulnerability. As a result, updating IDF curves based on the future climate condition is very important for managing the hydraulic structures. In this study, the climate change impact to rainfall IDF curves over the Florida panhandle and peninsula are assessed using the COAPS Regional Downscaling data from the Florida Climate Institute. The COAPS Land-Atmosphere Regional Ensemble Climate Change Experiment for the Southeast United States at 10-km resolution consists of three regional climate models (RCM) by downscaling the general circulation models: the Community Climate System Model (CCSM), the Hadley Centre Coupled Model version 3 (HadCM3), and the Geophysical Fluid Dynamics Laboratory GCM (GFDL). The RCMs have been performed for the historical simulations (1969-1999) and the future projections (2038-2070) under the AR4 A2 emissions scenario. In this study, more than 30-years of hourly precipitation data are gathered from 57 weather stations in Florida. The performance of the RCMs is evaluated by comparing historical simulations with observations. The parameters of generalized extreme value (GEV) distributions including location, scale, and shape parameters are mapped for the period of 1969-1999 and 2038-2070. The spatial distribution map of rainfall intensity under various durations and return periods will be presented. The response on the Florida panhandle will be compared and contrasted with that of the larger peninsula. These maps will provide insight that can lead to a useful engineering tool for designing the

  9. An assessment of climate change impacts on micro-hydropower energy recovery in water supply networks

    NASA Astrophysics Data System (ADS)

    Brady, Jennifer; Patil, Sopan; McNabola, Aonghus; Gallagher, John; Coughlan, Paul; Harris, Ian; Packwood, Andrew; Williams, Prysor

    2015-04-01

    Continuity of service of a high quality water supply is vital in sustaining economic and social development. However, water supply and wastewater treatment are highly energy intensive processes and the overall cost of water provision is rising rapidly due to increased energy costs, higher capital investment requirements, and more stringent regulatory compliance in terms of both national and EU legislation. Under the EU Directive 2009/28/EC, both Ireland and the UK are required to have 16% and 15% respectively of their electricity generated by renewable sources by 2020. The projected impacts of climate change, population growth and urbanisation will place additional pressures on resources, further increasing future water demand which in turn will lead to higher energy consumption. Therefore, there is a need to achieve greater efficiencies across the water industry. The implementation of micro-hydropower turbines within the water supply network has shown considerable viability for energy recovery. This is achieved by harnessing energy at points of high flow or pressure along the network which can then be utilised on site or alternatively sold to the national grid. Micro-hydropower can provide greater energy security for utilities together with a reduction in greenhouse gas emissions. However, potential climate change impacts on water resources in the medium-to-long term currently act as a key barrier to industry confidence as changes in flow and pressure within the network can significantly alter the available energy for recovery. The present study aims to address these uncertainties and quantify the regional and local impacts of climate change on the viability of energy recovery across water infrastructure in Ireland and the UK. Specifically, the research focuses on assessing the potential future effects of climate change on flow rates at multiple pressure reducing valve sites along the water supply network and also in terms of flow at a number of wastewater

  10. Climate change impact assessment on hydrology of a small watershed using semi-distributed model

    NASA Astrophysics Data System (ADS)

    Pandey, Brij Kishor; Gosain, A. K.; Paul, George; Khare, Deepak

    2016-02-01

    This study is an attempt to quantify the impact of climate change on the hydrology of Armur watershed in Godavari river basin, India. A GIS-based semi-distributed hydrological model, soil and water assessment tool (SWAT) has been employed to estimate the water balance components on the basis of unique combinations of slope, soil and land cover classes for the base line (1961-1990) and future climate scenarios (2071-2100). Sensitivity analysis of the model has been performed to identify the most critical parameters of the watershed. Average monthly calibration (1987-1994) and validation (1995-2000) have been performed using the observed discharge data. Coefficient of determination (R2 ), Nash-Sutcliffe efficiency (ENS) and root mean square error (RMSE) were used to evaluate the model performance. Calibrated SWAT setup has been used to evaluate the changes in water balance components of future projection over the study area. HadRM3, a regional climatic data, have been used as input of the hydrological model for climate change impact studies. In results, it was found that changes in average annual temperature (+3.25 °C), average annual rainfall (+28 %), evapotranspiration (28 %) and water yield (49 %) increased for GHG scenarios with respect to the base line scenario.

  11. Assessing very long-range impacts from a rapid climate change

    SciTech Connect

    Markley, O.W.; Hall, P.R.

    1982-01-01

    A variety of anthropogenic, or human-generated forces are gradually changing global climate. These include effects due to slash and burn agriculture, industrial particulates, waste heat and gasses such as chlorofluoromethanes, nitrous oxide, and carbon dioxide. Although the short-range effects of these forces may seem to be relatively minor from a long-range perspective, climatologists warn that the long-range effects - especially of increases in atmospheric carbon dioxide resulting from widespread fossil fuel use - will be great, bringing significant alterations in atmospheric temperature, wind and ocean currents, precipitation patterns, and other ecological phenomena. From a geological time perspective, the resulting climate changes will occur quite rapidly, and will affect human concerns in a number of ways. Besides being important for long-range social planning, these effects are of intrinsic interest to futures research and impact assessment methodologists. Although many uncertainties exist in long-range climate forecasting, climate change comprises one of the very few classes of phenomena where the nature of very long-range (i.e., 30 to 3000 years) impact-producing changes are feasible to forecast in reasonably rigorous, quantitative terms.

  12. Assessing Impacts of Climate Variability and Change on the Agro-ecosystems in California and Southwestern United States

    NASA Astrophysics Data System (ADS)

    Kafatos, M.; Asrar, G. R.; El-Askary, H. M.; Hatzopoulos, N.; Hayhoe, K.; Kim, J.; Ziska, L.; Medvigy, D.; Prasad, A. K.; Tremback, C.; Walko, R. L.

    2011-12-01

    Climate variability and change affects natural and managed ecosystems, namely agriculture and rangelands, and the services they offer such as food, fiber, energy, fresh water, etc. we derive from them are among the highest concerns in quantifying the potential consequences of anthropogenic climate change. These impacts are expected to be ecosystem and region specific, thus requiring climate information at greater spatial and temporal resolution offered by the global climate models. In this study we are using a combination of climate downscaling and regional climate models in conjunction with ecosystem models to assess the impact of climate variability and change on the natural and managed ecosystems in California and Southwest region of the United States. In an attempt to generate reliable assessments of the impact of regional climate variability and change on the agro-ecosystems in the region, we have designed an impact assessment study in which multiple Regional Climate Models (RCMs) are used to develop downscaled climate information to in turn drive ecosystem models. We develop the climate scenarios for the region based on a combination of dynamical and statistical approaches. We evaluate the efficacy of the climate scenarios in hindcast mode against available historical observation records to build confidence in their future climate projections. We then use the derived climate information in the ecosystem models to assess how these ecosystems will function under the projected climate conditions. We will present some early results from the evaluation of three regional climate models in a long-term hindcast experiments, the fundamental step before performing regional climate projection. Model variables needed by agro-ecosystem models, daily precipitation and temperature extremes, from individual models and their ensembles, are being evaluated against the National Weather Service observation network and the global gridded analyses from NCEP. We also compare direct

  13. The Future of Hydropower: Assessing the Impacts of Climate Change, Energy Prices and New Storage Technologies

    NASA Astrophysics Data System (ADS)

    Gaudard, Ludovic; Madani, Kaveh; Romerio, Franco

    2016-04-01

    The future of hydropower depends on various drivers, and in particular on climate change, electricity market evolution and innovation in new storage technologies. Their impacts on the power plants' profitability can widely differ in regards of scale, timing, and probability of occurrence. In this respect, the risk should not be expressed only in terms of expected revenue, but also of uncertainty. These two aspects must be considered to assess the future of hydropower. This presentation discusses the impacts of climate change, electricity market volatility and competing energy storage's technologies and quantifies them in terms of annual revenue. Our simulations integrate a glacio-hydrological model (GERM) with various electricity market data and models (mean reversion and jump diffusion). The medium (2020-50) and long-term (2070-2100) are considered thanks to various greenhouse gas scenarios (A1B, A2 and RCP3PD) and the stochastic approach for the electricity prices. An algorithm named "threshold acceptance" is used to optimize the reservoir operations. The impacts' scale, and the related uncertainties are presented for Mauvoisin, which is a storage-hydropower plant situated in the Swiss Alps, and two generic pure pumped-storage installations, which are assessed with the prices of 17 European electricity markets. The discussion will highlight the key differences between the impacts brought about by the drivers.

  14. Northwest Regional Climate Assessment

    NASA Technical Reports Server (NTRS)

    Lipschultz, Fred

    2011-01-01

    Objectives are to establish a continuing, inclusive National process that: 1) synthesizes relevant science and information 2) increases understanding of what is known & not known 3) identifies information needs related to preparing for climate variability and change, and reducing climate impacts and vulnerability 4) evaluates progress of adaptation & mitigation activities 5) informs science priorities 6) builds assessment capacity in regions and sectors 7) builds understanding & skilled use of findings

  15. A robust impact assessment that informs actionable climate change adaptation: future sunburn browning risk in apple

    NASA Astrophysics Data System (ADS)

    Webb, Leanne; Darbyshire, Rebecca; Erwin, Tim; Goodwin, Ian

    2016-11-01

    Climate change impact assessments are predominantly undertaken for the purpose of informing future adaptation decisions. Often, the complexity of the methodology hinders the actionable outcomes. The approach used here illustrates the importance of considering uncertainty in future climate projections, at the same time providing robust and simple to interpret information for decision-makers. By quantifying current and future exposure of Royal Gala apple to damaging temperature extremes across ten important pome fruit-growing locations in Australia, differences in impact to ripening fruit are highlighted, with, by the end of the twenty-first century, some locations maintaining no sunburn browning risk, while others potentially experiencing the risk for the majority of the January ripening period. Installation of over-tree netting can reduce the impact of sunburn browning. The benefits from employing this management option varied across the ten study locations. The two approaches explored to assist decision-makers assess this information (a) using sunburn browning risk analogues and (b) through identifying hypothetical sunburn browning risk thresholds, resulted in varying recommendations for introducing over-tree netting. These recommendations were location and future time period dependent with some sites showing no benefit for sunburn protection from nets even by the end of the twenty-first century and others already deriving benefits from employing this adaptation option. Potential best and worst cases of sunburn browning risk and its potential reduction through introduction of over-tree nets were explored. The range of results presented highlights the importance of addressing uncertainty in climate projections that result from different global climate models and possible future emission pathways.

  16. Integrated regional assessment of global climatic change: lessons from the Mackenzie Basin Impact Study (MBIS)

    NASA Astrophysics Data System (ADS)

    Cohen, Stewart J.

    1996-04-01

    This paper outlines the potential role integrated regional assessments of global climatic change scenarios could play in building better links between science and related policy concerns. The concept is illustrated through description of an ongoing case study from Canada—the Mackenzie Basin Impact Study (MBIS). As part of the Government of Canada's Green Plan, the Global Warming Science Program includes a study of regional impacts of global warming scenarios in the Mackenzie Basin, located in northwestern Canada. The MBIS is a six-year program focussing on potential climate-induced changes in the land and water resource base, and the implications of four scenarios of global climatic change on land use and economic policies in this region. These policy issues include interjurisdictional water management, sustainability of native lifestyles, economic development opportunities (agriculture, forestry, tourism, etc.), sustainability of ecosystems and infrastructure maintenance. MBIS is due to be completed in 1997. MBIS represents an attempt to address regional impacts by incorporating a "family of integrators" into the study framework, and by directly involving stakeholders in planning and research activities. The experience in organizing and carrying out this project may provide some lessons for others interested in organizing regional or country studies.

  17. Climate change impacts on risks of groundwater pollution by herbicides: a regional scale assessment

    NASA Astrophysics Data System (ADS)

    Steffens, Karin; Moeys, Julien; Lindström, Bodil; Kreuger, Jenny; Lewan, Elisabet; Jarvis, Nick

    2014-05-01

    Groundwater contributes nearly half of the Swedish drinking water supply, which therefore needs to be protected both under present and future climate conditions. Pesticides are sometimes found in Swedish groundwater in concentrations exceeding the EU-drinking water limit and thus constitute a threat. The aim of this study was to assess the present and future risks of groundwater pollution at the regional scale by currently approved herbicides. We identified representative combinations of major crop types and their specific herbicide usage (product, dose and application timing) based on long-term monitoring data from two agricultural catchments in the South-West of Sweden. All these combinations were simulated with the regional version of the pesticide fate model MACRO (called MACRO-SE) for the periods 1970-1999 and 2070-2099 for a major crop production region in South West Sweden. To represent the uncertainty in future climate data, we applied a five-member ensemble based on different climate model projections downscaled with the RCA3-model (Swedish Meteorological and Hydrological Institute). In addition to the direct impacts of changes in the climate, the risks of herbicide leaching in the future will also be affected by likely changes in weed pressure and land use and management practices (e.g. changes in crop rotations and application timings). To assess the relative importance of such factors we performed a preliminary sensitivity analysis which provided us with a hierarchical structure for constructing future herbicide use scenarios for the regional scale model runs. The regional scale analysis gave average concentrations of herbicides leaching to groundwater for a large number of combinations of soils, crops and compounds. The results showed that future scenarios for herbicide use (more autumn-sown crops, more frequent multiple applications on one crop, and a shift from grassland to arable crops such as maize) imply significantly greater risks of herbicide

  18. Assessing the Impact of Laurentide Ice-sheet Topography on Glacial Climate

    NASA Technical Reports Server (NTRS)

    Ullman, D. J.; LeGrande, A. N.; Carlson, A. E.; Anslow, F. S.; Licciardi, J. M.

    2014-01-01

    Simulations of past climates require altered boundary conditions to account for known shifts in the Earth system. For the Last Glacial Maximum (LGM) and subsequent deglaciation, the existence of large Northern Hemisphere ice sheets caused profound changes in surface topography and albedo. While ice-sheet extent is fairly well known, numerous conflicting reconstructions of ice-sheet topography suggest that precision in this boundary condition is lacking. Here we use a high-resolution and oxygen-isotopeenabled fully coupled global circulation model (GCM) (GISS ModelE2-R), along with two different reconstructions of the Laurentide Ice Sheet (LIS) that provide maximum and minimum estimates of LIS elevation, to assess the range of climate variability in response to uncertainty in this boundary condition.We present this comparison at two equilibrium time slices: the LGM, when differences in ice-sheet topography are maximized, and 14 ka, when differences in maximum ice-sheet height are smaller but still exist. Overall, we find significant differences in the climate response to LIS topography, with the larger LIS resulting in enhanced Atlantic Meridional Overturning Circulation and warmer surface air temperatures, particularly over northeastern Asia and the North Pacific. These up- and downstream effects are associated with differences in the development of planetary waves in the upper atmosphere, with the larger LIS resulting in a weaker trough over northeastern Asia that leads to the warmer temperatures and decreased albedo from snow and sea-ice cover. Differences between the 14 ka simulations are similar in spatial extent but smaller in magnitude, suggesting that climate is responding primarily to the larger difference in maximum LIS elevation in the LGM simulations. These results suggest that such uncertainty in ice-sheet boundary conditions alone may significantly impact the results of paleoclimate simulations and their ability to successfully simulate past climates

  19. The Arctic as a test case for an assessment of climate impacts on national security.

    SciTech Connect

    Taylor, Mark A.; Zak, Bernard Daniel; Backus, George A.; Ivey, Mark D.; Boslough, Mark Bruce Elrick

    2008-11-01

    The Arctic region is rapidly changing in a way that will affect the rest of the world. Parts of Alaska, western Canada, and Siberia are currently warming at twice the global rate. This warming trend is accelerating permafrost deterioration, coastal erosion, snow and ice loss, and other changes that are a direct consequence of climate change. Climatologists have long understood that changes in the Arctic would be faster and more intense than elsewhere on the planet, but the degree and speed of the changes were underestimated compared to recent observations. Policy makers have not yet had time to examine the latest evidence or appreciate the nature of the consequences. Thus, the abruptness and severity of an unfolding Arctic climate crisis has not been incorporated into long-range planning. The purpose of this report is to briefly review the physical basis for global climate change and Arctic amplification, summarize the ongoing observations, discuss the potential consequences, explain the need for an objective risk assessment, develop scenarios for future change, review existing modeling capabilities and the need for better regional models, and finally to make recommendations for Sandia's future role in preparing our leaders to deal with impacts of Arctic climate change on national security. Accurate and credible regional-scale climate models are still several years in the future, and those models are essential for estimating climate impacts around the globe. This study demonstrates how a scenario-based method may be used to give insights into climate impacts on a regional scale and possible mitigation. Because of our experience in the Arctic and widespread recognition of the Arctic's importance in the Earth climate system we chose the Arctic as a test case for an assessment of climate impacts on national security. Sandia can make a swift and significant contribution by applying modeling and simulation tools with internal collaborations as well as with outside

  20. Towards Supporting Climate Scientists and Impact Assessment Analysts with the Big Data Europe Platform

    NASA Astrophysics Data System (ADS)

    Klampanos, Iraklis; Vlachogiannis, Diamando; Andronopoulos, Spyros; Cofiño, Antonio; Charalambidis, Angelos; Lokers, Rob; Konstantopoulos, Stasinos; Karkaletsis, Vangelis

    2016-04-01

    The EU, Horizon 2020, project Big Data Europe (BDE) aims to support European companies and institutions in effectively managing and making use of big data in activities critical to their progress and success. BDE focuses on seven areas of societal impact: Health, Food and Agriculture, Energy, Transport, Climate, Social Sciences and Security. By reaching out to partners and stakeholders, BDE aims to elicit data-intensive requirements for, and deliver an ICT platform to cover aspects of publishing and consuming semantically interoperable, large-scale, multi-lingual data assets and knowledge. In this presentation we will describe the first BDE pilot for Climate, focusing on SemaGrow, its core component, which provides data querying and management based on data semantics. Over the last few decades, extended scientific effort in understanding climate change has resulted in a huge volume of model and observational data. Large international global and regional model inter-comparison projects have focused on creating a framework in support of climate model diagnosis, validation, documentation and data access. The application of climate model ensembles, a system consisting of different possible realisations of a climate model, has further significantly increased the amount of climate and weather data generated. The provision of such models satisfies the crucial objective of assessing potential impacts of climate change on well-being for adaptation, prevention and mitigation. One of the methodologies applied by the climate research and impact assessment communities is that of dynamical downscaling. This calculates values of atmospheric variables in smaller spatial and temporal scales, given a global model. On the company or institution level, this process can be greatly improved in terms of querying, data ingestion from various sources and formats, automatic data mapping, etc. The first Climate BDE pilot will facilitate the process of dynamical downscaling by providing a

  1. Assessment of climate change impacts on climate variables using probabilistic ensemble modeling and trend analysis

    NASA Astrophysics Data System (ADS)

    Safavi, Hamid R.; Sajjadi, Sayed Mahdi; Raghibi, Vahid

    2016-08-01

    Water resources in snow-dependent regions have undergone significant changes due to climate change. Snow measurements in these regions have revealed alarming declines in snowfall over the past few years. The Zayandeh-Rud River in central Iran chiefly depends on winter falls as snow for supplying water from wet regions in high Zagrous Mountains to the downstream, (semi-)arid, low-lying lands. In this study, the historical records (baseline: 1971-2000) of climate variables (temperature and precipitation) in the wet region were chosen to construct a probabilistic ensemble model using 15 GCMs in order to forecast future trends and changes while the Long Ashton Research Station Weather Generator (LARS-WG) was utilized to project climate variables under two A2 and B1 scenarios to a future period (2015-2044). Since future snow water equivalent (SWE) forecasts by GCMs were not available for the study area, an artificial neural network (ANN) was implemented to build a relationship between climate variables and snow water equivalent for the baseline period to estimate future snowfall amounts. As a last step, homogeneity and trend tests were performed to evaluate the robustness of the data series and changes were examined to detect past and future variations. Results indicate different characteristics of the climate variables at upstream stations. A shift is observed in the type of precipitation from snow to rain as well as in its quantities across the subregions. The key role in these shifts and the subsequent side effects such as water losses is played by temperature.

  2. Climate services for the assessment of climate change impacts and risks in coastal areas at the regional scale: the North Adriatic case study (Italy).

    NASA Astrophysics Data System (ADS)

    Valentina, Gallina; Torresan, Silvia; Giannini, Valentina; Rizzi, Jonathan; Zabeo, Alex; Gualdi, Silvio; Bellucci, Alessio; Giorgi, Filippo; Critto, Andrea; Marcomini, Antonio

    2013-04-01

    At the international level, the interest for climate services is rising due to the social and economic benefits that different stakeholders can achieve to manage climate risks and take advantage of the opportunities associated with climate change impacts. However, there is a significant gap of tools aimed at providing information about risks and impacts induced by climate change and allowing non-expert stakeholders to use both climate-model and climate-impact data. Within the CLIM-RUN project (FP7), the case study of the North Adriatic Sea is aimed at analysing the need of climate information and the effectiveness of climate services for the integrated assessment of climate change impacts in coastal zones of the North Adriatic Sea at the regional to local scale. A participative approach was developed and applied to identify relevant stakeholders which have a mandate for coastal zone management and to interact with them in order to elicit their climate information needs. Specifically, the participative approach was carried out by means of two local workshops and trough the administration of a questionnaire related to climate information and services. The results of the process allowed identifying three major themes of interest for local stakeholders (i.e. hydro-climatic regime, coastal and marine environment, agriculture) and their preferences concerning key climate variables (e.g. extreme events, sea-level, wave height), mid-term temporal projections (i.e. for the next 30-40 years) and medium-high spatial resolution (i.e. from 1 to 50 km). Furthermore, the workshops highlighted stakeholder concern about several climate-related impacts (e.g. sea-level rise, storm surge, droughts) and vulnerable receptors (e.g. beaches, wetlands, agricultural areas) to be considered in vulnerability and risk assessment studies for the North Adriatic coastal zones. This information was used by climate and environmental risk experts in order to develop targeted climate information and

  3. Bias-correction and Spatial Disaggregation for Climate Change Impact Assessments at a basin scale

    NASA Astrophysics Data System (ADS)

    Nyunt, Cho; Koike, Toshio; Yamamoto, Akio; Nemoto, Toshihoro; Kitsuregawa, Masaru

    2013-04-01

    Basin-scale climate change impact studies mainly rely on general circulation models (GCMs) comprising the related emission scenarios. Realistic and reliable data from GCM is crucial for national scale or basin scale impact and vulnerability assessments to build safety society under climate change. However, GCM fail to simulate regional climate features due to the imprecise parameterization schemes in atmospheric physics and coarse resolution scale. This study describes how to exclude some unsatisfactory GCMs with respect to focused basin, how to minimize the biases of GCM precipitation through statistical bias correction and how to cover spatial disaggregation scheme, a kind of downscaling, within in a basin. GCMs rejection is based on the regional climate features of seasonal evolution as a bench mark and mainly depends on spatial correlation and root mean square error of precipitation and atmospheric variables over the target region. Global Precipitation Climatology Project (GPCP) and Japanese 25-uear Reanalysis Project (JRA-25) are specified as references in figuring spatial pattern and error of GCM. Statistical bias-correction scheme comprises improvements of three main flaws of GCM precipitation such as low intensity drizzled rain days with no dry day, underestimation of heavy rainfall and inter-annual variability of local climate. Biases of heavy rainfall are conducted by generalized Pareto distribution (GPD) fitting over a peak over threshold series. Frequency of rain day error is fixed by rank order statistics and seasonal variation problem is solved by using a gamma distribution fitting in each month against insi-tu stations vs. corresponding GCM grids. By implementing the proposed bias-correction technique to all insi-tu stations and their respective GCM grid, an easy and effective downscaling process for impact studies at the basin scale is accomplished. The proposed method have been examined its applicability to some of the basins in various climate

  4. On the assessment of urban land-surface impacts on climate in regional climate model simulations over Central Europe

    NASA Astrophysics Data System (ADS)

    Huszar, Peter; Belda, Michal; Halenka, Tomas

    2016-04-01

    When aiming higher resolution in dynamical downscaling, which is common trend in CORDEX activities, the effects of land use and land use changes are playing increasing role. This is especially true for the urban areas, which in high resolution can occupy significant part of a single gridbox, if not being even bigger in case of big cities or megacities. Moreover, the role of cities will increase in future, as the population within the urban areas is growing faster, with the estimate for Europe of about 84% living in cities. For the purpose of qualifying and quantifying the impact of cities and in general the urban surfaces on climate, the surface parameterization in regional climate model RegCM4 has been coupled with the Single Layer Urban Canopy Model (SLUCM), which can be used both in dynamic scale within BATS scheme and in a more detailed SUBBATS scale to treat the surface on a higher resolution subgrid. A set of experiments was performed over the period of 2005-2009 over central Europe, either without considering urban surfaces and with the SLUCM treatment. Results show a statistically significant impact of urbanized surfaces on temperature (up to 1.5 K increase in summer), on the boundary layer height (ZPBL, increases up to 50 m). Additionally, the version of land-surface scheme using CLM is tested and effect of the urban environment, which is included in the CLM scheme, will be assessed. Both versions will be compared and validated using EOBS data.

  5. Improving the Assessment and Valuation of Climate Change Impacts for Policy and Regulatory Analysis

    SciTech Connect

    Marten, Alex; Kopp, Robert E.; Shouse, Kate C.; Griffiths, Charles; Hodson, Elke L.; Kopits, Elizabeth; Mignone, Bryan K.; Moore, Chris; Newbold, Steve; Waldhoff, Stephanie T.; Wolverton, Ann

    2013-04-01

    The social cost of carbon (SCC) is a monetized metric for evaluating the benefits associated with marginal reductions in carbon dioxide (CO2) emissions. It represents the expected welfare loss from the future damages caused by the release of one tonne of CO2 in a given year, expressed in consumption equivalent terms. It is intended to be a comprehensive measure, taking into account changes in agricultural productivity, human health risks, loss of ecosystem services and biodiversity, and the frequency and severity of flooding and storms, among other possible impacts. Estimating the SCC requires long-term modeling of global economic activity, the climate system, and the linkages between the two through anthropogenic greenhouse gas (GHG) emissions and the effects of changing climatic conditions on economic activity and human well-being. The United States government currently uses the SCC in regulatory benefit-cost analyses to assess the welfare effects of changes in CO2 emissions. Consistent application of the SCC to federal rulemaking analyses began in 2009-2010 with the development of a set of global SCC estimates that employed three prominent integrated assessment models (IAMs) -- DICE, FUND, and PAGE. The U.S. government report identified a number of limitations associated with SCC estimates in general and its own assumptions in particular: an incomplete treatment of damages, including potential “catastrophic” impacts; uncertainty regarding the extrapolation of damage functions to high temperatures; incomplete treatment of adaptation and technological change; and the evaluation of uncertain outcomes in a risk-neutral fashion. External experts have identified other potential issues, including how best to model long-term socio-economic and emissions pathways, oversimplified physical climate and carbon cycle modeling within the IAMs, and an inconsistency between non-constant economic growth scenarios and constant discount rates. The U.S. government has committed

  6. Assessment of climate change impacts on hydrology and water quality with a watershed modeling approach.

    PubMed

    Luo, Yuzhou; Ficklin, Darren L; Liu, Xiaomang; Zhang, Minghua

    2013-04-15

    The assessment of hydrologic responses to climate change is required in watershed management and planning to protect water resources and environmental quality. This study is designed to evaluate and enhance watershed modeling approach in characterizing climate change impacts on water supply and ecosystem stressors. Soil and Water Assessment Tool (SWAT) was selected as a base model, and improved for the CO2 dependence of potential evapotranspiration and stream temperature prediction. The updated model was applied to quantify the impacts of projected 21st century climate change in the northern Coastal Ranges and western Sierra Nevada, which are important water source areas and aquatic habitats of California. Evapotranspiration response to CO2 concentration varied with vegetation type. For the forest-dominated watersheds in this study, only moderate (1-3%) reductions on evapotranspiration were predicted by solely elevating CO2 concentration under emission scenarios A2 and B1. Modeling results suggested increases in annual average stream temperature proportional to the projected increases in air temperature. Although no temporal trend was confirmed for annual precipitation in California, increases of precipitation and streamflow during winter months and decreases in summers were predicted. Decreased streamflow during summertime, together with the higher projected air temperature in summer than in winter, would increase stream temperature during those months and result in unfavorable conditions for cold-water species. Compared to the present-day conditions, 30-60 more days per year were predicted with average stream temperature >20°C during 2090s. Overall, the hydrologic cycle and water quality of headwater drainage basins of California, especially their seasonality, are very sensitive to projected climate change.

  7. Multi objective climate change impact assessment using multi downscaled climate scenarios

    NASA Astrophysics Data System (ADS)

    Rana, Arun; Moradkhani, Hamid

    2016-04-01

    Global Climate Models (GCMs) are often used to downscale the climatic parameters on a regional and global scale. In the present study, we have analyzed the changes in precipitation and temperature for future scenario period of 2070-2099 with respect to historical period of 1970-2000 from a set of statistically downscaled GCM projections for Columbia River Basin (CRB). Analysis is performed using 2 different statistically downscaled climate projections namely the Bias Correction and Spatial Downscaling (BCSD) technique generated at Portland State University and the Multivariate Adaptive Constructed Analogs (MACA) technique, generated at University of Idaho, totaling to 40 different scenarios. Analysis is performed on spatial, temporal and frequency based parameters in the future period at a scale of 1/16th of degree for entire CRB region. Results have indicated in varied degree of spatial change pattern for the entire Columbia River Basin, especially western part of the basin. At temporal scales, winter precipitation has higher variability than summer and vice-versa for temperature. Frequency analysis provided insights into possible explanation to changes in precipitation.

  8. Assessing the impact of climate change on water resources in Iran

    NASA Astrophysics Data System (ADS)

    Abbaspour, Karim C.; Faramarzi, Monireh; Ghasemi, Samaneh Seyed; Yang, Hong

    2009-10-01

    As water resources become further stressed due to increasing levels of societal demand, understanding the effect of climate change on various components of the water cycle is of strategic importance in management of this essential resource. In this study, we used a hydrologic model of Iran to study the impact of future climate on the country's water resources. The hydrologic model was created using the Soil and Water Assessment Tool (SWAT) model and calibrated for the period from 1980 to 2002 using daily river discharges and annual wheat yield data at a subbasin level. Future climate scenarios for periods of 2010-2040 and 2070-2100 were generated from the Canadian Global Coupled Model (CGCM 3.1) for scenarios A1B, B1, and A2, which were downscaled for 37 climate stations across the country. The hydrologic model was then applied to these periods to analyze the effect of future climate on precipitation, blue water, green water, and yield of wheat across the country. For future scenarios we found that in general, wet regions of the country will receive more rainfall while dry regions will receive less. Analysis of daily rainfall intensities indicated more frequent and larger-intensity floods in the wet regions and more prolonged droughts in the dry regions. When aggregated to provincial levels, the differences in the predictions due to the three future scenarios were smaller than the uncertainty in the hydrologic model. However, at the subbasin level the three climate scenarios produced quite different results in the dry regions of the country, although the results in the wet regions were more or less similar.

  9. Advancing global hydro-climatological data archives to support climate change impact assessments on water resources

    NASA Astrophysics Data System (ADS)

    Saile, P.

    2012-12-01

    Climate variations and changing climate will very likely alter the rate and nature of hydrological processes and consequently affect water resources in many regions. Current General Circulation Models and downscaling methods that are increasingly used to assess changes in the water cycle and water resource vulnerabilities introduce a cascade of uncertainties that cannot realistically be dealt with at the moment and are too inaccurate to support improved decision-making for water management and for future water systems design. Therefore, water managers need not only improved hydrological and climate modelling and downscaling methods but also access to adequate hydro-meteorological monitoring networks. The Global Terrestrial Network for Hydrology (GTN-H), a joint effort by the World Meteorological Organization (WMO) and several global observing systems, aims at integrating in-situ and remote sensing hydrological observations with hydrological model results held by its partner institutions to support a wide range of hydrological applications including research of global and regional climate change. Adhering to the different needs of all data users (scientists, policy makes and other stakeholders) and bridging the gap between the distributed datasets, currently a new information system is being developed to enable web-based discovery, access and analysis of observation data and derived products served through GTN-H. This system is built on international standards published by the Open Geospatial Consortium (OGC) using open standardized web services, namely (1) Catalogue Services for data discovery, (2) Web Map Services for data visualization and (3) Web Feature Services, Web Coverage Services and Sensor Observation Services for data access. This presentation will give an overview about the GTN-H data archive and the design of the new information system including an outlook of its potential use for water related climate change impact assessments.

  10. Assessment of potential impacts of climate change on agricultural development in the Lower Benue River Basin.

    PubMed

    Abah, Roland Clement; Petja, Brilliant Mareme

    2016-12-01

    Agriculture in the Lower Benue River Basin faces several challenges which threaten the future of agricultural development. This study was an assessment of potential impacts of climate change on agricultural development in the Lower Benue River Basin. Through analysis of physical and socioeconomic parameters, the study adapted an impact assessment model to rank potential impacts on agricultural development in the study area. Rainfall intensity seemed to be increasing with a gradual reduction in the number of rainy days. The average discharge at Makurdi hydrological station was 3468.24 cubic metres per second (m(3) s(-1)), and the highest peak flow discharge was 16,400 m(3) s(-1). The daily maximum temperature and annual temperature averages for the study area are gradually rising leading to increased heat stress. Physical and chemical analyses showed that the soils are moderately fertile but require effective application of inorganic and organic fertilisers. The main occupational activities in the study area are agricultural based. The identified potential impacts of climate change on agriculture were categorised under atmospheric carbon dioxides and oxides, rainfall intensity, frequency of floods and droughts, temperature intensity and variation, heat stress, surface water trends, and soil quality and fertility. The identified potential impacts related to population dynamics on agriculture were categorised under population growth, rural-urban migration, household income and infectious diseases and HIV and AIDS. Community-level mitigation strategies were proffered. Policy makers are advised to promote irrigation farming, support farmers with farm inputs and credit facilities and establish active agricultural extension services to support the sustainable development of agriculture.

  11. Chapter 6. Impacts of Climate Change on Oregon's Coasts and Estuaries in "Oregon Climate Change Assessment Report"

    EPA Science Inventory

    In 2007 the Oregon legislature created a new Oregon Climate Change Research Institute (OCCRI), which is based at Oregon State University (OSU). As part of its charter, OCCRI is mandated to produce a biennial report for the state legislature synthesizing climate change impacts a...

  12. Assessing Impact of Aerosol Intercontinental Transport on Regional Air Quality and Climate: What Satellites Can Help

    NASA Technical Reports Server (NTRS)

    Yu, Hongbin

    2011-01-01

    Mounting evidence for intercontinental transport of aerosols suggests that aerosols from a region could significantly affect climate and air quality in downwind regions and continents. Current assessment of these impacts for the most part has been based on global model simulations that show large variability. The aerosol intercontinental transport and its influence on air quality and climate involve many processes at local, regional, and intercontinental scales. There is a pressing need to establish modeling systems that bridge the wide range of scales. The modeling systems need to be evaluated and constrained by observations, including satellite measurements. Columnar loadings of dust and combustion aerosols can be derived from the MODIS and MISR measurements of total aerosol optical depth and particle size and shape information. Characteristic transport heights of dust and combustion aerosols can be determined from the CALIPSO lidar and AIRS measurements. CALIPSO liar and OMI UV technique also have a unique capability of detecting aerosols above clouds, which could offer some insights into aerosol lofting processes and the importance of above-cloud transport pathway. In this presentation, I will discuss our efforts of integrating these satellite measurements and models to assess the significance of intercontinental transport of dust and combustion aerosols on regional air quality and climate.

  13. Modeling suspended sediment transport and assessing the impacts of climate change in a karstic Mediterranean watershed.

    PubMed

    Nerantzaki, S D; Giannakis, G V; Efstathiou, D; Nikolaidis, N P; Sibetheros, I Α; Karatzas, G P; Zacharias, I

    2015-12-15

    Mediterranean semi-arid watersheds are characterized by a climate type with long periods of drought and infrequent but high-intensity rainfalls. These factors lead to the formation of temporary flow tributaries which present flashy hydrographs with response times ranging from minutes to hours and high erosion rates with significant sediment transport. Modeling of suspended sediment concentration in such watersheds is of utmost importance due to flash flood phenomena, during which, large quantities of sediments and pollutants are carried downstream. The aim of this study is to develop a modeling framework for suspended sediment transport in a karstic watershed and assess the impact of climate change on flow, soil erosion and sediment transport in a hydrologically complex and intensively managed Mediterranean watershed. The Soil and Water Assessment Tool (SWAT) model was coupled with a karstic flow and suspended sediment model in order to simulate the hydrology and sediment yield of the karstic springs and the whole watershed. Both daily flow data (2005-2014) and monthly sediment concentration data (2011-2014) were used for model calibration. The results showed good agreement between observed and modeled values for both flow and sediment concentration. Flash flood events account for 63-70% of the annual sediment export depending on a wet or dry year. Simulation results for a set of IPCC "A1B" climate change scenarios suggested that major decreases in surface flow (69.6%) and in the flow of the springs (76.5%) take place between the 2010-2049 and 2050-2090 time periods. An assessment of the future ecological flows revealed that the frequency of minimum flow events increases over the years. The trend of surface sediment export during these periods is also decreasing (54.5%) but the difference is not statistically significant due to the variability of the sediment. On the other hand, sediment originating from the springs is not affected significantly by climate change.

  14. Improving models to assess impacts of climate change on Mediterranean water resources

    NASA Astrophysics Data System (ADS)

    Rocha, João; Carvalho Santos, Cláudia; Keizer, Jan Jacob; Alexandre Diogo, Paulo; Nunes, João Pedro

    2016-04-01

    In recent decades, water availability for human consumption has faced major constraints due to increasing pollution and reduced water availability. Water resources availability can gain additional stresses and pressures in the context of potential climate change scenarios. For the last decades, the climate change paradigm has been the scope of many researchers and the focus of decision makers, policies and environmental/climate legislation. Decision-makers face a wide range of constrains, as they are forced to define new strategies that merge planning, management and climate change adaptations. In turn, decision-makers must create integrated strategies aiming at the sustainable use of resources. There are multiple uncertainties associated with climate change impact assessment and water resources. Typically, most studies have dealt with uncertainties in emission scenarios and resulting socio-economic conditions, including land-use and water use. Less frequently, studies have address the disparities between the future climates generated by climate models for the same greenhouse gas concentrations; and the uncertainties related with the limited knowledge of how watersheds work, which also limits the capacity to simulate them with models. Therefore, the objective of this study is to apply the SWAT (Soil and Water Assessment Tool) hydrological model to a catchment in Alentejo, southern Portugal; and to evaluate the uncertainty associated both to the calibration of hydrological models and the use of different climate change scenarios and models (a combination of 4 GCM (General Circulation Models) and 1 RCM (Regional Circulation Models) for the scenarios RCP 4.5 and 8.5. The Alentejo region is highly vulnerable to the effects of potential climate changes with particular focus on water resources availability, despite several reservoirs used for freshwater supply and agriculture irrigation (e.g. the Alqueva reservoir - the largest artificial lake of the Iberian Peninsula

  15. Using NASA Earth Science Datasets for National Climate Assessment Indicators: Urban Impacts of Heat Waves Associated with Climate Change

    NASA Astrophysics Data System (ADS)

    Sadoff, N.; Weber, S.; Zell, E. R.; de Sherbinin, A. M.

    2014-12-01

    Climate-induced heat waves have been increasing globally in the past 5-10 years and are projected to continue increasing throughout the 21st century. In urban areas, heat waves are exacerbated by the non-climate stressor of urban heat islands (UHIs). The vulnerability of a city's population to heat waves reflects exposure to extreme heat events, sensitivity of the population to impacts, such as adverse health effects, and adaptive capacity to prepare for and respond to heat waves. Socially and economically vulnerable populations are especially at risk to the impacts of heat waves, due to increasing energy costs, air pollution, and heat-related illness and mortality. NASA earth science datasets, combined with socioeconomic data, can be used to create indicators that characterize vulnerability to urban heat events and address the effectiveness of adaptation measures designed to reduce local temperatures. The indicator development process should include engagement from local stakeholders and end users from the onset to ensure local relevance and, ultimately, indicator uptake and sustainability. This presentation will explore the process of working with urban stakeholders in Philadelphia to develop a set of policy-relevant, interdisciplinary vulnerability indicators focused on extreme heat events in urban areas. Ambient and land surface temperature, land cover classifications, NDVI, and US Census data are used to create a basket of indicators that reflect urban heat wave duration and intensity, UHI exposure, socioeconomic vulnerability, and adaptation effectiveness. These indicators can be assessed at the city level and also comparatively among different parts of a city to help quantify and track heat wave impacts on vulnerable populations and the effectiveness of adaptation measures.

  16. National climate assessment technical report on the impacts of climate and land use and land cover change

    USGS Publications Warehouse

    Loveland, Thomas; Mahmood, Rezaul; Patel-Weynand, Toral; Karstensen, Krista; Beckendorf, Kari; Bliss, Norman; Carleton, Andrew

    2012-01-01

    This technical report responds to the recognition by the U.S. Global Change Research Program (USGCRP) and the National Climate Assessment (NCA) of the importance of understanding how land use and land cover (LULC) affects weather and climate variability and change and how that variability and change affects LULC. Current published, peer-reviewed, scientific literature and supporting data from both existing and original sources forms the basis for this report's assessment of the current state of knowledge regarding land change and climate interactions. The synthesis presented herein documents how current and future land change may alter environment processes and in turn, how those conditions may affect both land cover and land use by specifically investigating, * The primary contemporary trends in land use and land cover, * The land-use and land-cover sectors and regions which are most affected by weather and climate variability,* How land-use practices are adapting to climate change, * How land-use and land-cover patterns and conditions are affecting weather and climate, and * The key elements of an ongoing Land Resources assessment. These findings present information that can be used to better assess land change and climate interactions in order to better assess land management and adaptation strategies for future environmental change and to assist in the development of a framework for an ongoing national assessment.

  17. An assessment of the impact of climate adaptation measures to reduce flood risk on ecosystem services.

    PubMed

    Verburg, Peter H; Koomen, Eric; Hilferink, Maarten; Pérez-Soba, Marta; Lesschen, Jan Peter

    Measures of climate change adaptation often involve modification of land use and land use planning practices. Such changes in land use affect the provision of various ecosystem goods and services. Therefore, it is likely that adaptation measures may result in synergies and trade-offs between a range of ecosystems goods and services. An integrative land use modelling approach is presented to assess such impacts for the European Union. A reference scenario accounts for current trends in global drivers and includes a number of important policy developments that correspond to on-going changes in European policies. The reference scenario is compared to a policy scenario in which a range of measures is implemented to regulate flood risk and protect soils under conditions of climate change. The impacts of the simulated land use dynamics are assessed for four key indicators of ecosystem service provision: flood risk, carbon sequestration, habitat connectivity and biodiversity. The results indicate a large spatial variation in the consequences of the adaptation measures on the provisioning of ecosystem services. Synergies are frequently observed at the location of the measures itself, whereas trade-offs are found at other locations. Reducing land use intensity in specific parts of the catchment may lead to increased pressure in other regions, resulting in trade-offs. Consequently, when aggregating the results to larger spatial scales the positive and negative impacts may be off-set, indicating the need for detailed spatial assessments. The modelled results indicate that for a careful planning and evaluation of adaptation measures it is needed to consider the trade-offs accounting for the negative effects of a measure at locations distant from the actual measure. Integrated land use modelling can help land use planning in such complex trade-off evaluation by providing evidence on synergies and trade-offs between ecosystem services, different policy fields and societal

  18. Climate Change Impacts for the Conterminous USA: An Integrated Assessment Part 1. Scenarios and Context

    SciTech Connect

    Smith, Steven J.; Thomson, Allison M.; Rosenberg, Norman J.; Izaurralde, R Cesar C.; Brown, Robert A.; Wigley, T. M.

    2005-04-01

    As CO2 and other greenhouse gasses accumulate in the atmosphere and contribute to rising global temperatures, it is important to examine how a changing climate may affect natural and managed ecosystems. In this series of papers, we study the impacts of climate change on agriculture, water resources and natural ecosystems in the conterminous United States using a suite of climate change projections from General Circulation Models (GCMs) and three biophysical models. In this paper we present the climate change scenarios used to drive the impact analyses. The assumed levels of global-mean climate changes are discussed and placed in the context of recent work on climate-change scenarios for the next 100 years. The spatial variation of these changes given by the GCM results used for the impact analyses are also discussed.

  19. Assessment of the Impacts of Climate Change on Stream Discharge and Water Quality in an Arid, Urbanized Watershed

    NASA Astrophysics Data System (ADS)

    Ranatunga, T.; Tong, S.; Yang, J.

    2011-12-01

    Hydrologic and water quality models can provide a general framework to conceptualize and investigate the relationships between climate and water resources. Under a hot and dry climate, highly urbanized watersheds are more vulnerable to changes in climate, such as excess heat and drought. In this study, a comprehensive watershed model, Hydrological Simulation Program FORTRAN (HSPF), is used to assess the impacts of future climate change on the stream discharge and water quality in Las Vegas Wash in Nevada, the only surface water body that drains from the Las Vegas Valley (an area with rapid population growth and urbanization) to Lake Mead. In this presentation, the process of model building, calibration and validation, the generation of climate change scenarios, and the assessment of future climate change effects on stream hydrology and quality are demonstrated. The hydrologic and water quality model is developed based on the data from current national databases and existing major land use categories of the watershed. The model is calibrated for stream discharge, nutrients (nitrogen and phosphorus) and sediment yield. The climate change scenarios are derived from the outputs of the Global Climate Models (GCM) and Regional Climate Models (RCM) simulations, and from the recent assessment reports from the Intergovernmental Panel on Climate Change (IPCC). The Climate Assessment Tool from US EPA's BASINS is used to assess the effects of likely future climate scenarios on the water quantity and quality in Las Vegas Wash. Also the presentation discusses the consequences of these hydrologic changes, including the deficit supplies of clean water during peak seasons of water demand, increased eutrophication potentials, wetland deterioration, and impacts on wild life habitats.

  20. Multi-disciplinary assessments of climate change impacts on agriculture to support adaptation decision making in developing countries

    NASA Astrophysics Data System (ADS)

    Fujisawa, Mariko; Kanamaru, Hideki

    2016-04-01

    Many existing climate change impact studies, carried out by academic researchers, are disconnected from decision making processes of stakeholders. On the other hand many climate change adaptation projects in developing countries lack a solid evidence base of current and future climate impacts as well as vulnerabilities assessment at different scales. In order to fill this information gap, FAO has developed and implemented a tool "MOSAICC (Modelling System for Agricultural Impacts of Climate Change)" in several developing countries such as Morocco, the Philippines and Peru, and recently in Malawi and Zambia. MOSAICC employs a multi-disciplinary assessment approach to addressing climate change impacts and adaptation planning in the agriculture and food security sectors, and integrates five components from different academic disciplines: 1. Statistical downscaling of climate change projections, 2. Yield simulation of major crops at regional scale under climate change, 3. Surface hydrology simulation model, 4. Macroeconomic model, and 5. Forestry model. Furthermore MOSAICC has been developed as a capacity development tool for the national scientists so that they can conduct the country assessment themselves, using their own data, and reflect the outcome into the national adaptation policies. The outputs are nation-wide coverage, disaggregated at sub-national level to support strategic planning, investments and decisions by national policy makers. MOSAICC is designed in such a way to promote stakeholders' participation and strengthen technical capacities in developing countries. The paper presents MOSAICC and projects that used MOSAICC as a tool with case studies from countries.

  1. Assessment of climate change impact on water resources in the Upper Senegal basin

    NASA Astrophysics Data System (ADS)

    Lamine Mbaye, Mamadou; Hagemann, Stefan; Haensler, Andreas; Stacke, Tobias; Thierno Gaye, Amadou

    2015-04-01

    This study assesses the potential impacts of climate change on water resources and the effect of statistical bias correction on the projected climate change signal in hydrological variables over the Upper Senegal Basin (West Africa). Original and bias corrected climate data from the regional climate model REMO were used as input for the Max Planck Institute for Meteorology-Hydrology Model (MPI-HM) to simulate river discharge, runoff, soil moisture and evapotranspiration. The results during the historical period (1971-2000) show that using the bias corrected input yields a better representation of the mean river flow regimes and the 10th and 90th percentiles of river flow at the outlet of the Upper Senegal Basin (USB). The Nash-Sutcliffe efficiency coefficient is 0.92 using the bias corrected input, which demonstrates the ability of the model in simulating river flow. The percent bias of 3.88% indicates a slight overestimation of the river flow by the model using the corrected input. The evaluation demonstrates the ability of the bias correction and its necessity for the simulation of historical river regimes. As for the potential changes of hydrological variables by the end of 21st century (2071-2100), a general decrease of river discharge, runoff, actual evapotranspiration, soil moisture is found under two Representative Concentration Pathways (RCP4.5 and RCP8.5) in all simulations. The decrease is higher under RCP8.5 with uncorrected data in the northern basin. However, there are some localized increases in some parts of the basin (e.g Guinean Highlands). The projected climate change signal of these above variables has the same spatial pattern and tendency for the uncorrected and bias corrected data although the magnitude of the corrected signal is somewhat lower than that uncorrected. Furthermore, the available water resources are projected to substantially decrease by more than -50% in the majority of the basin (especially in driest and hottest northern basin

  2. Assessing Climate Change Impacts for Military Installations in the Southwest United States During the Warm Season

    NASA Astrophysics Data System (ADS)

    Castro, C.

