WorldWideScience

Sample records for providing regional climate

  1. Providing Western Regional Climate Services - Perspectives from the Western Regional Climate Center

    Science.gov (United States)

    Brown, T. J.; Redmond, K. T.

    2014-12-01

    The western United States faces distinct challenges such as persistent drought, dwindling water resources amidst an expanding population, and climate-sensitive alpine environments. The complex terrain of the region compounds these challenges. The Western Regional Climate Center (WRCC), one of six National Oceanic and Atmospheric Administration (NOAA) university-based regional climate centers, has been providing climate services since 1986 that support the unique needs of stakeholders in the mountainous region of the western U.S. This includes meteorological data, tools, and products for thousands of stations across the West, and gridded data products, such as based on PRISM for example, that are used for drought assessment among other needs. WRCC and partners have developed numerous web-based tools and products to support decision-making and research pertinent to the West. Changing climate and variability along with the diverse physical and human geographies of the western U.S. require continuous advancements in climate knowledge and applications development. Examples include the need for tools and model downscaling that support and inform adaptation, mitigation and resiliency planning; web-based analytics that would allow users to interact and explore temporal and spatial data and relationships, and products from new satellite sensors that can provide higher resolution information on soil moisture and vegetation health given the sparseness of in-situ observations for the vastness of the West. This presentation provides an overview of some insights, opportunities and challenges of providing current and future climate services in the West.

  2. Providing farmers, ranchers, and foresters in California with actionable climate information: opportunities and obstacles for California's USDA Regional Climate Sub Hub

    Science.gov (United States)

    Kerr, A. C.; Steenwerth, K. L.; Stine, P.; Chambers, J.; Fischer, C.; Kiger, L.; Hedt, T.; Gonzales, O.; Tse, R.; Tse, A.; Gunasekara, A.; Henly, R.; DeLaRosa, J.; Battany, M.; Pathak, T.; Parker, D.; Schwartz, M.; Tjeerdema, R.; Kalansky, J.; Kehmeier, E.; Xides, A.; Marshall, A.; Jagannathan, K.

    2015-12-01

    California is the #1 agricultural state in the US, with output worth $50 billion in 2014. California produces half the nation's specialty crops (fruits, vegetables, and nuts) and is a leader in beef and dairy production. California also has 10% of the forestland west of the Mississippi, including many economically and ecologically important forest types. The USDA Regional Climate Sub Hub for California was created in 2014 to help land users (farmers, ranchers, and forest land owners) cope with climate variability and change, via two-way linkages with producers of climate information. In its first year and a half, the Sub Hub has formed partnerships with California's many other climate-focused organizations, including state and federal government, universities, and NGOs. The Sub Hub coordinates climate-related work among several USDA agencies (ARS, FS, NRCS, and others), which formerly had no mechanism to do so. The Sub Hub also works with other federal climate programs (such as the DOI's CA Landscape Conservation Cooperative, with which the Sub Hub is engaged in a multi-year assessment to balance conservation and agriculture in the Central Valley). State government agencies, such as the Natural Resources Agency and the Department of Food and Agriculture, are key partners for priority-setting and data-sharing. One of the Sub Hub's crucial synergies is with UC Cooperative Extension, which provides insight into land users' needs and provides an outlet to deliver Sub Hub products on the ground. In response to stakeholder concerns, the Sub Hub's 2015-16 emphasis is the ongoing California drought. The Sub Hub's current stakeholder-focused projects include (1) a climate vulnerability assessment of California rangelands, including detailed maps of likely vegetation change and suggestions for location-specific adaptation options; (2) a comprehensive climate-related update of Cooperative Extension's widely used Forest Stewardship Series for private landowners; (3) a study on

  3. A Hierarchical Evaluation of Regional Climate Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

    2013-08-20

    Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

  4. Regional climate model performance and prediction of seasonal ...

    African Journals Online (AJOL)

    Knowledge about future climate provides valuable insights into how the challenges posed by climate change and variability can be addressed. This study assessed the skill of the United Kingdom (UK) Regional Climate Model (RCM) PRECIS (Providing REgional Climates for Impacts Studies) in simulating rainfall and ...

  5. Analysis of regional climate strategies in the Barents region

    Energy Technology Data Exchange (ETDEWEB)

    Himanen, S.; Inkeroeinen, J.; Latola, K.; Vaisanen, T.; Alasaarela, E.

    2012-11-15

    Climate change is a global phenomenon with especially harsh effects on the Arctic and northern regions. The Arctic's average temperature has risen at almost twice the rate as elsewhere in the past few decades. Since 1966, the Arctic land area covered by snow in early summer has shrunk by almost a fifth. The Barents Region consists of the northern parts of Norway, Sweden, Finland and Russia (i.e. the European part of Russia). Climate change will cause serious impacts in the Barents Region because of its higher density of population living under harsh climatic conditions, thus setting it apart from other Arctic areas. In many cases, economic activities, like tourism, rely on certain weather conditions. For this reason, climate change and adaptation to it is of special urgency for the region. Regional climate change strategies are important tools for addressing mitigation and adaptation to climate change as they can be used to consolidate the efforts of different stakeholders of the public and private sectors. Regional strategies can be important factors in achieving the national and international goals. The study evaluated how the national climate change goals were implemented in the regional and local strategies and programmes in northern Finland. The specific goal was to describe the processes by which the regional strategies were prepared and implemented, and how the work was expanded to include the whole of northern Finland. Finally, the Finnish preparatory processes were compared to case examples of processes for preparing climate change strategies elsewhere in the Barents Region. This analysis provides examples of good practices in preparing a climate change strategy and implementing it. (orig.)

  6. Regional climate service in Southern Germany

    Science.gov (United States)

    Schipper, Janus; Hackenbruch, Julia

    2013-04-01

    Climate change challenges science, politics, business and society at the international, national and regional level. The South German Climate Office at the Karlsruhe Institute of Technology (KIT) is a contact for the structuring and dissemination of information on climate and climate change in the South German region. It provides scientifically based and user-oriented climate information. Thereby it builds a bridge between the climate sciences and society and provides scientific information on climate change in an understandable way. The expertise of KIT, in which several institutions operate on fundamental and applied climate research, and of partner institutions is the basis for the work in the climate office. The regional focus is on the south of Germany. Thematic focuses are e.g. regional climate modeling, trends in extreme weather events such as heavy rain and hail event, and issues for energy and water management. The South German Climate Office is one of four Regional Helmholtz Climate Offices, of which each has a regional and thematic focus. The users of the Climate Office can be summarized into three categories. First, there is the general public. This category consists mainly of non-professionals. Here, special attention is on an understandable translation of climate information. Attention is paid to application-related aspects, because each individual is affected in a different way by climate change. Typical examples of this category are school groups, citizens and the media. The second category consists of experts of other disciplines. Unlike the first category they are mainly interested in the exchange of results and data. It is important to the climate office to provide support for the use of climatological results. Typical representatives of this category are ministries, state offices, and companies. In the third and final category are scientists. In addition to the climatologists, this category also holds representatives from other scientific

  7. Regional Highlights of Climate Change

    Science.gov (United States)

    David L. Peterson; J.M. Wolken; Teresa Hollingsworth; Christian Giardina; J.S. Littell; Linda Joyce; Chris Swanston; Stephen Handler; Lindsey Rustad; Steve McNulty

    2014-01-01

    Climatic extremes, ecological disturbance, and their interactions are expected to have major effects on ecosystems and social systems in most regions of the United States in the coming decades. In Alaska, where the largest temperature increases have occurred, permafrost is melting, carbon is being released, and fire regimes are changing, leading to a...

  8. Regional climate change mitigation analysis

    Energy Technology Data Exchange (ETDEWEB)

    Rowlands, Ian H. [UNEP Collaborating Centre on Energy and Environment, and Univ. of Waterloo (Canada)

    1998-10-01

    The purpose of this paper is to explore some of the key methodological issues that arise from an analysis of regional climate change mitigation options. The rationale for any analysis of regional mitigation activities, emphasising both the theoretical attractiveness and the existing political encouragement and the methodology that has been developed are reviewed. The differences arising from the fact that mitigation analyses have been taken from the level of the national - where the majority of the work has been completed to date - to the level of the international - that is, the `regional` - will be especially highlighted. (EG)

  9. FY08 LDRD Final Report Regional Climate

    Energy Technology Data Exchange (ETDEWEB)

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete

  10. CARICOF - The Caribbean Regional Climate Outlook Forum

    Science.gov (United States)

    Van Meerbeeck, Cedric

    2013-04-01

    Regional Climate Outlook Forums (RCOFs) are viewed as a critical building block in the Global Framework for Climate Services (GFCS) of the World Meteorological Organization (WMO). The GFCS seeks to extend RCOFs to all vulnerable regions of the world such as the Caribbean, of which the entire population is exposed to water- and heat-related natural hazards. An RCOF is initially intended to identify gaps in information and technical capability; facilitate research cooperation and data exchange within and between regions, and improve coordination within the climate forecasting community. A focus is given on variations in climate conditions on a seasonal timescale. In this view, the relevance of a Caribbean RCOF (CARICOF) is the following: while the seasonality of the climate in the Caribbean has been well documented, major gaps in knowledge exist in terms of the drivers in the shifts of amplitude and phase of seasons (as evidenced from the worst region-wide drought period in recent history during 2009-2010). To address those gaps, CARICOF has brought together National Weather Services (NWSs) from 18 territories under the coordination of the Caribbean Institute for Meteorology and Hydrology (CIMH), to produce region-wide, consensus, seasonal climate outlooks since March 2012. These outlooks include tercile rainfall forecasts, sea and air surface temperature forecasts as well as the likely evolution of the drivers of seasonal climate variability in the region, being amongst others the El Niño Southern Oscillation or tropical Atlantic and Caribbean Sea temperatures. Forecasts for both the national-scale forecasts made by the NWSs and CIMH's regional-scale forecast amalgamate output from several forecasting tools. These currently include: (1) statistical models such as Canonical Correlation Analysis run with the Climate Predictability Tool, providing tercile rainfall forecasts at weather station scale; (2) a global outlooks published by the WMO appointed Global Producing

  11. Understanding Climate Service Science: Balancing Users' Needs with Providers' Capabilities

    Science.gov (United States)

    Street, Roger B.; Bley, Dagmar; Manez, Maria

    2013-04-01

    ) are exploring, mapping and analysing users' requirements and climate service providers within Europe. Such information does exist to some degree but are fragmented and relatively little is systematically documented or analysed. These FTAs include a number of national dialogues and will draw on existing information, including that being compiled through previous initiatives and various research projects. However the mapping within the FTAs goes beyond the existing inventories and will lay the ground for a mid- to long-term multidisciplinary research on the governance of CS. The FTAs are intended to identify research gaps and inform the development and delivery of the JPI-Climate strategic research agenda, including those components for the seasonal to decadal predictions, societal transformation and decision support tools. This initiative is a multi-year process of research and information exchange engaging climate service providers and users in Europe, at different levels (regional-national-international) in several loops of national and European dialogues. This presentation will provide some insights into the directions and initial outcomes of the FTAs and what these mean for the science underpinning climate services.

  12. Detection and Attribution of Regional Climate Change

    Energy Technology Data Exchange (ETDEWEB)

    Bala, G; Mirin, A

    2007-01-19

    We developed a high resolution global coupled modeling capability to perform breakthrough studies of the regional climate change. The atmospheric component in our simulation uses a 1{sup o} latitude x 1.25{sup o} longitude grid which is the finest resolution ever used for the NCAR coupled climate model CCSM3. Substantial testing and slight retuning was required to get an acceptable control simulation. The major accomplishment is the validation of this new high resolution configuration of CCSM3. There are major improvements in our simulation of the surface wind stress and sea ice thickness distribution in the Arctic. Surface wind stress and ocean circulation in the Antarctic Circumpolar Current are also improved. Our results demonstrate that the FV version of the CCSM coupled model is a state of the art climate model whose simulation capabilities are in the class of those used for IPCC assessments. We have also provided 1000 years of model data to Scripps Institution of Oceanography to estimate the natural variability of stream flow in California. In the future, our global model simulations will provide boundary data to high-resolution mesoscale model that will be used at LLNL. The mesoscale model would dynamically downscale the GCM climate to regional scale on climate time scales.

  13. The climate4impact platform: Providing, tailoring and facilitating climate model data access

    Science.gov (United States)

    Pagé, Christian; Pagani, Andrea; Plieger, Maarten; Som de Cerff, Wim; Mihajlovski, Andrej; de Vreede, Ernst; Spinuso, Alessandro; Hutjes, Ronald; de Jong, Fokke; Bärring, Lars; Vega, Manuel; Cofiño, Antonio; d'Anca, Alessandro; Fiore, Sandro; Kolax, Michael

    2017-04-01

    One of the main objectives of climate4impact is to provide standardized web services and tools that are reusable in other portals. These services include web processing services, web coverage services and web mapping services (WPS, WCS and WMS). Tailored portals can be targeted to specific communities and/or countries/regions while making use of those services. Easier access to climate data is very important for the climate change impact communities. To fulfill this objective, the climate4impact (http://climate4impact.eu/) web portal and services has been developed, targeting climate change impact modellers, impact and adaptation consultants, as well as other experts using climate change data. It provides to users harmonized access to climate model data through tailored services. It features static and dynamic documentation, Use Cases and best practice examples, an advanced search interface, an integrated authentication and authorization system with the Earth System Grid Federation (ESGF), a visualization interface with ADAGUC web mapping tools. In the latest version, statistical downscaling services, provided by the Santander Meteorology Group Downscaling Portal, were integrated. An innovative interface to integrate statistical downscaling services will be released in the upcoming version. The latter will be a big step in bridging the gap between climate scientists and the climate change impact communities. The climate4impact portal builds on the infrastructure of an international distributed database that has been set to disseminate the results from the global climate model results of the Coupled Model Intercomparison project Phase 5 (CMIP5). This database, the ESGF, is an international collaboration that develops, deploys and maintains software infrastructure for the management, dissemination, and analysis of climate model data. The European FP7 project IS-ENES, Infrastructure for the European Network for Earth System modelling, supports the European

  14. A Regional Climate Change Assessment Program for North America

    Energy Technology Data Exchange (ETDEWEB)

    Mearns, L. O.; Gutowski, William; Jones, Richard; Leung, Lai-Yung R.; McGinnis, Seth; Nunes, A.; Qian, Yun

    2009-09-08

    There are two main uncertainties in determining future climate: the trajectories of future emissions of greenhouse gases and aerosols, and the response of the global climate system to any given set of future emissions [Meehl et al., 2007]. These uncertainties normally are elucidated via application of global climate models, which provide information at relatively coarse spatial resolutions. Greater interest in, and concern about, the details of climate change at regional scales has provided the motivation for the application of regional climate models, which introduces additional uncertainty [Christensen et al., 2007a]. These uncertainties in fi ne- scale regional climate responses, in contrast to uncertainties of coarser spatial resolution global models in which regional models are nested, now have been documented in numerous contexts [Christensen et al., 2007a] and have been found to extend to uncertainties in climate impacts [Wood et al., 2004; Oleson et al., 2007]. While European research in future climate projections has moved forward systematically to examine combined uncertainties from global and regional models [Christensen et al., 2007b], North American climate programs have lagged behind. To fi ll this research gap, scientists developed the North American Regional Climate Change Assessment Program (-NARCCAP). The fundamental scientifi c motivation of this international program is to explore separate and combined uncertainties in regional projections of future climate change resulting from the use of multiple atmosphere- ocean general circulation models (AOGCMs) to drive multiple regional climate models (RCMs). An equally important, and related, motivation for this program is to provide the climate impacts and adaptation community with high- resolution regional climate change scenarios that can be used for studies of the societal impacts of climate change and possible adaptation strategies.

  15. Abilities and limitations in the use of regional climate models

    Energy Technology Data Exchange (ETDEWEB)

    Koeltzov, Morten Andreas Oedegaard

    2012-11-01

    In order to say something about the effect of climate change at the regional level, one takes in use regional climate models. In these models the thesis introduce regional features, which are not included in the global climate models (which are basically in climate research). Regional models can provide good and useful climate projections that add more value than the global climate models, but also introduces an uncertainty in the calculations. How should this uncertainty affect the use of regional climate models?The most common methodology for calculating potential future climate developments are based on different scenarios of possible emissions of greenhouse gases. These scenarios operates as global climate models using physical laws and calculate possible future developments. This is considered mathematical complexed and processes with limited supercomputing capacity calculates the global models for the larger scale of the climate system. To study the effects of climate change are regional details required and the regional models used therefore in a limited area of the climate system. These regional models are driven by data from the global models and refines and improves these data. Impact studies can then use the data from the regional models or data which are further processed to provide more local details using geo-statistical methods. In the preparation of the climate projections is there a minimum of 4 sources of uncertainty. This uncertainty is related to the provision of emission scenarios of greenhouse gases, uncertainties related to the use of global climate models, uncertainty related to the use of regional climate models and the uncertainty of internal variability in the climate system. This thesis discusses the use of regional climate models, and illustrates how the regional climate model adds value to climate projections, and at the same time introduce uncertainty in the calculations. It discusses in particular the importance of the choice of

  16. Climate Regionalization through Hierarchical Clustering: Options and Recommendations for Africa

    Science.gov (United States)

    Badr, H. S.; Zaitchik, B. F.; Dezfuli, A. K.

    2014-12-01

    Climate regionalization is an important but often under-emphasized step in studies of climate variability and predictions. While most investigations of regional climate or statistical/dynamical predictions do make at least an implicit attempt to focus on a study region or sub-regions that are climatically coherent in some respect, rigorous climate regionalization--in which the study area is divided on the basis of the most relevant climate metrics and at a resolution most appropriate to the data and the scientific question--has the potential to enhance the precision and explanatory power of climate studies in many cases. This is particularly true for climatically complex regions such as the Greater Horn of Africa (GHA) and Equatorial West Africa. Here we present an improved clustering method and a flexible, open-source software tool (R package "HiClimR") designed specifically for climate regionalization. As a demonstration, we apply HiClimR to regionalize the GHA on the basis of interannual precipitation variability in each calendar month and for three-month running seasons. Different clustering methods are tested to show the behavior of each method and provide recommendations for specific problems. This would underscore the applicability of our work to a wide range of climate issues, and enable researchers to easily and quickly learn how to apply our tools to their own problems. Both the proposed methodology and the R package can be easily used for a broad range of climate applications.

  17. Regional climate services: A regional partnership between NOAA and USDA

    Science.gov (United States)

    Climate services in the Midwest and Northern Plains regions have been enhanced by a recent addition of the USDA Climate Hubs to NOAA’s existing network of partners. This new partnership stems from the intrinsic variability of intra and inter-annual climatic conditions, which makes decision-making fo...

  18. High resolution experiments with the ALADIN-Climate regional climate model

    Science.gov (United States)

    Csima, G.

    2009-09-01

    The global climate models are able to describe the climate of the Earth at a rather coarse resolution providing realistic projections only for the synoptic scale characteristics of the climate. For this reason, they are insufficient for detailed regional or local scale estimations. However, impact studies and policy makers need simulations including all the effects caused by local features. Consequently, techniques for downscaling global climate model simulations - such as regional climate modelling - are essential. The ALADIN-Climate regional climate model (developed by Météo France on the basis of the internationally developed ALADIN modelling system) was adapted at the Hungarian Meteorological Service a few years ago. In the framework of the CECILIA project (www.cecilia-eu.org), the ALADIN-Climate regional climate model runs at high (10 km) horizontal resolution. Therefore, it is anticipated to give more realistic climate estimation for this century than either the global models or the lower resolution regional climate models. The ALADIN-Climate model was coupled to both ERA-40 re-analysis data and the ARPEGE/OPA global atmosphere-ocean general circulation model for the past - 1961-1990 - as the reference period. For the future time slices of 2021-2050 and 2071-2100, the lateral boundary conditions were provided by the same global model with the use of A1B SRES scenario. The results have been validated against different observational datasets for the past, and have been compared to the results of the ARPEGE-Climat global model in order to expose the added value of the regional climate model. The ALADIN-Climate model has also been evaluated for the future to give an estimation of climate change in the Carpathian Basin.

  19. CECILIA Regional Climate Simulations for Future Climate: Analysis of Climate Change Signal

    Directory of Open Access Journals (Sweden)

    Michal Belda

    2015-01-01

    Full Text Available Regional climate models (RCMs are important tools used for downscaling climate simulations from global scale models. In project CECILIA, two RCMs were used to provide climate change information for regions of Central and Eastern Europe. Models RegCM and ALADIN-Climate were employed in downscaling global simulations from ECHAM5 and ARPEGE-CLIMAT under IPCC A1B emission scenario in periods 2021–2050 and 2071–2100. Climate change signal present in these simulations is consistent with respective driving data, showing similar large-scale features: warming between 0 and 3°C in the first period and 2 and 5°C in the second period with the least warming in northwestern part of the domain increasing in the southeastern direction and small precipitation changes within range of +1 to −1 mm/day. Regional features are amplified by the RCMs, more so in case of the ALADIN family of models.

  20. Climate change in Central America and Mexico: regional climate model validation and climate change projections

    Science.gov (United States)

    Karmalkar, Ambarish V.; Bradley, Raymond S.; Diaz, Henry F.

    2011-08-01

    Central America has high biodiversity, it harbors high-value ecosystems and it's important to provide regional climate change information to assist in adaptation and mitigation work in the region. Here we study climate change projections for Central America and Mexico using a regional climate model. The model evaluation shows its success in simulating spatial and temporal variability of temperature and precipitation and also in capturing regional climate features such as the bimodal annual cycle of precipitation and the Caribbean low-level jet. A variety of climate regimes within the model domain are also better identified in the regional model simulation due to improved resolution of topographic features. Although, the model suffers from large precipitation biases, it shows improvements over the coarse-resolution driving model in simulating precipitation amounts. The model shows a dry bias in the wet season and a wet bias in the dry season suggesting that it's unable to capture the full range of precipitation variability. Projected warming under the A2 scenario is higher in the wet season than that in the dry season with the Yucatan Peninsula experiencing highest warming. A large reduction in precipitation in the wet season is projected for the region, whereas parts of Central America that receive a considerable amount of moisture in the form of orographic precipitation show significant decreases in precipitation in the dry season. Projected climatic changes can have detrimental impacts on biodiversity as they are spatially similar, but far greater in magnitude, than those observed during the El Niño events in recent decades that adversely affected species in the region.

  1. Climate change in Central America and Mexico: regional climate model validation and climate change projections

    Energy Technology Data Exchange (ETDEWEB)

    Karmalkar, Ambarish V. [University of Oxford, School of Geography and the Environment, Oxford (United Kingdom); Bradley, Raymond S. [University of Massachusetts, Department of Geosciences, Amherst, MA (United States); Diaz, Henry F. [NOAA/ESRL/CIRES, Boulder, CO (United States)

    2011-08-15

    Central America has high biodiversity, it harbors high-value ecosystems and it's important to provide regional climate change information to assist in adaptation and mitigation work in the region. Here we study climate change projections for Central America and Mexico using a regional climate model. The model evaluation shows its success in simulating spatial and temporal variability of temperature and precipitation and also in capturing regional climate features such as the bimodal annual cycle of precipitation and the Caribbean low-level jet. A variety of climate regimes within the model domain are also better identified in the regional model simulation due to improved resolution of topographic features. Although, the model suffers from large precipitation biases, it shows improvements over the coarse-resolution driving model in simulating precipitation amounts. The model shows a dry bias in the wet season and a wet bias in the dry season suggesting that it's unable to capture the full range of precipitation variability. Projected warming under the A2 scenario is higher in the wet season than that in the dry season with the Yucatan Peninsula experiencing highest warming. A large reduction in precipitation in the wet season is projected for the region, whereas parts of Central America that receive a considerable amount of moisture in the form of orographic precipitation show significant decreases in precipitation in the dry season. Projected climatic changes can have detrimental impacts on biodiversity as they are spatially similar, but far greater in magnitude, than those observed during the El Nino events in recent decades that adversely affected species in the region. (orig.)

  2. EURO-CORDEX regional climate models: Performance over Mediterranean region

    Science.gov (United States)

    Stilinović, Tomislav; Güttler, Ivan; Srnec, Lidija; Branković, Čedo

    2017-04-01

    of this study will provide the basis for the selection of combinations of RCMs and GCMs for investigate the impacts of climate change over Mediterranean region.

  3. USGS Dynamical Downscaled Regional Climate

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — We have completed an array of high-resolution simulations of present and future climate over Western North America (WNA) and Eastern North America (ENA) by...

  4. Evaluating the performance and utility of regional climate models

    DEFF Research Database (Denmark)

    Christensen, Jens H.; Carter, Timothy R.; Rummukainen, Markku

    2007-01-01

    This special issue of Climatic Change contains a series of research articles documenting co-ordinated work carried out within a 3-year European Union project 'Prediction of Regional scenarios and Uncertainties for Defining European Climate change risks and Effects' (PRUDENCE). The main objective...... of the PRUDENCE project was to provide high resolution climate change scenarios for Europe at the end of the twenty-first century by means of dynamical downscaling (regional climate modelling) of global climate simulations. The first part of the issue comprises seven overarching PRUDENCE papers on: (1) the design...... of the model simulations and analyses of climate model performance, (2 and 3) evaluation and intercomparison of simulated climate changes, (4 and 5) specialised analyses of impacts on water resources and on other sectors including agriculture, ecosystems, energy, and transport, (6) investigation of extreme...

  5. Climate variability and change: a perspective from the oceania region

    Science.gov (United States)

    Beer, Tom

    2014-12-01

    This brief review identifies seven key science questions in relation to climate variability and change and examines recent research within the Australian and Pacific context: 1. How do the key processes controlling climate variability and predictability operate? 2. What are the nature and causes of regional climate anomalies, past variations in regional climate and extreme weather events and how will they change in the future? 3. How can we provide improved seasonal-to-interannual climate predictions? 4. What are the best projection methods? 5. What are the sea-level changes now and in the future; and how will these impact the coasts? 6. How to have significant benefits on climate service delivery and environmental management? 7. What are the best methods for assessing climate change risks, vulnerability and adaptation options?

  6. Regional Collaborations to Combat Climate Change: The Climate Science Centers as Strategies for Climate Adaptation

    Science.gov (United States)

    Morelli, T. L.; Palmer, R. N.

    2014-12-01

    The Department of Interior Northeast Climate Science Center (NE CSC) is part of a federal network of eight Climate Science Centers created to provide scientific information, tools, and techniques that managers and other parties interested in land, water, wildlife and cultural resources can use to anticipate, monitor, and adapt to climate change. The consortium approach taken by the CSCs allows the academic side of the Centers to gather expertise across departments, disciplines, and even institutions. This interdisciplinary approach is needed for successfully meeting regional needs for climate impact assessment, adaptive management, education, and stakeholder outreach. Partnership with the federal government facilitates interactions with the key on-the-ground stakeholders who are able to operationalize the results and conclusions of that research, monitor the progress of management actions, and provide feedback to refine future methodology and decisions as new information on climate impacts is discovered. For example, NE CSC researchers are analyzing the effect of climate change on the timing and volume of seasonal and annual streamflows and the concomitant effects on ecological and cultural resources; developing techniques to monitor tree range dynamics as affected by natural disturbances which can enable adaptation of projected climate impacts; studying the effects of changes in the frequency and magnitude of drought and stream temperature on brook trout habitats, spatial distribution and population persistence; and conducting assessments of northeastern regional climate projections and high-resolution downscaling. Project methods are being developed in collaboration with stakeholders and results are being shared broadly with federal, state, and other partners to implement and refine effective and adaptive management actions.

  7. Reliability of regional climate model trends

    OpenAIRE

    G. J. van Oldenborgh; Doblas Reyes, F. J.; Drijfhout, S.S.; Hawkins, Ed

    2013-01-01

    A necessary condition for a good probabilistic forecast is that the forecast system is shown to be reliable: forecast probabilities should equal observed probabilities verified over a large number of cases. As climate change trends are now emerging from the natural variability, we can apply this concept to climate predictions and compute the reliability of simulated local and regional temperature and precipitation trends (1950–2011) in a recent multi-model ensemble of climate model simulation...

  8. Signal to noise quantification of regional climate projections

    Science.gov (United States)

    Li, S.; Rupp, D. E.; Mote, P.

    2016-12-01

    One of the biggest challenges in interpreting climate model outputs for impacts studies and adaptation planning is understanding the sources of disagreement among models (which is often used imperfectly as a stand-in for system uncertainty). Internal variability is a primary source of uncertainty in climate projections, especially for precipitation, for which models disagree about even the sign of changes in large areas like the continental US. Taking advantage of a large initial-condition ensemble of regional climate simulations, this study quantifies the magnitude of changes forced by increasing greenhouse gas concentrations relative to internal variability. Results come from a large initial-condition ensemble of regional climate model simulations generated by weather@home, a citizen science computing platform, where the western United States climate was simulated for the recent past (1985-2014) and future (2030-2059) using a 25-km horizontal resolution regional climate model (HadRM3P) nested in global atmospheric model (HadAM3P). We quantify grid point level signal-to-noise not just in temperature and precipitation responses, but also the energy and moisture flux terms that are related to temperature and precipitation responses, to provide important insights regarding uncertainty in climate change projections at local and regional scales. These results will aid modelers in determining appropriate ensemble sizes for different climate variables and help users of climate model output with interpreting climate model projections.

  9. Concept analysis of safety climate in healthcare providers.

    Science.gov (United States)

    Lin, Ying-Siou; Lin, Yen-Chun; Lou, Meei-Fang

    2017-06-01

    To report an analysis of the concept of safety climate in healthcare providers. Compliance with safe work practices is essential to patient safety and care outcomes. Analysing the concept of safety climate from the perspective of healthcare providers could improve understanding of the correlations between safety climate and healthcare provider compliance with safe work practices, thus enhancing quality of patient care. Concept analysis. The electronic databases of CINAHL, MEDLINE, PubMed and Web of Science were searched for literature published between 1995-2015. Searches used the keywords 'safety climate' or 'safety culture' with 'hospital' or 'healthcare'. The concept analysis method of Walker and Avant analysed safety climate from the perspective of healthcare providers. Three attributes defined how healthcare providers define safety climate: (1) creation of safe working environment by senior management in healthcare organisations; (2) shared perception of healthcare providers about safety of their work environment; and (3) the effective dissemination of safety information. Antecedents included the characteristics of healthcare providers and healthcare organisations as a whole, and the types of work in which they are engaged. Consequences consisted of safety performance and safety outcomes. Most studies developed and assessed the survey tools of safety climate or safety culture, with a minority consisting of interventional measures for improving safety climate. More prospective studies are needed to create interventional measures for improving safety climate of healthcare providers. This study is provided as a reference for use in developing multidimensional safety climate assessment tools and interventional measures. The values healthcare teams emphasise with regard to safety can serve to improve safety performance. Having an understanding of the concept of and interventional measures for safety climate allows healthcare providers to ensure the safety of their

  10. CLIMATE IMPACTS ON REGIONAL WATER

    Science.gov (United States)

    The New England region (including the 6 New Englandstates plus upstate New York) offers a very diverse geography,matched by an equally diverse economy and humanpopulation. Livelihoods throughout the region are basedon service industries that depend heavily on comm...

  11. Changes in climate and changing climate regions in Slovakia

    Directory of Open Access Journals (Sweden)

    Labudová Lívia

    2015-09-01

    Full Text Available In the context of climate change, scientists discuss the relevant reference periods for the assessment of changes in climate. Recently, many studies have been published comparing recent conditions with the last reference period 1961–1990. In this paper, the trends of annual, seasonal and monthly average air temperature, as well as annual, seasonal and monthly precipitation totals in Slovakia, are presented to point out changes which will probably show up in the next reference period 1991–2020. In the second part of paper, changes in the climate regions in Slovakia are analysed, comparing spatial distributions in the period 1961–1990 and in the period 1961–2010.

  12. Selecting global climate models for regional climate change studies.

    Science.gov (United States)

    Pierce, David W; Barnett, Tim P; Santer, Benjamin D; Gleckler, Peter J

    2009-05-26

    Regional or local climate change modeling studies currently require starting with a global climate model, then downscaling to the region of interest. How should global models be chosen for such studies, and what effect do such choices have? This question is addressed in the context of a regional climate detection and attribution (D&A) study of January-February-March (JFM) temperature over the western U.S. Models are often selected for a regional D&A analysis based on the quality of the simulated regional climate. Accordingly, 42 performance metrics based on seasonal temperature and precipitation, the El Nino/Southern Oscillation (ENSO), and the Pacific Decadal Oscillation are constructed and applied to 21 global models. However, no strong relationship is found between the score of the models on the metrics and results of the D&A analysis. Instead, the importance of having ensembles of runs with enough realizations to reduce the effects of natural internal climate variability is emphasized. Also, the superiority of the multimodel ensemble average (MM) to any 1 individual model, already found in global studies examining the mean climate, is true in this regional study that includes measures of variability as well. Evidence is shown that this superiority is largely caused by the cancellation of offsetting errors in the individual global models. Results with both the MM and models picked randomly confirm the original D&A results of anthropogenically forced JFM temperature changes in the western U.S. Future projections of temperature do not depend on model performance until the 2080s, after which the better performing models show warmer temperatures.

  13. Implication of Agricultural Land Use Change on Regional Climate Projection

    Science.gov (United States)

    Wang, G.; Ahmed, K. F.; You, L.

    2015-12-01

    Agricultural land use plays an important role in land-atmosphere interaction. Agricultural activity is one of the most important processes driving human-induced land use land cover change (LULCC) in a region. In addition to future socioeconomic changes, climate-induced changes in crop yield represent another important factor shaping agricultural land use. In feedback, the resulting LULCC influences the direction and magnitude of global, regional and local climate change by altering Earth's radiative equilibrium. Therefore, assessment of climate change impact on future agricultural land use and its feedback is of great importance in climate change study. In this study, to evaluate the feedback of projected land use changes to the regional climate in West Africa, we employed an asynchronous coupling between a regional climate model (RegCM) and a prototype land use projection model (LandPro). The LandPro model, which was developed to project the future change in agricultural land use and the resulting shift in natural vegetation in West Africa, is a spatially explicit model that can account for both climate and socioeconomic changes in projecting future land use changes. In the asynchronously coupled modeling framework, LandPro was run for every five years during the period of 2005-2050 accounting for climate-induced change in crop yield and socioeconomic changes to project the land use pattern by the mid-21st century. Climate data at 0.5˚ was derived from RegCM to drive the crop model DSSAT for each of the five-year periods to simulate crop yields, which was then provided as input data to LandPro. Subsequently, the land use land cover map required to run RegCM was updated every five years using the outputs from the LandPro simulations. Results from the coupled model simulations improve the understanding of climate change impact on future land use and the resulting feedback to regional climate.

  14. Regional Climate Modeling : Progress, Challenges, and Prospects(Regional Climate Modeling for Monsoon System)

    OpenAIRE

    Yuqing, WANG; L. Ruby, LEUNG; John L., McGREGOR; Dong-Kyou, LEE; Wei-Chyung, WANG; Yihui, DING; Fujio, KIMURA; International Pacific Research Center, School of Ocean and Earth Science and Technology, University of Hawaii at Manoa; Pacific Northwest National Laboratory; CSIRO Atmospheric Research Division, PB1 Aspendale; Atmospheric Sciences Program, School of Earth and Environmental Sciences, Seoul National University; Atmospheric Sciences Research Center, State University of New York at Albany; National Climate Center, China Meteorological Administration; Terrestrial Environmental Research Center, University of Tsukuba:Frontier Research System for Global Change

    2004-01-01

    Regional climate modeling using regional climate models (RCMs) has matured over the past decade to enable meaningful utilization in a broad spectrum of applications. In this paper, the latest progress in regional climate modeling studies is reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment and seasonal climate predictions, climate process studies, and the study of regional climate predictability. Challenges and potential direction...

  15. Representing glaciers in a regional climate model

    Energy Technology Data Exchange (ETDEWEB)

    Kotlarski, Sven [Max Planck Institute for Meteorology, Hamburg (Germany); ETH Zurich, Institute for Atmospheric and Climate Science, Zurich (Switzerland); Jacob, Daniela; Podzun, Ralf [Max Planck Institute for Meteorology, Hamburg (Germany); Paul, Frank [University of Zurich, Department of Geography, Zurich (Switzerland)

    2010-01-15

    A glacier parameterization scheme has been developed and implemented into the regional climate model REMO. The new scheme interactively simulates the mass balance as well as changes of the areal extent of glaciers on a subgrid scale. The temporal evolution and the general magnitude of the simulated glacier mass balance in the European Alps are in good accordance with observations for the period 1958-1980, but the strong mass loss towards the end of the twentieth century is systematically underestimated. The simulated decrease of glacier area in the Alps between 1958 and 2003 ranges from -17.1 to -23.6%. The results indicate that observed glacier mass balances can be approximately reproduced within a regional climate model based on simplified concepts of glacier-climate interaction. However, realistic results can only be achieved by explicitly accounting for the subgrid variability of atmospheric parameters within a climate model grid box. (orig.)

  16. Regional Scale Analyses of Climate Change Impacts on Agriculture

    Science.gov (United States)

    Wolfe, D. W.; Hayhoe, K.

    2006-12-01

    New statistically downscaled climate modeling techniques provide an opportunity for improved regional analysis of climate change impacts on agriculture. Climate modeling outputs can often simultaneously meet the needs of those studying impacts on natural as well as managed ecosystems. Climate outputs can be used to drive existing forest or crop models, or livestock models (e.g., temperature-humidity index model predicting dairy milk production) for improved information on regional impact. High spatial resolution climate forecasts, combined with knowledge of seasonal temperatures or rainfall constraining species ranges, can be used to predict shifts in suitable habitat for invasive weeds, insects, and pathogens, as well as cash crops. Examples of climate thresholds affecting species range and species composition include: minimum winter temperature, duration of winter chilling (vernalization) hours (e.g., hours below 7.2 C), frost-free period, and frequency of high temperature stress days in summer. High resolution climate outputs can also be used to drive existing integrated pest management models predicting crop insect and disease pressure. Collectively, these analyses can be used to test hypotheses or provide insight into the impact of future climate change scenarios on species range shifts and threat from invasives, shifts in crop production zones, and timing and regional variation in economic impacts.

  17. The North American Regional Climate Change Assessment Program: Overview of Climate Change Results

    Science.gov (United States)

    Mearns, L. O.

    2012-12-01

    The North American Regional Climate Change Assessment Program (NARCCAP) is an international program that is serving the climate scenario needs of the United States, Canada, and northern Mexico. We are systematically investigating the uncertainties in regional scale projections of future climate and producing high resolution climate change scenarios using multiple regional climate models (RCMs) and multiple global model responses by nesting the RCMs within atmosphere ocean general circulation models (AOGCMs) forced with a medium-high emissions scenario, over a domain covering the conterminous US, northern Mexico, and most of Canada. The project also includes a validation component through nesting the participating RCMs within the NCEP reanalysis R2. The basic spatial resolution of the RCM simulations is 50 km. This program includes six different RCMs that have been used in various intercomparison programs in Europe and the United States. Four different AOGCMs provide boundary conditions to drive the RCMS for 30 years in the current climate and 30 years for the mid 21st century. The resulting climate model simulations form the basis for multiple high resolution climate scenarios that can be used in climate change impacts and adaptation assessments over North America. All 12 sets of current and future simulations have been completed. Measures of uncertainty across the multiple simulations are being developed by geophysical statisticians. In this overview talk, results from the various climate change experiments for various subregions, along with measures of uncertainty, will be presented

  18. Wind climate from the regional climate model REMO

    DEFF Research Database (Denmark)

    Larsén, Xiaoli Guo; Mann, Jakob; Berg, Jacob

    2010-01-01

    Selected outputs from simulations with the regional climate model REMO from the Max Planck Institute, Hamburg, Germany were studied in connection with wind energy resource assessment. It was found that the mean wind characteristics based on observations from six mid-latitude stations are well...

  19. Regional climate change and national responsibilities

    Science.gov (United States)

    Hansen, James; Sato, Makiko

    2016-03-01

    Global warming over the past several decades is now large enough that regional climate change is emerging above the noise of natural variability, especially in the summer at middle latitudes and year-round at low latitudes. Despite the small magnitude of warming relative to weather fluctuations, effects of the warming already have notable social and economic impacts. Global warming of 2 °C relative to preindustrial would shift the ‘bell curve’ defining temperature anomalies a factor of three larger than observed changes since the middle of the 20th century, with highly deleterious consequences. There is striking incongruity between the global distribution of nations principally responsible for fossil fuel CO2 emissions, known to be the main cause of climate change, and the regions suffering the greatest consequences from the warming, a fact with substantial implications for global energy and climate policies.

  20. Impacts of climate change on regional water resources

    OpenAIRE

    Rehana, S; Mujumdar, PP

    2013-01-01

    Water is the most important medium through which climate change influences human life. Rising temperatures together with regional changes in precipitation patterns are some of the impacts of climate change that have implications on water availability, frequency and intensity of floods and droughts, soil moisture, water quality, water supply and water demands for irrigation and hydropower generation. In this article we provide an introduction to the emerging field of hydrologic impacts of clim...

  1. Skillful prediction of northern climate provided by the ocean

    Science.gov (United States)

    Årthun, Marius; Eldevik, Tor; Viste, Ellen; Drange, Helge; Furevik, Tore; Johnson, Helen L.; Keenlyside, Noel S.

    2017-01-01

    It is commonly understood that a potential for skillful climate prediction resides in the ocean. It nevertheless remains unresolved to what extent variable ocean heat is imprinted on the atmosphere to realize its predictive potential over land. Here we assess from observations whether anomalous heat in the Gulf Stream's northern extension provides predictability of northwestern European and Arctic climate. We show that variations in ocean temperature in the high latitude North Atlantic and Nordic Seas are reflected in the climate of northwestern Europe and in winter Arctic sea ice extent. Statistical regression models show that a significant part of northern climate variability thus can be skillfully predicted up to a decade in advance based on the state of the ocean. Particularly, we predict that Norwegian air temperature will decrease over the coming years, although staying above the long-term (1981–2010) average. Winter Arctic sea ice extent will remain low but with a general increase towards 2020. PMID:28631732

  2. Climatic Effects of Regional Nuclear War

    Science.gov (United States)

    Oman, Luke D.

    2011-01-01

    We use a modern climate model and new estimates of smoke generated by fires in contemporary cities to calculate the response of the climate system to a regional nuclear war between emerging third world nuclear powers using 100 Hiroshima-size bombs (less than 0.03% of the explosive yield of the current global nuclear arsenal) on cities in the subtropics. We find significant cooling and reductions of precipitation lasting years, which would impact the global food supply. The climate changes are large and longlasting because the fuel loadings in modern cities are quite high and the subtropical solar insolation heats the resulting smoke cloud and lofts it into the high stratosphere, where removal mechanisms are slow. While the climate changes are less dramatic than found in previous "nuclear winter" simulations of a massive nuclear exchange between the superpowers, because less smoke is emitted, the changes seem to be more persistent because of improvements in representing aerosol processes and microphysical/dynamical interactions, including radiative heating effects, in newer global climate system models. The assumptions and calculations that go into these conclusions will be described.

  3. REGIONAL CLIMATE MODELING STUDY FOR THE CARPATHIAN REGION USING REGCM4 EXPERIMENTS

    Directory of Open Access Journals (Sweden)

    PIECZKA I.

    2015-03-01

    Full Text Available The newest model version of RegCM is adapted with the ultimate aim of providing climate projection for the Carpathian region with 10 km horizontal resolution. For this purpose, first, coarse resolution reanalysis data and global climate model outputs are used to drive 50 km resolution model experiments, from which the outputs are used to provide necessary boundary conditions for the fine scale model runs. Besides the historical runs (for the period 1981-2010, RCP4.5 scenario is also analyzed in this paper for the 21st century. These experiments are essential since they form the basis of national climate and adaptation strategies by providing detailed regional scale climatic projections and enabling specific impact studies for various sectors.

  4. The WASCAL regional climate simulations for West Africa - how to add value to existing climate projections

    Science.gov (United States)

    Arnault, J.; Heinzeller, D.; Klein, C.; Dieng, D.; Smiatek, G.; Bliefernicht, J.; Sylla, M. B.; Kunstmann, H.

    2015-12-01

    With climate change being one of the most severe challenges to rural Africa in the 21st century, West Africa is facing an urgent need to develop effective adaptation and mitigation measures to protect its constantly growing population. WASCAL (West African Science Service Center on Climate Change and Adapted Land Use) is a large-scale research-focused program designed to enhance the resilience of human and environmental systems to climate change and increased variability. An integral part of its climate services is the provisioning of a new set of high resolution, ensemble-based regional climate change scenarios for the region of West Africa. In this contribution, we present the overall concept of the WASCAL regional climate projections and provide information on the dissemination of the data. We discuss the model performance over the validation period for two of the three regional climate models employed, the Weather Research & Forecasting Tool (WRF) and the Consortium for Small-scale Modeling Model COSMO in Climate Mode (COSMO-CLM), and give details about a novel precipitation database used to verify the models. Particular attention is paid to the representation of the dynamics of the West African Summer Monsoon and to the added value of our high resolution models over existing data sets. We further present results on the climate change signal obtained from the WRF model runs for the periods 2020-2050 and 2070-2100 and compare them to current state-of-the-art projections from the CORDEX project. As an example, the figure shows the different climate change signals obtained for the total annual rainfall with respect to the 1980-2010 mean (WRF-E: WASCAL 12km high-resolution run MPI-ESM + WRFV3.5.1, CORDEX-E: 50km medium-resolution run MPI-ESM + RCA4, CORDEX-G: 50km medium-resolution run GFDL-ESM + RCA4).

  5. Protecting health from climate change in the WHO European Region.

    Science.gov (United States)

    Wolf, Tanja; Martinez, Gerardo Sanchez; Cheong, Hae-Kwan; Williams, Eloise; Menne, Bettina

    2014-06-16

    "How far are we in implementing climate change and health action in the WHO European Region?" This was the question addressed to representatives of WHO European Member States of the working group on health in climate change (HIC). Twenty-two Member States provided answers to a comprehensive questionnaire that focused around eight thematic areas (Governance; Vulnerability, impact and adaptation (health) assessments; Adaptation strategies and action plans; Climate change mitigation; Strengthening health systems; Raising awareness and building capacity; Greening health services; and Sharing best practices). Strong areas of development are climate change vulnerability and impact assessments, as well as strengthening health systems and awareness raising. Areas where implementation would benefit from further action are the development of National Health Adaptation Plans, greening health systems, sharing best practice and reducing greenhouse gas emissions in other sectors. At the Parma Conference in 2010, the European Ministerial Commitment to Act on climate change and health and the European Regional Framework for Action to protect health from climate change were endorsed by fifty three European Member States. The results of this questionnaire are the most comprehensive assessment so far of the progress made by WHO European Member States to protecting public health from climate change since the agreements in Parma and the World Health Assembly Resolution in 2008.

  6. Protecting Health from Climate Change in the WHO European Region

    Directory of Open Access Journals (Sweden)

    Tanja Wolf

    2014-06-01

    Full Text Available “How far are we in implementing climate change and health action in the WHO European Region?” This was the question addressed to representatives of WHO European Member States of the working group on health in climate change (HIC. Twenty-two Member States provided answers to a comprehensive questionnaire that focused around eight thematic areas (Governance; Vulnerability, impact and adaptation (health assessments; Adaptation strategies and action plans; Climate change mitigation; Strengthening health systems; Raising awareness and building capacity; Greening health services; and Sharing best practices. Strong areas of development are climate change vulnerability and impact assessments, as well as strengthening health systems and awareness raising. Areas where implementation would benefit from further action are the development of National Health Adaptation Plans, greening health systems, sharing best practice and reducing greenhouse gas emissions in other sectors. At the Parma Conference in 2010, the European Ministerial Commitment to Act on climate change and health and the European Regional Framework for Action to protect health from climate change were endorsed by fifty three European Member States. The results of this questionnaire are the most comprehensive assessment so far of the progress made by WHO European Member States to protecting public health from climate change since the agreements in Parma and the World Health Assembly Resolution in 2008.