    2013-05-01

    Arid and semi-arid regions are experiencing some of the most adverse impacts of climate change with increased heat waves, droughts, and extreme weather. These events will likely exacerbate socioeconomic and political instabilities in regions where the United States has vital strategic interests and ongoing military operations. The Southwest U.S. is strategically important in that it houses some of the most spatially expansive and important military installations in the country. The majority of severe weather events in the Southwest occur in association with the North American monsoon system (NAMS), and current observational record has shown a 'wet gets wetter and dry gets drier' global monsoon precipitation trend. We seek to evaluate the warm season extreme weather projection in the Southwest U.S., and how the extremes can affect Department of Defense (DoD) military facilities in that region. A baseline methodology is being developed to select extreme warm season weather events based on historical sounding data and moisture surge observations from Gulf of California. Numerical Weather Prediction (NWP)-type high resolution simulations will be performed for the extreme events identified from Weather Research and Forecast (WRF) model simulations initiated from IPCC GCM and NCAR Reanalysis data in both climate control and climate change periods. The magnitude in extreme event changes will be analyzed, and the synoptic forcing patterns of the future severe thunderstorms will provide a guide line to assess if the military installations in the Southwest will become more or less susceptible to severe weather in the future.

  3. Assessment of Climate Change Impact on Flood Risk in the Red River Basin

    NASA Astrophysics Data System (ADS)

    Rasmussen, P. F.

    2015-12-01

    In recent years, there have been a number of large spring floods in the Red River basin in the states of North Dakota and Minnesota, and in the Province of Manitoba. These recent floods have led to speculation that increased greenhouse gas concentrations may be changing precipitation patterns and impacting the frequency of floods. In this study, we investigate whether this is a reasonable assumption based on global climate model output. A regression model is developed to predict spring peak discharge on the Red River at a streamflow gage located at the border of the US and Canada. The predictor variables include antecedent fall precipitation used as a proxy for soil moisture at freeze-up, winter snow accumulation, and spring precipitation during the period of melt. Data from the North American Regional Reanalysis (NARR) have been used to calibrate the model. Bias-corrected projections from the CMIP5 GCM model ensemble are then used to predict floods in future years. The predicted floods are modeled using non-stationary frequency analysis. The use of multiple GCMs and multiple Representative Concentration Pathways (RCPs) allow for an estimate of uncertainty to be associated with the results. It is concluded that climate change will likely have an impact on floods in the Red River basin, but the uncertainty surrounding this assessment is rather large.

  4. Future climate change impact assessment of watershed scale hydrologic processes in Peninsular Malaysia by a regional climate model coupled with a physically-based hydrology modelo.

    PubMed

    Amin, M Z M; Shaaban, A J; Ercan, A; Ishida, K; Kavvas, M L; Chen, Z Q; Jang, S

    2017-01-01

    Impacts of climate change on the hydrologic processes under future climate change conditions were assessed over Muda and Dungun watersheds of Peninsular Malaysia by means of a coupled regional climate and physically-based hydrology model utilizing an ensemble of future climate change projections. An ensemble of 15 different future climate realizations from coarse resolution global climate models' (GCMs) projections for the 21st century was dynamically downscaled to 6km resolution over Peninsular Malaysia by a regional climate model, which was then coupled with the watershed hydrology model WEHY through the atmospheric boundary layer over Muda and Dungun watersheds. Hydrologic simulations were carried out at hourly increments and at hillslope-scale in order to assess the impacts of climate change on the water balances and flooding conditions in the 21st century. The coupled regional climate and hydrology model was simulated for a duration of 90years for each of the 15 realizations. It is demonstrated that the increase in mean monthly flows due to the impact of expected climate change during 2040-2100 is statistically significant from April to May and from July to October at Muda watershed. Also, the increase in mean monthly flows is shown to be significant in November during 2030-2070 and from November to December during 2070-2100 at Dungun watershed. In other words, the impact of the expected climate change will be significant during the northeast and southwest monsoon seasons at Muda watershed and during the northeast monsoon season at Dungun watershed. Furthermore, the flood frequency analyses for both watersheds indicated an overall increasing trend in the second half of the 21st century.

  5. Assessing bio-economic impacts and climate adaptation potential in Flanders

    NASA Astrophysics Data System (ADS)

    Gobin, A.

    2009-04-01

    According to Global Circulation Model predictions, Belgium is situated on a wedge between a wetter and drier climatic regime. Observed changes show an increase of 1.3°C during the past decade, a higher frequency of warm summer days and a 6% increase in rainfall with a pronounced rise in winter precipitation of about 25% as compared to the normal (1961-1990). Since agriculture is particularly sensitive to climate variability and occupies more than 61% of the land surface in Flanders, the rural landscape will be confronted with profound changes. A combination of climate scenarios, production models and economic evaluation was used to assess climate impacts on agricultural goods & services, adaptation costs due to production losses and adaptation options. Agro-ecosystems offer a wide range of productive, supporting, regulating and cultural services to society. Productive services relate to crop, animal and energy production, but will alter with climate change. Supporting services such as biodiversity, soil and water quality will be negatively affected by a higher climate variability, increasing erosion and sediment transport, enhancing the breakdown of soil organic matter, lowering soil quality and increasing runoff or leaching of agri-chemicals. The effect of a warmer climate on regulating services is an intensification of most nutrient cycles with increased emissions, which may be compensated for by carbon storage in faster and longer growing crops. The need for flooding areas may result in a net-reduction of the agricultural area. A higher probability of dry weather during summer time and a longer growing season may enlarge the attraction of recreating in rural areas. Knowledge on the interaction of agro-ecosystem services and climate change is required to formulate sustainable adaptation measures. Heat stress and water shortages lead to reduced crop growth, whereas increased CO2-concentrations and a prolonged growing season have a positive effect on crop yields

  6. A three-pillar approach to assessing climate impacts on low flows

    NASA Astrophysics Data System (ADS)

    Laaha, Gregor; Parajka, Juraj; Viglione, Alberto; Koffler, Daniel; Haslinger, Klaus; Schöner, Wolfgang; Zehetgruber, Judith; Blöschl, Günter

    2016-09-01

    The objective of this paper is to present a framework for assessing climate impacts on future low flows that combines different sources of information, termed pillars. To illustrate the framework three pillars are chosen: (a) extrapolation of observed low-flow trends into the future, (b) rainfall-runoff projections based on climate scenarios and (c) extrapolation of changing stochastic rainfall characteristics into the future combined with rainfall-runoff modelling. Alternative pillars could be included in the overall framework. The three pillars are combined by expert judgement based on a synoptic view of data, model outputs and process reasoning. The consistency/inconsistency between the pillars is considered an indicator of the certainty/uncertainty of the projections. The viability of the framework is illustrated for four example catchments from Austria that represent typical climate conditions in central Europe. In the Alpine region where winter low flows dominate, trend projections and climate scenarios yield consistently increasing low flows, although of different magnitudes. In the region north of the Alps, consistently small changes are projected by all methods. In the regions in the south and south-east, more pronounced and mostly decreasing trends are projected but there is disagreement in the magnitudes of the projected changes. The process reasons for the consistencies/inconsistencies are discussed. For an Alpine region such as Austria the key to understanding low flows is whether they are controlled by freezing and snowmelt processes, or by the summer moisture deficit associated with evaporation. It is argued that the three-pillar approach offers a systematic framework of combining different sources of information aimed at more robust projections than that obtained from each pillar alone.

  7. The potential role of health impact assessment in tackling the complexity of climate change adaptation for health.

    PubMed

    Brown, Helen L; Proust, Katrina; Spickett, Jeffery; Capon, Anthony

    2011-12-01

    Managing an issue of the magnitude, scope and complexity of climate change is a daunting prospect, yet one which nations around the world must face. Climate change is an issue without boundaries--impacts will cut across administrative and geographical borders and be felt by every sector of society. Responses to climate change will need to employ system approaches that take into account the relationships that cross organisational and sectoral boundaries. Solutions designed in isolation from these interdependencies will be unlikely to succeed, squandering opportunities for long-term effective adaptation. Health Impact Assessment (HIA) provides a structural approach to identify, evaluate and manage health impacts of climate change that is inclusive of a wide range of stakeholders. Climate change will affect decision-making across every government level and sector and the health implications of these decisions can also be addressed with HIA. Given the nature of the issue, HIA of climate change will identify a large number of variables that influence the type and extent of health impacts and the management of these impacts. In order to implement the most effective adaptation measures, it is critica that an understanding of the interactions between these variables is developed. The outcome of HIA of climate change can therefore be strengthened by the introduction of system dynamics tools, such as causal loop diagrams, that are designed to examine interactions between variables and the resulting behaviour of complex systems.

  8. The utilization of research-based information: Moving beyond communicating assessments of (climate) impacts

    NASA Astrophysics Data System (ADS)

    Pulwarty, R.; Cohen, S. J.

    2006-12-01

    Societal impacts of changing environments include primary or direct effects (increased soil moisture, loss of life, crop and building damage etc.), secondary or indirect effects (displacement, illness) and, higher order or systemic effects (debt, loss of livelihood). Vulnerability to such events is constructed from: (1) the timing, magnitude, spatial extent, and duration of the physical hazard i.e. risk of occurrence; (2) exposure in regions of risk e.g. population, property; and, (3) factors that pre-condition the degree of impact and the capacity to respond and recover. The call for better articulated decision support and services components is rising on par with more traditional axes of assessments i.e. characterizing the integrated physical system and its social and environmental impacts. The expectation is that increasing the rate at which policy makers and resource managers acquire knowledge about environment-society interactions will result in improvements in the quality of public and private decisions (a decidedly idealized view). Much recent work has shown that this expectation is most difficult to meet when decision stakes are high, uncertainty is great, technologies are new, experience is limited, and there are unequal distributions of burdens and benefits. We review generalized frames of reference on the use of climate information identified in independent studies undertaken by the authors in different river basins of North America. As shown in these (and other) studies, researchers, policy-makers and practitioners (public and private) operate on different time-lines, use different languages, and most importantly respond to different problem definitions and accountability incentives. The process of communication is increasingly recognized to be complex, transactional, and heavily dependent on the potential user's pre-existing knowledge, beliefs and experiences. We outline differing approaches to risk communication and their associated assumptions

  9. Projecting Poverty at the Household Scale to Assess the Impact of Climate Change on Poor People

    NASA Astrophysics Data System (ADS)

    Hallegatte, S.; Rozenberg, J.

    2015-12-01

    This paper quantifies the potential impacts of climate change on poverty in 2030 and 2050, in 92 countries covering 90% of the developing world population. It accounts for the deep uncertainties that characterize future socio-economic evolutions and the lack of data regarding the condition and livelihood of poor people. It also considers many impacts of climate change, another source of uncertainty. We use a micro-simulation model based on household surveys and explore a wide range of uncertainties on future structural change, productivity growth or demographic changes. This results, for each country, in the creation of several hundred scenarios for future income growth and income distribution. We then explore the resulting space of possible futures and use scenario discovery techniques to identify the main drivers of inequalities and poverty reduction. We find that redistribution and structural change are powerful drivers of poverty and inequality reduction, except in low-income countries. In the poorest countries in Africa, reducing poverty cannot rely on redistribution but requires low population growth and productivity growth in agriculture. Once we have explored the space of possible outcomes for poverty and inequalities, we choose two representative scenarios of the best and worst cases and model the impacts of climate change in each of these two scenarios. Climate change impacts are modeled through 4 channels. First, climate change has an impact on labor productivity growth for people who work outside because of higher temperatures. Second, climate change has an impact on human capital because of more severe stunting in some places. Third, climate change has an impact on physical capital via more frequent natural disasters. Fourth, climate change has an impact on consumption because of changes in food prices. Impacts are very heterogeneous across countries and are mostly concentrated in African and South-East Asian countries. For high radiative forcing (RCP8

  10. Heat, Human Performance, and Occupational Health: A Key Issue for the Assessment of Global Climate Change Impacts.

    PubMed

    Kjellstrom, Tord; Briggs, David; Freyberg, Chris; Lemke, Bruno; Otto, Matthias; Hyatt, Olivia

    2016-01-01

    Ambient heat exposure is a well-known health hazard, which reduces human performance and work capacity at heat levels already common in tropical and subtropical areas. Various health problems have been reported. Increasing heat exposure during the hottest seasons of each year is a key feature of global climate change. Heat exhaustion and reduced human performance are often overlooked in climate change health impact analysis. Later this century, many among the four billion people who live in hot areas worldwide will experience significantly reduced work capacity owing to climate change. In some areas, 30-40% of annual daylight hours will become too hot for work to be carried out. The social and economic impacts will be considerable, with global gross domestic product (GDP) losses greater than 20% by 2100. The analysis to date is piecemeal. More analysis of climate change-related occupational health impact assessments is greatly needed.

  11. Impacts of Climate Change on Human Health in the United States: A Scientific Assessment

    EPA Science Inventory

    Climate change threatens human health and well-being in the United States. To address this growing threat, the Interagency Group on Climate Change and Human Health (CCHHG), a working group of the U.S. Global Change Research Program’s (USGCRP), has developed this assessment as par...

  12. Climate change impacts on ecosystems and ecosystem services in the United States: Process and prospects for sustained assessment

    USGS Publications Warehouse

    Grimm, Nancy B.; Groffman, Peter M; Staudinger, Michelle D.; Tallis, Heather

    2016-01-01

    The third United States National Climate Assessment emphasized an evaluation of not just the impacts of climate change on species and ecosystems, but also the impacts of climate change on the benefits that people derive from nature, known as ecosystem services. The ecosystems, biodiversity, and ecosystem services component of the assessment largely drew upon the findings of a transdisciplinary workshop aimed at developing technical input for the assessment, involving participants from diverse sectors. A small author team distilled and synthesized this and hundreds of other technical input to develop the key findings of the assessment. The process of developing and ranking key findings hinged on identifying impacts that had particular, demonstrable effects on the U.S. public via changes in national ecosystem services. Findings showed that ecosystem services are threatened by the impacts of climate change on water supplies, species distributions and phenology, as well as multiple assaults on ecosystem integrity that, when compounded by climate change, reduce the capacity of ecosystems to buffer against extreme events. As ecosystems change, such benefits as water sustainability and protection from storms that are afforded by intact ecosystems are projected to decline across the continent due to climate change. An ongoing, sustained assessment that focuses on the co-production of actionable climate science will allow scientists from a range of disciplines to ascertain the capability of their forecasting models to project environmental and ecological change and link it to ecosystem services; additionally, an iterative process of evaluation, development of management strategies, monitoring, and reevaluation will increase the applicability and usability of the science by the U.S. public.

  13. Assessing the Impacts of Climate, Groundwater and Land Use on Regional Geomorphology

    NASA Astrophysics Data System (ADS)

    Barkwith, A.; Hurst, M. D.; Ellis, M. A.; Coulthard, T. J.

    2014-12-01

    The CLiDE (CAESAR-Lisflood-DESC) platform integrates a variety of modelling components, in order to represent coupled environmental processes and assess their co-evolution over daily to centennial time-scales. A distributed surface-subsurface water partitioning component lies conceptually at the platform centre; providing the key linkages between the atmospheric, sediment transport and vegetation components. Fluvial sediment transport is simulated using the CAESAR model, which has previously been used to investigate a variety of sediment transport, erosional and depositional processes at centennial to millennial scales. Driving CAESAR with a higher resolution, distributed hydrology allows CLiDE to effectively capture geomorphological features that operate at sub-centennial timescales. Non-fluvial sediment transport at the mesoscale is handled by a debris flow component, which drives sediment transport through exchanges of energy and is triggered through modification of local gradient and hydrology. The coupled nature of the platform allows a variety of geomorphological assessments to be undertaken. We present a variety of regional scale, modelling case studies, which assess the impacts of climate, groundwater and land use on geomorphology. We investigate the non-linear influence of these drivers on the spatial and temporal evolution of river basins and find that antecedent conditions can have a major influence on future erosion events.

  14. A review of multi-risk methodologies for natural hazards: Consequences and challenges for a climate change impact assessment.

    PubMed

    Gallina, Valentina; Torresan, Silvia; Critto, Andrea; Sperotto, Anna; Glade, Thomas; Marcomini, Antonio

    2016-03-01

    This paper presents a review of existing multi-risk assessment concepts and tools applied by organisations and projects providing the basis for the development of a multi-risk methodology in a climate change perspective. Relevant initiatives were developed for the assessment of multiple natural hazards (e.g. floods, storm surges, droughts) affecting the same area in a defined timeframe (e.g. year, season, decade). Major research efforts were focused on the identification and aggregation of multiple hazard types (e.g. independent, correlated, cascading hazards) by means of quantitative and semi-quantitative approaches. Moreover, several methodologies aim to assess the vulnerability of multiple targets to specific natural hazards by means of vulnerability functions and indicators at the regional and local scale. The overall results of the review show that multi-risk approaches do not consider the effects of climate change and mostly rely on the analysis of static vulnerability (i.e. no time-dependent vulnerabilities, no changes among exposed elements). A relevant challenge is therefore to develop comprehensive formal approaches for the assessment of different climate-induced hazards and risks, including dynamic exposure and vulnerability. This requires the selection and aggregation of suitable hazard and vulnerability metrics to make a synthesis of information about multiple climate impacts, the spatial analysis and ranking of risks, including their visualization and communication to end-users. To face these issues, climate impact assessors should develop cross-sectorial collaborations among different expertise (e.g. modellers, natural scientists, economists) integrating information on climate change scenarios with sectorial climate impact assessment, towards the development of a comprehensive multi-risk assessment process.

  15. Impact of large-scale climate variability and change on crop yields in Africa: An observational assessment

    NASA Astrophysics Data System (ADS)

    Smoliak, B. V.; Po-Chedley, S.; Cullen, A. C.

    2011-12-01

    Assessments of the relationships between climate and agricultural production have progressed from opposite ends of the spatio-temporal spectrum. While studies of global-scale climate-yield relationships have provided estimates of the impact of multi-decadal trends in temperature and precipitation on recent production, studies of local weather impacts on yield have demonstrated the influence of temperature and precipitation variability on plant physiology, particularly with respect to the duration and timing of extremes. At intermediate spatial and temporal scales, somewhat of a gap in understanding exists. Our investigation contributes to better understanding climate-yield relationships at intermediate scales by assessing the impact of climate variability on crop yields at the country to continent scale on interannual to interdecadal timescales. Toward this end, we employ historical climatic data and reported cereal crop yields from the African continent, 1961 to 2009, in conjunction with principal component regression and partial least squares regression. Our results show that a discrete set of spatial patterns of climate variability account for up to half of the year-to-year variability in crop yields over portions of Africa. The impact of this climate variability is particularly strong in Sub-Saharan Africa, where large or prolonged deficits in yields can result in food shortages. The fundamental patterns of variability used to explain yield fluctuations are based on temperature and precipitation, chosen due to their influence on plant physiology; however, the time-varying behavior of the patterns may also be linked to coherent large-scale climate variability through regressions with sea surface temperature, sea level pressure and low-level wind fields. Results are distilled in terms of five UN designated geographic regions of Africa. Implications for short-term food security and future climate change are discussed.

  16. Assessing the impact of climate-change scenarios on landslide occurrence in Umbria Region, Italy

    NASA Astrophysics Data System (ADS)

    Ciabatta, L.; Camici, S.; Brocca, L.; Ponziani, F.; Stelluti, M.; Berni, N.; Moramarco, T.

    2016-10-01

    Landslides are frequent and widespread geomorphological phenomena causing loss of human life and damage to property. The main tool for assessing landslide risk relies on rainfall thresholds and thus, many countries established early warning systems aimed to landslide hazard assessment. The Umbria Region Civil Protection Centre developed an operational early warning system for landslide risk assessment, named PRESSCA, based on the soil saturation conditions to identify rainfall thresholds. These thresholds, currently used by the Civil Protection operators for the day-by-day landslide hazard assessment, provided satisfactory results with more than 86% of the landslides events correctly identified during the period 1990-2013. In this study, the PRESSCA system was employed for the assessment of climate change impact on landslide hazard in Central Italy. The outputs of five different Global Circulation Models (GCMs) were downscaled and weather generators were used for obtaining hourly rainfall and temperature time series from daily GCMs projection. Then, PRESSCA system was employed to estimate the number of landslide occurrence per year. By comparing results obtained for three different periods (1990-2013 (baseline), 2040-2069 and 2070-2099), for the Umbria territory a general increase in events occurrence was expected (up to more than 40%) in the future period, mainly during the winter season. The results also revealed that the effect of climate change on landslides was not straightforward to identify and the close interaction between rainfall magnitude/intensity, temperature and soil moisture should be analysed in depth. Overall, soil moisture was projected to decrease throughout the year but during the wet season the variations with respect to the present period were very small. Specifically, it was found that during the warm-dry season, due to the strong decrease of soil moisture, even for a sensible increase in rainfall intensity, the landslide occurrence was

  17. Medical intelligence article: assessing the impact on global climate from general anesthetic gases.

    PubMed

    Sulbaek Andersen, Mads P; Nielsen, Ole J; Wallington, Timothy J; Karpichev, Boris; Sander, Stanley P

    2012-05-01

    Although present in the atmosphere with a combined concentration approximately 100,000 times lower than carbon dioxide (i.e., the principal anthropogenic driver of climate change), halogenated organic compounds are responsible for a warming effect of approximately 10% to 15% of the total anthropogenic radiative forcing of climate, as measured relative to the start of the industrial era (approximately 1750). The family of anesthetic gases includes several halogenated organic compounds that are strong greenhouse gases. In this short report, we provide an overview of the state of knowledge regarding the impact of anesthetic gas release on the environment, with particular focus on its contribution to the radiative forcing of climate change.

  18. The role of water reservoir operation in climate change impact assessments: expanding uncertainties and evolving tradeoffs

    NASA Astrophysics Data System (ADS)

    Giuliani, Matteo; Anghileri, Daniela; Castelletti, Andrea; Soncini-Sessa, Rodolfo

    2015-04-01

    Climate change and growing population are expected to severely affect freshwater availability by the end of 21th century. Although many river basins are likely to become more prone to periods of reduced water supply, risking considerable impacts on the society, the economy, and the environment, the operations of many water resource systems are still designed on the basis of the observed historical hydrologic variability. Yet, under changing hydroclimatic forcing, no guarantee exists that policies optimized over the past will not fail in coming years. This work explores the impact of projected climate change and the associated uncertainty on the policy performance for different future time horizons. A perturbed physics ensemble of projected hydroclimatic conditions based on the HadCM3 General Circulation Modelis is used to simulate the whole set of Pareto optimal policies over the different futures. The changes in the overall system performance and the evolution of each single-tradeoff are analyzed to improve our understanding of the system's vulnerabilities. The study is developed on the Red-Thai Binh River system, Vietnam. The Red River Basin is the second largest basin of Vietnam, draining an area of about 169,000 km2, and comprises three main tributaries and several reservoirs, namely SonLa and HoaBinh on the Da River, ThacBa and TuyenQuang on the Lo River. These reservoirs are regulated for maximizing hydropower production, mitigating downstream flood, primarily in Hanoi, and guaranteeing irrigation water supply to the agricultural districts in the delta. We address the challenges of the policy design problem (e.g., dimensionality of the system, number of objectives involved) by adopting the evolutionary multi-objective direct policy search (EMODPS), an approximate dynamic programming method that combines direct policy search, nonlinear approximating networks and multi-objective evolutionary algorithms to design Pareto approximate operating policies for multi

  19. On the Value of Climate Elasticity Indices to Assess the Impact of Climate Change on Streamflow Projection using an ensemble of bias corrected CMIP5 dataset

    NASA Astrophysics Data System (ADS)

    Demirel, Mehmet; Moradkhani, Hamid

    2015-04-01

    Changes in two climate elasticity indices, i.e. temperature and precipitation elasticity of streamflow, were investigated using an ensemble of bias corrected CMIP5 dataset as forcing to two hydrologic models. The Variable Infiltration Capacity (VIC) and the Sacramento Soil Moisture Accounting (SAC-SMA) hydrologic models, were calibrated at 1/16 degree resolution and the simulated streamflow was routed to the basin outlet of interest. We estimated precipitation and temperature elasticity of streamflow from: (1) observed streamflow; (2) simulated streamflow by VIC and SAC-SMA models using observed climate for the current climate (1963-2003); (3) simulated streamflow using simulated climate from 10 GCM - CMIP5 dataset for the future climate (2010-2099) including two concentration pathways (RCP4.5 and RCP8.5) and two downscaled climate products (BCSD and MACA). The streamflow sensitivity to long-term (e.g., 30-year) average annual changes in temperature and precipitation is estimated for three periods i.e. 2010-40, 2040-70 and 2070-99. We compared the results of the three cases to reflect on the value of precipitation and temperature indices to assess the climate change impacts on Columbia River streamflow. Moreover, these three cases for two models are used to assess the effects of different uncertainty sources (model forcing, model structure and different pathways) on the two climate elasticity indices.

  20. An assessment of climate change impacts on maize yields in Hebei Province of China.

    PubMed

    Chen, Yongfu; Han, Xinru; Si, Wei; Wu, Zhigang; Chien, Hsiaoping; Okamoto, Katsuo

    2017-03-01

    The climate change impacts on maize yields are quantified in this paper using statistical models with panel data from 3731 farmers' observations across nine sample villages in Hebei Province of China. The marginal impacts of climate change and the simulated impacts on maize yields based on scenarios of Representative Concentration Pathways 2.6, 4.5, 6.0, and 8.5 from the global climate models of Model for Interdisciplinary Research on Climate version 5 (MIROC5) and Meteorological Research Institute Coupled General Circulation Model version 3 (MRI-CGCM3) were then calculated, analyzed, and explained. The results indicate that, first, the most important finding was that climate change impacts on maize yields were significant and a 1°C warming or a 1mm decrease in precipitation resulted in a 150.255kg or a 1.941kg loss in maize yields per hectare, respectively. Second, villages with latitudes of less than 39.832 and longitudes of more than 114.839 in Hebei province suffered losses due to warm weather. Third, the simulated impacts for the full sample are all negative based on scenarios from MIROC5, and their magnitudes are more than those of MRI-CGCM3 are. Based on scenarios in the 2050s, the biggest loss for maize yields per hectare for the full sample accounts for about one-tenth of the mean maize yield from 2004 to 2010, and all of the villages are impacted. Hence, it is important to help farms adopt an adaptation strategy to tackle the risk of loss for maize yields from climate change, and it is necessary to develop agricultural synthesis services as a public adaptation policy at the village level to interact with the adaptation strategy at the farm level.

  1. Climate change impact assessment on Veneto and Friuli Plain groundwater. Part I: an integrated modeling approach for hazard scenario construction.

    PubMed

    Baruffi, F; Cisotto, A; Cimolino, A; Ferri, M; Monego, M; Norbiato, D; Cappelletto, M; Bisaglia, M; Pretner, A; Galli, A; Scarinci, A; Marsala, V; Panelli, C; Gualdi, S; Bucchignani, E; Torresan, S; Pasini, S; Critto, A; Marcomini, A

    2012-12-01

    Climate change impacts on water resources, particularly groundwater, is a highly debated topic worldwide, triggering international attention and interest from both researchers and policy makers due to its relevant link with European water policy directives (e.g. 2000/60/EC and 2007/118/EC) and related environmental objectives. The understanding of long-term impacts of climate variability and change is therefore a key challenge in order to address effective protection measures and to implement sustainable management of water resources. This paper presents the modeling approach adopted within the Life+ project TRUST (Tool for Regional-scale assessment of groUndwater Storage improvement in adaptation to climaTe change) in order to provide climate change hazard scenarios for the shallow groundwater of high Veneto and Friuli Plain, Northern Italy. Given the aim to evaluate potential impacts on water quantity and quality (e.g. groundwater level variation, decrease of water availability for irrigation, variations of nitrate infiltration processes), the modeling approach integrated an ensemble of climate, hydrologic and hydrogeologic models running from the global to the regional scale. Global and regional climate models and downscaling techniques were used to make climate simulations for the reference period 1961-1990 and the projection period 2010-2100. The simulation of the recent climate was performed using observed radiative forcings, whereas the projections have been done prescribing the radiative forcings according to the IPCC A1B emission scenario. The climate simulations and the downscaling, then, provided the precipitation, temperatures and evapo-transpiration fields used for the impact analysis. Based on downscaled climate projections, 3 reference scenarios for the period 2071-2100 (i.e. the driest, the wettest and the mild year) were selected and used to run a regional geomorphoclimatic and hydrogeological model. The final output of the model ensemble produced

  2. Assessing the Impacts of Climate Change on Tourism-Dependent Communities in the Great Lakes

    NASA Astrophysics Data System (ADS)

    Chin, N.; Day, J.; Sydnor, S.; Cherkauer, K. A.

    2013-12-01

    Tourism is an essential element of the Laurentian Great Lakes economy as well as one of the sectors expected to be affected most by climate change, particularly through extreme weather events. While studies looking at climate change impacts on the Great Lakes tourism, specifically, are limited, the results of other studies suggest that both summer tourism activities, such as beach-going, and winter tourism activities, such as skiing and snowboarding, could feel the effects of a changing climate. The purpose of this study was to determine how existing data and models might be used to predict the potential impacts of climate change on tourism-dependent communities at the local scale. Future climate projections and variable infiltration capacity (VIC) model simulations based on historical climate data were used to quantify trends in environmental metrics with a potential influence on tourism for several tourism-dependent Great Lakes communities. The results of this research show that the potential impacts of climate change vary at the local scale and could require different adaptation strategies for different communities and for different sectors of the tourism industry. For example, communities in the northern parts of the Great Lakes may find benefit in a greater diversification of their tourism industries, given that warming temperatures could be beneficial for summer tourism activities, while communities in the southern parts of the Great Lakes may have to find other ways to cope with climate conditions that are less conducive to summer tourism activities. Stakeholder input could also help inform the process of producing scientific information that is useful to policymakers when it comes to tourism sector-related decision making.

  3. Vulnerability and impact assessment of extreme climatic event: A case study of southern Punjab, Pakistan.

    PubMed

    Aslam, Abdul Qayyum; Ahmad, Sajid R; Ahmad, Iftikhar; Hussain, Yawar; Hussain, Muhammad Sameem

    2017-02-15

    Understanding of frequency, severity, damages and adaptation costs of climate extremes is crucial to manage their aftermath. Evaluation of PRECIS RCM modelled data under IPCC scenarios in Southern Punjab reveals that monthly mean temperature is 30°C under A2 scenario, 2.4°C higher than A1B which is 27.6°C in defined time lapses. Monthly mean precipitation under A2 scenario ranges from 12 to 15mm and for A1B scenario it ranges from 15 to 19mm. Frequency modelling of floods and droughts via poisson distribution shows increasing trend in upcoming decades posing serious impacts on agriculture and livestock, food security, water resources, public health and economic status. Cumulative loss projected for frequent floods without adaptation will be in the range of USD 66.8-79.3 billion in time lapse of 40years from 2010 base case. Drought damage function @ 18% for A2 scenario and @ 13.5% for A1B scenario was calculated; drought losses on agriculture and livestock sectors were modelled. Cumulative loss projected for frequent droughts without adaptation under A2 scenario will be in the range of USD 7.5-8.5 billion while under A1B scenario it will be in the range of USD 3.5-4.2 billion for time lapse of 60years from base case 1998-2002. Severity analysis of extreme events shows that situation get worse if adaptations are not only included in the policy but also in the integrated development framework with required allocation of funds. This evaluation also highlights the result of cost benefit analysis, benefits of the adaptation options (mean & worst case) for floods and droughts in Southern Punjab. Additionally the research highlights the role of integrated extreme events impact assessment methodology in performing the vulnerability assessments and to support the adaptation decisions. This paper is an effort to highlight importance of bottom up approaches to deal with climate change.

  4. Interdisciplinary assessment of sea-level rise and climate change impacts on the lower Nile delta, Egypt.

    PubMed

    Sušnik, Janez; Vamvakeridou-Lyroudia, Lydia S; Baumert, Niklas; Kloos, Julia; Renaud, Fabrice G; La Jeunesse, Isabelle; Mabrouk, Badr; Savić, Dragan A; Kapelan, Zoran; Ludwig, Ralf; Fischer, Georg; Roson, Roberto; Zografos, Christos

    2015-01-15

    CLImate-induced changes on WAter and SECurity (CLIWASEC) was a cluster of three complementary EC-FP7 projects assessing climate-change impacts throughout the Mediterranean on: hydrological cycles (CLIMB - CLimate-Induced changes on the hydrology of Mediterranean Basins); water security (WASSERMed - Water Availability and Security in Southern EuRope and the Mediterranean) and human security connected with possible hydro-climatic conflicts (CLICO - CLImate change hydro-COnflicts and human security). The Nile delta case study was common between the projects. CLIWASEC created an integrated forum for modelling and monitoring to understand potential impacts across sectors. This paper summarises key results from an integrated assessment of potential challenges to water-related security issues, focusing on expected sea-level rise impacts by the middle of the century. We use this common focus to illustrate the added value of project clustering. CLIWASEC pursued multidisciplinary research by adopting a single research objective: sea-level rise related water security threats, resulting in a more holistic view of problems and potential solutions. In fragmenting research, policy-makers can fail to understand how multiple issues can materialize from one driver. By combining efforts, an integrated assessment of water security threats in the lower Nile is formulated, offering policy-makers a clearer picture of inter-related issues to society and environment. The main issues identified by each project (land subsidence, saline intrusion - CLIMB; water supply overexploitation, land loss - WASSERMed; employment and housing security - CLICO), are in fact related. Water overexploitation is exacerbating land subsidence and saline intrusion, impacting on employment and placing additional pressure on remaining agricultural land and the underdeveloped housing market. All these have wider implications for regional development. This richer understanding could be critical in making better

  5. Integrating mechanistic and empirical model projections to assess climate impacts on tree species distributions in northwestern North America.

    PubMed

    Case, Michael J; Lawler, Joshua J

    2016-11-17

    Empirical and mechanistic models have both been used to assess the potential impacts of climate change on species distributions, and each modeling approach has its strengths and weaknesses. Here, we demonstrate an approach to projecting climate-driven changes in species distributions that draws on both empirical and mechanistic models. We combined projections from a dynamic global vegetation model (DGVM) that simulates the distributions of biomes based on basic plant functional types with projections from empirical climatic niche models for six tree species in northwestern North America. These integrated model outputs incorporate important biological processes, such as competition, physiological responses of plants to changes in atmospheric CO2 concentrations, and fire, as well as what are likely to be species-specific climatic constraints. We compared the integrated projections to projections from the empirical climatic niche models alone. Overall, our integrated model outputs projected a greater climate-driven loss of potentially suitable environmental space than did the empirical climatic niche model outputs alone for the majority of modeled species. Our results also show that refining species distributions with DGVM outputs had large effects on the geographic locations of suitable habitat. We demonstrate one approach to integrating the outputs of mechanistic and empirical niche models to produce bioclimatic projections. But perhaps more importantly, our study reveals the potential for empirical climatic niche models to over-predict suitable environmental space under future climatic conditions.

  6. Assessment of climate and land use changes impacts on the rivers inflow to the Lake Baikal

    NASA Astrophysics Data System (ADS)

    Kurovskaia, Victoriia; Semenova, Olga; Vinogradova, Tatyana

    2016-04-01

    Baikal is the deepest lake in the world and one of the biggest reservoirs of fresh water. The aim of this research was to analyze the long-term variability of characteristics of river inflow to the Lake using the historical data and project possible changes in the face of non-stationary climate and land use based on hydrological modelling. The basin of the Lake Baikal has area about 545 000 km2, half of which is situated in Russia. It is characterized by different climate and landscape conditions with annual flow depth varying from 30 to more than 600 mm. Nowadays active development and use of natural resources as well as climate changes have a strong impact on the regime of rivers inflow to the Lake. The watersheds response caused by environmental non-stationarity can be variable and unpredictable. Therefore adequate hydrological models with robust parametrization are required for future projections. This study consisted of two parts. Initially we compiled the database of daily runoff data for about 50 gauges in the basin of the Baikal Lake with continuous period of observations 30-50 years. The data was used to assess the characteristics of river inflow to the Lake for the historical period and estimate observed changes due to current climate change. For the development of future projections we have chosen several small and middle-size representative watersheds in different parts of the Lake basin with area from 151 to 7800 km2 and various types of hydrological regime. The data base for modelling was developed which included the information about landscapes, soils, dominating hydrological processes. The hydrological model parameters for different dominant landscapes were estimated based on that information. We applied distributed process-based hydrological model Hydrograph developed in State Hydrological Institute, Russia (Vinogradov et al., 2011; Semenova et al., 2013). It describes all essential processes of land hydrological cycle including detailed algorithm

  7. Assessment of climate change impacts on groundwater resources: the case study of Veneto and Friuli plain in Italy

    NASA Astrophysics Data System (ADS)

    Critto, Andrea; Pasini, Sara; Torresan, Silvia; Rizzi, Jonathan; Zabeo, Alex; Marcomini, Antonio

    2013-04-01

    Climate change will have different impacts on water resources and water-dependent services worldwide. In particular, climate-related risks for groundwater and related ecosystems pose great concern to scientists and water authorities involved in the protection of these valuable resources. Research is needed to better understand how climate change will impact groundwater resources in specific regions and places and to develop predictive tools for their sustainable management, copying with the envisaged effects of global climate change and the key principles of EU water policy. Within the European project Life+ TRUST (Tool for Regional-scale assessment of groundwater Storage improvement in adaptation to climaTe change), a Regional Risk Assessment (RRA) methodology was developed in order to identify impacts from climate change on groundwater and associated ecosystems (e.g. surface waters, agricultural areas, natural environments) and to rank areas and receptors at risk in the high and middle Veneto and Friuli Plain (Italy). Based on an integrated analysis of impacts, vulnerability and risks linked to climate change at the regional scale, a RRA framework complying with the Sources-Pathway-Receptor-Consequence (SPRC) approach was defined. Relevant impacts on groundwater and surface waters (i.e. groundwater level variations, changes in nitrate infiltration processes, changes in water availability for irrigation) were selected and analyzed through hazard scenario, exposure, susceptibility and risk assessment. The RRA methodology used hazard scenarios constructed through global and high resolution models simulations for the 2071-2100 period, according with IPCC A1B emission scenario in order to produce useful indications for future risk prioritization and to support the addressing of adaptation measures, primarily Managed Artificial Recharge (MAR) techniques. Relevant outcomes from the described RRA application highlighted that potential climate change impacts will occur

  8. The AgMIP Coordinated Global and Regional Assessments (CGRA) of Climate Change Impacts on Agriculture and Food Security

    NASA Astrophysics Data System (ADS)

    Ruane, A. C.; Rosenzweig, C.; Antle, J. M.; Elliott, J. W.

    2015-12-01

    The Agricultural Model Intercomparison and Improvement Project (AgMIP) has been working since 2010 to construct a protocol-based framework enabling regional assessments (led by regional experts and modelers) that can provide consistent inputs to global economic and integrated assessment models. These global models can then relay important global-level information that drive regional decision-making and outcomes throughout an interconnected agricultural system. AgMIP's community of nearly 800 climate, crop, livestock, economics, and IT experts has improved the state-of-the-art through model intercomparisons, validation exercises, regional integrated assessments, and the launch of AgMIP programs on all six arable continents. AgMIP is now launching Coordinated Global and Regional Assessments (CGRA) of climate change impacts on agriculture and food security to link global and regional crop and economic models using a protocol-based framework. The CGRA protocols are being developed to utilize historical observations, climate projections, and RCPs/SSPs from CMIP5 (and potentially CMIP6), and will examine stakeholder-driven agricultural development and adaptation scenarios to provide cutting-edge assessments of climate change's impact on agriculture and food security. These protocols will build on the foundation of established protocols from AgMIP's 30+ activities, and will emphasize the use of multiple models, scenarios, and scales to enable an accurate assessment of related uncertainties. The CGRA is also designed to provide the outputs necessary to feed into integrated assessment models (IAMs), nutrition and food security assessments, nitrogen and carbon cycle models, and additional impact-sector assessments (e.g., water resources, land-use, biomes, urban areas). This presentation will describe the current status of CGRA planning and initial prototype experiments to demonstrate key aspects of the protocols before wider implementation ahead of the IPCC Sixth Assessment

  9. The AgMIP Coordinated Global and Regional Assessments (CGRA) of Climate Change Impacts on Agriculture and Food Security

    NASA Technical Reports Server (NTRS)

    Ruane, Alex; Rosenzweig, Cynthia; Elliott, Joshua; Antle, John

    2015-01-01

    The Agricultural Model Intercomparison and Improvement Project (AgMIP) has been working since 2010 to construct a protocol-based framework enabling regional assessments (led by regional experts and modelers) that can provide consistent inputs to global economic and integrated assessment models. These global models can then relay important global-level information that drive regional decision-making and outcomes throughout an interconnected agricultural system. AgMIPs community of nearly 800 climate, crop, livestock, economics, and IT experts has improved the state-of-the-art through model intercomparisons, validation exercises, regional integrated assessments, and the launch of AgMIP programs on all six arable continents. AgMIP is now launching Coordinated Global and Regional Assessments (CGRA) of climate change impacts on agriculture and food security to link global and regional crop and economic models using a protocol-based framework. The CGRA protocols are being developed to utilize historical observations, climate projections, and RCPsSSPs from CMIP5 (and potentially CMIP6), and will examine stakeholder-driven agricultural development and adaptation scenarios to provide cutting-edge assessments of climate changes impact on agriculture and food security. These protocols will build on the foundation of established protocols from AgMIPs 30+ activities, and will emphasize the use of multiple models, scenarios, and scales to enable an accurate assessment of related uncertainties. The CGRA is also designed to provide the outputs necessary to feed into integrated assessment models (IAMs), nutrition and food security assessments, nitrogen and carbon cycle models, and additional impact-sector assessments (e.g., water resources, land-use, biomes, urban areas). This presentation will describe the current status of CGRA planning and initial prototype experiments to demonstrate key aspects of the protocols before wider implementation ahead of the IPCC Sixth Assessment

  10. An automated system for access to derived climate indices in support of ecological impacts assessments and resource management

    NASA Astrophysics Data System (ADS)

    Walker, J.; Morisette, J. T.; Talbert, C.; Blodgett, D. L.; Kunicki, T.

    2012-12-01

    A U.S. Geological Survey team is working with several providers to establish standard data services for the climate projection data they host. To meet the needs of climate adaptation science and landscape management communities, the team is establishing a set of climate index calculation algorithms that will consume data from various providers and provide directly useful data derivatives. Climate projections coming from various scenarios, modeling centers, and downscaling methods are increasing in number and size. Global change impact modeling and assessment, generally, requires inputs in the form of climate indices or values derived from raw climate projections. This requirement puts a large burden on a community not familiar with climate data formats, semantics, and processing techniques and requires storage capacity and computing resources out of the reach of most. In order to fully understand the implications of our best available climate projections, assessments must take into account an ensemble of climate projections and potentially a range of parameters for calculation of climate indices. These requirements around data access and processing are not unique from project to project, or even among projected climate data sets, pointing to the need for a reusable tool to generate climate indices. The U.S. Geological Survey has developed a pilot application and supporting web service framework that automates the generation of climate indices. The web service framework consists of standards-based data servers and a data integration broker. The resulting system allows data producers to publish and maintain ownership of their data and data consumers to access climate derivatives via a simple to use "data product ordering" workflow. Data access and processing is completed on enterprise "cloud" computing resources and only the relatively small, derived climate indices are delivered to the scientist or land manager. These services will assist the scientific and land

  11. Assessing the impacts of climate change on the forested watersheds in Korea using RCM scenarios

    NASA Astrophysics Data System (ADS)

    Jung, H.; Yoon, J. H.; Jeon, S. W.

    2015-12-01

    Climate change has significant effects on water resources in Korea, where about the 70% of areas are forested, by direct and indirect ways such as changes in forest species distribution and the growth rates. We explored the effect of climate change on water balance in the eight forested DAM watersheds by using a process-based hydrological model which integrates the various mechanisms of forest hydrology and developed the simplified impact response model to quantify the regional-scale impacts. As the first step of study, the GIS-based BROOK90 (gB90), operated on a grid resolution of 5×5 arc minute resolution under the RCP-based regional climate model (RCM) scenarios. To separate the effects of ecosystem functioning and distribution changes from the overall runoff change, modeling has conducted based on the three novel approaches of climate change with a doubled CO2 concentration, increases in the deciduous forest fraction at each watershed, and three RCM climate change. The results of the process-based model study are extended to develop the impact response model to assist policy makers to derive informed decisions in land, forest and water management.

  12. Assessing Impacts of Climate Change on Coastal Military Installations: Policy Implications

    DTIC Science & Technology

    2013-01-01

    biosphere. Climate system dynamics are driven by both internal and external forcing, such as volcanic eruptions , solar variations, or human-induced...to provide information in support of decisions about how to prevent or address severe impacts. In addition, understanding and accepting the amount...stressors occur only after certain performance or design thresholds are surpassed. For example, a sea wall will prevent any impacts from occurring

  13. Development and climate change: a mainstreaming approach for assessing economic, social, and environmental impacts of adaptation measures.

    PubMed

    Halsnaes, Kirsten; Traerup, Sara

    2009-05-01

    The paper introduces the so-called climate change mainstreaming approach, where vulnerability and adaptation measures are assessed in the context of general development policy objectives. The approach is based on the application of a limited set of indicators. These indicators are selected as representatives of focal development policy objectives, and a stepwise approach for addressing climate change impacts, development linkages, and the economic, social and environmental dimensions related to vulnerability and adaptation are introduced. Within this context it is illustrated using three case studies how development policy indicators in practice can be used to assess climate change impacts and adaptation measures based on three case studies, namely a road project in flood prone areas of Mozambique, rainwater harvesting in the agricultural sector in Tanzania and malaria protection in Tanzania. The conclusions of the paper confirm that climate risks can be reduced at relatively low costs, but the uncertainty is still remaining about some of the wider development impacts of implementing climate change adaptation measures.

  14. Collaborative experiment on intercomparison of regional-scale hydrological models for climate impact assessment

    NASA Astrophysics Data System (ADS)

    Krysanova, Valentina; Hattermann, Fred

    2015-04-01

    The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP) is a community-driven modelling effort bringing together impact modellers across sectors and scales to create more consistent and comprehensive projections of the impacts of climate change. This project is aimed in establishing a long-term, systematic, cross-sectoral impact model intercomparison process, including comparison of climate change impacts for multiple sectors using ensemble of climate scenarios and applying global and regional impact models. The project is coordinated by the Potsdam Institute for Climate Impact Research. An overview of this project and collaborative experiment related to the regional-scale water sector model intercomparison in ISI-MIP will be presented. The regional-scale water sector modelling includes eleven models applied to eleven large-scale river basins worldwide (not every model is applied to every of eleven basins). In total, 60-65 model applications will be done by several collaborating groups from different Institutions. The modelling tools include: ECOMAG, HBV, HBV-light, HYPE, LASCAM, LISFLOOD, mHM, SWAT, SWIM, VIC and WaterGAP. Eleven river basins chosen for the model application and intercomparison are: the Rhine and Tagus in Europe, the Niger and Blue Nile in Africa, the Ganges, Lena, Upper Yellow and Upper Yangtze in Asia, the Upper Mississippi and Upper Amazon in America, and the Murray-Darling in Australia. Their drainage areas range between 67,490 km2 (Tagus) to 2,460,000 km2 (Lena). Data from global and regional datasets are used for the model setup and calibration. The model calibration and validation was done using the WATCH climate data for all cases, also checking the representation of high and low percentiles of river discharge. For most of the basins, also intermediate gauge stations were included in the calibration. The calibration and validation results, evaluated with the Nash and Sutcliffe efficiency (NSE) and percent bias (PBIAS), are mostly

  15. Application of Remote Sensing to Assess the Impact of Short Term Climate Variability on Coastal Sedimentation

    NASA Technical Reports Server (NTRS)

    Moeller, Christopher C.; Gunshor, Mathew M.; Menzel, W. Paul; Huh, Oscar K.; Walker, Nan D.; Rouse, Lawrence J.; Frey, Herbert V. (Technical Monitor)

    2001-01-01

    The University of Wisconsin and Louisiana State University have teamed to study the forcing of winter season cold frontal wind systems on sediment distribution patterns and geomorphology in the Louisiana coastal zone. Wind systems associated with cold fronts have been shown to modify coastal circulation and resuspend sediments along the microtidal Louisiana coast. The assessment includes quantifying the influence of cumulative winter season atmospheric forcing (through surface wind observations) from year to year in response to short term climate variability, such as El Nino events. A correlation between winter cyclone frequency and the strength of El Nino events has been suggested. The atmospheric forcing data are being correlated to geomorphic measurements along western Louisiana's prograding muddy coast. Remote sensing data is being used to map and track sediment distribution patterns for various wind conditions. Transferring a suspended sediment concentration (SSC) algorithm to EOS MODIS observations will enable estimates of SSC in case 2 waters over the global domain. Progress in Year 1 of this study has included data collection and analysis of wind observations for atmospheric forcing characterization, a field activity (TX-2001) to collect in situ water samples with co-incident remote sensing measurements from the NASA ER-2 based MODIS Airborne Simulator (MAS) and the EOS Terra based MODerate resolution Imaging Spectroradiometer (MODIS) instruments, aerial photography and of sediment burial pipe field measurements along the prograding muddy Chenier Plain coast of western Louisiana for documenting coastal change in that dynamic region, and routine collection of MODIS 250 in resolution data for monitoring coastal sediment patterns. The data sets are being used in a process to transfer an SSC estimation algorithm to the MODIS platform. Work is underway on assessing coastal transport for the winter 2000-01 season. Water level data for use in a Geomorphic Impact

  16. Assessing climate change impacts on wetlands in a flow regulated catchment: A case study in the Macquarie Marshes, Australia.

    PubMed

    Fu, Baihua; Pollino, Carmel A; Cuddy, Susan M; Andrews, Felix

    2015-07-01

    Globally wetlands are increasingly under threat due to changes in water regimes as a result of river regulation and climate change. We developed the Exploring CLimAte Impacts on Management (EXCLAIM) decision support system (DSS), which simulates flow-driven habitat condition for 16 vegetation species, 13 waterbird species and 4 fish groups in the Macquarie catchment, Australia. The EXCLAIM DSS estimates impacts to habitat condition, considering scenarios of climate change and water management. The model framework underlying the DSS is a probabilistic Bayesian network, and this approach was chosen to explicitly represent uncertainties in climate change scenarios and predicted ecological outcomes. The results suggest that the scenario with no climate change and no water resource development (i.e. flow condition without dams, weirs or water license entitlements, often regarded as a surrogate for 'natural' flow) consistently has the most beneficial outcomes for vegetation, waterbird and native fish. The 2030 dry climate change scenario delivers the poorest ecological outcomes overall, whereas the 2030 wet climate change scenario has beneficial outcomes for waterbird breeding, but delivers poor outcomes for river red gum and black box woodlands, and fish that prefer river channels as habitats. A formal evaluation of the waterbird breeding model showed that higher numbers of observed nest counts are typically associated with higher modelled average breeding habitat conditions. The EXCLAIM DSS provides a generic framework to link hydrology and ecological habitats for a large number of species, based on best available knowledge of their flood requirements. It is a starting point towards developing an integrated tool for assessing climate change impacts on wetland ecosystems.

  17. Verifying a temporal disaggregation method for generating daily precipitation of potentially non-stationary climate change for site-specific impact assessment

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Statistical approaches have been widely used to downscale global climate model (GCM) projections to finer spatiotemporal resolution for impact assessment of climate change. However, a major concern of the approaches is whether a statistical relationship derived from historical climate will hold for...

  18. Climate Change Impacts for Conterminous USA: An Integrated Assessment Part 2. Models and Validation

    SciTech Connect

    Thomson, Allison M.; Rosenberg, Norman J.; Izaurralde, R Cesar C.; Brown, Robert A.

    2005-03-01

    As CO{sub 2} and other greenhouse gases accumulate in the atmosphere and contribute to rising global temperatures, it is important to examine how a changing climate may affect natural and managed ecosystems. In this series of papers, we study the impacts of climate change on agriculture, water resources and natural ecosystems in the conterminous United States using a suite of climate change predictions from General Circulation Models (GCMs) as described in Part 1. Here we describe the agriculture model EPIC and the HUMUS water model and validate them with historical crop yields and streamflow data. We compare EPIC simulated grain and forage crop yields with historical crop yields from the US Department of Agriculture and find an acceptable level of agreement for this study. The validation of HUMUS simulated streamflow with estimates of natural streamflow from the US Geological Survey shows that the model is able to reproduce significant relationships and capture major trends.

  19. Hydrological and nitrogen distributed catchment modeling to assess the impact of future climate change at Trichonis Lake, western Greece

    NASA Astrophysics Data System (ADS)

    Dimitriou, Elias; Moussoulis, Elias

    2010-03-01

    According to regional climatic models, climate change may affect Mediterranean lakes significantly in terms of water availability and quality. Trichonis Lake catchment covers a semi-mountainous area of 403 km2 including the largest Greek lake by volume (2.6 × 109 m3), located in western Greece. The impact of climate change on the hydrology and water quality of the lake, in terms of lake water level and nutrient concentrations, has been assessed. Water balance estimates and geographical information system tools were then used to set up a physically based, spatially distributed model. The calibrated model was simulated for two future scenarios specified by the Intergovernmental Panel on Climate Change: A2 (pessimistic) and B2 (more optimistic), which involved temperature/evaporation/evapotranspiration increase and small precipitation decrease. The model was calibrated efficiently for the 1990-1992 period. The two basic climatic scenarios illustrated that the responses of the lake water levels will show a decrease of 24.2 and 12 cm, respectively, and an increase of total nitrogen concentrations by 3.4 and 10%, in relation to the early 1990s values. These important findings suggest that mitigation and optimum management plans should be developed to eliminate the aforementioned climate change impacts and further research should follow.

  20. Climate Change Impacts for the Conterminous USA: An Integrated Assessment Part 5. Irrigated Agriculture and National Grain Crop Production

    SciTech Connect

    Thomson, Allison M.; Rosenberg, Norman J.; Izaurralde, Roberto C.; Brown, Robert A.

    2005-04-01

    Over the next century global warming will lead to changes in weather patterns, affecting many aspects of our environment. In the United States, the one sector of the economy most likely to be directly impacted by the changes in climate is agriculture. We have examined potential changes in dryland agriculture (Part 2) and in water resources necessary for crop production (Part 3). Here we assess to what extent, under a set of climate change scenarios, water supplies will be sufficient to meet the irrigation requirement of major grain crops in the U.S. In addition, we assess the overall impacts of changes in water supply on national grain production. We applied 12 climate change scenarios based on the predictions of General Circulation Models to a water resources model and a crop growth simulator for the conterminous United States. We calculate national production in current crop growing regions by applying irrigation where it is necessary and water is available. Irrigation declines under all climate change scenarios employed in this study. In certain regions and scenarios, precipitation declines so much that water supplies are too limited; in other regions it plentiful enough that little value is derived from irrigation. Total crop production is greater when irrigation is applied, but corn and soybean production declines under most scenarios. Winter wheat production responds significantly to elevated atmospheric CO2 and appears likely to increase under climate change.

  1. Health Impacts of Climate Change in Pacific Island Countries: A Regional Assessment of Vulnerabilities and Adaptation Priorities

    PubMed Central

    McIver, Lachlan; Kim, Rokho; Woodward, Alistair; Hales, Simon; Spickett, Jeffery; Katscherian, Dianne; Hashizume, Masahiro; Honda, Yasushi; Kim, Ho; Iddings, Steven; Naicker, Jyotishma; Bambrick, Hilary; McMichael, Anthony J.; Ebi, Kristie L.

    2015-01-01

    Background: Between 2010 and 2012, the World Health Organization Division of Pacific Technical Support led a regional climate change and health vulnerability assessment and adaptation planning project, in collaboration with health sector partners, in 13 Pacific island countries—Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Marshall Islands, Nauru, Niue, Palau, Samoa, Solomon Islands, Tonga, Tuvalu, and Vanuatu. Objective: We assessed the vulnerabilities of Pacific island countries to the health impacts of climate change and planned adaptation strategies to minimize such threats to health. Methods: This assessment involved a combination of quantitative and qualitative techniques. The former included descriptive epidemiology, time series analyses, Poisson regression, and spatial modeling of climate and climate-sensitive disease data, in the few instances where this was possible; the latter included wide stakeholder consultations, iterative consensus building, and expert opinion. Vulnerabilities were ranked using a “likelihood versus impact” matrix, and adaptation strategies were prioritized and planned accordingly. Results: The highest-priority climate-sensitive health risks in Pacific island countries included trauma from extreme weather events, heat-related illnesses, compromised safety and security of water and food, vector-borne diseases, zoonoses, respiratory illnesses, psychosocial ill-health, non-communicable diseases, population pressures, and health system deficiencies. Adaptation strategies relating to these climate change and health risks could be clustered according to categories common to many countries in the Pacific region. Conclusion: Pacific island countries are among the most vulnerable in the world to the health impacts of climate change. This vulnerability is a function of their unique geographic, demographic, and socioeconomic characteristics combined with their exposure to changing weather patterns associated with climate

  2. Evaluating the variability in surface water reservoir planning characteristics during climate change impacts assessment

    NASA Astrophysics Data System (ADS)

    Soundharajan, Bankaru-Swamy; Adeloye, Adebayo J.; Remesan, Renji

    2016-07-01

    This study employed a Monte-Carlo simulation approach to characterise the uncertainties in climate change induced variations in storage requirements and performance (reliability (time- and volume-based), resilience, vulnerability and sustainability) of surface water reservoirs. Using a calibrated rainfall-runoff (R-R) model, the baseline runoff scenario was first simulated. The R-R inputs (rainfall and temperature) were then perturbed using plausible delta-changes to produce simulated climate change runoff scenarios. Stochastic models of the runoff were developed and used to generate ensembles of both the current and climate-change-perturbed future runoff scenarios. The resulting runoff ensembles were used to force simulation models of the behaviour of the reservoir to produce 'populations' of required reservoir storage capacity to meet demands, and the performance. Comparing these parameters between the current and the perturbed provided the population of climate change effects which was then analysed to determine the variability in the impacts. The methodology was applied to the Pong reservoir on the Beas River in northern India. The reservoir serves irrigation and hydropower needs and the hydrology of the catchment is highly influenced by Himalayan seasonal snow and glaciers, and Monsoon rainfall, both of which are predicted to change due to climate change. The results show that required reservoir capacity is highly variable with a coefficient of variation (CV) as high as 0.3 as the future climate becomes drier. Of the performance indices, the vulnerability recorded the highest variability (CV up to 0.5) while the volume-based reliability was the least variable. Such variabilities or uncertainties will, no doubt, complicate the development of climate change adaptation measures; however, knowledge of their sheer magnitudes as obtained in this study will help in the formulation of appropriate policy and technical interventions for sustaining and possibly enhancing

  3. Assessment of the climate change impacts on fecal coliform contamination in a tidal estuarine system.

    PubMed

    Liu, Wen-Cheng; Chan, Wen-Ting

    2015-12-01

    Climate change is one of the key factors affecting the future microbiological water quality in rivers and tidal estuaries. A coupled 3D hydrodynamic and fecal coliform transport model was developed and applied to the Danshuei River estuarine system for predicting the influences of climate change on microbiological water quality. The hydrodynamic and fecal coliform model was validated using observational salinity and fecal coliform distributions. According to the analyses of the statistical error, predictions of the salinity and the fecal coliform concentration from the model simulation quantitatively agreed with the observed data. The validated model was then applied to predict the fecal coliform contamination as a result of climate change, including the change of freshwater discharge and the sea level rise. We found that the reduction of freshwater discharge under climate change scenarios resulted in an increase in the fecal coliform concentration. The sea level rise would decrease fecal coliform distributions because both the water level and the water volume increased. A reduction in freshwater discharge has a negative impact on the fecal coliform concentration, whereas a rising sea level has a positive influence on the fecal coliform contamination. An appropriate strategy for the effective microbiological management in tidal estuaries is required to reveal the persistent trends of climate in the future.

  4. Multi-criteria objective based climate change impact assessment for multi-purpose multi-reservoir systems

    NASA Astrophysics Data System (ADS)

    Müller, Ruben; Schütze, Niels

    2014-05-01

    Water resources systems with reservoirs are expected to be sensitive to climate change. Assessment studies that analyze the impact of climate change on the performance of reservoirs can be divided in two groups: (1) Studies that simulate the operation under projected inflows with the current set of operational rules. Due to non adapted operational rules the future performance of these reservoirs can be underestimated and the impact overestimated. (2) Studies that optimize the operational rules for best adaption of the system to the projected conditions before the assessment of the impact. The latter allows for estimating more realistically future performance and adaption strategies based on new operation rules are available if required. Multi-purpose reservoirs serve various, often conflicting functions. If all functions cannot be served simultaneously at a maximum level, an effective compromise between multiple objectives of the reservoir operation has to be provided. Yet under climate change the historically preferenced compromise may no longer be the most suitable compromise in the future. Therefore a multi-objective based climate change impact assessment approach for multi-purpose multi-reservoir systems is proposed in the study. Projected inflows are provided in a first step using a physically based rainfall-runoff model. In a second step, a time series model is applied to generate long-term inflow time series. Finally, the long-term inflow series are used as driving variables for a simulation-based multi-objective optimization of the reservoir system in order to derive optimal operation rules. As a result, the adapted Pareto-optimal set of diverse best compromise solutions can be presented to the decision maker in order to assist him in assessing climate change adaption measures with respect to the future performance of the multi-purpose reservoir system. The approach is tested on a multi-purpose multi-reservoir system in a mountainous catchment in Germany. A

  5. Assessment of impact of climate change and adaptation strategies on maize production in Uganda

    NASA Astrophysics Data System (ADS)

    Kikoyo, Duncan A.; Nobert, Joel

    2016-06-01

    Globally, various climatic studies have estimated a reduction of crop yields due to changes in surface temperature and precipitation especially for the developing countries which is heavily dependent on agriculture and lacks resources to counter the negative effects of climate change. Uganda's economy and the wellbeing of its populace depend on rain-fed agriculture which is susceptible to climate change. This study quantified the impacts of climate change and variability in Uganda and how coping strategies can enhance crop production against climate change and/or variability. The study used statistical methods to establish various climate change and variability indicators across the country, and uses the FAO AquaCrop model to simulate yields under possible future climate scenarios with and without adaptation strategies. Maize, the most widely grown crop was used for the study. Meteorological, soil and crop data were collected for various districts representing the maize growing ecological zones in the country. Based on this study, it was found that temperatures have increased by up to 1 °C across much of Uganda since the 1970s, with rates of warming around 0.3 °C per decade across the country. High altitude, low rainfall regions experience the highest level of warming, with over 0.5 °C/decade recorded in Kasese. Rainfall is variable and does not follow a specific significant increasing or decreasing trend. For both future climate scenarios, Maize yields will reduce in excess of 4.7% for the fast warming-low rainfall climates but increase on average by 3.5% for slow warming-high rainfall regions, by 2050. Improved soil fertility can improve yields by over 50% while mulching and use of surface water management practices improve yields by single digit percentages. The use of fertilizer application needs to go hand in hand with other water management strategies since more yields as a result of the improved soil fertility leads to increased water stress, especially

  6. Assessing the site-specific impacts of climate change on hydrology, soil erosion and crop yields in the Loess Plateau of China

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Climate changes can have great impacts on fragile agro-ecosystems in the Loess Plateau of China, which is one of the most severely eroded regions in the world. The objective of this study is to assess the site-specific impacts of projected climate change scenarios for 2010-2039 on hydrology, soil l...

  7. Assessing the impact of climate change on water resources in a tropical West African catchment using an ensemble of CORDEX climate simulations (Dano, Burkina Faso)

    NASA Astrophysics Data System (ADS)

    Yira, Yacouba; Diekkrüger, Bernd; Steup, Gero; Yaovi Bossa, Aymar

    2016-04-01

    This study assesses the potential impact of climate change on water resources in the Dano catchment (Burkina Faso, West Africa). There is now essential consensus on the importance of performing multi (climate)-model assessments in order to estimate the response of the West African climate to global change. Taking advantage of the results of the COordinated Regional climate Downscaling Experiment (CORDEX-Africa) project, this study evaluates climate change impacts on water resources using an ensemble of six Regional Climate Models (RCMs) in a catchment that is potentially vulnerable to climate change and presents a low adaptive capacity. The ensemble of RCMs was first evaluated to get an estimate of the historical simulated rainfall for the catchment by comparing RCM-based simulated historical rainfall to the observed rainfall data provided by the National Meteorological Service (DGM). In general, the simulated historical rainfall agrees within some degree of variability with the observed rainfall in regard to the mean annual cycle of precipitation. However, significant biases such as a double-peaked rainy season as well as the timing of the rainy season were exhibited by individual RCMs. A statistical bias correction (Quantile mapping) was then applied to the RCM-based simulated daily rainfall for the overlapping period of 1971-2000. The results confirm the effectiveness of the applied bias correction method for rainfall. Temperature and bias corrected rainfall data from the ensemble of RCMs was used as input for the Water flow and balance Simulation Model (WaSiM) to simulate river discharge, soil moisture, evapotranspiration and groundwater depth. To take into account the concern of the potential alteration of the climate change signal due to bias correction, uncorrected climate data for a single RCM was also applied to the hydrological model. The simulated hydrological variables show a similar behavior under observed and bias corrected climate data for the

  8. Assessing the impacts of future climate change on protected area networks: a method to simulate individual species' responses.

    PubMed

    Willis, Stephen G; Hole, Dave G; Collingham, Yvonne C; Hilton, Geoff; Rahbek, Carsten; Huntley, Brian

    2009-05-01

    Global climate change, along with continued habitat loss and fragmentation, is now recognized as being a major threat to future biodiversity. There is a very real threat to species, arising from the need to shift their ranges in the future to track regions of suitable climate. The Important Bird Area (IBA) network is a series of sites designed to conserve avian diversity in the face of current threats from factors such as habitat loss and fragmentation. However, in common with other networks, the IBA network is based on the assumption that the climate will remain unchanged in the future. In this article, we provide a method to simulate the occurrence of species of conservation concern in protected areas, which could be used as a first-step approach to assess the potential impacts of climate change upon such species in protected areas. We use species-climate response surface models to relate the occurrence of 12 biome-restricted African species to climate data at a coarse (quarter degree-degree latitude-longitude) resolution and then intersect the grid model output with IBA outlines to simulate the occurrence of the species in South African IBAs. Our results demonstrate that this relatively simple technique provides good simulations of current species' occurrence in protected areas. We then use basic habitat data for IBAs along with habitat preference data for the species to reduce over-prediction and further improve predictive ability. This approach can be used with future climate change scenarios to highlight vulnerable species in IBAs in the future and allow practical recommendations to be made to enhance the IBA network and minimize the predicted impacts of climate change.

  9. Assessing Climate Change Impacts on Large-Scale Soil Moisture, its Temporal Variability and Associated Drought-Flood Risks

    NASA Astrophysics Data System (ADS)

    Destouni, G.; Verrot, L.

    2015-12-01

    Soil moisture is a dynamic variable of great importance for water cycling and climate, as well as for ecosystems and societal sectors such as agriculture. Model representation of soil moisture and its temporal variability is, for instance, central for assessing the impacts of hydro-climatic change on drought and flood risks. However, our ability to assess such impacts and guide appropriate mitigation and adaptation measures is challenged by the need to link data and modeling across a range of spatiotemporal scales of relevance for the variability and change of soil moisture in long-term time series. This paper synthesizes recent advances for meeting this challenge by a relatively simple, analytical, data-driven approach to modeling the variability and change of large-scale soil moisture under long-term hydro-climatic change. Model application to two major Swedish drainage basins, and model-data comparison for ten study catchments across the United States shows the model ability to reproduce variability dynamics in long-term data series of the key soil-moisture variables: unsaturated water content and groundwater table position. The Swedish application shows that human-driven hydro-climatic shifts may imply increased risk for hydrological drought (runoff-related) and agricultural drought (soil moisture-related), even though meteorological drought risk (precipitation-related) is unchanged or lowered. The direct model-data comparison for ten U.S. catchments further shows good model representation of seasonal and longer-term fluctuation timings and frequencies for water content and groundwater level, along with physically reasonable model tendency to underestimate the local fluctuation magnitudes. Overall, the tested modeling approach can fulfill its main aim of screening long-term time series of large-scale hydro-climatic data (historic or projected for the future by climate modeling) for relatively simple, unexaggerated assessment of variability and change in key

  10. Assessing the impact of late Pleistocene megafaunal extinctions on global vegetation and climate

    NASA Astrophysics Data System (ADS)

    Brault, M.-O.; Mysak, L. A.; Matthews, H. D.; Simmons, C. T.

    2013-08-01

    The end of the Pleistocene was a turning point for the Earth system as climate gradually emerged from millennia of severe glaciation in the Northern Hemisphere. The deglacial climate change coincided with an unprecedented decline in many species of Pleistocene megafauna, including the near-total eradication of the woolly mammoth. Due to an herbivorous diet that presumably involved large-scale tree grazing, the mammoth extinction has been associated with the rapid expansion of dwarf deciduous trees in Siberia and Beringia, thus potentially contributing to the changing climate of the period. In this study, we use the University of Victoria Earth System Climate Model (UVic ESCM) to simulate the possible effects of these extinctions on climate during the latest deglacial period. We have explored various hypothetical scenarios of forest expansion in the northern high latitudes, quantifying the biogeophysical effects in terms of changes in surface albedo and air temperature. These scenarios include a Maximum Impact Scenario (MIS) which simulates the greatest possible post-extinction reforestation in the model, and sensitivity tests which investigate the timing of extinction, the fraction of trees grazed by mammoths, and the southern extent of mammoth habitats. We also show the results of a simulation with free atmospheric CO2-carbon cycle interactions. For the MIS, we obtained a surface albedo increase and global warming of 0.006 and 0.175 °C, respectively. Less extreme scenarios produced smaller global mean temperature changes, though local warming in some locations exceeded 0.3 °C even in the more realistic extinction scenarios. In the free CO2 simulation, the biogeophysical-induced warming was amplified by a biogeochemical effect, whereby the replacement of high-latitude tundra with shrub forest led to a release of soil carbon to the atmosphere and a small atmospheric CO2 increase. Overall, our results suggest the potential for a small, though non-trivial, effect of

  11. Errors and uncertainties introduced by a regional climate model in climate impact assessments: example of crop yield simulations in West Africa

    NASA Astrophysics Data System (ADS)

    Ramarohetra, Johanna; Pohl, Benjamin; Sultan, Benjamin

    2015-12-01

    The challenge of estimating the potential impacts of climate change has led to an increasing use of dynamical downscaling to produce fine spatial-scale climate projections for impact assessments. In this work, we analyze if and to what extent the bias in the simulated crop yield can be reduced by using the Weather Research and Forecasting (WRF) regional climate model to downscale ERA-Interim (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) rainfall and radiation data. Then, we evaluate the uncertainties resulting from both the choice of the physical parameterizations of the WRF model and its internal variability. Impact assessments were performed at two sites in Sub-Saharan Africa and by using two crop models to simulate Niger pearl millet and Benin maize yields. We find that the use of the WRF model to downscale ERA-Interim climate data generally reduces the bias in the simulated crop yield, yet this reduction in bias strongly depends on the choices in the model setup. Among the physical parameterizations considered, we show that the choice of the land surface model (LSM) is of primary importance. When there is no coupling with a LSM, or when the LSM is too simplistic, the simulated precipitation and then the simulated yield are null, or respectively very low; therefore, coupling with a LSM is necessary. The convective scheme is the second most influential scheme for yield simulation, followed by the shortwave radiation scheme. The uncertainties related to the internal variability of the WRF model are also significant and reach up to 30% of the simulated yields. These results suggest that regional models need to be used more carefully in order to improve the reliability of impact assessments.

  12. Assessing the impact of late Pleistocene megafaunal extinctions on global vegetation and climate

    NASA Astrophysics Data System (ADS)

    Brault, Marc-Olivier; Mysak, Lawrence; Damon Matthews, H.; Simmons, Christopher

    2013-04-01

    The end of the Pleistocene marked a turning point for the Earth system as the climate gradually emerged from millennia of severe glaciation in the Northern Hemisphere. It is widely known that the deglacial climate change was accompanied by an unprecedented decline in many species of large terrestrial mammals, featuring among others the near-total eradication of the woolly mammoth. Due to an herbivorous diet that involved the grazing of a large number of trees, their extinction is thought to have contributed to the rapid and well-documented expansion of dwarf deciduous trees in Siberia and Beringia, which in turn could have affected the surface albedo of Northern Continents, and contributed to the changing climate of the period. In this study, we use the University of Victoria Earth System Climate Model (UVic ESCM) to simulate the possible effects of megafaunal extinctions on Pleistocene climate change. We have introduced various hypothetical scenarios of megafaunal extinctions ranging from catastrophic to more realistic cases, in order to quantify their potential impact on climate via the associated biogeophysical effects of expanding vegetation on regional and global temperature. In particular, we focus our attention on a Maximum Impact Scenario (MIS), which represents the greatest possible post-extinction reforestation in the model. The more realistic experiments include sensitivity tests based on the timing of extinction, the amount of tree clearance associated with mammoth diets, and the size of mammoth habitats. We also show the results of a simulation with free (non-prescribed) atmospheric CO2. For the most extreme extinction scenario, we obtained a surface albedo increase of 0.006, which resulted in a global warming of 0.175°C. Less extreme scenarios produced smaller global mean temperature changes, though local warming in some locations exceeded 0.3°C even in the more realistic extinction scenarios. In the simulation with freely evolving atmospheric CO2

  13. Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impacts, Vulnerability, and Adaptation. 5; Chapter

    NASA Technical Reports Server (NTRS)

    Valdivia, Roberto O.; Antle, John M.; Rosenzweig, Cynthia; Ruane, Alexander C.; Vervoort, Joost; Ashfaq, Muhammad; Hathie, Ibrahima; Tui, Sabine Homann-Kee; Mulwa, Richard; Nhemachena, Charles; Ponnusamy, Paramasivam; Rasnayaka, Herath; Singh, Harbir

    2015-01-01

    The global change research community has recognized that new pathway and scenario concepts are needed to implement impact and vulnerability assessment where precise prediction is not possible, and also that these scenarios need to be logically consistent across local, regional, and global scales. For global climate models, representative concentration pathways (RCPs) have been developed that provide a range of time-series of atmospheric greenhouse-gas concentrations into the future. For impact and vulnerability assessment, new socio-economic pathway and scenario concepts have also been developed, with leadership from the Integrated Assessment Modeling Consortium (IAMC).This chapter presents concepts and methods for development of regional representative agricultural pathways (RAOs) and scenarios that can be used for agricultural model intercomparison, improvement, and impact assessment in a manner consistent with the new global pathways and scenarios. The development of agriculture-specific pathways and scenarios is motivated by the need for a protocol-based approach to climate impact, vulnerability, and adaptation assessment. Until now, the various global and regional models used for agricultural-impact assessment have been implemented with individualized scenarios using various data and model structures, often without transparent documentation, public availability, and consistency across disciplines. These practices have reduced the credibility of assessments, and also hampered the advancement of the science through model intercomparison, improvement, and synthesis of model results across studies. The recognition of the need for better coordination among the agricultural modeling community, including the development of standard reference scenarios with adequate agriculture-specific detail led to the creation of the Agricultural Model Intercomparison and Improvement Project (AgMIP) in 2010. The development of RAPs is one of the cross-cutting themes in AgMIP's work

  14. Advancing scientific base lines for the integrated assessment of climate change impacts and adaptation in mountain regions in developing countries

    NASA Astrophysics Data System (ADS)

    Huggel, C.; Jurt, N. Salzmann, C.; Calanca, P.; Ordonez, A. Diaz, J.; Zappa, T. Jonas M.; Konzelmann, T.; Lagos, P.; Obersteiner, M.; Rohrer, M.; Silverio, W.

    2009-04-01

    Adaptation to climate change impacts is a major challenge for the human society. For countries in development, consistent base lines of expected impacts at the regional scale are required to plan and implement low-cost adaptation measures that effectively address societal needs. However, donors and implementing agencies are often confronted with a lack of scientific data. This poses a serious problem to global adaptation funds, such as the one established under the UNFCCC, which are predominantly directed towards developing countries. This contribution summarizes recent experiences gained from international projects in the Andes, by the Peruvian and Swiss Governments, and the World Bank, on the development of scientific base lines for selected regions in the Peruvian Andes. The focus is on the nexus between water resources, food security and natural disasters. The analysis shows that Peruvian Andes are among the most vulnerable regions to climate change. Negative impacts on water resources are expected from the rapid retreat of glaciers, extended and more frequent drought periods and increasing human needs. Climate change impacts are exacerbated by continued sub-optimal resource management. As a consequence of growing stresses, water availability for human consumption, agriculture and energy generation is increasingly limited. Assessment of the current conditions and reliable projections for the future are hampered by scarce data availability and methodological problems, such as downscaling of global and regional climate scenarios, cross-sector effects, and others. It is critical that related uncertainties, and the propagation thereof, are assessed throughout the impact analysis for an improved management of adaptation measures. Challenges furthermore include communication and understanding among different actors, including the scientific community, political and implementation agencies, and local population. Based on our experiences we will outline a good practice

  15. Assessing the impact of future climate extremes on the US corn and soybean production

    NASA Astrophysics Data System (ADS)

    Jin, Z.

    2015-12-01

    Future climate changes will place big challenges to the US agricultural system, among which increasing heat stress and precipitation variability were the two major concerns. Reliable prediction of crop productions in response to the increasingly frequent and severe extreme climate is a prerequisite for developing adaptive strategies on agricultural risk management. However, the progress has been slow on quantifying the uncertainty of computational predictions at high spatial resolutions. Here we assessed the risks of future climate extremes on the US corn and soybean production using the Agricultural Production System sIMulator (APSIM) model under different climate scenarios. To quantify the uncertainty due to conceptual representations of heat, drought and flooding stress in crop models, we proposed a new strategy of algorithm ensemble in which different methods for simulating crop responses to those extreme climatic events were incorporated into the APSIM. This strategy allowed us to isolate irrelevant structure differences among existing crop models but only focus on the process of interest. Future climate inputs were derived from high-spatial-resolution (12km × 12km) Weather Research and Forecasting (WRF) simulations under Representative Concentration Pathways 4.5 (RCP 4.5) and 8.5 (RCP 8.5). Based on crop model simulations, we analyzed the magnitude and frequency of heat, drought and flooding stress for the 21st century. We also evaluated the water use efficiency and water deficit on regional scales if farmers were to boost their yield by applying more fertilizers. Finally we proposed spatially explicit adaptation strategies of irrigation and fertilizing for different management zones.

  16. Long-term forest monitoring in Switzerland: Assessing climate change impacts

    SciTech Connect

    Kraeuchi, N.

    1996-09-01

    This paper discusses successional characteristics of forest ecosystems as influenced by a changing environment, and it focuses on the potential risks resulting from this change. In the early 90`s, a long-term forest monitoring program was established in Switzerland. The primary aim of this program is to identify and evaluate changes in the composition, structure and function of selected forest ecosystems. To assess the potential risks arising with changing weather patterns, a total of 15 monitoring plots were chosen according to specific selection criteria, namely site homogeneity and site sensitivity to climate change and air pollution. Transition characteristics from one mature forest community type to another is strongly modified by different environmental factors such as temperature and precipitation. During climate change, the transition depends on the rate and extent of the forcing factors, the speed of migration and the stability of the communities as they become increasingly maladapted to local climates. It is unknown whether all systems will stabilize in a new equilibrium, and, some forest species may be unable to keep pace with shifts in climatic zones. To assess these risks, FORSUM, a forest succession model for Central Europe, is applied to explain the forest succession on the Long-term Forest Ecosystem Research plots based on the new IPCC 95 climate scenarios. Continuous model improvement based on an increasing number of site specific data-series for model parameterization will help to identify high and low risk forest areas in Switzerland and to evaluate the long-term sustainability of Swiss forests, currently at risk from a number of anthropogenic and biogenic stresses.

  17. Assessing the impact of late Pleistocene megafaunal extinctions on global vegetation and climate

    NASA Astrophysics Data System (ADS)

    Brault, M.; Mysak, L. A.; Matthews, D.; Simmons, C. T.

    2012-12-01

    The end of the Pleistocene marked a turning point for the Earth system, as climate gradually emerged from millennia of severe glaciation in the Northern Hemisphere. It is widely known that the deglacial climate change then was accompanied by an unprecedented decline in many species of large terrestrial mammals, featuring among others the near-total eradication of the woolly mammoth. Due to a herbivorous diet that involved the grazing of a large number of trees, their extinction is thought to have contributed to the rapid and well-documented expansion of dwarf deciduous trees in Siberia and Beringia, which in turn would have resulted in a significant reduction in surface albedo, leading to an increase in global temperature. In this study, we use the UVic Earth System Climate Model (an EMIC) to simulate various scenarios of the megafaunal extinctions, ranging from the catastrophic to more realistic cases, in order to quantify their potential impact on the climate system, and investigate the associated biogeophysical feedbacks between the growing vegetation and rising temperatures. The more realistic experiments include sensitivity tests based on the timing of extinction, tree clearance ration, and size of habitat, as well as a gradual extinction and a simulation involving free (non-prescribed) atmospheric CO2. Overall, most of the paleoclimate simulations and the sensitivity tests yield results that correspond well with our intuition. For the maximum impact scenario, we obtain a surface albedo increase of 0.006, which translates into a global warming of 0.175°C; these numbers are comparable in magnitude to those in similar studies.

  18. Assessment Of The Impact Of ESA CCI Land Cover Information For Global Climate Model Simulations

    NASA Astrophysics Data System (ADS)

    Khlystova, Iryna G.; Loew, A.; Hangemann, S.; Defourny, P.; Brockmann, C.; Bontemps, S.

    2013-12-01

    Addressing the issues of climate change, the European Space Agency has recently initiated the Global Monitoring of an Essential Climate Variables program (ESA Climate Change Initiative). The main objective is to realize the full potential of the long-term global Earth Observation archives that ESA has established over the last thirty years. Due to well organized data access and transparency for the data quality, as well as long-term scientific and technical support, the provided datasets have become very attractive for the use in Earth System Modeling. The Max Plank Institute for Meteorology is contributing to the ESA CCI via the Climate Modeler User Group (CMUG) activities and is responsible for providing a modeler perspective on the Land Cover and Fire Essential Climate Variables. The new ESA land cover ECV has recently released a new global 300-m land cover dataset. This dataset is supported by an interactive tool which allows flexible horizontal re-scaling and conversion from currently accepted satellite specific land classes to the model- specific Plant Functional Types (PFT) categorization. Such a dataset is an ideal starting point for the generation of the land cover information for the initialization of model cover fractions. In this presentation, we show how the usage of this new dataset affects the model performance, comparing it to the standard model set-up, in terms of energy and water fluxes. To do so, we performed a number of offline land-system simulations with original standard JSBACH land cover information and with the new ESA CCI land cover product. We have analyzed the impact of land cover on a simulated surface albedo, temperature and energy fluxes as well as on the biomass load and fire carbon emissions.

  19. Application of Remote Sensing to Assess the Impact of Short Term Climate Variability on Coastal Sedimentation

    NASA Technical Reports Server (NTRS)

    Menzel, W. Paul; Huh, Oscar K.; Walker, Nan

    2004-01-01

    The purpose of this joint University of Wisconsin (UW) and Louisiana State University (LSU) project has been to relate short term climate variation to response in the coastal zone of Louisiana in an attempt to better understand how the coastal zone is shaped by climate variation. Climate variation in this case largely refers to variation in surface wind conditions that affect wave action and water currents in the coastal zone. The primary region of focus was the Atchafalaya Bay and surrounding bays in the central coastal region of Louisiana. Suspended solids in the water column show response to wind systems both in quantity (through resuspension) and in the pattern of dispersement or transport. Wind systems associated with cold fronts are influenced by short term climate variation. Wind energy was used as the primary signature of climate variation in this study because winds are a significant influence on sediment transport in the micro-tidal Gilf of Mexico coastal zone. Using case studies, the project has been able to investigate the influence of short term climate variation on sediment transport. Wind energy data, collected daily for National Weather Service (NWS) stations at Lake Charles and New Orleans, LA, were used as an indicator of short term climate variation influence on seasonal time scales. A goal was to relate wind energy to coastal impact through sediment transport. This goal was partially accomplished by combining remote sensing and wind energy data. Daily high resolution remote sensing observations are needed to monitor the complex coastal zone environment, where winds, tides, and water level all interact to influence sediment transport. The NASA Earth Observing System (EOS) era brings hope for documenting and revealing response of the complex coastal transport mosaic through regular high spatial resolution observations from the Moderate resolution Imaging Spectrometer (MODIS) instrument. MODIS observations were sampled in this project for

  20. Coastal impacts, adaptation, and vulnerabilities: a technical input to the 2013 National Climate Assessment

    USGS Publications Warehouse

    Burkett, Virginia; Davidson, Margaret; Burkett, Virginia; Davidson, Margaret

    2012-01-01

    The coast has long provided communities with a multitude of benefits including an abundance of natural resources that sustain economies, societies, and ecosystems. Coasts provide natural harbors for commerce, trade, and transportation; beaches and shorelines that attract residents and tourists; and wetlands and estuaries that are critical for fisheries and water resources. Coastal ecosystems provide critical functions to cycle and move nutrients, store carbon, detoxify wastes, and purify air and water. These areas also mitigate floods and buffer against coastal storms that bring high winds and salt water inland and erode the shore. Coastal regions are critical in the development, transportation, and processing of oil and natural gas resources and, more recently, are being explored as a source of energy captured from wind and waves. The many benefits and opportunities provided in coastal areas have strengthened our economic reliance on coastal resources. Consequently, the high demands placed on the coastal environment will increase commensurately with human activity. Because 35 U.S. states, commonwealths, and territories have coastlines that border the oceans or Great Lakes, impacts to coastline systems will reverberate through social, economic, and natural systems across the U.S. Impacts on coastal systems are among the most costly and most certain consequences of a warming climate (Nicholls et al., 2007). The warming atmosphere is expected to accelerate sea-level rise as a result of the decline of glaciers and ice sheets and the thermal expansion of sea water. As mean sea level rises, coastal shorelines will retreat and low-lying areas will tend to be inundated more frequently, if not permanently, by the advancing sea. As atmospheric temperature increases and rainfall patterns change, soil moisture and runoff to the coast are likely to be altered. An increase in the intensity of climatic extremes such as storms and heat spells, coupled with other impacts of

  1. Assessing the Impacts of Climate Change on Hydrologic Extremes in the Pacific Northwest

    NASA Astrophysics Data System (ADS)

    Hamlet, A. F.; Tohver, I.; Lee, S.; Salathe, E.; Lutz, E.

    2010-12-01

    We report on three case studies at the University of Washington assessing the changing nature of hydrologic extremes in the Pacific Northwest (PNW) in response to projected climate change. The first is associated with the Columbia Basin Climate Change Scenarios Project (CBCCSP) which provides estimates of the hundred-year flood (Q100) and the ten-year 7-day low flow (7Q10) for 297 streamflow locations in the PNW. A key finding of the study is that changing flood risks in response to climate change in the PNW are a complex function of both temperature sensitivities related to snow processes (which vary with historical mid-winter temperature regimes) and the spatial distribution of precipitation change. Previous analyses using a less sophisticated statistical downscaling approach, for example, showed declining flood risk in many of the coldest locations in the PNW. Because of increases in precipitation in the northern most portions of the domain, the current results show increasing flood risks in these same areas. Changes in low flow risks, by comparison, are broadly similar for most sites. The ensemble analysis at each streamflow site facilitates assessment of uncertainty. A second case study assesses changing flood risks at relatively small spatial scales with the intent to improve estimates of Q100 that are currently used in professional practice to design infrastructure such as culverts for forest roads. Current methods used in practice would suggest no change in flood risk in response to projected climate change in the PNW. Use of a physically based hydrologic model yields a complex spatial pattern of changing flood risk with topography that also varies with basin size. A third study (currently in progress) uses an ensemble of downscaled scenarios from a regional-scale climate model at 12km resolution to estimate changing flood risks for the same 297 streamflow locations examined in the CBCCSP study. A primary goal of this study is to assess the potential

  2. Combining Satellite Data and Models to Assess the Impacts of Urbanization on the Continental US Surface Climate

    NASA Technical Reports Server (NTRS)

    Bounoua, L.; Zhang, P.; Imhoff, M.; Santanello, J.; Kumar, S.; Shepherd, M.; Quattrochi, D.; Silva, J.; Rosenzweigh, C.; Gaffin, S.; Mostovoy, G.

    2013-01-01

    Urbanization is one of the most important and long lasting forms of land transformation. Urbanization affects the surface climate in different ways: (1) by reduction of the vegetation fraction causing subsequent reduction in photosynthesis and plant s water transpiration, (2) by alternation of surface runoff and infiltration and their impacts on soil moisture and the water table, (3) by change in the surface albedo and surface energy partitioning, and (4) by transformation of the surface roughness length and modification of surface fluxes. Land cover and land use change maps including urban areas have been developed and will be used in a suite of land surface models of different complexity to assess the impacts of urbanization on the continental US surface climate. These maps and datasets based on a full range of available satellite data and ground observations will be used to characterize distant-past (pre-urban), recent-past (2001), present (2010), and near future (2020) land cover and land use changes. The main objective of the project is to assess the impacts of these land transformation on past, current and near-future climate and the potential feedbacks from these changes on the atmospheric, hydrologic, biological, and socio-economic properties beyond the immediate metropolitan regions of cities and their near suburbs. The WRF modeling system will be used to explore the nature and the magnitude of the two-way interactions between urban lands and the atmosphere and assess the overall regional dynamic effect of urban expansion on the northeastern US weather and climate

  3. Selection of a Representative Subset of Global Climate Models that Captures the Profile of Regional Changes for Integrated Climate Impacts Assessment

    NASA Technical Reports Server (NTRS)

    Ruane, Alex C.; Mcdermid, Sonali P.

    2017-01-01

    We present the Representative Temperature and Precipitation (T&P) GCM Subsetting Approach developed within the Agricultural Model Intercomparison and Improvement Project (AgMIP) to select a practical subset of global climate models (GCMs) for regional integrated assessment of climate impacts when resource limitations do not permit the full ensemble of GCMs to be evaluated given the need to also focus on impacts sector and economics models. Subsetting inherently leads to a loss of information but can free up resources to explore important uncertainties in the integrated assessment that would otherwise be prohibitive. The Representative T&P GCM Subsetting Approach identifies five individual GCMs that capture a profile of the full ensemble of temperature and precipitation change within the growing season while maintaining information about the probability that basic classes of climate changes (relatively cool/wet, cool/dry, middle, hot/wet, and hot/dry) are projected in the full GCM ensemble. We demonstrate the selection methodology for maize impacts in Ames, Iowa, and discuss limitations and situations when additional information may be required to select representative GCMs. We then classify 29 GCMs over all land areas to identify regions and seasons with characteristic diagonal skewness related to surface moisture as well as extreme skewness connected to snow-albedo feedbacks and GCM uncertainty. Finally, we employ this basic approach to recognize that GCM projections demonstrate coherence across space, time, and greenhouse gas concentration pathway. The Representative T&P GCM Subsetting Approach provides a quantitative basis for the determination of useful GCM subsets, provides a practical and coherent approach where previous assessments selected solely on availability of scenarios, and may be extended for application to a range of scales and sectoral impacts.

  4. Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production

    NASA Astrophysics Data System (ADS)

    Teshager, Awoke D.; Gassman, Philip W.; Schoof, Justin T.; Secchi, Silvia

    2016-08-01

    Modeling impacts of agricultural scenarios and climate change on surface water quantity and quality provides useful information for planning effective water, environmental and land use policies. Despite the significant impacts of agriculture on water quantity and quality, limited literature exists that describes the combined impacts of agricultural land use change and climate change on future bioenergy crop yields and watershed hydrology. In this study, the soil and water assessment tool (SWAT) eco-hydrological model was used to model the combined impacts of five agricultural land use change scenarios and three downscaled climate pathways (representative concentration pathways, RCPs) that were created from an ensemble of eight atmosphere-ocean general circulation models (AOGCMs). These scenarios were implemented in a well-calibrated SWAT model for the intensively farmed and tiled Raccoon River watershed (RRW) located in western Iowa. The scenarios were executed for the historical baseline, early century, mid-century and late century periods. The results indicate that historical and more corn intensive agricultural scenarios with higher CO2 emissions consistently result in more water in the streams and greater water quality problems, especially late in the 21st century. Planting more switchgrass, on the other hand, results in less water in the streams and water quality improvements relative to the baseline. For all given agricultural landscapes simulated, all flow, sediment and nutrient outputs increase from early-to-late century periods for the RCP4.5 and RCP8.5 climate scenarios. We also find that corn and switchgrass yields are negatively impacted under RCP4.5 and RCP8.5 scenarios in the mid- and late 21st century.

  5. Assessing the impact of late Pleistocene megafaunal extinctions on global vegetation and climate

    NASA Astrophysics Data System (ADS)

    Brault, M.-O.; Mysak, L. A.; Matthews, H. D.; Simmons, C. T.

    2013-01-01

    The end of the Pleistocene marked a turning point for the Earth system as climate gradually emerged from millennia of severe glaciation in the Northern Hemisphere. It is widely acknowledged that the deglacial climate change coincided with an unprecedented decline in many species of large terrestrial mammals, including the near-total eradication of the woolly mammoth. Due to an herbivorous diet that presumably involved large-scale tree grazing, the mammoth expansion would have accelerated the expansion of dwarf deciduous trees in Siberia and Beringia, thus contributing to the changing climate of the period. In this study, we use the University of Victoria Earth System Climate Model (UVic ESCM) to simulate the possible effects of megafaunal extinctions on Pleistocene climate change. We have explored various hypothetical scenarios of forest expansion in the Northern Continents, quantifying the regional and global biogeophysical effects in terms of changes in surface albedo and air temperature. In particular, we focus our attention on a Maximum Impact Scenario (MIS) which simulates the greatest possible post-extinction reforestation in the model. More realistic experiments include sensitivity tests based on the timing of extinction, the fraction of trees grazed by mammoths, and the size of mammoth habitats. We also show the results of a simulation with free (non-prescribed) atmospheric CO2. For the MIS, we obtained a surface albedo increase of 0.006, which resulted in a global warming of 0.175 °C. Less extreme scenarios produced smaller global mean temperature changes, though local warming in some locations exceeded 0.3 °C even in the more realistic extinction scenarios. In the free CO2 simulation, the biogeophysical-induced warming was amplified by a biogeochemical effect whereby the replacement of high-latitude tundra with shrub forest led to a release of soil carbon to the atmosphere and a small atmospheric CO2 increase. Overall, our results suggest the potential

  6. Assessing climate change impacts on the rape stem weevil, Ceutorhynchus napi Gyll., based on bias- and non-bias-corrected regional climate change projections.

    PubMed

    Junk, J; Ulber, B; Vidal, S; Eickermann, M

    2015-11-01

    Agricultural production is directly affected by projected increases in air temperature and changes in precipitation. A multi-model ensemble of regional climate change projections indicated shifts towards higher air temperatures and changing precipitation patterns during the summer and winter seasons up to the year 2100 for the region of Goettingen (Lower Saxony, Germany). A second major controlling factor of the agricultural production is the infestation level by pests. Based on long-term field surveys and meteorological observations, a calibration of an existing model describing the migration of the pest insect Ceutorhynchus napi was possible. To assess the impacts of climate on pests under projected changing environmental conditions, we combined the results of regional climate models with the phenological model to describe the crop invasion of this species. In order to reduce systematic differences between the output of the regional climate models and observational data sets, two different bias correction methods were applied: a linear correction for air temperature and a quantile mapping approach for precipitation. Only the results derived from the bias-corrected output of the regional climate models showed satisfying results. An earlier onset, as well as a prolongation of the possible time window for the immigration of Ceutorhynchus napi, was projected by the majority of the ensemble members.

  7. Assessing climate change impacts on the rape stem weevil, Ceutorhynchus napi Gyll., based on bias- and non-bias-corrected regional climate change projections

    NASA Astrophysics Data System (ADS)

    Junk, J.; Ulber, B.; Vidal, S.; Eickermann, M.

    2015-11-01

    Agricultural production is directly affected by projected increases in air temperature and changes in precipitation. A multi-model ensemble of regional climate change projections indicated shifts towards higher air temperatures and changing precipitation patterns during the summer and winter seasons up to the year 2100 for the region of Goettingen (Lower Saxony, Germany). A second major controlling factor of the agricultural production is the infestation level by pests. Based on long-term field surveys and meteorological observations, a calibration of an existing model describing the migration of the pest insect Ceutorhynchus napi was possible. To assess the impacts of climate on pests under projected changing environmental conditions, we combined the results of regional climate models with the phenological model to describe the crop invasion of this species. In order to reduce systematic differences between the output of the regional climate models and observational data sets, two different bias correction methods were applied: a linear correction for air temperature and a quantile mapping approach for precipitation. Only the results derived from the bias-corrected output of the regional climate models showed satisfying results. An earlier onset, as well as a prolongation of the possible time window for the immigration of Ceutorhynchus napi, was projected by the majority of the ensemble members.

  8. Assessing the impact of climate variability and change on crop production in the Midwestern USA

    NASA Astrophysics Data System (ADS)

    Wang, R.; Bowling, L. C.; Cherkauer, K. A.