  7. Regional analysis of ground and above-ground climate

    Energy Technology Data Exchange (ETDEWEB)

    1981-12-01

    The regional suitability of underground construction as a climate control technique is discussed with reference to (1) a bioclimatic analysis of long-term weather data for 29 locations in the United States to determine appropriate above ground climate control techniques, (2) a data base of synthesized ground temperatures for the coterminous United States, and (3) monthly dew point ground temperature comparisons for identifying the relative likelihood of condensation from one region to another. It is concluded that the suitability of earth tempering as a practice and of specific earth-sheltered design stereotypes varies geographically; while the subsurface almost always provides a thermal advantage on its own terms when compared to above ground climatic data, it can, nonetheless, compromise the effectiveness of other, regionally more important climate control techniques. Also contained in the report are reviews of above and below ground climate mapping schemes related to human comfort and architectural design, and detailed description of a theoretical model of ground temperature, heat flow, and heat storage in the ground. Strategies of passive climate control are presented in a discussion of the building bioclimatic analysis procedure which has been applied in a computer analysis of 30 years of weather data for each of 29 locations in the United States.

  8. Climate Change Assessments for Lakes Region of Turkey

    Directory of Open Access Journals (Sweden)

    Ayten Erol

    2012-07-01

    Full Text Available Climate change is one of the most important challenges for forestry. Forests are known to be most efficient natural tools to ensure availability and quality of water in many regions. Besides, planning of forest resources towards water quality and quantity is essential in countries that are expected to face with more frequent drought periods in the next decades due to climate change. Watershed management concept has been supposed as the primary tool to plan natural resources in a more efficient and sustainable way by both academicians and practitioners to mitigate and adapt climate change. Forest cover among other land use types provides the best regulating mechanism to mitigate erosion, sedimentation, desertification, and pollution. In addition, climate change can potentially affect forest stand dynamics by influencing the availability of water resources. Therefore, the amount of forest cover in a watershed is an indicator of climate change mitigation and adaptation. Climate change is a concern and risk for the sustainability of water resources in Lakes Region of Turkey. The objective of this study is to make a comprehensive assessment in lake watersheds of the Lakes region considering the forest cover. For this purpose, the study gives a general view of trends in climatic parameters using Mann Kendall trend test. The results showed that Mann Kendall trend test for temperature and precipitation data is not enough to evaluate the magnitude of potential changes of climate in terms of forest cover. Understanding impacts of changes in temperature and precipitation on forest cover, runoff data should be evaluated with temperature and precipitation for watersheds of forest areas in Lakes Region.

  9. Portuguese wine regions under a changing climate

    Science.gov (United States)

    Santos, João A.; Fraga, Helder; Malheiro, Aureliano C.; Moutinho-Pereira, José; Jones, Gregory V.; Pinto, Joaquim G.

    2014-05-01

    Viticulture and wine production are among the most important sectors of the Portuguese economy. However, as grapevines are strongly affected by weather and climate, climate change may represent an important threat to wine production. The current (1950-2000) and future (2041-2070) bioclimatic conditions in Portugal are discussed by analyzing a number of indices suitable for viticultural zoning, including a categorized bioclimatic index. A two-step method of spatial pattern downscaling is applied in order to achieve a very high spatial resolution (of approximately 1 km) throughout Portugal. Future projections are based on an ensemble of 13 climate model transient experiments, forced by the SRES A1B emission scenario. Results for the recent past are in clear agreement with the current distribution of vineyards and of the established Denomination of Origin regions. Furthermore, the typical climatic conditions associated with each grapevine variety that are currently grown in Portugal are assessed. Under future scenarios, nevertheless, the current conditions are projected to change significantly towards a lower bioclimatic diversity. This can be explained by the projected warming and drying in future decades. The resulting changes in varietal suitability and wine characteristics of each region may thereby bring important challenges for the Portuguese winemaking sector. As such, new measures need to be timely implemented to adapt to these climate change projections and to mitigate their likely detrimental impacts on the Portuguese economy. Acknowledgments: this work is supported by European Union Funds (FEDER/COMPETE - Operational Competitiveness Programme) and by national funds (FCT - Portuguese Foundation for Science and Technology) under the project ClimVineSafe (PTDC/AGR-ALI/110877/2009).

  10. Can climate-effective land management reduce regional warming?

    Science.gov (United States)

    Hirsch, A. L.; Wilhelm, M.; Davin, E. L.; Thiery, W.; Seneviratne, S. I.

    2017-02-01

    Limiting global warming to well below 2°C is an imminent challenge for humanity. However, even if this global target can be met, some regions are still likely to experience substantial warming relative to others. Using idealized global climate simulations, we examine the potential of land management options in affecting regional climate, with a focus on crop albedo enhancement and irrigation (climate-effective land management). The implementation is performed over all crop regions globally to provide an upper bound. We find that the implementation of both crop albedo enhancement and irrigation can reduce hot temperature extremes by more than 2°C in North America, Eurasia, and India over the 21st century relative to a scenario without management application. The efficacy of crop albedo enhancement scales with the magnitude, where a cooling response exceeding 0.5°C for hot temperature extremes was achieved with a large (i.e., ≥0.08) change in crop albedo. Regional differences were attributed to the surface energy balance response with temperature changes mostly explained by latent heat flux changes for irrigation and net shortwave radiation changes for crop albedo enhancement. However, limitations do exist, where we identify warming over the winter months when climate-effective land management is temporarily suspended. This was associated with persistent cloud cover that enhances longwave warming. It cannot be confirmed if the magnitude of this feedback is reproducible in other climate models. Our results overall demonstrate that regional warming of hot extremes in our climate model can be partially mitigated when using an idealized treatment of climate-effective land management.

  11. Climatic consequences of regional nuclear conflicts

    Directory of Open Access Journals (Sweden)

    A. Robock

    2007-01-01

    Full Text Available We use a modern climate model and new estimates of smoke generated by fires in contemporary cities to calculate the response of the climate system to a regional nuclear war between emerging third world nuclear powers using 100 Hiroshima-size bombs (less than 0.03% of the explosive yield of the current global nuclear arsenal on cities in the subtropics. We find significant cooling and reductions of precipitation lasting years, which would impact the global food supply. The climate changes are large and long-lasting because the fuel loadings in modern cities are quite high and the subtropical solar insolation heats the resulting smoke cloud and lofts it into the high stratosphere, where removal mechanisms are slow. While the climate changes are less dramatic than found in previous "nuclear winter" simulations of a massive nuclear exchange between the superpowers, because less smoke is emitted, the changes are more long-lasting because the older models did not adequately represent the stratospheric plume rise.

  12. Production and use of regional climate model projections - A Swedish perspective on building climate services.

    Science.gov (United States)

    Kjellström, Erik; Bärring, Lars; Nikulin, Grigory; Nilsson, Carin; Persson, Gunn; Strandberg, Gustav

    2016-09-01

    We describe the process of building a climate service centred on regional climate model results from the Rossby Centre regional climate model RCA4. The climate service has as its central facility a web service provided by the Swedish Meteorological and Hydrological Institute where users can get an idea of various aspects of climate change from a suite of maps, diagrams, explaining texts and user guides. Here we present the contents of the web service and how this has been designed and developed in collaboration with users of the service in a dialogue reaching over more than a decade. We also present the ensemble of climate projections with RCA4 that provides the fundamental climate information presented at the web service. In this context, RCA4 has been used to downscale nine different coupled atmosphere-ocean general circulation models (AOGCMs) from the 5th Coupled Model Intercomparison Project (CMIP5) to 0.44° (c. 50 km) horizontal resolution over Europe. Further, we investigate how this ensemble relates to the CMIP5 ensemble. We find that the iterative approach involving the users of the climate service has been successful as the service is widely used and is an important source of information for work on climate adaptation in Sweden. The RCA4 ensemble samples a large degree of the spread in the CMIP5 ensemble implying that it can be used to illustrate uncertainties and robustness in future climate change in Sweden. The results also show that RCA4 changes results compared to the underlying AOGCMs, sometimes in a systematic way.

  13. Climate change velocity underestimates climate change exposure in mountainous regions

    Science.gov (United States)

    Solomon Z. Dobrowski; Sean A. Parks

    2016-01-01

    Climate change velocity is a vector depiction of the rate of climate displacement used for assessing climate change impacts. Interpreting velocity requires an assumption that climate trajectory length is proportional to climate change exposure; longer paths suggest greater exposure. However, distance is an imperfect measure of exposure because it does not...

  14. Climate Impacts on Northern Canada: Regional Background

    Energy Technology Data Exchange (ETDEWEB)

    Prowse, Terry D.; Peters, Daniel L. (Water and Climate Impacts Research Centre, Environment Canada, Dept. of Geography, Univ. of Victoria, Victoria, BC (Canada)). e-mail: terry.prowse@ec.gc.caa; Furgal, Chris (Indigenous Environmental Studies Program, Trent Univ., Peterborough, ON (Canada)); Bonsal, Barrie R. (National Water Research Inst., National Hydrology Research Centre, Environment Canada, Saskatoon, SK (Canada))

    2009-07-15

    Understanding the implications of climate change on northern Canada requires a background about the size and diversity of its human and biogeophysical systems. Occupying an area of almost 40% of Canada, with one-third of this contained in Arctic islands, Canada's northern territories consist of a diversity of physical environments unrivaled around the circumpolar north. Major ecozones composed of a range of landforms, climate, vegetation, and wildlife include: Arctic, boreal and taiga cordillera; boreal and taiga plains; taiga shield; and northern and southern Arctic. Although generally characterized by a cold climate, there is an enormous range in air temperature with mean annual values being as high as -5 deg C in the south to as low as -20 deg C in the high Arctic islands. A similar contrast characterizes precipitation, which can be >700 mm y-1 in some southern alpine regions to as low as 50 mm y-1 over islands of the high Arctic. Major freshwater resources are found within most northern ecozones, varying from large glaciers or ice caps and lakes to extensive wetlands and peat lands. Most of the North's renewable water, however, is found within its major river networks and originates in more southerly headwaters. Ice covers characterize the freshwater systems for multiple months of the year while permafrost prevails in various forms, dominating the terrestrial landscape. The marine environment, which envelops the Canadian Arctic Archipelago, is dominated by seasonal to multiyear sea ice often several meters thick that plays a key role in the regional climate. Almost two-thirds of northern Canadian communities are located along coastlines with the entire population being just over 100 000. Most recent population growth has been dominated by an expansion of nonaboriginals, primarily the result of resource development and the growth of public administration. The economies of northern communities, however, remain quite mixed with traditional land

  15. Providing Climate Policy Makers With a Strong Scientific Base (Invited)

    Science.gov (United States)

    Struzik, E.

    2009-12-01

    Scientists can and should inform public policy decisions in the Arctic. But the pace of climate change in the polar world has been occurring far more quickly than most scientists have been able to predict. This creates problems for decision-makers who recognize that difficult management decisions have to be made in matters pertaining to wildlife management, cultural integrity and economic development. With sea ice melting, glaciers receding, permafrost thawing, forest fires intensifying, and disease and invasive species rapidly moving north, the challenge for scientists to provide climate policy makers with a strong scientific base has been daunting. Clashing as this data sometimes does with the “traditional knowledge” of indigenous peoples in the north, it can also become very political. As a result the need to effectively communicate complex data is more imperative now than ever before. Here, the author describes how the work of scientists can often be misinterpreted or exploited in ways that were not intended. Examples include the inappropriate use of scientific data in decision-making on polar bears, caribou and other wildlife populations; the use of scientific data to debunk the fact that greenhouse gases are driving climate change, and the use of scientific data to position one scientist against another when there is no inherent conflict. This work will highlight the need for climate policy makers to increase support for scientists working in the Arctic, as well as illustrate why it is important to find new and more effective ways of communicating scientific data. Strategies that might be considered by granting agencies, scientists and climate policy decision-makers will also be discussed.

  16. ClimateImpactsOnline: A web platform for regional climate impacts

    Science.gov (United States)

    Nocke, Thomas

    2013-04-01

    Climate change is widely known but there is often uncertainty about the specific effects. One of the key tasks is - beyond discussing climate change and its impacts in specialist groups - to present these to a wider audience. In that respect, decision-makers in the public sector as well as directly affected professional groups require to obtain easy-to-understand information. These groups are not made up of specialist scientists. This gives rise to two challenges: (1) the complex information must be presented such that it is commonly understood, and (2) access to the information must be easy. Interested parties do not have time to familiarize themselves over a lengthy period, but rather want to immediately work with the information. Beside providing climate information globally, regional information become of increasing interest for local decision making regarding awareness building and adaptation options. In addition, current web portals mainly focus on climate information, considering climate impacts on different sectors only implicitly. As solution, Potsdam Institute for Climate Impact Research and WetterOnline have jointly developed an Internet portal that is easy to use, groups together interesting information about climate impacts and offers it in a directly usable form. This new web portal ClimateImpactsOnline.com provides detailed information, combining multiple sectors for the test case of Germany. For this region, numerous individual studies on climate change have been prepared by various institutions. These studies differ in terms of their aim, region and time period of interest. Thus, the goal of ClimateImpactsOnline.com is to present a synthesized view on regional impacts of global climate change on hydrology, agriculture, forest, energy, tourism and health sector. The climate and impact variables are available on a decadal time resolution for the period from 1901-2100, combining observed data and future projections. Detailed information are presented

  17. Climate in Context - How partnerships evolve in regions

    Science.gov (United States)

    Parris, A. S.

    2014-12-01

    In 2015, NOAA's RISA program will celebrate its 20th year of exploration in the development of usable climate information. In the mid-1990s, a vision emerged to develop interdisciplinary research efforts at the regional scale for several important reasons. Recognizable climate patterns, such as the El Nino Southern Oscillation (ENSO), emerge at the regional level where our understanding of observations and models coalesce. Critical resources for society are managed in a context of regional systems, such as water supply and human populations. Multiple scales of governance (local, state, and federal) with complex institutional relationships can be examined across a region. Climate information (i.e. data, science, research etc) developed within these contexts has greater potential for use. All of this work rests on a foundation of iterative engagement between scientists and decision makers. Throughout these interactions, RISAs have navigated diverse politics, extreme events and disasters, socio-economic and ecological disruptions, and advances in both science and technology. Our understanding of information needs is evolving into a richer understanding of complex institutional, legal, political, and cultural contexts within which people can use science to make informed decisions. The outcome of RISA work includes both cases where climate information was used in decisions and cases where capacity for using climate information and making climate resilient decisions has increased over time. In addition to balancing supply and demand of scientific information, RISAs are engaged in a social process of reconciling climate information use with important drivers of society. Because partnerships are critical for sustained engagement, and because engagement is critically important to the use of science, the rapid development of new capacity in regionally-based science programs focused on providing climate decision support is both needed and challenging. New actors can bolster

  18. Regional projections of North Indian climate for adaptation studies.

    Science.gov (United States)

    Mathison, Camilla; Wiltshire, Andrew; Dimri, A P; Falloon, Pete; Jacob, Daniela; Kumar, Pankaj; Moors, Eddy; Ridley, Jeff; Siderius, Christian; Stoffel, Markus; Yasunari, T

    2013-12-01

    Adaptation is increasingly important for regions around the world where large changes in climate could have an impact on populations and industry. The Brahmaputra-Ganges catchments have a large population, a main industry of agriculture and a growing hydro-power industry, making the region susceptible to changes in the Indian Summer Monsoon, annually the main water source. The HighNoon project has completed four regional climate model simulations for India and the Himalaya at high resolution (25km) from 1960 to 2100 to provide an ensemble of simulations for the region. In this paper we have assessed the ensemble for these catchments, comparing the simulations with observations, to give credence that the simulations provide a realistic representation of atmospheric processes and therefore future climate. We have illustrated how these simulations could be used to provide information on potential future climate impacts and therefore aid decision-making using climatology and threshold analysis. The ensemble analysis shows an increase in temperature between the baseline (1970-2000) and the 2050s (2040-2070) of between 2 and 4°C and an increase in the number of days with maximum temperatures above 28°C and 35°C. There is less certainty for precipitation and runoff which show considerable variability, even in this relatively small ensemble, spanning zero. The HighNoon ensemble is the most complete data for the region providing useful information on a wide range of variables for the regional climate of the Brahmaputra-Ganges region, however there are processes not yet included in the models that could have an impact on the simulations of future climate. We have discussed these processes and show that the range from the HighNoon ensemble is similar in magnitude to potential changes in projections where these processes are included. Therefore strategies for adaptation must be robust and flexible allowing for advances in the science and natural environmental changes

  19. Daily precipitation statistics in regional climate models

    DEFF Research Database (Denmark)

    Frei, Christoph; Christensen, Jens Hesselbjerg; Déqué, Michel

    2003-01-01

    for other statistics. In summer, all models underestimate precipitation intensity (by 16-42%) and there is a too low frequency of heavy events. This bias reflects too dry summer mean conditions in three of the models, while it is partly compensated by too many low-intensity events in the other two models......An evaluation is undertaken of the statistics of daily precipitation as simulated by five regional climate models using comprehensive observations in the region of the European Alps. Four limited area models and one variable-resolution global model are considered, all with a grid spacing of 50 km....... The 15-year integrations were forced from reanalyses and observed sea surface temperature and sea ice (global model from sea surface only). The observational reference is based on 6400 rain gauge records (10-50 stations per grid box). Evaluation statistics encompass mean precipitation, wet-day frequency...

  20. Regional climate change-Science in the Southeast

    Science.gov (United States)

    Jones, Sonya A.

    2010-01-01

    Resource managers are at the forefront of a new era of management. They must consider the potential impacts of climate change on the Nation's resources and proactively develop strategies for dealing with those impacts on plants, animals, and ecosystems. This requires rigorous, scientific understanding of environmental change. The role of the U.S. Geological Survey (USGS) in this effort is to analyze climate-change data and develop tools for assessing how changing conditions are likely to impact resources. This information will assist Federal, State, local, and tribal partners manage resources strategically. The 2008 Omnibus Budget Act and Secretarial Order 3289 established a new network of eight Department of Interior Regional Climate Science Centers to provide technical support for resource managers. The Southeast Regional Assessment Project (SERAP) is the first regional assessment to be funded by the USGS National Climate Change and Wildlife Science Center (http://nccw.usgs.gov/). The USGS is working closely with the developing Department of Interior Landscape Conservation Cooperatives to ensure that the project will meet the needs of resource managers in the Southeast. In addition, the U.S. Fish and Wildlife Service is providing resources to the SERAP to expand the scope of the project.

  1. Downscaled climate change projections for the Hindu Kush Himalayan region using CORDEX South Asia regional climate models

    Directory of Open Access Journals (Sweden)

    Jayanarayanan Sanjay

    2017-09-01

    Full Text Available This study assessed the regional climate models (RCMs employed in the Coordinated Regional climate Downscaling Experiment (CORDEX South Asia framework to investigate the qualitative aspects of future change in seasonal mean near surface air temperature and precipitation over the Hindu Kush Himalayan (HKH region. These RCMs downscaled a subset of atmosphere ocean coupled global climate models (AOGCMs in the Coupled Model Intercomparison Project phase 5 (CMIP5 to higher 50 km spatial resolution over a large domain covering South Asia for two representation concentration pathways (RCP4.5 and RCP8.5 future scenarios. The analysis specifically examined and evaluated multi-model and multi-scenario climate change projections over the hilly sub-regions within HKH for the near-future (2036–2065 and far-future (2066–2095 periods. The downscaled multi-RCMs provide relatively better confidence than their driving AOGCMs in projecting the magnitude of seasonal warming for the hilly sub-region within the Karakoram and northwestern Himalaya, with higher projected change of 5.4 °C during winter than of 4.9 °C during summer monsoon season by the end of 21st century under the high-end emissions (RCP8.5 scenario. There is less agreement among these RCMs on the magnitude of the projected warming over the other sub-regions within HKH for both seasons, particularly associated with higher RCM uncertainty for the hilly sub-region within the central Himalaya. The downscaled multi-RCMs show good consensus and low RCM uncertainty in projecting that the summer monsoon precipitation will intensify by about 22% in the hilly sub-region within the southeastern Himalaya and Tibetan Plateau for the far-future period under the RCP8.5 scenario. There is low confidence in the projected changes in the summer monsoon and winter season precipitation over the central Himalaya and in the Karakoram and northwestern Himalaya due to poor consensus and moderate to high RCM

  2. How robust and (un)certain are regional climate models over the Himalayas?

    OpenAIRE

    A. P. Dimri

    2014-01-01

    Regional Climate Model(s) (RCMs) are sensitive towards presentation of regional climate of Indian winter monsoon (IWM) over the western Himalayas (WH). They illustrate robust nature in representing regional climate at mountain scale and even at event scale. While downscaling outputs, from these models, at basin level for hydrological and glaciological studies, it is found that RCMs fail to provide realistic figures. And hence, in the present paper, using the Siachen glacier ...

  3. REGIONAL CLIMATE CHANGE IN THE TYVA REPUBLIC

    Directory of Open Access Journals (Sweden)

    Kh. B. Kuular

    2017-01-01

    Full Text Available This paper summarizes the results of research on long-term variability of anomalies of annual temperatures in the Tyva Republic. The climate in the region is sharp continental, characterized by large temperature variability, both in diurnal and annual course. Anticyclone dry and clear weather dominates over the territory of the region. Multi-year temperature trends calculated for each month served as a basis for analysis of annual cycle of temperature trends at each station for the period of 1961-2016. The average annual temperature amounted to -3.4 ± 1.1 °С (1961-1990. Precipitation distribution is varied, for warm period precipitation is higher 80-87 % (annual precipitation is 180-325 mm, and for cold period precipitation is very low, about 20-13 %. Global warming is accompanied by changes in regional climate and seasonal features. The average annual air temperatures during 1975-2005 represent the warmest years. This is also reflected in the trends of the average monthly, seasonal and annual air temperatures. When comparing the longterm average air temperature in the period of 1975-2016 with the 1961-1990 period, from November to March increased by 1.3 °С and from April to October – by 1°С. The first years of the 21st century were the warmest years in the history of meteorological measurements in republic. During the period of 2000-2016 was one of, in the cold season the temperature increased by 1.9 °С and in the warmer time of the year – by 1.3 °С. However, it was frosty during January. This trend indicates an increased risk of higher fluctuations of the air temperature in the republic.

  4. Regional climate scenarios for use in Nordic water resources studies

    DEFF Research Database (Denmark)

    Rummukainen, Markku; Räisänen, J.; Bjørge, D.

    2003-01-01

    are typically geographically too coarse to well represent many regional or local features. In the Nordic region, climate studies are conducted in each of the Nordic countries to prepare regional climate projections with more detail than in global ones. Results so far indicate larger temperature changes...... in the Nordic region than in the global mean, regional increases and decreases in net precipitation, longer growing season, shorter snow season etc. These in turn affect runoff, snowpack, groundwater, soil frost and moisture, and thus hydropower production potential, flooding risks etc. Regional climate models......According to global climate projections, a substantial global climate change will occur during the next decades, under the assumption of continuous anthropogenic climate forcing. Global models, although fundamental in simulating the response of the climate system to anthropogenic forcing...

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

    Science.gov (United States)

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

    2010-09-01

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

  6. Scientific Analysis and Documentation Provided by EPA Regional Labs

    Science.gov (United States)

    The 10 EPA Regional laboratories provide maximum flexibility to support Agency response to natural disasters and emergencies by developing effective approaches for a wide range of analytical challenges.

  7. The regional impacts of climate change: an assessment of vulnerability

    National Research Council Canada - National Science Library

    Zinyowera, Marufu C; Moss, Richard H; Watson, R. T

    1998-01-01

    .... The Regional Impacts of Climate Change: An Assessment of Vulnerability reviews state-of-the-art information on potential impacts of climate change for ecological systems, water supply, food production, coastal infrastructure, human health...

  8. Anthropogenic climate change in the Playa Lakes Joint Venture region

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Anthropogenic climate change has been driving regional climate shifts in the Playa Lakes Joint Venture zone since at least the mid 1970s. As a result, summers are...

  9. Holocene climate changes in the Cape Hatteras region

    Science.gov (United States)

    Naughton, F.; Keigwin, L. D.; Peteet, D. M.; Desprat, S.; Oliveira, D.; Abrantes, F.

    2013-12-01

    In the last century many studies have been done in various naturally occurring archives to understand the nature, timing and causes of Holocene natural climate oscillations. Most of the available Holocene climatic reconstructions are however, not based on a direct comparison of terrestrial, marine and ice records making it difficult to obtain an accurate understanding of the interactions of the atmosphere-ocean-land systems and their relationship in global climate variability. Few studies based on direct sea land comparison have been reported for some key areas of the eastern North Atlantic but almost none in the western North Atlantic. Here we present a direct comparison between terrestrial (pollen) and marine (planktonic δ18O) proxies from a well dated (ten AMS 14C dates on planktonic foraminifera and seaweed) slope core (KNR 178-2 JPC 32), retrieved close to Cape Hatteras (35°58.58'N, 74°42.77'W, 1006 m). This study provides information on eastern North America vegetation and on the northwestern Atlantic sea surface response to both Holocene long-term and rapid climate changes. Five intervals, marked mainly by changes in temperate trees are associated with long term climate shifts (12000-9150 ka; 9150-7250 ka; 7250-5350 ka; 5350-2800 ka; 2800-700 ka). Over these intervals, several abrupt cooling events are noted, as well as several indications of shifts in moisture. The comparison of our data with those available and unpublished records from several key sites of the North Atlantic region, gives insights into the nature, timing and causes of Holocene climate oscillations in the North Atlantic region and in particular off Cape Hatteras.

  10. Characterizing Uncertainty for Regional Climate Change Mitigation and Adaptation Decisions

    Energy Technology Data Exchange (ETDEWEB)

    Unwin, Stephen D.; Moss, Richard H.; Rice, Jennie S.; Scott, Michael J.

    2011-09-30

    This white paper describes the results of new research to develop an uncertainty characterization process to help address the challenges of regional climate change mitigation and adaptation decisions.

  11. Regional aerosol emissions and temperature response: Local and remote climate impacts of regional aerosol forcing

    Science.gov (United States)

    Lewinschal, Anna; Ekman, Annica; Hansson, Hans-Christen

    2017-04-01

    Emissions of anthropogenic aerosols vary substantially over the globe and the short atmospheric residence time of aerosols leads to a highly uneven radiative forcing distribution, both spatially and temporally. Regional aerosol radiative forcing can, nevertheless, exert a large influence on the temperature field away from the forcing region through changes in heat transport or the atmospheric or ocean circulation. Moreover, the global temperature response distribution to aerosol forcing may vary depending on the geographical location of the forcing. In other words, the climate sensitivity in one region can vary depending on the location of the forcing. The surface temperature distribution response to changes in sulphate aerosol forcing caused by sulphur dioxide (SO2) emission perturbations in four different regions is investigated using the Norwegian Earth System Model (NorESM). The four regions, Europe, North America, East and South Asia, are all regions with historically high aerosol emissions and are relevant from both an air-quality and climate policy perspective. All emission perturbations are defined relative to the year 2000 emissions provided for the Coupled Model Intercomparison Project phase 5. The global mean temperature change per unit SO2 emission change is similar for all four regions for similar magnitudes of emissions changes. However, the global temperature change per unit SO2 emission in simulations where regional SO2 emission were removed is substantially higher than that obtained in simulations where regional SO2 emissions were increased. Thus, the climate sensitivity to regional SO2 emissions perturbations depends on the magnitude of the emission perturbation in NorESM. On regional scale, on the other hand, the emission perturbations in different geographical locations lead to different regional temperature responses, both locally and in remote regions. The results from the model simulations are used to construct regional temperature potential

  12. Climate Outreach Using Regional Coastal Ocean Observing System Portals

    Science.gov (United States)

    Anderson, D. M.; Hernandez, D. L.; Wakely, A.; Bochenek, R. J.; Bickel, A.

    2015-12-01

    Coastal oceans are dynamic, changing environments affected by processes ranging from seconds to millennia. On the east and west coast of the U.S., regional observing systems have deployed and sustained a remarkable diverse array of observing tools and sensors. Data portals visualize and provide access to real-time sensor networks. Portals have emerged as an interactive tool for educators to help students explore and understand climate. Bringing data portals to outreach events, into classrooms, and onto tablets and smartphones enables educators to address topics and phenomena happening right now. For example at the 2015 Charleston Science Technology Engineering and Math (STEM) Festival, visitors navigated the SECOORA (Southeast Coastal Ocean Observing regional Association) data portal to view the real-time marine meteorological conditions off South Carolina. Map-based entry points provide an intuitive interface for most students, an array of time series and other visualizations depict many of the essential principles of climate science manifest in the coastal zone, and data down-load/ extract options provide access to the data and documentation for further inquiry by advanced users. Beyond the exposition of climate principles, the portal experience reveals remarkable technologies in action and shows how the observing system is enabled by the activity of many different partners.

  13. Building America Best Practices Series: Volume 7.1: Guide to Determining Climate Regions by County

    Energy Technology Data Exchange (ETDEWEB)

    Baechler, Michael C.; Williamson, Jennifer L.; Gilbride, Theresa L.; Cole, Pamala C.; Hefty, Marye G.; Love, Pat M.

    2010-08-30

    This report for DOE's Building America program helps builders identify which Building America climate region they are building in. The guide includes maps comparing the Building America regions with climate designations used in the International Energy Conservation Code for Residential Buildings and lists all U.S. counties by climate zone. A very brief history of the development of the Building America climate map and descriptions of each climate zone are provided. This report is available on the Building America website www.buildingamerica.gov.

  14. Influence of Lake Malawi on regional climate from a double-nested regional climate model experiment

    Science.gov (United States)

    Diallo, Ismaïla; Giorgi, Filippo; Stordal, Frode

    2017-07-01

    We evaluate the performance of the regional climate model (RCM) RegCM4 coupled to a one dimensional lake model for Lake Malawi (also known as Lake Nyasa in Tanzania and Lago Niassa in Mozambique) in simulating the main characteristics of rainfall and near surface air temperature patterns over the region. We further investigate the impact of the lake on the simulated regional climate. Two RCM simulations, one with and one without Lake Malawi, are performed for the period 1992-2008 at a grid spacing of 10 km by nesting the model within a corresponding 25 km resolution run ("mother domain") encompassing all Southern Africa. The performance of the model in simulating the mean seasonal patterns of near surface air temperature and precipitation is good compared with previous applications of this model. The temperature biases are generally less than 2.5 °C, while the seasonal cycle of precipitation over the region matches observations well. Moreover, the one-dimensional lake model reproduces fairly well the geographical pattern of observed (from satellite measurements) lake surface temperature as well as its mean month-to-month evolution. The Malawi Lake-effects on the moisture and atmospheric circulation of the surrounding region result in an increase of water vapor mixing ratio due to increased evaporation in the presence of the lake, which combines with enhanced rising motions and low-level moisture convergence to yield a significant precipitation increase over the lake and neighboring areas during the whole austral summer rainy season.

  15. The economic value of the climate regulation ecosystem service provided by the Amazon rainforest

    Science.gov (United States)

    Heil Costa, Marcos; Pires, Gabrielle; Fontes, Vitor; Brumatti, Livia

    2017-04-01

    The rainy Amazon climate allowed important activities to develop in the region as large rainfed agricultural lands and hydropower plants. The Amazon rainforest is an important source of moisture to the regional atmosphere and helps regulate the local climate. The replacement of forest by agricultural lands decreases the flux of water vapor into the atmosphere and changes the precipitation patterns, which may severely affect such economic activities. Assign an economic value to this ecosystem service may emphasize the significance to preserve the Amazon rainforest. In this work, we provide a first approximation of the quantification of the climate regulation ecosystem service provided by the Amazon rainforest using the marginal production method. We use climate scenarios derived from Amazon deforestation scenarios as input to crop and runoff models to assess how land use change would affect agriculture and hydropower generation. The effects of forest removal on soybean production and on cattle beef production can both be as high as US 16 per year per ha deforested, and the effects on hydropower generation can be as high as US 8 per year per ha deforested. We consider this as a conservative estimate of a permanent service provided by the rainforest. Policy makers and other Amazon agriculture and energy businesses must be aware of these numbers, and consider them while planning their activities.

  16. Hydroclimatology of the Nile: results from a regional climate model

    Directory of Open Access Journals (Sweden)

    Y. A. Mohamed

    2005-01-01

    Full Text Available This paper presents the result of the regional coupled climatic and hydrologic model of the Nile Basin. For the first time the interaction between the climatic processes and the hydrological processes on the land surface have been fully coupled. The hydrological model is driven by the rainfall and the energy available for evaporation generated in the climate model, and the runoff generated in the catchment is again routed over the wetlands of the Nile to supply moisture for atmospheric feedback. The results obtained are quite satisfactory given the extremely low runoff coefficients in the catchment. The paper presents the validation results over the sub-basins: Blue Nile, White Nile, Atbara river, the Sudd swamps, and the Main Nile for the period 1995 to 2000. Observational datasets were used to evaluate the model results including radiation, precipitation, runoff and evaporation data. The evaporation data were derived from satellite images over a major part of the Upper Nile. Limitations in both the observational data and the model are discussed. It is concluded that the model provides a sound representation of the regional water cycle over the Nile. The sources of atmospheric moisture to the basin, and location of convergence/divergence fields could be accurately illustrated. The model is used to describe the regional water cycle in the Nile basin in terms of atmospheric fluxes, land surface fluxes and land surface-climate feedbacks. The monthly moisture recycling ratio (i.e. locally generated/total precipitation over the Nile varies between 8 and 14%, with an annual mean of 11%, which implies that 89% of the Nile water resources originates from outside the basin physical boundaries. The monthly precipitation efficiency varies between 12 and 53%, and the annual mean is 28%. The mean annual result of the Nile regional water cycle is compared to that of the Amazon and the Mississippi basins.

  17. The increased atmospheric greenhouse effect and regional climate change

    Energy Technology Data Exchange (ETDEWEB)

    Groenaas, S. [Bergen Univ. (Norway)

    1996-03-01

    This paper was read at the workshop ``The Norwegian Climate and Ozone Research Programme`` held on 11-12 March 1996. The main information for predicting future climate changes comes from integrating coupled climate models of the atmosphere, ocean and cryosphere. Regional climate change may be studied from the global integrations, however, resolution is coarse because of insufficient computer power. Attempts are being made to get more regional details out of the global integrations by ``downscaling`` the latter. This can be done in two ways. Firstly, limited area models with high resolution are applied, driven by the global results as boundary values. Secondly, statistical relationships have been found between observed meteorological parameters, like temperature and precipitation, and analyzed large scale gridded fields. The derived relations are then used on similar data from climate runs to give local interpretations. A review is given of literature on recent observations of climate variations and on predicted regional climate change. 18 refs., 4 figs.

  18. Regional-Scale Climate Change: Observations and Model Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Bradley, Raymond S; Diaz, Henry F

    2010-12-14

    This collaborative proposal addressed key issues in understanding the Earth's climate system, as highlighted by the U.S. Climate Science Program. The research focused on documenting past climatic changes and on assessing future climatic changes based on suites of global and regional climate models. Geographically, our emphasis was on the mountainous regions of the world, with a particular focus on the Neotropics of Central America and the Hawaiian Islands. Mountain regions are zones where large variations in ecosystems occur due to the strong climate zonation forced by the topography. These areas are particularly susceptible to changes in critical ecological thresholds, and we conducted studies of changes in phonological indicators based on various climatic thresholds.

  19. Pacific Islands Regional Climate Assessment: Building a Framework to Track Physical and Social Indicators of Climate Change Across Pacific Islands

    Science.gov (United States)

    Grecni, Z. N.; Keener, V. W.

    2016-12-01

    Assessments inform regional and local climate change governance and provide the critical scientific basis for U.S. climate policy. Despite the centrality of scientific information to public discourse and decision making, comprehensive assessments of climate change drivers, impacts, and the vulnerability of human and ecological systems at regional or local scales are often conducted on an ad hoc basis. Methods for sustained assessment and communication of scientific information are diverse and nascent. The Pacific Islands Regional Climate Assessment (PIRCA) is a collaborative effort to assess climate change indicators, impacts, and adaptive capacity of the Hawaiian archipelago and the US-Affiliated Pacific Islands (USAPI). In 2012, PIRCA released the first comprehensive report summarizing the state of scientific knowledge about climate change in the region as a technical input to the U.S. National Climate Assessment. A multi-method evaluation of PIRCA outputs and delivery revealed that the vast majority of key stakeholders view the report as extremely credible and use it as a resource. The current study will present PIRCA's approach to establishing physical and social indicators to track on an ongoing basis, starting with the Republic of the Marshall Islands as an initial location of focus for providing a cross-sectoral indicators framework. Identifying and tracking useful indicators is aimed at sustaining the process of knowledge coproduction with decision makers who seek to better understand the climate variability and change and its impacts on Pacific Island communities.

  20. A Regional Climate Model Evaluation System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Develop a packaged data management infrastructure for the comparison of generated climate model output to existing observational datasets that includes capabilities...

  1. Does Nudging Squelch the Extremes in Regional Climate Modeling?

    Science.gov (United States)

    An important question in regional climate downscaling is whether to constrain (nudge) the interior of the limited-area domain toward the larger-scale driving fields. Prior research has demonstrated that interior nudging can increase the skill of regional climate predictions origin...

  2. AUTH Regional Climate Model Contributions to EURO-CORDEX. Part II

    Science.gov (United States)

    Katragkou, E.; Gkotovou, I.; Kartsios, S.; Pavlidis, V.; Tsigaridis, K.; Trail, M.; Nazarenko, L.; Karacostas, Theodore S.

    2017-01-01

    Regional climate downscaling techniques are being increasingly used to provide higher-resolution climate information than is available directly from contemporary global climate models. The Coordinated Regional Climate Downscaling Experiment (CORDEX) initiative was build to foster communication and knowledge exchange between regional climate modelers. The Department of Meteorology and Climatology of the Aristotle University of Thessaloniki has been contributing to the CORDEX initiative since 2010, with regional climate model simulations over the European domain (EURO-CORDEX). Results of this work are presented here, including two hindcasts and a historical simulation with the Weather Research Forecasting model (WRF), driven by ERA-interim reanalysis and the NASA Earth System Goddard Institute for Space Studies (GISS) ModelE2, respectively. Model simulations are evaluated with the EOBS climatology and the model performance is assessed.

  3. EV and HP Providing Ancillary Services in the Nordic Region

    DEFF Research Database (Denmark)

    Liu, Zhaoxi; Wu, Qiuwei

    This report covers the analysis of the electric vehicle (EV) and heat pump (HP) providing ancillary services to the power system of the Nordic region including Denmark, Finland, Norway and Sweden. The analysis is to investigate the feasibility of EVs and HPs to serve as demand as frequency reserve...... (DFR) providers in the distribution power system in the four mentioned Nordic countries....

  4. Development of ALARO-Climate regional climate model for a very high resolution

    Science.gov (United States)

    Skalak, Petr; Farda, Ales; Brozkova, Radmila; Masek, Jan

    2013-04-01

    ALARO-Climate is a new regional climate model (RCM) derived from the ALADIN LAM model family. It is based on the numerical weather prediction model ALARO and developed at the Czech Hydrometeorological Institute. The model is expected to able to work in the so called "grey zone" physics (horizontal resolution of 4 - 7 km) and at the same time retain its ability to be operated in resolutions in between 20 and 50 km, which are typical for contemporary generation of regional climate models. Here we present the main features of the RCM ALARO-Climate and results of the first model simulations on longer time-scales (1961-1990). The model was driven by the ERA-40/Interim re-analyses and run on the large pan-European integration domain ("ENSEMBLES / Euro-Cordex domain") with spatial resolution of 25 km. The simulated model climate was compared with the gridded observation of air temperature (mean, maximum, minimum) and precipitation from the E-OBS version 7 dataset. The validation of the first ERA-40 simulation has revealed significant cold biases in all seasons (between -4 and -2 °C) and overestimation of precipitation on 20% to 60% in the selected Central Europe target area (0° - 30° eastern longitude ; 40° - 60° northern latitude). The consequent adaptations in the model and their effect on the simulated properties of climate variables are illustrated. Acknowledgements: This study was performed within the frame of projects ALARO (project P209/11/2405 sponsored by the Czech Science Foundation) and CzechGlobe Centre (CZ.1.05/1.1.00/02.0073). The partial support was also provided under the projects P209-11-0956 of the Czech Science Foundation and CZ.1.07/2.4.00/31.0056 (Operational Programme of Education for Competitiveness of Ministry of Education, Youth and Sports of the Czech Republic).

  5. Climate change: evaluating your local and regional water resources

    Science.gov (United States)

    Flint, Lorraine E.; Flint, Alan L.; Thorne, James H.

    2015-01-01

    The BCM is a fine-scale hydrologic model that uses detailed maps of soils, geology, topography, and transient monthly or daily maps of potential evapotranspiration, air temperature, and precipitation to generate maps of recharge, runoff, snow pack, actual evapotranspiration, and climatic water deficit. With these comprehensive environmental inputs and experienced scientific analysis, the BCM provides resource managers with important hydrologic and ecologic understanding of a landscape or basin at hillslope to regional scales. The model is calibrated using historical climate and streamflow data over the range of geologic materials specific to an area. Once calibrated, the model is used to translate climate-change data into hydrologic responses for a defined landscape, to provide managers an understanding of potential ecological risks and threats to water supplies and managed hydrologic systems. Although limited to estimates of unimpaired hydrologic conditions, estimates of impaired conditions, such as agricultural demand, diversions, or reservoir outflows can be incorporated into the calibration of the model to expand its utility. Additionally, the model can be linked to other models, such as groundwater-flow models (that is, MODFLOW) or the integrated hydrologic model (MF-FMP), to provide information about subsurface hydrologic processes. The model can be applied at a relatively small scale, but also can be applied to large-scale national and international river basins.

  6. Initializing decadal climate predictions over the North Atlantic region

    Science.gov (United States)

    Matei, Daniela Mihaela; Pohlmann, Holger; Jungclaus, Johann; Müller, Wolfgang; Haak, Helmuth; Marotzke, Jochem

    2010-05-01

    Decadal climate prediction aims to predict the internally-generated decadal climate variability in addition to externally-forced climate change signal. In order to achieve this it is necessary to start the predictions from the current climate state. In this study we investigate the forecast skill of the North Atlantic decadal climate predictions using two different ocean initialization strategies. First we apply an assimilation of ocean synthesis data provided by the GECCO project (Köhl and Stammer, 2008) as initial conditions for the coupled model ECHAM5/MPI-OM. Hindcast experiments are then performed over the period 1952-2001. An alternative approach is one in which the subsurface ocean temperature and salinity are diagnosed from an ensemble of ocean model runs forced by the NCEP-NCAR atmospheric reanalyzes for the period 1948-2007, then nudge into the coupled model to produce initial conditions for the hindcast experiments. An anomaly coupling scheme is used in both approaches to avoid the hindcast drift and the associated initial shock. Differences between the two assimilation approaches are discussed by comparing them with the observational data in key regions and processes. We asses the skill of the initialized decadal hindcast experiments against the prediction skill of the non-initialized hindcasts simulation. We obtain an overview of the regions with the highest predictability from the regional distribution of the anomaly correlation coefficients and RMSE for the SAT. For the first year the hindcast skill is increased over almost all ocean regions in the NCEP-forced approach. This increase in the hindcast skill for the 1 year lead time is somewhat reduced in the GECCO approach. At lead time 5yr and 10yr, the skill enhancement is still found over the North Atlantic and North Pacific regions. We also consider the potential predictability of the Atlantic Meridional Overturning Circulation (AMOC) and Nordic Seas Overflow by comparing the predicted values to

  7. Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications

    Directory of Open Access Journals (Sweden)

    Rassarin Chinnachodteeranun

    2016-08-01

    Full Text Available We developed a mechanism for seamlessly providing weather data and long-term historical climate data from a gridded data source through an international standard web API, which was the Sensor Observation Service (SOS defined by the Open Geospatial Consortium (OGC. The National Agriculture and Food Research Organization (NARO Japan has been providing gridded climate data consisting of nine daily meteorological variables, which are average, minimum, maximum of air temperature, relative humidity, sunshine duration, solar radiant exposure, downward longwave radiation, precipitation and wind speed for 35 years covering Japan. The gridded data structure is quite useful for spatial analysis, such as developing crop suitability maps and monitoring regional crop development. Individual farmers, however, make decisions using historical climate information and forecasts for an incoming cropping season of their farms. In this regard, climate data at a point-based structure are convenient for application development to support farmers’ decisions. Through the proposed mechanism in this paper, the agricultural applications and analysis can request point-based climate data from a gridded data source through the standard API with no need to deal with the complicated hierarchical data structure of the gridded climate data source. Clients can easily obtain data and metadata by only accessing the service endpoint. The mechanism also provides several web bindings and data encodings for the clients’ convenience. Caching, including the pre-caching mechanism, was developed and evaluated to secure an effective response time. The mechanism enhances the accessibility and usability of the gridded weather data source, as well as SOS API for agricultural applications.

  8. Strong biotic influences on regional patterns of climate regulation services

    Science.gov (United States)

    Serna-Chavez, H. M.; Swenson, N. G.; Weiser, M. D.; van Loon, E. E.; Bouten, W.; Davidson, M. D.; van Bodegom, P. M.

    2017-05-01

    Climate regulation services from forests are an important leverage in global-change mitigation treaties. Like most ecosystem services, climate regulation is the product of various ecological phenomena with unique spatial features. Elucidating which abiotic and biotic factors relate to spatial patterns of climate regulation services advances our understanding of what underlies climate-mitigation potential and its variation within and across ecosystems. Here we quantify and contrast the statistical relations between climate regulation services (albedo and evapotranspiration, primary productivity, and soil carbon) and abiotic and biotic factors. We focus on 16,955 forest plots in a regional extent across the eastern United States. We find the statistical effects of forest litter and understory carbon on climate regulation services to be as strong as those of temperature-precipitation interactions. These biotic factors likely influence climate regulation through changes in vegetation and canopy density, radiance scattering, and decomposition rates. We also find a moderate relation between leaf nitrogen traits and primary productivity at this regional scale. The statistical relation between climate regulation and temperature-precipitation ranges, seasonality, and climatic thresholds highlights a strong feedback with global climate change. Our assessment suggests the expression of strong biotic influences on climate regulation services at a regional, temperate extent. Biotic homogenization and management practices manipulating forest structure and succession will likely strongly impact climate-mitigation potential. The identity, strength, and direction of primary influences differed for each process involved in climate regulation. Hence, different abiotic and biotic factors are needed to monitor and quantify the full climate-mitigation potential of temperate forest ecosystems.

  9. Contribution to theoretic-methodological concepts of climatic regionalization

    Directory of Open Access Journals (Sweden)

    Ducić Vladan D.

    2004-01-01

    Full Text Available According to the recommendation of the World Meteorological Organization (WMO, examination of the climatic characteristics of any given area should cover a 30-year period (for instance, the years 1931 to 1960, or, 1961 to 1990, etc. In time, changes and oscillations happen in climate, so that the climatic regions will also change, in time and in space. Such alterations are a frequent subject of scientific studies, concerned with cyclical nature and fluctuations of climate. Research of meteorological and climatic elements is, in fact, the precondition of knowing what the climate is, and without this knowledge it would be pointless to discuss any kind of concrete climatic regionalization. Depending on aims that we wish to accomplish, there is practically a limitless possibility of studying regions in one way or another. Essentially, though, the main starting assumption is that it would be desirable to perform a general climatic regionalization of the world, or of any territorial unit, and, starting from that, to proceed with subdivision into smaller climatic zones. A quite opposite approach perhaps more appropriate in certain cases, would be to start research from the other end, by examining each station in detail, so that maximum-quality data could then serve to give us an idea about the spatial presence of various indicators.