    2013-12-01

    Interannual variability of crop yield in the Midwestern USA is closely related to extremes in spring and summer moisture conditions. For example, extensive summer drought in 2012 caused a 28% reduction in corn yield relative to early season predictions. In contrast, saturated soil conditions in spring 2013 have led to delayed planting and poor stand development. Therefore, when applying physically-based models to predict crop yield, soil moisture dynamics and physiological stresses must be correctly represented, especially under future climate scenarios where spring and summer moisture are projected to increase and decrease, respectively, over much of the Midwest. The overall objective of this research is to explore and improve the ability of an existing ecohydrology model (SWAT 2009) to simulate corn yield with respect to current and future climate and soil moisture variability. The model is first evaluated for four field scale sites in Iowa, Illinois and Ohio. Soil moisture is calibrated based on 5-6 years of layer specific data to ensure a realistic soil water representation either in dry or wet conditions. Then the calibrated model is used to evaluate the effects of climate variability on crop yield between 1991 and 2010. Finally, the model is run with down-scaled and bias-corrected CMIP5 data from three GCMs (CCSM4, GFDL-esm2m, MIROC5) and four emissions scenarios (RC2.6, RCP4.5, RCP6.0 and RCP8.5). Soil moisture, physiological stresses and crop yield predictions for two future periods (2031-2050, 2071-2090) are compared with the baseline period (1991-2010) to quantify climate change impacts on crop yield due to excess/deficit moisture.

  9. Impact of WRF Physics and Grid Resolution on Low-level Wind Prediction: Towards the Assessment of Climate Change Impact on Future Wind Power

    SciTech Connect

    Chin, H S; Glascoe, L; Lundquist, J; Wharton, S

    2010-02-24

    The Weather Research and Forecast (WRF) model is used in short-range simulations to explore the sensitivity of model physics and horizontal grid resolution. We choose five events with the clear-sky conditions to study the impact of different planetary boundary layer (PBL), surface and soil-layer physics on low-level wind forecast for two wind farms; one in California (CA) and the other in Texas (TX). Short-range simulations are validated with field measurements. Results indicate that the forecast error of the CA case decreases with increasing grid resolution due to the improved representation of valley winds. Besides, the model physics configuration has a significant impact on the forecast error at this location. In contrast, the forecast error of the TX case exhibits little dependence on grid resolution and is relatively independent of physics configuration. Therefore, the occurrence frequency of lowest root mean square errors (RMSEs) at this location is used to determine an optimal model configuration for subsequent decade-scale regional climate model (RCM) simulations. In this study, we perform two sets of 20-year RCM simulations using the data from the NCAR Global Climate Model (GCM) simulations; one set models the present climate and the other simulates the future climate. These RCM simulations will be used to assess the impact of climate change on future wind energy.

  10. Towards a climate impact assessment of the Tarim River, NW China: integrated hydrological modelling using SWIM

    NASA Astrophysics Data System (ADS)

    Wortmann, Michel

    2014-05-01

    The Tarim River is the principle water source of the Xinjiang Uyghur Autonomous Region, NW China and the country's largest endorheic river, terminating in the Taklamakan desert. The vast majority of discharge is generated in the glaciated mountain ranges to the north (Tian Shan), south (Kunlun Shan/Tibetan Plateau) and west (Pamir Mountains) of the Taklamakan desert. The main water user is the intensive irrigation agriculture for mostly cotton and fruit production in linear river oases of the middle and lower reaches as well as a population of 10 Mil. people. Over the past 40 years, an increase in river discharge was reported, assumed to be caused by enhanced glacier melt due to a warming climate. Rapid population growth and economic development have led to a significant expansion of area under irrigation, resulting in water shortages for downstream users and the floodplain vegetation. Water resource planning and management of the Tarim require integrated assessment tools to examine changes under future climate change, land use and irrigation scenarios. The development of such tools, however, is challenged by sparse climate and discharge data as well as available data on water abstractions and diversions. The semi-distributed, process-based hydrological model SWIM (Soil and Water Integrated Model) was implemented for the headwater and middle reaches that generate over 90% of discharge, including the Aksu, Hotan and Yarkant rivers. It includes the representation of snow and glacier melt as well as irrigation abstractions. Once calibrated and validated to river discharge, the model is used to analyse future climate scenarios provided by one physically-based and one statistical regional climate model (RCM). Preliminary results of the model calibration and validation indicate that SWIM is able simulate river discharge adequately, despite poor data conditions. Snow and glacier melt account for the largest share in river discharge. The modelling results will devise

  11. Developing a climatological / hydrological baseline for climate change impact assessment in a remote mountain region - an example from Peru

    NASA Astrophysics Data System (ADS)

    Salzmann, N.; Huggel, C.; Calanca, P.; Diaz, A.; Jonas, T.; Konzelmann, T.; Lagos, P.; Rohrer, M.; Silverio, W.; Zappa, M.

    2009-04-01

    Changes in the availability of fresh water caused by climatic changes will become a major issue in the coming years and decades. In this context, regions presently depending on water from retreating mountain glaciers are particularly vulnerable. In many parts of the Andes for example, people already suffer from the impacts of reduced glacier run off. Therefore, the development and implementation of adequate adaptation measures is an urgent need. To better understand the impact of climate change on water resources in the Andean region, a new research program (PACC - Programa de Adaptación al Cambio Climático en el Perú) between Peru and Switzerland has recently been launched by SDC (Swiss Agency for Development and Cooperation). As a first step, a scientific baseline relative to climatology, hydrology, agriculture and natural disasters will be developed on a regional scale for the Departments of Cusco and Apurimac in close cooperation with partners from Universities and governmental institutions as well as NGOs in Peru. A reliable data baseline is a must for the development of adaptation measures that can effectively cope with the risks induced by climate change. The realization of this task in remote mountain regions, where observational data are generally sparse, however, is challenging. Temporal and spatial gaps must be filled using indirect methods such as re-analyses, remote sensing and interpolation techniques. For future scenarios, the use of climate model output along with statistical and dynamical downscaling is indicated. This contribution will present and discuss approaches and possible concepts to tackle the challenges in a Peruvian context. In addition, first experiences will be reported particularly on cross-disciplinary issues that naturally emerge from the integrative perspective needed in climate change impact assessments and the development of adaptation strategies.

  12. Assessing the Impact of Climate Change on the Flood Regime in France

    NASA Astrophysics Data System (ADS)

    Sauquet, E.; Vidal, J.; Perrin, C.; Bourgin, P.; Chauveau, M.; Chazot, S.

    2012-12-01

    Changes in river flows are associated with different types of uncertainties, due to an imperfect knowledge of both future climate and rainfall-runoff processes. Due to computational constraints, impact and adaptation studies unfortunately cannot always afford to perform a detailed analysis of all these uncertainties. In that case, the modelling efforts have to focus on the most relevant source of uncertainty in order to provide the best estimate of the overall uncertainty. As part of the national Explore2070 project, the present study thus aims at assessing the hierarchy of uncertainties in changes on river flow extremes at the scale of France. Amongst all possible sources of uncertainties, two are here considered: (1) the uncertainty in General Circulation Model (GCM) configuration, with 7 different models that adequately sample the range of changes as projected by the GCMs used in the IPCC AR4 over France, and (2) the uncertainty in hydrological model structure, with 2 quite different models: GR4J (Perrin et al., 2003), a lumped conceptual model, and Isba-Modcou (Habets et al., 2008), a suite of a land surface scheme and a distributed hydrogeological model. The hydrological models have been run at more than 1500 locations in France over the 1961-1990 baseline period with forcings from both the Safran near-surface atmospheric reanalysis (Vidal et al., 2010) and the GCM control runs downscaled with a weather type method (Boé et al., 2006), and over the 2046-2065 period with forcings from all downscaled GCM runs under the A1B emissions scenario. Single station flood frequency analyses were performed on 405 locations with observed discharges. Using Hosking and Wallis heterogeneity measures homogeneous regions were defined. Regional flood frequency analysis has been performed. Changes in homogeneity and changes in regional growth curvehave been examined. The analysis has accounted for the performance of the two hydrological models to quantify the confidence in future

  13. Assessment of climate change impacts on streamflow dynamics in the headwaters of the Amazon River basin

    NASA Astrophysics Data System (ADS)

    Yoon, Y.; Beighley, E.

    2015-12-01

    The Amazon River basin is the largest watershed in the world containing thousands of tributaries. Although the mainstream and its larger tributaries have been the focus on much research, there has been few studies focused on the hydrodynamics of smaller rivers in the foothills of the Andes Mountains. These smaller rivers are of particular importance for the fishery industry because fish migrate up these headwater rivers to spawn. During the rainy season, fish wait for storm event to increase water depths to a sufficient level for their passage. Understanding how streamflow dynamics will change in response to future conditions is vital for the sustainable management of the fishery industry. In this paper, we focus on improving the accuracy of river discharge estimates on relatively small-scale sub-catchments (100 ~ 40,000 km2) in the headwaters of the Amazon River basin. The Hillslope River Routing (HRR) hydrologic model and remotely sensed datasets are used. We provide annual runoff, seasonal patterns, and daily discharge characteristics for 81 known migration reaches. The model is calibrated for the period 2000-2014 and climate forecasts for the period 2070-2100 are used to assess future changes in streamflow dynamics. The forecasts for the 2070 to 2100 period were obtained by selecting 5 climate models from IPCC's Fifth Assessment Report (AR5) Coupled Model Intercomparison Project Phase 5 (CMIP5) based on their ability to represent the main aspects of recent (1970 to 2000) Amazon climate. The river network for the HRR model is developing using surface topography based on the SRTM digital elevation model. Key model forcings include precipitation (TRMM 3B42) and evapotranspiration (MODIS ET, MOD16). Model parameters for soil depth, hydraulic conductivity, runoff coefficients and lateral routing were initially approximated based on literature values and adjusted during calibration. Measurements from stream gauges located near the reaches of interest were used for

  14. Assessing the impacts of climate change on agricultural production in the Columbia River basin: incorporating water management

    NASA Astrophysics Data System (ADS)

    Adam, J. C.; Rajagopalan, K.; Stockle, C. O.; Yorgey, G.; Kruger, C. E.; Chinnayakanahalli, K.; Nelson, R.

    2014-12-01

    moving through growth stages earlier in the season with wetter and warmer spring conditions. Incorporating regulations into integrated modeling framework results in a more realistic assessment of climate change impacts.

  15. Wind power: Addressing wildlife impacts, assessing effects on tourism, and examining the link between climate change perceptions and support

    NASA Astrophysics Data System (ADS)

    Lilley, Meredith Blaydes

    As the world's most rapidly growing source of energy, wind power has vast potential for mitigating climate change and advancing global environmental sustainability. Yet, the challenges facing wind energy remain both complex and substantial. Two such challenges are: 1) wildlife impacts; and 2) perceived negative effects on tourism. This dissertation examines these challenges in a multi-paper format, and also investigates the role that climate change perceptions play in garnering public support for wind power. The first paper assesses optimal approaches for addressing wind power's wildlife impacts. Comparative analysis reveals that avian mortality from turbines ranks far behind avian mortality from a number of other anthropogenic sources. Additionally, although bats have recently emerged as more vulnerable to wind turbines than birds, they are generally less federally protected. The Migratory Bird Treaty Act (MBTA) protects over 800 bird species, regardless of their threatened or endangered status. Moreover, it criminalizes the incidental take of birds without a permit and simultaneously grants no permits for such incidental take, thereby creating a legal conundrum for the wind industry. An examination of the legislative and case history of the MBTA, however, reveals that wind operators are not likely to be prosecuted for incidental take if they cooperate with the U.S. Fish & Wildlife Service (FWS) and take reasonable steps to reduce siting and operational impacts. Furthermore, this study's analysis reveals modest wildlife impacts from wind power, in comparison with numerous other energy sources. Scientific-research, legal, and policy recommendations are provided to update the present legal and regulatory regime under the MBTA and to minimize avian and bat impacts. For instance, FWS should: establish comprehensive federal guidelines for wind facility siting, permitting, monitoring, and mitigation; and promulgate regulations under the MBTA for the issuance of

  16. Assessing Public Health Impacts of Heat and Air Quality Under a Changing Climate in the New York City Metropolitan Area

    NASA Astrophysics Data System (ADS)

    Knowlton, K.; Kinney, P. L.; Rosenthal, J. E.; Lynn, B.; Gaffin, S.; Hogrefe, C.; Biswas, J.; Civerolo, K.; Ku, J.; Rosenzweig, C.; Goldberg, R.

    2003-12-01

    New tools are needed for assessing public health impacts of climate change. This paper describes the results of an integrated assessment of the health impacts of global climate change in the New York metropolitan region, projected for the decade of the 2050s. The model systems used for this study are the Goddard Institute for Space Studies (GISS) Global Atmosphere-Ocean Model; the Penn State/NCAR MM5 mesoscale meteorological model; the Sparse Matrix Operator Kernel Emissions Modeling System (SMOKE); and the Community Multiscale Air Quality (CMAQ) model for simulating air quality. Simulations are performed for five summer seasons each during the 1990s and the 2050s, using greenhouse gas emissions projections from the Intergovernmental Panel on Climate Change (IPCC) A2 scenario. The GISS global climate model at 4 x 5 degree horizontal resolution is used as input to the MM5 model run at nested grids down to 36 km resolution. The MM5 at 36 km subsequently serves as input for the CMAQ ozone simulations. A risk assessment modeling framework is used to estimate summer heat- and ozone-related mortality in the region, with a focus on comparing respective estimates for the 1990s versus the 2050s. These endpoints represent two potentially appreciable public health impacts resulting from climate change-induced alterations in regional temperature and air quality profiles. Concentration-response functions from the epidemiological literature describing temperature-mortality and ozone-mortality relationships are applied in the risk assessment, to estimate numbers of regional deaths in a typical 1990s summer and a typical 2050s summer. An evaluation to define ozone-related mortality uses a minimum-value threshold applied across the 1-hour daily maximum ozone model outputs, to identify days that pose an elevated relative risk of ozone mortality. A parallel evaluation of heat-related mortality applies a 23.08° C (73.54° F) threshold value, above which the relative risk of heat

  17. Assessing the impacts of climate change in Mediterranean catchments under conditions of data scarcity

    NASA Astrophysics Data System (ADS)

    Meyer, Swen; Ludwig, Ralf

    2013-04-01

    According to current climate projections, Mediterranean countries are at high risk for an even pronounced susceptibility to changes in the hydrological budget and extremes. While there is scientific consensus that climate induced changes on the hydrology of Mediterranean regions are presently occurring and are projected to amplify in the future, very little knowledge is available about the quantification of these changes, which is hampered by a lack of suitable and cost effective hydrological monitoring and modeling systems. The European FP7-project CLIMB is aiming to analyze climate induced changes on the hydrology of the Mediterranean Basins by investigating 7 test sites located in the countries Italy, France, Turkey, Tunisia, Gaza and Egypt. CLIMB employs a combination of novel geophysical field monitoring concepts, remote sensing techniques and integrated hydrologic modeling to improve process descriptions and understanding and to quantify existing uncertainties in climate change impact analysis. The Rio Mannu Basin, located in Sardinia; Italy, is one test site of the CLIMB project. The catchment has a size of 472.5 km2, it ranges from 62 to 946 meters in elevation, at mean annual temperatures of 16°C and precipitation of about 700 mm, the annual runoff volume is about 200 mm. The physically based Water Simulation Model WaSiM Vers. 2 (Schulla & Jasper (1999)) was setup to model current and projected future hydrological conditions. The availability of measured meteorological and hydrological data is poor as common to many Mediterranean catchments. The lack of available measured input data hampers the calibration of the model setup and the validation of model outputs. State of the art remote sensing techniques and field measuring techniques were applied to improve the quality of hydrological input parameters. In a field campaign about 250 soil samples were collected and lab-analyzed. Different geostatistical regionalization methods were tested to improve the

  18. Assessing Impacts of Human-Induced Climate Change on California's Meteorological Drought

    NASA Astrophysics Data System (ADS)

    Ragno, E.; Aghakouchak, A.

    2015-12-01

    Many studies have shown that the atmosphere has warmed because of human activities including increased anthropogenic CO2 emissions. However, the impacts of anthropogenic CO2 emissions on meteorological droughts and precipitation patterns are not well understood. In this study, we used historical runs of CMIP5 simulations under pre-industrial and industrial forcings. The two forcings represent rainfall, excluding and including anthropogenic CO2 emissions, respectively. The pre-industrial and current climate simulations are analyzed and compared using a series of techniques including entropy and Wavelet transform. The latter, widely used in signal processing, can detect hidden signal frequencies that cannot be retrieved from the original data. This presentation summarizes our findings and offers prospects for future research.

  19. Atmospheric Aerosol Properties and Climate Impacts

    NASA Technical Reports Server (NTRS)

    Chin, Mian; Kahn, Ralph A.; Remer, Lorraine A.; Yu, Hongbin; Rind, David; Feingold, Graham; Quinn, Patricia K.; Schwartz, Stephen E.; Streets, David G.; DeCola, Phillip; Halthore, Rangasayi

    2009-01-01

    This report critically reviews current knowledge about global distributions and properties of atmospheric aerosols, as they relate to aerosol impacts on climate. It assesses possible next steps aimed at substantially reducing uncertainties in aerosol radiative forcing estimates. Current measurement techniques and modeling approaches are summarized, providing context. As a part of the Synthesis and Assessment Product in the Climate Change Science Program, this assessment builds upon recent related assessments, including the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR4, 2007) and other Climate Change Science Program reports. The objectives of this report are (1) to promote a consensus about the knowledge base for climate change decision support, and (2) to provide a synthesis and integration of the current knowledge of the climate-relevant impacts of anthropogenic aerosols for policy makers, policy analysts, and general public, both within and outside the U.S government and worldwide.

  20. Impacts of urbanization on summer climate in China: An assessment with coupled land-atmospheric modeling

    NASA Astrophysics Data System (ADS)

    Cao, Qian; Yu, Deyong; Georgescu, Matei; Wu, Jianguo

    2016-09-01

    China has experienced unprecedented urbanization since the 1980s, resulting in substantial climatic effects from local cities to broad regions. Using the Weather Research and Forecasting model dynamically coupled to an urban canopy model, we quantified the summertime climate effects of urban expansion in China's most rapidly urbanizing regions: Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD). High-resolution landscape data of each urban agglomeration for 1988, 2000, and 2010 were used for simulations. Our results indicated summertime urban warming of 0.85°C for BTH, 0.78°C for YRD, and 0.57°C for PRD, which was substantially greater than previous estimates. Peak summer warming for BTH, YRD, and PRD was 1.5°C, 1°C, and 0.8°C, respectively. In contrast, the loss of moisture was greatest in PRD, with maximum reduction in 2 m water vapor mixing ratio close to 1 g/kg, followed by YRD and BTH with local peak humidity deficits reaching 0.8 g/kg and 0.6 g/kg, respectively. Our results were in better agreement with observations than prior studies because of the usage of high-resolution landscape data and the inclusion of key land-atmospheric interactions. Our study also demonstrated that the warming impacts of polycentric urban forms were less intense but more extensive in space, whereas large concentrated urban aggregations produced much stronger but localized warming effects. These findings provide critical knowledge that improves our understanding of urban-atmospheric interactions, with important implications for urban landscape management and planning to alleviate the negative impacts of urban heat islands.

  1. Evaluation of a weather generator-based method for statistically downscaling non-stationary climate scenarios for impact assessment at a point scale

    Technology Transfer Automated Retrieval System (TEKTRAN)

    The non-stationarity is a major concern for statistically downscaling climate change scenarios for impact assessment. This study is to evaluate whether a statistical downscaling method is fully applicable to generate daily precipitation under non-stationary conditions in a wide range of climatic zo...

  2. Impact of Climate Change on extreme flows across Great Britain: a comparison of extreme value distributions and uncertainty assessment.

    NASA Astrophysics Data System (ADS)

    Collet, Lila; Beevers, Lindsay; Prudhomme, Christel

    2016-04-01

    Floods are the most common and widely distributed natural risk to life and property worldwide, causing over £6B worth of damage to the UK since 2000. Climate projections are predicted to result in the increase of UK properties at risk from flooding. It thus becomes urgent to assess the possible impact of these changes on extreme high flows in particular, and evaluate the uncertainties related to these projections. This paper aims to assess the changes in extreme runoff for the 1:100 year return period event across Great Britain as a result of climate change. It is based on the Future Flow database and analyses daily runoff over 1961-2098 for 281 gauging stations. The Generalized Extreme Value (GEV) and Generalized Pareto (GP) distribution functions are automatically fitted for 11 climate-change ensembles over the baseline (1961-1990) and the 2080s (2069-2098) for each gauging station. The analysis evaluates the uncertainty related to the Extreme Value (EV) distributions, and the uncertainty related to the climate model parameterization. Then it assesses return levels with combined uncertainties across Great Britain for both EV distributions. Ultimately, this work gives a national picture of extreme flows assessed by the two methods and allows a direct comparison between them. Results show that the GP distribution computes higher runoff estimates than the GEV distribution. Generally, the uncertainties associated with both distributions are similar, but the GP computes significantly higher uncertainties for stations in the south and southeast of England. From the baseline to the 2080s horizon, the GEV distribution shows variable runoff trends across Great Britain, while the GP distribution shows an increasing trend of return level estimate and uncertainties, especially in the northeast and southeast of England. The lowest climate model and extreme value uncertainty is generally seen across the west coast of Great Britain. In terms of uncertainty, with the GEV

  3. Integrated Modeling to Assess the Impacts of Changes in Climate and Socio Economics on Agriculture in the Columbia River Basin

    NASA Astrophysics Data System (ADS)

    Rajagopalan, K.; Chinnayakanahalli, K.; Adam, J. C.; Malek, K.; Nelson, R.; Stockle, C.; Brady, M.; Dinesh, S.; Barber, M. E.; Yorgey, G.; Kruger, C.

    2012-12-01

    The objective of this work is to assess the impacts of climate change and socio economics on agriculture in the Columbia River basin (CRB) in the Pacific Northwest region of the U.S. and a portion of Southwestern Canada. The water resources of the CRB are managed to satisfy multiple objectives including agricultural withdrawal, which is the largest consumptive user of CRB water with 14,000 square kilometers of irrigated area. Agriculture is an important component of the region's economy, with an annual value over 5 billion in Washington State alone. Therefore, the region is relevant for applying a modeling framework that can aid agriculture decision making in the context of a changing climate. To do this, we created an integrated biophysical and socio-economic regional modeling framework that includes human and natural systems. The modeling framework captures the interactions between climate, hydrology, crop growth dynamics, water management and socio economics. The biophysical framework includes a coupled macro-scale physically-based hydrology model (the Variable Infiltration Capacity, VIC model), and crop growth model (CropSyst), as well as a reservoir operations simulation model. Water rights data and instream flow target requirements are also incorporated in the model to simulate the process of curtailment during water shortage. The economics model informs the biophysical model of the short term agricultural producer response to water shortage as well as the long term agricultural producer response to domestic growth and international trade in terms of an altered cropping pattern. The modeling framework was applied over the CRB for the historical period 1976-2006 and compared to a future 30-year period centered on the 2030s. Impacts of climate change on irrigation water availability, crop irrigation demand, frequency of curtailment, and crop yields are quantified and presented. Sensitivity associated with estimates of water availability, irrigation demand, crop

  4. Economic Impacts from the Boulder County, Colorado, ClimateSmart Loan Program: Using Property-Assessed Clean Energy Financing

    SciTech Connect

    Goldberg, M.; Cliburn, J. K.; Coughlin, J.

    2011-04-01

    This report examines the economic impacts (including job creation) from the Boulder County, Colorado, ClimateSmart Loan Program (CSLP), an example of Property-Assessed Clean Energy (PACE) financing. The CSLP was the first test of PACE financing on a multi-jurisdictional level (involving individual cities as well as the county government). It was also the first PACE program to comprehensively address energy efficiency measures and renewable energy, and it was the first funded by a public offering of both taxable and tax-exempt bonds.

  5. Advancing the climate data driven crop-modeling studies in the dry areas of Northern Syria and Lebanon: an important first step for assessing impact of future climate.

    PubMed

    Dixit, Prakash N; Telleria, Roberto

    2015-04-01

    Inter-annual and seasonal variability in climatic parameters, most importantly rainfall, have potential to cause climate-induced risk in long-term crop production. Short-term field studies do not capture the full nature of such risk and the extent to which modifications to crop, soil and water management recommendations may be made to mitigate the extent of such risk. Crop modeling studies driven by long-term daily weather data can predict the impact of climate-induced risk on crop growth and yield however, the availability of long-term daily weather data can present serious constraints to the use of crop models. To tackle this constraint, two weather generators namely, LARS-WG and MarkSim, were evaluated in order to assess their capabilities of reproducing frequency distributions, means, variances, dry spell and wet chains of observed daily precipitation, maximum and minimum temperature, and solar radiation for the eight locations across cropping areas of Northern Syria and Lebanon. Further, the application of generated long-term daily weather data, with both weather generators, in simulating barley growth and yield was also evaluated. We found that overall LARS-WG performed better than MarkSim in generating daily weather parameters and in 50 years continuous simulation of barley growth and yield. Our findings suggest that LARS-WG does not necessarily require long-term e.g., >30 years observed weather data for calibration as generated results proved to be satisfactory with >10 years of observed data except in area with higher altitude. Evaluating these weather generators and the ability of generated weather data to perform long-term simulation of crop growth and yield is an important first step to assess the impact of future climate on yields, and to identify promising technologies to make agricultural systems more resilient in the given region.

  6. Assessing Climate Change Impacts on Water Allocation in Karkheh River Basin

    NASA Astrophysics Data System (ADS)

    Davtalabsabet, R.; Madani, K.; Massah, A.; Farajzadeh, M.

    2013-12-01

    Rahman Davtalab1, 2, Kaveh Madani2, Alireza Massah3, Manouchehr Farajzadeh1 1Department of Geography, Tarbiat Modares University, Tehran, Iran 2Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA 3Department of Irrigation and Drainage Engineering, College of Abureyhan , University of Tehran, Iran Abstract Karkheh river basin, with an area of 50,000 km2 is located, in southwest Iran. This basin supplies water for major agricultural activities and large hydropower production in five Iranian provinces with the total population of four million people. Due to development and population growth, this large trans-boundary basin is incapable of meeting the water demands of the five riparian provinces, causing water allocation conflicts in the region. The situation has been exacerbated by the frequent droughts and is expected to worsen further by climate change. This study evaluates the impacts of climate change on water supply reliability and allocation in this basin. First, outputs of several General Circulation Models (GCMs) under different emission scenarios for different future time horizons are statistically downscaled. Then multiple river flow time series (RFTS) are generated by feeding GCM outputs into a HEC-HMS model, using the Soil Moisture Accounting (SMA). Given a wide range of variations in GCM outputs and the resulting RFTS, the Ward's method is used to identity different RFTS clusters. Clustering helps with increasing the ability of the modeler to test a range of possible future conditions while reducing the redundancies in input data. Karkheh river basin's ability to meet the growing demand under decreasing flows is evaluated for each RFTS cluster representative. Results indicate that Karkheh river flow might decrease by 50% toward the end of the century. This would decrease the reliability of agricultural water deliveries from 78-95% to less than 50%. While currently hydropower dams can only

  7. Assessing impact of climate and land use change on water quality in two contrasting meso-scale catchments in Poland

    NASA Astrophysics Data System (ADS)

    Marcinkowski, Pawel; Kardel, Ignacy; Ksiezniak, Marta; Berezowski, Tomasz; Okruszko, Tomasz; Mezghani, Abdelkader; Dobler, Andreas; Piniewski, Mikolaj

    2016-04-01

    The Upper Narew (4280 km2) and the Barycz (5520 km2) are two Polish, meso-scale, lowland catchments, contrasting in terms of land use, water management and water quality. Semi-distributed process-based SWAT model was applied in both catchments for assessment of climate change impact on selected water quality parameters. The model setup was developed based on high-resolution inputs, e.g. 5 km gridded precipitation and temperature dataset and 30 m Landsat8-based land cover map. Multi-site calibration and validation against observed discharge, sediment loads and nutrients loads (nitrogen and phosphorus compounds) gave predominantly satisfactory goodness-of-fit measures which enabled further model use for scenario analysis. Impact of land use on water quality can be assessed by comparing nutrients loads and concentrations simulated for the current conditions between two contrasting catchments. Both specific loads and concentrations of major nitrogen and phosphorous forms were on average 80-100% higher in the Barycz than in the Upper Narew catchment. This is a result of more intensive agricultural practices taking place in the Barycz, unlike the Upper Narew where agriculture is mostly extensive. Large parts of the Barycz catchment have been designed as the Nitrates Vulnerable Zones and since 2007 there are legal restrictions concerning agricultural practices in these areas. Nine GCM-RCM runs projected to the year 2100 for RCP 4.5 and 8.5 provided within the EURO-CORDEX experiment were first bias-corrected using quantile mapping method and then used as an ensemble of climate change scenarios in SWAT. Precipitation projections were largely consistent in showing an increasing precipitation trend, present particularly in winter and spring, in both catchments. This clearly affected the hydrological and biogeochemical cycle and resulted in higher projected water yield, increased erosion, and elevated nitrogen and phosphorus emission to water bodies. The rate of change caused

  8. How the biodiversity sciences may aid biological tools and ecological engineering to assess the impact of climatic changes.

    PubMed

    Morand, S; Guégan, J-F

    2008-08-01

    This paper addresses how climate changes interact with other global changes caused by humans (habitat fragmentation, changes in land use, bioinvasions) to affect biodiversity. Changes in biodiversity at all levels (genetic, population and community) affect the functioning of ecosystems, in particular host-pathogen interactions, with major consequences in health ecology (emergence and re-emergence; the evolution of virulence and resistance). In this paper, the authors demonstrate that the biodiversity sciences, epidemiological theory and evolutionary ecology are indispensable in assessing the impact of climate changes, and also for modelling the evolution of host-pathogen interactions in a changing environment. The next step is to apply health ecology to the science of ecological engineering.

  9. AN IMPACT ASSESSMENT OF CLIMATE CHANGE ON GLOBAL WATER RESOURCES BY USING A WATER SCARCITY INDEX CONSIDERING SEASONAL WATER VARIABILITY

    NASA Astrophysics Data System (ADS)

    Yamamoto, Takahiro; Hanasaki, Naota; Takahashi, Kiyoshi; Hijioka, Yasuaki

    Several reports have assessed water scarcity globally using a widely accepted index on an annual basis, namely, withdrawal-to-water resources ratio (WWR). Here, we ask whether it is appropriate to use the WWR to assess the impact of climate change. Global warming is projected to increase the temporal and spatial variability of precipitation, decrease snowfall, and change the timing of snowmelt. To assess the impact of climate change on global water resources incorporating sub-annual time-scale phenomena, this study applies a new water scarcity index on a daily basis termed the cumulative withdrawal-to-demand ratio (CWD) . Our results indicated that global warming increased the mean annual runoff in 61% of the total land area globally. However, in 22% of the area where runoff increased, the CWD showed increased water stress. Those regions included India, northern China, and Europe. For India, the increase in water stress was attributed to the seasonal gap between runoff and water demand. The increased runoff was concentrated in a few months, while the high irrigation water demand months differed and were much longer. For Europe, the change was attributed to the shift in the timing of snowmelt, which occurred a few months earlier than at present, causing water shortages in early summer.

  10. Assessment of climate impacts on the karst-related carbon sink in SW China using MPD and GIS

    NASA Astrophysics Data System (ADS)

    Zeng, Sibo; Jiang, Yongjun; Liu, Zaihua

    2016-09-01

    Riverine carbon fluxes of some catchments in the world have significantly changed due to contemporary climate change and human activities. As a large region with an extensive karstic area of nearly 7.5 × 105 km2, Southwest (SW) China has experienced dramatic climate changes during recent decades. Although some studies have investigated the karst-related carbon sink in some parts of this region, the importance of climate impacts have not been assessed. This research examined the impacts of recent climate change on the karst-related carbon sink in the SW China for the period 1970-2013, using a modified maximal potential dissolution (MPD) method and GIS. We first analyzed the major determinants of carbonate dissolution at a spatial scale, calculated the total karst-related carbon sink (TCS) and carbon sink fluxes (CSFs) in the SW China karst region with different types of carbonate rocks, and then compared with other methods, and analyzed the causes of CSFs variations under the changed climate conditions. The results show that the TCS in SW China experienced a dramatic change with regional climate, and there was a trend with TCS decreasing by about 19% from 1970s to 2010s. This decrease occurred mostly in Guizhou and Yunnan provinces, which experienced larger decreases in runoff depth in the past 40 years (190 mm and 90 mm, respectively) due to increased air temperature (0.33 °C and 1.04 °C, respectively) and decreased precipitation (156 mm and 106 mm, respectively). The mean value of CSFs in SW China, calculated by the modified MPD method, was approximately 9.36 t C km- 2 a- 1. In addition, there were large differences in CSFs among the provinces, attributed to differences in regional climate and to carbonate lithologies. These spatiotemporal changes depended mainly on hydrological variations (i.e., discharge or runoff depth). This work, thus, suggests that the karst-related carbon sink could respond to future climate change quickly, and needs to be considered in

  11. Hydrological and water quality impact assessment of a Mediterranean limno-reservoir under climate change and land use management scenarios

    NASA Astrophysics Data System (ADS)

    Molina-Navarro, Eugenio; Trolle, Dennis; Martínez-Pérez, Silvia; Sastre-Merlín, Antonio; Jeppesen, Erik

    2014-02-01

    Water scarcity and water pollution constitute a big challenge for water managers in the Mediterranean region today and will exacerbate in a projected future warmer world, making a holistic approach for water resources management at the catchment scale essential. We expanded the Soil and Water Assessment Tool (SWAT) model developed for a small Mediterranean catchment to quantify the potential effects of various climate and land use change scenarios on catchment hydrology as well as the trophic state of a new kind of waterbody, a limno-reservoir (Pareja Limno-reservoir), created for environmental and recreational purposes. We also checked for the possible synergistic effects of changes in climate and land use on water flow and nutrient exports from the catchment. Simulations showed a noticeable impact of climate change in the river flow regime and consequently the water level of the limno-reservoir, especially during summer, complicating the fulfillment of its purposes. Most of the scenarios also predicted a deterioration of trophic conditions in the limno-reservoir. Fertilization and soil erosion were the main factors affecting nitrate and total phosphorus concentrations. Combined climate and land use change scenarios showed noticeable synergistic effects on nutrients exports, relative to running the scenarios individually. While the impact of fertilization on nitrate export is projected to be reduced with warming in most cases, an additional 13% increase in the total phosphorus export is expected in the worst-case combined scenario compared to the sum of individual scenarios. Our model framework may help water managers to assess and manage how these multiple environmental stressors interact and ultimately affect aquatic ecosystems.

  12. Climate Assessment for 2002

    NASA Astrophysics Data System (ADS)

    Waple, A. M.; Lawrimore, J. H.

    2003-04-01

    It is the thirteenth year that the Climate Assessment has been written to summarize the state of the earth's climate, and the third year that the National Climatic Data Center has taken the lead in its production. It is a cooperative effort that includes contributions from scientists around the country and the world. Neutral ENSO conditions at the beginning of 2002 gave way to a strengthening El Niño episode during late boreal summer and continuing into early winter. Weather patterns across the world began to reflect the positive ENSO conditions during the boreal autumn. Global temperatures in 2002 were 0.56°C above the long-term (1880-2001) average, which places 2002 as the second warmest year on record. Land temperatures were 0.89°C above average and ocean temperatures were 0.42°C above the 1880-2001 mean. This ranks both land and ocean as second warmest on record. The Northern Hemisphere temperature continues to average near record levels in 2002 at 0.63°C above the long-term average. The Southern Hemisphere also reflects the globally warmer conditions, with a positive anomaly of 0.47°C. Annual anomalies in excess of 1.0°C were widespread across much of Russia, Eastern Europe, Alaska, and central South America, while significantly cooler than average conditions were confined to the eastern half of Canada, southern South America and the eastern Pacific Ocean, near the coast of the United States. Although 12 tropical storms developed in the Atlantic during the boreal summer of 2002, most of them were weak and short-lived leading to a slightly below normal season in terms of overall activity, which is consistent with the developing El Nino. However, seven tropical storms made landfall on the coast of the United States, with an eighth brushing the coast of North Carolina. Hurricane Lili was the first hurricane to impact the U.S. directly in three years. Other notable aspects of the climate in 2002 include extreme drought in parts of the U.S., Canada and

  13. Harnessing Historical Climate Variability to Assess Multivariate Climate Changes

    NASA Astrophysics Data System (ADS)

    Mahony, C. R.; Cannon, A. J.; Aitken, S. N.

    2015-12-01

    Climate is intrinsically multivariate—the collective influence of various aspects of weather at different times of year. A central challenge of climate change impact analysis is therefore to characterize changes in multiple temperature and precipitation variables simultaneously. Historical climate variability provides key context for relating climate variables to each other and assessing collective deviations from historical climate conditions. We have developed a Mahalanobian probability metric to describe spatial and temporal climatic dissimilarity in terms of local interannual climatic variability. Our approach is particularly suited to evaluation of climate analogs in space and time, but also facilitates multivariate extensions to several prominent indices of climate change. We use this metric to detect the departure of multivariate climate conditions from the historical range of local variability across North America and to identify regions that are particularly susceptible to emergence of no-analog climates. With respect to interpreting climate extremes, some critical considerations emerge from this research. In particular, we highlight the potential for temporal aggregation to exaggerate the statistical significance of extreme conditions, and the dilemma of identifying an appropriate statistical distribution for precipitation across both space and time. Despite the challenges of interpreting the specific impacts associated with multivariate climate changes and extremes, expressing these conditions relative to historical climate variability provides a useful first approximation of their ecological and socioeconomic significance. Figure Caption: Demonstration of the use of the chi distribution to measure spatial climatic dissimilarity in terms of local interannual climatic variability.

  14. Bias correction method for climate change impact assessment at a basin scale

    NASA Astrophysics Data System (ADS)

    Nyunt, C.; Jaranilla-sanchez, P. A.; Yamamoto, A.; Nemoto, T.; Kitsuregawa, M.; Koike, T.

    2012-12-01

    Climate change impact studies are mainly based on the general circulation models GCM and these studies play an important role to define suitable adaptation strategies for resilient environment in a basin scale management. For this purpose, this study summarized how to select appropriate GCM to decrease the certain uncertainty amount in analysis. This was applied to the Pampanga, Angat and Kaliwa rivers in Luzon Island, the main island of Philippine and these three river basins play important roles in irrigation water supply, municipal water source for Metro Manila. According to the GCM scores of both seasonal evolution of Asia summer monsoon and spatial correlation and root mean squared error of atmospheric variables over the region, finally six GCM is chosen. Next, we develop a complete, efficient and comprehensive statistical bias correction scheme covering extremes events, normal rainfall and frequency of dry period. Due to the coarse resolution and parameterization scheme of GCM, extreme rainfall underestimation, too many rain days with low intensity and poor representation of local seasonality have been known as bias of GCM. Extreme rainfall has unusual characteristics and it should be focused specifically. Estimated maximum extreme rainfall is crucial for planning and design of infrastructures in river basin. Developing countries have limited technical, financial and management resources for implementing adaptation measures and they need detailed information of drought and flood for near future. Traditionally, the analysis of extreme has been examined using annual maximum series (AMS) adjusted to a Gumbel or Lognormal distribution. The drawback is the loss of the second, third etc, largest rainfall. Another approach is partial duration series (PDS) constructed using the values above a selected threshold and permit more than one event per year. The generalized Pareto distribution (GPD) has been used to model PDS and it is the series of excess over a threshold

  15. Improved hydrological model parametrization for climate change impact assessment under data scarcity - The potential of field monitoring techniques and geostatistics.

    PubMed

    Meyer, Swen; Blaschek, Michael; Duttmann, Rainer; Ludwig, Ralf

    2016-02-01

    According to current climate projections, Mediterranean countries are at high risk for an even pronounced susceptibility to changes in the hydrological budget and extremes. These changes are expected to have severe direct impacts on the management of water resources, agricultural productivity and drinking water supply. Current projections of future hydrological change, based on regional climate model results and subsequent hydrological modeling schemes, are very uncertain and poorly validated. The Rio Mannu di San Sperate Basin, located in Sardinia, Italy, is one test site of the CLIMB project. The Water Simulation Model (WaSiM) was set up to model current and future hydrological conditions. The availability of measured meteorological and hydrological data is poor as it is common for many Mediterranean catchments. In this study we conducted a soil sampling campaign in the Rio Mannu catchment. We tested different deterministic and hybrid geostatistical interpolation methods on soil textures and tested the performance of the applied models. We calculated a new soil texture map based on the best prediction method. The soil model in WaSiM was set up with the improved new soil information. The simulation results were compared to standard soil parametrization. WaSiMs was validated with spatial evapotranspiration rates using the triangle method (Jiang and Islam, 1999). WaSiM was driven with the meteorological forcing taken from 4 different ENSEMBLES climate projections for a reference (1971-2000) and a future (2041-2070) times series. The climate change impact was assessed based on differences between reference and future time series. The simulated results show a reduction of all hydrological quantities in the future in the spring season. Furthermore simulation results reveal an earlier onset of dry conditions in the catchment. We show that a solid soil model setup based on short-term field measurements can improve long-term modeling results, which is especially important

  16. Assessing the Impact of Population Growth, Climate Change, and Land Use Change on Water Resources in India

    NASA Astrophysics Data System (ADS)

    Singh, N.; Cherkauer, K. A.

    2014-12-01

    India is poised to become the most populous country in the world by 2019 and reach a population of over 2 billion by 2050 based on current growth rates. It is also a region which will be under severe socio-economic and environmental stress if mitigation efforts are not adapted. In the past 10 years the population of India has grown by an average rate of 17 million people per year. In addition to unprecedented population growth, rapid urbanization and industrialization are straining the overburdened environmental system. This rapid growth in population, urbanization and industrialized will result in increased demand for food, requiring expansion of agricultural resources. Since total agricultural land in India has been relatively constant over the past 10 years the demand for additional food has to be partly met by enhanced production on existing land. Arable land in India has declined by around 3% according to FAOSTAT while the total agricultural area under irrigation has increased by about 9% thus further straining its water resources. In addition projections for future climate indicate that India is one of the regions where water resources are expected to be negatively impacted. Total agriculture water withdrawal in India increased by approximately 18 % from 2000-2010 while the total per capita water withdrawal increased by over 9% from 2000-2010. Total freshwater withdrawal as percentage of renewable water resources was around 40% in 2010. In addition, recent mandates of biofuel policies in India are also expected to impact its water resources. The combined impact of these various factors on future water availability in India could be one of the most severe globally due its unprecedented increase in population, food production and industrialization. In this study we assess the impact of land use and climate change on water resources over southern India in the face of a growing population and interest in development of national biofuel supplies. We use

  17. Occupational health impacts of climate change: current and future ISO standards for the assessment of heat stress.

    PubMed

    Parsons, Ken

    2013-01-01

    The current system of International Standards (ISO) is assessed to consider whether standards are fit for purpose for the future in the context of climate change. ISO 7243, ISO 7933 and ISO 9886 provide the current ISO system for the assessment of heat stress. These involve a simple monitoring index, an analytical approach and physiological monitoring, respectively. The system relies on accurate measurement of the thermal conditions experienced by the worker (ISO 7726); and estimations of metabolic heat production due to work (ISO 8996) and the thermal properties of clothing (ISO 9920). As well as standards for heat stress assessment, the full range of ISO standards and the physical environment is listed as well as current work and proposed standards. A particular 'gap' in anticipating requirements for ISO standards in the future is the link between meteorological data and ISO standards. This is important for predicting the global consequences of a changing climate and anticipating potential impacts on occupational health across countries and cultures.

  18. Quantitative and qualitative assessment of the impact of climate change on a combined sewer overflow and its receiving water body.

    PubMed

    Bi, Eustache Gooré; Monette, Frédéric; Gachon, Philippe; Gaspéri, Johnny; Perrodin, Yves

    2015-08-01

    Projections from the Canadian Regional Climate Model (CRCM) for the southern part of the province of Québec, Canada, suggest an increase in extreme precipitation events for the 2050 horizon (2041-2070). The main goal of this study consisted in a quantitative and qualitative assessment of the impact of the 20 % increase in rainfall intensity that led, in the summer of 2013, to overflows in the "Rolland-Therrien" combined sewer system in the city of Longueuil, Canada. The PCSWMM 2013 model was used to assess the sensitivity of this overflow under current (2013) and future (2050) climate conditions. The simulated quantitative variables (peak flow, Q(CSO), and volume discharged, VD) served as the basis for deriving ecotoxicological risk indices and event fluxes (EFs) transported to the St. Lawrence (SL) River. Results highlighted 15 to 500% increases in VD and 13 to 148% increases in Q(CSO) by 2050 (compared to 2013), based on eight rainfall events measured from May to October. These results show that (i) the relationships between precipitation and combined sewer overflow variables are not linear and (ii) the design criteria for current hydraulic infrastructure must be revised to account for the impact of climate change (CC) arising from changes in precipitation regimes. EFs discharged into the SL River will be 2.24 times larger in the future than they are now (2013) due to large VDs resulting from CC. This will, in turn, lead to excessive inputs of total suspended solids (TSSs) and tracers for numerous urban pollutants (organic matter and nutrients, metals) into the receiving water body. Ecotoxicological risk indices will increase by more than 100% by 2050 compared to 2013. Given that substantial VDs are at play, and although CC scenarios have many sources of uncertainty, strategies to adapt this drainage network to the effects of CC will have to be developed.

  19. Using and Applying Focus Groups in Climate Change Impact Assessment Projects

    NASA Astrophysics Data System (ADS)

    DeLorme, D.; Hagen, S.

    2011-12-01

    The focus group social science research method is an efficient and flexible data collection tool with broad applicability across disciplines and contexts. Through group dynamics, this interviewing approach offers strengths in gathering candid, spontaneous comments and detailed firsthand descriptions from stakeholders' perspectives. The method, which can stand alone or be integrated with other research frameworks, has much potential for helping to manage complex issues of global change. For optimal outcomes, however, careful planning and procedures are paramount. This presentation offers guidance in this regard via examples, tips, and lessons learned from a multidisciplinary NOAA-funded project: Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM). Focus groups are a key component of the EESLR-NGOM project as they are being used to better understand coastal resource managers' operational and information behaviors and needs regarding sea level rise (SLR), erosion, and hurricane storm surge impact; to learn how to best develop and translate the project's expected scientific results into straightforward, useful, and readily-disseminated products; and to gather outreach recommendations. As part of an EESLR-NGOM project kickoff workshop, 12 coastal resource managers participated voluntarily in a focus group. A summary of findings and illustrative participant quotations will be included in the presentation. The initial focus group was productive in gaining insights into challenges and opportunities associated with a climate change project such as the EESLR-NGOM. It highlighted the importance of considering the interrelationships of natural and built environments and new avenues for resilience and sustainability. The coastal resource managers are not only end-users but also opinion leaders in their local communities who will diffuse this information widely through their networks of other potential end-users. Engaging coastal resource managers in

  20. The role of model selection in representing evapotranspiration processes in climate impact assessments

    NASA Astrophysics Data System (ADS)

    Guo, Danlu; Westra, Seth; Maier, Holger R.

    2015-04-01

    Projected changes to near-surface atmospheric temperature, wind, humidity and solar radiation are expected to lead to changes in evaporative demand - and thus changes to the catchment water balance - in many catchments worldwide. To quantify likely implications on runoff, a modelling chain is commonly used in which the meteorological variables are first converted to potential evapotranspiration (PET), followed by the conversion of PET to runoff using one or more rainfall-runoff models. The role of the PET model and rainfall-runoff model selection on changes to the catchment water balance is assessed using a sensitivity analysis applied to data from five climatologically different catchments in Australia. Changes to temperature have the strongest influence on both evapotranspiration and runoff for all models and catchments, whereas the relative role of the remaining variables depends on both the catchment location and the PET and rainfall-runoff model choice. Importantly, sensitivity experiments show that 1) distributions of climate variables differ for dry/wet conditions; 2) seasonal distribution of changes to PET differs for driving variables. These findings suggest possible interactions between PET model selection and the way that evapotranspiration processes are represented within rainfall-runoff model. For a constant percentage change to PET, this effect can lead to five-fold difference in runoff changes depending on which meteorological variable is being perturbed.

  1. Assessing air quality and climate impacts of future ground freight choice in United States

    NASA Astrophysics Data System (ADS)

    Liu, L.; Bond, T. C.; Smith, S.; Lee, B.; Ouyang, Y.; Hwang, T.; Barkan, C.; Lee, S.; Daenzer, K.

    2013-12-01

    The demand for freight transportation has continued to increase due to the growth of domestic and international trade. Emissions from ground freight (truck and railways) account for around 7% of the greenhouse gas emissions, 4% of the primary particulate matter emission and 25% of the NOx emissions in the U.S. Freight railways are generally more fuel efficient than trucks and cause less congestion. Freight demand and emissions are affected by many factors, including economic activity, the spatial distribution of demand, freight modal choice and routing decision, and the technology used in each modal type. This work links these four critical aspects of freight emission system to project the spatial distribution of emissions and pollutant concentration from ground freight transport in the U.S. between 2010 and 2050. Macroeconomic scenarios are used to forecast economic activities. Future spatial structure of employment and commodity demand in major metropolitan areas are estimated using spatial models and a shift-share model, respectively. Freight flow concentration and congestion patterns in inter-regional transportation networks are predicted from a four-step freight demand forecasting model. An asymptotic vehicle routing model is also developed to estimate delivery ton-miles for intra-regional freight shipment in metropolitan areas. Projected freight activities are then converted into impacts on air quality and climate. CO2 emissions are determined using a simple model of freight activity and fuel efficiency, and compared with the projected CO2 emissions from the Second Generation Model. Emissions of air pollutants including PM, NOx and CO are calculated with a vehicle fleet model SPEW-Trend, which incorporates the dynamic change of technologies. Emissions are projected under three economic scenarios to represent different plausible futures. Pollutant concentrations are then estimated using tagged chemical tracers in an atmospheric model with the emissions serving

  2. Assessing Possible Climatic Impacts of Large Wind Farms Using Satellite Data

    NASA Astrophysics Data System (ADS)

    Zhou, Liming; Tian, Yuhong; Baidya Roy, Somnath

    2013-04-01

    This is an invited talk. A growing number of numerical simulations with hypothetical wind farms generally agree that large wind farms might affect local to regional weather and climate. Here we present observational evidence for such impacts based on analyses of satellite derived land surface temperature (LST) data at ~1.1 km for the period of 2003-2011 over a region in West-Central Texas, where four of the world's largest wind farms are located. A warming effect is observed at nighttime over wind farms relative to nearby non-wind-farm regions while the effect at daytime is small. Its spatial pattern couples very well with wind turbines geographically, particularly at nighttime in summer, and its magnitude exhibits a persistent upward trend, corresponding to the increase of operating wind turbines with time. There are no evident changes in land surface properties over the wind farm region. No warming effects are seen for a nearby non-wind-farm region with similar topography, particularly over high elevation ridges where the wind turbines are mostly built. Together, these results suggest that the warming effect observed in MODIS over wind farms are very likely attributable to the development of wind farms. This inference is also consistent with the diurnal and seasonal variations in the frequency of wind speed and direction distribution and the changes in near-surface atmospheric boundary layer (ABL) conditions due to wind farm operations. The nocturnal ABL is typically stable and much thinner than the daytime ABL and hence the turbine enhanced vertical mixing produces a stronger nighttime effect. The stronger wind speed and the higher frequency of the wind speed within the optimal power generation range in summer than winter and at nighttime than daytime likely drives wind turbines to generate more electricity and turbulence and consequently results in the strongest warming effect at nighttime in summer. Overall, the warming effect reported here is local and small

  3. A Screening Assessment of the Potential Impacts of Climate Change on Combined Sewer Overflow (CSO) Mitigation in the Great Lakes and New England Regions (Final Report)

    EPA Science Inventory

    EPA announced the availability of the report, A Screening Assessment of the Potential Impacts of Climate Change on Combined Sewer Overflow (CSO) Mitigation in the Great Lakes and New England Regions. This report is a screening-level assessment of the potential implications...

  4. Assessing potential impacts of climate change on hydropower generation of three reservoirs in the Tagus River Basin under ensemble of climate projections

    NASA Astrophysics Data System (ADS)

    Lobanova, Anastasia; Koch, Hagen; Hattermann, Fred F.; Krysanova, Valentina

    2015-04-01

    The Tagus River basin is an important strategic water and energy source for Portugal and Spain. With an extensive network of 40 reservoirs with more than 15 hm3 capacity and numerous abstraction channels it is ensuring water supply for domestic and industrial usage, irrigation and hydropower production in Spain and Portugal. Growing electricity and water supply demands, over-regulation and construction of new dams, and large inter-basin water transfers aggravated by strong natural variability of climate and aridity of the catchment have already imposed significant pressures on the river. The substantial reduction of discharge, dropping during some months to zero in some parts of the catchment, is observed already now, and projected climatic change is expected to alter the water budget of the catchment further. As the water inflow is a fundamental defining factor in a reservoir operation and hydropower production, the latter are highly sensitive to shifts in water balance of the catchment, and hence to changes in climate. In this study we aim to investigate the effects of projected climate change on water inflows and hydropower generation of the three large reservoirs in the Tagus River Basin, and by that to assess their ability to cover electricity power demands and provide water supply under changed conditions, assuming present management strategies; hydropower and abstraction demands. The catchment scale, process-based eco-hydrological model SWIM was set up, calibrated and validated up to the Santarem gauge at the Tagus outlet, with the implementation of a reservoir module. The reservoir module is able to represent three reservoir operation management options, simulate water abstraction and provide rates of generated hydropower. In total, fifteen largest reservoirs in the Tagus River Basin were included in the model, calibrated and validated against observed inflow, stored water and outflow water volumes. The future climate projections were selected from the

  5. Strengthening the link between climate, hydrological and species distribution modeling to assess the impacts of climate change on freshwater biodiversity.

    PubMed

    Tisseuil, C; Vrac, M; Grenouillet, G; Wade, A J; Gevrey, M; Oberdorff, T; Grodwohl, J-B; Lek, S

    2012-05-01

    To understand the resilience of aquatic ecosystems to environmental change, it is important to determine how multiple, related environmental factors, such as near-surface air temperature and river flow, will change during the next century. This study develops a novel methodology that combines statistical downscaling and fish species distribution modeling, to enhance the understanding of how global climate changes (modeled by global climate models at coarse-resolution) may affect local riverine fish diversity. The novelty of this work is the downscaling framework developed to provide suitable future projections of fish habitat descriptors, focusing particularly on the hydrology which has been rarely considered in previous studies. The proposed modeling framework was developed and tested in a major European system, the Adour-Garonne river basin (SW France, 116,000 km(2)), which covers distinct hydrological and thermal regions from the Pyrenees to the Atlantic coast. The simulations suggest that, by 2100, the mean annual stream flow is projected to decrease by approximately 15% and temperature to increase by approximately 1.2 °C, on average. As consequence, the majority of cool- and warm-water fish species is projected to expand their geographical range within the basin while the few cold-water species will experience a reduction in their distribution. The limitations and potential benefits of the proposed modeling approach are discussed.

  6. Infrastructure improvements for snowmelt runoff assessments of climate change impacts on water supplies in the Rio Grande basin

    Technology Transfer Automated Retrieval System (TEKTRAN)

    It has become apparent that the effects of climate change will be especially important for Southwestern US water users. The NSF-funded EPSCoR project “Climate Change Impacts on New Mexico’s Mountain Sources of Water” focuses on improving hydrometeorological measurements, developing basin-wide and s...

  7. A Framework to Assess the Impacts of Climate Change on Stream Health Indicators in Michigan Watersheds

    EPA Science Inventory

    Climate change is projected to alter watershed hydrology and potentially amplify nonpoint source pollution transport. These changes have implications for fish and macroinvertebrates, which are often used as measures of aquatic ecosystem health. By quantifying the risk of adverse ...

  8. Improving assessment and modelling of climate change impacts on global terrestrial biodiversity.

    PubMed

    McMahon, Sean M; Harrison, Sandy P; Armbruster, W Scott; Bartlein, Patrick J; Beale, Colin M; Edwards, Mary E; Kattge, Jens; Midgley, Guy; Morin, Xavier; Prentice, I Colin

    2011-05-01

    Understanding how species and ecosystems respond to climate change has become a major focus of ecology and conservation biology. Modelling approaches provide important tools for making future projections, but current models of the climate-biosphere interface remain overly simplistic, undermining the credibility of projections. We identify five ways in which substantial advances could be made in the next few years: (i) improving the accessibility and efficiency of biodiversity monitoring data, (ii) quantifying the main determinants of the sensitivity of species to climate change, (iii) incorporating community dynamics into projections of biodiversity responses, (iv) accounting for the influence of evolutionary processes on the response of species to climate change, and (v) improving the biophysical rule sets that define functional groupings of species in global models.

  9. Assessing the Impacts of Local Knowledge and Technology on Climate Change Vulnerability in Remote Communities

    PubMed Central

    Bone, Christopher; Alessa, Lilian; Altaweel, Mark; Kliskey, Andrew; Lammers, Richard

    2011-01-01

    The introduction of new technologies into small remote communities can alter how individuals acquire knowledge about their surrounding environment. This is especially true when technologies that satisfy basic needs, such as freshwater use, create a distance (i.e., diminishing exposure) between individuals and their environment. However, such distancing can potentially be countered by the transfer of local knowledge between community members and from one generation to the next. The objective of this study is to simulate by way of agent-based modeling the tensions between technology-induced distancing and local knowledge that are exerted on community vulnerability to climate change. A model is developed that simulates how a collection of individual perceptions about changes to climatic-related variables manifest into community perceptions, how perceptions are influenced by the movement away from traditional resource use, and how the transmission of knowledge mitigates the potentially adverse effects of technology-induced distancing. The model is implemented utilizing climate and social data for two remote communities located on the Seward Peninsula in western Alaska. The agent-based model simulates a set of scenarios that depict different ways in which these communities may potentially engage with their natural resources, utilize knowledge transfer, and develop perceptions of how the local climate is different from previous years. A loosely-coupled pan-arctic climate model simulates changes monthly changes to climatic variables. The discrepancy between the perceptions derived from the agent-based model and the projections simulated by the climate model represent community vulnerability. The results demonstrate how demographics, the communication of knowledge and the types of ‘knowledge-providers’ influence community perception about changes to their local climate. PMID:21556176

  10. Assessing the impacts of local knowledge and technology on climate change vulnerability in remote communities.

    PubMed

    Bone, Christopher; Alessa, Lilian; Altaweel, Mark; Kliskey, Andrew; Lammers, Richard

    2011-03-01

    The introduction of new technologies into small remote communities can alter how individuals acquire knowledge about their surrounding environment. This is especially true when technologies that satisfy basic needs, such as freshwater use, create a distance (i.e., diminishing exposure) between individuals and their environment. However, such distancing can potentially be countered by the transfer of local knowledge between community members and from one generation to the next. The objective of this study is to simulate by way of agent-based modeling the tensions between technology-induced distancing and local knowledge that are exerted on community vulnerability to climate change. A model is developed that simulates how a collection of individual perceptions about changes to climatic-related variables manifest into community perceptions, how perceptions are influenced by the movement away from traditional resource use, and how the transmission of knowledge mitigates the potentially adverse effects of technology-induced distancing. The model is implemented utilizing climate and social data for two remote communities located on the Seward Peninsula in western Alaska. The agent-based model simulates a set of scenarios that depict different ways in which these communities may potentially engage with their natural resources, utilize knowledge transfer, and develop perceptions of how the local climate is different from previous years. A loosely-coupled pan-arctic climate model simulates changes monthly changes to climatic variables. The discrepancy between the perceptions derived from the agent-based model and the projections simulated by the climate model represent community vulnerability. The results demonstrate how demographics, the communication of knowledge and the types of 'knowledge-providers' influence community perception about changes to their local climate.

  11. Developing a Framework for Assessing Climate-Change Impacts on Common Loon Habitat Suitability in Northern Wisconsin

    NASA Astrophysics Data System (ADS)

    Walker, J. F.; Hunt, R. J.; Kenow, K. P.; Meyer, M. W.; Hay, L. E.

    2008-12-01

    A major focus of the U.S. Geological Survey's Trout Lake Water, Energy and Biogeochemical Budgets (WEBB) project is the development of a watershed model to allow predictions of hydrologic response to future conditions including land-use and climate. The coupled ground-water/surface-water model GSFLOW was chosen for this purpose because it could easily incorporate an existing ground-water flow model and it provides for simulation of surface-water processes. The Trout Lake watershed in Northern Wisconsin is underlain by a highly conductive glacial outwash sand aquifer. In this area, stream flow is dominated by ground-water contributions; however, surface runoff does occur during intense rainfall periods and spring snowmelt, and locally in near-stream/lake areas where the unsaturated zone is thin. Model calibration was performed using the PEST automated parameter estimation suite of software and the time-series processing utility. PEST was also used to provide estimates of uncertainty associated with the model predictions. The calibrated model was used to simulate the hydrologic response of the study lakes to a variety of climate-change scenarios culled from the IPCC Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Results from the simulations indicate climate change could result in substantial changes to the hydrologic budgets of the selected study lakes. A framework of models is being constructed to assess the impact of climate change on loon nesting. Previous research indicates several physical attributes of lakes, including water chemistry and clarity, are associated with breeding territory selection by Wisconsin common loons. Results from the hydrologic simulations, along with particle tracking within the ground-water portion of the flow model, will be used to develop predictions of solutes into the selected lakes. Estimates of solute concentrations within the ground- water system will be based on relating flow-path residence time to

  12. Assessing Uncertainties for Water Manager's Planning: Understanding the Impacts of Policy and Climate Change for Informed Decision Making

    NASA Astrophysics Data System (ADS)

    Escobar, V. M.; Sampson, D. A.

    2010-12-01

    Assessing future water supplies requires untangling policy and recasting issues in a way that acknowledges the inherent uncertainties of climate and population growth predictions, while offering meaningful metrics for outcomes under alternative scenarios. Vulnerability to water shortages in the Phoenix Active Management Area (AMA) of Arizona varies by location, demand and available supply, creating a unique challenge to facilitating sustainable decisions by water providers. The Decision Center for a Desert City at Arizona State University has an updated provider-level water planning and management model termed WaterSim 4.01, which incorporates groundwater availability (MODFLOW) and calculates demands as influenced by population, demographics, and climatic uncertainty for 33 water providers in the Phoenix AMA2. Results of uncertainty are portrayed as groundwater drawdown as a function of climate change, population growth, and policy. Climate scenarios are run on a yearly time-step to calculate the groundwater required to satisfy provider demands. Outputs across water provider areas serve as the inputs to the Arizona Groundwater Model (SRV83-06). We present two water provider portfolios (Tempe and Sun City) as an example of the heterogeneity of water supplies and groundwater availability between 2006 and 2030. Tempe’s portfolio consists of surface water (Colorado River water and Salt/Verde River water) and groundwater, resulting in only 17% of physically available groundwater used by 2030, leaving over 82% for future use. Sun City’s portfolio consists primarily of Colorado River water, therefore during shortages on the Colorado River, Sun City is forced to use over 63% of physically available groundwater by 2030. The biggest impacts on Phoenix AMA’s water management may result less from changing climate itself than from water policies devised over the course of time. A scenario such as this demonstrates the regional uncertainty each provider may experience

  13. 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

  14. 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

  15. Sustainability Impact Assessment of two forest-based bioenergy production systems related to mitigation and adaption to Climate Change

    NASA Astrophysics Data System (ADS)

    Gartzia-Bengoetxea, Nahia; Arias-González, Ander; Tuomasjukka, Diana

    2016-04-01

    New forest management strategies are necessary to resist and adapt to Climate Change (CC) and to maintain ecosystem functions such as forest productivity, water storage and biomass production. The increased use of forest-based biomass for energy generation as well as the application of combustion or pyrolysis co-products such as ash or biochar back into forest soils is being suggested as a CC mitigation and adaptation strategy while trying to fulfil the targets of both: (i) Europe 2020 growth strategy in relation to CC and energy sustainability and (ii) EU Action Plan for the Circular Economy. The energy stored in harvested biomass can be released through combustion and used for energy generation to enable national energy security (reduced oil dependence) and the substitution of fossil fuel by renewable biomass can decrease the emission of greenhouse gases.In the end, the wood-ash produced in the process can return to the forest soil to replace the nutrients exported by harvesting. Another way to use biomass in this green circular framework is to pyrolyse it. Pyrolysis of the biomass produce a carbon-rich product (biochar) that can increase carbon sequestration in the soils and liquid and gas co-products of biomass pyrolysis can be used for energy generation or other fuel use thereby offsetting fossil fuel consumption and so avoiding greenhouse gas emissions. Both biomass based energy systems differ in the amount of energy produced, in the co-product (biochar or wood ash) returned to the field, and in societal impacts they have. The Tool for Sustainability Impact Assessment (ToSIA) was used for modelling both energy production systems. ToSIA integrates several different methods, and allows a quantification and objective comparison of economic, environmental and social impacts in a sustainability impact assessment for different decision alternatives/scenarios. We will interpret the results in order to support the bioenergy planning in temperate forests under the

  16. "CITY 2020+": assessing climate change impacts for the city of Aachen related to demographic change and health - a progress report

    NASA Astrophysics Data System (ADS)

    Schneider, C.; Balzer, C.; Buttstädt, M.; Eßer, K.; Ginski, S.; Hahmann, J.; Ketzler, G.; Klemme, M.; Kröpelin, A.; Merbitz, H.; Michael, S.; Sachsen, T.; Siuda, A.; Weishoff-Houben, M.; Brunk, M. F.; Dott, W.; Hofmeister, H.; Pfaffenbach, C.; Roll, C.; Selle, K.

    2011-09-01

    The research initiative CITY 2020+ assesses the risks and opportunities for residents in urban built environments under projected demographic and climate change for the year 2020 and beyond, using the city of Aachen as a case study. CITY 2020+ develops strategies, options and tools for planning and developing sustainable future city structures. The investigation focuses on how urban environment, political structure and residential behaviour can best be adapted, with attention to the interactions among structural, political, and sociological configurations and their impacts on human health. The interdisciplinary research is organized in three clusters. Within the first cluster, strategies of older people exposed to heat stress, and their networks as well as environmental health risks according to atmospheric conditions are examined. The second cluster addresses governance questions, urban planning and building technologies as well as spatial patterns of the urban heat island. The third cluster includes studies on air quality related to particulate matter and a historical perspective of city development concerning environmental issues and climate variability. However, it turns out that research topics that require an interdisciplinary approach are best addressed not by pre-structuring the work into related sub-projects but through combining them according to shared methodological approaches. Examples illustrating this rather practical approach within ongoing research are presented in this paper.

  17. Assessment of climate change and its impact on forest stream flow using wavelet analysis

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Characterization of stream flow is essential to water resource management, water supply planning, environmental protection, and ecological restoration; while climate change can exacerbate stream flow and add instability to the flow. In this study, the wavelet analysis technique was employed to asse...

  18. Climate impacts on northern Canada: introduction.

    PubMed

    Furgal, Chris; Prowse, Terry

    2009-07-01

    There is significant evidence that northern Canada's climate has already undergone substantial change. These changes have meant significant impacts for physical, natural and human systems in Canada's North. Climate models suggest that such trends will continue into the future, and therefore shifts in Arctic systems are expected for some time to come. This introductory paper is the first in a series published in two issues of Ambio presenting work conducted for northern chapters of two recent Canadian national climate science assessment initiatives, From Impacts to Adaptation: Canada in a Changing Climate 2007 and Human Health in a Changing Climate: A Canadian Assessment of Vulnerabilities and Adaptive Capacity. Collectively, these assessments involved the work of 24 scientists with expertise in a variety of disciplines and regions in the Canadian North. These assessment processes adopted aspects of a vulnerability approach to climate assessment, primarily through a review of existing and projected exposures and elements of adaptive capacity based on existing literature. In so doing, they have contributed towards a more comprehensive understanding of climate impacts and adaptations across the northern regions of the country. This paper provides an overview and introduction to the series of papers contained in the two issues of Ambio.

  19. Assessment of climate change impact on water resources in the South-East part of Romania, using different spatial resolution atmospheric model output

    NASA Astrophysics Data System (ADS)

    Mic, Rodica Paula; Corbus, Ciprian; Neculau, Gianina

    2010-05-01

    The simulated flow by WatBal model in actual and forthcoming climate change conditions allows the assessment of climate change impact in water resources of Buzau and Ialomita river basins. The area of Buzau and Ialomita river basins is located of the outside of Curvature of the Carpathian Mountains, into a zone where the altitude varies from 2500m to 50m. In conformity of altitude, the annual precipitation varied from 1400 mm/year, in the mountainous area to 400 mm/year in the plane area and the evapotranspiration between 500 mm/year in the high area to 850 in the plane area. However, due to a very high variability of weather conditions, droughts as well as excessive humidity periods occur in the course of a year. The WATBAL model is an integrated water balance model with monthly time step model and it is combined with the Priesley-Taylor method for calculating the potential evapotranspiration. WatBal model was calibrated by simulation of monthly average flow during 1971-2000 in 4 cross-sections of Buzau catchment and 13 cross-sections of Ialomita river basin. The time series data input in WatBal model, necessary to calibrate the model parameters of this model in Buzau and Ialomita river basins include: rainfall, air temperature and relative humidity, sunshine duration, wind speed and flow in the analyzed sections. In order to assess the impacts of climate change in water resources in selected area ware used as input data the results of different global and regional climatic models, with different spatial resolution, and a comparison of these hydrological simulations it is made. In a first stage, the assessment of climate change impacts on water resources was based on a total of 27 climate scenarios determined by 3 global circulation models, ECHAM3/OPYC4, HadCM3 and NCAR-PCM each of these models being applied for three time horizons (2025 , 2050, 2100) and three intensities of climate changes phenomena. In the second stage, the analysis of the impact of climate

  20. Integrated snow and hydrology modeling for climate change impact assessment in Oregon Cascades

    NASA Astrophysics Data System (ADS)

    Safeeq, M.; Grant, G.; Lewis, S.; Nolin, A. W.; Hempel, L. A.; Cooper, M.; Tague, C.

    2014-12-01

    In the Pacific Northwest (PNW), increasing temperatures are expected to alter the hydrologic regimes of streams by shifting precipitation from snow to rain and forcing earlier snowmelt. How are such changes likely to affect peak flows across the region? Shifts in peak flows have obvious implications for changing flood risk, but are also likely to affect channel morphology, sediment transport, aquatic habitat, and water quality, issues with potentially high economic and environmental cost. Our goal, then, is to rigorously evaluate sensitivity to potential peak flow changes across the PNW. We address this by developing a detailed representation of snowpack and streamflow evolution under varying climate scenarios using a cascade-modeling approach. We have identified paired watersheds located on the east (Metolius River) and west (McKenzie River) sides of the Cascades, representing dry and wet climatic regimes, respectively. The tributaries of these two rivers are comprised of contrasting hydrologic regimes: surface-runoff dominated western cascades and deep-groundwater dominated high-cascades systems. We use a detailed hydro-ecological model (RHESSys) in conjunction with a spatially distributed snowpack evolution model (SnowModel) to characterize the peak flow behavior under present and future climate. We first calibrated and validated the SnowModel using observed temperature, precipitation, snow water equivalent, and manual snow survey data sets. We then employed a multi-objective calibration strategy for RHESSys using the simulated snow accumulation and melt from SnowModel and observed streamflow. The Nash-Sutcliffe Efficiency between observed and simulated streamflow varies between 0.5 in groundwater and 0.71 in surface-runoff dominated systems. The initial results indicate enhanced peak flow under future climate across all basins, but the magnitude of increase varies by the level of snowpack and deep-groundwater contribution in the watershed. Our continuing effort

  1. Assessing Climatic Impacts due to Land Use Change over Southeast Asian Maritime Continent base on Mesoscale Model Simulations

    NASA Astrophysics Data System (ADS)

    Feng, N.; Christopher, S. A.; Nair, U. S.

    2014-12-01

    Due to increasing urbanization, deforestation, and agriculture, land use change over Southeast Asia has dramatically risen during the last decades. Large areas of peat swamp forests over the Southeast Asian Maritime Continent region (10°S~20°N and 90°E~135°E) have been cleared for agricultural purposes. The Center for Remote Imaging, Sensing and Processing (CRISP) Moderate Resolution Imaging Spectroradiometer (MODIS) derived land cover classification data show that changes in land use are dominated by conversion of peat swamp forests to oil palm plantation, open lowland or lowland mosaic categories. Nested grid simulations based on Weather Research Forecasting Version 3.6 modelling system (WRFV3.6) over the central region of the Sarawak coast are used to investigate the climatic impacts of land use change over Maritime Continent. Numerical simulations were conducted for August of 2009 for satellite derived land cover scenarios for years 2000 and 2010. The variations in cloud formation, precipitation, and regional radiative and non-radiative parameters on climate results from land use change have been assessed based on numerical simulation results. Modelling studies demonstrate that land use change such as extensive deforestation processes can produce a negative radiative forcing due to the surface albedo increase and evapotranspiration decrease, while also largely caused reduced rainfall and cloud formation, and enhanced shortwave radiative forcing and temperature over the study area. Land use and land cover changes, similar to the domain in this study, has also occurred over other regions in Southeast Asia including Indonesia and could also impact cloud and precipitation formation in these regions.

  2. Nation-wide assessment of climate change impacts on crops in the Philippines and Peru as part of multi-disciplinary modelling framework

    NASA Astrophysics Data System (ADS)

    Fujisawa, Mariko; Kanamaru, Hideki

    2016-04-01

    Agriculture is vulnerable to environmental changes, and climate change has been recognized as one of the most devastating factors. In many developing countries, however, few studies have focused on nation-wide assessment of crop yield and crop suitability in the future, and hence there is a large pressure on science to provide policy makers with solid predictions for major crops in the countries in support of climate risk management policies and programmes. FAO has developed the tool MOSAICC (Modelling System for Agricultural Impacts of Climate Change) where statistical climate downscaling is combined with crop yield projections under climate change scenarios. Three steps are required to get the results: 1. The historical meteorological data such as temperature and precipitation for about 30 years were collected, and future climates were statistically downscaled to the local scale, 2. The historical crop yield data were collected and regression functions were made to estimate the yield by using observed climatic data and water balance during the growing period for each crop, and 3. The yield changes in the future were estimated by using the future climate data, produced by the first step, as an input to the yield regression functions. The yield was first simulated at sub-national scale and aggregated to national scale, which is intended to provide national policies with adaptation options. The methodology considers future changes in characteristics of extreme weather events as the climate projections are on daily scale while crop simulations are on 10-daily scale. Yields were simulated with two greenhouse gas concentration pathways (RCPs) for three GCMs per crop to account for uncertainties in projections. The crop assessment constitutes a larger multi-disciplinary assessment of climate change impacts on agriculture and vulnerability of livelihoods in terms of food security (e.g. water resources, agriculture market, household-level food security from socio

  3. Assessing the impact of landuse change, climate change and reservoirs on suspended sediment load in Da river (China-Vietnam)

    NASA Astrophysics Data System (ADS)

    Van Thinh, Le; Soncini, Andrea; Bocchiola, Daniele; Ranzi, Roberto; Rulli, Maria Cristina

    2016-04-01

    Sediment issues have critical implications for aquatic ecology, agriculture, water supply and river navigation. Recently, with the construction and operation of several reservoirs in Da river basin (China-Vietnam), such as Hoa Binh, Lai Chau, Son La and so on, this issue has risen high interest and concern. Reservoirs have been built to meet several important needs, including increasing energy, irrigation, and drinking water demand. However, the decision maker should pay attention to the effects on sediment load, namely trapping of sediments, reduction of sediment concentration downstream reservoirs, increasing riverbank erosion, and localized erosion nearby hydraulic structures. In addition, land use changes, and climate changes are also to be considered as causing effect on sediment erosion and transport. The aim of this work is to evaluate the effects of separate factors (reservoirs, land use change, and climate change) on sediment load in the Da river basin. To this purpose, an updated and enhanced version of the soil erosion and transport model at the catchment scale, namely DIMOSHONG_RUSLE is applied to the Da river basin. More than 50 years of monthly precipitation, runoff and suspended sediment load data are processed. Two historical (1983, 2000) land use maps were generated based on statistic data of the government. The effect of land use change, and reservoirs is assessed on the basis of trends observed in the last decades. To develop the DIMOSHONG_RUSLE model in the period 1961-1985 with land use 1983 (before Hoa Binh reservoir was constructed completely) an updated version of the parameters of the RUSLE equation is determined according to the space variability on the soil types base on experimental data. Then, using chosen optimized parameter of RUSLE, suspended sediment load for the period 1986-2005 (with the Hoa Binh reservoir built and in operation) corresponding with land use in 2000 are calculated. The results are in good agreement with observed

  4. Assessments of Drought Impacts on Vegetation in China with the Optimal Time Scales of the Climatic Drought Index.

    PubMed

    Li, Zheng; Zhou, Tao; Zhao, Xiang; Huang, Kaicheng; Gao, Shan; Wu, Hao; Luo, Hui

    2015-07-08

    Drought is expected to increase in frequency and severity due to global warming, and its impacts on vegetation are typically extensively evaluated with climatic drought indices, such as multi-scalar Standardized Precipitation Evapotranspiration Index (SPEI). We analyzed the covariation between the SPEIs of various time scales and the anomalies of the normalized difference vegetation index (NDVI), from which the vegetation type-related optimal time scales were retrieved. The results indicated that the optimal time scales of needle-leaved forest, broadleaf forest and shrubland were between 10 and 12 months, which were considerably longer than the grassland, meadow and cultivated vegetation ones (2 to 4 months). When the optimal vegetation type-related time scales were used, the SPEI could better reflect the vegetation's responses to water conditions, with the correlation coefficients between SPEIs and NDVI anomalies increased by 5.88% to 28.4%. We investigated the spatio-temporal characteristics of drought and quantified the different responses of vegetation growth to drought during the growing season (April-October). The results revealed that the frequency of drought has increased in the 21st century with the drying trend occurring in most of China. These results are useful for ecological assessments and adapting management steps to mitigate the impact of drought on vegetation. They are helpful to employ water resources more efficiently and reduce potential damage to human health caused by water shortages.

  5. Climate Impact of Solar Variability

    NASA Technical Reports Server (NTRS)

    Schatten, Kenneth H. (Editor); Arking, Albert (Editor)

    1990-01-01

    The conference on The Climate Impact of Solar Variability, was held at Goddard Space Flight Center from April 24 to 27, 1990. In recent years they developed a renewed interest in the potential effects of increasing greenhouse gases on climate. Carbon dioxide, methane, nitrous oxide, and the chlorofluorocarbons have been increasing at rates that could significantly change climate. There is considerable uncertainty over the magnitude of this anthropogenic change. The climate system is very complex, with feedback processes that are not fully understood. Moreover, there are two sources of natural climate variability (volcanic aerosols and solar variability) added to the anthropogenic changes which may confuse our interpretation of the observed temperature record. Thus, if we could understand the climatic impact of the natural variability, it would aid our interpretation and understanding of man-made climate changes.

  6. Adjusting skewness and maximum 0.5 hour intensity in CLIGEN to improve extreme event and sub-daily intensity generation for assessing climate change impacts

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Both measured data and GCM/RCM projections show an general increasing trend in extreme rainfall events as temperature rises in US. Proper simulation of extreme events is particularly important for assessing climate change impacts on soil erosion and hydrology. The objective of this paper is to fin...

  7. Assessing urban climate change resilience

    NASA Astrophysics Data System (ADS)

    Voskaki, Asimina

    2016-04-01

    Recent extreme weather events demonstrate that many urban environments are vulnerable to climate change impacts and as a consequence designing systems for future climate seems to be an important parameter in sustainable urban planning. The focus of this research is the development of a theoretical framework to assess climate change resilience in urban environments. The methodological approach used encompasses literature review, detailed analysis, and combination of data, and the development of a series of evaluation criteria, which are further analyzed into a list of measures. The choice of the specific measures is based upon various environmental, urban planning parameters, social, economic and institutional features taking into consideration key vulnerabilities and risk associated with climate change. The selected criteria are further prioritized to incorporate into the evaluation framework the level of importance of different issues towards a climate change resilient city. The framework could support decision making as regards the ability of an urban system to adapt. In addition it gives information on the level of adaptation, outlining barriers to sustainable urban planning and pointing out drivers for action and reaction.

  8. Urban Impact Assessment and Adaptation Strategies to Climate Change in Europe: A Case Study for Antwerp, Berlin and Almada

    NASA Astrophysics Data System (ADS)

    Stevens, Catherine; Thomas, Bart

    2014-05-01

    Climate change is driven by global processes such as the global ocean circulation and its variability over time leading to changing weather patterns on regional scales as well as changes in the severity and occurrence of extreme events such as heat waves. For example, the summer 2003 European heat wave caused up to 70.000 excess deaths over four months in Central and Western Europe. As around 75% of Europe's population resides in urban areas, it is of particular relevance to examine the impact of seasonal to decadal-scale climate variability on urban areas and their populations. This study aims at downscaling the spatially coarse resolution CMIP5 climate predictions to the local urban scale and investigating the relation between heat waves and the urban-rural temperature increment (urban heat island effect). The resulting heat stress effect is not only driven by climatic variables but also impacted by urban morphology. Moreover, the exposure varies significantly with the geographical location. All this information is coupled with relevant socio-economic datasets such as population density, age structure, etc. focussing on human health. The analyses are conducted in the framework of the NACLIM FP7 project funded by the European Commission involving local stakeholders such as the cities of Antwerp (BE), Berlin (DE) and Almada (PT) represented by different climate and urban characteristics. The end-user needs have been consolidated in a climate services plan including the production of heat risk exposure maps and the analysis of various scenarios considering e.g. the uncertainty of the global climate predictions, urban expansion over time and the impact of mitigation measures such as green roofs. The results of this study will allow urban planners and policy makers facing the challenges of climate change and develop sound strategies for the design and management of climate resilient cities.

  9. Assessing the robustness of adaptation decisions in river flood defences to uncertainty in climate impact analysis: A case study on the River Suir, Ireland

    NASA Astrophysics Data System (ADS)

    Murphy, N.; Murphy, C.

    2009-12-01

    Climate change presents a challenging environment for policy makers and planners as future climate projections are fraught with uncertainty. From the formulation of emissions scenarios, through to the output from Global Climate Models to the regional and then the local scale, uncertainty propagates and increases leading to a cascade of uncertainty (Jones, 2001). The level of flood defences for rivers in Ireland has been built to withstand the 1 in 100 year event based on the historic record. However, stream flow due to climate change is likely to increase by 20% in winter by mid century. The Office of Public Works has therefore revised their projections by adding 20% to the 1 in 100 year event as a design feature of their new flood defences. This poster presents a sensitivity analysis of how various aspects of the climate impact assessment affect the revised level of the 1 in 100 year flood. The River Suir is used as a case study. This poster aims to quantify how different aspects of climate impact assessment uncertainty (GCM, Emissions scenario, impact model) affect the revised level of the 1 in 100 year flood and evaluates if the design of flood defences remains robust to the this uncertainty. Authors. Nuala Murphy Conor Murphy

  10. Assessing the impacts of climate change on winter crop production in Uruguay and Argentina using crop simulation models

    SciTech Connect

    Baethgen, W.E.; Magrin, G.O.

    1995-12-31

    Enhanced greenhouse effect caused by the increase in atmospheric concentration of CO{sub 2} and other trace gases could lead to higher global surface temperature and altered hydrological cycles. Most possible climate change scenarios include higher atmospheric CO{sub 2} concentrations, higher temperatures, and changes in precipitation. Three global climate models (GCMs) were applied to generate climate change scenarios for the Pampas region in southern South America. The generated scenarios were then used with crop simulation models to study the possible impact of climate change on wheat (Triticum aestivum L.) and barley (Hordeum vulgare L.) production in the Pampas. The authors evaluated the impact of possible climate change scenarios on wheat and barley production in Uruguay for a wide range of soil and crop management strategies including planting dates, cultivar types, fertilizer management, and tillage practices. They also studied the impact of climate change on wheat production across two transects of the Pampas: north to south transect with decreasing temperature, and east to west transect with decreasing precipitation. Finally, sensitivity analyses were conducted for both, the Uruguayan site and the transects, by increasing daily maximum and minimum temperature by 0, 2, and 4 C, and changing the precipitation by {minus}20, 0, and +20%.

  11. A stochastic assessment of climate change impacts on precipitation and potential evaporation in Alberta

    NASA Astrophysics Data System (ADS)

    Vashchyshyn, I.; Wheater, H. S.; Chun, K.

    2012-12-01

    In many climate change investigations, changes in precipitation are projected under various scenarios; however, changes in evaporation have received relatively less attention. For irrigation and water resources management, the difference between potential evaporation and precipitation can provide better quantification of local water availability and drought conditions. Therefore, projecting joint variations in precipitation and potential evaporation can provide better information for climate change adaptation. A stochastic approach based on a Generalised Linear Model (GLM) framework is proposed to study these together at a station scale. Eight stations in Alberta are selected for which historical pan evaporation records and up-to-date meteorological information are available. Results show that potential evaporation estimated from Global Circulation Models directly can be unreliable. The evaporation ensemble simulated by the GLM approach can represent observed evaporation more realistically and provide better uncertainty quantification. If only simulated precipitation is considered, the projected drought conditions in the 2080s are likely to be less severe than that in the 2000s. However, the projected difference between precipitation and evaporation (water deficit) shows that the future drought conditions may be higher or lower, varying between the stations. Implications of the results and further development of the proposed approach to address spatial dependence between stations are also discussed.

  12. Hydrological Model Parameter (In)stability - Implications for the Assessment of Climate Change Impacts on Flood Seasonality

    NASA Astrophysics Data System (ADS)

    Vormoor, K.; Lawrence, D.; Heistermann, M.; Bronstert, A.

    2014-12-01

    different calibration periods. The approach allows for detecting hydrological parameter sets which are better suited to simulate discharge for future conditions and which may help to reduce hydrological parameter uncertainty in the assessment of climate change impacts on flood seasonality and its underlying generation processes.

  13. Can the combined use of an ensemble based modelling approach and the analysis of measured meteorological trends lead to increased confidence in climate change impact assessments?

    NASA Astrophysics Data System (ADS)

    Gädeke, Anne; Koch, Hagen; Pohle, Ina; Grünewald, Uwe

    2014-05-01

    In anthropogenically heavily impacted river catchments, such as the Lusatian river catchments of Spree and Schwarze Elster (Germany), the robust assessment of possible impacts of climate change on the regional water resources is of high relevance for the development and implementation of suitable climate change adaptation strategies. Large uncertainties inherent in future climate projections may, however, reduce the willingness of regional stakeholder to develop and implement suitable adaptation strategies to climate change. This study provides an overview of different possibilities to consider uncertainties in climate change impact assessments by means of (1) an ensemble based modelling approach and (2) the incorporation of measured and simulated meteorological trends. The ensemble based modelling approach consists of the meteorological output of four climate downscaling approaches (DAs) (two dynamical and two statistical DAs (113 realisations in total)), which drive different model configurations of two conceptually different hydrological models (HBV-light and WaSiM-ETH). As study area serve three near natural subcatchments of the Spree and Schwarze Elster river catchments. The objective of incorporating measured meteorological trends into the analysis was twofold: measured trends can (i) serve as a mean to validate the results of the DAs and (ii) be regarded as harbinger for the future direction of change. Moreover, regional stakeholders seem to have more trust in measurements than in modelling results. In order to evaluate the nature of the trends, both gradual (Mann-Kendall test) and step changes (Pettitt test) are considered as well as both temporal and spatial correlations in the data. The results of the ensemble based modelling chain show that depending on the type (dynamical or statistical) of DA used, opposing trends in precipitation, actual evapotranspiration and discharge are simulated in the scenario period (2031-2060). While the statistical DAs

  14. The satellite power system - Assessment of the environmental impact on middle atmosphere composition and on climate

    NASA Astrophysics Data System (ADS)

    Whitten, R. C.; Borucki, W. J.; Park, C.; Pfister, L.; Woodward, H. T.; Turco, R. P.; Capone, L. A.; Riegel, C. A.; Kropp, T.

    Numerical models were developed to calculate the total deposition of watervapor, hydrogen, CO2, CO, SO2, and NO in the middle atmosphere from operation of heavy lift launch vehicles (HLLV) used to build a satellite solar power system (SPS). The effects of the contaminants were examined for their effects on the upper atmosphere. One- and two-dimensional models were formulated for the photochemistry of the upper atmosphere and for rocket plumes and reentry. An SPS scenario of 400 launches per year for 10 yr was considered. The build-up of the contaminants in the atmosphere was projected to have no significant effects, even at the launch latitude. Neither would there by any dangerous ozone depletion. It was found that H, OH, and HO2 species would double in the thermosphere. No measurable changes in climate were foreseen.

  15. The satellite power system - Assessment of the environmental impact on middle atmosphere composition and on climate

    NASA Technical Reports Server (NTRS)

    Whitten, R. C.; Borucki, W. J.; Park, C.; Pfister, L.; Woodward, H. T.; Turco, R. P.; Capone, L. A.; Riegel, C. A.; Kropp, T.

    1982-01-01

    Numerical models were developed to calculate the total deposition of watervapor, hydrogen, CO2, CO, SO2, and NO in the middle atmosphere from operation of heavy lift launch vehicles (HLLV) used to build a satellite solar power system (SPS). The effects of the contaminants were examined for their effects on the upper atmosphere. One- and two-dimensional models were formulated for the photochemistry of the upper atmosphere and for rocket plumes and reentry. An SPS scenario of 400 launches per year for 10 yr was considered. The build-up of the contaminants in the atmosphere was projected to have no significant effects, even at the launch latitude. Neither would there by any dangerous ozone depletion. It was found that H, OH, and HO2 species would double in the thermosphere. No measurable changes in climate were foreseen.

  16. Climate Change Impacts and Vulnerabilities Assessment on Forest Vegetation Through Time-Series Multisensor Satellite Data

    NASA Astrophysics Data System (ADS)

    Zoran, Maria; Savastru, Dan; Dida, Adrian

    2016-08-01

    Sustaining forest resources in Romania requires a better understanding of forest ecosystem processes, and how management decisions and climate and anthropogenic change may affect these processes in the future. Spatio- temporal forest vegetation dynamics have been quantified as the total amount of vegetation (mean NDVI) and the seasonal difference (annual NDVI amplitude) by a time series analysis of NDVI LAI satellite images over 2000 - 2015 period for a forest ecosystem placed in the North-Eastern part of Bucharest town, Romania, from MODIS Terra/Aqua, LANDSAT TM/ETM and Sentinel satellite and meteorological data. For investigated test area, considerable NDVI decline was observed for drought events during 2003, 2007 and 2010 years. Under stress conditions, it is evident that environmental factors such as soil type, parent material, and topography are not correlated with NDVI dynamics. EO-based estimates of forest biophysical variables were shown to be similar to predictions derived from forest field inventories.

  17. Co-production of science for regional integrated assessment and management of climate change impacts: The case study of Aspen, CO

    NASA Astrophysics Data System (ADS)

    Arnott, J. C.; Katzenberger, J.

    2015-12-01

    The impacts of global climate change to regional scales are complex and cut across sectorial and jurisdictional boundaries, and therefore, a unique enterprise of collaboration between scientists, resource managers, and other stakeholders for development of adequate response strategies is required. Such collaboration has been exhibited between stakeholders, researchers, and a boundary organization—the Aspen Global Change Institute—since 2005 in assessing impacts and crafting policies in response with regard to climate change impacts in the mountain watershed surrounding Aspen, CO. A series of structured stakeholder interviews and town hall sessions, impact assessment reports, and intensive collaboration between various information providers and user groups has set the stage for development of both mitigation of and adaptation to climate change impacts. The most recent example of this has included the use of global scale climate model output to inform the development of resiliency strategies in response to extreme precipitation projections. The use of this kind of resource has been considered in a variety of decision-making contexts and has included the development of region- and decision-relevant qualitative scenarios that make use of quantitative model-based information. Results from this line of work that include feedback from actual users', a boundary organization, and researchers' perspectives will be reported along with examples of policy and implementation results.

  18. Development of National Future Extreme Heat Scenario to Enable the Assessment of Climate Impacts on Public Health

    NASA Technical Reports Server (NTRS)

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

    2013-01-01

    The project's emphasis is on providing assessments of the magnitude, frequency and geographic distribution of EHEs to facilitate public health studies. We focus on the daily to weekly time scales on which EHEs occur, not on decadal-scale climate changes. There is, however, a very strong connection between air temperature patterns at the two time scales and long-term climatic changes will certainly alter the frequency of EHEs.

  19. An assessment of the impact of local processes on dust lifting in martian climate models

    NASA Astrophysics Data System (ADS)

    Mulholland, David P.; Spiga, Aymeric; Listowski, Constantino; Read, Peter L.

    2015-05-01

    Simulation of the lifting of dust from the planetary surface is of substantially greater importance on Mars than on Earth, due to the fundamental role that atmospheric dust plays in the former's climate, yet the dust emission parameterisations used to date in martian global climate models (MGCMs) lag, understandably, behind their terrestrial counterparts in terms of sophistication. Recent developments in estimating surface roughness length over all martian terrains and in modelling atmospheric circulations at regional to local scales (less than O(100 km)) presents an opportunity to formulate an improved wind stress lifting parameterisation. We have upgraded the conventional scheme by including the spatially varying roughness length in the lifting parameterisation in a fully consistent manner (thereby correcting a possible underestimation of the true threshold level for wind stress lifting), and used a modification to account for deviations from neutral stability in the surface layer. Following these improvements, it is found that wind speeds at typical MGCM resolution never reach the lifting threshold at most gridpoints: winds fall particularly short in the southern midlatitudes, where mean roughness is large. Sub-grid scale variability, manifested in both the near-surface wind field and the surface roughness, is then considered, and is found to be a crucial means of bridging the gap between model winds and thresholds. Both forms of small-scale variability contribute to the formation of dust emission 'hotspots': areas within the model gridbox with particularly favourable conditions for lifting, namely a smooth surface combined with strong near-surface gusts. Such small-scale emission could in fact be particularly influential on Mars, due both to the intense positive radiative feedbacks that can drive storm growth and a strong hysteresis effect on saltation. By modelling this variability, dust lifting is predicted at the locations at which dust storms are frequently

  20. Assessment of biomass open burning emissions in Indonesia and potential climate forcing impact

    NASA Astrophysics Data System (ADS)

    Permadi, Didin Agustian; Kim Oanh, Nguyen Thi

    2013-10-01

    This paper presents an emission inventory (EI) for biomass open burning (OB) sources including forest, agro-residue and municipal solid waste (MSW) in Indonesia for year 2007. The EI covered toxic air pollutants and greenhouse gases (GHGs) and was presented as annual and monthly average for every district, and further on a grid of 0.25° × 0.25°. A rigorous analysis of activity data and emission factor ranges was done to produce the low, best and high emission estimates for each species. Development of EI methodology for MSW OB which, to our best knowledge, has not been presented in detail in the literature was a focus of this paper. The best estimates of biomass OB emission of toxic air pollutants for the country, in Gg, were: 9.6 SO2; 98 NOx; 7411 CO; 335 NMVOC; 162 NH3; 439 PM10; 357 PM2.5; 24 BC; and 147 OC. The best emission estimates of GHGs, in Gg, were: 401 CH4, 57,247 CO2; and 3.6 N2O. The low and high values of the emission estimates for different species were found to range from -86% to +260% of the corresponding best estimates. Crop residue OB contributed more than 80% of the total biomass OB emissions, followed by forest fire of 2-12% (not including peat soil fire emission) and MSW (1-8%). An inter-annual active fires count for Indonesia showed relatively low values in 2007 which may be attributed to the high rainfall intensity under the influence of La Niña climate pattern in the year. Total estimated net climate forcing from OB in Indonesia was 110 (20 year horizon) and 73 (100 year horizon) Tg CO2 equivalents which is around 0.9-1.1% of that reported for the global biomass OB for both time horizons. The spatial distribution showed higher emissions in large urban areas in Java and Sumatra Island, while the monthly emissions indicated higher values during the dry months of August-October.

  1. It's the Heat AND the Humidity -- Assessment of Extreme Heat Scenarios to Enable the Assessment of Climate Impacts on Public Health

    NASA Technical Reports Server (NTRS)

    Crosson, William L; Al-Hamdan, Mohammad Z.; Economou, Sigrid, A.; Estes, Maurice G.; Estes, Sue M.; Puckett, Mark; Quattrochi, Dale A

    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. In a NASA-funded project supporting the National Climate Assessment, we are providing historical and future measures of extreme heat 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 project s emphasis 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 output, and the temporal and spatial characteristics of short-term extremes are represented by the reanalysis data. Two future time horizons, 2040 and 2090, are the focus of future assessments; these are compared to the recent past period of 1981-2000. We are characterizing regional-scale temperature and humidity conditions using GCM output 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 output have been analyzed to develop a heat stress climatology based on statistics of extreme heat indicators. Differences between the two future and past periods have been used to define temperature and humidity changes on a monthly time scale and regional spatial scale. These changes, combined with hourly historical meteorological data at a spatial scale (12 km) much finer than that of GCMs, enable us to create future climate realizations, from which we compute the daily heat stress measures and related spatially-specific climatological fields. These include the mean annual

  2. Erratum to "Impact of uncertainty in soil, climatic, and chemical information in a pesticide leaching assessment".

    PubMed

    Loague, Keith; Green, Richard E; Giambelluca, Thomas W; Liang, Tony C; Yost, Russell S

    2016-11-01

    A simple mobility index, when combined with a geographic information system, can be used to generate rating maps which indicate qualitatively the potential for various organic chemicals to leach to groundwater. In this paper we investigate the magnitude of uncertainty associated with pesticide mobility estimates as a result of data uncertainties. Our example is for the Pearl Harbor Basin, Oahu, Hawaii. The two pesticides included in our analysis are atrazine (2-chloro-4-ethylamino-6-isopropylamino-s-triazine) and diuron [3-(3,4-dichlorophenyl)-1,1-dimethylarea]. The mobility index used here is known as the Attenuation Factor (AF); it requires soil, hydrogeologic, climatic, and chemical information as input data. We employ first-order uncertainty analysis to characterize the uncertainty in estimates of AF resulting from uncertainties in the various input data. Soils in the Pearl Harbor Basin are delineated at the order taxonomic category for this study. Our results show that there can be a significant amount of uncertainty in estimates of pesticide mobility for the Pearl Harbor Basin. This information needs to be considered if future decisions concerning chemical regulation are to be based on estimates of pesticide mobility determined from simple indices.