  10. Extreme climate projections over the transboundary Koshi River Basin using a high resolution regional climate model

    Directory of Open Access Journals (Sweden)

    Rupak Rajbhandari

    2017-09-01

    Full Text Available The high-resolution climate model Providing REgional Climates for Impacts Studies (PRECIS was used to project the changes in future extreme precipitation and temperature over the Koshi River Basin for use in impact assessments. Three outputs of the Quantifying Uncertainties in Model Prediction (QUMP simulations using the Hadley Centre Couple Model (HadCM3 based on the IPCC SRES A1B emission scenario were used to project the future climate. The projections were analysed for three time slices, 2011–2040 (near future, 2041–2070 (mid-century, and 2071–2098 (distant future. The results show an increase in the future frequency and intensity of climate extremes events such as dry days, consecutive dry days, and very wet days (95th percentile, with greater increases over the southern plains than in the mountainous area to the north. A significant decrease in moderate rainfall days (75th percentile is projected over the middle (high mountain and trans-Himalaya areas. Increases are projected in both the extreme maximum and extreme minimum temperature, with a slightly higher rate in minimum temperature. The number of warm days is projected to increase throughout the basin, with more rapid rates in the trans-Himalayan and middle mountain areas than in the plains. Warm nights are also projected to increase, especially in the southern plains. A decrease is projected in cold days and cold nights indicating overall warming throughout the basin.

  11. Regional hydrological impacts of climate change: implications for water management in India

    Directory of Open Access Journals (Sweden)

    A. Mondal

    2015-04-01

    Full Text Available Climate change is most likely to introduce an additional stress to already stressed water systems in developing countries. Climate change is inherently linked with the hydrological cycle and is expected to cause significant alterations in regional water resources systems necessitating measures for adaptation and mitigation. Increasing temperatures, for example, are likely to change precipitation patterns resulting in alterations of regional water availability, evapotranspirative water demand of crops and vegetation, extremes of floods and droughts, and water quality. A comprehensive assessment of regional hydrological impacts of climate change is thus necessary. Global climate model simulations provide future projections of the climate system taking into consideration changes in external forcings, such as atmospheric carbon-dioxide and aerosols, especially those resulting from anthropogenic emissions. However, such simulations are typically run at a coarse scale, and are not equipped to reproduce regional hydrological processes. This paper summarizes recent research on the assessment of climate change impacts on regional hydrology, addressing the scale and physical processes mismatch issues. Particular attention is given to changes in water availability, irrigation demands and water quality. This paper also includes description of the methodologies developed to address uncertainties in the projections resulting from incomplete knowledge about future evolution of the human-induced emissions and from using multiple climate models. Approaches for investigating possible causes of historically observed changes in regional hydrological variables are also discussed. Illustrations of all the above-mentioned methods are provided for Indian regions with a view to specifically aiding water management in India.

  12. Regional hydrological impacts of climate change: implications for water management in India

    Science.gov (United States)

    Mondal, A.; Mujumdar, P. P.

    2015-04-01

    Climate change is most likely to introduce an additional stress to already stressed water systems in developing countries. Climate change is inherently linked with the hydrological cycle and is expected to cause significant alterations in regional water resources systems necessitating measures for adaptation and mitigation. Increasing temperatures, for example, are likely to change precipitation patterns resulting in alterations of regional water availability, evapotranspirative water demand of crops and vegetation, extremes of floods and droughts, and water quality. A comprehensive assessment of regional hydrological impacts of climate change is thus necessary. Global climate model simulations provide future projections of the climate system taking into consideration changes in external forcings, such as atmospheric carbon-dioxide and aerosols, especially those resulting from anthropogenic emissions. However, such simulations are typically run at a coarse scale, and are not equipped to reproduce regional hydrological processes. This paper summarizes recent research on the assessment of climate change impacts on regional hydrology, addressing the scale and physical processes mismatch issues. Particular attention is given to changes in water availability, irrigation demands and water quality. This paper also includes description of the methodologies developed to address uncertainties in the projections resulting from incomplete knowledge about future evolution of the human-induced emissions and from using multiple climate models. Approaches for investigating possible causes of historically observed changes in regional hydrological variables are also discussed. Illustrations of all the above-mentioned methods are provided for Indian regions with a view to specifically aiding water management in India.

  13. Brief communication "Climatic covariates for the frequency analysis of heavy rainfall in the Mediterranean region"

    OpenAIRE

    Tramblay, Y.; Neppel, L.; Carreau, J.

    2011-01-01

    In Mediterranean regions, climate studies indicate for the future a possible increase in the extreme rainfall events occurrence and intensity. To evaluate the future changes in the extreme event distribution, there is a need to provide non-stationary models taking into account the non-stationarity of climate. In this study, several climatic covariates are tested in a non-stationary peaks-over-threshold modeling approach for heavy rainfall events in Southern France. Results indicate that the i...

  14. On the construction of a regional atmospheric climate model

    DEFF Research Database (Denmark)

    Christensen, J. H.; Van Meijgaard, E.

    1992-01-01

    A Regional Atmospheric Climate Model which combines the physical parameterization package of the General Circulation or Climate Model (ECHAM) used at the Max Planck Institute for Meteorology in Hamburg, and the dynamics package of the Nordic - Dutch - Irish Limited Area Model (HIRLAM), has been...... developed. The necessary changes applied to both model packages in order to obtain a working code are described. -from Authors...

  15. Study of the global and regional climatic impacts of ENSO ...

    Indian Academy of Sciences (India)

    2Global Change Impact Studies Centre (GCISC), Ministry of Climate Change, Islamabad, Pakistan. ... decades resulting in a need to study climatic impacts of ENSO magnitude both at global and regional scales. Hence ... positive phase of ENSO (El Ni˜no) overall strengthens Hadley cell and a reverse is true for the La Ni˜na.

  16. A framework for modeling uncertainty in regional climate change

    Science.gov (United States)

    In this study, we present a new modeling framework and a large ensemble of climate projections to investigate the uncertainty in regional climate change over the United States associated with four dimensions of uncertainty. The sources of uncertainty considered in this framework ...

  17. Understanding Hydroclimatic Extremes in Changing Monsoon Climates with Daily Bias Correction of CMIP5 Regional Climate Models over South Asia

    Science.gov (United States)

    Hasan, M. A.; Islam, A. S.; Akanda, A. S. S.

    2015-12-01

    The assessment of hydroclimatic and hydrometeorological extremes in changing climates has gathered special attention in the latest IPCC 5thAssessment Report (AR5). In monsoon regions such as South Asia, hydrologic modeling (i.e., stream flow assessment, water budget analysis, etc.) needs to incorporate such extremes to simulate retrospective and future scenarios. For information of past and future climate, Regional Climate Models (RCMs) are preferred over global models due to their higher resolution and dynamic downscaling capabilities. Although the models perform well in representing the mean climate, they still possess significant biases, especially in daily hydrometeorological extremes over monsoon regions. Therefore, modification and correction of RCM results while preserving the extremes are crucial for hydrologic modeling in changing monsoon climates such as in South Asia. In this context, we generate a gridded observed product that preserve the hydroclimatic and hydrometeorological extremes for the Ganges-Brahmaputra-Meghna (GBM) basin region in South Asia. A recent approach to bias correction is also proposed for correcting regional climate data in currently available future projections. The 30 year dataset (1971-2010) is used for comparing hydroclimatic and hydrometeorological extremes with APHRODITE and ERA-Interim Reanalysis products. The assessment has revealed that the new gridded data set provides much accurate maximum rainfall intensity, number of dry days, number of wet days and number of rainy days with greater than 500mm rainfall than any other available gridded data products. Using the gridded data sets, bias correctionis applied on CMIP5 multi-model historical datasets to evaluate RCM data performance over the region, which show great improvement in regional climate data for future hydrologic modeling scenarios and analyzing impacts of climate extremes.

  18. Near-surface wind pattern in regional climate projections over the broader Adriatic region

    Science.gov (United States)

    Belušić, Andreina; Telišman Prtenjak, Maja; Güttler, Ivan; Ban, Nikolina; Leutwyler, David; Schär, Christoph

    2017-04-01

    The Adriatic region is characterized by the complex coastline, strong topographic gradients and specific wind regimes. This represents excellent test area for the latest generation of the regional climate models (RCMs) applied over the European domain. The most famous wind along the Adriatic coast is bora, which due to its strength, has a strong impact on all types of human activities in the Adriatic region. The typical bora wind is a severe gusty downslope flow perpendicular to the mountains. Besides bora, in the Adriatic region, typical winds are sirocco (mostly during the wintertime) and sea/land breezes (dominantly in the warm part of the year) as a part of the regional Mediterranean wind system. Thus, it is substantial to determine future changes in the wind filed characteristics (e.g., changes in strength and frequencies). The first step was the evaluation of a suite of ten EURO- and MED-CORDEX models (at 50 km and 12.5 km resolution), and two additional high resolution models from the Swiss Federal Institute of Technology in Zürich (ETHZ, at 12.5 km and 2.2. km resolution) in the present climate. These results provided a basis for the next step where wind field features, in an ensemble of RCMs forced by global climate models (GCMs) in historical and future runs are examined. Our aim is to determine the influence of the particular combination of RCMs and GCMs, horizontal resolution and emission scenario on the future changes in the near-surface wind field. The analysis reveals strong sensitivity of the simulated wind flow and its statistics to both season and location analyzed, to the horizontal resolution of the RCM and on the choice of the particular GCM that provides boundary conditions.

  19. The Intensification of Global and Regional Climate Variability and Change

    Science.gov (United States)

    Weaver, S. J.

    2015-12-01

    Recent evidence from the IPCC and National Climate Assessment reports indicate that extreme climate events are increasing in many regions of the world. Interestingly, the nature and causes of the changes in extremes may be expressed differently for the global and regional scales, and also amongst climate variables (e.g., precipitation and temperature). For instance, over the last several decades the temperature probability density function on the global scale exhibits a mean shift to the warmer side, as opposed to a change in it's variability. Conversely, the interannual variability of precipitation is intensifying on the regional scale, especially over the U.S. during spring. Although the statistical characteristics of the temperature and precipitation changes may have a varied expression they both contribute to the potential for increases in extreme events. The causes and physical mechanisms for the intensification of mean global temperature and regional precipitation variability are explored using observationally constrained datasets and non-traditional climate model approaches.

  20. Book Review: Climate Justice: Case Studies in Global and Regional ...

    African Journals Online (AJOL)

    Abstract. Book Title: Climate Justice: Case Studies in Global and Regional Governance Challenges. Book Author: Randall S. Abate (Ed.) Environmental Law Institute Washington DC 2016. ISBN 978-1-58576-181-4 ...

  1. Development of ALARO-Climate regional climate model for a very high resolution

    Science.gov (United States)

    Skalak, Petr; Farda, Ales; Brozkova, Radmila; Masek, Jan

    2014-05-01

    ALARO-Climate is a new regional climate model (RCM) derived from the ALADIN LAM model family. It is based on the numerical weather prediction model ALARO and developed at the Czech Hydrometeorological Institute. The model is expected to able to work in the so called "grey zone" physics (horizontal resolution of 4 - 7 km) and at the same time retain its ability to be operated in resolutions in between 20 and 50 km, which are typical for contemporary generation of regional climate models. Here we present the main results of the RCM ALARO-Climate model simulations in 25 and 6.25 km resolutions on the longer time-scale (1961-1990). The model was driven by the ERA-40 re-analyses and run on the integration domain of ~ 2500 x 2500 km size covering the central Europe. The simulated model climate was compared with the gridded observation of air temperature (mean, maximum, minimum) and precipitation from the E-OBS version dataset 8. Other simulated parameters (e.g., cloudiness, radiation or components of water cycle) were compared to the ERA-40 re-analyses. The validation of the first ERA-40 simulation in both, 25 km and 6.25 km resolutions, revealed significant cold biases in all seasons and overestimation of precipitation in the selected Central Europe target area (0° - 30° eastern longitude ; 40° - 60° northern latitude). The differences between these simulations were small and thus revealed a robustness of the model's physical parameterization on the resolution change. The series of 25 km resolution simulations with several model adaptations was carried out to study their effect on the simulated properties of climate variables and thus possibly identify a source of major errors in the simulated climate. The current investigation suggests the main reason for biases is related to the model physic. Acknowledgements: This study was performed within the frame of projects ALARO (project P209/11/2405 sponsored by the Czech Science Foundation) and CzechGlobe Centre (CZ.1

  2. Regional climate response collaboratives: Multi-institutional support for climate resilience

    Science.gov (United States)

    Averyt, Kristen; Derner, Justin D.; Dilling, Lisa; Guerrero, Rafael; Joyce, Linda A.; McNeeley, Shannon; McNie, Elizabeth; Morisette, Jeffrey T.; Ojima, Dennis; O'Malley, Robin; Peck, Dannele; Ray, Andrea J.; Reeves, Matt; Travis, William

    2018-01-01

    Federal investments by U.S. agencies to enhance climate resilience at regional scales grew over the past decade (2010s). To maximize efficiency and effectiveness in serving multiple sectors and scales, it has become critical to leverage existing agency-specific research, infrastructure, and capacity while avoiding redundancy. We discuss lessons learned from a multi-institutional “regional climate response collaborative” that comprises three different federally-supported climate service entities in the Rocky Mountain west and northern plains region. These lessons include leveraging different strengths of each partner, creating deliberate mechanisms to increase cross-entity communication and joint ownership of projects, and placing a common priority on stakeholder-relevant research and outcomes. We share the conditions that fostered successful collaboration, which can be transferred elsewhere, and suggest mechanisms for overcoming potential barriers. Synergies are essential for producing actionable research that informs climate-related decisions for stakeholders and ultimately enhances climate resilience at regional scales.

  3. Scenario Planning Provides a Framework for Climate Change Adaptation in the National Park Service

    Science.gov (United States)

    Welling, L. A.

    2012-12-01

    Resource management decisions must be based on future expectations. Abundant evidence suggests climate change will have highly consequential effects on the Nation's natural and cultural resources, but specific impacts are difficult to accurately predict. This situation of too much information but not enough specificity can often lead to either paralysis or denial for decision makers. Scenario planning is an emerging tool for climate change adaptation that provides a structured framework for identifying and exploring critical drivers of change and their uncertain outcomes. Since 2007, the National Park Service (NPS) has been working with its partners to develop and apply a scenario-based approach for adaptation planning that integrates quantitative, model-driven, climate change projections with qualitative, participatory exercises to explore management and policy options under a range of future conditions. Major outcomes of this work are (1) increased understanding of key scientific results and uncertainties, (2) incorporation of alternative perspectives into park and landscape level planning, (3) identification of "no brainer" and "no gainer" actions, (4) strengthening of regional science-management partnerships, and (5) overall improved capacity for flexible decision making. The basic approach employed by NPS for scenario planning follows a typical adaptive management process: define the focal question, assess the relevant science, explore plausible futures, identify effective strategies, prioritize and implement actions, and monitor results. Many science and management partners contributed to the process, including NOAA Regional Integrated Science and Assessment teams (RISAs) and Regional Climate Centers (RCCs), USGS Research Centers, and other university and government scientists. The Global Business Network, an internationally recognized leader in scenario development, provided expert facilitation and training techniques. Climate science input is provided

  4. An inter-comparison of regional climate models for Europe

    DEFF Research Database (Denmark)

    Jacob, Daniela; Bärring, Lars; Christensen, Ole Bøssing

    2007-01-01

    The analysis of possible regional climate changes over Europe as simulated by 10 regional climate models within the context of PRUDENCE requires a careful investigation of possible systematic biases in the models. The purpose of this paper is to identify how the main model systematic biases vary...... across the different models. Two fundamental aspects of model validation are addressed here: the ability to simulate (1) the long-term (30 or 40 years) mean climate and (2) the inter-annual variability. The analysis concentrates on near-surface air temperature and precipitation over land and focuses...

  5. Climate change projections for Greek viticulture as simulated by a regional climate model

    Science.gov (United States)

    Lazoglou, Georgia; Anagnostopoulou, Christina; Koundouras, Stefanos

    2017-07-01

    Viticulture represents an important economic activity for Greek agriculture. Winegrapes are cultivated in many areas covering the whole Greek territory, due to the favorable soil and climatic conditions. Given the dependence of viticulture on climate, the vitivinicultural sector is expected to be affected by possible climatic changes. The present study is set out to investigate the impacts of climatic change in Greek viticulture, using nine bioclimatic indices for the period 1981-2100. For this purpose, reanalysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) and data from the regional climatic model Regional Climate Model Version 3 (RegCM3) are used. It was found that the examined regional climate model estimates satisfactorily these bioclimatic indices. The results of the study show that the increasing trend of temperature and drought will affect all wine-producing regions in Greece. In vineyards in mountainous regions, the impact is positive, while in islands and coastal regions, it is negative. Overall, it should be highlighted that for the first time that Greece is classified into common climatic characteristic categories, according to the international Geoviticulture Multicriteria Climatic Classification System (MCC system). According to the proposed classification, Greek viticulture regions are estimated to have similar climatic characteristics with the warmer wine-producing regions of the world up to the end of twenty-first century. Wine growers and winemakers should take the findings of the study under consideration in order to take measures for Greek wine sector adaptation and the continuation of high-quality wine production.

  6. Vulnerability of breeding waterbirds to climate change in the Prairie Pothole Region, U.S.A.

    Science.gov (United States)

    Steen, Valerie; Skagen, Susan K; Noon, Barry R

    2014-01-01

    The Prairie Pothole Region (PPR) of the north-central U.S. and south-central Canada contains millions of small prairie wetlands that provide critical habitat to many migrating and breeding waterbirds. Due to their small size and the relatively dry climate of the region, these wetlands are considered at high risk for negative climate change effects as temperatures increase. To estimate the potential impacts of climate change on breeding waterbirds, we predicted current and future distributions of species common in the PPR using species distribution models (SDMs). We created regional-scale SDMs for the U.S. PPR using Breeding Bird Survey occurrence records for 1971-2011 and wetland, upland, and climate variables. For each species, we predicted current distribution based on climate records for 1981-2000 and projected future distributions to climate scenarios for 2040-2049. Species were projected to, on average, lose almost half their current habitat (-46%). However, individual species projections varied widely, from +8% (Upland Sandpiper) to -100% (Wilson's Snipe). Variable importance ranks indicated that land cover (wetland and upland) variables were generally more important than climate variables in predicting species distributions. However, climate variables were relatively more important during a drought period. Projected distributions of species responses to climate change contracted within current areas of distribution rather than shifting. Given the large variation in species-level impacts, we suggest that climate change mitigation efforts focus on species projected to be the most vulnerable by enacting targeted wetland management, easement acquisition, and restoration efforts.

  7. Current climate and climate change over India as simulated by the Canadian Regional Climate Model

    Science.gov (United States)

    Alexandru, Adelina; Sushama, Laxmi

    2015-08-01

    The performance of the fifth generation of the Canadian Regional Climate Model (CRCM5) in reproducing the main climatic characteristics over India during the southwest (SW)-, post- and pre-monsoon seasons are presented in this article. To assess the performance of CRCM5, European Centre for Medium- Range Weather Forecasts (ECMWF) Re- Analysis (ERA- 40) and Interim re-analysis (ERA-Interim) driven CRCM5 simulation is compared against independent observations and reanalysis data for the 1971-2000 period. Projected changes for two future periods, 2041-2070 and 2071-2100, with respect to the 1971-2000 current period are assessed based on two transient climate change simulations of CRCM5 spanning the 1950-2100 period. These two simulations are driven by the Canadian Earth System Model version 2 (CanESM2) and the Max Planck Institute for Meteorology's Earth System Low Resolution Model (MPI-ESM-LR), respectively. The boundary forcing errors associated with errors in the driving global climate models are also studied by comparing the 1971-2000 period of the CanESM2 and MPI-ESM-LR driven simulations with that of the CRCM5 simulation driven by ERA-40/ERA-Interim. Results show that CRCM5 driven by ERA-40/ERA-Interim is in general able to capture well the temporal and spatial patterns of 2 m-temperature, precipitation, wind, sea level pressure, total runoff and soil moisture over India in comparison with available reanalysis and observations. However, some noticeable differences between the model and observational data were found during the SW-monsoon season within the domain of integration. CRCM5 driven by ERA-40/ERA-Interim is 1-2 °C colder than CRU observations and generates more precipitation over the Western Ghats and central regions of India, and not enough in the northern and north-eastern parts of India and along the Konkan west coast in comparison with the observed precipitation. The monsoon onset seems to be relatively well captured over the southwestern coast of

  8. Assessment of climate change impact on phenology dynamic in Vojvodina region

    Science.gov (United States)

    Lalic, B.; Mihailovic, D. T.

    2009-09-01

    Global climate change is a continuous process that needs to be taken seriously, even though there are large uncertainties in its spatial and temporal distribution. One important bio tracer of climate change presence and magnitude is plant phenology dynamic. However, response of different plant communities to changing climate will vary across the regions and ecosystems but it will never fail. Therefore, on regional or farm level, observed phenology dynamic can be exploited as a measure of climate change impact, or expected climate change can be used in order to assess possible changes in plant growth dynamic. Nevertheless, phenology doesn't provide only date of flowering or emergence but also implies timing of farm operations as well as pest and disease dynamic. As an element of climate change impact study for Northern Serbia region in the framework of ADAGIO project, trend of plant phenology dynamic has been calculated. Climate data series of further climate were obtained using HadCM3, ECHAM5 and NCAR-PCM climate models. Statistical downscaling to smaller temporal scale was provided using Met&Roll weather generator. Time of phenological stages appearance was calculated for wheat and selected fruit varieties.

  9. Climate model parameter sensitivity and selection for incorporating uncertainty in regional climate modeling

    Science.gov (United States)

    Li, S.; Mote, P.; Rupp, D. E.; McNeall, D. J.; Sarah, S.; Hawkins, L.

    2016-12-01

    Many processes - especially those involving clouds - that control climate responses to external forcings are still poorly understood, poorly modeled, and/or difficult to observe in nature. As such, model parameterizations representing these processes have large uncertainties. Therefore, even a Global Climate Model (GCM)'s `standard' configuration, which has been tuned to reproduce observed climate well, is subject to large uncertainty. To explore the influence of different parameter selections on regional climate, a large global/regional atmospheric perturbed physics ensemble was run using the volunteer computing network weather@home with the goal of finding model variants that have small top-of-atmosphere flux imbalance. This configuration reasonably reproduces the observed climates across the western US, while retaining the possibility of a range regional climate sensitivities. After this screening step, a subset of these parameter perturbations are used when downscaling the global model simulations with an embedded regional climate model. This work aims to identify model parameters that influence the quality of regional simulations, improve global and regional model performance through improved model parameterizations, and quantify uncertainty in downscaled simulations stemming from error in model parameterizations.

  10. Climate change scenarios and key climate indices in the Swiss Alpine region

    Science.gov (United States)

    Zubler, Elias; Croci-Maspoli, Mischa; Frei, Christoph; Liniger, Mark; Scherrer, Simon; Appenzeller, Christof

    2013-04-01

    For climate adaption and to support climate mitigation policy it is of outermost importance to demonstrate the consequences of climate change on a local level and in user oriented quantities. Here, a framework is presented to apply the Swiss national climate change scenarios CH2011 to climate indices with direct relevance to applications, such as tourism, transportation, agriculture and health. This framework provides results on a high spatial and temporal resolution and can also be applied in mountainous regions such as the Alps. Results are shown for some key indices, such as the number of summer days and tropical nights, growing season length, number of frost days, heating and cooling degree days, and the number of days with fresh snow. Particular focus is given to changes in the vertical distribution for the future periods 2020-2049, 2045-2074 and 2070-2099 relative to the reference period 1980-2009 for the A1B, A2 and RCP3PD scenario. The number of days with fresh snow is approximated using a combination of temperature and precipitation as proxies. Some findings for the latest scenario period are: (1) a doubling of the number of summer days by the end of the century under the business-as-usual scenario A2, (2) tropical nights appear above 1500 m asl, (3) the number of frost days may be reduced by more than 3 months at altitudes higher than 2500 m, (4) an overall reduction of heating degree days of about 30% by the end of the century, but on the other hand an increase in cooling degree days in warm seasons, and (5) the number of days with fresh snow tends to go towards zero at low altitudes. In winter, there is little change in snowfall above 2000 m asl (roughly -3 days) in all scenarios. The largest impact on snowfall is found along the Northern Alpine flank and the Jura (-10 days or roughly -50% in A1B for the winter season). It is also highlighted that the future projections for all indices strongly depend on the chosen scenario and on model uncertainty

  11. Effective single scattering albedo estimation using regional climate model

    CSIR Research Space (South Africa)

    Tesfaye, M

    2011-09-01

    Full Text Available In this study, by modifying the optical parameterization of Regional Climate model (RegCM), the authors have computed and compared the Effective Single-Scattering Albedo (ESSA) which is a representative of VIS spectral region. The arid, semi-arid...

  12. Extreme precipitation and climate gradients in Patagonia revealed by high-resolution regional atmospheric climate modeling

    NARCIS (Netherlands)

    Lenaerts, J.T.M.|info:eu-repo/dai/nl/314850163; van den Broeke, M.R.|info:eu-repo/dai/nl/073765643; van Wessem, J.M.|info:eu-repo/dai/nl/413533085; van de Berg, W.J.|info:eu-repo/dai/nl/304831611; van Meijgaard, E.; van Ulft, L.H.; Schaefer, M.

    2014-01-01

    This study uses output of a high-resolution (5.5 km) regional atmospheric climate model to describe the present-day (1979–2012) climate of Patagonia, with a particular focus on the surface mass balance (SMB) of the Patagonian ice fields. Through a comparison with available in situ observations, it

  13. High Resolution Regional Climate Simulations over Alaska

    Science.gov (United States)

    Monaghan, A. J.; Clark, M. P.; Arnold, J.; Newman, A. J.; Musselman, K. N.; Barlage, M. J.; Xue, L.; Liu, C.; Gutmann, E. D.; Rasmussen, R.

    2016-12-01

    In order to appropriately plan future projects to build and maintain infrastructure (e.g., dams, dikes, highways, airports), a number of U.S. federal agencies seek to better understand how hydrologic regimes may shift across the country due to climate change. Building on the successful completion of a series of high-resolution WRF simulations over the Colorado River Headwaters and contiguous USA, our team is now extending these simulations over the challenging U.S. States of Alaska and Hawaii. In this presentation we summarize results from a newly completed 4-km resolution WRF simulation over Alaska spanning 2002-2016 at 4-km spatial resolution. Our aim is to gain insight into the thermodynamics that drive key precipitation processes, particularly the extremes that are most damaging to infrastructure.

  14. Regional climate change mitigation with crops: context and assessment.

    Science.gov (United States)

    Singarayer, J S; Davies-Barnard, T

    2012-09-13

    The intention of this review is to place crop albedo biogeoengineering in the wider picture of climate manipulation. Crop biogeoengineering is considered within the context of the long-term modification of the land surface for agriculture over several thousand years. Biogeoengineering is also critiqued in relation to other geoengineering schemes in terms of mitigation power and adherence to social principles for geoengineering. Although its impact is small and regional, crop biogeoengineering could be a useful and inexpensive component of an ensemble of geoengineering schemes to provide temperature mitigation. The method should not detrimentally affect food security and there may even be positive impacts on crop productivity, although more laboratory and field research is required in this area to understand the underlying mechanisms.

  15. Regional climate simulation with a mosaic of RCMs

    Energy Technology Data Exchange (ETDEWEB)

    Deque, Michel [Meteo-France/CNRM, CNRS/GAME, Toulouse (France)

    2010-06-15

    The aim of the present study is to explore the possibility of getting high horizontal resolution over Europe by using a cluster of low computational cost atmospheric general circulation models (AGCM). The approach is based on global models with stretched grid, driven by a medium-resolution model serving as a ''conductor'' to maintain time consistency of the synoptic events and avoid climate degradation in the low resolution part of the grids. Thus the global models behave as regional climate models (RCM). A perfect model approach is used with a high resolution AGCM serving as a reference. The results show that when the different models are merged on a high resolution grid, the mean climate is similar to what is obtained with an equivalent high resolution AGCM with an unstretched grid. A climate change numerical experiment shows that this is also valid for the climate response to increased greenhouse gas concentration. (orig.)

  16. Climate impacts & adaptation: Role of regional & local authorities

    Energy Technology Data Exchange (ETDEWEB)

    Colamonico, C. [Ecofys, Rome (Italy)

    2008-07-01

    The purpose of the presentation is to introduce the issue of adaptation to climate change impacts and what this could mean for regional and local authorities. A description of the current European policy context is given, focusing on the European Union green paper on adaptation. The green paper was developed on the basis of consultations with the relevant sectors (health, agriculture, tourism, energy & infrastructure, insurance, etc) in the European Climate Change Programme, and also contains a part on regional and local authorities' involvement. The presentation underlines the importance of the adaptation actions at local and regional level (e.g. impacts of climate change are felt regionally and locally, close relationship with the citizens, opportunity to see that adaptation actions may also bring new local economic benefits). A selection of possible impacts of climate change on regional and local authorities is presented (e.g. impacts of changes in water availability). Possible response options for adapting to those impacts are presented focusing on the sectors that are relevant for regional and local authorities: possible adaptation options to impacts which may affect the agriculture, building, health, tourism sectors are identified. The role of local and regional authorities is elaborated more concretely by presenting the experiences of some early mover organizations in integrating mitigation and adaptation considerations.

  17. Capturing subregional variability in regional-scale climate change vulnerability assessments of natural resources.

    Science.gov (United States)

    Buotte, Polly C; Peterson, David L; McKelvey, Kevin S; Hicke, Jeffrey A

    2016-03-15

    Natural resource vulnerability to climate change can depend on the climatology and ecological conditions at a particular site. Here we present a conceptual framework for incorporating spatial variability in natural resource vulnerability to climate change in a regional-scale assessment. The framework was implemented in the first regional-scale vulnerability assessment conducted by the US Forest Service. During this assessment, five subregional workshops were held to capture variability in vulnerability and to develop adaptation tactics. At each workshop, participants answered a questionnaire to: 1) identify species, resources, or other information missing from the regional assessment, and 2) describe subregional vulnerability to climate change. Workshop participants divided into six resource groups; here we focus on wildlife resources. Participants identified information missing from the regional assessment and multiple instances of subregional variability in climate change vulnerability. We provide recommendations for improving the process of capturing subregional variability in a regional vulnerability assessment. We propose a revised conceptual framework structured around pathways of climate influence, each with separate rankings for exposure, sensitivity, and adaptive capacity. These revisions allow for a quantitative ranking of species, pathways, exposure, sensitivity, and adaptive capacity across subregions. Rankings can be used to direct the development and implementation of future regional research and monitoring programs. The revised conceptual framework is equally applicable as a stand-alone model for assessing climate change vulnerability and as a nested model within a regional assessment for capturing subregional variability in vulnerability. Copyright © 2015 Elsevier Ltd. All rights reserved.

  18. Wildfire potential evaluation during a drought event with a regional climate model and NDVI

    Science.gov (United States)

    Y. Liu; J. Stanturf; S. Goodrick

    2010-01-01

    Regional climate modeling is a technique for simulating high-resolution physical processes in the atmosphere, soil and vegetation. It can be used to evaluate wildfire potential by either providing meteorological conditions for computation of fire indices or predicting soil moisture as a direct measure of fire potential. This study examines these roles using a regional...

  19. The Integration of Climate Science and Collaborative Processes in Building Regional Climate Resiliency in Southeast Florida

    Science.gov (United States)

    Jurado, J.

    2016-12-01

    Southeast Florida is widely recognized as one of the most vulnerable regions in the United States to the impacts of climate change, especially sea level rise. Dense urban populations, low land elevations, flat topography, complex shorelines and a porous geology all contribute to the region's challenges. Regional and local governments have been working collaboratively to address shared climate mitigation and adaptation concerns as part of the four-county Southeast Florida Regional Climate Change Compact (Compact). This partnership has emphasized, in part, the use of climate data and the development of advanced technical tools and visualizations to help inform decision-making, improve communications, and guide investments. Prominent work products have included regional vulnerability maps and assessments, a unified sea level rise projection for southeast Florida, the development and application of hydrologic models in scenario planning, interdisciplinary resilient redesign planning workshops, and the development of regional climate indicators. Key to the Compact's efforts has been the engagement and expertise of academic and agency partners, including a formal collaboration between the Florida Climate Institute and the Compact to improve research and project collaborations focused on southeast Florida. This presentation will focus on the collaborative processes and work products that have served to accelerate resiliency planning and investments in southeast Florida, with specific examples of how local governments are using these work products to modernize agency processes, and build support among residents and business leaders.

  20. Leadership within regional climate change adaptation networks: the case of climate adaptation officers in Northern Hesse, Germany

    NARCIS (Netherlands)

    Stiller, S.J.; Meijerink, S.V.

    2016-01-01

    In the climate adaptation literature, leadership tends to be an understudied factor, although it may be crucial for regional adaptation governance. This article shows how leadership can be usefully conceptualized and operationalized within regional governance networks dealing with climate

  1. Validation of the Regional Climate Model ALARO with different dynamical downscaling approaches and different horizontal resolutions

    Science.gov (United States)

    Berckmans, Julie; Hamdi, Rafiq; De Troch, Rozemien; Giot, Olivier

    2015-04-01

    At the Royal Meteorological Institute of Belgium (RMI), climate simulations are performed with the regional climate model (RCM) ALARO, a version of the ALADIN model with improved physical parameterizations. In order to obtain high-resolution information of the regional climate, lateral bounary conditions (LBC) are prescribed from the global climate model (GCM) ARPEGE. Dynamical downscaling is commonly done in a continuous long-term simulation, with the initialisation of the model at the start and driven by the regularly updated LBCs of the GCM. Recently, more interest exists in the dynamical downscaling approach of frequent reinitializations of the climate simulations. For these experiments, the model is initialised daily and driven for 24 hours by the GCM. However, the surface is either initialised daily together with the atmosphere or free to evolve continuously. The surface scheme implemented in ALARO is SURFEX, which can be either run in coupled mode or in stand-alone mode. The regional climate is simulated on different domains, on a 20km horizontal resolution over Western-Europe and a 4km horizontal resolution over Belgium. Besides, SURFEX allows to perform a stand-alone or offline simulation on 1km horizontal resolution over Belgium. This research is in the framework of the project MASC: "Modelling and Assessing Surface Change Impacts on Belgian and Western European Climate", a 4-year project funded by the Belgian Federal Government. The overall aim of the project is to study the feedbacks between climate changes and land surface changes in order to improve regional climate model projections at the decennial scale over Belgium and Western Europe and thus to provide better climate projections and climate change evaluation tools to policy makers, stakeholders and the scientific community.

  2. Mitigation of Regional Temperature Extremes with Climate-Effective Land Management

    Science.gov (United States)

    Hirsch, Annette; Wilhelm, Micah; Davin, Edouard; Thiery, Wim; Seneviratne, Sonia

    2017-04-01

    Limiting global warming to well below 2 ˚C is an imminent challenge for humanity. However even if this global target can be met, some regions are still likely to experience substantial warming relative to others. Using idealized global climate simulations we examine the potential of land management options in affecting regional climate, with a focus on crop albedo enhancement and irrigation (Climate-effective Land Management). The implementation is performed over all crop regions globally to provide an upper bound. We find that the implementation of both crop albedo enhancement and irrigation can reduce hot temperature extremes by more than 2 ˚C in North America, Eurasia and India over the 21st century relative to a scenario without management application. The efficacy of crop albedo enhancement scales linearly with the magnitude, where a cooling response exceeding 0.5 ˚C was achieved with a large (i.e. ≥ 0.08) change in land surface albedo. We use a surface energy balance decomposition to evaluate regional differences in the response of temperature extremes to Climate-effective Land Management. Regional differences were attributed to the surface energy balance response with temperature changes mostly explained by latent heat flux changes for irrigation and net shortwave radiation changes for crop albedo enhancement. Our results overall demonstrate that regional warming of hot extremes in our climate model can be partially mitigated when using an idealized treatment of Climate-effective Land Management.

  3. Scalability of regional climate change in Europe for high-end scenarios

    DEFF Research Database (Denmark)

    Christensen, O. B.; Yang, S.; Boberg, F.

    2015-01-01

    With the help of a simulation using the global circulation model (GCM) EC-Earth, downscaled over Europe with the regional model DMI-HIRHAM5 at a 25 km grid point distance, we investigated regional climate change corresponding to 6°C of global warming to investigate whether regional climate change...... are close to the RCP8.5 emission scenario. We investigated the extent to which pattern scaling holds, i.e. the approximation that the amplitude of any climate change will be approximately proportional to the amount of global warming. We address this question through a comparison of climate change results...... generally scales with global temperature even for very high levels of global warming. Through a complementary analysis of CMIP5 GCM results, we estimated the time at which this temperature may be reached; this warming could be reached in the first half of the 22nd century provided that future emissions...

  4. Changes in regional climate extremes as a function of global mean temperature: an interactive plotting framework

    Science.gov (United States)

    Wartenburger, Richard; Hirschi, Martin; Donat, Markus G.; Greve, Peter; Pitman, Andy J.; Seneviratne, Sonia I.

    2017-09-01

    This article extends a previous study Seneviratne et al. (2016) to provide regional analyses of changes in climate extremes as a function of projected changes in global mean temperature. We introduce the DROUGHT-HEAT Regional Climate Atlas, an interactive tool to analyse and display a range of well-established climate extremes and water-cycle indices and their changes as a function of global warming. These projections are based on simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5). A selection of example results are presented here, but users can visualize specific indices of interest using the online tool. This implementation enables a direct assessment of regional climate changes associated with global mean temperature targets, such as the 2 and 1.5° limits agreed within the 2015 Paris Agreement.

  5. The effect of climate change on urban drainage: an evaluation based on regional climate model simulation.

    Science.gov (United States)

    Grum, M; Jørgensen, A T; Johansen, R M; Linde, J J

    2006-01-01

    That we are in a period of extraordinary rates of climate change is today evident. These climate changes are likely to impact local weather conditions with direct impacts on precipitation patterns and urban drainage. In recent years several studies have focused on revealing the nature, extent and consequences of climate change on urban drainage and urban runoff pollution issues. This study uses predictions from a regional climate model to look at the effects of climate change on extreme precipitation events. Results are presented in terms of point rainfall extremes. The analysis involves three steps: Firstly, hourly rainfall intensities from 16 point rain gauges are averaged to create a rain gauge equivalent intensity for a 25 x 25 km square corresponding to one grid cell in the climate model. Secondly, the differences between present and future in the climate model is used to project the hourly extreme statistics of the rain gauge surface into the future. Thirdly, the future extremes of the square surface area are downscaled to give point rainfall extremes of the future. The results and conclusions rely heavily on the regional model's suitability in describing extremes at timescales relevant to urban drainage. However, in spite of these uncertainties, and others raised in the discussion, the tendency is clear: extreme precipitation events effecting urban drainage and causing flooding will become more frequent as a result of climate change.

  6. Regional Climate Change Impacts in the United States

    Science.gov (United States)

    Hayhoe, K.; Burkett, V.; Grimm, N.; McCarthy, J.; Miles, E.; Overpeck, J.; Shea, E.; Wuebbles, D.

    2009-05-01

    Climate change will affect one region differently from another. For that reason, the U.S. Unified Synthesis Product "Global Climate Change Impacts in the United States" broke down its assessment of climate change impacts on the country into 8 regions. Key highlights include: In the Northeast, agricultural production, including dairy, fruit, and maple syrup, will be increasingly affected as favorable climates shift northward. In the Southeast, accelerated sea-level rise and increased hurricane intensity will have serious impacts. In the Midwest, under higher emissions scenarios, significant reductions in Great Lakes water levels will impact shipping, infrastructure, beaches, and ecosystems. In the Great Plains, projected increases in temperature, evaporation, and drought frequency exacerbate concerns regarding the region's declining water resources. In the Southwest, water supplies will become increasingly scarce, calling for trade-offs among competing uses, and potentially leading to conflict. In the Northwest, salmon and other cold-water species will experience additional stresses as a result of rising water temperatures and declining summer streamflows. In Alaska, thawing permafrost damages roads, runways, water and sewer systems, and other infrastructure. And in the U.S. islands in the Caribbean and Pacific, climate changes affecting coastal and marine ecosystems will have major implications for tourism and fisheries. In addition, significant sea-level rise and storm surge will affect coastal cities and ecosystems around the nation; low-lying and subsiding areas are most vulnerable.

  7. Northwest Climate Science Center: Integrating Regional Research, Conservation and Natural Resource Management

    Science.gov (United States)

    Mote, P.; Bisbal, G.

    2012-12-01

    The Northwest Climate Science Center (NW CSC) was established in 2010, among the first three of eight regional Climate Science Centers created by the Department of the Interior (DOI). The NW CSC is supported by an academic consortium (Oregon State University, University of Idaho, and the University of Washington), which has the capacity to generate and coordinate decision-relevant science related to climate, thus serving stakeholders across the Pacific Northwest region. The NW CSC has overlapping boundaries with three Landscape Conservation Cooperatives (LCCs): the Great Northern, the Great Basin, and the North Pacific. Collaboration between the NW CSC and these three LCCs addresses the highest priority regional climate science needs of Northwest natural and cultural resource managers. Early in 2012, the NW CSC released its first Strategic Plan for the period 2012-2015. The plan offers a practical blueprint for operation and describes five core services that the NW CSC provides to the Northwest community. These core services emphasize (a) bringing together the regional resource management and science communities to calibrate priorities and ensure efficient integration of climate science resources and tools when addressing practical issues of regional significance; (b) developing and implementing a stakeholder-driven science agenda which highlights the NW CSC's regional leadership in generating scenarios of the future environment of the NW; (c) supporting and training graduate students at the three consortium universities, including through an annual 'Climate science boot camp'; (d) providing a platform for effective climate-change-related communication among scientists, resource managers, and the general public; and (e) national leadership in data management and climate scenario development.

  8. California Wintertime Precipitation in Regional and Global Climate Models

    Energy Technology Data Exchange (ETDEWEB)

    Caldwell, P M

    2009-04-27

    In this paper, wintertime precipitation from a variety of observational datasets, regional climate models (RCMs), and general circulation models (GCMs) is averaged over the state of California (CA) and compared. Several averaging methodologies are considered and all are found to give similar values when model grid spacing is less than 3{sup o}. This suggests that CA is a reasonable size for regional intercomparisons using modern GCMs. Results show that reanalysis-forced RCMs tend to significantly overpredict CA precipitation. This appears to be due mainly to overprediction of extreme events; RCM precipitation frequency is generally underpredicted. Overprediction is also reflected in wintertime precipitation variability, which tends to be too high for RCMs on both daily and interannual scales. Wintertime precipitation in most (but not all) GCMs is underestimated. This is in contrast to previous studies based on global blended gauge/satellite observations which are shown here to underestimate precipitation relative to higher-resolution gauge-only datasets. Several GCMs provide reasonable daily precipitation distributions, a trait which doesn't seem tied to model resolution. GCM daily and interannual variability is generally underpredicted.

  9. With Climate Change Expanding Trade Routes in the Arctic and the Resultant Pursuit of Resources, it is Crucial that the Eight Arctic Nations Find Paths Towards Sustainability and Peace in the Region. Traditional Arctic Games are an Essential Scenario that Provide an Important Scale for Analysis Aimed at Medium-long term Sustainability in the Arctic.

    Science.gov (United States)

    Kilbourne, J. R.

    2016-12-01

    With climate change expanding trade routes in the Arctic and the resultant pursuit of oil, gas, mineral deposits, and fish, it is imperative that the eight Arctic countries find paths towards sustainability and peace in the region. Revisiting and understanding the traditional games of the indigenous people of these regions can go a long way towards helping those determining the region's future to work cooperatively towards these goals. Traditional games are an essential scenario that provide an important scale for analysis aimed at medium-long term sustainability in the Arctic. Throughout history the games we have played have been a testament about who we were, and are. From early Inuit bone and hunting games, to the gladiator contests of Ancient Rome, to the modern American game of baseball, the games we play have served as a statement of and a rehearsal for the life-world of that period and place. By reconnecting with and understanding the games of our past, we can build meaningful bridges between our past and present, and hopefully gain a better understanding of our modern world. The aforesaid are timely and important, especially as they relate to indigenous people throughout the world who are trying to preserve their traditions in a fast changing modern world. This presentation/paper will offer, based on my research and experiences in the Arctic, lessons learned from traditional Sámi and Inuit games that may help promote sustainability and peace in the Arctic world. Hopefully by acknowledging these lessons we can pursue a path forward, together reconnecting with the traditional games of the Arctic with the hope of building meaningful bridges between the past and present and moreover, helping to enhance our understanding of the important role traditional games can play in shaping an Arctic where sustainability and peace flourish.

  10. Strategies for soil initialization of regional decadal climate predictions

    Directory of Open Access Journals (Sweden)

    Steffen Kothe

    2016-12-01

    Full Text Available The deep soil shows a long-term climate memory. Thus, the initialization method of the soil state in climate simulations potentially has an impact on climate predictions. This study focuses on regional decadal climate predictions with the model COSMO-CLM for Africa and Europe, driven by the global climate model MPI-ESM. The impacts of five soil initialization methods of different complexity are compared and assessed against 2 m-temperature and precipitation observations. Even though the results are heterogeneous in space and time with high uncertainties, some basic conclusions can be drawn. The simplest approach, i.e. interpolating the soil initial fields of the driving global climate model, is worst. The interpolation of soil data from a re-analysis product (here ERA-Interim or extracting the initial state from a long-term spin-up simulation with COSMO-CLM driven by ERA-Interim give better results. Another approach extracts the initial state from a long-term spin-up simulation with COSMO-CLM's offline soil model TERRA-ML driven by gridded and improved observational data (here the WATCH data. The additional assimilation of satellite-based surface soil moisture data into this TERRA-ML simulation further improves the climate prediction in some regions. In conclusion, decadal climate prediction systems with sophisticated soil initialization schemes have the potential to make use of the soil's long-term memory. Most promising, but also most costly, is deep soil initialization by means of data assimilation. Remaining challenges are the persisting inconsistencies between driving data, assimilated observations, and soil model.

  11. Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods

    Science.gov (United States)

    Teutschbein, Claudia; Seibert, Jan

    2012-08-01

    SummaryDespite the increasing use of regional climate model (RCM) simulations in hydrological climate-change impact studies, their application is challenging due to the risk of considerable biases. To deal with these biases, several bias correction methods have been developed recently, ranging from simple scaling to rather sophisticated approaches. This paper provides a review of available bias correction methods and demonstrates how they can be used to correct for deviations in an ensemble of 11 different RCM-simulated temperature and precipitation series. The performance of all methods was assessed in several ways: At first, differently corrected RCM data was compared to observed climate data. The second evaluation was based on the combined influence of corrected RCM-simulated temperature and precipitation on hydrological simulations of monthly mean streamflow as well as spring and autumn flood peaks for five catchments in Sweden under current (1961-1990) climate conditions. Finally, the impact on hydrological simulations based on projected future (2021-2050) climate conditions was compared for the different bias correction methods. Improvement of uncorrected RCM climate variables was achieved with all bias correction approaches. While all methods were able to correct the mean values, there were clear differences in their ability to correct other statistical properties such as standard deviation or percentiles. Simulated streamflow characteristics were sensitive to the quality of driving input data: Simulations driven with bias-corrected RCM variables fitted observed values better than simulations forced with uncorrected RCM climate variables and had more narrow variability bounds.

  12. System and Method for Providing a Climate Data Analytic Services Application Programming Interface Distribution Package

    Science.gov (United States)

    Schnase, John L. (Inventor); Duffy, Daniel Q. (Inventor); Tamkin, Glenn S. (Inventor)

    2016-01-01

    A system, method and computer-readable storage devices for providing a climate data analytic services application programming interface distribution package. The example system can provide various components. The system provides a climate data analytic services application programming interface library that enables software applications running on a client device to invoke the capabilities of a climate data analytic service. The system provides a command-line interface that provides a means of interacting with a climate data analytic service by issuing commands directly to the system's server interface. The system provides sample programs that call on the capabilities of the application programming interface library and can be used as templates for the construction of new client applications. The system can also provide test utilities, build utilities, service integration utilities, and documentation.