  3. Impact of uncertainty in soil, climatic, and chemical information in a pesticide leaching assessment

    NASA Astrophysics Data System (ADS)

    Loague, Keith; Green, Richard E.; Giambelluca, Thomas W.; Liang, Tony C.; Yost, Russell S.

    1990-01-01

    A simple mobility index, when combined with a geographic information system, can be used to generate rating maps which indicate qualitatively the potential for various organic chemicals to leach to groundwater. In this paper we investigate the magnitude of uncertainty associated with pesticide mobility estimates as a result of data uncertainties. Our example is for the Pearl Harbor Basin, Oahu, Hawaii. The two pesticides included in our analysis are atrazine (2-chloro-4-ethylamino-6-isopropylamino-s-triazine) and diuron [3-(3,4-dichlorophenyul)-1,1-dimethylarea]. The mobility index used here is known as the Attenuation Factor ( AF); it requires soil, hydrogeologic, climatic and chemical information as input data. We employ first-order uncertainty analysis to characterize the uncertainty in estimates of AF resulting from uncertainties in the various input data. Soils in the Pearl Harbor Basin are delineated at the order taxonomic category for this study. Our results show that there can be a significant amount of uncertainty in estimates of pesticide mobility for the Pearl Harbor Basin. This information needs to be considered if future decisions concerning chemical regulation are to be based on estimates of pesticide mobility determined from simple indices.

  4. Erratum to "Impact of uncertainty in soil, climatic, and chemical information in a pesticide leaching assessment"

    NASA Astrophysics Data System (ADS)

    Loague, Keith; Green, Richard E.; Giambelluca, Thomas W.; Liang, Tony C.; Yost, Russell S.

    2016-11-01

    A simple mobility index, when combined with a geographic information system, can be used to generate rating maps which indicate qualitatively the potential for various organic chemicals to leach to groundwater. In this paper we investigate the magnitude of uncertainty associated with pesticide mobility estimates as a result of data uncertainties. Our example is for the Pearl Harbor Basin, Oahu, Hawaii. The two pesticides included in our analysis are atrazine (2-chloro-4-ethylamino-6-isopropylamino-s-triazine) and diuron [3-(3,4-dichlorophenyl)-1,1-dimethylarea]. The mobility index used here is known as the Attenuation Factor (AF); it requires soil, hydrogeologic, climatic, and chemical information as input data. We employ first-order uncertainty analysis to characterize the uncertainty in estimates of AF resulting from uncertainties in the various input data. Soils in the Pearl Harbor Basin are delineated at the order taxonomic category for this study. Our results show that there can be a significant amount of uncertainty in estimates of pesticide mobility for the Pearl Harbor Basin. This information needs to be considered if future decisions concerning chemical regulation are to be based on estimates of pesticide mobility determined from simple indices.

  5. BASINS Climate Assessment Tool Tutorials

    EPA Pesticide Factsheets

    The BASINS Climate Assessment Tool (CAT) provides a flexible set of capabilities for exploring the potential effects of climate change on streamflow and water quality using different watershed models in BASINS.

  6. Assessing Climate Vulnerability and Resilience of a Major Water Resource System - Inverting the Paradigm for Specific Risk Quantification at Decision Making Points of Impact

    NASA Astrophysics Data System (ADS)

    Murphy, K. W.; Ellis, A. W.; Skindlov, J. A.

    2015-12-01

    Water resource systems have provided vital support to transformative growth in the Southwest United States and the Phoenix, Arizona metropolitan area where the Salt River Project (SRP) currently satisfies 40% of the area's water demand from reservoir storage and groundwater. Large natural variability and expectations of climate changes have sensitized water management to risks posed by future periods of excess and drought. The conventional approach to impacts assessment has been downscaled climate model simulations translated through hydrologic models; but, scenario ranges enlarge as uncertainties propagate through sequential levels of modeling complexity. The research often does not reach the stage of specific impact assessments, rendering future projections frustratingly uncertain and unsuitable for complex decision-making. Alternatively, this study inverts the common approach by beginning with the threatened water system and proceeding backwards to the uncertain climate future. The methodology is built upon reservoir system response modeling to exhaustive time series of climate-driven net basin supply. A reservoir operations model, developed with SRP guidance, assesses cumulative response to inflow variability and change. Complete statistical analyses of long-term historical watershed climate and runoff data are employed for 10,000-year stochastic simulations, rendering the entire range of multi-year extremes with full probabilistic characterization. Sets of climate change projections are then translated by temperature sensitivity and precipitation elasticity into future inflow distributions that are comparatively assessed with the reservoir operations model. This approach provides specific risk assessments in pragmatic terms familiar to decision makers, interpretable within the context of long-range planning and revealing a clearer meaning of climate change projections for the region. As a transferable example achieving actionable findings, the approach can

  7. Assessment of potential climate change impacts on peatland dissolved organic carbon release and drinking water treatment from laboratory experiments.

    PubMed

    Tang, R; Clark, J M; Bond, T; Graham, N; Hughes, D; Freeman, C

    2013-02-01

    Catchments draining peat soils provide the majority of drinking water in the UK. Over the past decades, concentrations of dissolved organic carbon (DOC) have increased in surface waters. Residual DOC can cause harmful carcinogenic disinfection by-products to form during water treatment processes. Increased frequency and severity of droughts combined with and increased temperatures expected as the climate changes, have potentials to change water quality. We used a novel approach to investigate links between climate change, DOC release and subsequent effects on drinking water treatment. We designed a climate manipulation experiment to simulate projected climate changes and monitored releases from peat soil and litter, then simulated coagulation used in water treatment. We showed that the 'drought' simulation was the dominant factor altering DOC release and affected the ability to remove DOC. Our results imply that future short-term drought events could have a greater impact than increased temperature on DOC treatability.

  8. Assessing the impacts of anthropogenic and hydro-climatic drivers on estrogen legacies and trajectories

    NASA Astrophysics Data System (ADS)

    Gall, Heather E.; Basu, Nandita B.; Mashtare, Michael L.; Rao, C.; Suresh, P.; Lee, Linda S.

    2016-01-01

    Intensification of concentrated animal feeding operations combined with the use of tile drains in agricultural fields has resulted in land-applied manure being a significant source of hormones to the environment. Currently, no model exists to simulate hormone fluxes from tile drains under field conditions. Therefore, we developed the Hormone Export and Recovery Dynamics (HERD) model, which incorporates hydro-climatic, biogeochemical, and anthropogenic drivers that affect hormone fate and transport. We validated HERD using known input (rainfall; lagoon effluent irrigation) and response data (tile drain flow; 17β-estradiol and estrone fluxes) from the 2009 growing season, 18 years after land-application activities began at a tile-drained field in Indiana. We used HERD to better understand the: (1) decision-making process underlying effluent irrigation activities; (2) contribution of macropore flow to estrogen transport; (3) potential for long-term applications to result in the development of legacy estrogen sources within the soil profile; and (4) potential recovery trajectory of estrogen transport following the cessation of animal waste applications. HERD adequately predicted irrigation events based on lagoon storage limits. Simple threshold exceedance logic for macropore flow activation accounted for ∼87% of the observed estrogen loads. Application history was found to be important, as not accounting for 18 years of application led to a severe underestimation of the observed estrogen loads; however, accounting for application history led to a much closer match between modeled and observed fluxes. Simulated trajectories after cessation of applications indicated that estrogens may continue to leach for several decades, which has important implications for mitigating hormone concentrations in receiving water bodies.

  9. Assessing climate change impacts on water availability of snowmelt-dominated basins of the Upper Rio Grande Basin

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Study Region- Upper Rio Grande, Colorado and New Mexico, USA: Climate change is predicted to further limit the water availability of the arid southwestern U.S. In this study, the Snowmelt Runoff Model is used to evaluate impacts of increased temperature and altered precipitation on snow covered are...

  10. ASSESSING THE RELATIVE AND COMBINED IMPACTS OF FUTURE LAND-USE AND CLIMATE CHANGES ON NONPOINT SOURCE POLLUTION

    EPA Science Inventory

    In this paper, we discuss the potential water quality impacts of future land-use and climate changes. The Little Miami River Basin was used as a case study. It is a predominantly agricultural watershed in southwestern Ohio (U.S.A.) that has experienced land-use modifications. ...

  11. Assessing the impact of ENSO on drought in the U.S. Southwest with NCEP climate model simulations

    NASA Astrophysics Data System (ADS)

    Wang, Hui; Kumar, Arun

    2015-07-01

    The impact of El Niño-Southern Oscillation (ENSO) on U.S. Southwest precipitation and drought is assessed based on observational data and coupled global climate model simulations. The co-variability between 67-year (1948-2014) Southwest winter precipitation and Pacific sea surface temperature (SST) is analyzed using the singular value decomposition method. Results indicate strong associations between Southwest drought and La Niña during 1948-1977 and between Southwest pluvial and El Niño during 1978-1999. The relationship between Southwest precipitation and tropical Pacific SST is relatively weak after 1999. A comparison between two 480-year model simulations with and without ENSO variability suggests that ENSO can alter the characteristics of precipitation, and thus droughts over the Southwest in terms of frequency and intensity. In the presence of ENSO, the variability of Southwest precipitation is enhanced, and further, shifts toward lower frequencies. In addition, the chance for the ENSO-related precipitation pattern to persist over 3-4 years in the Southwest is higher in the simulation with ENSO than that without ENSO. The modeling study also demonstrates a sensitivity of the Southwest precipitation-related teleconnection to both the phase and intensity of ENSO, which helps understand the observed decadal changes in the strength of the link between Southwest precipitation and ENSO.

  12. Application of downscaled precipitation for hydrological climate-change impact assessment in the upper Ping River Basin of Thailand

    NASA Astrophysics Data System (ADS)

    Sharma, Devesh; Babel, Mukand S.

    2013-11-01

    This paper assesses the impacts of climate change on water resources in the upper Ping River Basin of Thailand. A rainfall-runoff model is used to estimate future runoff based on the bias corrected and downscaled ECHAM4/OPYC general circulation model (GCM) precipitation scenarios for three future 5-year periods; the 2023-2027 (2025s), the 2048-2052 (2050s) and 2093-2097 (2095s). Bias-correction and spatial disaggregation techniques are applied to improve the characteristics of raw ECHAM4/OPYC precipitation. Results of future simulations suggest a decrease of 13-19 % in annual streamflow compared to the base period (1998-2002). Results also indicate that there will be a shift in seasonal streamflow pattern. Peak flows in future periods will occur in October-November rather than September as observed in the base period. There will be a significant increase in the streamflow in April with overall decrease in streamflow during the rainy season (May-October) and an increase during the dry season (November-April) for all future time periods considered in the study.

  13. Assessing the impact of a downscaled climate change simulation on the fish fauna in an Inner-Alpine River.

    PubMed

    Matulla, C; Schmutz, S; Melcher, A; Gerersdorfer, T; Haas, P

    2007-12-01

    This study assesses the impact of a changing climate on fish fauna by comparing the past mean state of fish assemblage to a possible future mean state. It is based on (1) local scale observations along an Inner-Alpine river called Mur, (2) an IPCC emission scenario (IS92a), implemented by atmosphere-ocean global circulation model (AOGCM) ECHAM4/OPYC3, and (3) a model-chain that links climate research to hydrobiology. The Mur River is still in a near-natural condition and water temperature in summer is the most important aquatic ecological constraint for fish distribution. The methodological strategy is (1) to use downscaled air temperature and precipitation scenarios for the first half of the twenty-first century, (2) to establish a model that simulates water temperature by means of air temperature and flow rate in order to generate water temperature scenarios, and (3) to evaluate the impact on fish communities using an ecological model that is driven by water temperature. This methodology links the response of fish fauna to an IPCC emission scenario and is to our knowledge an unprecedented approach. The downscaled IS92a scenarios show increased mean air temperatures during the whole year and increased precipitation totals during summer, but reduced totals for the rest of the annual cycle. These changes result in scenarios of increased water temperatures, an altered annual cycle of flow rate, and, in turn, a 70 m displacement in elevation of fish communities towards the river's head. This would enhance stress on species that rely on low water temperatures and coerce cyprinid species into advancing against retreating salmonids. Hyporhithral river sectors would turn into epipotamal sectors. Grayling (Thymallus thymallus) and Danube salmon (Hucho hucho), presently characteristic for the Mur River, would be superceded by other species. Native brown trout (Salmo trutta), already now under pressure of competition, may be at risk of losing its habitat in favour of

  14. An approach to developing local climate change environmental public health indicators, vulnerability assessments, and projections of future impacts.

    PubMed

    Houghton, Adele; English, Paul

    2014-01-01

    Environmental public health indicators (EPHIs) are used by local, state, and federal health agencies to track the status of environmental hazards; exposure to those hazards; health effects of exposure; and public health interventions designed to reduce or prevent the hazard, exposure, or resulting health effect. Climate and health EPHIs have been developed at the state, federal, and international levels. However, they are also needed at the local level to track variations in community vulnerability and to evaluate the effectiveness of interventions designed to enhance community resilience. This review draws on a guidance document developed by the U.S. Council of State and Territorial Epidemiologists' State Environmental Health Indicators Collaborative climate change working group to present a three-tiered approach to develop local climate change EPHIs. Local climate change EPHIs can assist local health departments (LHDs) in implementing key steps of the 10 essential public health services and the U.S. Centers for Disease Control and Prevention's Building Resilience Against Climate Effects framework. They also allow LHDs to incorporate climate-related trends into the larger health department planning process and can be used to perform vulnerability assessments which can be leveraged to ensure that interventions designed to address climate change do not exacerbate existing health disparities.

  15. An Approach to Developing Local Climate Change Environmental Public Health Indicators, Vulnerability Assessments, and Projections of Future Impacts

    PubMed Central

    2014-01-01

    Environmental public health indicators (EPHIs) are used by local, state, and federal health agencies to track the status of environmental hazards; exposure to those hazards; health effects of exposure; and public health interventions designed to reduce or prevent the hazard, exposure, or resulting health effect. Climate and health EPHIs have been developed at the state, federal, and international levels. However, they are also needed at the local level to track variations in community vulnerability and to evaluate the effectiveness of interventions designed to enhance community resilience. This review draws on a guidance document developed by the U.S. Council of State and Territorial Epidemiologists' State Environmental Health Indicators Collaborative climate change working group to present a three-tiered approach to develop local climate change EPHIs. Local climate change EPHIs can assist local health departments (LHDs) in implementing key steps of the 10 essential public health services and the U.S. Centers for Disease Control and Prevention's Building Resilience Against Climate Effects framework. They also allow LHDs to incorporate climate-related trends into the larger health department planning process and can be used to perform vulnerability assessments which can be leveraged to ensure that interventions designed to address climate change do not exacerbate existing health disparities. PMID:25349621

  16. Infrastructure Improvements for Snowmelt Runoff Forecasting and Assessments of Climate Change Impacts on Water Supplies in the Rio Grande Basin

    NASA Astrophysics Data System (ADS)

    Rango, A.; Steele, C. M.; Demouche, L.

    2009-12-01

    In the Southwest US, the southern Rocky Mountains provide a significant orographic barrier to prevailing moisture-laden Westerly winds, which results in snow accumulation and melt, both vitally important to the region’s water resources. The inherent variability of meteorological conditions in the Southwest, during both snowpack buildup and depletion, requires improved spatially-distributed data. The population of ground-based networks (SNOTEL, SCAN, and weather stations) is sparse and does not satisfactorily represent the variability of snow accumulation and melt. Remote sensing can be used to supplement data from ground networks, but the most frequently available remotely sensed product with the highest temporal and spatial resolution, namely snow cover, only provides areal data and not snow volume. Fortunately, the Snowmelt Runoff Model(SRM), which was developed in mountainous regions of the world, including the Rio Grande basin, accepts snow covered area as one of its major input variables along with temperature and precipitation. With the growing awareness of atmospheric warming and the southerly location of Southwest watersheds, it has become apparent that the effects of climate change will be especially important for Southwestern water users. The NSF-funded EPSCoR project “Climate Change Impacts on New Mexico’s Mountain Sources of Water” (started in 2009) has focused on improving hydrometeorological measurements, developing basin-wide and sub-basin snow cover mapping methods, generating snowmelt runoff simulations, forecasts, and long-term climate change assessments, and informing the public of the results through outreach and educational activities. Five new SNOTEL and four new SCAN sites are being installed in 2009-2010 and 12 existing basic SNOTEL sites are being upgraded. In addition, 30 automated precipitation gages are being added to New Mexico measurement networks. The first phase of snow mapping and modeling has focused on four sub basins

  17. Stochastic assessment of climate impacts on hydrology and geomorphology of semiarid headwater basins using a physically based model

    NASA Astrophysics Data System (ADS)

    Francipane, A.; Fatichi, S.; Ivanov, V. Y.; Noto, L. V.

    2015-03-01

    Hydrologic and geomorphic responses of watersheds to changes in climate are difficult to assess due to projection uncertainties and nonlinearity of the processes that are involved. Yet such assessments are increasingly needed and call for mechanistic approaches within a probabilistic framework. This study employs an integrated hydrology-geomorphology model, the Triangulated Irregular Network-based Real-time Integrated Basin Simulator (tRIBS)-Erosion, to analyze runoff and erosion sensitivity of seven semiarid headwater basins to projected climate conditions. The Advanced Weather Generator is used to produce two climate ensembles representative of the historic and future climate conditions for the Walnut Gulch Experimental Watershed located in the southwest U.S. The former ensemble incorporates the stochastic variability of the observed climate, while the latter includes the stochastic variability and the uncertainty of multimodel climate change projections. The ensembles are used as forcing for tRIBS-Erosion that simulates runoff and sediment basin responses leading to probabilistic inferences of future changes. The results show that annual precipitation for the area is generally expected to decrease in the future, with lower hourly intensities and similar daily rates. The smaller hourly rainfall generally results in lower mean annual runoff. However, a non-negligible probability of runoff increase in the future is identified, resulting from stochastic combinations of years with low and high runoff. On average, the magnitudes of mean and extreme events of sediment yield are expected to decrease with a very high probability. Importantly, the projected variability of annual sediment transport for the future conditions is comparable to that for the historic conditions, despite the fact that the former account for a much wider range of possible climate "alternatives." This result demonstrates that the historic natural climate variability of sediment yield is already so

  18. Projected Climate Change Impacts on Pennsylvania

    NASA Astrophysics Data System (ADS)

    Najjar, R.; Shortle, J.; Abler, D.; Blumsack, S.; Crane, R.; Kaufman, Z.; McDill, M.; Ready, R.; Rydzik, M.; Wagener, T.; Wardrop, D.; Wilson, T.

    2009-05-01

    We present an assessment of the potential impacts of human-induced climate change on the commonwealth of Pennsylvania, U.S.A. We first assess a suite of 21 global climate models for the state, rating them based on their ability to simulate the climate of Pennsylvania on time scales ranging from submonthly to interannual. The multi-model mean is superior to any individual model. Median projections by late century are 2-4 degrees C warming and 5-10 percent precipitation increases (B1 and A2 scenarios), with larger precipitation increases in winter and spring. Impacts on the commonwealth's aquatic and terrestrial ecosystems, water resources, agriculture, forests, energy, outdoor recreation, tourism, and human health, are evaluated. We also examine barriers and opportunities for Pennsylvania created by climate change mitigation. This assessment was sponsored by the Pennsylvania Department of Environmental Protection which, pursuant to the Pennsylvania Climate Change Act, Act 70 of 2008, is required to develop a report on the potential scientific and economic impacts of climate change to Pennsylvania.

  19. Providing a Fuller Characterization of Uncertainty in Climate Impact Assessments to Better Inform Local-to-Regional Scale Decisions in the Water Resources Sector

    NASA Astrophysics Data System (ADS)

    Arnold, J. R.; Clark, M. P.; Newman, A. J.; Wood, A. W.; Gutmann, E. D.; Mizukami, N.; Mendoza, P. A.; Rasmussen, R.; Ikeda, K.; Brekke, L. D.

    2014-12-01

    Assessments of projected climate change impacts on water resources at local-to-regional scales typically use a combination of numerical models for evaluating the various differences in projected effects resulting from different driving emissions scenarios and different climate models. Regional climate models, used to describe how large-scale changes in the Earth system effect change in the local or regional climate, and hydrologic models, used to describe how changes in local or regional climate effect change in local or regional hydrologic processes, are both typically used in these assessments. However, with both model types, assessments most often include only one or a small number of different models, and inter-model differences are often not constrained to define the uncertainties in the simulations consistently. More generally, the impacts assessment modeling community has focused very intently on characterizing uncertainty in climate projections using multiple climate models and multiple emission scenarios, doing less work to characterize and understand uncertainties in the regional climate and hydrologic models, and their important interactions, for impacts assessment and local-to-regional scale decision-making. The US Army Corps of Engineers is working with partners on a number of projects to help provide fuller characterizations of some previously undescribed uncertainties with the goal of helping inform its local-to-regional applications. Some salient results from those projects include: (1) choice of methods to produce gridded meteorological fields can have effects on projected hydrologic outcomes as large as the climate change signal; (2) many statistical downscaling methods popular in the water management community produce hydroclimate representations with too much drizzle, too small extreme events, and improper representation of spatial scaling characteristics relevant to hydrology; and (3) outcomes depend significantly on subjective decisions made

  20. Modeling and measuring snow for assessing climate change impacts in Glacier National Park, Montana

    USGS Publications Warehouse

    Fagre, Daniel B.; Selkowitz, David J.; Reardon, Blase; Holzer, Karen; Mckeon, Lisa L.

    2002-01-01

    A 12-year program of global change research at Glacier National Park by the U.S. Geological Survey and numerous collaborators has made progress in quantifying the role of snow as a driver of mountain ecosystem processes. Spatially extensive snow surveys during the annual accumulation/ablation cycle covered two mountain watersheds and approximately 1,000 km2 . Over 7,000 snow depth and snow water equivalent (SWE) measurements have been made through spring 2002. These augment two SNOTEL sites, 9 NRCS snow courses, and approximately 150 snow pit analyses. Snow data were used to establish spatially-explicit interannual variability in snowpack SWE. East of the Continental Divide, snowpack SWE was lower but also less variable than west of the Divide. Analysis of snowpacks suggest downward trends in SWE, a reduction in snow cover duration, and earlier melt-out dates during the past 52 years. Concurrently, high elevation forests and treelines have responded with increased growth. However, the 80 year record of snow from 3 NRCS snow courses reflects a strong influence from the Pacific Decadal Oscillation, resulting in 20-30 year phases of greater or lesser mean SWE. Coupled with the fine-resolution spatial snow data from the two watersheds, the ecological consequences of changes in snowpack can be empirically assessed at a habitat patch scale. This will be required because snow distribution models have had varied success in simulating snowpack accumulation/ablation dynamics in these mountain watersheds, ranging from R2=0.38 for individual south-facing forested snow survey routes to R2=0.95 when aggregated to the watershed scale. Key ecological responses to snowpack changes occur below the watershed scale, such as snow-mediated expansion of forest into subalpine meadows, making continued spatially-explicit snow surveys a necessity. 

  1. Assessing water resources adaptive capacity to climate change impacts in the Pacific Northwest Region of North America

    NASA Astrophysics Data System (ADS)

    Hamlet, A. F.

    2010-07-01

    Climate change impacts in Pacific Northwest Region of North America (PNW) are projected to include increasing temperatures and changes in the seasonality of precipitation (increasing precipitation in winter, decreasing precipitation in summer). Changes in precipitation are also spatially varying, with the northwestern parts of the region generally experiencing greater increases in cool season precipitation than the southeastern parts. These changes in climate are projected to cause loss of snowpack and associated streamflow timing shifts which will increase cool season (October-March) flows and decrease warm season (April-September) flows and water availability. Hydrologic extremes such as the 100 year flood and extreme low flows are also expected to change, although these impacts are not spatially homogeneous and vary with mid-winter temperatures and other factors. These changes have important implications for natural ecosystems affected by water, and for human systems. The PNW is endowed with extensive water resources infrastructure and well-established and well-funded management agencies responsible for ensuring that water resources objectives (such as water supply, water quality, flood control, hydropower production, environmental services, etc.) are met. Likewise, access to observed hydrological, meteorological, and climatic data and forecasts is in general exceptionally good in the United States and Canada, and access to these products and services is often supported by federally funded programs that ensure that these resources are available to water resources practitioners, policy makers, and the general public. Access to these extensive resources support the argument that at a technical level the PNW has high capacity to deal with the potential impacts of natural climate variability on water resources. To the extent that climate change will manifest itself as moderate changes in variability or extremes, we argue that existing water resources infrastructure

  2. Assessing water resources adaptive capacity to climate change impacts in the Pacific Northwest Region of North America

    NASA Astrophysics Data System (ADS)

    Hamlet, A. F.

    2011-05-01

    Climate change impacts in Pacific Northwest Region of North America (PNW) are projected to include increasing temperatures and changes in the seasonality of precipitation (increasing precipitation in winter, decreasing precipitation in summer). Changes in precipitation are also spatially varying, with the northwestern parts of the region generally experiencing greater increases in cool season precipitation than the southeastern parts. These changes in climate are projected to cause loss of snowpack and associated streamflow timing shifts which will increase cool season (October-March) flows and decrease warm season (April-September) flows and water availability. Hydrologic extremes such as the 100 yr flood and extreme low flows are also expected to change, although these impacts are not spatially homogeneous and vary with mid-winter temperatures and other factors. These changes have important implications for natural ecosystems affected by water, and for human systems. The PNW is endowed with extensive water resources infrastructure and well-established and well-funded management agencies responsible for ensuring that water resources objectives (such as water supply, water quality, flood control, hydropower production, environmental services, etc.) are met. Likewise, access to observed hydrological, meteorological, and climatic data and forecasts is in general exceptionally good in the United States and Canada, and is often supported by federally funded programs that ensure that these resources are freely available to water resources practitioners, policy makers, and the general public. Access to these extensive resources support the argument that at a technical level the PNW has high capacity to deal with the potential impacts of natural climate variability on water resources. To the extent that climate change will manifest itself as moderate changes in variability or extremes, we argue that existing water resources infrastructure and institutional arrangements

  3. Climate Change Impacts for the Conterminous USA: An Integrated Assessment Part 7. Economic Analysis of Field Crops and Land Use with Climate Change

    SciTech Connect

    Sands, Ronald D.; Edmonds, James A.

    2005-03-01

    PNNL's Agriculture and Land Use (AgLU) model is used to demonstrate the impact of potential changes in climate on agricultural production and land use in the United States. AgLU simulates production of four crop types in several world regions, in 15-year time steps from 1990 to 2095. Changes in yield of major field crops in the United States, for 12 climate scenarios, are obtained from simulations of the EPIC crop growth model. Results from the HUMUS model are used to constrain crop irrigation, and the BIOME3 model is used to simulate productivity of unmanaged ecosystems. Assumptions about changes in agricultural productivity outside the United States are treated on a scenario basis, either responding in the same way as in the United States, or not responding to climate.

  4. Assessments of Regional Climate Change and Land-Cover Change Impacts on Fire Weather in the United States

    NASA Astrophysics Data System (ADS)

    Heilman, W. E.; Pei, L.; Tang, Y.; Bian, X.; Zhong, S. S.; Luo, L.; Yu, L.

    2015-12-01

    Wildland fire is recognized as one of the dominant disturbances affecting forests and grasslands throughout the United States (U.S.). The development of long-term wildland fire and fuel management strategies can be aided with an improved understanding of how climate and land-use/land-cover (LULC) changes could potentially affect the occurrence of atmospheric conditions favorable for extreme fire behavior and for prescribed-fire usage as a fuel reduction tactic. Using atmospheric reanalysis data from the North American Regional Reanalysis (NARR) dataset, current and projected LULC data from the U.S. Geological Survey, and regional climate simulations performed with the Weather Research and Forecasting (WRF) model and a suite of North American Regional Climate Change Assessment Program (NARCCAP) modeling systems, we have examined recent trends and potential future changes in fire-weather patterns driven by regional climate and LULC changes. This presentation highlights some of the key findings of the assessments, including the identification of specific areas in the U.S. where future climate conditions may lead to more extreme wildfire behavior as quantified by an operational fire-weather index. The implications for wildland fire and fuels management in the U.S. are also presented.

  5. Estimating live fuel status by drought indices: an approach for assessing local impact of climate change on fire danger

    NASA Astrophysics Data System (ADS)

    Pellizzaro, Grazia; Dubrovsky, Martin; Bortolu, Sara; Ventura, Andrea; Arca, Bachisio; Masia, Pierpaolo; Duce, Pierpaolo

    2014-05-01

    Mediterranean shrubs are an important component of both Mediterranean vegetation communities and understorey vegetation. They also constitute the surface fuels primarily responsible for the ignition and the spread of wildland fires in Mediterranean forests. Although fire spread and behaviour are dependent on several factors, the water content of live fuel plays an important role in determining fire occurrence and spread, especially in the Mediterranean shrubland, where live fuel is often the main component of the available fuel which catches fire. According to projections on future climate, an increase in risk of summer droughts is likely to take place in Southern Europe. More prolonged drought seasons induced by climatic changes are likely to influence general flammability characteristics of fuel, affecting load distribution in vegetation strata, floristic composition, and live and dead fuel ratio. In addition, variations in precipitation and mean temperature could directly affect fuel water status, and consequently flammability, and length of critical periods of high ignition danger for Mediterranean ecosystems. The main aim of this work was to propose a methodology for evaluating possible impacts of future climate change on moisture dynamic and length of fire danger period at local scale. Specific objectives were: i) evaluating performances of meteorological drought indices in describing seasonal pattern of live fuel moisture content (LFMC), and ii) simulating the potential impacts of future climate changes on the duration of fire danger period. Measurements of LFMC seasonal pattern of three Mediterranean shrub species were performed in North Western Sardinia (Italy) for 8 years. Seasonal patterns of LFMC were compared with the Drought Code of the Canadian Forest Fire Weather Index and the Keetch-Byram Drought Index. Analysis of frequency distribution and cumulative distribution curves were carried out in order to evaluate performance of codes and to identify

  6. Impacts of Climate Changes in Ukraine on Hydrological Regime and Water Resources: Assessment and Measures of Adaptation

    NASA Astrophysics Data System (ADS)

    Manukalo, V.

    2009-12-01

    Results of implementation of the National Climate Program of Ukraine in the area of researches of climate changes on hydrological regime and surface water resources are presented. The researches have been carried out for major plain rivers of different natural zones of Ukraine. Researches showed that were no large changes of mean annual flow discharges for long-term period. The trend of increase or decrease of mean annual flow has not been revealed. Other results are obtained for mean monthly and seasonal discharges (snow spring flood in March - May, summer - autumn low flow in June - September, winter low flow in December - February). An increase of discharges has been revealed for northern rivers in all months, except for April and May. The larges increase of river flow has taken place in winter months. A tendency of decrease of mean flow for period of spring floods for the most rivers has been revealed. Maximum spring discharges became less approximately on 25% - 40%. There was an increase of discharges in a winter low flow period. Investigations of a runoff for Carpathians rivers have shown an increase of mean annual flow on 13- 27%. Since 1975 a frequency of high floods has increased for the Carpathians rivers. During last years 6 - 10 high floods have been formed annually. The assessment of possible changes of hydrological regime until 2030 has been carried out by Ukrainian hydrologists using the approaches developed in the State Hydrological Institute (Russia). There are essential peculiarities in possible hydrological changes for northern and southern plain rivers. The 15-25% rise in annual runoff for northern rivers is expected. Particularly, important changes are to be expected in a distribution of runoff by seasons: a rise in winters and a fall in springs. Unfavorable changes are expected for rivers of forest - steppe and steppe zones - decreasing of mean annual runoff up to 30-50%. There may be changes in distribution of river flow during hydrological

  7. Assessing climate change impacts on sorghum and millet yields in the Sudanian and Sahelian savannas of West Africa

    NASA Astrophysics Data System (ADS)

    Sultan, B.; Roudier, P.; Quirion, P.; Alhassane, A.; Muller, B.; Dingkuhn, M.; Ciais, P.; Guimberteau, M.; Traore, S.; Baron, C.

    2013-03-01

    Sub-Saharan West Africa is a vulnerable region where a better quantification and understanding of the impact of climate change on crop yields is urgently needed. Here, we have applied the process-based crop model SARRA-H calibrated and validated over multi-year field trials and surveys at eight contrasting sites in terms of climate and agricultural practices in Senegal, Mali, Burkina Faso and Niger. The model gives a reasonable correlation with observed yields of sorghum and millet under a range of cultivars and traditional crop management practices. We applied the model to more than 7000 simulations of yields of sorghum and millet for 35 stations across West Africa and under very different future climate conditions. We took into account 35 possible climate scenarios by combining precipitation anomalies from -20% to 20% and temperature anomalies from +0 to +6 °C. We found that most of the 35 scenarios (31/35) showed a negative impact on yields, up to -41% for +6 °C/ - 20% rainfall. Moreover, the potential future climate impacts on yields are very different from those recorded in the recent past. This is because of the increasingly adverse role of higher temperatures in reducing crop yields, irrespective of rainfall changes. When warming exceeds +2 °C, negative impacts caused by temperature rise cannot be counteracted by any rainfall change. The probability of a yield reduction appears to be greater in the Sudanian region (southern Senegal, Mali, Burkina Faso, northern Togo and Benin), because of an exacerbated sensitivity to temperature changes compared to the Sahelian region (Niger, Mali, northern parts of Senegal and Burkina Faso), where crop yields are more sensitive to rainfall change. Finally, our simulations show that the photoperiod-sensitive traditional cultivars of millet and sorghum used by local farmers for centuries seem more resilient to future climate conditions than modern cultivars bred for their high yield potential (-28% versus -40% for

  8. Comments on the process and product of the health impacts assessment component of the national assessment of the potential consequences of climate variability and change for the United States.

    PubMed Central

    Bernard, S M; Ebi, K L

    2001-01-01

    In 1990 Congress formed the U.S. Global Change Research Program and required it to conduct a periodic national assessment of the potential impacts of climate variability and change on all regions and select economic/resource sectors of the United States. Between 1998 and 2000, a team of experts collaborated on a health impacts assessment that formed the basis for the first National Assessment's analysis of the potential impacts of climate on human health. The health impacts assessment was integrated across a number of health disciplines and involved a search for and qualitative expert judgment review of data on the potential links between climate events and population health. Accomplishments included identification of vulnerable populations, adaptation strategies, research needs, and data gaps. Experts, stakeholders, and the public were involved. The assessment is reported in five articles in this issue; a summary was published in the April 2000 issue of Environmental Health Perspectives. The assessment report will enhance understanding of ways human health might be affected by various climate-associated stresses and of the need for further empirical and predictive research. Improved understanding and communication of the significance and inevitability of uncertainties in such an assessment are critical to further research and policy development. PMID:11359684

  9. Assessing School Climate

    ERIC Educational Resources Information Center

    Cohen, Jonathan; Pickeral, Terry; McCloskey, Molly

    2009-01-01

    Compelling empirical research shows that a positive and sustained school climate promotes students' academic achievement and healthy development. Not surprisingly, a positive school climate also promotes teacher retention, which itself enhances student success. Yet the knowledge of the effects of school climate on learning has not been translated…

  10. Modeling the impact of climate change in Germany with biosphere models for long-term safety assessment of nuclear waste repositories.

    PubMed

    Staudt, C; Semiochkina, N; Kaiser, J C; Pröhl, G

    2013-01-01

    Biosphere models are used to evaluate the exposure of populations to radionuclides from a deep geological repository. Since the time frame for assessments of long-time disposal safety is 1 million years, potential future climate changes need to be accounted for. Potential future climate conditions were defined for northern Germany according to model results from the BIOCLIM project. Nine present day reference climate regions were defined to cover those future climate conditions. A biosphere model was developed according to the BIOMASS methodology of the IAEA and model parameters were adjusted to the conditions at the reference climate regions. The model includes exposure pathways common to those reference climate regions in a stylized biosphere and relevant to the exposure of a hypothetical self-sustaining population at the site of potential radionuclide contamination from a deep geological repository. The end points of the model are Biosphere Dose Conversion factors (BDCF) for a range of radionuclides and scenarios normalized for a constant radionuclide concentration in near-surface groundwater. Model results suggest an increased exposure of in dry climate regions with a high impact of drinking water consumption rates and the amount of irrigation water used for agriculture.

  11. Climate Assessment For 2001

    NASA Astrophysics Data System (ADS)

    Waple, A. M.; Lawrimore, J. H.; Lyon, B.; Halpert, M. S.; Gleason, K. L.; Menne, M. J.; Schnell, R. C.; Thiaw, W.; Wright, W. J.; Alexander, L.; Salinger, M. J.; Bell, G. D.; Higgins, R. W.; Stone, R. S.

    2002-05-01

    It is the twelfth year that the Climate Assessment has been written to summarize the state of the Earth's climate, and the second year that the National Climatic Data Center has taken the lead in its production. It is a cooperative effort that includes contributions from scientists around the country and the world. The long-running La Nina episode finally came to an end in 2001. The weak La Nina, which began in mid-1998 persisted through the first half of the year but gave way to neutral ENSO conditions for the latter half. Global temperatures in 2001 were 0.51C (0.92F) above the long-term (1880-2000) average, which places 2001 as the second warmest year on record. Land temperatures were 0.75C (1.35F) above average and ocean temperatures were 0.40C (0.72F) above the 1880-2000 mean. This ranks them as 2nd and 3rd warmest on record respectively. The Northern Hemisphere temperature continues to average near record levels in 2001 at 0.60C (1.08F) above the long-term average. The Southern Hemisphere also reflects the globally warmer conditions, with a positive anomaly of 0.43C (0.77F). Annual anomalies in excess of 1.0C (1.8F) were widespread across North America and much of Europe and the Middle East, while significantly cooler than average conditions were confined to Western Australia the Northeast and Northwest Pacific Ocean, and the far southeastern region of the Pacific, near coastal Chile. Although no hurricanes made landfall in the United States for the second consecutive year, it was nonetheless an extremely active Atlantic hurricane season, the fourth most active on record. Tropical Storm Allison became the costliest tropical storm on record when it caused around five billion US dollars worth of damage in southern and southeastern USA. The season was slow to start but quickly escalated in the last three months of the season and it was the first time in recorded history that three hurricanes have formed in the Atlantic in the month of November. Other notable

  12. Schneider lecture: From climate change impacts to climate change risks

    NASA Astrophysics Data System (ADS)

    Field, C. B.

    2014-12-01

    Steve Schneider was a strong proponent of considering the entire range of possible climate-change outcomes. He wrote and spoke frequently about the importance of low probability/high consequence outcomes as well as most likely outcomes. He worked tirelessly on communicating the risks from overlapping stressors. Technical and conceptual issues have made it difficult for Steve's vision to reach maturity in mainstream climate-change research, but the picture is changing rapidly. The concept of climate-change risk, considering both probability and consequence, is central to the recently completed IPCC Fifth Assessment Report, and the concept frames much of the discussion about future research agendas. Framing climate change as a challenge in managing risks is important for five core reasons. First, conceptualizing the issue as being about probabilities builds a bridge between current climate variability and future climate change. Second, a formulation based on risks highlights the fact that climate impacts occur primarily in extremes. For historical variability and future impacts, the real concern is the conditions under which things break and systems fail, namely, in the extremes. Third, framing the challenge as one of managing risks puts a strong emphasis on exploring the full range of possible outcomes, including low-probability, high/consequence outcomes. Fourth, explaining climate change as a problem in managing risks links climate change to a wide range of sophisticated risk management tools and strategies that underpin much of modern society. Fifth, the concept of climate change as a challenge in managing risks helps cement the understanding that climate change is a threat multiplier, adding new dimensions and complexity to existing and emerging problems. Framing climate change as a challenge in managing risks creates an important but difficult agenda for research. The emphasis needs to shift from most likely outcomes to most risky outcomes, considering the full

  13. A Large-Scale, High-Resolution Hydrological Model Parameter Data Set for Climate Change Impact Assessment for the Conterminous US

    SciTech Connect

    Oubeidillah, Abdoul A; Kao, Shih-Chieh; Ashfaq, Moetasim; Naz, Bibi S; Tootle, Glenn

    2014-01-01

    To extend geographical coverage, refine spatial resolution, and improve modeling efficiency, a computation- and data-intensive effort was conducted to organize a comprehensive hydrologic dataset with post-calibrated model parameters for hydro-climate impact assessment. Several key inputs for hydrologic simulation including meteorologic forcings, soil, land class, vegetation, and elevation were collected from multiple best-available data sources and organized for 2107 hydrologic subbasins (8-digit hydrologic units, HUC8s) in the conterminous United States at refined 1/24 (~4 km) spatial resolution. Using high-performance computing for intensive model calibration, a high-resolution parameter dataset was prepared for the macro-scale Variable Infiltration Capacity (VIC) hydrologic model. The VIC simulation was driven by DAYMET daily meteorological forcing and was calibrated against USGS WaterWatch monthly runoff observations for each HUC8. The results showed that this new parameter dataset may help reasonably simulate runoff at most US HUC8 subbasins. Based on this exhaustive calibration effort, it is now possible to accurately estimate the resources required for further model improvement across the entire conterminous United States. We anticipate that through this hydrologic parameter dataset, the repeated effort of fundamental data processing can be lessened, so that research efforts can emphasize the more challenging task of assessing climate change impacts. The pre-organized model parameter dataset will be provided to interested parties to support further hydro-climate impact assessment.

  14. Climate change impact assessment on mountain snow hydrology by water and energy budget-based distributed hydrological model

    NASA Astrophysics Data System (ADS)

    Bhatti, Asif M.; Koike, Toshio; Shrestha, Maheswor

    2016-12-01

    A water and energy budget-based distributed hydrological model with improved snow physics (WEB-DHM-S) was applied to elucidate the impact of climate change on mountain snow hydrology in the Shubuto River basin, Hokkaido, Japan. The simulated spatial distribution of snow cover was evaluated using the Moderate Resolution Imaging Spectroradiometer (MODIS) 8-day maximum snow-cover extent (MOD10A2) product, which revealed the model's capability for capturing the spatiotemporal variations in snow cover within the study area. Four Atmosphere Ocean General Circulation Models (AOGCMs) were selected and the SRESA1B emission scenario of the Intergovernmental Panel on Climate Change was used to describe climate predictions in the basin. All AOGCMs predict a future decrease in snowmelt contribution to total discharge 11-22% and an average decrease in SWE of 36%, with a shift in peak SWE by 4-14 days. The shift in runoff regime is broadly consistent between the AOGCMs with snowmelt-induced peak discharge expected to occur on average about two weeks earlier in the future hydrological year. The warming climate will drive a shift in runoff regime from a combined rainfall- and snowmelt-driven regime to one with a reduced contribution from snowmelt. The results of the study revealed that the model could be successfully applicable on the basin scale to simulate river discharge and snow processes and to investigate the effect of climate change on hydrological processes. This research contributes to improve the understanding of basin hydrological responses and the pace of change associated with climate variability.

  15. Assessing climate change over the Marche Region (central Italy) from 1951 to 2050: toward an integrated strategy for climate impacts reduction

    NASA Astrophysics Data System (ADS)

    Sangelantoni, Lorenzo; Russo, Aniello; Marincioni, Fausto; Appiotti, Federica

    2013-04-01

    This study investigates consequences and future impacts of climate change on the social and natural systems of the Marche Region (one of the 20 administrative divisions of Italy). This Region, is located in central part of the peninsula and borders the Adriatic Sea on the East and the Apennine mountains on the West. The Region extends for about 60 km E-W, and has a NW-SE coastline of about 170 km, covering a total area of 9366 km2. Multimodel projections over the Marche Regions, on daily, monthly and seasonal temperature and precipitation parameters, have been extracted from the outputs of a set of Regional Climate Models (RCMs) over Europe run by several research institutes participating to the EU ENSEMBLE project. These climate simulations refer to the boundary conditions of the IPCC A1B emission scenario, and have a horizontal resolution of 25km × 25km covering a time period from 1951 to 2050. Results detail a significant increase of daily, monthly and seasonal mean temperatures, especially in summer, with anomaly values reaching +3°C after the year 2025, referring to the model CliNo 1981-2010. Mountain areas show higher values of temperature anomalies than coastal ones of approximately 0.5 °C. Concurrently, a widespread decrease of seasonal precipitation appears to affect all seasons, except for autumn. Rainfall decrease and temperature increase could reduce the Region's aquifer recharge and overall availability of hydro resources. These alterations could affect human health, agricultural productivity, forest fires, coastal erosion, algal blooms and water quality. Ongoing analysis of extreme climatological indices (e.g. frequency of maximum daily temperature exceeding comfort thresholds) are expected to quantify such impacts. A first analysis, linking climate change to the hydrologic cycle, studied through the computation of the hydro-climatic intensity index (as defined by Giorgi et al., 2012), suggests for the Marche Region an increase of the intensity of

  16. Assessing Impacts of Disturbances and Climate Change on Carbon Stocks in Mexican Semidry Forests of the Yucatan Peninsula

    NASA Astrophysics Data System (ADS)

    Dai, Z.; Birdsey, R.; Johnson, K.; Dupuy, J. M.; Hernandez-Stefanoni, J. L.; Richardson, K.

    2014-12-01

    The spatially explicit biogeochemical model Forest-DNDC was used to estimate carbon dynamics with disturbances and climate change in secondary semidry forests in Yucatan Peninsula. The model was validated using observations from 276 field plots in a 350 km2 region of semi-deciduous forest surrounding the intensive monitoring site at Kaxil Kiuic, and it performed well with high performance efficiency (E=0.79, R2=0.83). The simulation results showed substantial spatial differences in biomass in the forests due to historical disturbance patterns and heterogeneous forest environments. The simulated impacts of the disturbances that occurred from 1998-2010 revealed an estimated loss of total biomass carbon storage of 154.7 Gg due mainly to about 12 km2 of forestland loss. The results from disturbance scenarios indicate that disastrous storms, which are not uncommon in the Yucatan Peninsula, can substantially impact carbon storage in a short time. However, warming can produce a long-term impact on carbon sequestration, due principally to the decrease in biomass carbon at a mean rate of over 100 kg ha-1yr-1 with an increase in temperature by 1 degree Celsius. The forests in this area are highly sensitive to warming due to a semidry climate where the evapotranspiration is higher than precipitation. Even if each degree of warming increase is accompanied by an increase in precipitation of 10%, the significant impact of warming cannot be dismissed.

  17. An integrated framework to assess adaptation options to climate change impacts in an irrigated basin in Central North Chile

    NASA Astrophysics Data System (ADS)

    Vicuna, S.; Melo, O.; Meza, F. J.; Alvarez, P.; Maureira, F.; Sanchez, A.; Tapia, A.; Cortes, M.; Dale, L. L.

    2013-12-01

    Future climate conditions could potentially affect water supply and demand on water basins throughout the world but especially on snowmelt-driven agriculture oriented basins that can be found throughout central Chile. Increasing temperature and reducing precipitation will affect both the magnitude and timing of water supply this part of the world. Different adaptation strategies could be implemented to reduce the impacts of such scenarios. Some could be incorporated as planned policies decided at the basin or Water Use Organization levels. Examples include changing large scale irrigation infrastructure (reservoirs and main channels) either physically or its operation. Complementing these strategies it is reasonable to think that at a disaggregated level, farmers would also react (adapt) to these new conditions using a mix of options to either modify their patterns of consumption (irrigation efficiency, crop mix, crop area reduction), increase their ability to access new sources of water (groundwater, water markets) or finally compensate their expected losses (insurance). We present a modeling framework developed to represent these issues using as a case study the Limarí basin located in Central Chile. This basin is a renowned example of how the development of reservoirs and irrigation infrastructure can reduce climate vulnerabilities allowing the economic development of a basin. Farmers in this basin tackle climate variability by adopting different strategies that depend first on the reservoir water volume allocation rule, on the type and size of investment they have at their farms and finally their potential access to water markets and other water supplies options. The framework developed can be used to study these strategies under current and future climate scenarios. The cornerstone of the framework is an hydrology and water resources model developed on the WEAP platform. This model is able to reproduce the large scale hydrologic features of the basin such as

  18. Assessment of climate change and increased atmospheric CO2 impacts on water quality in an intensive agricultural headwater catchment

    NASA Astrophysics Data System (ADS)

    Salmon-Monviola, Jordy; Moreau, Pierre; Benhamou, Cyril; Durand, Patrick; Merot, Philippe; Oehler, François; Gascuel-Odoux, Chantal

    2013-04-01

    Climate change and increasing atmospheric CO2 concentration can lead to disturbances in the global hydrological and nitrogen (N) cycling, and losses in catchment systems. Potential impacts on water and N cycling have been studied in large catchments with a variety of land uses but less attention has focused on agricultural headwater catchments. Despite their relatively small dimensions, headwater catchments of 1-10 km² play a dominant role in N transformations in the landscape, and streams in such catchments may have major impacts on downstream water quantity and quality. This issue is particular important for agricultural catchment which have to reach the WFD targets, where land use changes has to be analysed in combination with climate change. The effects of climate change and rising concentrations of atmospheric CO2 have been studied on (1) changes in hydrological and N balance components on a yearly basis and (2) the seasonal dynamics of water and N fluxes. The spatially distributed agro-hydrological model TNT2 (Topography-based nitrogen Transfers and Transformations) driven by ARPEGE (Action de Recherche Petite Echelle Grande Echelle) climate-model outputs from A1B scenario have been applied on the Kervidy-Naizin headwater catchment (western France), a long term hydrological observatory. Consideration of atmospheric CO2 concentration was implemented at two levels in TNT2: i) to account for the CO2 effect on stomatal conductance TNT2; ii) to consider effect of CO2 on biomass growth. Climate data from ARPEGE model, corrected with the quantile-quantile bias correction method, over 30-year simulation periods were used as TNT2 input (Salmon-Monviola et al., in review). With increased CO2, the main trends in water balance were a significant decrease in annual actual evapotranspiration, a moderate decrease in annual discharge and wetland extent, and a decrease in spring and summer of groundwater recharge and soil water content. Not considering the effects of

  19. High Performance Computing-based Assessment of the Impacts of Climate Change on the Santa Cruz and San Pedro River Basin at Very High Resolution

    NASA Astrophysics Data System (ADS)

    Robles-Morua, A.; Vivoni, E. R.; Rivera-Fernandez, E. R.; Dominguez, F.; Meixner, T.

    2012-12-01

    Assessing the impact of climate change on large river basins in the southwestern United States is important given the natural water scarcity in the region. The bimodal distribution of annual precipitation also presents a challenge as differential climate impacts during the winter and summer seasons are not currently well understood. In this work, we focus on the hydrological consequences of climate change in the Santa Cruz and San Pedro river basins along the Arizona-Sonora border at high spatiotemporal resolutions (~100 m and ~1 hour). These river systems support rich ecological communities along riparian corridors that provide habitat to migratory birds and support recreational and economic activities. Determining the climate impacts on riparian communities involves assessing how river flows and groundwater recharge will change with altered temperature and precipitation regimes. In this study, we use a distributed hydrologic model, known as the TIN-based Real-time Integrated Basin Simulator (tRIBS), to generate simulated hydrological fields under historical (1991-2000) and climate change (2031-2040) scenarios obtained from an application of the Weather Research and Forecast (WRF) model. Using the distributed model, we transform the meteorological scenarios from WRF at 10-km, hourly resolution into predictions of the annual water budget, seasonal land surface fluxes and individual hydrographs of flood and recharge events. For this contribution, we selected two full years in the historical period and in the future scenario that represent wet and dry conditions for each decade. Given the size of the two basins, we rely on a high performance computing platform and a parallel domain discretization using sub-basin partitioning with higher resolutions maintained at experimental catchments in each river basin. Model simulations utilize best-available data across the Arizona-Sonora border on topography, land cover and soils obtained from analysis of remotely

  20. Climate Change Assessment for the Baltic Sea Basin

    NASA Astrophysics Data System (ADS)

    Reckermann, Marcus; von Storch, Hans; Isemer, Hans-Jörg

    2008-04-01

    The Fourth Assessment Report of the Intergovernmental Panel on Climate Change [IPCC, 2007] has had a big impact on the public perception and acknowledgment of global climate change. However, regional climate change assessments are urgently needed to complement the big picture with regional results and scenarios of higher resolution, which local decision makers and stakeholders can use [Visbeck, 2008; von Storch and Meinke, 2008].

  1. Assessing reservoir operations risk under climate change

    USGS Publications Warehouse

    Brekke, L.D.; Maurer, E.P.; Anderson, J.D.; Dettinger, M.D.; Townsley, E.S.; Harrison, A.; Pruitt, T.

    2009-01-01

    Risk-based planning offers a robust way to identify strategies that permit adaptive water resources management under climate change. This paper presents a flexible methodology for conducting climate change risk assessments involving reservoir operations. Decision makers can apply this methodology to their systems by selecting future periods and risk metrics relevant to their planning questions and by collectively evaluating system impacts relative to an ensemble of climate projection scenarios (weighted or not). This paper shows multiple applications of this methodology in a case study involving California's Central Valley Project and State Water Project systems. Multiple applications were conducted to show how choices made in conducting the risk assessment, choices known as analytical design decisions, can affect assessed risk. Specifically, risk was reanalyzed for every choice combination of two design decisions: (1) whether to assume climate change will influence flood-control constraints on water supply operations (and how), and (2) whether to weight climate change scenarios (and how). Results show that assessed risk would motivate different planning pathways depending on decision-maker attitudes toward risk (e.g., risk neutral versus risk averse). Results also show that assessed risk at a given risk attitude is sensitive to the analytical design choices listed above, with the choice of whether to adjust flood-control rules under climate change having considerably more influence than the choice on whether to weight climate scenarios. Copyright 2009 by the American Geophysical Union.

  2. Assessing reservoir operations risk under climate change

    NASA Astrophysics Data System (ADS)

    Brekke, Levi D.; Maurer, Edwin P.; Anderson, Jamie D.; Dettinger, Michael D.; Townsley, Edwin S.; Harrison, Alan; Pruitt, Tom

    2009-04-01

    Risk-based planning offers a robust way to identify strategies that permit adaptive water resources management under climate change. This paper presents a flexible methodology for conducting climate change risk assessments involving reservoir operations. Decision makers can apply this methodology to their systems by selecting future periods and risk metrics relevant to their planning questions and by collectively evaluating system impacts relative to an ensemble of climate projection scenarios (weighted or not). This paper shows multiple applications of this methodology in a case study involving California's Central Valley Project and State Water Project systems. Multiple applications were conducted to show how choices made in conducting the risk assessment, choices known as analytical design decisions, can affect assessed risk. Specifically, risk was reanalyzed for every choice combination of two design decisions: (1) whether to assume climate change will influence flood-control constraints on water supply operations (and how), and (2) whether to weight climate change scenarios (and how). Results show that assessed risk would motivate different planning pathways depending on decision-maker attitudes toward risk (e.g., risk neutral versus risk averse). Results also show that assessed risk at a given risk attitude is sensitive to the analytical design choices listed above, with the choice of whether to adjust flood-control rules under climate change having considerably more influence than the choice on whether to weight climate scenarios.

  3. I-C-SEA Change: A participatory tool for rapid assessment of vulnerability of tropical coastal communities to climate change impacts.

    PubMed

    Licuanan, Wilfredo Y; Samson, Maricar S; Mamauag, Samuel S; David, Laura T; Borja-Del Rosario, Roselle; Quibilan, Miledel Christine C; Siringan, Fernando P; Sta Maria, Ma Yvainne Y; España, Norievill B; Villanoy, Cesar L; Geronimo, Rollan C; Cabrera, Olivia C; Martinez, Renmar Jun S; Aliño, Porfirio M

    2015-12-01

    We present a synoptic, participatory vulnerability assessment tool to help identify the likely impacts of climate change and human activity in coastal areas and begin discussions among stakeholders on the coping and adaptation measures necessary to minimize these impacts. Vulnerability assessment tools are most needed in the tropical Indo-Pacific, where burgeoning populations and inequitable economic growth place even greater burdens on natural resources and support ecosystems. The Integrated Coastal Sensitivity, Exposure, and Adaptive Capacity for Climate Change (I-C-SEA Change) tool is built around a series of scoring rubrics to guide non-specialists in assigning scores to the sensitivity and adaptive capacity components of vulnerability, particularly for coral reef, seagrass, and mangrove habitats, along with fisheries and coastal integrity. These scores are then weighed against threat or exposure to climate-related impacts such as marine flooding and erosion. The tool provides opportunities for learning by engaging more stakeholders in participatory planning and group decision-making. It also allows for information to be collated and processed during a "town-hall" meeting, facilitating further discussion, data validation, and even interactive scenario building.

  4. Climate change and coastal vulnerability assessment: Scenarios for integrated assessment

    USGS Publications Warehouse

    Nicholls, R.J.; Wong, P.P.; Burkett, V.; Woodroffe, C.D.; Hay, J.

    2008-01-01

    Coastal vulnerability assessments still focus mainly on sea-level rise, with less attention paid to other dimensions of climate change. The influence of non-climatic environmental change or socio-economic change is even less considered, and is often completely ignored. Given that the profound coastal changes of the twentieth century are likely to continue through the twenty-first century, this is a major omission, which may overstate the importance of climate change, and may also miss significant interactions of climate change with other non-climate drivers. To better support climate and coastal management policy development, more integrated assessments of climatic change in coastal areas are required, including the significant non-climatic changes. This paper explores the development of relevant climate and non-climate drivers, with an emphasis on the non-climate drivers. While these issues are applicable within any scenario framework, our ideas are illustrated using the widely used SRES scenarios, with both impacts and adaptation being considered. Importantly, scenario development is a process, and the assumptions that are made about future conditions concerning the coast need to be explicit, transparent and open to scientific debate concerning their realism and likelihood. These issues are generic across other sectors. ?? Integrated Research System for Sustainability Science and Springer 2008.

  5. Evaluating the impact of climate policies on regional food availability and accessibility using an Integrated Assessment Model

    NASA Astrophysics Data System (ADS)

    Gilmore, E.; Cui, Y. R.; Waldhoff, S.

    2015-12-01

    Beyond 2015, eradicating hunger will remain a critical part of the global development agenda through the Sustainable Development Goals (SDG). Efforts to limit climate change through both mitigation of greenhouse gas emissions and land use policies may interact with food availability and accessibility in complex and unanticipated ways. Here, we develop projections of regional food accessibility to 2050 under the alternative futures outlined by the Shared Socioeconomic Pathways (SSPs) and under different climate policy targets and structures. We use the Global Change Assessment Model (GCAM), an integrated assessment model (IAM), for our projections. We calculate food access as the weighted average of consumption of five staples and the portion of income spend on those commodities and extend the GCAM calculated universal global producer price to regional consumer prices drawing on historical relationships of these prices. Along the SSPs, food access depends largely on expectations of increases in population and economic status. Under a more optimistic scenario, the pressures on food access from increasing demand and rising prices can be counterbalanced by faster economic development. Stringent climate policies that increase commodity prices, however, may hinder vulnerable regions, namely Sub-Saharan Africa, from achieving greater food accessibility.

  6. Climate Assessment for 1997.

    NASA Astrophysics Data System (ADS)

    Bell, Gerald D.; Halpert, Michael S.

    1998-05-01

    The global climate during 1997 was affected by both extremes of the El Niño-Southern Oscillation (ENSO), with weak Pacific cold episode conditions prevailing during January and February, and one of the strongest Pacific warm episodes (El Niño) in the historical record prevailing during the remainder of the year. This warm episode contributed to major regional rainfall and temperature anomalies over large portions of the Tropics and extratropics, which were generally consistent with those observed during past warm episodes. In many regions, these anomalies were opposite to those observed during 1996 and early 1997 in association with Pacific cold episode conditions.Some of the most dramatic El Niño impacts during 1997 were observed in the Tropics, where anomalous convection was evident across the entire Pacific and throughout most major monsoon regions of the world. Tropical regions most affected by excessive El Niño-related rainfall during the year included 1) the eastern half of the tropical Pacific, where extremely heavy rainfall and strong convective activity covered the region from April through December; 2) equatorial eastern Africa, where excessive rainfall during OctoberDecember led to widespread flooding and massive property damage; 3) Chile, where a highly amplified and extended South Pacific jet stream brought increased storminess and above-normal rainfall during the winter and spring; 4) southeastern South America, where these same storms produced above-normal rainfall during JuneDecember; and 5) Ecuador and northern Peru, which began receiving excessive rainfall totals in November and December as deep tropical convection spread eastward across the extreme eastern Pacific.In contrast, El Niño-related rainfall deficits during 1997 included 1) Indonesia, where significantly below-normal rainfall from June through December resulted in extreme drought and contributed to uncontrolled wildfires; 2) New Guinea, where drought contributed to large-scale food

  7. Climate Change Impact Assessment in Pacific North West Using Copula based Coupling of Temperature and Precipitation variables

    NASA Astrophysics Data System (ADS)

    Qin, Y.; Rana, A.; Moradkhani, H.

    2014-12-01

    The multi downscaled-scenario products allow us to better assess the uncertainty of the changes/variations of precipitation and temperature in the current and future periods. Joint Probability distribution functions (PDFs), of both the climatic variables, might help better understand the interdependence of the two, and thus in-turn help in accessing the future with confidence. Using the joint distribution of temperature and precipitation is also of significant importance in hydrological applications and climate change studies. In the present study, we have used multi-modelled statistically downscaled-scenario ensemble of precipitation and temperature variables using 2 different statistically downscaled climate dataset. The datasets used are, 10 Global Climate Models (GCMs) downscaled products from CMIP5 daily dataset, namely, those from the Bias Correction and Spatial Downscaling (BCSD) technique generated at Portland State University and from the Multivariate Adaptive Constructed Analogs (MACA) technique, generated at University of Idaho, leading to 2 ensemble time series from 20 GCM products. Thereafter the ensemble PDFs of both precipitation and temperature is evaluated for summer, winter, and yearly periods for all the 10 sub-basins across Columbia River Basin (CRB). Eventually, Copula is applied to establish the joint distribution of two variables enabling users to model the joint behavior of the variables with any level of correlation and dependency. Moreover, the probabilistic distribution helps remove the limitations on marginal distributions of variables in question. The joint distribution is then used to estimate the change trends of the joint precipitation and temperature in the current and future, along with estimation of the probabilities of the given change. Results have indicated towards varied change trends of the joint distribution of, summer, winter, and yearly time scale, respectively in all 10 sub-basins. Probabilities of changes, as estimated

  8. Climate Change Impacts for the Conterminous USA: An Integrated Assessment Part 3. Dryland Production of Grain and Forage Crops

    SciTech Connect

    Thomson, Allison M.; Brown, Robert A.; Rosenberg, Norman J.; Izaurralde, Roberto C.; Benson, Verel W.

    2005-05-31

    Here we simulate dryland agriculture in the United States with a suite of climate change projections. The total production of three major grain crops (corn, soybean, winter wheat) and two forage crops (alfalfa and clover hay) is calculated based on the Core Production Area (CPA) of each crop. Changes in production occur with each of the crops. In general, higher global mean temperature (GMT) reduces production and higher atmospheric CO2 increases production. The results varied depending on the General Circulation Model (GCM) used to simulate climate. Regional production followed trends similar to national production, but the magnitude of change was variable and substantially larger in some regions. An analysis of Currently Possible Production Areas (CPPA) for each crop indicates that the regions most likely to experience change with climate change are those on the edge of the area where the crop is currently grown. While national production of dryland agriculture does not change drastically, it is apparent that the regional impacts may be significant.

  9. Assessing the Impacts of Climate and Land Use Change on Streamflow and Nutrient Loading in the Arroyo Colorado Watershed in Southern Texas

    NASA Astrophysics Data System (ADS)

    Osidele, O.; Sun, A.; Green, R.

    2011-12-01

    Based on results of the Second National Climate Assessment reported in 2009, the U.S. Global Change Research Program projects temperatures in southern Texas will increase 5 to 8° F by the end of the 21st century, with larger changes occurring under scenarios of higher greenhouse gas emissions. Temperature increases in summer are projected to be larger than in winter. Although drier conditions are expected in the region, sea-level rise, extreme rainfall events, and associated storm surges are projected to occur more frequently because of the likely increase in intensity of hurricanes and tropical storms in the Gulf of Mexico. The range of possible responses to climate change is attributable to a combination of characteristics at global, regional, and local scales. The risk of flooding and catastrophic infrastructure damage due to global climate phenomena has been incorporated into local climate adaptation plans for many low-lying areas and communities in the Gulf Coast region of southern Texas. However, because this region is dominated by irrigated agriculture and the population is projected to double by 2050, it is important to examine how climate change will affect water resources and environmental quality. The purpose of this study is to investigate the potential hydrologic and water quality impacts of projected climate change, land use change, and population change scenarios in the headwaters of the Arroyo Colorado. The results of this work will provide content for a web-based, collaborative geospatial decision support system being developed to support environmental management in the Arroyo Colorado Watershed. Presently, land use in the Arroyo Colorado Watershed is more than 50 percent agricultural and almost 25 percent residential with varying levels of urbanization. As a result, flow in the Arroyo Colorado is sustained primarily by discharge from municipal wastewater treatment facilities, irrigation return flows, and urban storm runoff. In this study

  10. Key landscape ecology metrics for assessing climate change adaptation options: rate of change and patchiness of impacts

    USGS Publications Warehouse

    López-Hoffman, Laura; Breshears, David D.; Allen, Craig D.; Miller, Marc L.

    2013-01-01

    Under a changing climate, devising strategies to help stakeholders adapt to alterations to ecosystems and their services is of utmost importance. In western North America, diminished snowpack and river flows are causing relatively gradual, homogeneous (system-wide) changes in ecosystems and services. In addition, increased climate variability is also accelerating the incidence of abrupt and patchy disturbances such as fires, floods and droughts. This paper posits that two key variables often considered in landscape ecology—the rate of change and the degree of patchiness of change—can aid in developing climate change adaptation strategies. We use two examples from the “borderland” region of the southwestern United States and northwestern Mexico. In piñon-juniper woodland die-offs that occurred in the southwestern United States during the 2000s, ecosystem services suddenly crashed in some parts of the system while remaining unaffected in other locations. The precise timing and location of die-offs was uncertain. On the other hand, slower, homogeneous change, such as the expected declines in water supply to the Colorado River delta, will likely impact the entire ecosystem, with ecosystem services everywhere in the delta subject to alteration, and all users likely exposed. The rapidity and spatial heterogeneity of faster, patchy climate change exemplified by tree die-off suggests that decision-makers and local stakeholders would be wise to operate under a Rawlsian “veil of ignorance,” and implement adaptation strategies that allow ecosystem service users to equitably share the risk of sudden loss of ecosystem services before actual ecosystem changes occur. On the other hand, in the case of slower, homogeneous, system-wide impacts to ecosystem services as exemplified by the Colorado River delta, adaptation strategies can be implemented after the changes begin, but will require a fundamental rethinking of how ecosystems and services are used and valued. In

  11. Impacts Of Climate Change On Ecosystems Management In Africa: An Assessment Of Disaster Risk Management And Adaptation

    NASA Astrophysics Data System (ADS)

    Ndebele-Murisa, M. R.

    2015-12-01

    This paper is a synthesis of eight studies which demonstrate the interface between disaster risk management (DRM) and adaptation. The studies; conducted from November 2011 to July 2012 included diverse ecosystems from forests, coastlines, rural areas to a lake region and showed that climate change/variability are major factors among other factors such as deforestation and land degradation, unsustainable land use practices, overharvesting of natural products and invasive species encroachment that are causing changes in ecosystems. The most common extreme events reported included shifts in and shorter rainfall seasons, extended droughts, increased temperatures, extreme heat, heavy rainfall, flooding, inundation, strong winds and sea level rises. As a result of these climate phenomena, adverse impacts on ecosystems and communities were reported as biodiversity loss, reduced fish catch, reduced water for forests/agriculture/consumption, increased rough waves, coastal erosion/sediment deposition and lastly land/mud slides in order of commonality. In response to these impacts communities are practicing coping and adaptation strategies but there is a huge gap between proper DRM and adaptation. This is mainly because the adaptation is practiced as an aftermath with very little effort propelled towards proactive DRM or preparedness. In addition, national level policies are archaic and do not address the current environmental changes. This was demonstrated in Togo where wood energy potential is deteriorating at an unprecedented rate but is projected to increase between 6.4% and 101% in the near and far future if the national forest action plans are implemented; preventing an energy crisis in the country. This shows that appropriate legal and policy frameworks and well planned responses to projected extreme events and climate changes are crucial in order to prevent disasters and to achieve sustainable utilisation of resources in the continent.

  12. Estimation of Sub-daily Extreme Precipitation to Assess Climate Change Impact on Floods of Han River Basin in South Korea

    NASA Astrophysics Data System (ADS)

    Nam, W.; Shin, J.; Um, M.; Kim, W.; Heo, J.

    2011-12-01

    Sub-daily extreme precipitation for a specified duration and return period is used in the estimation of floods for design purposes. Recent researches show that climate change has impact on the precipitation process at different temporal and spatial scales. The present paper is focused on climate change impact on floods of Han River basin in South Korea. Climate change simulation outputs from 5 GCMs under the A2 scenario were used to estimate daily extreme precipitations. Sub-daily extreme precipitations were estimated using the scale-invariance concept. In order to assess sub-daily extreme precipitations from climate change simulation outputs, precipitation time series were generated based on NSRPM (Neyman-Scott Rectangular Pulse Model) and modified using the ratio of precipitation over projection periods to historical one. Sub-daily extreme precipitations were then estimated from those series. Finally, peak flows were estimated for principal sites of Han River basin using HEC-1 model. It was found that floods in the future displayed increasing or decreasing trends for estimation methods of sub-daily extreme precipitation and different periods.

  13. Integrated Assessments of the Impact of Climate Change on Agriculture: An Overview of AgMIP Regional Research in South Asia

    NASA Technical Reports Server (NTRS)

    McDermid, Sonali P.; Dileepkumar, Guntuku; Murthy, K. M. Dakshina; Nedumaran, S.; Singh, Piara; Srinivasa, Chukka; Gangwar, B.; Subash, N.; Ahmad, Ashfaq; Zubair, Lareef; Nissanka, S. P.

    2015-01-01

    South Asia's growing population. In order to assess the future of food and livelihood security across South Asia, the Agricultural Model Intercomparison and Improvement Project (AgMIP) has undertaken integrated climate-crop-economic assessments of the impact of climate change on food security and poverty in South Asia, encompassing Bangladesh, India, Nepal, Pakistan, and Sri Lanka. AgMIP has funded, on a competitive basis, four South Asian regional research teams (RRTs) and one South Asian coordination team (CT) to undertake climate-crop-economic integrated assessments of food security for many districts in each of these countries, with the goal of characterizing the state of food security and poverty across the region, and projecting how these are subject to change under future climate change conditions.

  14. Conceptual Model of Climate Change Impacts at LANL

    SciTech Connect

    Dewart, Jean Marie

    2016-05-17

    Goal 9 of the LANL FY15 Site Sustainability Plan (LANL 2014a) addresses Climate Change Adaptation. As part of Goal 9, the plan reviews many of the individual programs the Laboratory has initiated over the past 20 years to address climate change impacts to LANL (e.g. Wildland Fire Management Plan, Forest Management Plan, etc.). However, at that time, LANL did not yet have a comprehensive approach to climate change adaptation. To fill this gap, the FY15 Work Plan for the LANL Long Term Strategy for Environmental Stewardship and Sustainability (LANL 2015) included a goal of (1) establishing a comprehensive conceptual model of climate change impacts at LANL and (2) establishing specific climate change indices to measure climate change and impacts at Los Alamos. Establishing a conceptual model of climate change impacts will demonstrate that the Laboratory is addressing climate change impacts in a comprehensive manner. This paper fulfills the requirement of goal 1. The establishment of specific indices of climate change at Los Alamos (goal 2), will improve our ability to determine climate change vulnerabilities and assess risk. Future work will include prioritizing risks, evaluating options/technologies/costs, and where appropriate, taking actions. To develop a comprehensive conceptual model of climate change impacts, we selected the framework provided in the National Oceanic and Atmospheric Administration (NOAA) Climate Resilience Toolkit (http://toolkit.climate.gov/).

  15. Projecting Climate Change Impacts on Wildfire Probabilities

    NASA Astrophysics Data System (ADS)

    Westerling, A. L.; Bryant, B. P.; Preisler, H.

    2008-12-01

    We present preliminary results of the 2008 Climate Change Impact Assessment for wildfire in California, part of the second biennial science report to the California Climate Action Team organized via the California Climate Change Center by the California Energy Commission's Public Interest Energy Research Program pursuant to Executive Order S-03-05 of Governor Schwarzenegger. In order to support decision making by the State pertaining to mitigation of and adaptation to climate change and its impacts, we model wildfire occurrence monthly from 1950 to 2100 under a range of climate scenarios from the Intergovernmental Panel on Climate Change. We use six climate change models (GFDL CM2.1, NCAR PCM1, CNRM CM3, MPI ECHAM5, MIROC3.2 med, NCAR CCSM3) under two emissions scenarios--A2 (C02 850ppm max atmospheric concentration) and B1(CO2 550ppm max concentration). Climate model output has been downscaled to a 1/8 degree (~12 km) grid using two alternative methods: a Bias Correction and Spatial Donwscaling (BCSD) and a Constructed Analogues (CA) downscaling. Hydrologic variables have been simulated from temperature, precipitation, wind and radiation forcing data using the Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model. We model wildfire as a function of temperature, moisture deficit, and land surface characteristics using nonlinear logistic regression techniques. Previous work on wildfire climatology and seasonal forecasting has demonstrated that these variables account for much of the inter-annual and seasonal variation in wildfire. The results of this study are monthly gridded probabilities of wildfire occurrence by fire size class, and estimates of the number of structures potentially affected by fires. In this presentation we will explore the range of modeled outcomes for wildfire in California, considering the effects of emissions scenarios, climate model sensitivities, downscaling methods, hydrologic simulations, statistical model specifications for

  16. 78 FR 56866 - National Climate Assessment and Development Advisory Committee (NCADAC)

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-09-16

    ... National Oceanic and Atmospheric Administration National Climate Assessment and Development Advisory... National Climate Assessment and Development Advisory Committee (NCADAC) was established by the Secretary of... science and information pertaining to current and future impacts of climate. Time and Date: The...

  17. FEASIBILITY STUDY OF CLIMATE CHANGE IMPACTS ON ...

    EPA Pesticide Factsheets

    The objective of this study is to explore the feasibility of studying potential effects of climate change on impairments resulting from nitrogen loadings in the salt water embayments of Cape Cod. The report includes a recommended plan for studying these impacts, an estimate of the costs and level of effort required; a tally of data, information, and modeling requirements; an assessment of the strengths and weaknesses of the plan; and recommendations for the appropriate use of results. Study to determine feasibility of studying climate change effects on nitrogen impaired estuarine embayments

  18. Climate impacts of Australian land cover change

    NASA Astrophysics Data System (ADS)

    Lawrence, P. J.

    2004-05-01

    Australian land cover has been dramatically altered since European settlement primarily for agricultural utilization, with native vegetation widely replaced or modified for cropping and intensive animal production. While there have been numerous investigations into the regional and near surface climate impacts of Australian land cover change, these investigation have not included the climate impacts of larger-scale changes in atmospheric circulation and their associated feedbacks, or the impacts of longer-term soil moisture feedbacks. In this research the CSIRO General Circulation Model (GCM) was used to investigate the climate impacts of Australian land cover change, with larger-scale and longer-term feedbacks. To avoid the common problem of overstating the magnitude and spatial extent of changes in land surface conditions prescribed in land cover change experiments, the current Australian land surface properties were described from finer-scale, satellite derived land cover datasets, with land surface conditions extrapolating from remnant native vegetation to pre-clearing extents to recreate the pre-clearing land surface properties. Aggregation rules were applied to the fine-scale data to generate the land surface parameters of the GCM, ensuring the equivalent sub-grid heterogeneity and land surface biogeophysics were captured in both the current and pre-clearing land surface parameters. The differences in climate simulated in the pre-clearing and current experiments were analyzed for changes in Australian continental and regional climate to assess the modeled climate impacts of Australian land cover change. The changes in modeled climate were compared to observed changes in Australian precipitation over the last 50 and 100 years to assess whether modeled results could be detected in the historical record. The differences in climate simulation also were analyzed at the global scale to assess the impacts of local changes on larger scale circulation and climate at

  19. Assessment of the APCC Coupled MME Suite in Predicting the Distinctive Climate Impacts of Two Flavors of ENSO during Boreal Winter

    NASA Technical Reports Server (NTRS)

    Jeong, Hye-In; Lee, Doo Young; Karumuri, Ashok; Ahn, Joong-Bae; Lee, June-Yi; Luo, Jing-Jia; Schemm, Jae-Kyung E.; Hendon, Harry H.; Braganza, Karl; Ham, Yoo-Geun

    2012-01-01

    Forecast skill of the APEC Climate Center (APCC) Multi-Model Ensemble (MME) seasonal forecast system in predicting two main types of El Nino-Southern Oscillation (ENSO), namely canonical (or cold tongue) and Modoki ENSO, and their regional climate impacts is assessed for boreal winter. The APCC MME is constructed by simple composite of ensemble forecasts from five independent coupled ocean-atmosphere climate models. Based on a hindcast set targeting boreal winter prediction for the period 19822004, we show that the MME can predict and discern the important differences in the patterns of tropical Pacific sea surface temperature anomaly between the canonical and Modoki ENSO one and four month ahead. Importantly, the four month lead MME beats the persistent forecast. The MME reasonably predicts the distinct impacts of the canonical ENSO, including the strong winter monsoon rainfall over East Asia, the below normal rainfall and above normal temperature over Australia, the anomalously wet conditions across the south and cold conditions over the whole area of USA, and the anomalously dry conditions over South America. However, there are some limitations in capturing its regional impacts, especially, over Australasia and tropical South America at a lead time of one and four months. Nonetheless, forecast skills for rainfall and temperature over East Asia and North America during ENSO Modoki are comparable to or slightly higher than those during canonical ENSO events.

  20. AgMIP's Transdisciplinary Agricultural Systems Approach to Regional Integrated Assessment of Climate Impacts, Vulnerability, and Adaptation

    NASA Technical Reports Server (NTRS)

    Antle, John M.; Valdivia, Roberto O.; Boote, Kenneth J.; Janssen, Sander; Jones, James W.; Porter, Cheryl H.; Rosenzweig, Cynthia; Ruane, Alexander C.; Thorburn, Peter J.

    2015-01-01

    This chapter describes methods developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) to implement a transdisciplinary, systems-based approach for regional-scale (local to national) integrated assessment of agricultural systems under future climate, biophysical, and socio-economic conditions. These methods were used by the AgMIP regional research teams in Sub-Saharan Africa and South Asia to implement the analyses reported in their respective chapters of this book. Additional technical details are provided in Appendix 1.The principal goal that motivates AgMIP's regional integrated assessment (RIA) methodology is to provide scientifically rigorous information needed to support improved decision-making by various stakeholders, ranging from local to national and international non-governmental and governmental organizations.

  1. Assessment of climate change impacts on watershed in cold-arid region: an integrated multi-GCM-based stochastic weather generator and stepwise cluster analysis method

    NASA Astrophysics Data System (ADS)

    Zhuang, X. W.; Li, Y. P.; Huang, G. H.; Liu, J.

    2016-07-01

    An integrated multi-GCM-based stochastic weather generator and stepwise cluster analysis (MGCM-SWG-SCA) method is developed, through incorporating multiple global climate models (MGCM), stochastic weather generator (SWG), and stepwise-clustered hydrological model (SCHM) within a general framework. MGCM-SWG-SCA can investigate uncertainties of projected climate changes as well as create watershed-scale climate projections from large-scale variables. It can also assess climate change impacts on hydrological processes and capture nonlinear relationship between input variables and outputs in watershed systems. MGCM-SWG-SCA is then applied to the Kaidu watershed with cold-arid characteristics in the Xinjiang Uyghur Autonomous Region of northwest China, for demonstrating its efficiency. Results reveal that the variability of streamflow is mainly affected by (1) temperature change during spring, (2) precipitation change during winter, and (3) both temperature and precipitation changes in summer and autumn. Results also disclose that: (1) the projected minimum and maximum temperatures and precipitation from MGCM change with seasons in different ways; (2) various climate change projections can reproduce the seasonal variability of watershed-scale climate series; (3) SCHM can simulate daily streamflow with a satisfactory degree, and a significant increasing trend of streamflow is indicated from future (2015-2035) to validation (2006-2011) periods; (4) the streamflow can vary under different climate change projections. The findings can be explained that, for the Kaidu watershed located in the cold-arid region, glacier melt is mainly related to temperature changes and precipitation changes can directly cause the variability of streamflow.

  2. Exploring Air-Climate-Energy Impacts with GCAM-USA

    EPA Science Inventory

    The Global Climate Assessment Model (GCAM) is a global integrated assessment model used for exploring future scenarios and examining strategies that address air pollution, climate change and energy (ACE) goals. My research focuseson integration of impact factors in GCAM-USA and a...

  3. Linking Biological Integrity and Watershed Models to Assess the Impacts of Historical Land Use and Climate Changes on Stream Health

    NASA Astrophysics Data System (ADS)

    Einheuser, Matthew D.; Nejadhashemi, A. Pouyan; Wang, Lizhu; Sowa, Scott P.; Woznicki, Sean A.

    2013-06-01

    Land use change and other human disturbances have significant impacts on physicochemical and biological conditions of stream systems. Meanwhile, linking these disturbances with hydrology and water quality conditions is challenged due to the lack of high-resolution datasets and the selection of modeling techniques that can adequately deal with the complex and nonlinear relationships of natural systems. This study addresses the above concerns by employing a watershed model to obtain stream flow and water quality data and fill a critical gap in data collection. The data were then used to estimate fish index of biological integrity (IBI) within the Saginaw Bay basin in Michigan. Three methods were used in connecting hydrology and water quality variables to fish measures including stepwise linear regression, partial least squares regression, and fuzzy logic. The IBI predictive model developed using fuzzy logic showed the best performance with the R 2 = 0.48. The variables that identified as most correlated to IBI were average annual flow, average annual organic phosphorus, average seasonal nitrite, average seasonal nitrate, and stream gradient. Next, the predictions were extended to pre-settlement (mid-1800s) land use and climate conditions. Results showed overall significantly higher IBI scores under the pre-settlement land use scenario for the entire watershed. However, at the fish sampling locations, there was no significant difference in IBI. Results also showed that including historical climate data have strong influences on stream flow and water quality measures that interactively affect stream health; therefore, should be considered in developing baseline ecological conditions.

  4. Climate change and coral reef bleaching: An ecological assessment of long-term impacts, recovery trends and future outlook

    NASA Astrophysics Data System (ADS)

    Baker, Andrew C.; Glynn, Peter W.; Riegl, Bernhard

    2008-12-01

    Since the early 1980s, episodes of coral reef bleaching and mortality, due primarily to climate-induced ocean warming, have occurred almost annually in one or more of the world's tropical or subtropical seas. Bleaching is episodic, with the most severe events typically accompanying coupled ocean-atmosphere phenomena, such as the El Niño-Southern Oscillation (ENSO), which result in sustained regional elevations of ocean temperature. Using this extended dataset (25+ years), we review the short- and long-term ecological impacts of coral bleaching on reef ecosystems, and quantitatively synthesize recovery data worldwide. Bleaching episodes have resulted in catastrophic loss of coral cover in some locations, and have changed coral community structure in many others, with a potentially critical influence on the maintenance of biodiversity in the marine tropics. Bleaching has also set the stage for other declines in reef health, such as increases in coral diseases, the breakdown of reef framework by bioeroders, and the loss of critical habitat for associated reef fishes and other biota. Secondary ecological effects, such as the concentration of predators on remnant surviving coral populations, have also accelerated the pace of decline in some areas. Although bleaching severity and recovery have been variable across all spatial scales, some reefs have experienced relatively rapid recovery from severe bleaching impacts. There has been a significant overall recovery of coral cover in the Indian Ocean, where many reefs were devastated by a single large bleaching event in 1998. In contrast, coral cover on western Atlantic reefs has generally continued to decline in response to multiple smaller bleaching events and a diverse set of chronic secondary stressors. No clear trends are apparent in the eastern Pacific, the central-southern-western Pacific or the Arabian Gulf, where some reefs are recovering and others are not. The majority of survivors and new recruits on

  5. Climate Change Effects on Heat- and Cold-Related Mortality in the Netherlands: A Scenario-Based Integrated Environmental Health Impact Assessment.

    PubMed

    Huynen, Maud M T E; Martens, Pim

    2015-10-23

    Although people will most likely adjust to warmer temperatures, it is still difficult to assess what this adaptation will look like. This scenario-based integrated health impacts assessment explores baseline (1981-2010) and future (2050) population attributable fractions (PAF) of mortality due to heat (PAFheat) and cold (PAFcold), by combining observed temperature-mortality relationships with the Dutch KNMI'14 climate scenarios and three adaptation scenarios. The 2050 model results without adaptation reveal a decrease in PAFcold (8.90% at baseline; 6.56%-7.85% in 2050) that outweighs the increase in PAFheat (1.15% at baseline; 1.66%-2.52% in 2050). When the 2050 model runs applying the different adaptation scenarios are considered as well, however, the PAFheat ranges between 0.94% and 2.52% and the PAFcold between 6.56% and 9.85%. Hence, PAFheat and PAFcold can decrease as well as increase in view of climate change (depending on the adaptation scenario). The associated annual mortality burdens in 2050-accounting for both the increasing temperatures and mortality trend-show that heat-related deaths will range between 1879 and 5061 (1511 at baseline) and cold-related deaths between 13,149 and 19,753 (11,727 at baseline). Our results clearly illustrate that model outcomes are not only highly dependent on climate scenarios, but also on adaptation assumptions. Hence, a better understanding of (the impact of various) plausible adaptation scenarios is required to advance future integrated health impact assessments.

  6. Climate Change Effects on Heat- and Cold-Related Mortality in the Netherlands: A Scenario-Based Integrated Environmental Health Impact Assessment

    PubMed Central

    Huynen, Maud M. T. E.; Martens, Pim

    2015-01-01

    Although people will most likely adjust to warmer temperatures, it is still difficult to assess what this adaptation will look like. This scenario-based integrated health impacts assessment explores baseline (1981–2010) and future (2050) population attributable fractions (PAF) of mortality due to heat (PAFheat) and cold (PAFcold), by combining observed temperature–mortality relationships with the Dutch KNMI’14 climate scenarios and three adaptation scenarios. The 2050 model results without adaptation reveal a decrease in PAFcold (8.90% at baseline; 6.56%–7.85% in 2050) that outweighs the increase in PAFheat (1.15% at baseline; 1.66%–2.52% in 2050). When the 2050 model runs applying the different adaptation scenarios are considered as well, however, the PAFheat ranges between 0.94% and 2.52% and the PAFcold between 6.56% and 9.85%. Hence, PAFheat and PAFcold can decrease as well as increase in view of climate change (depending on the adaptation scenario). The associated annual mortality burdens in 2050—accounting for both the increasing temperatures and mortality trend—show that heat-related deaths will range between 1879 and 5061 (1511 at baseline) and cold-related deaths between 13,149 and 19,753 (11,727 at baseline). Our results clearly illustrate that model outcomes are not only highly dependent on climate scenarios, but also on adaptation assumptions. Hence, a better understanding of (the impact of various) plausible adaptation scenarios is required to advance future integrated health impact assessments. PMID:26512680

  7. Climate change impacts on forestry

    SciTech Connect

    Kirilenko, A.P.; Sedjo, R.A.

    2007-12-11

    Changing temperature and precipitation pattern and increasing concentrations of atmospheric CO{sub 2} are likely to drive significant modifications in natural and modified forests. The authors' review is focused on recent publications that discuss the changes in commercial forestry, excluding the ecosystem functions of forests and nontimber forest products. They concentrate on potential direct and indirect impacts of climate change on forest industry, the projections of future trends in commercial forestry, the possible role of biofuels, and changes in supply and demand.

  8. Climate change impacts on forestry

    PubMed Central

    Kirilenko, Andrei P.; Sedjo, Roger A.

    2007-01-01

    Changing temperature and precipitation pattern and increasing concentrations of atmospheric CO2 are likely to drive significant modifications in natural and modified forests. Our review is focused on recent publications that discuss the changes in commercial forestry, excluding the ecosystem functions of forests and nontimber forest products. We concentrate on potential direct and indirect impacts of climate change on forest industry, the projections of future trends in commercial forestry, the possible role of biofuels, and changes in supply and demand. PMID:18077403

  9. Assessment of climate change impact on the fates of polycyclic aromatic hydrocarbons in the multimedia environment based on model prediction.

    PubMed

    Cai, Juan Juan; Song, Jee Hey; Lee, Yunah; Lee, Dong Soo

    2014-02-01

    The objective was to quantitatively understand the impacts of climate change (CC) under the A1B scenario on the contamination levels of 11 polycyclic aromatic hydrocarbons (PAHs) from pyrogenic sources in the environmental media based on model prediction. To predict the impacts of CC in South Korea, a revised version of KoEFT-PBTs, a dynamic multimedia model for persistent organic pollutants in South Korea, was used. Simulations were conducted for the period from 2000 to 2049 under the A1B scenario with the emission data for 2009 and the results for Seoul and Kangwon were compared to those under no climate change (NCC) scenario. Due to CC, the average of annual or monthly average concentration changes within a factor of two for the PAHs in air, soil and water. Time dependent comparison indicates that the maximum increase induced by CC in the monthly average concentration ranges from 10 to 10(2) in air and water. Change in advective flux due to wind speed difference between A1B and NCC dictates the change of the atmospheric PAHs levels while wet particle deposition due to rain rate difference contributes to some extent to the change of 5 and 6 ring PAHs. Whether the concentration change is positive or not depends primarily on the emission strength of internal sources relative to those in surrounding areas. The CC induced changes in atmospheric depositions and degradation rate in soil play a leading role in the change of soil concentration. In water, runoff and degradation are the key processes to the CC induced concentration change. Both in soil and water, the relative importance of individual key processes varies with PAHs. The difference between the two scenarios in wind speed and in rain rate shows stronger correlations with the concentration change than the temperature change.

  10. The 2008 California climate change assessment

    NASA Astrophysics Data System (ADS)

    Franco, G.

    2008-12-01

    In 2005, Governor Arnold Schwarzenegger signed Executive Order S-03-05, which laid the foundation for California's ambitious greenhouse gas mitigation reduction efforts. The 2020 goal is now codified in state law requiring bringing 2020 emissions to the 1990 levels. The Executive Order also mandates the preparation of biennial updates on the latest climate change science, potential impacts, and assessment of the state's efforts to manage its climate change risks through various adaptation options. In 2006, the first of these mandated scientific assessments (The Governor's Scenarios Report) was released. Based on new scientific studies conducted in the interim, the next assessment, the '2008 Governor's Scenarios Report' is currently in preparation. It has three principal goals: (1) to improve the assessment of climate changes for California and associated impacts on key physical and biological indicators; (2) to begin to translate these physical and biological impacts into sectoral economic impacts; and (3) to begin to develop and evaluate strategies for key sectors or regions for adapting to climate changes already underway. Contributors to this session will present some of this new research to the scientific community. Among the most exciting new insights are impacts assessments for the all-important water and agricultural sectors, coastal areas, public health and related air quality and environmental justice issues, the forestry and energy sectors. This presentation will give an overview of the overall effort which will result in about 35 scientific papers from different research institutions in California. All of the studies are interlinked in such a way as to produce a consistent overall assessment.

  11. Assessing the impacts induced by global climate change through a multi-risk approach: lessons learned from the North Adriatic coast (Italy)

    NASA Astrophysics Data System (ADS)

    Gallina, Valentina; Torressan, Silvia; Zabeo, Alex; Critto, Andrea; Glade, Thomas; Marcomini, Antonio

    2015-04-01

    Climate change is expected to pose a wide range of impacts on natural and human systems worldwide, increasing risks from long-term climate trends and disasters triggered by weather extremes. Accordingly, in the future, one region could be potentially affected by interactions, synergies and trade-offs of multiple hazards and impacts. A multi-risk risk approach is needed to effectively address multiple threats posed by climate change across regions and targets supporting decision-makers toward a new paradigm of multi-hazard and risk management. Relevant initiatives have been already developed for the assessment of multiple hazards and risks affecting the same area in a defined timeframe by means of quantitative and semi-quantitative approaches. Most of them are addressing the relations of different natural hazards, however, the effect of future climate change is usually not considered. In order to fill this gap, an advanced multi-risk methodology was developed at the Euro-Mediterranean Centre on Climate Change (CMCC) for estimating cumulative impacts related to climate change at the regional (i.e. sub-national) scale. This methodology was implemented into an assessment tool which allows to scan and classify quickly natural systems and human assets at risk resulting from different interacting hazards. A multi-hazard index is proposed to evaluate the relationships of different climate-related hazards (e.g. sea-level rise, coastal erosion, storm surge) occurring in the same spatial and temporal area, by means of an influence matrix and the disjoint probability function. Future hazard scenarios provided by regional climate models are used as input for this step in order to consider possible effects of future climate change scenarios. Then, the multi-vulnerability of different exposed receptors (e.g. natural systems, beaches, agricultural and urban areas) is estimated through a variety of vulnerability indicators (e.g. vegetation cover, sediment budget, % of urbanization

  12. The relative impact of climate change mitigation policies and socioeconomic drivers on water scarcity - An integrated assessment modeling approach

    NASA Astrophysics Data System (ADS)

    Hejazi, M. I.; Edmonds, J. A.; Clarke, L. E.; Kyle, P.; Davies, E. G.; Chaturvedi, V.; Patel, P.; Eom, J.; Wise, M.; Kim, S.; Calvin, K. V.; Moss, R. H.

    2012-12-01

    We investigate the relative effects of climate emission mitigation policies and socioeconomic drivers on water scarcity conditions over the 21st century both globally and regionally, by estimating both water availability and demand within a technologically-detailed global integrated assessment model of energy, agriculture, and climate change - the Global Change Assessment Model (GCAM). We first develop a global gridded monthly hydrologic model that reproduces historical streamflow observations and simulates the future availability of freshwater under both a changing climate and an evolving landscape, and incorporate this model into GCAM. We then develop and incorporate technologically oriented representations of water demands for the agricultural (irrigation and livestock), energy (electricity generation, primary energy production and processing), industrial (manufacturing and mining), and municipal sectors. The energy, industrial, and municipal sectors are represented in fourteen geopolitical regions, with the agricultural sector further disaggregated into as many as eighteen agro-ecological zones (AEZs) within each region. To perform the water scarcity analysis at the grid scale, the global water demands for the six demand sectors are spatially downscaled to 0.5 o x 0.5o resolution to match the scale of GWAM. The water scarcity index (WSI) compares total water demand to the total amount of renewable water available, and defines extreme water scarcity in any region as demand greater than 40% of total water availability. Using a reference scenario (i.e., no climate change mitigation policy) with radiative forcing reaching 8.8 W/m2 by 2095 and a global population of 14 billion, global annual water demand grows from about 9% of total annual renewable freshwater in 2005 to about 32% by 2095. This results in almost half of the world population living under extreme water scarcity by the end of the 21st century. Regionally, the demands for water exceed the total

  13. Climate impacts on Flanders' fields

    NASA Astrophysics Data System (ADS)

    Gobin, Anne

    2010-05-01

    During the past decade Belgium has experienced more monthly extremes than in any other decade since observations started in 1833. According to Global Circulation Model predictions, the frequency and magnitude of extreme weather events are likely to increase with climate change. Not only the frequency and magnitude of meteorological events but also their timing in relation to crop development and the physical environment will determine their impact. The implications of extreme weather events are demonstrated for the year with the lowest yields in the past decade for winter wheat (2001), winter barley (2003), potatoes (2006) and sugar beet (1998) in the agricultural regions of Flanders. Water stress, both drought and flooding, and heat stress seem the major factors that influence arable yields in Flanders. The unfavourable weather conditions during the growth season may be further aggravated by the physical environment. A bad year for one arable crop is not necessarily a bad year for another arable crop such that diversification within one farm may be a good strategy to cope with weather variability. Based on analysis of historical yield and weather data, a process-based dynamic vegetation model was designed to integrate the effects of crop management, weather and physical environment on crop growth. The model operates at a regional scale commensurate with regional climate models and capable of both capturing weather and climate variability impacts. Pronounced yield losses mainly due to water shortages and heat stress occur for all climate change scenarios, to a lesser extent in the case of winter cereals on loam soils. Root crops such as potatoes and sugar beet will experience increased drought stress particularly when the probability rises that sensitive crop development stages coincide with dry spells. This may be aggravated when wet springs cause water logging in the field and delay planting dates. Despite lower summer precipitation predictions for the future

  14. An enhanced archive facilitating climate impacts analysis

    USGS Publications Warehouse

    Maurer, E.P.; Brekke, L.; Pruitt, T.; Thrasher, B.; Long, J.; Duffy, P.; Dettinger, M.; Cayan, D.; Arnold, J.

    2014-01-01

    We describe the expansion of a publicly available archive of downscaled climate and hydrology projections for the United States. Those studying or planning to adapt to future climate impacts demand downscaled climate model output for local or regional use. The archive we describe attempts to fulfill this need by providing data in several formats, selectable to meet user needs. Our archive has served as a resource for climate impacts modelers, water managers, educators, and others. Over 1,400 individuals have transferred more than 50 TB of data from the archive. In response to user demands, the archive has expanded from monthly downscaled data to include daily data to facilitate investigations of phenomena sensitive to daily to monthly temperature and precipitation, including extremes in these quantities. New developments include downscaled output from the new Coupled Model Intercomparison Project phase 5 (CMIP5) climate model simulations at both the monthly and daily time scales, as well as simulations of surface hydrologi- cal variables. The web interface allows the extraction of individual projections or ensemble statistics for user-defined regions, promoting the rapid assessment of model consensus and uncertainty for future projections of precipitation, temperature, and hydrology. The archive is accessible online (http://gdo-dcp.ucllnl.org/downscaled_ cmip_projections).