  13. Climate change & infectious diseases in India: implications for health care providers.

    Science.gov (United States)

    Dhara, V Ramana; Schramm, Paul J; Luber, George

    2013-12-01

    Climate change has the potential to influence the earth's biological systems, however, its effects on human health are not well defined. Developing nations with limited resources are expected to face a host of health effects due to climate change, including vector-borne and water-borne diseases such as malaria, cholera, and dengue. This article reviews common and prevalent infectious diseases in India, their links to climate change, and how health care providers might discuss preventive health care strategies with their patients.

  14. Regional climate change scenarios for México

    NARCIS (Netherlands)

    Conde, C.; Estrada, F.; Martínez-Salvador, Begoña; Sánchez, O.; Gay, C.

    In this paper we present the regional climate change scenarios that were used for the assessment of the potential impacts in México on agriculture, livestock, forestry, hydrological resources as well as on human settlements and biodiversity. Those studies were developed for the Fourth Communication

  15. The role of leadership in regional climate change adaptation

    NARCIS (Netherlands)

    Meijerink, Sander; Stiller, Sabina; Keskitalo, E.C.H.; Scholten, Peter; Smits, Robert; Lamoen, van Frank

    2015-01-01

    This paper aims to better understand the role of leadership in regional climate change adaptation. We first present a framework, which distinguishes five functions of leadership within inter-organizational networks: the connective, enabling, adaptive, political–administrative and dissemination

  16. Evaluation of an ensemble of Arctic regional climate models

    DEFF Research Database (Denmark)

    Rinke, A.; Dethloff, K.; Cassano, J. J.

    2006-01-01

    Simulations of eight different regional climate models (RCMs) have been performed for the period September 1997-September 1998, which coincides with the Surface Heat Budget of the Arctic Ocean (SHEBA) project period. Each of the models employed approximately the same domain covering the western...

  17. A Regional Observatory for Producers' Climate Change Adaptation ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2016-04-22

    Apr 22, 2016 ... In the region of Thies, climate change and variability have a strong impact on the vulnerability of rural households. Meteorological and agricultural advisory information is produced by different stakeholders, but for individuals and households, access to these sources of information is very limited. This case ...

  18. Modeling of Regional Climate over Red Sea and Arabian Peninsula

    KAUST Repository

    Stenchikov, Georgiy L.

    2011-04-09

    Observations, re-analyses, and climate model simulations show strong surface temperature trends in Middle East and Arabian Peninsula in the last 30 years. Trends are especially pronounced in summer exceeding +1K/decade. However, some regions, e.g., the So

  19. Climate-Smart Landscapes for Managing Water Resources in the Tea Growing Regions of Northeast India

    Science.gov (United States)

    Gupta, N.; Biggs, E. M.; Saikia, S. D.; Duncan, J.

    2015-12-01

    Tea is an important global agricultural commodity, both commercially and culturally. Assam, an agrarian state in northeast India is the largest single tea growing region in the world and the productivity (both in terms of quantity and quality) requires a specific range of enviro-climatic conditions. Precipitation and temperature are two climate factors which highly influence productivity. Thus water plays a critical role in sustaining future tea production in Assam. Recently the region has been affected by heterogeneous spatiotemporal distributions of precipitation and rising temperatures. This has led to temporally varying drought-like conditions during the tea production season, reducing crop resilience and degrading yield quality. Quantifying regional climate-yield characteristics enables more effective decision-making regarding climate change mitigation, water resources management and adaptation to sustain (and enhance) future tea crop production. This research used a panel based regression model to statistically quantify the extent to which precipitation and temperature variables are associated with changes in tea yield. Monthly time-series climate and yield data were regressed for the period 2004 to 2014. Yield data were obtained from 80 tea estates across the four main tea growing regions of Assam, and 120 climate variables were selected for analysis. Results indicate that periods of drought (e.g. more than 10 consecutive days of zero precipitation) are significantly associated with reductions in yield, whereas periods of intense precipitation (e.g. number of days where the 95th percentile was exceeded) are generally associated with increased yield. These results have provided an enhanced understanding of climate-yield characteristics, which will subsequently be used to deliver more climate-smart advisory decision-support services to tea producers in the region. Although water resources management practices, such as water harvesting structures, check dams

  20. Review of the recent regional climate modelling studies of the Adriatic region

    Science.gov (United States)

    Guettler, Ivan

    2017-04-01

    Adriatic region is characterized by the distinct topographical and coastline structures. This leads to the specific climate regimes, and the formation of e.g. strong bora/Bura flows. The results of regional climate models from the EURO-CORDEX initiative and most recent DHMZ simulations using regional climate model RegCM4 will be presented and discussed. Planetary boundary layer quantities such as the near-surface air temperature, total precipitation amount and near-surface wind will be explored in terms of both systematic errors of the RCMs and their possible climate change projections for the rest of the 21st century. Finally, recent results concerning analytical modelling of the katabatic and anabatic flows will be presented, and possible further refinements of these models will be suggested.

  1. Reclip:century - a project conducting 21st century regional climate simulation runs focussing on the Greater Alpine Region

    Science.gov (United States)

    Loibl, Wolfgang

    2010-05-01

    Reclip:century (Research for Climate Protection: Century Model Runs) is a national climate simulation project aiming to deliver a range of climate simulations to provide scientifically sound data sets for the entire Greater Alpine Region, to be applied by the Austrian climate change impact research community. The simulation runs are carried out by four Austrian institutions: the Austria Institute of Technology (AIT), Vienna, heading the project, the Institute of Meteorology of the BOKU-University, Vienna, the Wegener Center for Climate and Global Change at Graz University and the Central Institute for Meteorology and Geodynamics (ZAMG), Vienna. The scenario results will demonstrate the range of climate evolution due to different greenhouse gas increase trends. The regional climate results conducted through dynamical downscaling of simulation runs from two General Circulation Model (GCM) simulation runs with two regional climate models (RCMs). A one-way double nesting approach is applied by the two RCMs COSMO CLM and MM5: the domain for the first nesting task is entire Europe and the surrounding areas with a spatial resolution of 30 to 50 km grid-spacing, depnding on the forcing data resolution. The second domain covers the Greater Alpine Region with a resolution of 0.09° or 10km grid-spacing. The GCMs, providing forcing data, are the German ECHAM5-MPI-OM (with approx. 100 km grid-spacing) and the UK HADCM3 (with approx. 200 km grid-spacing). Three IPCC - greenhouse gas scenarios (A1b, B2 and A2) for the time range 2000-2100 will be applied to compare the different greenhouse gas increase effects on regional climate. ERA40 reanalysis data for 1961-2000 GCM resolution will provide forcing for the hindcast model runs derived by the 2 RCMs. Observation data sets from HISTALP, CRU and Frei will be used to evaluate the hindcast simulations. The simulation runs are currently in progress. The contribution presents outcomes from the initial project phase, discussing

  2. Recent Rapid Regional Climate Warming on the Antarctic Peninsula

    Science.gov (United States)

    Vaughan, D. G.; Marshall, G. J.; Connolley, W. M.; Parkinson, C.; Mulvaney, R.; Hodgson, D. A.; King, J. C.; Pudsey, C. J.; Turner, J.

    2002-12-01

    The Intergovernmental Panel on Climate Change (IPCC) confirmed that global warming was 0.6 ñ 0.2 degrees C during the 20th Century and cited increases in greenhouse gases as a likely contributor. But this average conceals the complexity of observed climate change, which is seasonally biased, decadally variable and geographically patchy. In particular, over the last 50 years three high-latitude areas have undergone recent rapid regional (RRR) warming ? substantially more rapid than the global mean. We discuss the spatial and temporal significance of RRR warming in one area, the Antarctic Peninsula. New analyses of station records show no ubiquitous polar amplification of global warming but significant RRR warming on the Antarctic Peninsula. We investigate the likelihood that this could be amplification of a global warming, and use climate-proxy data to indicate that this RRR warming on the Antarctic Peninsula is unprecedented over the last two millennia and unlikely to be a natural mode of variability. We can show a strong connection between RRR warming and reduced sea-ice duration in an area on the west of the Antarctic Peninsula, but here we cannot yet distinguish cause and effect. Thus for the present we cannot determine which process causes the RRR warming, and until the mechanism initiating and sustaining it is understood, and is convincingly reproduced in climate models, we lack a sound basis for predicting climate change in this region over the coming century.

  3. Decadal climate variability in the Mediterranean region: roles of large-scale forcings and regional processes

    Energy Technology Data Exchange (ETDEWEB)

    Mariotti, Annarita [University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD (United States); Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Rome (Italy); Dell' Aquila, Alessandro [Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Rome (Italy)

    2012-03-15

    We analyze decadal climate variability in the Mediterranean region using observational datasets over the period 1850-2009 and a regional climate model simulation for the period 1960-2000, focusing in particular on the winter (DJF) and summer (JJA) seasons. Our results show that decadal variability associated with the winter and summer manifestations of the North Atlantic Oscillation (NAO and SNAO respectively) and the Atlantic Multidecadal Oscillation (AMO) significantly contribute to decadal climate anomalies over the Mediterranean region during these seasons. Over 30% of decadal variance in DJF and JJA precipitation in parts of the Mediterranean region can be explained by NAO and SNAO variability respectively. During JJA, the AMO explains over 30% of regional surface air temperature anomalies and Mediterranean Sea surface temperature anomalies, with significant influence also in the transition seasons. In DJF, only Mediterranean SST still significantly correlates with the AMO while regional surface air temperature does not. Also, there is no significant NAO influence on decadal Mediterranean surface air temperature anomalies during this season. A simulation with the PROTHEUS regional ocean-atmosphere coupled model is utilized to investigate processes determining regional decadal changes during the 1960-2000 period, specifically the wetter and cooler 1971-1985 conditions versus the drier and warmer 1986-2000 conditions. The simulation successfully captures the essence of observed decadal changes. Model set-up suggests that AMO variability is transmitted to the Mediterranean/European region and the Mediterranean Sea via atmospheric processes. Regional feedbacks involving cloud cover and soil moisture changes also appear to contribute to observed changes. If confirmed, the linkage between Mediterranean temperatures and the AMO may imply a certain degree of regional decadal climate predictability. The AMO and other decadal influences outlined here should be

  4. The direct impact of climate change on regional labor productivity.

    Science.gov (United States)

    Kjellstrom, Tord; Kovats, R Sari; Lloyd, Simon J; Holt, Tom; Tol, Richard S J

    2009-01-01

    Global climate change will increase outdoor and indoor heat loads, and may impair health and productivity for millions of working people. This study applies physiological evidence about effects of heat, climate guidelines for safe work environments, climate modeling, and global distributions of working populations to estimate the impact of 2 climate scenarios on future labor productivity. In most regions, climate change will decrease labor productivity, under the simple assumption of no specific adaptation. By the 2080s, the greatest absolute losses of population-based labor work capacity (in the range 11% to 27%) are seen under the A2 scenario in Southeast Asia, Andean and Central America, and the Caribbean. Increased occupational heat exposure due to climate change may significantly impact on labor productivity and costs unless preventive measures are implemented. Workers may need to work longer hours, or more workers may be required, to achieve the same output and there will be economic costs of lost production and/or occupational health interventions against heat exposures.

  5. Regional feedbacks under changing climate and land-use conditions

    Science.gov (United States)

    Batlle Bayer, L.; van den Hurk, B. J. J. M.; Strengers, B. J.; van Minnen, J. G.

    2012-04-01

    Ecosystem responses to a changing climate and human-induced climate forcings (e.g. deforestation) might amplify (positive feedback) or dampen (negative feedback) the initial climate response. Feedbacks may include the biogeochemical (e.g. carbon cycle) and biogeophysical feedbacks (e.g. albedo and hydrological cycle). Here, we first review the most important feedbacks and put them into the context of a conceptual framework, including the major processes and interactions between terrestrial ecosystems and climate. We explore potential regional feedbacks in four hot spots with pronounced potential changes in land-use/management and local climate: sub-Saharan Africa (SSA), Europe, the Amazon Basin and South and Southeast Asia. For each region, the relevant human-induced climate forcings and feedbacks were identified based on published literature. When evapotranspiration is limited by a soil water deficit, heat waves in Europe are amplified (positive soil moisture-temperature feedback). Drought events in the Amazon lead to further rainfall reduction when water recycling processes are affected (positive soil moisture-precipitation feedback). In SSA, the adoption of irrigation in the commonly rainfed systems can modulate the negative soil moisture-temperature feedback. In contrast, future water shortage in South and Southeast Asia can turn the negative soil moisture-temperature feedback into a positive one. Further research including advanced modeling strategies is needed to isolate the dominant processes affecting the strength and sign of the feedbacks. In addition, the socio-economic dimension needs to be considered in the ecosystems-climate system to include the essential role of human decisions on land-use and land-cover change (LULCC). In this context, enhanced integration between Earth System (ES) and Integrated Assessment (IA) modeling communities is strongly recommended.

  6. Promoting Regionally-Based Climate Change Education through Collaborations with Formal and Informal Education Institutions

    Science.gov (United States)

    Stylinski, C.; Griswold, M.

    2012-12-01

    Improving climate literacy is necessary to effectively respond to climate change impacts. However, climate change education efforts face significant hurdles both in the classroom and in out-of-school settings. These include addressing uncertainity and the complex mix of drivers and impacts that occur over large spatial and temporal scales. These efforts are further hampered by audiences who are disinterested and resisant to discussions of anthropogenic climate change. Bridging formal and informal education experiences focused on climate change offers a potentially powerful strategy to tackle these challenges. In this session, we will describe our NSF-funded Maryland-Delaware Climate Change Education, Assessment and Research (MADE-CLEAR) project, which applies a comprehensive regional partnership among scientists, education researchers, K-12 and informal education practitioners, and other stakeholders to improve public and student understanding of and engagement in climate change issues and solutions. To better understand gaps and opportunities, we have conducted surveys and interviews with K-12, informal, and undergraduate educators and administrators. We found that climate change education aligns with most institutions' missions and efforts, that most educators do not face institutional barriers to climate change education, and that climate change is typically incorporated as part of a host of environmental issues. Despite this, climate change education is still quite limited with few institutions explicitly focusing on climate change in their programming. Additionally, there is little apparent communication among these institutions with regard to this issue. In response to these needs, we have focused the MADE-CLEAR project on creating and providing regionally-relevant resouces and professional development on climate change science, impacts and solutions for both formal and informal educators. Our approach is collaborative and includes strategies to promote

  7. Regional Climate Variability Under Model Simulations of Solar Geoengineering

    Science.gov (United States)

    Dagon, Katherine; Schrag, Daniel P.

    2017-11-01

    Solar geoengineering has been shown in modeling studies to successfully mitigate global mean surface temperature changes from greenhouse warming. Changes in land surface hydrology are complicated by the direct effect of carbon dioxide (CO2) on vegetation, which alters the flux of water from the land surface to the atmosphere. Here we investigate changes in boreal summer climate variability under solar geoengineering using multiple ensembles of model simulations. We find that spatially uniform solar geoengineering creates a strong meridional gradient in the Northern Hemisphere temperature response, with less consistent patterns in precipitation, evapotranspiration, and soil moisture. Using regional summertime temperature and precipitation results across 31-member ensembles, we show a decrease in the frequency of heat waves and consecutive dry days under solar geoengineering relative to a high-CO2 world. However in some regions solar geoengineering of this amount does not completely reduce summer heat extremes relative to present day climate. In western Russia and Siberia, an increase in heat waves is connected to a decrease in surface soil moisture that favors persistent high temperatures. Heat waves decrease in the central United States and the Sahel, while the hydrologic response increases terrestrial water storage. Regional changes in soil moisture exhibit trends over time as the model adjusts to solar geoengineering, particularly in Siberia and the Sahel, leading to robust shifts in climate variance. These results suggest potential benefits and complications of large-scale uniform climate intervention schemes.

  8. MODIS land cover uncertainty in regional climate simulations

    Science.gov (United States)

    Li, Xue; Messina, Joseph P.; Moore, Nathan J.; Fan, Peilei; Shortridge, Ashton M.

    2017-12-01

    MODIS land cover datasets are used extensively across the climate modeling community, but inherent uncertainties and associated propagating impacts are rarely discussed. This paper modeled uncertainties embedded within the annual MODIS Land Cover Type (MCD12Q1) products and propagated these uncertainties through the Regional Atmospheric Modeling System (RAMS). First, land cover uncertainties were modeled using pixel-based trajectory analyses from a time series of MCD12Q1 for Urumqi, China. Second, alternative land cover maps were produced based on these categorical uncertainties and passed into RAMS. Finally, simulations from RAMS were analyzed temporally and spatially to reveal impacts. Our study found that MCD12Q1 struggles to discriminate between grasslands and croplands or grasslands and barren in this study area. Such categorical uncertainties have significant impacts on regional climate model outputs. All climate variables examined demonstrated impact across the various regions, with latent heat flux affected most with a magnitude of 4.32 W/m2 in domain average. Impacted areas were spatially connected to locations of greater land cover uncertainty. Both biophysical characteristics and soil moisture settings in regard to land cover types contribute to the variations among simulations. These results indicate that formal land cover uncertainty analysis should be included in MCD12Q1-fed climate modeling as a routine procedure.

  9. Regional scenarios of future climate change over southern Africa

    CSIR Research Space (South Africa)

    Engelbrecht, F

    2010-08-01

    Full Text Available 25 Map 5.4 Balance of mean annual groundwater use vs recharge (%) 25 CASE STUDY - Climate change and water resources: Altered water availability 26 and increased societal risks 6 Agriculture 28 Map 6.1 Accumulated heat units (degree... Regional scenarios of future climate change over southern Africa 6 Map 3.1 Dynamically downscaled projected summer, autumn, winter, spring future 9 temperature over South Africa for the period 2070?2100 vs 1975-2005 Map 3.2 Dynamically downscaled...

  10. Winter precipitation and cyclones in the Mediterranean region: future climate scenarios in a regional simulation

    Directory of Open Access Journals (Sweden)

    P. Lionello

    2007-11-01

    Full Text Available Future climate projections show higher/lower winter (Dec-Jan-Feb precipitation in the northern/southern Mediterranean region than in present climate conditions. This paper analyzes the results of regional model simulations of the A2 and B2 scenarios, which confirm this opposite precipitation change and link it to the change of cyclone activity. The increase of the winter cyclone activity in future climate scenarios over western Europe is responsible for the larger precipitation at the northern coast of the basin, though the bulk of the change is located outside the Mediterranean region. The reduction of cyclone activity inside the Mediterranean region in future scenarios is responsible for the lower precipitation at the southern and eastern Mediterranean coast.

  11. Why inputs matter: Selection of climatic variables for species distribution modelling in the Himalayan region

    Science.gov (United States)

    Bobrowski, Maria; Schickhoff, Udo

    2017-04-01

    Betula utilis is a major constituent of alpine treeline ecotones in the western and central Himalayan region. The objective of this study is to provide first time analysis of the potential distribution of Betula utilis in the subalpine and alpine belts of the Himalayan region using species distribution modelling. Using Generalized Linear Models (GLM) we aim at examining climatic factors controlling the species distribution under current climate conditions. Furthermore we evaluate the prediction ability of climate data derived from different statistical methods. GLMs were created using least correlated bioclimatic variables derived from two different climate models: 1) interpolated climate data (i.e. Worldclim, Hijmans et al., 2005) and 2) quasi-mechanistical statistical downscaling (i.e. Chelsa; Karger et al., 2016). Model accuracy was evaluated by the ability to predict the potential species distribution range. We found that models based on variables of Chelsa climate data had higher predictive power, whereas models using Worldclim climate data consistently overpredicted the potential suitable habitat for Betula utilis. Although climatic variables of Worldclim are widely used in modelling species distribution, our results suggest to treat them with caution when remote regions like the Himalayan mountains are in focus. Unmindful usage of climatic variables for species distribution models potentially cause misleading projections and may lead to wrong implications and recommendations for nature conservation. References: Hijmans, R.J., Cameron, S.E., Parra, J.L., Jones, P.G. & Jarvis, A. (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 1965-1978. Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N., Linder, H.P. & Kessler, M. (2016) Climatologies at high resolution for the earth land surface areas. arXiv:1607.00217 [physics].

  12. Centennial glacier retreat as categorical evidence of regional climate change

    Science.gov (United States)

    Roe, Gerard H.; Baker, Marcia B.; Herla, Florian

    2017-02-01

    The near-global retreat of glaciers over the last century provides some of the most iconic imagery for communicating the reality of anthropogenic climate change to the public. Surprisingly, however, there has not been a quantitative foundation for attributing the retreats to climate change, except in the global aggregate. This gap, between public perception and scientific basis, is due to uncertainties in numerical modelling and the short length of glacier mass-balance records. Here we present a method for assessing individual glacier change based on the signal-to-noise ratio, a robust metric that is insensitive to uncertainties in glacier dynamics. Using only meteorological and glacier observations, and the characteristic decadal response time of glaciers, we demonstrate that observed retreats of individual glaciers represent some of the highest signal-to-noise ratios of climate change yet documented. Therefore, in many places, the centennial-scale retreat of the local glaciers does indeed constitute categorical evidence of climate change.

  13. Perceptions of climate change and trust in information providers in rural Australia.

    Science.gov (United States)

    Buys, Laurie; Aird, Rosemary; van Megen, Kimberley; Miller, Evonne; Sommerfeld, Jeffrey

    2014-02-01

    Disagreement within the global science community about the certainty and causes of climate change has led the general public to question what to believe and whom to trust on matters related to this issue. This paper reports on qualitative research undertaken with Australian residents from two rural areas to explore their perceptions of climate change and trust in information providers. While overall, residents tended to agree that climate change is a reality, perceptions varied in terms of its causes and how best to address it. Politicians, government, and the media were described as untrustworthy sources of information about climate change, with independent scientists being the most trusted. The vested interests of information providers appeared to be a key reason for their distrust. The findings highlight the importance of improved transparency and consultation with the public when communicating information about climate change and related policies.

  14. Interactive Development of Regional Climate Web Pages for the Western United States

    Science.gov (United States)

    Oakley, N.; Redmond, K. T.

    2013-12-01

    Weather and climate have a pervasive and significant influence on the western United States, driving a demand for information that is ongoing and constantly increasing. In communications with stakeholders, policy makers, researchers, educators, and the public through formal and informal encounters, three standout challenges face users of weather and climate information in the West. First, the needed information is scattered about the web making it difficult or tedious to access. Second, information is too complex or requires too much background knowledge to be immediately applicable. Third, due to complex terrain, there is high spatial variability in weather, climate, and their associated impacts in the West, warranting information outlets with a region-specific focus. Two web sites, TahoeClim and the Great Basin Weather and Climate Dashboard were developed to overcome these challenges to meeting regional weather and climate information needs. TahoeClim focuses on the Lake Tahoe Basin, a region of critical environmental concern spanning the border of Nevada and California. TahoeClim arose out of the need for researchers, policy makers, and environmental organizations to have access to all available weather and climate information in one place. Additionally, TahoeClim developed tools to both interpret and visualize data for the Tahoe Basin with supporting instructional material. The Great Basin Weather and Climate Dashboard arose from discussions at an informal meeting about Nevada drought organized by the USDA Farm Service Agency. Stakeholders at this meeting expressed a need to take a 'quick glance' at various climate indicators to support their decision making process. Both sites were designed to provide 'one-stop shopping' for weather and climate information in their respective regions and to be intuitive and usable by a diverse audience. An interactive, 'co-development' approach was taken with sites to ensure needs of potential users were met. The sites were

  15. Artificial snowmaking possibilities and climate change based on regional climate modeling in the Southern Black Forest

    Energy Technology Data Exchange (ETDEWEB)

    Schmidt, Philipp; Matzarakis, Andreas [Freiburg Univ. (Germany). Meteorological Inst.; Steiger, Robert [alpS - Centre for Climate Change Adaptation Technologies, Innsbruck (Austria)

    2012-04-15

    Winter sport, especially ski tourism - is one of those sectors of tourism that will be affected by climate change. Ski resorts across the Alps and in the adjacent low mountain ranges react to warm winter seasons by investing in artificial snowmaking. But snowmaking in warm winter seasons is fraught with risk, because sufficiently low air temperature will become less frequent in the future. The present study deals with the ski resort Feldberg, which has 14 ski lifts and 16 ski slopes which is the biggest ski resort in the German Federal state Baden-Wuerttemberg. The impact of climate change in this region is extraordinary important because winter tourism is the main source of revenue for the whole area around the ski resort. The study area is in altitudinal range of 850 to 1450 meters above sea level. At the moment, it is possible to supply one third of the whole area with artificial snow, but there is plan for artificial snowmaking of the whole Feldberg area by the year 2020. Based on this, more detailed investigations of season length and the needed volume of produced snow are necessary. A ski season simulation model (SkiSim 2.0) was applied in order to assess potential impacts of climate change on the Feldberg ski area for the A1B and B1 emission scenarios based on the ECHAM5 GCM downscaled by the REMO RCM. SkiSim 2.0 calculates daily snow depth (natural and technically produced snow) and the required amount of artificial snow for 100 m altitudinal bands. Analysing the development of the number of potential skiing days, it can be assessed whether ski operation is cost covering or not. Model results of the study show a more pronounced and rapid shortening of the ski season in the lower ranges until the year 2100 in each climate scenario. In both the A1B and B1 scenario runs of REMO, a cost-covering ski season of 100 days cannot be guaranteed in every altitudinal range even if snowmaking is considered. In this context, the obtained high-resolution snow data can

  16. Climate and climate variability of the wind power resources in the Great Lakes region of the United States

    Science.gov (United States)

    X. Li; S. Zhong; X. Bian; W.E. Heilman

    2010-01-01

    The climate and climate variability of low-level winds over the Great Lakes region of the United States is examined using 30 year (1979-2008) wind records from the recently released North American Regional Reanalysis (NARR), a three-dimensional, high-spatial and temporal resolution, and dynamically consistent climate data set. The analyses focus on spatial distribution...

  17. Evaluation of uncertainties in regional climate change simulations

    DEFF Research Database (Denmark)

    Pan, Z.; Christensen, J. H.; Arritt, R. W.

    2001-01-01

    correlation for climate change suggests that even though future precipitation is projected to increase, its overall continental-scale spatial pattern is expected to remain relatively constant. The low RCM performance correlation shows a modeling challenge to reproduce observed spatial precipitation patterns.......We have run two regional climate models (RCMs) forced by three sets of initial and boundary conditions to form a 2x3 suite of 10-year climate simulations for the continental United States at approximately 50 km horizontal resolution. The three sets of driving boundary conditions are a reanalysis...... different geographic locations. However, both models missed heavy cool-season precipitation in the lower Mississippi River basin, a seemingly common model defect. Various simulation biases (differences) produced by the RCMs are evaluated based on the 2x3 experiment set in addition to comparisons...

  18. Improved power-law estimates from multiple samples provided by millennium climate simulations

    Science.gov (United States)

    Henriksson, S. V.; Räisänen, P.; Silen, J.; Järvinen, H.; Laaksonen, A.

    2015-02-01

    Using the long annual mean temperature time series provided by millennium Earth System Model simulations and a method of discrete Fourier transform with varying starting point and length of time window together with averaging, we get good fits to power laws between two characteristic oscillatory timescales of the model climate: multidecadal (50-80 years) and El Nino (3-6 years) timescales. For global mean temperature, we fit β ˜ 0.35 in a relation S( f) ˜ f - β in a simulation without external climate forcing and β over 0.7 in a simulation with external forcing included. The power law is found both with and without external forcing despite the forcings, e.g. the volcanic forcing, not showing similar behaviour, indicating a nonlinear temperature response to time-varying forcing. We also fit a power law with β ˜ 8 to the narrow frequency range between El Nino frequencies (up to 1/(3.2 years)) and the Nyquist frequency (1/(2 years)). Also, monthly mean temperature time series are considered and a decent power-law fit for frequencies above 1/year is obtained. Regional variability in best-fit β is explored, and the impact of choosing the frequency range on the result is illustrated. When all resolved frequencies are used, land areas seem to have lower βs than ocean areas on average, but when fits are restricted to frequencies below 1/(6 years), this difference disappears, while regional differences still remain. Results compare well with measurements both for global mean temperature and for the central England temperature record.

  19. Using Local Climate Science to Educate "Key Influentials" and their Communities in the San Diego Region

    Science.gov (United States)

    Boudrias, M. A.; Estrada, M.; Anders, S.; Silva-Send, N. J.; Yin, Z.; Schultz, P.; Young, E.

    2012-12-01

    The San Diego Regional Climate Education Partnership has formed an innovative and collaborative team whose mission is to implement a research-based climate science education and communications program to increase knowledge about climate science among highly-influential leaders and their communities and foster informed decision making based on climate science and impacts. The team includes climate scientists, behavioral psychologists, formal and informal educators and communication specialists. The Partnership's strategic plan has three major goals: (1) raise public understanding of the causes and consequences of climate change; (2) identify the most effective educational methods to educate non-traditional audiences (Key Influentials) about the causes and consequences of climate change; and (3) develop and implement a replicable model for regional climate change education. To implement this strategic plan, we have anchored our project on three major pillars: (1) Local climate science (causes, impacts and long-term consequences); (2) theoretical, research-based evaluation framework (TIMSI); and (3) Key! Influentials (KI) as primary audience for messages (working w! ith and through them). During CCEP-I, the Partnership formed and convened an advisory board of Key Influentials, completed interviews with a sample of Key Influentials, conducted a public opinion survey, developed a website (www.sandiego.edu/climate) , compiled inventories on literature of climate science education resources and climate change community groups and local activities, hosted stakeholder forums, and completed the first phase of on an experiment to test the effects of different messengers delivering the same local climate change message via video. Results of 38 KI Interviews provided evidence of local climate knowledge, strong concern about climate change, and deeply held values related to climate change education and regional leadership. The most intriguing result was that while 90% of Key

  20. The United States National Climate Assessment - Alaska Technical Regional Report

    Science.gov (United States)

    Markon, Carl J.; Trainor, Sarah F.; Chapin, F. Stuart; Markon, Carl J.; Trainor, Sarah F.; Chapin, F. Stuart

    2012-01-01

    been followed by a roughly 5°F increase since the 1980s. Many areas in the continuous permafrost zone have seen increases in temperature in the seasonally active layer and a decrease in re-freezing rates. Changes in the discontinuous permafrost zone are initially much more observable due to the resulting thermokarst terrain (land surface formed as ice rich permafrost thaws), most notable in boreal forested areas. Climate warming in Alaska has potentially broad implications for human health and food security, especially in rural areas, as well as increased risk for injury with changing winter ice conditions. Additionally, such warming poses the potential for increasing damage to existing water and sanitation facilities and challenges for development of new facilities, especially in areas underlain by permafrost. Non-infectious and infectious diseases also are becoming an increasing concern. For example, from 1999 to 2006 there was a statistically significant increase in medical claims for insectbite reactions in five of six regions of Alaska, with the largest percentage increase occurring in the most northern areas. The availability and quality of subsistence foods, normally considered to be very healthy, may change due to changing access, changing habitats, and spoilage of meat in food storage cellars. These and other trends and potential outcomes resulting from a changing climate are further described in this report. In addition, we describe new science leadership activities that have been initiated to address and provide guidance toward conducting research aimed at making available information for policy makers and land management agencies to better understand, address, and plan for changes to the local and regional environment. This report cites data in both metric and standard units due to the contributions by numerous authors and the direct reference of their data.

  1. Sensitivity of simulated regional Arctic climate to the choice of coupled model domain

    Directory of Open Access Journals (Sweden)

    Dmitry V. Sein

    2014-07-01

    North Pacific area into the coupled system drastically changes the Arctic climate variability to a point where the Arctic Oscillation becomes an ‘internal mode’ of variability and correlations of year-to-year variability with observational data vanish. In line with previous studies, our simulations provide evidence that Arctic sea ice export is mainly due to ‘internal variability’ within the Arctic region. We conclude that the choice of model domains should be based on physical knowledge of the atmospheric and oceanic processes and not on ‘geographic’ reasons. This is particularly the case for areas like the Arctic, which has very complex feedbacks between components of the regional climate system.

  2. Problems and Ways of Improving the Business Climate in the Regions

    Directory of Open Access Journals (Sweden)

    Nazym Aminovna Uruzbaeva

    2016-03-01

    Full Text Available The existence of the specific conditions and development factors of small and medium-sized enterprises (SMEs in the regions of Kazakhstan supposes the differentiated state policy in order to maintain a favorable business climate. The article presents the results of the research whose purpose was to determine the main issues and directions of the improvement of the business climate in the regions. This allows to intensify the activities of local authorities in support of SMEs considering the peculiarities of the territories’ development. The subject matter of this research is the conditions and factors generating the business climate of the region. As a hypothesis, a direct connection between the prevailing regional business climate and the development of the quantitative indicators of active SMEs in the field was assumed. The study used the method of comparative analysis, sociological methods of focus groups, survey research, statistical methods and statistical methods of ranking and grouping. The article theoretically substantiates the correctness of the usage of «business climate» category as a scope of the study in the framework of the project of «Implementation of «Business Climate» as an Independent Rating», which makes possible the argumentation of the used methodology and concretization of the factors affecting the functioning of SMEs in the regions. This research has confirmed the direct correlation between the established business climate in the regions and quantitative indicators of the development of SMEs at the local level. Such factors as “financial resources” and “government support” have been determined as limiting the business development in a greater degree. In conclusion, a set of measures to improve the business climate in the region both at national and regional levels of government has been provided. In addition, it has been concluded that to generate a favorable business environment in the regions of

  3. Linking the Weather Generator with Regional Climate Model

    Science.gov (United States)

    Dubrovsky, Martin; Farda, Ales; Skalak, Petr; Huth, Radan

    2013-04-01

    One of the downscaling approaches, which transform the raw outputs from the climate models (GCMs or RCMs) into data with more realistic structure, is based on linking the stochastic weather generator with the climate model output. The present contribution, in which the parametric daily surface weather generator (WG) M&Rfi is linked to the RCM output, follows two aims: (1) Validation of the new simulations of the present climate (1961-1990) made by the ALADIN-Climate Regional Climate Model at 25 km resolution. The WG parameters are derived from the RCM-simulated surface weather series and compared to those derived from weather series observed in 125 Czech meteorological stations. The set of WG parameters will include statistics of the surface temperature and precipitation series (including probability of wet day occurrence). (2) Presenting a methodology for linking the WG with RCM output. This methodology, which is based on merging information from observations and RCM, may be interpreted as a downscaling procedure, whose product is a gridded WG capable of producing realistic synthetic multivariate weather series for weather-ungauged locations. In this procedure, WG is calibrated with RCM-simulated multi-variate weather series in the first step, and the grid specific WG parameters are then de-biased by spatially interpolated correction factors based on comparison of WG parameters calibrated with gridded RCM weather series and spatially scarcer observations. The quality of the weather series produced by the resultant gridded WG will be assessed in terms of selected climatic characteristics (focusing on characteristics related to variability and extremes of surface temperature and precipitation). Acknowledgements: The present experiment is made within the frame of projects ALARO-Climate (project P209/11/2405 sponsored by the Czech Science Foundation), WG4VALUE (project LD12029 sponsored by the Ministry of Education, Youth and Sports of CR) and VALUE (COST ES 1102

  4. Northeast and Midwest regional species and habitats at greatest risk and most vulnerable to climate impacts

    Science.gov (United States)

    Staudinger, Michelle D.; Hilberg, Laura; Janowiak, Maria; Swanton, C.O.

    2016-01-01

    The objectives of this Chapter are to describe climate change vulnerability, it’s components, the range of assessment methods being implemented regionally, and examples of training resources and tools. Climate Change Vulnerability Assessments (CCVAs) have already been conducted for numerous Regional Species of Greatest Conservation Need and their dependent 5 habitats across the Northeast and Midwest. This chapter provides a synthesis of different assessment frameworks, information on the locations (e.g., States) where vulnerability assessments were conducted, lists of individual species and habitats with their respective vulnerability rankings, and a comparison of how vulnerability rankings were determined among studies.

  5. Health and climate related ecosystem services provided by street trees in the urban environment.

    Science.gov (United States)

    Salmond, Jennifer A; Tadaki, Marc; Vardoulakis, Sotiris; Arbuthnott, Katherine; Coutts, Andrew; Demuzere, Matthias; Dirks, Kim N; Heaviside, Clare; Lim, Shanon; Macintyre, Helen; McInnes, Rachel N; Wheeler, Benedict W

    2016-03-08

    Urban tree planting initiatives are being actively promoted as a planning tool to enable urban areas to adapt to and mitigate against climate change, enhance urban sustainability and improve human health and well-being. However, opportunities for creating new areas of green space within cities are often limited and tree planting initiatives may be constrained to kerbside locations. At this scale, the net impact of trees on human health and the local environment is less clear, and generalised approaches for evaluating their impact are not well developed.In this review, we use an urban ecosystems services framework to evaluate the direct, and locally-generated, ecosystems services and disservices provided by street trees. We focus our review on the services of major importance to human health and well-being which include 'climate regulation', 'air quality regulation' and 'aesthetics and cultural services'. These are themes that are commonly used to justify new street tree or street tree retention initiatives. We argue that current scientific understanding of the impact of street trees on human health and the urban environment has been limited by predominantly regional-scale reductionist approaches which consider vegetation generally and/or single out individual services or impacts without considering the wider synergistic impacts of street trees on urban ecosystems. This can lead planners and policymakers towards decision making based on single parameter optimisation strategies which may be problematic when a single intervention offers different outcomes and has multiple effects and potential trade-offs in different places.We suggest that a holistic approach is required to evaluate the services and disservices provided by street trees at different scales. We provide information to guide decision makers and planners in their attempts to evaluate the value of vegetation in their local setting. We show that by ensuring that the specific aim of the intervention, the

  6. Hydrological Modeling in Northern Tunisia with Regional Climate Model Outputs: Performance Evaluation and Bias-Correction in Present Climate Conditions

    Directory of Open Access Journals (Sweden)

    Asma Foughali

    2015-07-01

    Full Text Available This work aims to evaluate the performance of a hydrological balance model in a watershed located in northern Tunisia (wadi Sejnane, 378 km2 in present climate conditions using input variables provided by four regional climate models. A modified version (MBBH of the lumped and single layer surface model BBH (Bucket with Bottom Hole model, in which pedo-transfer parameters estimated using watershed physiographic characteristics are introduced is adopted to simulate the water balance components. Only two parameters representing respectively the water retention capacity of the soil and the vegetation resistance to evapotranspiration are calibrated using rainfall-runoff data. The evaluation criterions for the MBBH model calibration are: relative bias, mean square error and the ratio of mean actual evapotranspiration to mean potential evapotranspiration. Daily air temperature, rainfall and runoff observations are available from 1960 to 1984. The period 1960–1971 is selected for calibration while the period 1972–1984 is chosen for validation. Air temperature and precipitation series are provided by four regional climate models (DMI, ARP, SMH and ICT from the European program ENSEMBLES, forced by two global climate models (GCM: ECHAM and ARPEGE. The regional climate model outputs (precipitation and air temperature are compared to the observations in terms of statistical distribution. The analysis was performed at the seasonal scale for precipitation. We found out that RCM precipitation must be corrected before being introduced as MBBH inputs. Thus, a non-parametric quantile-quantile bias correction method together with a dry day correction is employed. Finally, simulated runoff generated using corrected precipitation from the regional climate model SMH is found the most acceptable by comparison with runoff simulated using observed precipitation data, to reproduce the temporal variability of mean monthly runoff. The SMH model is the most accurate to

  7. Future change of climate classification over South Korea in multi regional climate simulations

    Science.gov (United States)

    Lee, Hyeon-Jae; Kim, Gayoung; Park, Changyong; Cha, Dong-Hyun

    2017-04-01

    Regional climate simulations for the CORDEX East Asia domain were conducted between 1981 and 2100 using five models to produce climate change projection based on RCP26, 45, 60, 85 scenarios. In this study using the ensemble of five model results, future changes in climate zones of South Korea were investigated according to Köppen-Trewartha's classification criteria. Four periods, historical (1981 2005), early future (2021 2040), middle future (2041 2070), and late future (2071 2100) were analyzed to examine future changes. In historical (1981 2005) period, the subtropical zones are only dominant in the south coastal regions and Jeju island, while those tend to expand in the future periods. Depending on the RCP scenarios, the more radiative forcing results in the larger subtropical zone over South Korea. The expansion of the subtropical zone in metropolitan areas is more evident than that in rural areas. In addition, the enlargement of subtropical zone in coastal regions is more prominent that in inland regions. Particularly, the subtropical climate zone for the late future period of RCP85 scenario is significantly dominant in most South Korea. Acknowledgement The research was supported by the Korea Meteorological Administration Research and Development program under grant KMIPA 2015-2083 and the National Research Foundation of Korea Grant funded by the Ministry of Science, ICT and Future Planning of Korea (NRF-2016M3C4A7952637) for its support and assistant in completion of the study.

  8. Cenozoic climate and paleogeographic changes in the Pacific region

    Science.gov (United States)

    Cronin, T. M.; Ogasawara, K.; Wolfe, J.A.

    1994-01-01

    This special issue represents the proceedings of the symposium, held as part of the 29th International Geological Congress, 1992. Other relevant papers on Cainozoic climate change in Japan are also included. Data is assembled from the Pacific Ocean itself, its marginal seas, in particular the Sea of Japan, and the surrounding coastal states. The palaeoenvironment of the region is reconstructed from the analysis of micropalaeontological, isotopic and stratigraphic data from deep-sea and terrestrial cores. -S.J.Stone

  9. Multisite bias correction of precipitation data from regional climate models

    Czech Academy of Sciences Publication Activity Database

    Hnilica, Jan; Hanel, M.; Puš, V.

    2017-01-01

    Roč. 37, č. 6 (2017), s. 2934-2946 ISSN 0899-8418 R&D Projects: GA ČR GA16-05665S Grant - others:Grantová agentura ČR - GA ČR(CZ) 16-16549S Institutional support: RVO:67985874 Keywords : bias correction * regional climate model * correlation * covariance * multivariate data * multisite correction * principal components * precipitation Subject RIV: DA - Hydrology ; Limnology Impact factor: 3.760, year: 2016

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

    Science.gov (United States)

    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. Copyright © 2015 Elsevier B.V. All rights reserved.

  11. USDA Regional Climate Hubs - Partnering to bring information and tools to managers of working lands

    Science.gov (United States)

    Johnson, R.

    2014-12-01

    In February 2014, USDA announced the location of seven Regional Hubs for Risk Adaptation and Mitigation to Climate Change (Climate Hubs) and three "Sub Hubs". The mission of these Climate Hubs is to develop and deliver science-based region-specific information and technologies to agricultural and natural resource managers that enable climate-smart decision-making and to direct land managers to USDA programs that can assist them in implementing those decisions. This mission is similar to that of Cooperative Extension and the Agricultural Experiment Stations (both of which benefit from USDA funding); therefore it is crucial that we partner with Land Grant Universities in order to achieve this mission. As USDA stands up these Climate Hubs we are working closely with USDA agencies, Land Grant Universities, other federal climate science programs, and other partners to determine how best to provide usable information and tools to farmers, ranchers and forest land managers to enable them to make climate-smart decisions.

  12. Exploring Climate Science with WV Educators: A Regional Model for Teacher Professional Development

    Science.gov (United States)

    Ruberg, L. F.; Calinger, M.

    2014-12-01

    The National Research Council Framework for K-12 Science Literacy reports that children reared in rural agricultural communities, who experience regular interactions with plants and animals, develop more sophisticated understanding of ecology and biological systems than do urban and suburban children of the same age. West Virginia (WV) is a rural state. The majority of its residents live in communities of fewer than 2,500 people. Based on the features of the population being served and their unique strengths, this presentation focuses on a regional model for teacher professional development that addresses agricultural and energy vulnerabilities and adaptations to climate change in WV. The professional development model outlined shows how to guide teachers to use a problem-based learning approach to introduce climate data and analysis techniques within a scenario context that is locally meaningful. This strategy engages student interest by focusing on regional and community concerns. Climate science standards are emphasized in the Next Generation Science Standards, but WV has not provided its teachers with appropriate instructional resources to meet those standards. The authors addressed this need by offering a series of climate science education workshops followed by online webinars offered to WV science educators free of charge with funding by the West Virginia Space Grant Consortium. The authors report on findings from this series of professional development workshops conducted in partnership with the West Virginia Science Teachers Association. The goal was to enhance grades 5-12 teaching and learning about climate change through problem-based learning. Prior to offering the climate workshops, all WV science educators were asked to complete a short questionnaire. As Figure 1 shows, over 40% of the teacher respondents reported being confident in teaching climate science content. For comparison post workshops surveys measure teacher confidence in climate science

  13. The climate in the Baltic Sea region during the last millennium simulated with a regional climate model

    Directory of Open Access Journals (Sweden)

    S. Schimanke

    2012-09-01

    Full Text Available Variability and long-term climate change in the Baltic Sea region is investigated for the pre-industrial period of the last millennium. For the first time dynamical downscaling covering the complete millennium is conducted with a regional climate model in this area. As a result of changing external forcing conditions, the model simulation shows warm conditions in the first centuries followed by a gradual cooling until ca. 1700 before temperature increases in the last centuries. This long-term evolution, with a Medieval Climate Anomaly (MCA and a Little Ice Age (LIA, is in broad agreement with proxy-based reconstructions. However, the timing of warm and cold events is not captured at all times. We show that the regional response to the global climate anomalies is to a strong degree modified by the large-scale circulation in the model. In particular, we find that a positive phase of the North Atlantic Oscillation (NAO simulated during MCA contributes to enhancing winter temperatures and precipitation in the region while a negative NAO index in the LIA reduces them. In a second step, the regional ocean model (RCO-SCOBI is used to investigate the impact of atmospheric changes onto the Baltic Sea for two 100 yr time slices representing the MCA and the LIA. Besides the warming of the Baltic Sea, the water becomes fresher at all levels during the MCA. This is induced by increased runoff and stronger westerly winds. Moreover, the oxygen concentrations in the deep layers are slightly reduced during the MCA. Additional sensitivity studies are conducted to investigate the impact of even higher temperatures and increased nutrient loads. The presented experiments suggest that changing nutrient loads may be more important determining oxygen depletion than changes in temperature or dynamic feedbacks.

  14. A comparative review of multi-risk modelling methodologies for climate change adaptation in mountain regions

    Science.gov (United States)

    Terzi, Stefano; Torresan, Silvia; Schneiderbauer, Stefan

    2017-04-01

    Keywords: Climate change, mountain regions, multi-risk assessment, climate change adaptation. Climate change has already led to a wide range of impacts on the environment, the economy and society. Adaptation actions are needed to cope with the impacts that have already occurred (e.g. storms, glaciers melting, floods, droughts) and to prepare for future scenarios of climate change. Mountain environment is particularly vulnerable to the climate changes due to its exposure to recent climate warming (e.g. water regime changes, thawing of permafrost) and due to the high degree of specialization of both natural and human systems (e.g. alpine species, valley population density, tourism-based economy). As a consequence, the mountain local governments are encouraged to undertake territorial governance policies to climate change, considering multi-risks and opportunities for the mountain economy and identifying the best portfolio of adaptation strategies. This study aims to provide a literature review of available qualitative and quantitative tools, methodological guidelines and best practices to conduct multi-risk assessments in the mountain environment within the context of climate change. We analyzed multi-risk modelling and assessment methods applied in alpine regions (e.g. event trees, Bayesian Networks, Agent Based Models) in order to identify key concepts (exposure, resilience, vulnerability, risk, adaptive capacity), climatic drivers, cause-effect relationships and socio-ecological systems to be integrated in a comprehensive framework. The main outcomes of the review, including a comparison of existing techniques based on different criteria (e.g. scale of analysis, targeted questions, level of complexity) and a snapshot of the developed multi-risk framework for climate change adaptation will be here presented and discussed.