  15. Climate Twins - a tool to explore future climate impacts by assessing real world conditions: Exploration principles, underlying data, similarity conditions and uncertainty ranges

    NASA Astrophysics Data System (ADS)

    Loibl, Wolfgang; Peters-Anders, Jan; Züger, Johann

    2010-05-01

    To achieve public awareness and thorough understanding about expected climate changes and their future implications, ways have to be found to communicate model outputs to the public in a scientifically sound and easily understandable way. The newly developed Climate Twins tool tries to fulfil these requirements via an intuitively usable web application, which compares spatial patterns of current climate with future climate patterns, derived from regional climate model results. To get a picture of the implications of future climate in an area of interest, users may click on a certain location within an interactive map with underlying future climate information. A second map depicts the matching Climate Twin areas according to current climate conditions. In this way scientific output can be communicated to the public which allows for experiencing climate change through comparison with well-known real world conditions. To identify climatic coincidence seems to be a simple exercise, but the accuracy and applicability of the similarity identification depends very much on the selection of climate indicators, similarity conditions and uncertainty ranges. Too many indicators representing various climate characteristics and too narrow uncertainty ranges will judge little or no area as regions with similar climate, while too little indicators and too wide uncertainty ranges will address too large regions as those with similar climate which may not be correct. Similarity cannot be just explored by comparing mean values or by calculating correlation coefficients. As climate change triggers an alteration of various indicators, like maxima, minima, variation magnitude, frequency of extreme events etc., the identification of appropriate similarity conditions is a crucial question to be solved. For Climate Twins identification, it is necessary to find a right balance of indicators, similarity conditions and uncertainty ranges, unless the results will be too vague conducting a

  16. Climate Impact Reporter: A New Tool for Archiving and Displaying Climate-related Impacts to Extreme Events

    NASA Astrophysics Data System (ADS)

    Umphlett, N.; Shulski, M.; Lahowetz, J.; Sorensen, W.

    2014-12-01

    The High Plains Regional Climate Center (HPRCC) has been providing users with custom climate services for over 25 years. Stakeholder needs in the High Plains Region have evolved over time from simple data requests to inquiries about the impacts of various climate-related events. At this time, climate impacts may be reported in numerous locations such as newspapers, scholarly journals, and extension articles. In order to meet the increasing demand for climate impact information, HPRCC is beta-testing an online tool which synthesizes, archives, and displays impacts related to extreme climate events from multiple sources. The tool is intended to fulfill the needs of two general types of users - those who need a place to archive climate impact information and those seeking such information. As such, there are two main components to the tool: 1) a back-end interface where an impact information database is populated and 2) a front-end interface where users may browse the impacts. On the front-end, users can select an area (i.e. river basin, state, county warning area) and search for climate-related impacts within that area. Key impacts include the following sectors: agriculture, ecosystems, energy, human health, society, transportation, and water resources. In this regard, information can also be useful for future National Climate Assessment activities. Ultimately, an understanding of impacts to extreme events by sector will provide critical information for improved decision-making and adaptation strategies.

  17. A novel integrated modelling framework to assess the impacts of climate and socio-economic drivers on land use and water quality.

    PubMed

    Zessner, Matthias; Schönhart, Martin; Parajka, Juraj; Trautvetter, Helene; Mitter, Hermine; Kirchner, Mathias; Hepp, Gerold; Blaschke, Alfred Paul; Strenn, Birgit; Schmid, Erwin

    2017-02-01

    Changes in climatic conditions will directly affect the quality and quantity of water resources. Further on, they will affect them indirectly through adaptation in land use which ultimately influences diffuse nutrient emissions to rivers and therefore potentially the compliance with good ecological status according to the EU Water Framework Directive (WFD). We present an integrated impact modelling framework (IIMF) to track and quantify direct and indirect pollution impacts along policy-economy-climate-agriculture-water interfaces. The IIMF is applied to assess impacts of climatic and socio-economic drivers on agricultural land use (crop choices, farming practices and fertilization levels), river flows and the risk for exceedance of environmental quality standards for determination of the ecological water quality status in Austria. This article also presents model interfaces as well as validation procedures and results of single models and the IIMF with respect to observed state variables such as land use, river flow and nutrient river loads. The performance of the IIMF for calculations of river nutrient loads (120 monitoring stations) shows a Nash-Sutcliffe Efficiency of 0.73 for nitrogen and 0.51 for phosphorus. Most problematic is the modelling of phosphorus loads in the alpine catchments dominated by forests and mountainous landscape. About 63% of these catchments show a deviation between modelled and observed loads of 30% and more. In catchments dominated by agricultural production, the performance of the IIMF is much better as only 30% of cropland and 23% of permanent grassland dominated areas have a deviation of >30% between modelled and observed loads. As risk of exceedance of environmental quality standards is mainly recognized in catchments dominated by cropland, the IIMF is well suited for assessing the nutrient component of the WFD ecological status.

  18. Assessing the impacts of climate change in Mediterranean catchments under conditions of data scarcity - The Gaza case study

    NASA Astrophysics Data System (ADS)

    Gampe, David; Ludwig, Ralf

    2013-04-01

    According to current climate projections, Mediterranean countries are at high risk for an even pronounced susceptibility to changes in the hydrological budget and extremes. While there is scientific consensus that climate induced changes on the hydrology of Mediterranean regions are presently occurring and are projected to amplify in the future, very little knowledge is available about the quantification of these changes, which is hampered by a lack of suitable and cost effective hydrological monitoring and modeling systems. The European FP7-project CLIMB is aiming to analyze climate induced changes on the hydrology of the Mediterranean Basins by investigating seven test sites located in the countries Italy, France, Turkey, Tunisia, Gaza and Egypt. CLIMB employs a combination of novel geophysical field monitoring concepts, remote sensing techniques and integrated hydrologic modeling to improve process descriptions and understanding and to quantify existing uncertainties in climate change impact analysis. One of those seven sites is the Gaza Strip, located in the Eastern Mediterranean and part of the Palestinian Autonomous Area, covers an area of 365km² with a length of 35km and 6 to 12km in width. Elevation ranges from sea level up to 104m in the East of the test site. Mean annual precipitation varies from 235mm in the South to 420mm in the North of the area. The inter annual variability of rainfall and the rapid population growth in an highly agricultural used area represent the major challenges in this area. The physically based Water Simulation Model WaSiM Vers. 2 (Schulla & Jasper (1999)) is setup to model current and projected future hydrological conditions. The availability of measured meteorological and hydrological data is poor as common to many Mediterranean catchments. The lack of available measured input data hampers the calibration of the model setup and the validation of model outputs. WaSiM was driven with meteorological forcing taken from 4

  19. Assessment of Projected Temperature Impacts from Climate Change on the U.S. Electric Power Sector Using the Integrated Planning Model

    EPA Science Inventory

    The energy sector is considered to be one of the most vulnerable to climate change. This study is a first-order analysis of the potential climate change impacts on the U.S. electric power sector, measuring the energy, environmental, and economic impacts of power system changes du...

  20. Burden Sharing with Climate Change Impacts

    NASA Astrophysics Data System (ADS)

    Tavoni, M.; van Vuuren, D.; De Cian, E.; Marangoni, G.; Hof, A.

    2014-12-01

    Efficiency and equity have been at the center of the climate change policy making since the very first international environmental agreements on climate change, though over time how to implement these principles has taken different forms. Studies based on Integrated Assessment Models have also shown that the economic effort of achieving a 2 degree target in a cost-effective way would differ widely across regions (Tavoni et al. 2013) because of diverse economic and energy structure, baseline emissions, energy and carbon intensity. Policy instruments, such as a fully-fledged, global emission trading schemes can be used to pursuing efficiency and equity at the same time but the literature has analyzed the compensations required to redistribute only mitigation costs. However, most of these studies have neglected the potential impacts of climate change. In this paper we use two integrated assessment models -FAIR and WITCH- to explore the 2°C policy space when accounting for climate change impacts. Impacts are represented via two different reduced forms equations, which despite their simplicity allows us exploring the key sensitivities- Our results show that in a 2 degree stabilization scenarios residual damages remain significant (see Figure 1) and that if you would like to compensate those as part of an equal effort scheme - this would lead to a different allocation than focusing on a mitigation based perspective only. The residual damages and adaptation costs are not equally distributed - and while we do not cover the full uncertainty space - with 2 different models and 2 sets of damage curves we are still able to show quite similar results in terms of vulnerable regions and the relative position of the different scenarios. Therefore, accounting for the residual damages and the associated adaptation costs on top of the mitigation burden increases and redistributes the full burden of total climate change.

  1. Integrated assessment of the impact of climate and land use changes on groundwater quantity and quality in the Mancha Oriental system (Spain)

    NASA Astrophysics Data System (ADS)

    Pulido-Velazquez, M.; Peña-Haro, S.; García-Prats, A.; Mocholi-Almudever, A. F.; Henriquez-Dole, L.; Macian-Sorribes, H.; Lopez-Nicolas, A.

    2015-04-01

    Climate and land use change (global change) impacts on groundwater systems cannot be studied in isolation. Land use and land cover (LULC) changes have a great impact on the water cycle and contaminant production and transport. Groundwater flow and storage are changing in response not only to climatic changes but also to human impacts on land uses and demands, which will alter the hydrologic cycle and subsequently impact the quantity and quality of regional water systems. Predicting groundwater recharge and discharge conditions under future climate and land use changes is essential for integrated water management and adaptation. In the Mancha Oriental system (MOS), one of the largest groundwater bodies in Spain, the transformation from dry to irrigated lands during the last decades has led to a significant drop of the groundwater table, with the consequent effect on stream-aquifer interaction in the connected Jucar River. Understanding the spatial and temporal distribution of water quantity and water quality is essential for a proper management of the system. On the one hand, streamflow depletion is compromising the dependent ecosystems and the supply to the downstream demands, provoking a complex management issue. On the other hand, the intense use of fertilizer in agriculture is leading to locally high groundwater nitrate concentrations. In this paper we analyze the potential impacts of climate and land use change in the system by using an integrated modeling framework that consists in sequentially coupling a watershed agriculturally based hydrological model (Soil and Water Assessment Tool, SWAT) with a groundwater flow model developed in MODFLOW, and with a nitrate mass-transport model in MT3DMS. SWAT model outputs (mainly groundwater recharge and pumping, considering new irrigation needs under changing evapotranspiration (ET) and precipitation) are used as MODFLOW inputs to simulate changes in groundwater flow and storage and impacts on stream

  2. Assessing the impacts of climate change and dams on floodplain inundation and wetland connectivity in the wet-dry tropics of northern Australia

    NASA Astrophysics Data System (ADS)

    Karim, Fazlul; Dutta, Dushmanta; Marvanek, Steve; Petheram, Cuan; Ticehurst, Catherine; Lerat, Julien; Kim, Shaun; Yang, Ang

    2015-03-01

    Floodplain wetlands and their hydrological connectivity with main river channels in the Australian wet-dry tropics are under increasing pressure from global climate change and water resource development, and there is a need for modelling tools to estimate the time dynamics of connectivity. This paper describes an integrated modelling framework combining conceptual rainfall-runoff modelling, river system modelling and hydrodynamic (HD) modelling to estimate hydrological connectivity between wetlands and rivers in the Flinders and Gilbert river catchments in northern Australia. Three historical flood events ranging from a mean annual flood to a 35-year return period flood were investigated using a two dimensional HD model (MIKE 21). Inflows from upstream catchments were estimated using a river network model. Local runoff within the HD modelling domain was simulated using the Sacramento rainfall-runoff model. The Shuttle Radar Topography Mission (SRTM) derived 30 m DEM was used to reproduce floodplain topography, stream networks and wetlands in the HD model. The HD model was calibrated using stream gauge data and inundation maps derived from satellite (MODIS: MODerate resolution Imaging Spectroradiometer) imagery. An algorithm was developed to combine the simulated water heights with the DEM to quantify inundation and flow connection between wetlands and rivers. The connectivity of 18 ecologically important wetlands on the Flinders floodplain and 7 on the Gilbert floodplain were quantified. The impacts of climate change and water resource development on connectivity to individual wetlands were assessed under a projected dry climate (2nd driest of 15 GCMs), wet climate (2nd wettest of 15 GCMs) and dam conditions. The results indicate that changes in rainfall under a wetter and drier future climate could have large impacts on area, duration and frequency of inundation and connectivity. Topographic relief, river bank elevation and flood magnitude were found to be the key

  3. Towards the assessment of climate change and human activities impacts on the water resources of the Ebro catchment (Spain)

    NASA Astrophysics Data System (ADS)

    Milano, M.; Ruelland, D.; Dezetter, A.; Ardoin-Bardin, S.; Thivet, G.; Servat, E.

    2012-04-01

    module has also been implemented in the model. The ability of water resources to satisfy the water demands is assessed by computing a water allocation index which depends on site priorities and supply preferences. This modelling framework was applied to eight sub-catchments, each one representative of typical climatic or water use conditions within the basin, over the 1971-1990 period. The results show the interest of integrated modelling to address water resources vulnerability. The hydrological response to climatic and anthropogenic variations witnesses the influence of both these pressures on water resources availability. Moreover, the water allocation index makes it possible to highlight the growing competition among users, especially during the summer season. The developed methodology hence provides us a more complete analysis to support decision-making compared to uncoupled analysis. This study is a first step towards evaluating future water resources availability and ability to satisfy water demands under climatic and anthropogenic pressures scenarios.

  4. Impacts of Climate Change on Ecosystem Services

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Ecosystems, and the biodiversity and services they support, are intrinsically dependent on climate. During the twentieth century, climate change has had documented impacts on ecological systems, and impacts are expected to increase as climate change continues and perhaps even accelerates. This techn...

  5. Soil Incubation Study to Assess the Impacts of Manure Application and Climate Change on Greenhouse Gas Emissions from Agricultural Soil

    NASA Astrophysics Data System (ADS)

    Schiavone, K.; Barbieri, L.; Adair, C.

    2015-12-01

    Agricultural fields in Vermont's Lake Champlain Basin have problems with the loss of nutrients due to runoff which creates eutrophic conditions in the lakes, ponds and rivers. In efforts to retain nitrogen and other nutrients in the soil farmers have started to inject manure rather than spraying it. Our understanding of the effects this might have on the volatilization of nitrogen into nitrous oxide is limited. Already, agriculture produces 69% of the total nitrous oxide emissions in the US. Understanding that climate change will affect the future of agriculture in Vermont, we set up a soil core incubation test to monitor the emissions of CO₂ and N₂O using a Photoacoustic Gas Sensor (PAS). Four 10 cm soil cores were taken from nine different fertilizer management plots in a No Till corn field; Three Injected plots, three Broadcast plots, and three Plow plots. Frozen soil cores were extracted in early April, and remained frozen before beginning the incubation experiment to most closely emulate three potential spring environmental conditions. The headspace was monitored over one week to get emission rates. This study shows that environmental and fertilizer treatments together do not have a direct correlation to the amount of CO₂ and N₂O emissions from agricultural soil. However, production of CO₂ was 26% more in warmer environmental conditions than in variable(freeze/thaw) environmental conditions. The injected fertilizer produced the most emissions, both CO₂ and N₂O. The total N₂O emissions from Injected soil cores were 2.2x more than from traditional broadcast manure cores. We believe this is likely due to the addition of rich organic matter under anaerobic soil conditions. Although, injected fertilizer is a better application method for reducing nutrient runoff, the global warming potential of N₂O is 298 times that of CO₂. With climate change imminent, assessing the harmful effects and benefits of injected fertilizer is a crucial next step in

  6. Assessing the impact of urbanization on urban climate by remote satellite perspective: a case study in Danang city, Vietnam

    NASA Astrophysics Data System (ADS)

    Hoang Khanh Linh, N.; Van Chuong, H.

    2015-04-01

    Urban climate, one of the challenges of human being in 21 century, is known as the results of land use/cover transformation. Its characteristics are distinguished by different varieties of climatic conditions in comparison with those of less built-up areas. The alterations lead to "Urban Heat Island", in which temperature in urban places is higher than surrounding environment. This happens not only in mega cities but also in less urbanized sites. The results determine the change of land use/cover and land surface temperature in Danang city by using multi-temporal Landsat and ASTER data for the period of 1990-2009. Based on the supervised classification method of maximum likelihood algorithm, satellite images in 1990, 2003, 2009 were classified into five classes: water, forest, shrub, agriculture, barren land and built-up area. For accuracy assessment, the error metric tabulations of mapped classes and reference classes were made. The Kappa statistics, derived from error matrices, were over 80% for all of land use maps. An comparison change detection algorithm was made in three intervals, 1990-2003, 2003-2009 and 1990-2009. The results showed that built-up area increased from 8.95% to 17.87% between 1990 and 2009, while agriculture, shrub and barren decreased from 12.98% to 7.53%, 15.72% to 9.89% and 3.88% to 1.77% due to urbanization that resulted from increasing of urban population and economic development, respectively. Land surface temperature (LST) maps were retrieved from thermal infrared bands of Landsat and ASTER data. The result indicated that the temperature in study area increased from 39oC to 41oC for the period of 1990-2009. Our analysis showed that built-up area had the highest LST values, whereas water bodies had the least LST. This study is expected to be useful for decision makers to make an appropriate land use planning which can mitigate the effect to urban climate.

  7. Linked models to assess the impacts of climate change on nitrogen in a Norwegian river basin and FJORD system.

    PubMed

    Kaste, Ø; Wright, R F; Barkved, L J; Bjerkeng, B; Engen-Skaugen, T; Magnusson, J; Saelthun, N R

    2006-07-15

    Dynamically downscaled data from two Atmosphere-Ocean General Circulation Models (AOGCMs), ECHAM4 from the Max-Planck Institute (MPI), Germany and HadAm3H from the Hadley Centre (HAD), UK, driven with two scenarios of greenhouse gas emissions (IS92a and A2, respectively) were used to make climate change projections. These projections were then used to drive four effect models linked to assess the effects on hydrology, and nitrogen (N) concentrations and fluxes, in the Bjerkreim river basin (685-km(2)) and its coastal fjord, southwestern Norway. The four effect models were the hydrological model HBV, the water quality models MAGIC, INCA-N and the NIVA FJORD model. The downscaled climate scenarios project a general temperature increase in the study region of approximately 1 degrees C by 2030-2049 (MPI IS92a) and approximately 3 degrees C by 2071-2100 (HAD A2). Both scenarios imply increased winter precipitation, whereas the projections of summer and autumn precipitation are quite different, with the MPI scenario projecting a slight increase and the HAD scenario a significant decrease. As a response to increased winter temperature, the HBV model simulates a dramatic reduction of snow accumulation in the upper parts of the catchment, which in turn lead to higher runoff during winter and lower runoff during snowmelt in the spring. With the HAD scenario, runoff in summer and early autumn is substantially reduced as a result of reduced precipitation, increased temperatures and thereby increased evapotranspiration. The water quality models, MAGIC and INCA-N project no major changes in nitrate (NO(3)(-)) concentrations and fluxes within the MPI scenario, but a significant increase in concentrations and a 40-50% increase in fluxes in the HAD scenario. As a consequence, the acidification of the river could increase, thus offsetting ongoing recovery from acidification due to reductions in acid deposition. Additionally, the increased N loading may stimulate growth of N

  8. Assessing LGBTQ campus climate and creating change.

    PubMed

    Yost, Megan R; Gilmore, Stephanie

    2011-01-01

    We report the findings of a climate study of a liberal arts college in Pennsylvania. This climate assessment was comprehensive in content (heterosexual and cisgender individuals' attitudes, and LGBTQ individuals' experiences), participants (faculty, staff, and students), and methodology (qualitative and quantitative). We found low levels of sexual prejudice and generally positive perceptions of the campus, but positive attitudes were more strongly endorsed by heterosexual and cisgender than LGBTQ participants. We consider the impact of these perceptions on LGBTQ students' co-curricular involvement and discuss the institutional changes that are underway as a result of our study.

  9. Future Flows Hydrology: an ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain

    NASA Astrophysics Data System (ADS)

    Prudhomme, C.; Haxton, T.; Crooks, S.; Jackson, C.; Barkwith, A.; Williamson, J.; Kelvin, J.; Mackay, J.; Wang, L.; Young, A.; Watts, G.

    2013-03-01

    The dataset Future Flows Hydrology was developed as part of the project "Future Flows and Groundwater Levels'' to provide a consistent set of transient daily river flow and monthly groundwater level projections across England, Wales and Scotland to enable the investigation of the role of climate variability on river flow and groundwater levels nationally and how this may change in the future. Future Flows Hydrology is derived from Future Flows Climate, a national ensemble projection derived from the Hadley Centre's ensemble projection HadRM3-PPE to provide a consistent set of climate change projections for the whole of Great Britain at both space and time resolutions appropriate for hydrological applications. Three hydrological models and one groundwater level model were used to derive Future Flows Hydrology, with 30 river sites simulated by two hydrological models to enable assessment of hydrological modelling uncertainty in studying the impact of climate change on the hydrology. Future Flows Hydrology contains an 11-member ensemble of transient projections from January 1951 to December 2098, each associated with a single realisation from a different variant of HadRM3 and a single hydrological model. Daily river flows are provided for 281 river catchments and monthly groundwater levels at 24 boreholes as .csv files containing all 11 ensemble members. When separate simulations are done with two hydrological models, two separate .csv files are provided. Because of potential biases in the climate-hydrology modelling chain, catchment fact sheets are associated with each ensemble. These contain information on the uncertainty associated with the hydrological modelling when driven using observed climate and Future Flows Climate for a period representative of the reference time slice 1961-1990 as described by key hydrological statistics. Graphs of projected changes for selected hydrological indicators are also provided for the 2050s time slice. Limitations associated with

  10. Future Flows Hydrology: an ensemble of daily river flow and monthly groundwater levels for use for climate change impact assessment across Great Britain

    NASA Astrophysics Data System (ADS)

    Prudhomme, C.; Haxton, T.; Crooks, S.; Jackson, C.; Barkwith, A.; Williamson, J.; Kelvin, J.; Mackay, J.; Wang, L.; Young, A.; Watts, G.

    2012-12-01

    The dataset Future Flows Hydrology was developed as part of the project "Future Flows and Groundwater Levels" to provide a consistent set of transient daily river flow and monthly groundwater levels projections across England, Wales and Scotland to enable the investigation of the role of climate variability on river flow and groundwater levels nationally and how this may change in the future. Future Flows Hydrology is derived from Future Flows Climate, a national ensemble projection derived from the Hadley Centre's ensemble projection HadRM3-PPE to provide a consistent set of climate change projections for the whole of Great Britain at both space and time resolutions appropriate for hydrological applications. Three hydrological models and one groundwater level model were used to derive Future Flows Hydrology, with 30 river sites simulated by two hydrological models to enable assessment of hydrological modelling uncertainty in studying the impact of climate change on the hydrology. Future Flows Hydrology contains an 11-member ensemble of transient projections from January 1951 to December 2098, each associated with a single realisation from a different variant of HadRM3 and a single hydrological model. Daily river flows are provided for 281 river catchments and monthly groundwater levels at 24 boreholes as .csv files containing all 11 ensemble members. When separate simulations are done with two hydrological models, two separate .csv files are provided. Because of potential biases in the climate-hydrology modelling chain, catchment fact sheets are associated with each ensemble. These contain information on the uncertainty associated with the hydrological modelling when driven using observed climate and Future Flows Climate for a period representative of the reference time slice 1961-1990 as described by key hydrological statistics. Graphs of projected changes for selected hydrological indicators are also provided for the 2050s time slice. Limitations associated with

  11. A process-based model of soil structure to assess the impact of biological agents, climate and reduced tillage

    NASA Astrophysics Data System (ADS)

    Le Couteulx, Alexis; Pérès, Guénola; Wolf, Cédric; Hallaire, Vincent

    2014-05-01

    Soil structure can be defined as the spatial arrangement of voids and solids in soil. It is a dynamic soil property due to agents' activity such as (i) mechanical action of soil tillage (ii) earthworms through their burrowing activity and faeces production and (iii) climate impact due to rain or temperature. Soil structure is often studied because of its impacts on soil functional properties, e.g. water percolation, soil water conductivity. In a context of farming practices shift towards non-ploughing techniques, it is needed to evaluate impacts on soil structure and consequently on its functional properties. Existing models have adopted two strategies to simulate soil structure: (i) to use of measured parameters to adjust a theoretical model or (ii) to build a soil structure by simulating processes that are its base. The first strategy does not deal with the difficulty to access soil structure by itself because input measured parameters are needed. The second one starts from either a virgin structure or a structure coming from strategy (i). This starting structure is then altered according to one structuring agent. At present, there is a need for such dynamic models of soil structure. They must be explicit (3D) and common for a large set of structuring agents too. They must also deal with several issues: e.g. to memorize the many voids and solids building up the soil structure or the need to be fast enough to simulate soil structure dynamics for a month, a year, etc. A first proposal, based on the strong assumption that soil is fractal, was made by Marilleau et al. (2008). In our model three structuring agents were chosen: tillage, earthworm's activity and solid particles settlement due to climate. It first focuses on the building of a computerized soil structure which is a common base to simulate the agents. It aims at being as generic as possible by using an object-oriented structure. The concept of voxel is used to split the soil into elementary units and each

  12. Climate change impacts of US reactive nitrogen.

    PubMed

    Pinder, Robert W; Davidson, Eric A; Goodale, Christine L; Greaver, Tara L; Herrick, Jeffrey D; Liu, Lingli

    2012-05-15

    Fossil fuel combustion and fertilizer application in the United States have substantially altered the nitrogen cycle, with serious effects on climate change. The climate effects can be short-lived, by impacting the chemistry of the atmosphere, or long-lived, by altering ecosystem greenhouse gas fluxes. Here we develop a coherent framework for assessing the climate change impacts of US reactive nitrogen emissions, including oxides of nitrogen, ammonia, and nitrous oxide (N(2)O). We use the global temperature potential (GTP), calculated at 20 and 100 y, in units of CO(2) equivalents (CO(2)e), as a common metric. The largest cooling effects are due to combustion sources of oxides of nitrogen altering tropospheric ozone and methane concentrations and enhancing carbon sequestration in forests. The combined cooling effects are estimated at -290 to -510 Tg CO(2)e on a GTP(20) basis. However, these effects are largely short-lived. On a GTP(100) basis, combustion contributes just -16 to -95 Tg CO(2)e. Agriculture contributes to warming on both the 20-y and 100-y timescales, primarily through N(2)O emissions from soils. Under current conditions, these warming and cooling effects partially offset each other. However, recent trends show decreasing emissions from combustion sources. To prevent warming from US reactive nitrogen, reductions in agricultural N(2)O emissions are needed. Substantial progress toward this goal is possible using current technology. Without such actions, even greater CO(2) emission reductions will be required to avoid dangerous climate change.

  13. Climatic impact of volcanic eruptions

    NASA Technical Reports Server (NTRS)

    Rampino, Michael R.

    1991-01-01

    Studies have attempted to 'isolate' the volcanic signal in noisy temperature data. This assumes that it is possible to isolate a distinct volcanic signal in a record that may have a combination of forcings (ENSO, solar variability, random fluctuations, volcanism) that all interact. The key to discovering the greatest effects of volcanoes on short-term climate may be to concentrate on temperatures in regions where the effects of aerosol clouds may be amplified by perturbed atmospheric circulation patterns. This is especially true in subpolar and midlatitude areas affected by changes in the position of the polar front. Such climatic perturbation can be detected in proxy evidence such as decrease in tree-ring widths and frost rings, changes in the treeline, weather anomalies, severity of sea-ice in polar and subpolar regions, and poor grain yields and crop failures. In low latitudes, sudden temperature drops were correlated with the passage overhead of the volcanic dust cloud (Stothers, 1984). For some eruptions, such as Tambora, 1815, these kinds of proxy and anectdotal information were summarized in great detail in a number of papers and books (e.g., Post, 1978; Stothers, 1984; Stommel and Stommel, 1986; C. R. Harrington, in press). These studies lead to the general conclusion that regional effects on climate, sometimes quite severe, may be the major impact of large historical volcanic aerosol clouds.

  14. Assessment of the impact of sea-level rise due to climate change on coastal groundwater discharge.

    PubMed

    Masciopinto, Costantino; Liso, Isabella Serena

    2016-11-01

    An assessment of sea intrusion into coastal aquifers as a consequence of local sea-level rise (LSLR) due to climate change was carried out at Murgia and Salento in southern Italy. The interpolation of sea-level measurements at three tide-gauge stations was performed during the period of 2000 to 2014. The best fit of measurements shows an increasing rate of LSLR ranging from 4.4mm/y to 8.8mm/y, which will result in a maximum LSLR of approximately 2m during the 22nd century. The local rate of sea-level rise matches recent 21st and 22nd century projections of mean global sea-level rise determined by other researchers, which include increased melting rates of the Greenland and Antarctic ice sheets, the effect of ocean thermal expansion, the melting of glaciers and ice caps, and changes in the quantity of stored land water. Subsequently, Ghyben-Herzberg's equation for the freshwater/saltwater interface was rewritten in order to determine the decrease in groundwater discharge due to the maximum LSLR. Groundwater flow simulations and ArcGIS elaborations of digital elevation models of the coast provided input data for the Ghyben-Herzberg calculation under the assumption of head-controlled systems. The progression of seawater intrusion due to LSLR suggests an impressive depletion of available groundwater discharge during the 22nd century, perhaps as much as 16.1% of current groundwater pumping for potable water in Salento.

  15. Estimation of Land Surface Temperature for the Quantitative Analysis of Land Cover of Lower Areas of Sindh to Assess the Impacts of Climate Variability

    NASA Astrophysics Data System (ADS)

    Qaisar, Maha

    2016-07-01

    Due to the present land use practices and climate variability, drastic shifts in regional climate and land covers are easily seen and their future reduction and gain are too well predicted. Therefore, there is an increasing need for data on land-cover changes at narrow and broad spatial scales. In this study, a remote sensing-based technique for land-cover-change analysis is applied to the lower Sindh areas for the last decade. Landsat satellite products were analyzed on an alternate yearly basis, from 1990 to 2016. Then Land-cover-change magnitudes were measured and mapped for alternate years. Land Surface Temperature (LST) is one of the critical elements in the natural phenomena of surface energy and water balance at local and global extent. However, LST was computed by using Landsat thermal bands via brightness temperature and a vegetation index. Normalized difference vegetation index (NDVI) was interpreted and maps were achieved. LST reflected NDVI patterns with complexity of vegetation patterns. Along with this, Object Based Image Analysis (OBIA) was done for classifying 5 major classes of water, vegetation, urban, marshy lands and barren lands with significant map layouts. Pakistan Meteorological Department provided the climate data in which rainfall, temperature and air temperature are included. Once the LST and OBIA are performed, overlay analysis was done to correlate the results of LST with OBIA and LST with meteorological data to ascertain the changes in land covers due to increasing centigrade of LST. However, satellite derived LST was also correlated with climate data for environmental analysis and to estimate Land Surface Temperature for assessing the inverse impacts of climate variability. This study's results demonstrate the land-cover changes in Lower Areas of Sindh including the Indus Delta mostly involve variations in land-cover conditions due to inter-annual climatic variability and temporary shifts in seasonality. However it is too concluded

  16. The Psychological Impacts of Global Climate Change

    ERIC Educational Resources Information Center

    Doherty, Thomas J.; Clayton, Susan

    2011-01-01

    An appreciation of the psychological impacts of global climate change entails recognizing the complexity and multiple meanings associated with climate change; situating impacts within other social, technological, and ecological transitions; and recognizing mediators and moderators of impacts. This article describes three classes of psychological…

  17. Climate Assessment for 2000.

    NASA Astrophysics Data System (ADS)

    Lawrimore, Jay H.; Halpert, Michael S.; Bell, Gerald D.; Menne, Matthew J.; Lyon, Bradfield; Schnell, Russell C.; Gleason, Karin L.; Easterling, David R.; Thiaw, Wasila; Wright, William J.; Heim, Richard R., Jr.; Robinson, David A.; Alexander, Lisa

    2001-06-01

    The global climate in 2000 was again influenced by the long-running Pacific cold episode (La Niña) that began in mid-1998. Consistent with past cold episodes, enhanced convection occurred across the climatologically convective regions of Indonesia and the western equatorial Pacific, while convection was suppressed in the central Pacific. The La Niña was also associated with a well-defined African easterly jet located north of its climatological mean position and low vertical wind shear in the tropical Atlantic and Caribbean, both of which contributed to an active North Atlantic hurricane season. Precipitation patterns influenced by typical La Niña conditions included 1) above-average rainfall in southeastern Africa, 2) unusually heavy rainfall in northern and central regions of Australia, 3) enhanced precipitation in the tropical Indian Ocean and western tropical Pacific, 4) little rainfall in the central tropical Pacific, 5) below-normal precipitation over equatorial east Africa, and 6) drier-than-normal conditions along the Gulf coast of the United States.Although no hurricanes made landfall in the United States in 2000, another active North Atlantic hurricane season featured 14 named storms, 8 of which became hurricanes, with 3 growing to major hurricane strength. All of the named storms over the North Atlantic formed during the August-October period with the first hurricane of the season, Hurricane Alberto, notable as the third-longest-lived tropical system since reliable records began in 1945. The primary human loss during the 2000 season occurred in Central America, where Hurricane Gordon killed 19 in Guatemala, and Hurricane Keith killed 19 in Belize and caused $200 million dollars of damage.Other regional events included 1) record warm January-October temperatures followed by record cold November-December temperatures in the United States, 2) extreme drought and widespread wildfires in the southern and western Unites States, 3) continued long

  18. Assessing the impact of climate and land use changes on extreme floods in a large tropical catchment

    NASA Astrophysics Data System (ADS)

    Jothityangkoon, Chatchai; Hirunteeyakul, Chow; Boonrawd, Kowit; Sivapalan, Murugesu

    2013-05-01

    In the wake of the recent catastrophic floods in Thailand, there is considerable concern about the safety of large dams designed and built some 50 years ago. In this paper a distributed rainfall-runoff model appropriate for extreme flood conditions is used to generate revised estimates of the Probable Maximum Flood (PMF) for the Upper Ping River catchment (area 26,386 km2) in northern Thailand, upstream of location of the large Bhumipol Dam. The model has two components: a continuous water balance model based on a configuration of parameters estimated from climate, soil and vegetation data and a distributed flood routing model based on non-linear storage-discharge relationships of the river network under extreme flood conditions. The model is implemented under several alternative scenarios regarding the Probable Maximum Precipitation (PMP) estimates and is also used to estimate the potential effects of both climate change and land use and land cover changes on the extreme floods. These new estimates are compared against estimates using other hydrological models, including the application of the original prediction methods under current conditions. Model simulations and sensitivity analyses indicate that a reasonable Probable Maximum Flood (PMF) at the dam site is 6311 m3/s, which is only slightly higher than the original design flood of 6000 m3/s. As part of an uncertainty assessment, the estimated PMF is sensitive to the design method, input PMP, land use changes and the floodplain inundation effect. The increase of PMP depth by 5% can cause a 7.5% increase in PMF. Deforestation by 10%, 20%, 30% can result in PMF increases of 3.1%, 6.2%, 9.2%, respectively. The modest increase of the estimated PMF (to just 6311 m3/s) in spite of these changes is due to the factoring of the hydraulic effects of trees and buildings on the floodplain as the flood situation changes from normal floods to extreme floods, when over-bank flows may be the dominant flooding process, leading

  19. Input-Output Analysis as a Tool in Assessing the Impacts of Climatic Variations on Regional Economies: with Prototype Applications to the Oklahoma Economy.

    NASA Astrophysics Data System (ADS)

    Cooter, William S.

    Input-output analysis techniques are developed to relate climate impacts affecting specific economic sectors to overall economic impacts in a regional economy. The types of applied problems covered include: (1) Estimates of impacts from "natural" (or historical) climatic variability on the agricultural crop sector and residential consumption; (2) Estimates of likely impacts from an operational weather modification program; (3) Estimates of likely impacts from the implementation of climate-conscious irrigation scheduling strategies; (4) Estimates of likely impacts resulting from climate-conscious residential retrofitting; (5) The feasibility of instituting a statewide water transfer program, including consideration of the impact of scenarios involving climate -conscious irrigation scheduling; (6) A general consideration of using input-output techniques as an "optimal" decision -making tool for regional planners faced with coping with climate-related water shortages. The potentials of input -output analysis for dealing with such problem contexts are explored. Provisional estimates are made of the magnitude of the dollar impacts on the Oklahoma economy. Suggestions are made as how much information can be used to tailor programmatic expenditures to match expected economic gains. Finally, suggestions are made as to promising avenues for future study.

  20. Assessment of climate impacts on hydrology and geomorphology of semiarid headwater basins using a physically-based model

    NASA Astrophysics Data System (ADS)

    Francipane, A.; Fatichi, S.; Ivanov, V. Y.; Noto, L. V.

    2013-12-01

    The response of watershed erosion rates to changes in climate is expected to be highly non-linear and thus demands for mechanistic approaches to improve our understanding of the underlying causes. In this study, the integrated geomorphic component tRIBS-Erosion of the physically-based, spatially distributed hydrological model, tRIBS, the TIN-based Real-time Integrated Basin Simulator, is used to analyze the sensitivity of small semi-arid headwater basins to projected climate conditions. Observed historic climate and downscaled realizations of general circulation models from CMIP3 inform the stochastic weather generator AWE-GEN (Advanced WEather GENerator), which is used to produce two climate ensembles representative of the past historic and future climate conditions for the Walnut Gulch Experimental Watershed (WGEW) area in the Southwest U.S. The former ensemble incorporates the stochastic variability of the observed climate, while the latter includes the stochastic variability and the uncertainty of CMIP3 multi-model climate change projections. The climate ensembles are used as forcing input to the hydrogeomorphic model that is applied to seven headwater basins of WGEW. The basin response in terms of runoff and sediment yield for climate ensembles representative of the historic past and future is simulated and probabilistic inferences on future changes in catchment runoff and sediment transport are drawn. The application of the model to multiple catchments also identifies the scaling relationship between specific sediment yield/runoff and drainage basin area. The study reveals that geomorphic differences among catchments influence the variability of sediment yield, as affected by possible future climates, much more as compared to runoff, which is instead strongly dominated by the climate forcing. Despite a large uncertainty inherent to climate change projections and imposed by the stochastic climate variability, the basin sediment yield is predicted to decrease

  1. Probabilistic Climate Scenario Information for Risk Assessment

    NASA Astrophysics Data System (ADS)

    Dairaku, K.; Ueno, G.; Takayabu, I.

    2014-12-01

    Climate information and services for Impacts, Adaptation and Vulnerability (IAV) Assessments are of great concern. In order to develop probabilistic regional climate information that represents the uncertainty in climate scenario experiments in Japan, we compared the physics ensemble experiments using the 60km global atmospheric model of the Meteorological Research Institute (MRI-AGCM) with multi-model ensemble experiments with global atmospheric-ocean coupled models (CMIP3) of SRES A1b scenario experiments. The MRI-AGCM shows relatively good skills particularly in tropics for temperature and geopotential height. Variability in surface air temperature of physical ensemble experiments with MRI-AGCM was within the range of one standard deviation of the CMIP3 model in the Asia region. On the other hand, the variability of precipitation was relatively well represented compared with the variation of the CMIP3 models. Models which show the similar reproducibility in the present climate shows different future climate change. We couldn't find clear relationships between present climate and future climate change in temperature and precipitation. We develop a new method to produce probabilistic information of climate change scenarios by weighting model ensemble experiments based on a regression model (Krishnamurti et al., Science, 1999). The method can be easily applicable to other regions and other physical quantities, and also to downscale to finer-scale dependent on availability of observation dataset. The prototype of probabilistic information in Japan represents the quantified structural uncertainties of multi-model ensemble experiments of climate change scenarios. Acknowledgments: This study was supported by the SOUSEI Program, funded by Ministry of Education, Culture, Sports, Science and Technology, Government of Japan.

  2. Detection and Attribution of Anthropogenic Climate Change Impacts

    NASA Technical Reports Server (NTRS)

    Rosenzweig, Cynthia; Neofotis, Peter

    2013-01-01

    Human-influenced climate change is an observed phenomenon affecting physical and biological systems across the globe. The majority of observed impacts are related to temperature changes and are located in the northern high- and midlatitudes. However, new evidence is emerging that demonstrates that impacts are related to precipitation changes as well as temperature, and that climate change is impacting systems and sectors beyond the Northern Hemisphere. In this paper, we highlight some of this new evidence-focusing on regions and sectors that the Intergovernmental Panel on Climate Change Fourth Assessment Report (IPCC AR4) noted as under-represented-in the context of observed climate change impacts, direct and indirect drivers of change (including carbon dioxide itself), and methods of detection. We also present methods and studies attributing observed impacts to anthropogenic forcing. We argue that the expansion of methods of detection (in terms of a broader array of climate variables and data sources, inclusion of the major modes of climate variability, and incorporation of other drivers of change) is key to discerning the climate sensitivities of sectors and systems in regions where the impacts of climate change currently remain elusive. Attributing such changes to human forcing of the climate system, where possible, is important for development of effective mitigation and adaptation. Current challenges in documenting adaptation and the role of indigenous knowledge in detection and attribution are described.

  3. SkiSim - A semi-distributed model to assess the impact of climate change on ski season length and snowmaking

    NASA Astrophysics Data System (ADS)

    Steiger, R.

    2009-04-01

    -2000 is +1,4°C to +3,5°C in the B1 scenario, and from +1,2°C to 5,7°C in the A1B scenario. Precipitation change in the A1B scenario is between +5% and +10%, in B1 it is +5% to +20%. The synthetic daily data produced by LARS-WG is the input data for the ski season model. Temperature and precipitation are distributed for each 100m altitude band, ranging from the lowest to the highest point of the ski area. The ski season model produces results for the whole ski area and not just for one single point (e.g. the lowest point in a ski area). Thus it is possible to assess the impact of climate change on ski season length and snowmaking in much greater detail than in previous studies. Based on these results, the consequences for winter tourism destinations can be assessed. Following the methodology of Breiling et al. (1997, 2008), the contribution of winter tourism to the regional economy and the number employments in tourism serve as an indicator for the vulnerability of communities and regions to climate change. In total 120 ski areas in North and South Tyrol are investigated in the running project. Results of three ski areas, different in size and altitude, will be presented. Sources: Abegg, B., S. Agrawala, Crick, F., de Montfalcon, A. (2007): Climate change impacts and adaptation in winter tourism. In: S. Agrawala, Climate Change in the European Alps. Adapting Winter Tourism and Natural Hazards Management. Paris, OECD: 25-60. Breiling, M., Charamza, P., Skage, O. (1997): Klimasensibilität österreichischer Bezirke mit besonderer Berücksichtigung des Wintertourismus. Rapport 1,Department of Landscape Planning Alnarp, Swedish University of Agricultural Sciences. Breiling, M., Charamza, P.,Feilmayr, W. (2008): Klimasensibilität des Salzburger Wintertourismus nach Bezirken, TTL, TU Vienna. Kleindienst, H. (2000): Snow hydrological models as tools for snow cover assessment and water resources management, Bern. Phd. Scott, D., G. McBoyle, Minogue, A. (2007): Climate Change

  4. Assessing the impacts of climate change and nitrogen deposition on Norway spruce (Picea abies L. Karst) growth in Austria with BIOME-BGC.

    PubMed

    Eastaugh, Chris S; Pötzelsberger, Elisabeth; Hasenauer, Hubert

    2011-03-01

    The aim of this paper is to determine whether a detectable impact of climate change is apparent in Austrian forests. In regions of complex terrain such as most of Austria, climatic trends over the past 50 years show marked geographic variability. As climate is one of the key drivers of forest growth, a comparison of growth characteristics between regions with different trends in temperature and precipitation can give insights into the impact of climatic change on forests. This study uses data from several hundred climate recording stations, interpolated to measurement sites of the Austrian National Forest Inventory (NFI). Austria as a whole shows a warming trend over the past 50 years and little overall change in precipitation. The warming trends, however, vary considerably across certain regions and regional precipitation trends vary widely in both directions, which cancel out on the national scale These differences allow the delineation of 'climatic change zones' with internally consistent climatic trends that differ from other zones. This study applies the species-specific adaptation of the biogeochemical model BIOME-BGC to Norway spruce (Picea abies (L.) Karst) across a range of Austrian climatic change zones, using input data from a number of national databases. The relative influence of extant climate change on forest growth is quantified, and compared with the far greater impact of non-climatic factors. At the national scale, climate change is found to have negligible effect on Norway spruce productivity, due in part to opposing effects at the regional level. The magnitudes of the modeled non-climatic influences on aboveground woody biomass increment increases are consistent with previously reported values of 20-40 kg of added stem carbon sequestration per kilogram of additional nitrogen deposition, while climate responses are of a magnitude difficult to detect in NFI data.

  5. Assessing and regulating the impacts of climate change on water resources in the Heihe watershed on the Loess Plateau of China

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Climate change can cause considerable changes in surface hydrology on the Loess Plateau. The objectives were to evaluate the potential impacts of climate change during 2010-2039 on surface hydrology (runoff, soil water contents and evapotranspiration) in the Heihe watershed on the Loess Plateau of C...

  6. Transport impacts on atmosphere and climate: Aviation

    NASA Astrophysics Data System (ADS)

    Lee, D. S.; Pitari, G.; Grewe, V.; Gierens, K.; Penner, J. E.; Petzold, A.; Prather, M. J.; Schumann, U.; Bais, A.; Berntsen, T.; Iachetti, D.; Lim, L. L.; Sausen, R.

    2010-12-01

    Aviation alters the composition of the atmosphere globally and can thus drive climate change and ozone depletion. The last major international assessment of these impacts was made by the Intergovernmental Panel on Climate Change (IPCC) in 1999. Here, a comprehensive updated assessment of aviation is provided. Scientific advances since the 1999 assessment have reduced key uncertainties, sharpening the quantitative evaluation, yet the basic conclusions remain the same. The climate impact of aviation is driven by long-term impacts from CO 2 emissions and shorter-term impacts from non-CO 2 emissions and effects, which include the emissions of water vapour, particles and nitrogen oxides (NO x). The present-day radiative forcing from aviation (2005) is estimated to be 55 mW m -2 (excluding cirrus cloud enhancement), which represents some 3.5% (range 1.3-10%, 90% likelihood range) of current anthropogenic forcing, or 78 mW m -2 including cirrus cloud enhancement, representing 4.9% of current forcing (range 2-14%, 90% likelihood range). According to two SRES-compatible scenarios, future forcings may increase by factors of 3-4 over 2000 levels, in 2050. The effects of aviation emissions of CO 2 on global mean surface temperature last for many hundreds of years (in common with other sources), whilst its non-CO 2 effects on temperature last for decades. Much progress has been made in the last ten years on characterizing emissions, although major uncertainties remain over the nature of particles. Emissions of NO x result in production of ozone, a climate warming gas, and the reduction of ambient methane (a cooling effect) although the overall balance is warming, based upon current understanding. These NO x emissions from current subsonic aviation do not appear to deplete stratospheric ozone. Despite the progress made on modelling aviation's impacts on tropospheric chemistry, there remains a significant spread in model results. The knowledge of aviation's impacts on cloudiness

  7. Climate impacts of regional SO2 emissions

    NASA Astrophysics Data System (ADS)

    Lamarque, J. F.; Fiore, A. M.; Shindell, D. T.

    2015-12-01

    Climate impacts of regional SO2 emissions J.-F. Lamarque, A. M. Fiore and D. Shindell In this talk, we present the analysis of constant -forcing present-day simulations pertaining to the perturbation of SO2 emissions over the United States and China. Using 3 chemistry-climate models (CESM, GFDL and GISS), we show that the removal of SO2 anthropogenic emissions over each region leads to significant (at the 95% or above; significance is also assessed relative to internal variability as determined from a 200-year control simulation with perpetual year 2000 conditions) perturbations in temperature over multiple regions of the Northern Hemisphere. While more limited, significant perturbations in regional precipitation are also found. While the overall (global and zonal means) forcing from Chinese emissions is similar to the US case, we found that the regional response to the emissions has different regional distributions.

  8. The Sun's Impact on Climate

    NASA Technical Reports Server (NTRS)

    Cahalan, Robert

    2002-01-01

    We provide an overview of the impact of the Sun on the Earth atmosphere and climate system, focused on heating of Earth's atmosphere and oceans. We emphasize the importance of the spectral measurements of SIM and SOLSTICE- that we must know how solar variations are distributed over ultraviolet, visible, and infrared wavelengths, since these have separate characteristic influences on Earth's ozone layer, clouds, and upper layers of the oceans. Emphasis is also given to understanding both direct and indirect influences of the Sun on the Earth, which involve feedbacks between Earth'