  15. Adaptation and the Two-Degree Target - Regional Climate Consequences

    Science.gov (United States)

    Kreienkamp, F.; Hübener, H.; Spekat, A.; Wolf, H.

    2010-09-01

    In the current debate on climate change, countries are preparing for adaptation to the expected impacts of climate change. For example, Germany has decided its Adaptation Strategy in December 2008. It is the ensuing responsibility of the German Federal States to put this strategy into adaptation measures and specific action. However, to decide on such critical and expensive actions, reliable climate change information is needed. Depending on the relevant sector, this information is required on different scales in time and space. Furthermore, global policy discusses the two-degree target aiming to contain climate change to a warming of less than two degrees relative to pre-industrial values. It is currently discussed, whether or not this goal can be reached at all. However, as governmental bodies, the Environmental Agencies need to address the political aim of the two-degree target and have to respond to the implied climate change signals. At the moment no very high resolution (~10km) climate projections are available for a scenario which stays within the bounds of the two degree target. Therefore, a different approach was taken and will be presented: Global climate simulations with the ECHAM5 model have been evaluated as to the time when the global average warming hits the mark of two degrees above the pre-industrial level. Moreover, this approach is applied for different available SRES scenarios. 30-year time slices were selected centered at these instants in time. The resulting time slices were analyzed in the high resolution RCM simulations of dynamical (CCLM and REMO) as well as statistical (WETTREG) type, driven with the respective GCM scenario run. Thus, a minimum climate change is assessed as the lower bound for which adaptation measures will be definitely necessary. As it turns out, the relevant time frame assessed from the global climate simulations is 2036--2065 for scenario A1B, 2041--2070 for scenario A2 and 2051--2080 for scenario B1. In addition, the

  16. Cyclones and extreme windstorm events over Europe under climate change: Global and regional climate model diagnostics

    Science.gov (United States)

    Leckebusch, G. C.; Ulbrich, U.

    2003-04-01

    More than any changes of the climate system mean state conditions, the development of extreme events may influence social, economic and legal aspects of our society. This linkage results from the impact of extreme climate events (natural hazards) on environmental systems which again are directly linked to human activities. Prominent examples from the recent past are the record breaking rainfall amounts of August 2002 in central Europe which produced widespread floodings or the wind storm Lothar of December 1999. Within the MICE (Modelling the Impact of Climate Extremes) project framework an assessment of the impact of changes in extremes will be done. The investigation is carried out for several different impact categories as agriculture, energy use and property damage. Focus is laid on the diagnostics of GCM and RCM simulations under different climate change scenarios. In this study we concentrate on extreme windstorms and their relationship to cyclone activity in the global HADCM3 as well as in the regional HADRM3 model under two climate change scenarios (SRESA2a, B2a). In order to identify cyclones we used an objective algorithm from Murry and Simmonds which was widely tested under several different conditions. A slight increase in the occurrence of systems is identified above northern parts of central Europe for both scenarios. For more severe systems (core pressure cyclones is also investigated. For several regions (e.g. Germany, France, Spain) a shift to more deep cyclones connected with an increasing number of strong wind events is found.

  17. Regional climate change scenarios applied to viticultural zoning in Mendoza, Argentina

    Science.gov (United States)

    Cabré, María Fernanda; Quénol, Hervé; Nuñez, Mario

    2016-09-01

    Due to the importance of the winemaking sector in Mendoza, Argentina, the assessment of future scenarios for viticulture is of foremost relevance. In this context, it is important to understand how temperature increase and precipitation changes will impact on grapes, because of changes in grapevine phenology and suitability wine-growing regions must be understood as an indicator of climate change. The general objective is to classify the suitable areas of viticulture in Argentina for the current and future climate using the MM5 regional climate change simulations. The spatial distribution of annual mean temperature, annual rainfall, and some bioclimatic indices has been analyzed for the present (1970-1989) and future (2080-2099) climate under SRES A2 emission scenario. In general, according to projected average growing season temperature and Winkler index classification, the regional model estimates (i) a reduction of cool areas, (ii) a westward and southward displacement of intermediate and warm suitability areas, and (iii) the arise of new suitability regions (hot and very hot areas) over Argentina. In addition, an increase of annual accumulated precipitation is projected over the center-west of Argentina. Similar pattern of change is modeled for growing season, but with lower intensity. Furthermore, the evaluation of projected seasonal precipitation shows a little precipitation increase over Cuyo and center of Argentina in summer and a little precipitation decrease over Cuyo and northern Patagonia in winter. Results show that Argentina has a great potential for expansion into new suitable vineyard areas by the end of twenty-first century, particularly due to projected displacement to higher latitudes for most present suitability winegrowing regions. Even though main conclusions are based on one global-regional model downscaling, this approach provides valuable information for implementing proper and diverse adaptation measures in the Argentinean viticultural

  18. Solar radiation and climatic data for quasi-homogeneous climatic regions of the United States. Technical memo

    Energy Technology Data Exchange (ETDEWEB)

    Hoecker, W.H.; Cotton, G.F.; Hass, W.A.

    1979-04-01

    Up-to-date solar radiation and unique climatic statistics are presented that apply to regions of the United States which are quasi-homogeneous in solar radiation, heating demand and topography. The contiguous USA was divided into 78 and Alaska into 11 such regions. The Hawaiian and Pacific Mandate Islands, Guantanamo Bay (Cuba) and Puerto Rico are also represented but no subdivisions were made. A total of 97 regions or localities are represented by these solar radiation-climatic statistics. The solar radiation and climatic characteristics of each region are represented by statistics from one National Weather Service station with a record of about 25 years of meteorological and observed, or derived, solar radiation data. Station latitude, longitude and elevation are also provided. Rehabilitated, observed solar radiation data are available for ten of the stations. The solar radiation at the remainder of the stations was derived from regression models. Whole-record daily average values (monthly and annual) for 11 of 12 statistics are tabulated for each station. Wind speed classes, the twelfth statistic, are stratified only by wind speed intervals, for the entire period of record.

  19. Providing Decision-Relevant Information for a State Climate Change Action Plan

    Science.gov (United States)

    Wake, C.; Frades, M.; Hurtt, G. C.; Magnusson, M.; Gittell, R.; Skoglund, C.; Morin, J.

    2008-12-01

    Carbon Solutions New England (CSNE), a public-private partnership formed to promote collective action to achieve a low carbon society, has been working with the Governor appointed New Hampshire Climate Change Policy Task Force (NHCCTF) to support the development of a state Climate Change Action Plan. CSNE's role has been to quantify the potential carbon emissions reduction, implementation costs, and cost savings at three distinct time periods (2012, 2025, 2050) for a range of strategies identified by the Task Force. These strategies were developed for several sectors (transportation and land use, electricity generation and use, building energy use, and agriculture, forestry, and waste).New Hampshire's existing and projected economic and population growth are well above the regional average, creating additional challenges for the state to meet regional emission reduction targets. However, by pursuing an ambitious suite of renewable energy and energy efficiency strategies, New Hampshire may be able to continue growing while reducing emissions at a rate close to 3% per year up to 2025. This suite includes efficiency improvements in new and existing buildings, a renewable portfolio standard for electricity generation, avoiding forested land conversion, fuel economy gains in new vehicles, and a reduction in vehicle miles traveled. Most (over 80%) of these emission reduction strategies are projected to provide net economic savings in 2025.A collaborative and iterative process was developed among the key partners in the project. The foundation for the project's success included: a diverse analysis team with leadership that was committed to the project, an open source analysis approach, weekly meetings and frequent communication among the partners, interim reporting of analysis, and an established and trusting relationship among the partners, in part due to collaboration on previous projects.To develop decision-relevant information for the Task Force, CSNE addressed

  20. Continuously on-­going regional climate hindcast simulations for impact applications

    Science.gov (United States)

    Anders, Ivonne; Piringer, Martin; Kaufmann, Hildegard; Knauder, Werner; Resch, Gernot; Andre, Konrad

    2017-04-01

    Observational data for e.g. temperature, precipitation, radiation, or wind are often used as meteorological forcing for different impact models, like e.g. crop models, urban models, economic models and energy system models. To assess a climate signal, the time period covered by the observation is often too short, they have gaps in between, and are inhomogeneous over time, due to changes in the measurements itself or in the near surrounding. Thus output from global and regional climate models can close the gap and provide homogeneous and physically consistent time series of meteorological parameters. CORDEX evaluation runs performed for the IPCC-AR5 provide a good base for the regional scale. However, with respect to climate services, continuously on-going hindcast simulations are required for regularly updated applications. The Climate Research group at the national Austrian weather service, ZAMG, is focusing on high mountain regions and, especially on the Alps. The hindcast-simulation performed with the regional climate model COSMO-CLM is forced by ERAinterim and optimized for the Alpine Region. The simulation available for the period of 1979-2015 in a spatial resolution of about 10km is prolonged ongoing and fullfils the customer's needs with respect of output variables, levels, intervals and statistical measures. One of the main tasks is to capture strong precipitation events which often occur during summer when low pressure systems develop over the Golf of Genoa, moving to the Northeast. This leads to floods and landslide events in Austria, Czech Republic and Germany. Such events are not sufficiently represented in the CORDEX-evaluation runs. ZAMG use high quality gridded precipitation and temperature data for the Alpine Region (1-6km) to evaluate the model performance. Data is provided e.g. to hydrological modellers (high water, low water), but also to assess icing capability of infrastructure or the calculation the separation distances between livestock

  1. How Does a Regional Climate Model Modify the Projected Climate Change Signal of the Driving GCM: A Study over Different CORDEX Regions Using REMO

    Directory of Open Access Journals (Sweden)

    Claas Teichmann

    2013-06-01

    Full Text Available Global and regional climate model simulations are frequently used for regional climate change assessments and in climate impact modeling studies. To reflect the inherent and methodological uncertainties in climate modeling, the assessment of regional climate change requires ensemble simulations from different global and regional climate model combinations. To interpret the spread of simulated results, it is useful to understand how the climate change signal is modified in the GCM-RCM modelmodelgeneral circulation model-regional climate model (GCM-RCM chain. This kind of information can also be useful for impact modelers; for the process of experiment design and when interpreting model results. In this study, we investigate how the simulated historical and future climate of the Max-Planck-Institute earth system model (MPI-ESM is modified by dynamic downscaling with the regional model REMO in different world regions. The historical climate simulations for 1950–2005 are driven by observed anthropogenic forcing. The climate projections are driven by projected anthropogenic forcing according to different Representative Concentration Pathways (RCPs. The global simulations are downscaled with REMO over the Coordinated Regional Climate Downscaling Experiment (CORDEX domains Africa, Europe, South America and West Asia from 2006–2100. This unique set of simulations allows for climate type specific analysis across multiple world regions and for multi-scenarios. We used a classification of climate types by Köppen-Trewartha to define evaluation regions with certain climate conditions. A systematic comparison of near-surface temperature and precipitation simulated by the regional and the global model is done. In general, the historical time period is well represented by the GCM and the RCM. Some different biases occur in the RCM compared to the GCM as in the Amazon Basin, northern Africa and the West Asian domain. Both models project similar warming

  2. The WMO RA VI Regional Climate Centre Network - a support to users in Europe

    Science.gov (United States)

    Rösner, S.

    2012-04-01

    Climate, like weather, has no limits. Therefore the World Meteorological Organization (WMO), a specialized United Nations organization, has established a three-level infrastructure to better serve its member countries. This structure comprises Global Producing Centres for Long-range Forecasts (GPCs), Regional Climate Centres (RCCs) and National Meteorological or Hydrometeorological Services (NMHSs), in most cases representing their countries in WMO governance bodies. The elements of this infrastructure are also part of and contribute to the Global Framework for Climate Services (GFCS) agreed to be established by World Climate Conference 3 (WCC-3) and last year's Sixteenth World Meteorological Congress (WMO Cg-XVI). RCCs are the core element of this infrastructure at the regional level and are being establish in all WMO Regional Associations (RAs), i.e. Africa (RA I); Asia (II); South America (III); North America, Central America and the Caribbean (IV); South-West Pacific (V); Europe (VI). Addressing inter-regional areas of common interest like the Mediterranean or the Polar Regions may require inter-regional RCCs. For each region the RCCs follow a user driven approach with regard to governance and structure as well as products generated for the users in the respective region. However, there are common guidelines all RCCs do have to follow. This is to make sure that services are provided based on best scientific standards, are routinely and reliably generated and made available in an operational mode. These guidelines are being developed within WMO and make use of decade-long experience gained in the business of operational weather forecast. Based on the requirements of the 50 member countries of WMO RA VI it was agreed to establish the WMO RCC as a network of centres of excellence that create regional products including long-range forecasts that support regional and national climate activities, and thereby strengthen the capacity of WMO Members in the region to

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

    Science.gov (United States)

    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. Copyright © 2016. Published by Elsevier B.V.

  4. Retreating Canadian glaciers and their implications for regional climate and hydrology in future climate

    Science.gov (United States)

    Ruman, Caio Jorge; Sushama, Laxmi; Winger, Katja

    2017-04-01

    Glaciers are frozen fresh water reservoirs that respond to changes in temperature and snow accumulation at the surface. Outside Greenland and Antarctica, Canada has the greatest concentration of glacier coverage. In western Canada, concern is growing about the impact that changes in glaciers, particularly reducing glacier melt in summer, may have on water resources. Canada's Arctic Glaciers, with an area of approximately 146,000 km2, are among the largest of the Arctic glaciers, and their possible contribution to sea level rise is not negligible. Regional Climate Models (RCM) are an important tool to assess the projected changes to climate, particularly due to its high resolution compared with GCMs. Recently, a dynamic glacier scheme, based on volume-area relationship, has been introduced in CRCM5. Both offline (i.e., glacier scheme and land surface scheme) and online (CRCM5 with the new glacier scheme) simulations were performed for the 2000-2100 period over a domain covering the glaciers of western and Arctic Canada. The offline simulations were driven by outputs from a CRCM5 transient climate change simulation, driven by CanESM2 at the lateral boundaries, for RCPs 4.5 and 8.5. This driving data shows an increase in winter precipitation for the Arctic region and a decrease over the west Canadian glaciers. Despite the increase in winter precipitation for the Arctic glacier regions, the offline simulations suggest significant decreases in glacier fraction for the region, suggesting that the gain of mass from the increase in precipitation over the Arctic Glaciers won't offset the glacier mass loss due to the temperature increase. Results also suggest significant decreases in glacier fraction and volume for the west Canadian glaciers. The results of the offline simulation will be confirmed with the coupled simulation, and the impact of retreating glaciers on the regional climate and hydrology will be presented based on the coupled simulation.

  5. CLIMATE CHANGES AND ADAPTATION POLICIES IN THE BALTIC AND THE ADRIATIC REGIONS

    Directory of Open Access Journals (Sweden)

    Branko Bosnjakovic

    2015-06-01

    Full Text Available This paper provides an overview of differences and similarities of the current climate changes in the Baltic and Adriatic coastal regions and appropriate adaptation policies on national, regional and European level. All reparian countries are at different stages of developing and implementing national adaptation strategies. The proposal for an overall BSR wide Climate Change Adaptation Strategy and Action Plan has been launched with the aim to recommend actions for climate change adaptation in the Baltic region. No similar agreement has been concluded yet on the protection of the semi-closed Adriatic Sea, the surface of which is about 1/2 of that of the Baltic Sea, and whose coastal region is home to about 1/4 of that of the Baltic Sea. The differences in the socio-economic characteristics and indicators may be partly responsible for the differring attitudes, actions and reporting concerning the adaptation to climate change, both between individual countries, as well as between the two regions as a whole

  6. Regional Water System Vulnerabilities and Strengths for Unavoidable Climate Adaptation

    Science.gov (United States)

    Gleick, P. H.; Palaniappan, M.; Christian-Smith, J.; Cooley, H.

    2011-12-01

    A wide range of options are available to help water systems prepare and adapt for unavoidable climate impacts, but these options vary depending on region, climatic conditions, economic status, and technical infrastructure in place. Drawing on case studies from the United States, India, and elsewhere, and from both urban and agricultural water systems, risks to water supply and quality are evaluated and summarized and categories of responses to help improve the effectiveness of adaptation policies are reviewed. Among the issues to be discussed are characteristics unique to developing country cities, such as the predominance of informal actors in the water sector. The formal, or government sector, which often exclusively manages water access and distribution in developed country cities, is only one among many players in the water sector in developing country cities. Informal access to water includes direct access by individuals through private groundwater systems, private water markets using vendors or sales of bottled water, and rainwater harvesting systems on individual homes. In this environment, with already existing pressures on water availability and use, the impacts of climate change on water will be strongly felt. This complicates planning for water supply and demand and risks increasing already prevalent water insecurity, especially for urban poor. In wealthier countries, any planning for water-related climate impacts tends to take the form of "business as usual" responses, such as efforts to expand supply with new infrastructure, manage demand through conservation programs, or simply put off addressing the problem to the next generation of managers and users. These approaches can be effective, but also risk missing unusual, non-linear, or threshold impacts. Examples of more informed and innovative efforts to substantively address climate change risks will be presented.

  7. Role of resolution in regional climate change projections over China

    Science.gov (United States)

    Shi, Ying; Wang, Guiling; Gao, Xuejie

    2017-11-01

    This paper investigates the sensitivity of projected future climate changes over China to the horizontal resolution of a regional climate model RegCM4.4 (RegCM), using RCP8.5 as an example. Model validation shows that RegCM performs better in reproducing the spatial distribution and magnitude of present-day temperature, precipitation and climate extremes than the driving global climate model HadGEM2-ES (HadGEM, at 1.875° × 1.25° degree resolution), but little difference is found between the simulations at 50 and 25 km resolutions. Comparison with observational data at different resolutions confirmed the added value of the RCM and finer model resolutions in better capturing the probability distribution of precipitation. However, HadGEM and RegCM at both resolutions project a similar pattern of significant future warming during both winter and summer, and a similar pattern of winter precipitation changes including dominant increase in most areas of northern China and little change or decrease in the southern part. Projected precipitation changes in summer diverge among the three models, especially over eastern China, with a general increase in HadGEM, little change in RegCM at 50 km, and a mix of increase and decrease in RegCM at 25 km resolution. Changes of temperature-related extremes (annual total number of daily maximum temperature > 25 °C, the maximum value of daily maximum temperature, the minimum value of daily minimum temperature in the three simulations especially in the two RegCM simulations are very similar to each other; so are the precipitation-related extremes (maximum consecutive dry days, maximum consecutive 5-day precipitation and extremely wet days' total amount). Overall, results from this study indicate a very low sensitivity of projected changes in this region to model resolution. While fine resolution is critical for capturing the spatial variability of the control climate, it may not be as important for capturing the climate response to

  8. Regional climate model simulations indicate limited climatic impacts by operational and planned European wind farms.

    Science.gov (United States)

    Vautard, Robert; Thais, Françoise; Tobin, Isabelle; Bréon, François-Marie; Devezeaux de Lavergne, Jean-Guy; Colette, Augustin; Yiou, Pascal; Ruti, Paolo Michele

    2014-01-01

    The rapid development of wind energy has raised concerns about environmental impacts. Temperature changes are found in the vicinity of wind farms and previous simulations have suggested that large-scale wind farms could alter regional climate. However, assessments of the effects of realistic wind power development scenarios at the scale of a continent are missing. Here we simulate the impacts of current and near-future wind energy production according to European Union energy and climate policies. We use a regional climate model describing the interactions between turbines and the atmosphere, and find limited impacts. A statistically significant signal is only found in winter, with changes within ±0.3 °C and within 0-5% for precipitation. It results from the combination of local wind farm effects and changes due to a weak, but robust, anticyclonic-induced circulation over Europe. However, the impacts remain much weaker than the natural climate interannual variability and changes expected from greenhouse gas emissions.

  9. Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models

    KAUST Repository

    Goddard, Scott D.

    2015-05-01

    Electrical utility system operators must plan resources so that electricity supply matches demand throughout the day. As the proportion of wind-generated electricity in the US grows, changes in daily wind patterns have the potential either to disrupt the utility or increase the value of wind to the system over time. Wind power projects are designed to last many years, so at this timescale, climate change may become an influential factor on wind patterns. We examine the potential effects of climate change on the average diurnal power production cycles at 12 locations in North America by analyzing averaged and individual output from nine high-resolution regional climate models comprising historical (1971–1999) and future (2041–2069) periods. A semi-parametric mixed model is fit using cubic B-splines, and model diagnostics are checked. Then, a likelihood ratio test is applied to test for differences between the time periods in the seasonal daily averaged cycles, and agreement among the individual regional climate models is assessed. We investigate the significant changes by combining boxplots with a differencing approach and identify broad categories of changes in the amplitude, shape, and position of the average daily cycles. We then discuss the potential impact of these changes on wind power production.

  10. Downscaling of climate change scenarios and key climate indices in the Swiss Alpine region

    Science.gov (United States)

    Zubler, Elias; Croci-Maspoli, Mischa; Fischer, Andreas; Frei, Christoph; Scherrer, Simon; Appenzeller, Christof

    2013-04-01

    Probabilistic climate change scenarios for Switzerland have been developed in the framework of the national Swiss CH2011 initiative. However, no information could be provided for the mountainous regions of the Alps. Here, we present an extension of the CH2011 scenarios for this higher altitudes and complex topography. Additionally, a methodology is introduced to provide such scenarios on a high-resolution grid and on a daily basis. Results are shown for some key climate indices, such as the number of summer days and tropical nights, growing season length, number of frost days, heating and cooling degree days, and the number of days with fresh snow. Particular focus is given to changes in the vertical distribution for the future periods 2020-2049, 2045-2074 and 2070-2099 relative to the reference period 1980-2009 for the A1B, A2 and RCP3PD scenario. The number of days with fresh snow is approximated using a combination of temperature and precipitation as proxies. Some findings for the latest scenario period are: (1) a doubling of the number of summer days by the end of the century under the business-as-usual scenario A2, (2) tropical nights appear above 1500 m asl, (3) the number of frost days may be reduced by more than 3 months at altitudes higher than 2500 m, (4) an overall reduction of heating degree days of about 30% by the end of the century, but on the other hand an increase in cooling degree days in warm seasons, and (5) the number of days with fresh snow tends to go towards zero at low altitudes. In winter, there is little change in snowfall above 2000 m asl (roughly -3 days) in all scenarios. The largest impact on snowfall is found along the Northern Alpine flank and the Jura (-10 days or roughly -50% in A1B for the winter season). It is also highlighted that the future projections for all indices strongly depend on the chosen scenario and on model uncertainty.

  11. A Data Driven Framework for Integrating Regional Climate Models

    Science.gov (United States)

    Lansing, C.; Kleese van Dam, K.; Liu, Y.; Elsethagen, T.; Guillen, Z.; Stephan, E.; Critchlow, T.; Gorton, I.

    2012-12-01

    There are increasing needs for research addressing complex climate sensitive issues of concern to decision-makers and policy planners at a regional level. Decisions about allocating scarce water across competing municipal, agricultural, and ecosystem demands is just one of the challenges ahead, along with decisions regarding competing land use priorities such as biofuels, food, and species habitat. Being able to predict the extent of future climate change in the context of introducing alternative energy production strategies requires a new generation of modeling capabilities. We will also need more complete representations of human systems at regional scales, incorporating the influences of population centers, land use, agriculture and existing and planned electrical demand and generation infrastructure. At PNNL we are working towards creating a first-of-a-kind capability known as the Integrated Regional Earth System Model (iRESM). The fundamental goal of the iRESM initiative is the critical analyses of the tradeoffs and consequences of decision and policy making for integrated human and environmental systems. This necessarily combines different scientific processes, bridging different temporal and geographic scales and resolving the semantic differences between them. To achieve this goal, iRESM is developing a modeling framework and supporting infrastructure that enable the scientific team to evaluate different scenarios in light of specific stakeholder questions such as "How do regional changes in mean climate states and climate extremes affect water storage and energy consumption and how do such decisions influence possible mitigation and carbon management schemes?" The resulting capability will give analysts a toolset to gain insights into how regional economies can respond to climate change mitigation policies and accelerated deployment of alternative energy technologies. The iRESM framework consists of a collection of coupled models working with high

  12. First Evaluation of the CCAM Aerosol Simulation over Africa: Implications for Regional Climate Modeling

    Science.gov (United States)

    Horowitz, H.; Garland, R. M.; Thatcher, M. J.; Naidoo, M.; van der Merwe, J.; Landman, W.; Engelbrecht, F.

    2015-12-01

    An accurate representation of African aerosols in climate models is needed to understand the regional and global radiative forcing and climate impacts of aerosols, at present and under future climate change. However, aerosol simulations in regional climate models for Africa have not been well-tested. Africa contains the largest single source of biomass-burning smoke aerosols and dust globally. Although aerosols are short-lived relative to greenhouse gases, black carbon in particular is estimated to be second only to carbon dioxide in contributing to warming on a global scale. Moreover, Saharan dust is exported great distances over the Atlantic Ocean, affecting nutrient transport to regions like the Amazon rainforest, which can further impact climate. Biomass burning aerosols are also exported from Africa, westward from Angola over the Atlantic Ocean and off the southeastern coast of South Africa to the Indian Ocean. Here, we perform the first extensive quantitative evaluation of the Conformal-Cubic Atmospheric Model (CCAM) aerosol simulation against monitored data, focusing on aerosol optical depth (AOD) observations over Africa. We analyze historical regional simulations for 1999 - 2012 from CCAM consistent with the experimental design of CORDEX at 50 km global horizontal resolution, through the dynamical downscaling of ERA-Interim data reanalysis data, with the CMIP5 emissions inventory (RCP8.5 scenario). CCAM has a prognostic aerosol scheme for organic carbon, black carbon, sulfate, and dust, and non-prognostic sea salt. The CCAM AOD at 550nm was compared to AOD (observed at 440nm, adjusted to 550nm with the Ångström exponent) from long-term AERONET stations across Africa. Sites strongly impacted by dust and biomass burning and with long continuous records were prioritized. In general, the model captures the monthly trends of the AERONET data. This presentation provides a basis for understanding how well aerosol particles are represented over Africa in

  13. EMS providers' perceptions of safety climate and adherence to safe work practices.

    Science.gov (United States)

    Eliseo, Laura J; Murray, Kate A; White, Laura F; Dyer, Sophia; Mitchell, Patricia A; Fernandez, William G

    2012-01-01

    Occupational injuries are an important source of morbidity for emergency medical services (EMS) providers. Previous work has shown that employee perceptions of an organization's commitment to safety (i.e., safety climate) correlate with adherence to safe practices. To assess the association between perceived safety climate and compliance with safety procedures in an urban EMS system with >100,000 calls/year. EMS providers were issued a self-administered survey that included questions on demographics, years of experience, perceived safety climate, and adherence to safety procedures. Safety climate was assessed with a 20-item validated instrument. Adherence to safety procedures was assessed with a nine-item list of safety behaviors. Strict adherence to safety procedures was defined as endorsing "agree" or "strongly agree" on 80% of items. The effect of safety climate on compliance with safe practices was estimated using multiple logistic regression. One hundred ninety-six of 221 providers (89%) completed surveys; 74% were male; the median age was 36-40 years; and the median amount of experience was 8 years. One hundred twenty-seven of 196 respondents (65%) reported strict adherence to safe work practice. Factor analysis confirmed the original six-factor grouping of questions; frequent safety-related feedback/training was significantly associated with safe practices (odds ratio [OR] = 2.14, 95% confidence interval [CI] = 1.01-4.51). EMS workers perceiving a high degree of perceived safety climate was associated with twofold greater odds of self-reported level of strict adherence to safe work practices. Frequent safety-related feedback/training was the one dimension of safety climate that had the strongest association with adherence to safe workplace behaviors.

  14. NOAA's Regional Climate Services Program: Building Relationships with Partners and Customers to Deliver Trusted Climate Information at Usable Scales

    Science.gov (United States)

    Mecray, E. L.; Dissen, J.

    2016-12-01

    Federal agencies across multiple sectors from transportation to health, emergency management and agriculture, are now requiring their key stakeholders to identify and plan for climate-related impacts. Responding to the drumbeat for climate services at the regional and local scale, the National Oceanic and Atmospheric Administration (NOAA) formed its Regional Climate Services (RCS) program to include Regional Climate Services Directors (RCSD), Regional Climate Centers, and state climatologists in a partnership. Since 2010, the RCS program has engaged customers across the country and amongst many of the nation's key economic sectors to compile information requirements, deliver climate-related products and services, and build partnerships among federal agencies and their regional climate entities. The talk will include a sketch from the Eastern Region that may shed light on the interaction of the multiple entities working at the regional scale. Additionally, we will show examples of our interagency work with the Department of Interior, the Department of Agriculture, and others in NOAA to deliver usable and trusted climate information and resources. These include webinars, print material, and face-to-face customer engagements to gather and respond to information requirements. NOAA/National Centers for Environmental Information's RCSDs work on-the-ground to learn from customers about their information needs and their use of existing tools and resources. As regional leads, the RCSDs work within NOAA and with our regional partners to ensure the customer receives a broad picture of the tools and information from across the nation.

  15. Climate variability and wine quality over Portuguese regions

    Science.gov (United States)

    Gouveia, Célia M.; Gani, Érico A.; Liberato, Margarida L. R.

    2015-04-01

    The relationship between the characteristics of wine and its geographic origin is frequently used to explain the hierarchy of high-quality wines. Port wine is produced from grapes grown in selected areas of the Douro valley, in Portugal, the so-called Região Demarcada do Douro, the first wine-producing region of the world (dating from 1758). The Douro region presents distinctive climatic, topographic and soil characteristics. Moreover Portugal possesses a large array of native varietals, producing an abundant diversity of different wines. The most protected wines, produced only with some authorised grape varietals in the demarcated regions, are labelled D.O.C. (Denominação de Origem Controlada, similar to the French Appellation d'Origine Contrôlée (AOC)) which secures a superior wine quality. Recent warming trends in Portugal are associated with the significant increase in the frequency and duration of heat waves, and the increase in the frequency of hot days and tropical nights, especially in spring and summer, together with a significant decrease in the frequency of cold waves and frost days (Santo et al., 2014). Moreover a predominantly negative tendency in precipitation indices was also found (de Lima et al., 2014). These trends and associated changes in temperature and precipitation regimes may exert strong influences on agriculture systems. In this work we have performed an analysis of the distinct behaviour of several meteorological fields in vintage versus non-vintage years for Port Wine on one hand and Alentejo and Dão/Bairrada DOC regions on the other hand, during the period spanning from 1964-1995. The relative importance of maximum and minimum temperature, precipitation and frost days is assessed for each individual month of the vegetative cycle and their importance to the wine quality is evaluated. Furthermore, composites of 500 hPa geopotential height and sea level pressure fields over the Euro Atlantic region are also compared for years

  16. Extreme winds over Europe in the ENSEMBLES regional climate models

    Directory of Open Access Journals (Sweden)

    S. D. Outten

    2013-05-01

    Full Text Available Extreme winds cause vast amounts of damage every year and represent a major concern for numerous industries including construction, afforestation, wind energy and many others. Under a changing climate, the intensity and frequency of extreme events are expected to change, and accurate projections of these changes will be invaluable to decision makers and society as a whole. This work examines four regional climate model downscalings over Europe following the SRES A1B scenario from the "ENSEMBLE-based Predictions of Climate Changes and their Impacts" project (ENSEMBLES. It investigates the projected changes in the 50 yr return wind speeds and the associated uncertainties. This is accomplished by employing the peaks-over-threshold method with the use of the generalised Pareto distribution. The models show that, for much of Europe, the 50 yr return wind is projected to change by less than 2 m s−1, while the uncertainties associated with the statistical estimates are larger than this. In keeping with previous works in this field, the largest source of uncertainty is found to be the inter-model spread, with some locations showing differences in the 50 yr return wind of over 20 m s−1 between two different downscalings.

  17. Tackling regional climate change by leaf albedo bio-geoengineering.

    Science.gov (United States)

    Ridgwell, Andy; Singarayer, Joy S; Hetherington, Alistair M; Valdes, Paul J

    2009-01-27

    The likelihood that continuing greenhouse-gas emissions will lead to an unmanageable degree of climate change has stimulated the search for planetary-scale technological solutions for reducing global warming ("geoengineering"), typically characterized by the necessity for costly new infrastructures and industries. We suggest that the existing global infrastructure associated with arable agriculture can help, given that crop plants exert an important influence over the climatic energy budget because of differences in their albedo (solar reflectivity) compared to soils and to natural vegetation. Specifically, we propose a "bio-geoengineering" approach to mitigate surface warming, in which crop varieties having specific leaf glossiness and/or canopy morphological traits are specifically chosen to maximize solar reflectivity. We quantify this by modifying the canopy albedo of vegetation in prescribed cropland areas in a global-climate model, and thereby estimate the near-term potential for bio-geoengineering to be a summertime cooling of more than 1 degrees C throughout much of central North America and midlatitude Eurasia, equivalent to seasonally offsetting approximately one-fifth of regional warming due to doubling of atmospheric CO(2). Ultimately, genetic modification of plant leaf waxes or canopy structure could achieve greater temperature reductions, although better characterization of existing intraspecies variability is needed first.

  18. Effects of climate change on regional energy systems focussing on space heating and cooling: A case study of Austria

    Directory of Open Access Journals (Sweden)

    Hausl Stephan

    2014-01-01

    Full Text Available Climate change affects regions differently and therefore also climate change effects on energy systems need to be analyzed region specific. The objective of the study presented is to show and analyze these effects on regional energy systems following a high spatial resolution approach. Three regional climate scenarios are downscaled to a 1 km resolution and error corrected for three different testing regions in Austria. These climate data are used to analyze effects of climate change on heating and cooling demand until the year 2050. Potentials of renewable energies such as solar thermal, photovoltaic, ambient heat and biomass are also examined. In the last process step the outcomes of the previous calculations are fed into two energy system models, where energy system optimizations are executed, which provide information concerning optimal setups and operations of future energy systems. Due to changing climate strong changes for the energy demand structure are noticed; lower heat demand in winter (between -7 and -15% until 2050 and - strongly differing between regions - higher cooling demand in summer (up to +355%. Optimization results show that the composition of energy supply carriers is barely affected by climate change, since other developments such as refurbishment actions, price developments and regional biomass availabilities are more influencing within this context.

  19. Description and evaluation of the Earth System Regional Climate Model (RegCM-ES)

    Science.gov (United States)

    Farneti, Riccardo; Sitz, Lina; Di Sante, Fabio; Fuentes-Franco, Ramon; Coppola, Erika; Mariotti, Laura; Reale, Marco; Sannino, Gianmaria; Barreiro, Marcelo; Nogherotto, Rita; Giuliani, Graziano; Graffino, Giorgio; Solidoro, Cosimo; Giorgi, Filippo

    2017-04-01

    The increasing availability of satellite remote sensing data, of high temporal frequency and spatial resolution, has provided a new and enhanced view of the global ocean and atmosphere, revealing strong air-sea coupling processes throughout the ocean basins. In order to obtain an accurate representation and better understanding of the climate system, its variability and change, the inclusion of all mechanisms of interaction among the different sub-components, at high temporal and spatial resolution, becomes ever more desirable. Recently, global coupled models have been able to progressively refine their horizontal resolution to attempt to resolve smaller-scale processes. However, regional coupled ocean-atmosphere models can achieve even finer resolutions and provide additional information on the mechanisms of air-sea interactions and feedbacks. Here we describe a new, state-of-the-art, Earth System Regional Climate Model (RegCM-ES). RegCM-ES presently includes the coupling between atmosphere, ocean, land surface and sea-ice components, as well as an hydrological and ocean biogeochemistry model. The regional coupled model has been implemented and tested over some of the COordinated Regional climate Downscaling Experiment (CORDEX) domains. RegCM-ES has shown improvements in the representation of precipitation and SST fields over the tested domains, as well as realistic representations of coupled air-sea processes and interactions. The RegCM-ES model, which can be easily implemented over any regional domain of interest, is open source making it suitable for usage by the large scientific community.

  20. Using Regional Climate Projections to Guide Grassland Community Restoration in the Face of Climate Change

    Science.gov (United States)

    Kane, Kristin; Debinski, Diane M.; Anderson, Chris; Scasta, John D.; Engle, David M.; Miller, James R.

    2017-01-01

    Grassland loss has been extensive worldwide, endangering the associated biodiversity and human well-being that are both dependent on these ecosystems. Ecologists have developed approaches to restore grassland communities and many have been successful, particularly where soils are rich, precipitation is abundant, and seeds of native plant species can be obtained. However, climate change adds a new filter needed in planning grassland restoration efforts. Potential responses of species to future climate conditions must also be considered in planning for long-term resilience. We demonstrate this methodology using a site-specific model and a maximum entropy approach to predict changes in habitat suitability for 33 grassland plant species in the tallgrass prairie region of the U.S. using the Intergovernmental Panel on Climate Change scenarios A1B and A2. The A1B scenario predicts an increase in temperature from 1.4 to 6.4°C, whereas the A2 scenario predicts temperature increases from 2 to 5.4°C and much greater CO2 emissions than the A1B scenario. Both scenarios predict these changes to occur by the year 2100. Model projections for 2040 under the A1B scenario predict that all but three modeled species will lose ~90% of their suitable habitat. Then by 2080, all species except for one will lose ~90% of their suitable habitat. Models run using the A2 scenario predict declines in habitat for just four species by 2040, but models predict that by 2080, habitat suitability will decline for all species. The A2 scenario appears based on our results to be the less severe climate change scenario for our species. Our results demonstrate that many common species, including grasses, forbs, and shrubs, are sensitive to climate change. Thus, grassland restoration alternatives should be evaluated based upon the long-term viability in the context of climate change projections and risk of plant species loss. PMID:28536591

  1. Using Regional Climate Projections to Guide Grassland Community Restoration in the Face of Climate Change

    Directory of Open Access Journals (Sweden)

    Kristin Kane

    2017-05-01

    Full Text Available Grassland loss has been extensive worldwide, endangering the associated biodiversity and human well-being that are both dependent on these ecosystems. Ecologists have developed approaches to restore grassland communities and many have been successful, particularly where soils are rich, precipitation is abundant, and seeds of native plant species can be obtained. However, climate change adds a new filter needed in planning grassland restoration efforts. Potential responses of species to future climate conditions must also be considered in planning for long-term resilience. We demonstrate this methodology using a site-specific model and a maximum entropy approach to predict changes in habitat suitability for 33 grassland plant species in the tallgrass prairie region of the U.S. using the Intergovernmental Panel on Climate Change scenarios A1B and A2. The A1B scenario predicts an increase in temperature from 1.4 to 6.4°C, whereas the A2 scenario predicts temperature increases from 2 to 5.4°C and much greater CO2 emissions than the A1B scenario. Both scenarios predict these changes to occur by the year 2100. Model projections for 2040 under the A1B scenario predict that all but three modeled species will lose ~90% of their suitable habitat. Then by 2080, all species except for one will lose ~90% of their suitable habitat. Models run using the A2 scenario predict declines in habitat for just four species by 2040, but models predict that by 2080, habitat suitability will decline for all species. The A2 scenario appears based on our results to be the less severe climate change scenario for our species. Our results demonstrate that many common species, including grasses, forbs, and shrubs, are sensitive to climate change. Thus, grassland restoration alternatives should be evaluated based upon the long-term viability in the context of climate change projections and risk of plant species loss.

  2. ClimateWizard: A Framework and Easy-to-Use Web-Mapping Tool for Global, Regional, and Local Climate-Change Analysis

    Science.gov (United States)

    Girvetz, E. H.; Zganjar, C.; Raber, G. T.; Hoekstra, J.; Lawler, J. J.; Kareiva, P.

    2008-12-01

    Now that there is overwhelming evidence of global climate change, scientists, managers and planners (i.e. practitioners) need to assess the potential impacts of climate change on particular ecological systems, within specific geographic areas, and at spatial scales they care about, in order to make better land management, planning, and policy decisions. Unfortunately, this application of climate science to real world decisions and planning has proceeded too slowly because we lack tools for translating cutting-edge climate science and climate-model outputs into something managers and planners can work with at local or regional scales (CCSP 2008). To help increase the accessibility of climate information, we have developed a freely-available, easy-to-use, web-based climate-change analysis toolbox, called ClimateWizard, for assessing how climate has and is projected to change at specific geographic locations throughout the world. The ClimateWizard uses geographic information systems (GIS), web-services (SOAP/XML), statistical analysis platforms (e.g. R- project), and web-based mapping services (e.g. Google Earth/Maps, KML/GML) to provide a variety of different analyses (e.g. trends and departures) and outputs (e.g. maps, graphs, tables, GIS layers). Because ClimateWizard analyzes large climate datasets stored remotely on powerful computers, users of the tool do not need to have fast computers or expensive software, but simply need access to the internet. The analysis results are then provided to users in a Google Maps webpage tailored to the specific climate-change question being asked. The ClimateWizard is not a static product, but rather a framework to be built upon and modified to suit the purposes of specific scientific, management, and policy questions. For example, it can be expanded to include bioclimatic variables (e.g. evapotranspiration) and marine data (e.g. sea surface temperature), as well as improved future climate projections, and climate-change impact

  3. An intercomparison of regional climate simulations for Europe

    DEFF Research Database (Denmark)

    Déqué, M.; Rowell, D. P.; Lüthi, D.

    2007-01-01

    Ten regional climate models (RCM) have been integrated with the standard forcings of the PRUDENCE experiment: IPCC-SRES A2 radiative forcing and Hadley Centre boundary conditions. The response over Europe, calculated as the difference between the 2071-2100 and the 1961-1990 means can be viewed...... as an average over a finite number of years (30). Model uncertainty is due to the fact that the models use different techniques to discretize the equations and to represent sub-grid effects. Radiative uncertainty is due to the fact that IPCC-SRES A2 is merely one hypothesis. Some RCMs have been run with another...... scenario of greenhouse gas concentration (IPCC-SRES B2). Boundary uncertainty is due to the fact that the regional models have been run under the constraint of the same global model. Some RCMs have been run with other boundary forcings. The contribution of the different sources varies according...

  4. Arctic-Atlantic Climate Predictability provided by Poleward Ocean Heat Transport

    Science.gov (United States)

    Årthun, Marius; Eldevik, Tor; Viste, Ellen; Drange, Helge; Furevik, Tore; Johnson, Helen L.; Keenlyside, Noel S.

    2017-04-01

    It is commonly understood that the potential for skillful climate prediction resides in the ocean. The poleward propagation of anomalous heat from the subpolar North Atlantic toward the Arctic Ocean has, in particular, been suggested as a primary source for predictability. It nevertheless remains unresolved how and to what extent variable ocean heat is imprinted on the atmosphere to realize its predictive potential over land. Here we assess from observations whether northwestern European and Arctic climate relates predictably to anomalous ocean heat in the Gulf Stream's northern extension. We show that variations in ocean temperature in the high latitude North Atlantic and Nordic Seas are reflected in the climate of northwestern Europe as well as in the Arctic sea ice extent. Statistical regression models show that climate variability thus can be skillfully predicted up to a decade in advance based on the state of the ocean. Our proposed prognostic framework provides an observationally based benchmark for dynamical prediction and highlights the North Atlantic-Nordic Seas as a key provider of a predictable Arctic-Atlantic climate.

  5. Improving sea level simulation in Mediterranean regional climate models

    Science.gov (United States)

    Adloff, Fanny; Jordà, Gabriel; Somot, Samuel; Sevault, Florence; Arsouze, Thomas; Meyssignac, Benoit; Li, Laurent; Planton, Serge

    2017-08-01

    For now, the question about future sea level change in the Mediterranean remains a challenge. Previous climate modelling attempts to estimate future sea level change in the Mediterranean did not meet a consensus. The low resolution of CMIP-type models prevents an accurate representation of important small scales processes acting over the Mediterranean region. For this reason among others, the use of high resolution regional ocean modelling has been recommended in literature to address the question of ongoing and future Mediterranean sea level change in response to climate change or greenhouse gases emissions. Also, it has been shown that east Atlantic sea level variability is the dominant driver of the Mediterranean variability at interannual and interdecadal scales. However, up to now, long-term regional simulations of the Mediterranean Sea do not integrate the full sea level information from the Atlantic, which is a substantial shortcoming when analysing Mediterranean sea level response. In the present study we analyse different approaches followed by state-of-the-art regional climate models to simulate Mediterranean sea level variability. Additionally we present a new simulation which incorporates improved information of Atlantic sea level forcing at the lateral boundary. We evaluate the skills of the different simulations in the frame of long-term hindcast simulations spanning from 1980 to 2012 analysing sea level variability from seasonal to multidecadal scales. Results from the new simulation show a substantial improvement in the modelled Mediterranean sea level signal. This confirms that Mediterranean mean sea level is strongly influenced by the Atlantic conditions, and thus suggests that the quality of the information in the lateral boundary conditions (LBCs) is crucial for the good modelling of Mediterranean sea level. We also found that the regional differences inside the basin, that are induced by circulation changes, are model-dependent and thus not

  6. Regional air quality management aspects of climate change: impact of climate mitigation options on regional air emissions.

    Science.gov (United States)

    Rudokas, Jason; Miller, Paul J; Trail, Marcus A; Russell, Armistead G

    2015-04-21

    We investigate the projected impact of six climate mitigation scenarios on U.S. emissions of carbon dioxide (CO2), sulfur dioxide (SO2), and nitrogen oxides (NOX) associated with energy use in major sectors of the U.S. economy (commercial, residential, industrial, electricity generation, and transportation). We use the EPA U.S. 9-region national database with the MARKet Allocation energy system model to project emissions changes over the 2005 to 2050 time frame. The modeled scenarios are two carbon tax, two low carbon transportation, and two biomass fuel choice scenarios. In the lower carbon tax and both biomass fuel choice scenarios, SO2 and NOX achieve reductions largely through pre-existing rules and policies, with only relatively modest additional changes occurring from the climate mitigation measures. The higher carbon tax scenario projects greater declines in CO2 and SO2 relative to the 2050 reference case, but electricity sector NOX increases. This is a result of reduced investments in power plant NOX controls in earlier years in anticipation of accelerated coal power plant retirements, energy penalties associated with carbon capture systems, and shifting of NOX emissions in later years from power plants subject to a regional NOX cap to those in regions not subject to the cap.

  7. Soil respiration response to climate change in Pacific Northwest prairies is mediated by a regional Mediterranean climate gradient.

    Science.gov (United States)

    Reynolds, Lorien L; Johnson, Bart R; Pfeifer-Meister, Laurel; Bridgham, Scott D

    2015-01-01

    Soil respiration is expected to increase with rising global temperatures but the degree of response may depend on soil moisture and other local factors. Experimental climate change studies from single sites cannot discern whether an observed response is site-dependent or generalizable. To deconvolve site-specific vs. regional climatic controls, we examined soil respiration for 18 months along a 520 km climate gradient in three Pacific Northwest, USA prairies that represents increasingly severe Mediterranean conditions from north to south. At each site we implemented a fully factorial combination of 2.5-3 °C warming and 20% added precipitation intensity. The response of soil respiration to warming was driven primarily by the latitudinal climate gradient and not site-specific factors. Warming increased respiration at all sites during months when soil moisture was not limiting. However, these gains were offset by reductions in respiration during seasonal transitions and summer drought due to lengthened periods of soil moisture limitation. The degree of this offset varied along the north-south climate gradient such that in 2011 warming increased cumulative annual soil respiration 28.6% in the northern site, 13.5% in the central site, and not at all in the southern site. Precipitation also stimulated soil respiration more frequently in the south, consistent with an increased duration of moisture limitation. The best predictors of soil respiration in nonlinear models were the Normalized Difference Vegetation Index (NDVI), antecedent soil moisture, and temperature but these models provided biased results at high and low soil respiration. NDVI was an effective integrator of climate and site differences in plant productivity in terms of their combined effects on soil respiration. Our results suggest that soil moisture limitation can offset the effect of warming on soil respiration, and that greater growing-season moisture limitation would constrain cumulative annual

  8. Quantification of the impact of climate uncertainty on regional air quality

    Directory of Open Access Journals (Sweden)

    K.-J. Liao

    2009-02-01

    Full Text Available Uncertainties in calculated impacts of climate forecasts on future regional air quality are investigated using downscaled MM5 meteorological fields from the NASA GISS and MIT IGSM global models and the CMAQ model in 2050 in the continental US. Differences between three future scenarios: high-extreme, low-extreme and base case, are used for quantifying effects of climate uncertainty on regional air quality. GISS, with the IPCC A1B scenario, is used for the base case simulations. IGSM results, in the form of probabilistic distributions, are used to perturb the base case climate to provide the high- and low-extreme scenarios. Impacts of the extreme climate scenarios on concentrations of summertime fourth-highest daily maximum 8-h average ozone are predicted to be up to 10 ppbV (about one-seventh of the current US ozone standard of 75 ppbV in urban areas of the Northeast, Midwest and Texas due to impacts of meteorological changes, especially temperature and humidity, on the photochemistry of tropospheric ozone formation and increases in biogenic VOC emissions, though the differences in average peak ozone concentrations are about 1–2 ppbV on a regional basis. Differences between the extreme and base scenarios in annualized PM2.5 levels are very location dependent and predicted to range between −1.0 and +1.5 μg m−3. Future annualized PM2.5 is less sensitive to the extreme climate scenarios than summertime peak ozone since precipitation scavenging is only slightly affected by the extreme climate scenarios examined. Relative abundances of biogenic VOC and anthropogenic NOx lead to the areas that are most responsive to climate change. Overall, planned controls for decreasing regional ozone and PM2.5 levels will continue to be effective in the future under the extreme climate scenarios. However, the impact of climate uncertainties may be substantial in some urban areas and should be included in

  9. Biogeophysical impacts of peatland forestation on regional climate changes in Finland

    Directory of Open Access Journals (Sweden)

    Y. Gao

    2014-12-01

    Full Text Available Land cover changes can impact the climate by influencing the surface energy and water balance. Naturally treeless or sparsely treed peatlands were extensively drained to stimulate forest growth in Finland over the second half of 20th century. The aim of this study is to investigate the biogeophysical effects of peatland forestation on regional climate in Finland. Two sets of 18-year climate simulations were done with the regional climate model REMO by using land cover data based on pre-drainage (1920s and post-drainage (2000s Finnish national forest inventories. In the most intensive peatland forestation area, located in the middle west of Finland, the results show a warming in April of up to 0.43 K in monthly-averaged daily mean 2 m air temperature, whereas a slight cooling from May to October of less than 0.1 K in general is found. Consequently, snow clearance days over that area are advanced up to 5 days in the mean of 15 years. No clear signal is found for precipitation. Through analysing the simulated temperature and energy balance terms, as well as snow depth over five selected subregions, a positive feedback induced by peatland forestation is found between decreased surface albedo and increased surface air temperature in the snow-melting period. Our modelled results show good qualitative agreements with the observational data. In general, decreased surface albedo in the snow-melting period and increased evapotranspiration in the growing period are the most important biogeophysical aspects induced by peatland forestation that cause changes in climate. The results from this study can be further integrally analysed with biogeochemical effects of peatland forestation to provide background information for adapting future forest management to mitigate climate warming effects. Moreover, they provide insights about the impacts of projected forestation of tundra at high latitudes due to climate change.

  10. Global and Regional Temperature-change Potentials for Near-term Climate Forcers

    Science.gov (United States)

    Collins, W.J.; Fry, M. M.; Yu, H.; Fuglestvedt, J. S.; Shindell, D. T.; West, J. J.

    2013-01-01

    The emissions of reactive gases and aerosols can affect climate through the burdens of ozone, methane and aerosols, having both cooling and warming effects. These species are generally referred to near-term climate forcers (NTCFs) or short-lived climate pollutants (SLCPs), because of their short atmospheric residence time. The mitigation of these would be attractive for both air quality and climate on a 30-year timescale, provided it is not at the expense of CO2 mitigation. In this study we examine the climate effects of the emissions of NTCFs from 4 continental regions (East Asia, Europe, North America and South Asia) using results from the Task Force on Hemispheric Transport of Air Pollution Source-Receptor global chemical transport model simulations. We address 3 aerosol species (sulphate, particulate organic matter and black carbon - BC) and 4 ozone precursors (methane, reactive nitrogen oxides - NOx, volatile organic compounds VOC, and carbon monoxide - CO). For the aerosols the global warming potentials (GWPs) and global temperature change potentials (GTPs) are simply time-dependent scaling of the equilibrium radiative forcing, with the GTPs decreasing more rapidly with time than the GWPs. While the aerosol climate metrics have only a modest dependence on emission region, emissions of NOx and VOCs from South Asia have GWPs and GTPs of higher magnitude than from the other northern hemisphere regions. On regional basis, the northern mid-latitude temperature response to northern mid-latitude emissions is approximately twice as large as the global average response for aerosol emission, and about 20-30% larger than the global average for methane, VOC and CO emissions. We also found that temperatures in the Arctic latitudes appear to be particularly sensitive to black carbon emissions from South Asia.

  11. Assessment of production risks for winter wheat in different German regions under climate change conditions

    Science.gov (United States)

    Kersebaum, K. C.; Gandorfer, M.; Wegehenkel, M.

    2012-04-01

    The study shows climate change impacts on wheat production in selected regions across Germany. To estimate yield and economic effects the agro-ecosystem model HERMES was used. The model performed runs using 2 different releases of the model WETTREG providing statistically downscaled climate change scenarios for the weather station network of the German Weather Service. Simulations were done using intersected GIS information on soil types and land use identifying the most relevant sites for wheat production. The production risks for wheat yields at the middle of this century were compared to a reference of the present climate. The irrigation demand was determined by the model using an automatic irrigation mode. Production risks with and without irrigation were assessed and the economic feasibility to reduce production risks by irrigation was evaluated. Costs and benefits were compared. Additionally, environmental effects, e.g. groundwater recharge and nitrogen emissions were assessed for irrigated and rain fed systems. Results show that positive and negative effects of climate change occur within most regions depending on the site conditions. Water holding capacity and groundwater distance were the most important factors which determined the vulnerability of sites. Under climate change condition in the middle of the next century we can expect especially at sites with low water holding capacity decreasing average gross margins, higher production risks and a reduced nitrogen use efficiency under rainfed conditions. Irrigation seems to be profitable and risk reducing at those sites, provided that water for irrigation is available. Additionally, the use of irrigation can also increase nitrogen use efficiency which reduced emissions by leaching. Despite the site conditions results depend strongly on the used regional climate scenario and the model approach to consider the effect of elevated CO2 in the atmosphere.

  12. Uncertainties in climate change projections and regional downscaling: implications for water resources management

    NARCIS (Netherlands)

    Buytaert, W.; Vuille, M.; Dewulf, A.; Urrutia, R.; Karmalkar, A.; Célleri, R.

    2010-01-01

    Climate change is expected to have a large impact on water resources worldwide. A major problem in assessing the potential impact of a changing climate on these resources is the difference in spatial scale between available climate change projections and water resources management. Regional climate

  13. Late Cenozoic climate and the phylogenetic structure of regional conifer floras worldwide

    NARCIS (Netherlands)

    Eiserhardt, W.L.; Borchsenius, F.; Sandel, B.; Kissling, W.D.; Svenning, J.-C.

    2015-01-01

    Aim Using conifers as a model system, we aim to test four hypotheses. H1: the processes that shape the phylogenetic structure of regional species assemblages depend on climate. H2: apparent effects of current climate can be equally well explained by past climate. H3: strong Quaternary climate

  14. Forest Influences on Climate and Water Resources at the Landscape to Regional Scale

    Science.gov (United States)

    Ge Sun; Yongqiang Liu

    2013-01-01

    Although it is well known that climate controls the distribution, productivity and functioning of vegetation on earth, our knowledge about the role of forests in regulating regional climate and water resources is lacking. The studies on climate-forests feedbacks have received increasing attention from the climate change and ecohydrology research communities. The goal...

  15. Use of regional climate model simulations as input for hydrological models for the Hindukush-Karakorum-Himalaya region

    Directory of Open Access Journals (Sweden)

    N. Ahmad

    2009-07-01

    Full Text Available The most important climatological inputs required for the calibration and validation of hydrological models are temperature and precipitation that can be derived from observational records or alternatively from regional climate models (RCMs. In this paper, meteorological station observations and results of the PRECIS (Providing REgional Climate for Impact Studies RCM driven by the outputs of reanalysis ERA 40 data and HadAM3P general circulation model (GCM results are used as input in the hydrological model. The objective is to investigate the effect of precipitation and temperature simulated with the PRECIS RCM nested in these two data sets on discharge simulated with the HBV model for three river basins in the Hindukush-Karakorum-Himalaya (HKH region. Six HBV model experiments are designed: HBV-Met, HBV-ERA and HBV-Had, HBV-MetCRU-corrected, HBV-ERABenchmark and HBV-HadBenchmark where HBV is driven by meteorological stations data, data from PRECIS nested in ERA-40 and HadAM3P, meteorological stations CRU corrected data, ERA-40 reanalysis and HadAM3P GCM data, respectively. Present day PRECIS simulations possess strong capacity to simulate spatial patterns of present day climate characteristics. However, also some quantitative biases exist in the HKH region, where PRECIS RCM simulations underestimate temperature and overestimate precipitation with respect to CRU observations. The calibration and validation results of the HBV model experiments show that the performance of HBV-Met is better than the HBV models driven by other data sources. However, using input data series from sources different from the data used in the model calibration shows that HBV-Had is more efficient than other models and HBV-Met has the least absolute relative error with respect to all other models. The uncertainties are higher in least efficient models (i.e. HBV-MetCRU-corrected and HBV-ERABenchmark where the model

  16. Strategies for Teaching Regional Climate Modeling: Online Professional Development for Scientists and Decision Makers

    Science.gov (United States)

    Walton, P.; Yarker, M. B.; Mesquita, M. D. S.; Otto, F. E. L.

    2014-12-01

    There is a clear role for climate science in supporting decision making at a range of scales and in a range of contexts: from Global to local, from Policy to Industry. However, clear a role climate science can play, there is also a clear discrepancy in the understanding of how to use the science and associated tools (such as climate models). Despite there being a large body of literature on the science there is clearly a need to provide greater support in how to apply appropriately. However, access to high quality professional development courses can be problematic, due to geographic, financial and time constraints. In attempt to address this gap we independently developed two online professional courses that focused on helping participants use and apply two regional climate models, WRF and PRECIS. Both courses were designed to support participants' learning through tutor led programs that covered the basic climate scientific principles of regional climate modeling and how to apply model outputs. The fundamental differences between the two courses are: 1) the WRF modeling course expected participants to design their own research question that was then run on a version of the model, whereas 2) the PRECIS course concentrated on the principles of regional modeling and how the climate science informed the modeling process. The two courses were developed to utilise the cost and time management benefits associated with eLearning, with the recognition that this mode of teaching can also be accessed internationally, providing professional development courses in countries that may not be able to provide their own. The development teams saw it as critical that the courses reflected sound educational theory, to ensure that participants had the maximum opportunity to learn successfully. In particular, the role of reflection is central to both course structures to help participants make sense of the science in relation to their own situation. This paper details the different

  17. Late Holocene climate variability in the southwestern Mediterranean region: an integrated marine and terrestrial geochemical approach

    Directory of Open Access Journals (Sweden)

    C. Martín-Puertas

    2010-12-01

    Full Text Available A combination of marine (Alboran Sea cores, ODP 976 and TTR 300 G and terrestrial (Zoñar Lake, Andalucia, Spain geochemical proxies provides a high-resolution reconstruction of climate variability and human influence in the southwestern Mediterranean region for the last 4000 years at inter-centennial resolution. Proxies respond to changes in precipitation rather than temperature alone. Our combined terrestrial and marine archive documents a succession of dry and wet periods coherent with the North Atlantic climate signal. A dry period occurred prior to 2.7 cal ka BP – synchronously to the global aridity crisis of the third-millennium BC – and during the Medieval Climate Anomaly (1.4–0.7 cal ka BP. Wetter conditions prevailed from 2.7 to 1.4 cal ka BP. Hydrological signatures during the Little Ice Age are highly variable but consistent with more humidity than the Medieval Climate Anomaly. Additionally, Pb anomalies in sediments at the end of the Bronze Age suggest anthropogenic pollution earlier than the Roman Empire development in the Iberian Peninsula. The Late Holocene climate evolution of the in the study area confirms the see-saw pattern between the eastern and western Mediterranean regions and the higher influence of the North Atlantic dynamics in the western Mediterranean.

  18. Late Holocene climate variability in the southwestern Mediterranean region: an integrated marine and terrestrial geochemical approach

    Science.gov (United States)

    Martín-Puertas, C.; Jiménez-Espejo, F.; Martínez-Ruiz, F.; Nieto-Moreno, V.; Rodrigo, M.; Mata, M. P.; Valero-Garcés, B. L.

    2010-12-01

    A combination of marine (Alboran Sea cores, ODP 976 and TTR 300 G) and terrestrial (Zoñar Lake, Andalucia, Spain) geochemical proxies provides a high-resolution reconstruction of climate variability and human influence in the southwestern Mediterranean region for the last 4000 years at inter-centennial resolution. Proxies respond to changes in precipitation rather than temperature alone. Our combined terrestrial and marine archive documents a succession of dry and wet periods coherent with the North Atlantic climate signal. A dry period occurred prior to 2.7 cal ka BP - synchronously to the global aridity crisis of the third-millennium BC - and during the Medieval Climate Anomaly (1.4-0.7 cal ka BP). Wetter conditions prevailed from 2.7 to 1.4 cal ka BP. Hydrological signatures during the Little Ice Age are highly variable but consistent with more humidity than the Medieval Climate Anomaly. Additionally, Pb anomalies in sediments at the end of the Bronze Age suggest anthropogenic pollution earlier than the Roman Empire development in the Iberian Peninsula. The Late Holocene climate evolution of the in the study area confirms the see-saw pattern between the eastern and western Mediterranean regions and the higher influence of the North Atlantic dynamics in the western Mediterranean.

  19. RCWIM - an improved global water isotope pattern prediction model using fuzzy climatic clustering regionalization

    Science.gov (United States)

    Terzer, Stefan; Araguás-Araguás, Luis; Wassenaar, Leonard I.; Aggarwal, Pradeep K.

    2013-04-01

    Prediction of geospatial H and O isotopic patterns in precipitation has become increasingly important to diverse disciplines beyond hydrology, such as climatology, ecology, food authenticity, and criminal forensics, because these two isotopes of rainwater often control the terrestrial isotopic spatial patterns that facilitate the linkage of products (food, wildlife, water) to origin or movement (food, criminalistics). Currently, spatial water isotopic pattern prediction relies on combined regression and interpolation techniques to create gridded datasets by using data obtained from the Global Network of Isotopes In Precipitation (GNIP). However, current models suffer from two shortcomings: (a) models may have limited covariates and/or parameterization fitted to a global domain, which results in poor predictive outcomes at regional scales, or (b) the spatial domain is intentionally restricted to regional settings, and thereby of little use in providing information at global geospatial scales. Here we present a new global climatically regionalized isotope prediction model which overcomes these limitations through the use of fuzzy clustering of climatic data subsets, allowing us to better identify and customize appropriate covariates and their multiple regression coefficients instead of aiming for a one-size-fits-all global fit (RCWIM - Regionalized Climate Cluster Water Isotope Model). The new model significantly reduces the point-based regression residuals and results in much lower overall isotopic prediction uncertainty, since residuals are interpolated onto the regression surface. The new precipitation δ2H and δ18O isoscape model is available on a global scale at 10 arc-minutes spatial and at monthly, seasonal and annual temporal resolution, and will provide improved predicted stable isotope values used for a growing number of applications. The model further provides a flexible framework for future improvements using regional climatic clustering.

  20. Modelling regional cropping patterns under scenarios of climate and socio-economic change in Hungary.

    Science.gov (United States)

    Li, Sen; Juhász-Horváth, Linda; Pintér, László; Rounsevell, Mark D A; Harrison, Paula A

    2017-10-17

    Impacts of socio-economic, political and climatic change on agricultural land systems are inherently uncertain. The role of regional and local-level actors is critical in developing effective policy responses that accommodate such uncertainty in a flexible and informed way across governance levels. This study identified potential regional challenges in arable land use systems, which may arise from climate and socio-economic change for two counties in western Hungary: Veszprém and Tolna. An empirically-grounded, agent-based model was developed from an extensive farmer household survey about local land use practices. The model was used to project future patterns of arable land use under four localised, stakeholder-driven scenarios of plausible future socio-economic and climate change. The results show strong differences in farmers' behaviour and current agricultural land use patterns between the two regions, highlighting the need to implement focused policy at the regional level. For instance, policy that encourages local food security may need to support improvements in the capacity of farmers to adapt to physical constraints in Veszprém and farmer access to social capital and environmental awareness in Tolna. It is further suggested that the two regions will experience different challenges to adaptation under possible future conditions (up to 2100). For example, Veszprém was projected to have increased fallow land under a scenario with high inequality, ineffective institutions and higher-end climate change, implying risks of land abandonment. By contrast, Tolna was projected to have a considerable decline in major cereals under a scenario assuming a de-globalising future with moderate climate change, inferring challenges to local food self-sufficiency. The study provides insight into how socio-economic and physical factors influence the selection of crop rotation plans by farmers in western Hungary and how farmer behaviour may affect future risks to agricultural

  1. Scale dependency of regional climate modeling of current and future climate extremes in Germany

    Science.gov (United States)

    Tölle, Merja H.; Schefczyk, Lukas; Gutjahr, Oliver

    2017-11-01

    A warmer climate is projected for mid-Europe, with less precipitation in summer, but with intensified extremes of precipitation and near-surface temperature. However, the extent and magnitude of such changes are associated with creditable uncertainty because of the limitations of model resolution and parameterizations. Here, we present the results of convection-permitting regional climate model simulations for Germany integrated with the COSMO-CLM using a horizontal grid spacing of 1.3 km, and additional 4.5- and 7-km simulations with convection parameterized. Of particular interest is how the temperature and precipitation fields and their extremes depend on the horizontal resolution for current and future climate conditions. The spatial variability of precipitation increases with resolution because of more realistic orography and physical parameterizations, but values are overestimated in summer and over mountain ridges in all simulations compared to observations. The spatial variability of temperature is improved at a resolution of 1.3 km, but the results are cold-biased, especially in summer. The increase in resolution from 7/4.5 km to 1.3 km is accompanied by less future warming in summer by 1 ∘C. Modeled future precipitation extremes will be more severe, and temperature extremes will not exclusively increase with higher resolution. Although the differences between the resolutions considered (7/4.5 km and 1.3 km) are small, we find that the differences in the changes in extremes are large. High-resolution simulations require further studies, with effective parameterizations and tunings for different topographic regions. Impact models and assessment studies may benefit from such high-resolution model results, but should account for the impact of model resolution on model processes and climate change.

  2. Hydrologic Extremes in a changing climate: how much information can regional climate models provide?

    Energy Technology Data Exchange (ETDEWEB)

    Lettenmaier, Dennis P.

    2012-08-14

    We proposed to identify a set of about 10 urban areas across the western U.S., and hourly precipitation data within each of these areas, which were extracted from the NCDC TD 3240. We also proposed to analyze the annual maximum series of precipitation extremes simulated for NARCCAP (using Reanalysis boundary forcing) for the grid cells close to station data, and to compare the distributions of annual maximum precipitation for accumulation intervals ranging from one to 28 hours. Recognizing that there may inevitably be differences between the station data and RCM grid cell values, we proposed to examine the scale dependence in the distributions of extremes.

  3. An observational and modeling study of the regional impacts of climate variability

    Science.gov (United States)

    Horton, Radley M.

    Climate variability has large impacts on humans and their agricultural systems. Farmers are at the center of this agricultural network, but it is often agricultural planners---regional planners, extension agents, commodity groups and cooperatives---that translate climate information for users. Global climate models (GCMs) are a leading tool for understanding and predicting climate and climate change. Armed with climate projections and forecasts, agricultural planners adapt their decision-making to optimize outcomes. This thesis explores what GCMs can, and cannot, tell us about climate variability and change at regional scales. The question is important, since high-quality regional climate projections could assist farmers and regional planners in key management decisions, contributing to better agricultural outcomes. To answer these questions, climate variability and its regional impacts are explored in observations and models for the current and future climate. The goals are to identify impacts of observed variability, assess model simulation of variability, and explore how climate variability and its impacts may change under enhanced greenhouse warming. Chapter One explores how well Goddard Institute for Space Studies (GISS) atmospheric models, forced by historical sea surface temperatures (SST), simulate climatology and large-scale features during the exceptionally strong 1997--1999 El Nino Southern Oscillation (ENSO) cycle. Reasonable performance in this 'proof of concept' test is considered a minimum requirement for further study of variability in models. All model versions produce appropriate local changes with ENSO, indicating that with correct ocean temperatures these versions are capable of simulating the large-scale effects of ENSO around the globe. A high vertical resolution model (VHR) provides the best simulation. Evidence is also presented that SST anomalies outside the tropical Pacific may play a key role in generating remote teleconnections even

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

    Science.gov (United States)

    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.

  5. Impacts of climate change on land-use and wetland productivity in the Prairie Pothole Region of North America

    Science.gov (United States)

    Rashford, Benjamin S.; Adams, Richard M.; Wu, Jun; Voldseth, Richard A.; Guntenspergen, Glenn R.; Werner, Brett; Johnson, W. Carter

    2016-01-01

    Wetland productivity in the Prairie Pothole Region (PPR) of North America is closely linked to climate. A warmer and drier climate, as predicted, will negatively affect the productivity of PPR wetlands and the services they provide. The effect of climate change on wetland productivity, however, will not only depend on natural processes (e.g., evapotranspiration), but also on human responses. Agricultural land use, the predominant use in the PPR, is unlikely to remain static as climate change affects crop yields and prices. Land use in uplands surrounding wetlands will further affect wetland water budgets and hence wetland productivity. The net impact of climate change on wetland productivity will therefore depend on both the direct effects of climate change on wetlands and the indirect effects on upland land use. We examine the effect of climate change and land-use response on semipermanent wetland productivity by combining an economic model of agricultural land-use change with an ecological model of wetland dynamics. Our results suggest that the climate change scenarios evaluated are likely to have profound effects on land use in the North and South Dakota PPR, with wheat displacing other crops and pasture. The combined pressure of land-use and climate change significantly reduces wetland productivity. In a climate scenario with a +4 °C increase in temperature, our model predicts that almost the entire region may lack the wetland productivity necessary to support wetland-dependent species.

  6. Impacts of Climate Change on Energy Consumption and Peak Demand in Buildings: A Detailed Regional Approach

    Energy Technology Data Exchange (ETDEWEB)

    Dirks, James A.; Gorrissen, Willy J.; Hathaway, John E.; Skorski, Daniel C.; Scott, Michael J.; Pulsipher, Trenton C.; Huang, Maoyi; Liu, Ying; Rice, Jennie S.

    2015-01-01

    This paper presents the results of numerous commercial and residential building simulations, with the purpose of examining the impact of climate change on peak and annual building energy consumption over the portion of the Eastern Interconnection (EIC) located in the United States. The climate change scenario considered (IPCC A2 scenario as downscaled from the CASCaDE data set) has changes in mean climate characteristics as well as changes in the frequency and duration of intense weather events. This investigation examines building energy demand for three annual periods representative of climate trends in the CASCaDE data set at the beginning, middle, and end of the century--2004, 2052, and 2089. Simulations were performed using the Building ENergy Demand (BEND) model which is a detailed simulation platform built around EnergyPlus. BEND was developed in collaboration with the Platform for Regional Integrated Modeling and Analysis (PRIMA), a modeling framework designed to simulate the complex interactions among climate, energy, water, and land at decision-relevant spatial scales. Over 26,000 building configurations of different types, sizes, vintages, and, characteristics which represent the population of buildings within the EIC, are modeled across the 3 EIC time zones using the future climate from 100 locations within the target region, resulting in nearly 180,000 spatially relevant simulated demand profiles for each of the 3 years. In this study, the building stock characteristics are held constant based on the 2005 building stock in order to isolate and present results that highlight the impact of the climate signal on commercial and residential energy demand. Results of this analysis compare well with other analyses at their finest level of specificity. This approach, however, provides a heretofore unprecedented level of specificity across multiple spectrums including spatial, temporal, and building characteristics. This capability enables the ability to

  7. Forest ecosystems of temperate climatic regions: from ancient use to climate change.

    Science.gov (United States)

    Gilliam, Frank S

    2016-12-01

    871 I. 871 II. 874 III. 875 IV. 878 V. 882 884 References 884 SUMMARY: Humans have long utilized resources from all forest biomes, but the most indelible anthropogenic signature has been the expanse of human populations in temperate forests. The purpose of this review is to bring into focus the diverse forests of the temperate region of the biosphere, including those of hardwood, conifer and mixed dominance, with a particular emphasis on crucial challenges for the future of these forested areas. Implicit in the term 'temperate' is that the predominant climate of these forest regions has distinct cyclic, seasonal changes involving periods of growth and dormancy. The specific temporal patterns of seasonal change, however, display an impressive variability among temperate forest regions. In addition to the more apparent current anthropogenic disturbances of temperate forests, such as forest management and conversion to agriculture, human alteration of temperate forests is actually an ancient phenomenon, going as far back as 7000 yr before present (bp). As deep-seated as these past legacies are for temperate forests, all current and future perturbations, including timber harvesting, excess nitrogen deposition, altered species' phenologies, and increasing frequency of drought and fire, must be viewed through the lens of climate change. © 2016 The Author. New Phytologist © 2016 New Phytologist Trust.

  8. Climatic Consequences and Agricultural Impact of Regional Nuclear Conflict

    Science.gov (United States)

    Toon, O. B.; Robock, A.; Mills, M. J.; Xia, L.

    2013-05-01

    A nuclear war between India and Pakistan, with each country using 50 Hiroshima-sized atom bombs as airbursts on urban areas, would inject smoke from the resulting fires into the stratosphere.This could produce climate change unprecedented in recorded human history and global-scale ozone depletion, with enhanced ultraviolet (UV) radiation reaching the surface.Simulations with the Whole Atmosphere Community Climate Model (WACCM), run at higher vertical and horizontal resolution than a previous simulation with the NASA Goddard Institute for Space Studies ModelE, and incorporating ozone chemistry for the first time, show a longer stratospheric residence time for smoke and hence a longer-lasting climate response, with global average surface air temperatures still 1.1 K below normal and global average precipitation 4% below normal after a decade.The erythemal dose from the enhanced UV radiation would greatly increase, in spite of enhanced absorption by the remaining smoke, with the UV index more than 3 units higher in the summer midlatitudes, even after a decade. Scenarios of changes in temperature, precipitation, and downward shortwave radiation from the ModelE and WACCM simulations, applied to the Decision Support System for Agrotechnology Transfer crop model for winter wheat, rice, soybeans, and maize by perturbing observed time series with anomalies from the regional nuclear war simulations, produce decreases of 10-50% in yield averaged over a decade, with larger decreases in the first several years, over the midlatitudes of the Northern Hemisphere. The impact of the nuclear war simulated here, using much less than 1% of the global nuclear arsenal, would be devastating to world agricultural production and trade, possibly sentencing a billion people now living marginal existences to starvation.The continued environmental threat of the use of even a small number of nuclear weapons must be considered in nuclear policy deliberations in Russia, the U.S., and the rest of

  9. DOI Climate Science Centers--Regional science to address management priorities

    Science.gov (United States)

    O'Malley, Robin

    2012-01-01

    Our Nation's lands, waters, and ecosystems and the living and cultural resources they contain face myriad challenges from invasive species, the effects of changing land and water use, habitat fragmentation and degradation, and other influences. These challenges are compounded by increasing influences from a changing climate—higher temperatures, increasing droughts, floods, and wildfires, and overall increasing variability in weather and climate. The Department of the Interior (DOI) has established eight regional Climate Science Centers (CSC) (fig. 1) that will provide scientific information and tools to natural and cultural resource managers as they plan for conserving these resources in a changing world. The U.S. Geological Survey (USGS) National Climate Change and Wildlife Science Center (NCCWSC) is managing the CSCs on behalf of the DOI.

  10. The Impact of Climate Change on the Poleward Movement of Tropical Cyclone-Like Vortices in a Regional Climate Model.

    Science.gov (United States)

    Walsh, Kevin J. E.; Katzfey, Jack J.

    2000-03-01

    A regional climate model (DARLAM) is implemented over the Australian region and a 20-yr seasonally varying simulation is examined for the presence of tropical cyclone-like vortices (TCLVs). The horizontal resolution of the model is 125 km with nine vertical levels and is forced at its boundaries by the output of the Commonwealth Scientific and Industrial Research Organisation GCM using a mixed layer (or `slab') ocean. Additional simulations are performed with a horizontal resolution of 30 km and with 18 vertical levels to examine the impact of increasing resolution on storm intensity. A sample of TCLVs from the 125-km resolution simulation is simulated at 30-km resolution to determine whether they reach observed tropical storm intensity at the finer resolution. It is found that stronger vortices in the 125-km resolution simulation are more likely to intensify when simulated at finer resolution than weaker vortices. In this way, a detection threshold for vortices generated in the 125-km resolution simulation is established and then used to detect TCLVs in that simulation. The regional climate model DARLAM provides a good simulation of both cyclogenesis and its seasonal variation under the current climate. The response of the model under enhanced greenhouse conditions is studied. Under 2 × CO2 conditions, there is no statistically significant change in regions of formation of TCLVs, with only a slight southward shift simulated. Nevertheless, there are statistically significant effects on the poleward movement of TCLVs, with storms generally tending to travel farther poleward in a warmer climate once they have formed. An analysis is undertaken to determine the reasons for this behavior. While the dynamical constraints on the maintenance of TCLV intensity under 2 × CO2 conditions (e.g., vertical wind shear) are similar to those in the current climate, thermodynamic conditions (e.g., sea surface temperatures) are quite different and are likely to be at least partly

  11. Direct and indirect effects of irrigated crop on local and regional climate over Northeast Asia with regional climate model

    Science.gov (United States)

    Oh, S. G.; Suh, M. S.

    2016-12-01

    Irrigated crop is a typical land use and land cover change (LULCC) induced by human activities. In this study, we investigated the direct and indirect effects of irrigated crop on local and regional climate over Northeast Asia according to the intensity of East Asia monsoon. To achieve this goals, two experiments were conducted using regional climate model version 4.0 (RegCM4.0) with Biosphere-Atmosphere Transfer Scheme. All model configurations, such as lateral boundary conditions, cumulus parameterization and radiation scheme, etc., were the same except for land cover. The control experiment (CTRL) was performed with mixed wood where irrigated crop region in global land cover characteristics (GLCC). The sensitivity experiment (IRCP) was performed with irrigated crop induced by human activities. The simulation period was two years, 1997 and 1998, when East Asia monsoon system was relatively weaker and stronger, respectively. Three ensemble simulations for each experiment during two years were performed according to spin-up periods (4, 8 and 12 months). Generally, the IRCP experiment shows cooling effect (-0.5 -1.0°C) in the daily maximum temperature during spring, summer, and autumn around irrigated crop regions (North China Plain and the western part of the Korean peninsula) compared to the CTRL experiment, but warming effect (+1.0 +2.0°C) in the daily minimum temperature during winter. These temperature changes are significantly caused by the direct effect of changed surface energy budget due to the changed surface properties (e.g., albedo, roughness length, soil moisture, etc.) induced by LULCC. The local climate elements (e.g., temp., pressure, winds, moist static energy, etc.) in lower atmosphere are significantly affected by these changes. In addition, the precipitation over the surrounding area was affected by the changes of atmospheric environments (e.g., wind field) through the indirect effects of LULCC. These effects of irrigated crop are more dominant

  12. Evaluation of regional climate model simulations versus gridded observed and regional reanalysis products using a combined weighting scheme

    Energy Technology Data Exchange (ETDEWEB)

    Eum, Hyung-Il; Laprise, Rene [University of Quebec at Montreal, ESCER (Etude et Simulation du Climat a l' Echelle Regionale), Montreal, QC (Canada); Gachon, Philippe [University of Quebec at Montreal, ESCER (Etude et Simulation du Climat a l' Echelle Regionale), Montreal, QC (Canada); Environment Canada, Adaptation and Impacts Research Section, Climate Research Division, Montreal, QC (Canada); Ouarda, Taha [University of Quebec, INRS-ETE (Institut National de la Recherche Scientifique, Centre Eau-Terre-Environnement), Quebec, QC (Canada)

    2012-04-15

    This study presents a combined weighting scheme which contains five attributes that reflect accuracy of climate data, i.e. short-term (daily), mid-term (annual), and long-term (decadal) timescales, as well as spatial pattern, and extreme values, as simulated from Regional Climate Models (RCMs) with respect to observed and regional reanalysis products. Southern areas of Quebec and Ontario provinces in Canada are used for the study area. Three series of simulation from two different versions of the Canadian RCM (CRCM4.1.1, and CRCM4.2.3) are employed over 23 years from 1979 to 2001, driven by both NCEP and ERA40 global reanalysis products. One series of regional reanalysis dataset (i.e. NARR) over North America is also used as reference for comparison and validation purpose, as well as gridded historical observed daily data of precipitation and temperatures, both series have been beforehand interpolated on the CRCM 45-km grid resolution. Monthly weighting factors are calculated and then combined into four seasons to reflect seasonal variability of climate data accuracy. In addition, this study generates weight averaged references (WARs) with different weighting factors and ensemble size as new reference climate data set. The simulation results indicate that the NARR is in general superior to the CRCM simulated precipitation values, but the CRCM4.1.1 provides the highest weighting factors during the winter season. For minimum and maximum temperature, both the CRCM4.1.1 and the NARR products provide the highest weighting factors, respectively. The NARR provides more accurate short- and mid-term climate data, but the two versions of the CRCM provide more precise long-term data, spatial pattern and extreme events. Or study confirms also that the global reanalysis data (i.e. NCEP vs. ERA40) used as boundary conditions in the CRCM runs has non-negligible effects on the accuracy of CRCM simulated precipitation and temperature values. In addition, this study demonstrates

  13. Effects of climatic changes on anisakid nematodes in polar regions

    Science.gov (United States)

    Rokicki, Jerzy

    2009-11-01

    Anisakid nematodes are common in Antarctic, sub-Antarctic, and Arctic areas. Current distributional knowledge of anisakids in the polar regions is reviewed. Climatic variables influence the occurrence and abundance of anisakids, directly influencing their free-living larval stages and also indirectly influencing their predominantly invertebrate (but also vertebrate) hosts. As these parasites can also be pathogenic for humans, the paucity of information available is a source of additional hazard. As fish are a major human dietary component in Arctic and Antarctic areas, and are often eaten without heat processing, a high risk of infection by anisakid larvae might be expected. The present level of knowledge, particularly relating to anisakid larval stages present in fishes, is far from satisfactory. Preliminary molecular studies have revealed the presence of species complexes. Contemporary climate warming is modifying the marine environment and may result in an extension of time during which anisakid eggs can persist and hatch, and of the time period during which newly hatched larvae remain viable. As a result there may be an increase in the extent of anisakid distribution. Continued warming will modify the composition of the parasitic nematode fauna of marine animals, due to changes in feeding habits, as the warming of the sea and any localised reduction in salinity (from freshwater runoff) can be expected to bring about changes in the species composition of pelagic and benthic invertebrates.

  14. Warming effects on the urban hydrology in cold climate regions.

    Science.gov (United States)

    Järvi, L; Grimmond, C S B; McFadden, J P; Christen, A; Strachan, I B; Taka, M; Warsta, L; Heimann, M

    2017-07-19

    While approximately 338 million people in the Northern hemisphere live in regions that are regularly snow covered in winter, there is little hydro-climatologic knowledge in the cities impacted by snow. Using observations and modelling we have evaluated the energy and water exchanges of four cities that are exposed to wintertime snow. We show that the presence of snow critically changes the impact that city design has on the local-scale hydrology and climate. After snow melt, the cities return to being strongly controlled by the proportion of built and vegetated surfaces. However in winter, the presence of snow masks the influence of the built and vegetated fractions. We show how inter-year variability of wintertime temperature can modify this effect of snow. With increasing temperatures, these cities could be pushed towards very different partitioning between runoff and evapotranspiration. We derive the dependency of wintertime runoff on this warming effect in combination with the effect of urban densification.

  15. Global and Regional Climate Responses Solar Radiation Management: Results from a climateprediction.net Geoengineering Experiment

    Science.gov (United States)

    Ricke, Katharine; Allen, Myles; Ingram, William; Keith, David; Granger Morgan, M.

    2010-05-01

    To date modeling studies suggest that, while significant hydrological anomalies could result from the artificial addition of reflecting aerosols in the stratosphere for the purpose of solar radiation management (SRM), even at the regional level such a geoengineered world would bear a much closer resemblance to a low CO2 world, than to an unmodified high CO2 world. These previous modeling studies have generally compared one or two SRM forcing scenarios to various business-as-usual controls. However, such approaches cannot provide much information about regional sensitivities to the levels of SRM that might realistically result. Should engaging in SRM every be seriously contemplated, such regional analysis of a range of realistic scenarios will be an essential input to any process of geopolitical decision-making. Here we present the results from a large-ensemble experiment that used the HadCM3L GCM, implemented through climateprediction.net. The analysis examines 135 globally-uniform stratospheric optical depth modification scenarios designed to stabilize global temperatures under SRES A1B. Scenarios were tested using ten-member subensembles which made small perturbations to initial conditions. All simulations use identical standard settings of model physics parameters and are initiated from historically-forced runs from 1920-2005. A total of 7,331 simulations of the years 2000-2080 were performed for this experiment using computing resources donated by the general public. Our analysis of regional temperature and precipitation anomalies, normalized to account for variability, shows that SRM compensations for anthropogenic greenhouse gas forcing do generally return regional climates closer to their baseline climate states than the no-geoengineering, business-as-usual scenarios. However, we find that the magnitudes and sensitivities of regional responses to this type of activity, as modeled in HadCM3L, are highly variable. As the amount of SRM increases to compensate

  16. Climate Change Scenarios of Precipitation Extremes in the Carpathian Region Based on an Ensemble of Regional Climate Models

    Directory of Open Access Journals (Sweden)

    Ladislav Gaál

    2014-01-01

    Full Text Available The study examines projected changes in precipitation extremes, aggregated on several time scales (1 hour, 1 day, and 5 days, in simulations of 12 regional climate models (RCMs with high spatial resolution (~25 km. The study area is the Carpathian Basin (Central and Southeastern Europe which has a complex topography and encompasses the whole territory of Slovakia and Hungary as well as major parts of Romania and western Ukraine. We focus on changes in mean seasonal maxima and high quantiles (50-year return values projected for the late 21st century (time slice 2070–2099 in comparison to the control period (time slice 1961–1990, for summer and winter. The 50-year return values are estimated by means of a regional frequency analysis based on the region-of-influence method, which reduces random variability and leads to more reliable estimates of high quantiles. In winter, all examined characteristics of precipitation (seasonal totals, mean seasonal maxima, and 50-year return values for both short-term and multi-day aggregations show similar patterns of projected increases for the late 21st century. In summer, by contrast, drying is projected for seasonal totals in all RCMs while increases clearly prevail for the 50-year return values. The projected increases are larger for short-term (hourly extremes that are more directly related to convective activity than multiday extremes. This suggests that the probability of occurrence of flash floods may increase more than that of large-scale floods in a warmer climate. The within-ensemble variability (and associated uncertainty is, nevertheless, much larger in summer than in winter.

  17. On the importance for climate science communication - the climate office for polar regions and sea level rise

    Science.gov (United States)

    Treffeisen, Renate; Lemke, Peter; Dethloff, Klaus

    2010-05-01

    Climate change presents a major challenge for national and international action and cooperation. A wide variation in the vulnerability is to be expected across different regions, due to regional differences in local environmental conditions, preexisting stresses to ecosystems, current resource-use patterns, and the framework of factors affecting decision-making including government policies, prices, preferences, and values. Thus, considerable regional impact differences will be faced as a result of climate change. Being aware will help to prepare for these inevitable consequences in time. Climate change is nowhere more strongly expressed than in the polar regions which respond to even small changes in climate. Given the major role played by these regions within the Earth's climate system the climate office for polar regions and sea level rise is hosted by the Foundation Alfred Wegener Institute for Polar and Marine Research (AWI) which conducts research in the Arctic, the Antarctic and at temperate latitudes since 1980. The major goal of the climate office is to encourage the communication and dialogue between science and public. Primarily, this is done by the unique close contact and cooperation to the research center scientists. A continuous exchange is supported beyond the research center towards universities and authorities at state and federal level. The climate office represents polar aspects of climate related research based on the scientific expertise from the hosting research institute e.g. the understanding of the ocean-ice-atmosphere interactions, the animal and plant kingdoms of the Arctic and Antarctic, and the evolution of the polar continents and seas. The climate office translates the scientific work into English, making complex issues accessible to policymakers and the public. It compiles, evaluates, comprehensively process and transparently communicate the latest findings from polar related climate research. The paper will present different

  18. Arctic climate change in an ensemble of regional CORDEX simulations

    Directory of Open Access Journals (Sweden)

    Torben Koenigk

    2015-03-01

    Full Text Available Fifth phase Climate Model Intercomparison Project historical and scenario simulations from four global climate models (GCMs using the Representative Concentration Pathways greenhouse gas concentration trajectories RCP4.5 and RCP8.5 are downscaled over the Arctic with the regional Rossby Centre Atmosphere model (RCA. The regional model simulations largely reflect the circulation bias patterns of the driving global models in the historical period, indicating the importance of lateral and lower boundary conditions. However, local differences occur as a reduced winter 2-m air temperature bias over the Arctic Ocean and increased cold biases over land areas in RCA. The projected changes are dominated by a strong warming in the Arctic, exceeding 15°K in autumn and winter over the Arctic Ocean in RCP8.5, strongly increased precipitation and reduced sea-level pressure. Near-surface temperature and precipitation are linearly related in the Arctic. The wintertime inversion strength is reduced, leading to a less stable stratification of the Arctic atmosphere. The diurnal temperature range is reduced in all seasons. The large-scale change patterns are dominated by the surface and lateral boundary conditions so future response is similar in RCA and the driving global models. However, the warming over the Arctic Ocean is smaller in RCA; the warming over land is larger in winter and spring but smaller in summer. The future response of winter cloud cover is opposite in RCA and the GCMs. Precipitation changes in RCA are much larger during summer than in the global models and more small-scale change patterns occur.

  19. Sustainable Land Management's potential for climate change adaptation in Mediterranean environments: a regional scale assessment

    Science.gov (United States)

    Eekhout, Joris P. C.; de Vente, Joris

    2017-04-01

    Climate change has strong implications for many essential ecosystem services, such as provision of drinking and irrigation water, soil erosion and flood control. Especially large impacts are expected in the Mediterranean, already characterised by frequent floods and droughts. The projected higher frequency of extreme weather events under climate change will lead to an increase of plant water stress, reservoir inflow and sediment yield. Sustainable Land Management (SLM) practices are increasingly promoted as climate change adaptation strategy and to increase resilience against extreme events. However, there is surprisingly little known about their impacts and trade-offs on ecosystem services at regional scales. The aim of this research is to provide insight in the potential of SLM for climate change adaptation, focusing on catchment-scale impacts on soil and water resources. We applied a spatially distributed hydrological model (SPHY), coupled with an erosion model (MUSLE) to the Segura River catchment (15,978 km2) in SE Spain. We run the model for three periods: one reference (1981-2000) and two future scenarios (2031-2050 and 2081-2100). Climate input data for the future scenarios were based on output from 9 Regional Climate Models and for different emission scenarios (RCP 4.5 and RCP 8.5). Realistic scenarios of SLM practices were developed based on a local stakeholder consultation process. The evaluated SLM scenarios focussed on reduced tillage and organic amendments under tree and cereal crops, covering 24% and 15% of the catchment, respectively. In the reference scenario, implementation of SLM at the field-scale led to an increase of the infiltration capacity of the soil and a reduction of surface runoff up to 29%, eventually reducing catchment-scale reservoir inflow by 6%. This led to a reduction of field-scale sediment yield of more than 50% and a reduced catchment-scale sediment flux to reservoirs of 5%. SLM was able to fully mitigate the effect of climate

  20. Ocean climate indicators: A monitoring inventory and plan for tracking climate change in the north-central California coast and ocean region

    Science.gov (United States)

    Duncan, Benet; Higgason, Kelley; Suchanek, Tom; Largier, John; Stachowicz, Jay; Allen, Sarah; Bograd, Steven; Breen, R.; Gellerman, Holly; Hill, Tessa; Jahncke, Jaime; Johnosn, Rebecca; Lonhart, Steve I.; Morgan, Steven; Wilkerson, Frances; Roletto, Jan

    2013-01-01

    The impacts of climate change, defined as increasing atmospheric and oceanic carbon dioxide and associated increases in average global temperature and oceanic acidity, have been observed both globally and on regional scales, such as in the North-central California coast and ocean, a region that extends from Point Arena to Point Año Nuevo and includes the Pacific coastline of the San Francisco Bay Area. Because of the high economic and ecological value of the region’s marine environment, the Gulf of the Farallones National Marine Sanctuary (GFNMS) and other agencies and organizations have recognized the need to evaluate and plan for climate change impacts. Climate change indicators can be developed on global, regional, and site-specific spatial scales, and they provide information about the presence and potential impacts of climate change. While indicators exist for the nation and for the state of California as a whole, no system of ocean climate indicators exist that specifically consider the unique characteristics of the California coast and ocean region. To that end, GFNMS collaborated with over 50 regional, federal, and state natural resource managers, research scientists, and other partners to develop a set of 2 ocean climate indicators specific to this region. A smaller working group of 13 regional partners developed monitoring goals, objectives, strategies, and activities for the indicators and recommended selected species for biological indicators, resulting in the Ocean Climate Indicators Monitoring Inventory and Plan. The working group considered current knowledge of ongoing monitoring, feasibility of monitoring, costs, and logistics in selecting monitoring activities and selected species.

  1. Invited review: climate change impacts in polar regions: lessons from Antarctic moss bank archives.

    Science.gov (United States)

    Royles, Jessica; Griffiths, Howard

    2015-03-01

    Mosses are the dominant plants in polar and boreal regions, areas which are experiencing rapid impacts of regional warming. Long-term monitoring programmes provide some records of the rate of recent climate change, but moss peat banks contain an unrivalled temporal record of past climate change on terrestrial plant Antarctic systems. We summarise the current understanding of climatic proxies and determinants of moss growth for contrasting continental and maritime Antarctic regions, as informed by 13C and 18O signals in organic material. Rates of moss accumulation are more than three times higher in the maritime Antarctic than continental Antarctica with growing season length being a critical determinant of growth rate, and high carbon isotope discrimination values reflecting optimal hydration conditions. Correlation plots of 13C and 18O values show that species (Chorisodontium aciphyllum / Polytrichum strictum) and growth form (hummock / bank) are the major determinants of measured isotope ratios. The interplay between moss growth form, photosynthetic physiology, water status and isotope composition are compared with developments of secondary proxies, such as chlorophyll fluorescence. These approaches provide a framework to consider the potential impact of climate change on terrestrial Antarctic habitats as well as having implications for future studies of temperate, boreal and Arctic peatlands. There are many urgent ecological and environmental problems in the Arctic related to mosses in a changing climate, but the geographical ranges of species and life-forms are difficult to track individually. Our goal was to translate what we have learned from the more simple systems in Antarctica, for application to Arctic habitats. © 2014 John Wiley & Sons Ltd.

  2. Projection of global warming onto regional precipitation over Mongolia using a regional climate model

    Science.gov (United States)

    Sato, Tomonori; Kimura, Fujio; Kitoh, Akio

    2007-01-01

    SummaryClimate change due to global warming is of concern to the public and may cause significant changes in the hydrological regimes in arid/semi-arid areas including Mongolia, which locates at a boundary between arid and humid regions. However, general circulation models (GCMs) are not sufficient to evaluate climate change on a regional-scale. In this study, two kinds of dynamical downscaling (DDS), referred to as method-G and method-R, using a regional climate model (RCM) are applied to investigate the rainfall change over Mongolia in July due to the global warming. Method-G is a traditional DDS method in which an RCM is directly nested within a GCM, while method-R is newly suggested in this study and aims to improve the reproductivity of a regional climate. For current climate simulation, method-R uses reanalysis data as a boundary forcing of the RCM while a specially created boundary condition, in which projected changes of meteorological variables in a GCM simulation are added on reanalysis data, is used for global warming simulation. Compared with in situ observations, the rainfall amount for July is very well reproduced by the RCM, even in a smaller area of four subregions in Mongolia. Rainfall intensity by method-R is very close to actual observations; on the other hand, method-G fails to simulate heavy rainfall events stronger than 16 mm day -1. The two DDS methods show similar results with respect to the changes of precipitation in July due to the global warming, which are that precipitation decreases over northern and increases over southern Mongolia. In method-R, a decrease of precipitation of middle to heavy rainfall intensity, stronger than 4 mm day -1, contributes largely to the decreased July precipitation in northern Mongolia. Soil moisture over Mongolia also tends to decrease in July because of the combined effect caused by the decrease of precipitation and the increase of potential evaporation due to rising air temperature. This situation

  3. Challenges for Ecosystem Services Provided by Coral Reefs In the Face of Climate Change

    Science.gov (United States)

    Kikuchi, R. K.; Elliff, C. I.

    2014-12-01

    Coral reefs provide many ecosystem services of which coastal populations are especially dependent upon, both in cases of extreme events and in daily life. However, adaptation to climate change is still relatively unknown territory regarding the ecosystem services provided by coastal environments, such as coral reefs. Management strategies usually consider climate change as a distant issue and rarely include ecosystem services in decision-making. Coral reefs are among the most vulnerable environments to climate change, considering the impact that increased ocean temperature and acidity have on the organisms that compose this ecosystem. If no actions are taken, the most likely scenario to occur will be of extreme decline in the ecosystem services provided by coral reefs. Loss of biodiversity due to the pressures of ocean warming and acidification will lead to increased price of seafood products, negative impact on food security, and ecological imbalances. Also, sea-level rise and fragile structures due to carbonate dissolution will increase vulnerability to storms, which can lead to shoreline erosion and ultimately threaten coastal communities. Both these conditions will undoubtedly affect recreation and tourism, which are often the most important use values in the case of coral reef systems. Adaptation strategies to climate change must take on an ecosystem-based approach with continuous monitoring programs, so that multiple ecosystem services are considered and not only retrospective trends are analyzed. Brazilian coral reefs have been monitored on a regular basis since 2000 and, considering that these marginal coral reefs of the eastern Atlantic are naturally under stressful conditions (e.g. high sedimentation rates), inshore reefs of Brazil, such as those in Tinharé-Boipeba, have shown lower vitality rates due to greater impacts from the proximity to the coastal area (e.g. pollution, overfishing, sediment run-off). This chronic negative impact must be addressed

  4. Building America Best Practices Series: Guide to Determining Climate Regions by County

    Energy Technology Data Exchange (ETDEWEB)

    Gilbride, Theresa L.

    2008-10-01

    This document describes the eight climate region designations used by the US Department of Energy Building America Program. In addition to describing the climate zones, the document includes a complete list of every county in the United States and their climate region designations. The county lists are grouped by state. The doucment is intended to assist builders to easily identify what climate region they are building in and therefore which climate-specific Building America best practices guide would be most appropriate for them.

  5. Very high-resolution regional climate simulations over Scandinavia-present climate

    DEFF Research Database (Denmark)

    Christensen, Ole B.; Christensen, Jens H.; Machenhauer, Bennert

    1998-01-01

    The hydrological cycle on a regional scale is poorly represented with a present-day coarse resolution general circulation model (GCM). With a dynamical downscaling technique, in which a regional higher-resolution climate model (RCM) is nested into the GCM, this starts to become feasible. Here...... the authors go one step further with a double nesting approach, applying an RCM at 19-km horizontal resolution nested into an RCM at 57-km resolution over an area covering the Scandinavian Peninsula. A 9-yr-long time-slice simulation is performed with the driving boundary conditions taken from a fully coupled...... simulated in the high-resolution simulation. It does, however, inherit certain large-scale systematic errors from the driving GCM. In many cases these errors increase with increasing resolution. Model verification of near-surface temperature and precipitation is made using a new gridded climatology based...

  6. Development of the virtual research environment for analysis, evaluation and prediction of global climate change impacts on the regional environment

    Science.gov (United States)

    Okladnikov, Igor; Gordov, Evgeny; Titov, Alexander; Fazliev, Alexander

    2017-04-01

    Description and the first results of the Russian Science Foundation project "Virtual computational information environment for analysis, evaluation and prediction of the impacts of global climate change on the environment and climate of a selected region" is presented. The project is aimed at development of an Internet-accessible computation and information environment providing unskilled in numerical modelling and software design specialists, decision-makers and stakeholders with reliable and easy-used tools for in-depth statistical analysis of climatic characteristics, and instruments for detailed analysis, assessment and prediction of impacts of global climate change on the environment and climate of the targeted region. In the framework of the project, approaches of "cloud" processing and analysis of large geospatial datasets will be developed on the technical platform of the Russian leading institution involved in research of climate change and its consequences. Anticipated results will create a pathway for development and deployment of thematic international virtual research laboratory focused on interdisciplinary environmental studies. VRE under development will comprise best features and functionality of earlier developed information and computing system CLIMATE (http://climate.scert.ru/), which is widely used in Northern Eurasia environment studies. The Project includes several major directions of research listed below. 1. Preparation of geo-referenced data sets, describing the dynamics of the current and possible future climate and environmental changes in detail. 2. Improvement of methods of analysis of climate change. 3. Enhancing the functionality of the VRE prototype in order to create a convenient and reliable tool for the study of regional social, economic and political consequences of climate change. 4. Using the output of the first three tasks, compilation of the VRE prototype, its validation, preparation of applicable detailed description of

  7. A 'regionalized' approach based on climate zones for improved Interpolation of global precipitation δ18O

    Science.gov (United States)

    Terzer, S.; Araguas, L.; Aggarwal, P. K.

    2012-12-01

    Spatial interpolation of point-based precipitation isotope measurements is a common task required to generate 'isoscapes' which are used for various applications in hydrology, climatology, ecology and forensics. While various prediction methods have been explored (employing interpolation and/or multiple regression), one of their basic objectives is to identify a globally suitable parameterization. On the other hand, regional models have been developed to improve interpolation on a limited spatial extent. We have developed a new approach based on climate zones to 'regionalize' regression parameters, building a global prediction model based on a set of regionally adjusted multiple regression/interpolation procedures. A climate zone boundary fuzzification technique was used to smooth out climate zone transitions. Evaluation of the new model in comparison with a globally fitted one shows that the regionalized model has a lower model uncertainty at similar confidence intervals. The resulting global interpolation thus provides an improved and reliable map of precipitation isotopes with significant differences in predicted values in most parts of the world.

  8. Regional scenarios of future climate change over southern Africa

    CSIR Research Space (South Africa)

    Tadross, M

    2011-11-01

    Full Text Available ?s climate 7 Current state and recent historical changes 1.1. Introduction 7 1.2. Understanding climate, variability and change 7 1.3. Current climate of southern Africa 8 ? Rainfall 8 ? Relative humidity 11 ? Temperature 12 1.4. Observed... changes in global climate 14 ? Detection and attribution of global climate change 14 1.5. Observed trends in southern African climate 16 ? Temperature 17 ? Rainfall 18 ? Case study: Farmer perceptions regarding variability and change in local 21...

  9. A data portal for regional climatic trend analysis in a Peruvian High Andes region

    Science.gov (United States)

    Schwarb, M.; Acuña, D.; Konzelmann, Th.; Rohrer, M.; Salzmann, N.; Serpa Lopez, B.; Silvestre, E.

    2011-08-01

    In the frame of a Swiss-Peruvian climate change adaptation initiative (PACC), operational and historical data series of more than 100 stations of the Peruvian Meteorological and Hydrological Service (SENAMHI) are now accessible in a dedicated data portal. The data portal allows for example the comparison of data series or the interpolation of spatial fields as well as download of data in various data formats. It is thus a valuable tool supporting the process of data homogenisation and generation of a regional baseline climatology for a sound development of adequate climate change adaptation measures. The procedure to homogenize air-temperature and precipitation data series near Cusco city is outlined and followed by an exemplary trend analysis. Local air temperature trends are found to be in line with global mean trends.

  10. Analysis of climate change indices in relation to wine production: A case study in the Douro region (Portugal

    Directory of Open Access Journals (Sweden)

    Blanco-Ward Daniel

    2017-01-01

    Full Text Available Climate change is of major relevance to wine production as most of the wine-growing regions of the world, in particular the Douro region, are located within relatively narrow latitudinal bands with average growing season temperatures limited to 13–21°C. This study focuses on the incidence of climate variables and indices that are relevant both for climate change detection and for grape production with particular emphasis on extreme events (e.g. cold waves, storms, heat waves. Dynamical downscaling of MPI-ESM-LR global data forced with RCP8.5 climatic scenario is performed with the Weather Research and Forecast (WRF model to a regional scale including the Douro valley of Portugal for recent-past (1986–2005 and future periods (2046–2065; 2081–2100. The number, duration and intensity of events are superimposed over critical phenological phases of the vine (dormancy, bud burst, flowering, véraison, and maturity in order to assess their positive or negative implications on wine production in the region. An assessment on the statistical significance of climatic indices, their differences between the recent-past and the future scenarios and the potential impact on wine production is performed. Preliminary results indicate increased climatic stress on the Douro region wine production and increased vulnerability of its vine varieties. These results will provide evidence for future strategies aimed to preserve the high-quality wines in the region and their typicality in a sustainable way.

  11. Burgundy regional climate change and its potential impact on grapevines

    Science.gov (United States)

    Xu, Yiwen; Castel, Thierry; Richard, Yves; Cuccia, Cédric; Bois, Benjamin

    2012-10-01

    ARPEGE general circulation model simulations were dynamically downscaled by The Weather Research and Forecasting Model (WRF) for the study of climate change and its impact on grapevine growth in Burgundy region in France by the mid twenty-first century. Two time periods were selected: 1970-1979 and 2031-2040. The WRF model driven by ERA-INTERIM reanalysis data was validated against in situ surface temperature observations. The daily maximum and minimum surface temperature (Tmax and Tmin) were simulated by the WRF model at 8 × 8 km horizontal resolution. The averaged daily Tmax for each month during 1970-1979 have good agreement with observations, the averaged daily Tmin have a warm bias about 1-2 K. The daily Tmax and Tmin for each month (domain averaged) during 2031-2040 show a general increase. The largest increment (~3 K) was found in summer. The smallest increments (Pinot noir grape variety) flowering and véraison dates. For 2031-2040, the projected dates are 8 and 12 days earlier than those during 1970-1979, respectively. The simulated hot days increase more than 50% in the two principal grapevine regions. They show strong impact on Pinot noir development.

  12. Zooming in on cirrus with the Canadian Regional Climate Model

    Science.gov (United States)

    Stefanof, C.; Stefanof, A.; Beaulne, A.; Munoz Alpizar, R.; Szyrmer, W.; Blanchet, J.

    2004-05-01

    The Canadian Regional Climate Model plus a microphysical scheme: two-moments microphysics with three hydrometeor categories (cloud liquid water, pristine ice crystals and larger precipitation crystals) is used to test the simulation in forecast mode using ECMWF data at 0.4 X 0.4 degree. We are zooming in on cirrus at higher resolutions (9, 1.8, 0.36 km). We are currently using the data set measured in APEX-E3, measurements of radar, lidar, passive instruments and interpreted microphysics for some flights (G-II, C404, B200). The radar and lidar data are available for high level cirrus. The south west of Japon is the flight region. The dates are March 20, March 27 and April 2, 2003. We first focus on the March 27 frontal system. We did a rigorous synoptical analysis for the cases. The cirrus at 360 m resolution are simulated. The cloud structure and some similarities between model simulation and observations will be presented.

  13. Performance evaluation of a non-hydrostatic regional climate model over the Mediterranean/Black Sea area and climate projections for the XXI century

    Science.gov (United States)

    Mercogliano, Paola; Bucchignani, Edoardo; Montesarchio, Myriam; Zollo, Alessandra Lucia

    2013-04-01

    In the framework of the Work Package 4 (Developing integrated tools for environmental assessment) of PERSEUS Project, high resolution climate simulations have been performed, with the aim of furthering knowledge in the field of climate variability at regional scale, its causes and impacts. CMCC is a no profit centre whose aims are the promotion, research coordination and scientific activities in the field of climate changes. In this work, we show results of numerical simulation performed over a very wide area (13W-46E; 29-56N) at spatial resolution of 14 km, which includes the Mediterranean and Black Seas, using the regional climate model COSMO-CLM. It is a non-hydrostatic model for the simulation of atmospheric processes, developed by the DWD-Germany for weather forecast services; successively, the model has been updated by the CLM-Community, in order to develop climatic applications. It is the only documented numerical model system in Europe designed for spatial resolutions down to 1 km with a range of applicability encompassing operational numerical weather prediction, regional climate modelling the dispersion of trace gases and aerosol and idealised studies and applicable in all regions of the world for a wide range of available climate simulations from global climate and NWP models. Different reasons justify the development of a regional model: the first is the increasing number of works in literature asserting that regional models have also the features to provide more detailed description of the climate extremes, that are often more important then their mean values for natural and human systems. The second one is that high resolution modelling shows adequate features to provide information for impact assessment studies. At CMCC, regional climate modelling is a part of an integrated simulation system and it has been used in different European and African projects to provide qualitative and quantitative evaluation of the hydrogeological and public health risks

  14. On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff

    Science.gov (United States)

    Muerth, M. J.; Gauvin St-Denis, B.; Ricard, S.; Velázquez, J. A.; Schmid, J.; Minville, M.; Caya, D.; Chaumont, D.; Ludwig, R.; Turcotte, R.

    2012-09-01

    In climate change impact research, the assessment of future river runoff as well as the catchment scale water balance is impeded by different sources of modeling uncertainty. Some research has already been done in order to quantify the uncertainty of climate projections originating from the climate models and the downscaling techniques as well as from the internal variability evaluated from climate model member ensembles. Yet, the use of hydrological models adds another layer of incertitude. Within the QBic3 project (Québec-Bavaria International Collaboration on Climate Change) the relative contributions to the overall uncertainty from the whole model chain (from global climate models to water management models) are investigated using an ensemble of multiple climate and hydrological models. Although there are many options to downscale global climate projections to the regional scale, recent impact studies tend to use Regional Climate Models (RCMs). One reason for that is that the physical coherence between atmospheric and land-surface variables is preserved. The coherence between temperature and precipitation is of particular interest in hydrology. However, the regional climate model outputs often are biased compared to the observed climatology of a given region. Therefore, biases in those outputs are often corrected to reproduce historic runoff conditions from hydrological models using them, even if those corrections alter the relationship between temperature and precipitation. So, as bias correction may affect the consistency between RCM output variables, the use of correction techniques and even the use of (biased) climate model data itself is sometimes disputed among scientists. For those reasons, the effect of bias correction on simulated runoff regimes and the relative change in selected runoff indicators is explored. If it affects the conclusion of climate change analysis in hydrology, we should consider it as a source of uncertainty. If not, the

  15. Space-based observatories providing key data for climate change applications

    Science.gov (United States)

    Lecomte, J.; Juillet, J. J.

    2016-12-01

    The Sentinel-1 & 3 mission are part of the Copernicus program, previously known as GMES (Global Monitoring for Environment and Security), whose overall objective is to support Europe's goals regarding sustainable development and global governance of the environment by providing timely and quality data, information, services and knowledge. This European Earth Observation program is led by the European Commission and the space infrastructure is developed under the European Space Agency leadership. Many services will be developed through the Copernicus program among different thematic areas. The climate change is one of this thematic area and the Sentinel-1 & 3 satellites will provide key space-based observations in this area. The Sentinel-1 mission is based on a constellation of 2 identical satellites each one embarking C-SAR Instrument and provides capability for continuous radar mapping of the Earth with enhanced revisit frequency, coverage, timeliness and reliability for operational services and applications requiring long time series. In particular, Sentinel 1 provides all-weather, day-and-night estimates of soil moisture, wind speed and direction, sea ice, continental ice sheets and glaciers. The Sentinel-3 mission will mainly be devoted to the provision of Ocean observation data in routine, long term (20 years of operations) and continuous fashion with a consistent quality and a very high level of availability. Among these data, very accurate surface temperatures and topography measurements will be provided and will constitute key indicators, once ingested in climate change models, for identifying climate drivers and expected climate impacts. The paper will briefly recall the satellite architectures, their main characteristics and performance. The inflight performance and key features of their images or data of the 3 satellites namely Sentinel 1A, 1B and 3A will be reviewed to demonstrate the quality and high scientific potential of the data as well as their

  16. Climate Variability, Andean Livelihood Strategies, Development and Adaptation in the Andean Region

    Science.gov (United States)

    Valdivia, C.; Quiroz, R.; Zorogastua, P.; Baigorrea, G.

    2002-05-01

    Development programs in the Andes have failed to recognize climate variability as an element that is crucial to the adoption of new alternatives. Dairy, potatoes, improved sheep, forages are all part of the history of development in this region. A combination of climate variability, changes in the economy, the political environment, and land tenure reform shape rural livelihoods and welfare. Diversification, linking to markets, and networking are some elements that contribute to the resilience of families in the Andes. Strategies change, are flexible, and may incorporate non-agricultural activities. While some farmers are able to improve their welfare through the life cycle, others become poorer. Climate variability increases the vulnerability of some groups; in other cases, because of diversification and assets, households build economic portfolios that are more resilient to the elements. The many projects provide insights into how in the long run households improve their environment, hinting at mechanisms to adapt to climate change. In order to understand changing composition of portfolios in future scenarios of spatial heterogeneous areas such as mountains (Andes), estimates of models predicting climate change at a global scale are not useful because their resolution. Therefore, downscaling tools are useful. Spatial heterogeneity is assessed through agroecozoning. Both production and the impact on some environmental indicators are simulated through process-based models, for the Ilave-Huenque watershed in Peru that help in discussing scenarios of adaptation.

  17. A needs assessment for climate change education in the Great Lakes region

    Science.gov (United States)

    Rutherford, S.; Schneider, L. B.; Walters, H.

    2011-12-01

    The National Science Foundation funded Great Lakes Climate Change Science and Education Systemic Network project is implementing a two year planning effort to create innovative education programs to benefit the public, formal and informal educators, scientists, and journalists in the region. The current partners include Eastern Michigan University, NOAA's Great Lakes Environmental Research Lab, University of Michigan, Michigan State University, Knight Center for Environmental Journalism, Ashland University, Ann Arbor Hands-On Museum, and the College of Exploration. To create a network we are planning to bring together different stakeholders to write two white papers, one from the scientists' perspective and the other from the educators'(both formal and informal) perspective. The current partners' key personnel have produced a list of possible people/institutions to include in a stakeholder survey. Some of the key personnel developed their databases from scratch. Some used listserves, and others tried a snowball email. To identify the best strategy that will inform these various stakeholders and the public regarding the science of climate change in the Great Lakes Region, a survey was developed for each of the different stakeholders. The survey is divided into three parts: 1) questions which convey some understanding of climate science and climate change 2) demographic questions, and finally 3) questions that pertain to the professional concerns or perspectives of the various stakeholders. This survey is being used to provide the project team with a "needs assessment" from the interested members of those stakeholders. The results from this process will be summarized.

  18. Climate Change Impacts on the Congo Basin Region

    NARCIS (Netherlands)

    Ludwig, F.; Franssen, W.; Jans, W.W.P.; Kruijt, B.; Supit, I.

    2012-01-01

    This report presents analyses of climate change impacts in the Congo Basin on water for agriculture and hydropower, forest ecosystem functioning and carbon storage and impacts of climate variability and change on future economic development. To quantify the impacts of future climate we developed a

  19. Safeguarding semi-arid regions from climate shocks | IDRC ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    2016-04-21

    Apr 21, 2016 ... The panel took place during the Our Common Future Under Climate Change conference, the largest climate science forum in advance of the COP21 climate summit. In the Indian tropics, knowledge gaps around social vulnerability still exist, said Andaleeb Rahman of the Indian Institute for Human ...

  20. Estimating the future agriculture freight transportation network needs due to climate change using remote sensing and regional climate models.

    Science.gov (United States)

    2016-12-01

    A reoccurring challenge with increasing fuel prices is optimization of multi- and inter-modal freight transport to move products most efficiently. Projections for the future of agriculture in the United States (U.S.) combined with regional climate mo...

  1. The Alpine snow-albedo feedback in regional climate models

    Science.gov (United States)

    Winter, Kevin J.-P. M.; Kotlarski, Sven; Scherrer, Simon C.; Schär, Christoph

    2017-02-01

    The effect of the snow-albedo feedback (SAF) on 2m temperatures and their future changes in the European Alps is investigated in the ENSEMBLES regional climate models (RCMs) with a focus on the spring season. A total of 14 re-analysis-driven RCM experiments covering the period 1961-2000 and 10 GCM-driven transient climate change projections for 1950-2099 are analysed. A positive springtime SAF is found in all RCMs, but the range of the diagnosed SAF is large. Results are compared against an observation-based SAF estimate. For some RCMs, values very close to this estimate are found; other models show a considerable overestimation of the SAF. Net shortwave radiation has the largest influence of all components of the energy balance on the diagnosed SAF and can partly explain its spatial variability. Model deficiencies in reproducing 2m temperatures above snow and ice and associated cold temperature biases at high elevations seem to contribute to a SAF overestimation in several RCMs. The diagnosed SAF in the observational period strongly influences the estimated SAF contribution to twenty first century temperature changes in the European Alps. This contribution is subject to a clear elevation dependency that is governed by the elevation-dependent change in the number of snow days. Elevations of maximum SAF contribution range from 1500 to 2000 m in spring and are found above 2000 m in summer. Here, a SAF contribution to the total simulated temperature change between 0 and 0.5 °C until 2099 (multi-model mean in spring: 0.26 °C) or 0 and 14 % (multi-model mean in spring: 8 %) is obtained for models showing a realistic SAF. These numbers represent a well-funded but only approximate estimate of the SAF contribution to future warming, and a remaining contribution of model-specific SAF misrepresentations cannot be ruled out.

  2. Midsummer Drought Pattern simulated by a coupled regional climate model

    Science.gov (United States)

    Martinez-Lopez, Benjamin; Cabos Narvaez, William David; Sein, Dmitry; Quintanar, Arturo

    2017-04-01

    In this work, a regional climate model of limited area, in both atmospheric and coupled mode, is used to simulate the historical period over a domain including Mexico and Central America. In the atmospheric mode, the REMO atmosphere model is used, while in the coupled simulation, REMO is coupled to the MPI-OM ocean model. In all simulations, REMO is driven at the open boundaries by reanalysis data from ERA-40. Several numerical experiments are performed using three different spatial resolutions (100 km, 50 km, and 25 km). Taylor diagrams of some meteorological and oceanic variables are used to get a quantitative idea of model performance. Additionally, the observed patterns of the Midsummer Drought are compared with the simulated ones. Among the results, it is noted that the coupled model with the highest resolution has the best performance to simulate the observed pattern of the Midsummer Drought. Over the eastern Pacific warm pool region, the coupled simulation generate fields of sea surface temperature, wind, and sea level pressure gradients more consistent with independent observations that those simulated in the atmospheric mode. In particular, the wind strengthened observed in July is well reproduced in the coupled simulation, which lead to higher values of vertically integrated water vapour transport coming from both the eastern tropical Pacific and the Caribbean. Despite the increased atmospheric humidity available above this region, the simulated fluxes are divergent and therefore the precipitation is reduced in July, in agreement with the observations. This July divergence in the vertically integrated water vapour transport is not present in the atmospheric mode.

  3. Using Climate Regionalization to Understand Climate Forecast System Version 2 (CFSv2) Precipitation Performance for the Conterminous United States (CONUS)

    Science.gov (United States)

    Regonda, Satish K.; Zaitchik, Benjamin F.; Badr, Hamada S.; Rodell, Matthew

    2016-01-01

    Dynamically based seasonal forecasts are prone to systematic spatial biases due to imperfections in the underlying global climate model (GCM). This can result in low-forecast skill when the GCM misplaces teleconnections or fails to resolve geographic barriers, even if the prediction of large-scale dynamics is accurate. To characterize and address this issue, this study applies objective climate regionalization to identify discrepancies between the Climate Forecast SystemVersion 2 (CFSv2) and precipitation observations across the Contiguous United States (CONUS). Regionalization shows that CFSv2 1 month forecasts capture the general spatial character of warm season precipitation variability but that forecast regions systematically differ from observation in some transition zones. CFSv2 predictive skill for these misclassified areas is systematically reduced relative to correctly regionalized areas and CONUS as a whole. In these incorrectly regionalized areas, higher skill can be obtained by using a regional-scale forecast in place of the local grid cell prediction.

  4. Southwest Regional Climate Hub and California Subsidiary Hub assessment of climate change vulnerability and adaptation and mitigation strategies

    Science.gov (United States)

    Emile Elias; Caiti Steele; Kris Havstad; Kerri Steenwerth; Jeanne Chambers; Helena Deswood; Amber Kerr; Albert Rango; Mark Schwartz; Peter Stine; Rachel Steele

    2015-01-01

    This report is a joint effort of the Southwest Regional Climate Hub and the California Subsidiary Hub (Sub Hub). The Southwest Regional Climate Hub covers Arizona, California, Hawai‘i and the U.S. affiliated Pacific Islands, Nevada, New Mexico, and Utah and contains vast areas of western rangeland, forests, and high-value specialty crops (Figure 1). The California Sub...

  5. Differentiated responses of apple tree floral phenology to global warming in contrasting climatic regions

    Directory of Open Access Journals (Sweden)

    Jean-Michel eLegave

    2015-12-01

    Full Text Available The responses of flowering phenology to temperature increases in temperate fruit trees have rarely been investigated in contrasting climatic regions. This is an appropriate framework for highlighting varying responses to diverse warming contexts, which would potentially combine chill accumulation declines and heat accumulation increases. To examine this issue, a data set was constituted in apple tree from flowering dates collected for two phenological stages of three cultivars in seven climate-contrasting temperate regions of Western Europe and in three mild regions, one in Northern Morocco and two in Southern Brazil. Multiple change-point models were applied to flowering date series, as well as to corresponding series of mean temperature during two successive periods, respectively determining for the fulfillment of chill and heat requirements. A new overview in space and time of flowering date changes was provided in apple tree highlighting not only flowering date advances as in previous studies but also stationary flowering date series. At global scale, differentiated flowering time patterns result from varying interactions between contrasting thermal determinisms of flowering dates and contrasting warming contexts. This may explain flowering date advances in most of European regions and in Morocco vs. stationary flowering date series in the Brazilian regions. A notable exception in Europe was found in the French Mediterranean region where the flowering date series was stationary. While the flowering duration series were stationary whatever the region, the flowering durations were far longer in mild regions compared to temperate regions. Our findings suggest a new warming vulnerability in temperate Mediterranean regions, which could shift towards responding more to chill decline and consequently experience late and extended flowering under future warming scenarios.

  6. Differentiated Responses of Apple Tree Floral Phenology to Global Warming in Contrasting Climatic Regions.

    Science.gov (United States)

    Legave, Jean-Michel; Guédon, Yann; Malagi, Gustavo; El Yaacoubi, Adnane; Bonhomme, Marc

    2015-01-01

    The responses of flowering phenology to temperature increases in temperate fruit trees have rarely been investigated in contrasting climatic regions. This is an appropriate framework for highlighting varying responses to diverse warming contexts, which would potentially combine chill accumulation (CA) declines and heat accumulation (HA) increases. To examine this issue, a data set was constituted in apple tree from flowering dates collected for two phenological stages of three cultivars in seven climate-contrasting temperate regions of Western Europe and in three mild regions, one in Northern Morocco and two in Southern Brazil. Multiple change-point models were applied to flowering date series, as well as to corresponding series of mean temperature during two successive periods, respectively determining for the fulfillment of chill and heat requirements. A new overview in space and time of flowering date changes was provided in apple tree highlighting not only flowering date advances as in previous studies but also stationary flowering date series. At global scale, differentiated flowering time patterns result from varying interactions between contrasting thermal determinisms of flowering dates and contrasting warming contexts. This may explain flowering date advances in most of European regions and in Morocco vs. stationary flowering date series in the Brazilian regions. A notable exception in Europe was found in the French Mediterranean region where the flowering date series was stationary. While the flowering duration series were stationary whatever the region, the flowering durations were far longer in mild regions compared to temperate regions. Our findings suggest a new warming vulnerability in temperate Mediterranean regions, which could shift toward responding more to chill decline and consequently experience late and extended flowering under future warming scenarios.

  7. Regional modelling of nitrate leaching from Swiss organic and conventional cropping systems under climate change

    Science.gov (United States)

    Calitri, Francesca; Necpalova, Magdalena; Lee, Juhwan; Zaccone, Claudio; Spiess, Ernst; Herrera, Juan; Six, Johan

    2016-04-01

    Organic cropping systems have been promoted as a sustainable alternative to minimize the environmental impacts of conventional practices. Relatively little is known about the potential to reduce NO3-N leaching through the large-scale adoption of organic practices. Moreover, the potential to mitigate NO3-N leaching and thus the N pollution under future climate change through organic farming remain unknown and highly uncertain. Here, we compared regional NO3-N leaching from organic and conventional cropping systems in Switzerland using a terrestrial biogeochemical process-based model DayCent. The objectives of this study are 1) to calibrate and evaluate the model for NO3-N leaching measured under various management practices from three experiments at two sites in Switzerland; 2) to estimate regional NO3-N leaching patterns and their spatial uncertainty in conventional and organic cropping systems (with and without cover crops) for future climate change scenario A1B; 3) to explore the sensitivity of NO3-N leaching to changes in soil and climate variables; and 4) to assess the nitrogen use efficiency for conventional and organic cropping systems with and without cover crops under climate change. The data for model calibration/evaluation were derived from field experiments conducted in Liebefeld (canton Bern) and Eschikon (canton Zürich). These experiments evaluated effects of various cover crops and N fertilizer inputs on NO3-N leaching. The preliminary results suggest that the model was able to explain 50 to 83% of the inter-annual variability in the measured soil drainage (RMSE from 12.32 to 16.89 cm y-1). The annual NO3-N leaching was also simulated satisfactory (RMSE = 3.94 to 6.38 g N m-2 y-1), although the model had difficulty to reproduce the inter-annual variability in the NO3-N leaching losses correctly (R2 = 0.11 to 0.35). Future climate datasets (2010-2099) from the 10 regional climate models (RCM) were used in the simulations. Regional NO3-N leaching

  8. Tropospheric aerosols radiation feedback on the climate of Pearl River Delta Region using an air quality model

    Science.gov (United States)

    Nduka, I. C.

    2016-12-01

    The Pearl River Delta (PRD) region, one of the most vibrant economic regions in China has been witnessing rapid population, economic and structural growth and development. It is also one of the regions mostly polluted with trace gases and particulates. Recent reviews show large uncertainties in climate modification studies, indicating the need for further investigations, such as the role of tropospheric aerosols on direct and indirect climate modification. The aim of this research is to appraise the impacts of tropospheric aerosols on the climate of PRD region. An integrated air quality downscale meteorology and air quality from regional scale (27km) to local scale (3km). The model will be evaluated for both meteorology and air quality by comparing model results with measurements. The radiative forcing of tropospheric aerosols will also be determined so as to estimate the feedbacks and impacts on the climate. This research, when completed, is expected to improve our understanding of tropospheric aerosol-cloud thermodynamic interactions at regional and local scales, thus enhancing our knowledge of the regional and local climate system, which is anticipated to provide critical references for formulating sustainable environment and air quality policies.

  9. Improving plot- and regional-scale crop models for simulating impacts of climate variability and extremes

    Science.gov (United States)

    Tao, F.; Rötter, R.

    2013-12-01

    Many studies on global climate report that climate variability is increasing with more frequent and intense extreme events1. There are quite large uncertainties from both the plot- and regional-scale models in simulating impacts of climate variability and extremes on crop development, growth and productivity2,3. One key to reducing the uncertainties is better exploitation of experimental data to eliminate crop model deficiencies and develop better algorithms that more adequately capture the impacts of extreme events, such as high temperature and drought, on crop performance4,5. In the present study, in a first step, the inter-annual variability in wheat yield and climate from 1971 to 2012 in Finland was investigated. Using statistical approaches the impacts of climate variability and extremes on wheat growth and productivity were quantified. In a second step, a plot-scale model, WOFOST6, and a regional-scale crop model, MCWLA7, were calibrated and validated, and applied to simulate wheat growth and yield variability from 1971-2012. Next, the estimated impacts of high temperature stress, cold damage, and drought stress on crop growth and productivity based on the statistical approaches, and on crop simulation models WOFOST and MCWLA were compared. Then, the impact mechanisms of climate extremes on crop growth and productivity in the WOFOST model and MCWLA model were identified, and subsequently, the various algorithm and impact functions were fitted against the long-term crop trial data. Finally, the impact mechanisms, algorithms and functions in WOFOST model and MCWLA model were improved to better simulate the impacts of climate variability and extremes, particularly high temperature stress, cold damage and drought stress for location-specific and large area climate impact assessments. Our studies provide a good example of how to improve, in parallel, the plot- and regional-scale models for simulating impacts of climate variability and extremes, as needed for

  10. The Regional Integrated Sciences and Assessments (RISA) Program, Climate Services, and Meeting the National Climate Change Adaptation Challenge

    Science.gov (United States)

    Overpeck, J. T.; Udall, B.; Miles, E.; Dow, K.; Anderson, C.; Cayan, D.; Dettinger, M.; Hartmann, H.; Jones, J.; Mote, P.; Ray, A.; Shafer, M.; White, D.

    2008-12-01

    The NOAA-led RISA Program has grown steadily to nine regions and a focus that includes both natural climate variability and human-driven climate change. The RISAs are, at their core, university-based and heavily invested in partnerships, particularly with stakeholders, NOAA, and other federal agencies. RISA research, assessment and partnerships have led to new operational climate services within NOAA and other agencies, and have become important foundations in the development of local, state and regional climate change adaptation initiatives. The RISA experience indicates that a national climate service is needed, and must include: (1) services prioritized based on stakeholder needs; (2) sustained, ongoing regional interactions with users, (3) a commitment to improve climate literacy; (4) support for assessment as an ongoing, iterative process; (5) full recognition that stakeholder decisions are seldom made using climate information alone; (6) strong interagency partnership; (7) national implementation and regional in focus; (8) capability spanning local, state, tribal, regional, national and international space scales, and weeks to millennia time scales; and (9) institutional design and scientific support flexible enough to assure the effort is nimble enough to respond to rapidly-changing stakeholder needs. The RISA experience also highlights the central role that universities must play in national climate change adaptation programs. Universities have a tradition of trusted regional stakeholder partnerships, as well as the interdisciplinary expertise - including social science, ecosystem science, law, and economics - required to meet stakeholder climate-related needs; project workforce can also shift rapidly in universities. Universities have a proven ability to build and sustain interagency partnerships. Universities excel in most forms of education and training. And universities often have proven entrepreneurship, technology transfer and private sector

  11. EXTENDING LKN CLIMATE REGIONALIZATION WITH SPATIAL REGULARIZATION: AN APPLICATION TO EPIDEMIOLOGICAL RESEARCH

    Directory of Open Access Journals (Sweden)

    A. Liss

    2016-06-01

    Full Text Available Regional climate is a critical factor in public health research, adaptation studies, climate change burden analysis, and decision support frameworks. Existing climate regionalization schemes are not well suited for these tasks as they rarely take population density into account. In this work, we are extending our recently developed method for automated climate regionalization (LKN-method to incorporate the spatial features of target population. The LKN method consists of the data limiting step (L-step to reduce dimensionality by applying principal component analysis, a classification step (K-step to produce hierarchical candidate regions using k-means unsupervised classification algorithm, and a nomination step (N-step to determine the number of candidate climate regions using cluster validity indexes. LKN method uses a comprehensive set of multiple satellite data streams, arranged as time series, and allows us to define homogeneous climate regions. The proposed approach extends the LKN method to include regularization terms reflecting the spatial distribution of target population. Such tailoring allows us to determine the optimal number and spatial distribution of climate regions and thus, to ensure more uniform population coverage across selected climate categories. We demonstrate how the extended LKN method produces climate regionalization can be better tailored to epidemiological research in the context of decision support framework.

  12. The influence of inter-annually varying albedo on regional climate and drought

    KAUST Repository

    Meng, Xianhong

    2013-05-05

    Albedo plays an important role in land-atmosphere interactions and local climate. This study presents the impact on simulating regional climate, and the evolution of a drought, when using the default climatological albedo as is usually done in regional climate modelling, or using the actual observed albedo which is rarely done. Here, time-varying satellite derived albedo data is used to update the lower boundary condition of the Weather Research and Forecasting regional climate model in order to investigate the influence of observed albedo on regional climate simulations and also potential changes to land-atmosphere feedback over south-east Australia. During the study period from 2000 to 2008, observations show that albedo increased with an increasingly negative precipitation anomaly, though it lagged precipitation by several months. Compared to in-situ observations, using satellite observed albedo instead of the default climatological albedo provided an improvement in the simulated seasonal mean air temperature. In terms of precipitation, both simulations reproduced the drought that occurred from 2002 through 2006. Using the observed albedo produced a drier simulation overall. During the onset of the 2002 drought, albedo changes enhanced the precipitation reduction by 20 % on average, over locations where it was active. The area experiencing drought increased 6.3 % due to the albedo changes. Two mechanisms for albedo changes to impact land-atmosphere drought feedback are investigated. One accounts for the increased albedo, leading to reduced turbulent heat flux and an associated decrease of moist static energy density in the planetary boundary layer; the other considers that enhanced local radiative heating, due to the drought, favours a deeper planetary boundary layer, subsequently decreasing the moist static energy density through entrainment of the free atmosphere. Analysis shows that drought related large-scale changes in the regional climate favour a

  13. Climate and chemistry effects of a regional scale nuclear conflict

    Directory of Open Access Journals (Sweden)

    A. Stenke

    2013-10-01

    Full Text Available Previous studies have highlighted the severity of detrimental effects for life on earth after an assumed regionally limited nuclear war. These effects are caused by climatic, chemical and radiative changes persisting for up to one decade. However, so far only a very limited number of climate model simulations have been performed, giving rise to the question how realistic previous computations have been. This study uses the coupled chemistry climate model (CCM SOCOL, which belongs to a different family of CCMs than previously used, to investigate the consequences of such a hypothetical nuclear conflict. In accordance with previous studies, the present work assumes a scenario of a nuclear conflict between India and Pakistan, each applying 50 warheads with an individual blasting power of 15 kt ("Hiroshima size" against the major population centers, resulting in the emission of tiny soot particles, which are generated in the firestorms expected in the aftermath of the detonations. Substantial uncertainties related to the calculation of likely soot emissions, particularly concerning assumptions of target fuel loading and targeting of weapons, have been addressed by simulating several scenarios, with soot emissions ranging from 1 to 12 Tg. Their high absorptivity with respect to solar radiation leads to a rapid self-lofting of the soot particles into the strato- and mesosphere within a few days after emission, where they remain for several years. Consequently, the model suggests earth's surface temperatures to drop by several degrees Celsius due to the shielding of solar irradiance by the soot, indicating a major global cooling. In addition, there is a substantial reduction of precipitation lasting 5 to 10 yr after the conflict, depending on the magnitude of the initial soot release. Extreme cold spells associated with an increase in sea ice formation are found during Northern Hemisphere winter, which expose the continental land masses of North

  14. Shifts in climate suitability for wine production as a result of climate change in a temperate climate wine region of Romania

    Science.gov (United States)

    Irimia, Liviu Mihai; Patriche, Cristian Valeriu; Quenol, Hervé; Sfîcă, Lucian; Foss, Chris

    2017-01-01

    Climate change is causing important shifts in the suitability of regions for wine production. Fine scale mapping of these shifts helps us to understand the evolution of vineyard climates, and to find solutions through viticultural adaptation. The aim of this study is to identify and map the structural and spatial shifts that occurred in the climatic suitability for wine production of the Cotnari wine growing region (Romania) between 1961 and 2013. Discontinuities in trends of temperature were identified, and the averages and trends of 13 climatic parameters for the 1961 to 1980 and 1981 to 2013 time periods were analysed. Using the averages of these climatic parameters, climate suitability for wine production was calculated at a resolution of 30 m and mapped for each time period, and the changes analysed. The results indicate shifts in the area's historic climatic profile, due to an increase of heliothermal resources and precipitation constancy. The area's climate suitability for wine production was modified by the loss of climate suitability for white table wines, sparkling wines and wine for distillates; shifts in suitability to higher altitudes by about 67 m, and a 48.6% decrease in the area suitable for quality white wines; and the occurrence of suitable climates for red wines at lower altitudes. The study showed that climate suitability for wine production has a multi-level spatial structure, with classes requiring a cooler climate being located at a higher altitude than those requiring a warmer climate. Climate change has therefore resulted in the shift of climate suitability classes for wine production to higher altitudes.

  15. Providing tailored climate information to forest fire stakeholders and end-users

    Science.gov (United States)

    Giannakopoulos, Christos; Kotroni, Vasso; Lagouvardos, Kostas; Korakaki, Evi; Hatzaki, Maria; Tenentes, Vassilis; Roussos, Anargyros; Karali, Anna; Goodess, Clare

    2013-04-01

    In EU project CLIMRUN, there has been a continuous interaction with stakeholders and end-users to develop new and improved tools to extract useful and useable information tailored to the needs of specific sectors. In this work, we review the provision of climate information services required in the Mediterranean country of Greece where forest fires represent a major hazard. Intense terrain, sparsely vegetated with typical Mediterranean flora makes Greece a fire prone environment. That, in addition to the abandonment of rural lands and extreme weather conditions due to climate change the last few decades, constitutes an issue of an annual cycle of catastrophe from forest fires. An iterative and bottom-up (i.e. stakeholder led) approach for optimizing the two-way information transfer between climate experts and stakeholders has been adopted from the start of the project with a workshop in Athens helping to define the framework for the forest fires case study. The main objectives of this workshop were to better understand who the wildfires stakeholders are and what they need from climate services. After the first workshop three main categories of stakeholders were identified: short term fire planners, long term policy makers and education stakeholders. To address the needs of these stakeholders' categories the following actions were taken: 1. In collaboration with the forecasting team at the National Observatory of Athens, an application providing fire risk forecasts for the following 3 days (http://cirrus.meteo.noa.gr/forecast/bolam/index.htm) was developed, to address the needs of short term fire planners. 2. A web-based application providing long term fire risk and other fire related indices changes due to climate change (time horizon up to 2050 and up to 2100) was developed in collaboration with the Greek WWF office, to address the needs of long term fire policy makers (http://www.oikoskopio.gr/map/). 3. Finally, an educational tool was built in order to

  16. Regional Climate Modeling over the Marmara Region, Turkey, with Improved Land Cover Data

    Science.gov (United States)

    Sertel, E.; Robock, A.

    2007-12-01

    Land surface controls the partitioning of available energy at the surface between sensible and latent heat,and controls partitioning of available water between evaporation and runoff. Current land cover data available within the regional climate models such as Regional Atmospheric Modeling System (RAMS), the Fifth-Generation NCAR/Penn State Mesoscale Model (MM5) and Weather Research and Forecasting (WRF) was obtained from 1- km Advanced Very High Resolution Radiometer satellite images spanning April 1992 through March 1993 with an unsupervised classification technique. These data are not up-to-date and are not accurate for all regions and some land cover types such as urban areas. Here we introduce new, up-to-date and accurate land cover data for the Marmara Region, Turkey derived from Landsat Enhanced Thematic Mapper images into the WRF regional climate model. We used several image processing techniques to create accurate land cover data from Landsat images obtained between 2001 and 2005. First, all images were atmospherically and radiometrically corrected to minimize contamination effects of atmospheric particles and systematic errors. Then, geometric correction was performed for each image to eliminate geometric distortions and define images in a common coordinate system. Finally, unsupervised and supervised classification techniques were utilized to form the most accurate land cover data yet for the study area. Accuracy assessments of the classifications were performed using error matrix and kappa statistics to find the best classification results. Maximum likelihood classification method gave the most accurate results over the study area. We compared the new land cover data with the default WRF land cover data. WRF land cover data cannot represent urban areas in the cities of Istanbul, Izmit, and Bursa. As an example, both original satellite images and new land cover data showed the expansion of urban areas into the Istanbul metropolitan area, but in the WRF

  17. The 21st century climate of the Alps: What can we learn from the latest generation of regional climate scenarios?

    Science.gov (United States)

    Kotlarski, Sven; Gobiet, Andreas; Frei, Prisco; Rajczak, Jan; Liniger, Mark A.

    2017-04-01

    The European Alps are a hot spot of climate change and related impacts. Due to their physiographic complexity and their location between distinct climatic zones, climate change and climate impact assessments in this region are challenging and often associated with substantial uncertainties. In particular, previous studies have highlighted the added value of high-resolution regional climate models (RCMs) to capture fine scale spatio-temporal Alpine climate variability and to assess climate change impacts for high elevation regions. We here exploit state-of-the-art regional climate scenarios available through the CORDEX initiative to assess 21st century climate change over the European Alps. The analyzed model ensemble consists of both high (12 km) and low resolution (50 km) experiments carried out by multiple RCMs which are, in turn, driven by multiple global climate models. Obvious RCM deficiencies in the Alpine area are identified. For instance, several RCMs tend to constantly accumulate snow cover at some isolated grid cells resulting in a distortion of the temperature change signal. Our analysis considers two different emission scenarios (RCP4.5 and RCP8.5). Besides seasonal mean changes in temperature and precipitation we particularly focus on changes in precipitation and temperature extremes as well as changes in parameters related to snow cover and snowfall. A dedicated spatial analysis combined with the assessment of elevation dependencies of climate change signals identifies regional hot spots of change. Robust and reliable aspects of projected climate change in the Alps are highlighted, and more uncertain but nevertheless important possible further changes are discussed in addition. The results largely confirm the findings of previous studies based on the ENSEMBLES experiments, but also yield a number of new insights. The projected increase of winter precipitation, for instance, appears to be stronger and more robust than previously known while potential

  18. Potential Effects of Climate Changes on Aquatic Systems: Laurentian Great Lakes and Precambrian Shield Region

    Science.gov (United States)

    Magnuson, J. J.; Webster, K. E.; Assel, R. A.; Bowser, C. J.; Dillon, P. J.; Eaton, J. G.; Evans, H. E.; Fee, E. J.; Hall, R. I.; Mortsch, L. R.; Schindler, D. W.; Quinn, F. H.

    1997-06-01

    increase but many complex reactions of the phytoplankton community to altered temperatures, thermocline depths, light penetrations and nutrient inputs would be expected. Zooplankton biomass would increase, but, again, many complex interactions are expected.Generally, the thermal habitat for warm-, cool- and even cold-water fishes would increase in size in deep stratified lakes, but would decrease in shallow unstratified lakes and in streams. Less dissolved oxygen below the thermocline of lakes would further degrade stratified lakes for cold water fishes. Growth and production would increase for fishes that are now in thermal environments cooler than their optimum but decrease for those that are at or above their optimum, provided they cannot move to a deeper or headwater thermal refuge. The zoogeographical boundary for fish species could move north by 500-600 km; invasions of warmer water fishes and extirpations of colder water fishes should increase. Aquatic ecosystems across the region do not necessarily exhibit coherent responses to climate changes and variability, even if they are in close proximity. Lakes, wetlands and streams respond differently, as do lakes of different depth or productivity. Differences in hydrology and the position in the hydrological flow system, in terrestrial vegetation and land use, in base climates and in the aquatic biota can all cause different responses. Climate change effects interact strongly with effects of other human-caused stresses such as eutrophication, acid precipitation, toxic chemicals and the spread of exotic organisms. Aquatic ecological systems in the region are sensitive to climate change and variation. Assessments of these potential effects are in an early stage and contain many uncertainties in the models and properties of aquatic ecological systems and of the climate system.

  19. Towards a regional strategy on adaptation to climate change in West ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    In June 2007, CCAA commissioned three studies to explore the potential for enhancing regional strategies on adaptation to climate change in three sub regions of Africa. The purpose of the studies is to:

  20. Ichthyoplankton Time Series: A Potential Ocean Observing Network to Provide Indicators of Climate Impacts on Fish Communities along the West Coast of North America

    Science.gov (United States)

    Koslow, J. A.; Brodeur, R.; Duffy-Anderson, J. T.; Perry, I.; jimenez Rosenberg, S.; Aceves, G.

    2016-02-01

    Ichthyoplankton time series available from the Bering Sea, Gulf of Alaska and California Current (Oregon to Baja California) provide a potential ocean observing network to assess climate impacts on fish communities along the west coast of North America. Larval fish abundance reflects spawning stock biomass, so these data sets provide indicators of the status of a broad range of exploited and unexploited fish populations. Analyses to date have focused on individual time series, which generally exhibit significant change in relation to climate. Off California, a suite of 24 midwater fish taxa have declined > 60%, correlated with declining midwater oxygen concentrations, and overall larval fish abundance has declined 72% since 1969, a trend based on the decline of predominantly cool-water affinity taxa in response to warming ocean temperatures. Off Oregon, there were dramatic differences in community structure and abundance of larval fishes between warm and cool ocean conditions. Midwater deoxygenation and warming sea surface temperature trends are predicted to continue as a result of global climate change. US, Canadian, and Mexican fishery scientists are now collaborating in a virtual ocean observing network to synthesize available ichthyoplankton time series and compare patterns of change in relation to climate. This will provide regional indicators of populations and groups of taxa sensitive to warming, deoxygenation and potentially other stressors, establish the relevant scales of coherence among sub-regions and across Large Marine Ecosystems, and provide the basis for predicting future climate change impacts on these ecosystems.

  1. Geospatial Analysis Tool Kit for Regional Climate Datasets (GATOR) : An Open-source Tool to Compute Climate Statistic GIS Layers from Argonne Climate Modeling Results

    Science.gov (United States)

    2017-08-01

    Model for Mapping Climatological Precipitation over Mountainous Terrain. Journal of Applied Meteorology 33:140–158, doi:10.1175/1520- 0450(1994)033򒡌...climate model in near-surface fields over the contiguous United States, Journal of Geophysical Research, Atmosphere, 119, 8778–8797, doi:10.1002...Using the Nested Regional Climate Model (NRCM), Journal of Applied Meteorology and Climatology, 52, 1576–1591. 28 Appendix A: Climate Modeling

  2. The North American Regional Climate Change Assessment Program: Overview of Phase I Results

    Energy Technology Data Exchange (ETDEWEB)

    Mearns, L. O.; Arritt, R.; Biner, S.; Bukovsky, Melissa; McGinnis, Seth; Sain, Steve; Caya, Daniel; Correia Jr., James; Flory, Dave; Gutowski, William; Takle, Gene; Jones, Richard; Leung, Lai-Yung R.; Moufouma-Okia, Wilfran; McDaniel, Larry; Nunes, A.; Qian, Yun; Roads, J.; Sloan, Lisa; Snyder, Mark A.

    2012-09-20

    The North American Regional Climate Change Assessment Program is an international effort designed to systematically investigate the uncertainties in regional scale projections of future climate and produce high resolution climate change scenarios using multiple regional climate models (RCMs) nested within atmosphere ocean general circulation models (AOGCMs) forced with the A2 SRES scenario, with a common domain covering the conterminous US, northern Mexico, and most of Canada. The program also includes an evaluation component (Phase I) wherein the participating RCMs are nested within 25 years of NCEP/DOE global reanalysis II. The grid spacing of the RCM simulations is 50 km.

  3. Fostering a supportive moral climate for health care providers: Toward cultural safety and equity

    Directory of Open Access Journals (Sweden)

    Adel F. Almutairi

    Full Text Available In Western forms of health care delivery around the globe, research tells us that nurses experience excessive workloads as they face increasingly complex needs in the populations they serve, professional conflicts, and alienation from leadership in health care bureaucracies. These problems are practical and ethical as well as cultural. Cultural conflicts can arise when health care providers and the populations they serve come from diverse economic, ethnic, and cultural backgrounds. The purpose in this paper is to draw from Almutairi’s research with health care teams in Saudi Arabia to show the complexity of culturally and morally laden interactions between health care providers and patients and their families. Then, I will argue for interventions that promote social justice and cultural safety for nurses, other health care providers, and the individuals, families, and communities they serve. This will include addressing international implications for nursing practice, leadership, policy and research. Keywords: Moral climate, Social justice, Equity, Cultural diversity

  4. Regional Climate Enterprises in the South Central U.S.: Crossover Relationships to Maximize User Engagement Effectiveness

    Science.gov (United States)

    Langston, M. A.; Shafer, M.; Bartush, B.; Brown, D. P.

    2016-12-01

    Several Federal agencies have recently established regional enterprises that provide climate science and services. These include DOI's Climate Science Centers (CSCs), USDA's Regional Climate Hubs (Hubs), DOI's Landscape Conservation Cooperatives (LCCs), and NOAA's Regional Integrated Sciences and Assessments Programs (RISAs), all of which have missions that include translating climate information for various constituencies and user groups. Each of these organizations makes a unique contribution to the regional climate services landscape; however, the potential for duplication of effort is also present. To ensure that appropriate levels of programmatic coordination are taking place, these entities have developed roles and relationships that crossover between organizations. These efforts have typically not been formally codified or prescribed; rather, they have developed organically and effectively in a fashion appropriate for the regional context. In this presentation, both advantages and disadvantages of this approach are addressed via examples from the South Central U.S. Advantages include flexibility and the development of extensive, multi-disciplinary networks; disadvantages include the lack of a holistic approach to oversight and planning. Best practices and opportunities to continue strengthening cross-organizational regional efficiencies are also highlighted.

  5. Use of regional climate model simulations as an input for hydrological models for the Hindukush-Karakorum-Himalaya region

    NARCIS (Netherlands)

    Akhtar, M.; Ahmad, N.; Booij, Martijn J.

    2009-01-01

    The most important climatological inputs required for the calibration and validation of hydrological models are temperature and precipitation that can be derived from observational records or alternatively from regional climate models (RCMs). In this paper, meteorological station observations and

  6. Climate Change in Alpine Regions - Regional Characteristics of a Global Phenomenon by the Example of Air Temperature

    Science.gov (United States)

    Lang, Erich; Stary, Ulrike

    2017-04-01

    For nearly 50 years the Austrian Research Centre for Forests (BFW) has been engaged in research in the Alpine region recording measuring data at extreme sites. Data series of this duration provide already a good insight into the evolution of climate parameters. Extrapolations derived from it are suitable for comparison with results from climate change models or supplement them with regard to their informative value. This is useful because climate change models describe a simplified picture of reality based on the size of the data grid they use. Analysis of time series of two air temperature measuring stations in different torrent catchment areas indicate that 1) predictions of temperature rise for the Alpine region in Austria will have to be revised upwards, and 2) only looking at the data of seasons (or shorter time periods), reveals the real dramatic effect of climate change. Considering e.g. the annual average data of air temperature of the years 1969-2016 at the climate station "Fleissner" (altitude 1210m a.s.l; Upper Mölltal, Carinthia) a significant upward trend is visible. Using a linear smoothing function an increase of the average annual air temperature of about 2.2°C within 50 years emerges. The calculated temperature rise thus confirms the general fear of an increase of more than 2.0°C till the middle of the 21st century. Looking at the seasonal change of air temperature, significant positive trends are shown in all four seasons. But the level of the respective temperature increase varies considerably and indicates the highest increase in spring (+3.3°C), and the lowest one in autumn (+1.3°C, extrapolated for a time period of 50 years). The maximum increase of air temperature at the measuring station "Pumpenhaus" (altitude 980m a.s.l), which is situated in the "Karnische Alpen" in the south of Austria, is even stronger. From a time series of 28 years (with data recording starting in 1989) the maximum rise of temperature was 5.4°C detected for the

  7. An evaluation of temperature and precipitation from global and regional climate models over Scandinavia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-07-01

    Precipitation and temperature from global (GCMs) and regional (RCMs) climate models are compared with reanalysis and observations over Scandinavia. Also projections for the next 50-100 years are considered. The climate development is visualised as moving averages (1920-2100). Box plots are used to illuminate how well GCM runs capture the observed seasonal cycle. Maps show the seasonal difference between results from control runs (RCM) and observations (E-OBS dataset) for the reference period 1981-2000. Plots illustrate the RCM-representation of seasonal temperature and precipitations cycle for five locations in Norway and Sweden: Oslo, Bergen, Trondheim, Tromsoe and Oestersund. The results show rather large differences between control runs and observations, demonstrating the need for bias correction of results from climate models. To get an indicator of which GC M-RCM-combination give the best representation of present climate over Scandinavia, a model ranking is provided. The performance measure used is the root-mean-square deviation of mean monthly and seasonal values. The data is compared both in an area-weighted spatial average of the whole domain as well as for the selected locations. The results indicate that the regional models RACMO2 and RCA show the smallest deviations from observed climate. Among the top ranking GCM-RCM combinations, most were driven by the global model ECHAM5 and some by a version of HadCM3. These two GCMs are also present among the worst performing GCM-RCM combinations indicating that selection of RCMs is crucial. (Author)

  8. THE EVOLUTION OF ANNUAL MEAN TEMPERATURE AND PRECIPITATION QUANTITY VARIABILITY BASED ON ESTIMATED CHANGES BY THE REGIONAL CLIMATIC MODELS

    Directory of Open Access Journals (Sweden)

    Paula Furtună

    2013-03-01

    Full Text Available Climatic changes are representing one of the major challenges of our century, these being forcasted according to climate scenarios and models, which represent plausible and concrete images of future climatic conditions. The results of climate models comparison regarding future water resources and temperature regime trend can become a useful instrument for decision makers in choosing the most effective decisions regarding economic, social and ecologic levels. The aim of this article is the analysis of temperature and pluviometric variability at the closest grid point to Cluj-Napoca, based on data provided by six different regional climate models (RCMs. Analysed on 30 year periods (2001-2030,2031-2060 and 2061-2090, the mean temperature has an ascending general trend, with great varability between periods. The precipitation expressed trough percentage deviation shows a descending general trend, which is more emphazied during 2031-2060 and 2061-2090.

  9. Combined effects of global climate change and regional ecosystem drivers on an exploited marine food web

    DEFF Research Database (Denmark)

    Niiranen, S.; Yletyinen, J.; Tomczak, M.T.

    2013-01-01

    approach to project how the interaction of climate, nutrient loads, and cod fishing may affect the future of the open Central Baltic Sea food web. Regionally downscaled global climate scenarios were, in combination with three nutrient load scenarios, used to drive an ensemble of three regional...

  10. Capturing subregional variability in regional-scale climate change vulnerability assessments of natural resources

    Science.gov (United States)

    Polly C. Buotte; David L. Peterson; Kevin S. McKelvey; Jeffrey A. Hicke

    2016-01-01

    Natural resource vulnerability to climate change can depend on the climatology and ecological conditions at a particular site. Here we present a conceptual framework for incorporating spatial variability in natural resource vulnerability to climate change in a regional-scale assessment. The framework was implemented in the first regional-scale vulnerability...

  11. Linking the uncertainty of low frequency variability in tropical forcing in regional climate change

    Energy Technology Data Exchange (ETDEWEB)

    Forest, Chris E. [Pennsylvania State Univ., University Park, PA (United States). Dept. of Meteorology; Barsugli, Joseph J. [Univ. of Colorado, Boulder, CO (United States). CIRES; Li, Wei [Pennsylvania State Univ., University Park, PA (United States). Dept. of Meteorology

    2015-02-20

    The project utilizes multiple atmospheric general circulation models (AGCMs) to examine the regional climate sensitivity to tropical sea surface temperature forcing through a series of ensemble experiments. The overall goal for this work is to use the global teleconnection operator (GTO) as a metric to assess the impact of model structural differences on the uncertainties in regional climate variability.

  12. Bias correction methods for regional climate model simulations considering the distributional parametric uncertainty underlying the observations

    Science.gov (United States)

    Kim, Kue Bum; Kwon, Hyun-Han; Han, Dawei

    2015-11-01

    In this paper, we present a comparative study of bias correction methods for regional climate model simulations considering the distributional parametric uncertainty underlying the observations/models. In traditional bias correction schemes, the statistics of the simulated model outputs are adjusted to those of the observation data. However, the model output and the observation data are only one case (i.e., realization) out of many possibilities, rather than being sampled from the entire population of a certain distribution due to internal climate variability. This issue has not been considered in the bias correction schemes of the existing climate change studies. Here, three approaches are employed to explore this issue, with the intention of providing a practical tool for bias correction of daily rainfall for use in hydrologic models ((1) conventional method, (2) non-informative Bayesian method, and (3) informative Bayesian method using a Weather Generator (WG) data). The results show some plausible uncertainty ranges of precipitation after correcting for the bias of RCM precipitation. The informative Bayesian approach shows a narrower uncertainty range by approximately 25-45% than the non-informative Bayesian method after bias correction for the baseline period. This indicates that the prior distribution derived from WG may assist in reducing the uncertainty associated with parameters. The implications of our results are of great importance in hydrological impact assessments of climate change because they are related to actions for mitigation and adaptation to climate change. Since this is a proof of concept study that mainly illustrates the logic of the analysis for uncertainty-based bias correction, future research exploring the impacts of uncertainty on climate impact assessments and how to utilize uncertainty while planning mitigation and adaptation strategies is still needed.

  13. CLIMATIC SIGNALS FROM INTRA-ANNUAL DENSITY FLUCTUATION FREQUENCY IN MEDITERRANEAN PINES AT A REGIONAL SCALE

    Directory of Open Access Journals (Sweden)

    Enrica eZalloni

    2016-05-01

    Full Text Available Tree rings provide information about the climatic conditions during the growing season by recording them in different anatomical features, such as Intra-Annual Density Fluctuations (IADFs. IADFs are intra-annual changes of wood density appearing as latewood-like cells within earlywood, or earlywood-like cells within latewood. The occurrence of IADFs is dependent on the age and size of the tree, and it is triggered by climatic drivers. The variations of IADF frequency of different species and their dependence on climate across a wide geographical range have still to be explored. The objective of this study is to investigate the effect of age, tree-ring width and climate on IADF formation and frequency at a regional scale across the Mediterranean Basin in Pinus halepensis Mill., Pinus pinaster Ait. and Pinus pinea L. The analyzed tree-ring network was composed of P. pinea trees growing at 11 sites (2 in Italy, 4 in Spain and 4 in Portugal, P. pinaster from 19 sites (2 in Italy, 13 in Spain and 4 in Portugal, and P. halepensis from 38 sites in Spain. The correlations between IADF frequency and monthly minimum, mean and maximum temperatures, as well as between IADF frequency and total precipitation, were analyzed. A significant negative relationship between IADF frequency and tree-ring age was found for the three Mediterranean pines. Moreover, IADFs were more frequent in wider rings than in narrower ones, although the widest rings showed a reduced IADF frequency. Wet conditions during late summer/early autumn triggered the formation of IADFs in the three species. Our results suggest the existence of a common climatic driver for the formation of IADFs in Mediterranean pines, highlighting the potential use of IADF frequency as a proxy for climate reconstructions with geographical resolution.

  14. Climatic Signals from Intra-annual Density Fluctuation Frequency in Mediterranean Pines at a Regional Scale.

    Science.gov (United States)

    Zalloni, Enrica; de Luis, Martin; Campelo, Filipe; Novak, Klemen; De Micco, Veronica; Di Filippo, Alfredo; Vieira, Joana; Nabais, Cristina; Rozas, Vicente; Battipaglia, Giovanna

    2016-01-01

    Tree rings provide information about the climatic conditions during the growing season by recording them in different anatomical features, such as intra-annual density fluctuations (IADFs). IADFs are intra-annual changes of wood density appearing as latewood-like cells within earlywood, or earlywood-like cells within latewood. The occurrence of IADFs is dependent on the age and size of the tree, and it is triggered by climatic drivers. The variations of IADF frequency of different species and their dependence on climate across a wide geographical range have still to be explored. The objective of this study is to investigate the effect of age, tree-ring width and climate on IADF formation and frequency at a regional scale across the Mediterranean Basin in Pinus halepensis Mill., Pinus pinaster Ait., and Pinus pinea L. The analyzed tree-ring network was composed of P. pinea trees growing at 10 sites (2 in Italy, 4 in Spain, and 4 in Portugal), P. pinaster from 19 sites (2 in Italy, 13 in Spain, and 4 in Portugal), and P. halepensis from 38 sites in Spain. The correlations between IADF frequency and monthly minimum, mean and maximum temperatures, as well as between IADF frequency and total precipitation, were analyzed. A significant negative relationship between IADF frequency and tree-ring age was found for the three Mediterranean pines. Moreover, IADFs were more frequent in wider rings than in narrower ones, although the widest rings showed a reduced IADF frequency. Wet conditions during late summer/early autumn triggered the formation of IADFs in the three species. Our results suggest the existence of a common climatic driver for the formation of IADFs in Mediterranean pines, highlighting the potential use of IADF frequency as a proxy for climate reconstructions with geographical resolution.

  15. Air-sea exchange over Black Sea estimated from high resolution regional climate simulations

    Science.gov (United States)

    Velea, Liliana; Bojariu, Roxana; Cica, Roxana

    2013-04-01

    Black Sea is an important influencing factor for the climate of bordering countries, showing cyclogenetic activity (Trigo et al, 1999) and influencing Mediterranean cyclones passing over. As for other seas, standard observations of the atmosphere are limited in time and space and available observation-based estimations of air-sea exchange terms present quite large ranges of uncertainty. The reanalysis datasets (e.g. ERA produced by ECMWF) provide promising validation estimates of climatic characteristics against the ones in available climatic data (Schrum et al, 2001), while cannot reproduce some local features due to relatively coarse horizontal resolution. Detailed and realistic information on smaller-scale processes are foreseen to be provided by regional climate models, due to continuous improvements of physical parameterizations and numerical solutions and thus affording simulations at high spatial resolution. The aim of the study is to assess the potential of three regional climate models in reproducing known climatological characteristics of air-sea exchange over Black Sea, as well as to explore the added value of the model compared to the input (reanalysis) data. We employ results of long-term (1961-2000) simulations performed within ENSEMBLE project (http://ensemblesrt3.dmi.dk/) using models ETHZ-CLM, CNRM-ALADIN, METO-HadCM, for which the integration domain covers the whole area of interest. The analysis is performed for the entire basin for several variables entering the heat and water budget terms and available as direct output from the models, at seasonal and annual scale. A comparison with independent data (ERA-INTERIM) and findings from other studies (e.g. Schrum et al, 2001) is also presented. References: Schrum, C., Staneva, J., Stanev, E. and Ozsoy, E., 2001: Air-sea exchange in the Black Sea estimated from atmospheric analysis for the period 1979-1993, J. Marine Systems, 31, 3-19 Trigo, I. F., T. D. Davies, and G. R. Bigg (1999): Objective

  16. Regional climates in the GISS general circulation model: Surface air temperature

    Science.gov (United States)

    Hewitson, Bruce

    1994-01-01

    One of the more viable research techniques into global climate change for the purpose of understanding the consequent environmental impacts is based on the use of general circulation models (GCMs). However, GCMs are currently unable to reliably predict the regional climate change resulting from global warming, and it is at the regional scale that predictions are required for understanding human and environmental responses. Regional climates in the extratropics are in large part governed by the synoptic-scale circulation and the feasibility of using this interscale relationship is explored to provide a way of moving to grid cell and sub-grid cell scales in the model. The relationships between the daily circulation systems and surface air temperature for points across the continental United States are first developed in a quantitative form using a multivariate index based on principal components analysis (PCA) of the surface circulation. These relationships are then validated by predicting daily temperature using observed circulation and comparing the predicted values with the observed temperatures. The relationships predict surface temperature accurately over the major portion of the country in winter, and for half the country in summer. These relationships are then applied to the surface synoptic circulation of the Goddard Institute for Space Studies (GISS) GCM control run, and a set of surface grid cell temperatures are generated. These temperatures, based on the larger-scale validated circulation, may now be used with greater confidence at the regional scale. The generated temperatures are compared to those of the model and show that the model has regional errors of up to 10 C in individual grid cells.

  17. Climate services for adapting landslide hazard prevention measures in the Vrancea Seismic Region

    Science.gov (United States)

    Micu, Dana; Balteanu, Dan; Jurchescu, Marta; Sima, Mihaela; Micu, Mihai

    2014-05-01

    The Vrancea Seismic Region is covering an area of about 8 000 km2 in the Romanian Curvature Carpathians and Subcarpathians and it is considered one of Europe's most intensely multi-hazard-affected areas. Due to its geomorphic traits (heterogeneous morphostructural units of flysch mountains and molasse hills and depressions), the area is strongly impacted by extreme hydro-meteorological events which are potentially enhancing the numerous damages inflicted to a dense network of human settlements. An a priori knowledge of future climate change is a useful climate service for local authorities to develop regional adapting strategies and adequate prevention/preparedness frameworks. This paper aims at integrating the results of the high-resolution climate projections over the 21st century (within the FP7 ECLISE project) into the regional landslide hazard assessment. The requirements of users (Civil Protection, Land management, local authorities) for this area refer to reliable and high-resolution spatial data on landslide and flood hazard for short and medium-term risk management strategies. An insight into the future behavior of climate variability in the Vrancea Seismic Region, based on future climate projections of three regional models, under three RCPs (2.6, 4.5, 8.6), suggests a clear warming, both annually and seasonally and a rather limited annual precipitation decrease, but with a strong change of seasonality. A landslide inventory of 2485 cases (shallow and medium seated earth, debris and rock slides and earth and debris flows) was obtained based on large scale geomorphological mapping and aerial photos support (GeoEye, DigitalGlobe; provided by GoogleEarth and BingMaps). The landslides are uniformly distributed across the area, being considered representative for the entire morphostructural environment. Landslide susceptibility map was obtained using multivariate statistical analysis (logistic regression), while a relative landslide hazard index was computed

  18. Climate fails to predict wood decomposition at regional scales

    Science.gov (United States)

    Mark A. Bradford; Robert J. Warren; Petr Baldrian; Thomas W. Crowther; Daniel S. Maynard; Emily E. Oldfield; William R. Wieder; Stephen A. Wood; Joshua R. King

    2014-01-01

    Decomposition of organic matter strongly influences ecosystem carbon storage1. In Earth-system models, climate is a predominant control on the decomposition rates of organic matter2, 3, 4, 5. This assumption is based on the mean response of decomposition to climate, yet there is a growing appreciation in other areas of global change science that projections based on...

  19. Delineation of climate regions in the Northeastern United States

    Science.gov (United States)

    Arthur T. DeGaetano

    1996-01-01

    Climate is a primary criterion for the development, description and validation of subregional levels of the National Hierarchical Framework of Ecological Units. However, climate information is not currently available in the form or level of detail required for integration with other biophysical factors at the section or subsection levels. In this study, historical...

  20. Strong biotic influences on regional patterns of climate regulation services

    NARCIS (Netherlands)

    Serna-Chavez, H.M.; Swenson, N.G.; Weiser, M.D.; van Loon, E.E.; Bouten, W.; Davidson, M.D.; van Bodegom, P.M.

    2017-01-01

    Climate regulation services from forests are an important leverage in global-change mitigation treaties. Like most ecosystem services, climate regulation is the product of various ecological phenomena with unique spatial features. Elucidating which abiotic and biotic factors relate to spatial

  1. Conditioning model output statistics of regional climate model precipitation on circulation patterns

    Directory of Open Access Journals (Sweden)

    F. Wetterhall

    2012-11-01

    Full Text Available Dynamical downscaling of Global Climate Models (GCMs through regional climate models (RCMs potentially improves the usability of the output for hydrological impact studies. However, a further downscaling or interpolation of precipitation from RCMs is often needed to match the precipitation characteristics at the local scale. This study analysed three Model Output Statistics (MOS techniques to adjust RCM precipitation; (1 a simple direct method (DM, (2 quantile-quantile mapping (QM and (3 a distribution-based scaling (DBS approach. The modelled precipitation was daily means from 16 RCMs driven by ERA40 reanalysis data over the 1961–2000 provided by the ENSEMBLES (ENSEMBLE-based Predictions of Climate Changes and their Impacts project over a small catchment located in the Midlands, UK. All methods were conditioned on the entire time series, separate months and using an objective classification of Lamb's weather types. The performance of the MOS techniques were assessed regarding temporal and spatial characteristics of the precipitation fields, as well as modelled runoff using the HBV rainfall-runoff model. The results indicate that the DBS conditioned on classification patterns performed better than the other methods, however an ensemble approach in terms of both climate models and downscaling methods is recommended to account for uncertainties in the MOS methods.

  2. Impacts on regional climate of an afforestation scenario under a +2°C global warming climate

    Science.gov (United States)

    Strada, Susanna; Noblet-Ducoudré Nathalie, de; Marc, Stéfanon

    2017-04-01

    Through surface-atmosphere interactions (SAI), land-use and land-cover changes (LULCCs) alter atmospheric conditions with effects on climate at different scales, from local/regional (a few ten kilometres) (Pielke et al., 2011) to global scales (a few hundred kilometres) (Mahmood et al., 2014). Focusing on the regional scale, in the context of climate change, LULCCs may either enhance or dampen climate impacts via changes in SAI they may initiate. Those LULCC-driven atmospheric impacts could in turn influence e.g. the functioning of terrestrial ecosystems, with consequences on mitigation and adaptation strategies. Despite LULCC impacts on regional climate are largely discussed in the literature, in Europe information is missing on LULCC impacts under future climate conditions on a country scale (Galos et al., 2015). The latest COPs have urged the scientific community to explore the impacts of reduced global warming (1.5°C to a +2°C) on the Earth system. LULCCs will be one major tool to achieve such targets. In this framework, we investigate impacts on regional climate of a modified landscape under a +2°C climatic scenario. To this purpose, we performed sensitivity studies over western Europe with a fully coupled land-atmosphere regional climate model, WRF-ORCHIDEE (Drobinski et al., 2012, Stefanon et al., 2014). A +2°C scenario was selected among those proposed by the "Impact2C" project (Vautard et al., 2014), and the afforested land-cover scenario proposed in the RCP4.5 is prescribed. We have chosen the maximum extent of forest RCP4.5 simulates for Europe at the end of the 21st century. WRF-ORCHIDEE is fed with boundary atmospheric conditions from the global climate model LMDZ for PD (1971-2000) and the +2°C warming period for the LMDZ model (2028-2057). Preliminary results over the target domain show that, under a +2°C global warming scenario, afforestation contributes by 2% to the total warming due to both climate change and LULCCs. During summer, the

  3. Ask the climate question : adapting to climate change impacts in urban regions

    Science.gov (United States)

    2009-06-01

    As the first responders to the impacts of climate change, local governments play a crucial role in implementing the actions and strategies that will reduce their communities vulnerability to the dangers of a changing climate. This type of action o...

  4. Architecture of a spatial data service system for statistical analysis and visualization of regional climate changes

    Science.gov (United States)

    Titov, A. G.; Okladnikov, I. G.; Gordov, E. P.

    2017-11-01

    The use of large geospatial datasets in climate change studies requires the development of a set of Spatial Data Infrastructure (SDI) elements, including geoprocessing and cartographical visualization web services. This paper presents the architecture of a geospatial OGC web service system as an integral part of a virtual research environment (VRE) general architecture for statistical processing and visualization of meteorological and climatic data. The architecture is a set of interconnected standalone SDI nodes with corresponding data storage systems. Each node runs a specialized software, such as a geoportal, cartographical web services (WMS/WFS), a metadata catalog, and a MySQL database of technical metadata describing geospatial datasets available for the node. It also contains geospatial data processing services (WPS) based on a modular computing backend realizing statistical processing functionality and, thus, providing analysis of large datasets with the results of visualization and export into files of standard formats (XML, binary, etc.). Some cartographical web services have been developed in a system’s prototype to provide capabilities to work with raster and vector geospatial data based on OGC web services. The distributed architecture presented allows easy addition of new nodes, computing and data storage systems, and provides a solid computational infrastructure for regional climate change studies based on modern Web and GIS technologies.

  5. On-line Education Initiatives to Galvanize Climate Mitigation in the Great Lakes Region

    Science.gov (United States)

    Mooney, M. E.; Ackerman, S. A.

    2014-12-01

    The Cooperative Institute for Meteorological Satellite Studies (CIMSS) is supporting two different on-line education initiatives that teach about climate change while emphasizing informed and effective responses. The first is an on-line introductory level course for undergraduate students (http://c3.ssec.wisc.edu/) offered through the University of Wisconsin-Madison Atmospheric and Oceanic Sciences (AOS) department. Along with a lighter carbon footprint and the convenience of web-based access, students interact via Drupal forums, Google hangouts and twitter. Activities include several pedagogical tools with sustainability-related content and a final project requiring a discussion of regionally relevant mitigation responses to achieve low emission scenarios for assigned locations. The other initiative is a MOOC (massive open online course) focusing on the changing weather and climate in the Great Lakes Region. This 4-week course is set to launch February 23 2015. One of the primary goals of this MOOC will be having participants change four habits, one per week. Each behavior change will provide a personal benefit to participating individuals while also helping to mitigate the collective impacts of climate change. This presentation will share strategies and insights from both projects.

  6. Climate change projections of medicanes with a large multi-model ensemble of regional climate models

    Science.gov (United States)

    Romera, Raquel; Gaertner, Miguel Ángel; Sánchez, Enrique; Domínguez, Marta; González-Alemán, Juan Jesús; Miglietta, Mario Marcello

    2017-04-01

    Cyclones with tropical characteristics, usually called medicanes, occasionally develop over the Mediterranean Sea. Possible future changes of medicanes are a matter of concern due to their large damage potential. Here we analyse a large set of climate change projections with regional climate models (RCMs) from the ENSEMBLES project. The aim is to increase our knowledge about the future evolution of medicanes, advancing previous studies along several important lines: use of a large ensemble of RCMs, nested in many different GCMs, and covering a long continuous time period (up to 150 years). The main overall results are a future reduction in the number of medicanes and an increase in the intensity of the strongest medicanes, in agreement with other studies. But the large size of the ensemble reveals some important model-related uncertainties. The frequency decrease is not statistically significant in many of the subset of simulations that extend to 2100, with two simulations even showing no frequency decrease at all. Large decadal changes affect the frequency of medicanes, emphasizing the need for long period simulations. The increase in extreme intensity shows a clear dependence on the GCM driving the simulations. In contrast to the overall results, a few simulations also show changes in the monthly distribution of medicanes, with less winter cases and more autumn and late summer cases. Some environmental variables have been explored in an attempt to offer physical explanations for these results. A plausible reason for the overall decrease of the frequency of medicanes is the projected increase in vertical static stability of the atmosphere. A relevant result is that the general and clear increase in average static stability is unable to stop several simulations projecting higher maximum winds in the future. This could indicate that the increased SST and latent heat fluxes may overcome the limitation of a higher overall static stability, if favourable conditions for

  7. Improvement of snowpack simulations in a regional climate model

    Energy Technology Data Exchange (ETDEWEB)

    Jin, J.; Miller, N.L.

    2011-01-10

    To improve simulations of regional-scale snow processes and related cold-season hydroclimate, the Community Land Model version 3 (CLM3), developed by the National Center for Atmospheric Research (NCAR), was coupled with the Pennsylvania State University/NCAR fifth-generation Mesoscale Model (MM5). CLM3 physically describes the mass and heat transfer within the snowpack using five snow layers that include liquid water and solid ice. The coupled MM5–CLM3 model performance was evaluated for the snowmelt season in the Columbia River Basin in the Pacific Northwestern United States using gridded temperature and precipitation observations, along with station observations. The results from MM5–CLM3 show a significant improvement in the SWE simulation, which has been underestimated in the original version of MM5 coupled with the Noah land-surface model. One important cause for the underestimated SWE in Noah is its unrealistic land-surface structure configuration where vegetation, snow and the topsoil layer are blended when snow is present. This study demonstrates the importance of the sheltering effects of the forest canopy on snow surface energy budgets, which is included in CLM3. Such effects are further seen in the simulations of surface air temperature and precipitation in regional weather and climate models such as MM5. In addition, the snow-season surface albedo overestimated by MM5–Noah is now more accurately predicted by MM5–CLM3 using a more realistic albedo algorithm that intensifies the solar radiation absorption on the land surface, reducing the strong near-surface cold bias in MM5–Noah. The cold bias is further alleviated due to a slower snowmelt rate in MM5–CLM3 during the early snowmelt stage, which is closer to observations than the comparable components of MM5–Noah. In addition, the over-predicted precipitation in the Pacific Northwest as shown in MM5–Noah is significantly decreased in MM5 CLM3 due to the lower evaporation resulting from the

  8. Development of virtual research environment for regional climatic and ecological studies and continuous education support

    Science.gov (United States)

    Gordov, Evgeny; Lykosov, Vasily; Krupchatnikov, Vladimir; Bogomolov, Vasily; Gordova, Yulia; Martynova, Yulia; Okladnikov, Igor; Titov, Alexander; Shulgina, Tamara

    2014-05-01

    Volumes of environmental data archives are growing immensely due to recent models, high performance computers and sensors development. It makes impossible their comprehensive analysis in conventional manner on workplace using in house computing facilities, data storage and processing software at hands. One of possible answers to this challenge is creation of virtual research environment (VRE), which should provide a researcher with an integrated access to huge data resources, tools and services across disciplines and user communities and enable researchers to process structured and qualitative data in virtual workspaces. VRE should integrate data, network and computing resources providing interdisciplinary climatic research community with opportunity to get profound understanding of ongoing and possible future climatic changes and their consequences. Presented are first steps and plans for development of VRE prototype element aimed at regional climatic and ecological monitoring and modeling as well as at continuous education and training support. Recently developed experimental software and hardware platform aimed at integrated analysis of heterogeneous georeferenced data "Climate" (http://climate.scert.ru/, Gordov et al., 2013; Shulgina et al., 2013; Okladnikov et al., 2013) is used as a VRE element prototype and approach test bench. VRE under development will integrate on the base of geoportal distributed thematic data storage, processing and analysis systems and set of models of complex climatic and environmental processes run on supercomputers. VRE specific tools are aimed at high resolution rendering on-going climatic processes occurring in Northern Eurasia and reliable and found prognoses of their dynamics for selected sets of future mankind activity scenaria. Currently the VRE element is accessible via developed geoportal at the same link (http://climate.scert.ru/) and integrates the WRF and «Planet Simulator» models, basic reanalysis and instrumental

  9. Regionalization of climate model results for the North Sea

    Energy Technology Data Exchange (ETDEWEB)

    Kauker, F.

    1999-07-01

    A dynamical downscaling is presented that allows an estimation of potential effects of climate change on the North Sea. Therefore, the ocean general circulation model OPYC is adapted for application on a shelf by adding a lateral boundary formulation and a tide model. In this set-up the model is forced, first, with data from the ECMWF reanalysis for model validation and the study of the natural variability, and, second, with data from climate change experiments to estimate the effects of climate change on the North Sea. (orig.)

  10. Different regional climatic drivers of Holocene large wildfires in boreal forests of northeastern America

    Science.gov (United States)

    Remy, Cécile C.; Hély, Christelle; Blarquez, Olivier; Magnan, Gabriel; Bergeron, Yves; Lavoie, Martin; Ali, Adam A.

    2017-03-01

    Global warming could increase climatic instability and large wildfire activity in circumboreal regions, potentially impairing both ecosystem functioning and human health. However, links between large wildfire events and climatic and/or meteorological conditions are still poorly understood, partly because few studies have covered a wide range of past climate-fire interactions. We compared palaeofire and simulated climatic data over the last 7000 years to assess causes of large wildfire events in three coniferous boreal forest regions in north-eastern Canada. These regions span an east-west cline, from a hilly region influenced by the Atlantic Ocean currently dominated by Picea mariana and Abies balsamea to a flatter continental region dominated by Picea mariana and Pinus banksiana. The largest wildfires occurred across the entire study zone between 3000 and 1000 cal. BP. In western and central continental regions these events were triggered by increases in both the fire-season length and summer/spring temperatures, while in the eastern region close to the ocean they were likely responses to hydrological (precipitation/evapotranspiration) variability. The impact of climatic drivers on fire size varied spatially across the study zone, confirming that regional climate dynamics could modulate effects of global climate change on wildfire regimes.

  11. Projected Shifts in Coffea arabica Suitability among Major Global Producing Regions Due to Climate Change

    Science.gov (United States)

    Ovalle-Rivera, Oriana; Läderach, Peter; Bunn, Christian; Obersteiner, Michael; Schroth, Götz

    2015-01-01

    Regional studies have shown that climate change will affect climatic suitability for Arabica coffee (Coffea arabica) within current regions of production. Increases in temperature and changes in precipitation patterns will decrease yield, reduce quality and increase pest and disease pressure. This is the first global study on the impact of climate change on suitability to grow Arabica coffee. We modeled the global distribution of Arabica coffee under changes in climatic suitability by 2050s as projected by 21 global circulation models. The results suggest decreased areas suitable for Arabica coffee in Mesoamerica at lower altitudes. In South America close to the equator higher elevations could benefit, but higher latitudes lose suitability. Coffee regions in Ethiopia and Kenya are projected to become more suitable but those in India and Vietnam to become less suitable. Globally, we predict decreases in climatic suitability at lower altitudes and high latitudes, which may shift production among the major regions that produce Arabica coffee. PMID:25875230

  12. Climate change policy in North America: designing integration in a regional system

    National Research Council Canada - National Science Library

    Craik, Neil; Studer, Isabel; VanNijnatten, Debora

    2013-01-01

    .... Leading scholars from a variety of disciplines provide in-depth case studies of climate cooperation initiatives - such as emissions trading, energy cooperation, climate finance, carbon accounting, and international trade - as well as analyses of the institutional, political, and economic conditions that influence climate policy integration. neil craik is ...

  13. Applicability of ranked Regional Climate Models (RCM) to assess the impact of climate change on Ganges: A case study.

    Science.gov (United States)

    Anand, Jatin; Devak, Manjula; Gosain, Ashvani Kumar; Khosa, Rakesh; Dhanya, Ct

    2017-04-01

    .53, respectively, for Ganga basin. Flow-duration curve and long-term average of streamflow for ranked RCMs, confirm that SWAT model is efficient in capturing the hydrology of the basin. For monsoon months (June, July, August and September), future annual mean surface runoff decreases substantially ( -50 % to -10%), while the base flow for October, November and December is projected to increase ( 10- 20 %). Analysis of snow-melt hydrology, indicated that the snow-melt is projected to increase during the months of November to March, with a maximum increase (400%) shown by RCA 4 (CNRM-CERFACS) and least by RCA4 (ICHEC) (15%). Further, all the RCMs projected higher and lower frequency of dry and wet monsoon, respectively. The analysis of simulated base flow and recharge illustrates that the change varies from +100% to - 500% and +97% to -600%, respectively, with central part of the basin undergoing major loss in the recharge. Hence, this research provides important insights of surface runoff to climate change projections and therefore, better administration and management of available resources is necessary. Keyword: Climate change, uncertainty, Soil Water Assessment Tool (SWAT), General Circulation Model (GCM), Regional Climate Models (RCM), Bias correction.

  14. Regional downscaling of Mediterranean droughts under past and future climatic conditions

    Science.gov (United States)

    Hertig, Elke; Tramblay, Yves

    2017-04-01

    The complexity of the Mediterranean climate with its high precipitation variability and its unequal seasonal distribution with a wet season from approximately October to April and a dry season in summer set general conditions for a high vulnerability of the Mediterranean area to droughts. In the last few decades the risk of drought episodes appears to be enhanced in the Mediterranean area due to temperature increases combined with precipitation decreases. This general change towards warmer and dryer conditions is expected to continue in the future. In the present study droughts are represented by the Standardized Precipitation Index (SPI), at 114 stations located across the Mediterranean area. The SPI is a normalized measure of drought severity relative to a specific location, obtained from rainfall totals aggregated over different time periods. This allows a comparison of different locations and the delineation of homogeneous regions with similar SPI variability. 13 regions have been identified. A downscaling approach using circulation types based on geopotential heights and relative humidity as predictors has been set up to downscale the SPI time series in the different regions. The downscaling approach has been validated using running 21 years validation periods, in order to assess the skill of the method during different climatic conditions and to detect possible non-stationarities in the predictors-predictand relationships. Results show that the downscaling method provided satisfactory results, except for the most arid regions. Future projections, provided from a three member ensemble of the MPI-ESM-LR model under scenario RCP 8.5, indicate an increase in the drought severity and occurrence for the whole Mediterranean region for the period 2070-2100.

  15. Regional and urban downscaling of global climate scenarios for health impact assessments

    Energy Technology Data Exchange (ETDEWEB)

    San Jose, R.; Perez, J.L.; Perez, L.; Gonzalez, R.M.; Pecci, J.; Garzon, A.; Palacios, M.

    2015-07-01

    In this contribution we have used global climate RCP IPCC scenarios to produce climate and air pollution maps at regional (25 km resolution) and urban scale with 200 m spatial resolution over Europe and five European cities in order to investigate the impact on meteorological variables and pollutant concentrations . We have used the very well known mesoscale meeorological model WRF-Chem (NOAA, US). We have used 2011 as control past year and two RCP scenarios from CCSM global climate model with 4.5 W/m2 and 8.5 W/m2 for 2030, 2050 and 2100 years. After running WRF-Chem model, using the boundary conditions provided by RCP scenarios with the emissions of 2011, we have performed a detailed downscaling process using CALMET diagnostic model to obtain a full 200 m spatial resolution map of five European cities (London, Antwerp, Madrid, Milan, and Helsinki). We will show the results and the health impacts for future RCP IPCC climate scenarios in comparison with the 2011 control year information for climate and health indicators. Finnally, we have also investigated the impact of the aerosol effects in the short wave radiation mean value. Two simulations with the WRF-Chem model have been performed over Europe in 2010. A baseline simulation without any feedback effects and a second simulation including the direct effects affecting the solar radiation reaching the surface as well as the indirect aerosol effect with potential impacts on increasing or decreasing the precipitation rates. Aerosol effects produce an increase of incoming radiation over Atlantic Ocean (up to 70%) because the prescribed aerosol concentrations in the WRF-Chem without feedbacks is substantially higher than the aerosol concentrations produced when we activate the feedback effects. The decrease in solar radiation in the Sahara area (10%) is found to be produced because the prescribed aerosol concentration in the {sup n}o feedback{sup s}imulation is lower than when we activate the feedback effects. (Author)

  16. Regional and urban down scaling of global climate scenarios for health impact assessments

    Energy Technology Data Exchange (ETDEWEB)

    San Jose, R.; Perez, J. L.; Perez, L.; Gonzalez, R. M.; Pecci, J.; Garzon, A.; Palacios, M.

    2015-07-01

    In this contribution we have used global climate RCP IPCC scenarios to produce climate and air pollution maps at regional (25 km resolution) and urban scale with 200 m spatial resolution over Europe and five European cities in order to investigate the impact on meteorological variables and pollutant concentrations . We have used the very well known mesoscale meteorological model WRF-Chem (NOAA, US). We have used 2011 as control past year and two RCP scenarios from CCSM global climate model with 4.5 W/m2 and 8.5 W/m2 for 2030, 2050 and 2100 years. After running WRF-Chem model, using the boundary conditions provided by RCP scenarios with the emissions of 2011, we have performed a detailed down scaling process using CALMET diagnostic model to obtain a full 200 m spatial resolution map of five European cities (London, Antwerp, Madrid, Milan, and Helsinki). We will show the results and the health impacts for future RCP IPCC climate scenarios in comparison with the 2011 control year information for climate and health indicators. Finally, we have also investigated the impact of the aerosol effects in the short wave radiation mean value. Two simulations with the WRF-Chem model have been performed over Europe in 2010. A baseline simulation without any feedback effects and a second simulation including the direct effects affecting the solar radiation reaching the surface as well as the indirect aerosol effect with potential impacts on increasing or decreasing the precipitation rates. Aerosol effects produce an increase of incoming radiation over Atlantic Ocean (up to 70%) because the prescribed aerosol concentrations in the WRF-Chem without feedbacks is substantially higher than the aerosol concentrations produced when we activate the feedback effects. The decrease in solar radiation in the Sahara area (10%) is found to be produced because the prescribed aerosol concentration in the no feedback simulation is lower than when we activate the feedback effects. (Author)

  17. Assessing adaptation to the health risks of climate change: what guidance can existing frameworks provide?

    Science.gov (United States)

    Füssel, Hans-Martin

    2008-02-01

    Climate change adaptation assessments aim at assisting policy-makers in reducing the health risks associated with climate change and variability. This paper identifies key characteristics of the climate-health relationship and of the adaptation decision problem that require consideration in climate change adaptation assessments. It then analyzes whether these characteristics are appropriately considered in existing guidelines for climate impact and adaptation assessment and in pertinent conceptual models from environmental epidemiology. The review finds three assessment guidelines based on a generalized risk management framework to be most useful for guiding adaptation assessments of human health. Since none of them adequately addresses all key challenges of the adaptation decision problem, actual adaptation assessments need to combine elements from different guidelines. Established conceptual models from environmental epidemiology are found to be of limited relevance for assessing and planning adaptation to climate change since the prevailing toxicological model of environmental health is not applicable to many climate-sensitive health risks.

  18. The impact of climate change on the water resources of Hindukush-Karakorum-Himalaya region under different glacier coverage scenarios

    NARCIS (Netherlands)

    Akhtar, M.; Ahmad, N.; Booij, Martijn J.

    2008-01-01

    This paper presents estimates of water resources changes in three river basins in the Hindukush–Karakorum–Himalaya (HKH) region associated with climate change. The present climate (1961–1990) and future climate SRES A2 scenario (2071–2100) are simulated by the PRECIS Regional Climate Model at a

  19. Future Earth -- New Approaches to address Climate Change and Sustainability in the MENA Region

    Science.gov (United States)

    Lange, Manfred; Abu Alhaija, Rana

    2016-04-01

    Interactions and feedbacks between rapidly increasing multiple pressures on water, energy and food security drive social-ecological systems at multiple scales towards critical thresholds in countries of the Eastern Mediterranean, the Middle East and North Africa (MENA Region). These pressures, including climate change, the growing demand on resources and resource degradation, urbanization and globalization, cause unprecedented challenges for countries and communities in the region. Responding to these challenges requires integrated science and a closer relationship with policy makers and stakeholders. Future Earth has been designed to respond to these urgent needs. In order to pursue such objectives, Future Earth is becoming the host organization for some 23 programs that were previously run under four global environmental change programmes, DIVERSITAS, the International Geosphere-Biosphere Programme (IGBP), the International Human Dimensions Programme (IHDP) and the World Climate Research Programme (WCRP). Some further projects arose out of the Earth System Science Partnership (ESSP). It thus brings together a wide spectrum of expertise and knowledge that will be instrumental in tackling urgent problems in the MENA region and the wider Mediterranean Basin. Future Earth is being administered by a globally distributed secretariat that also includes a series of Regional Centers, which will be the nuclei for the development of new regional networks. The Cyprus Institute in Nicosia, Cyprus (CyI; www.cyi.ac.cy) is hosting the Regional Center for the MENA Region. The CyI is a non-profit research and post-graduate education institution with a strong scientific and technological orientation and a distinctive regional, Eastern Mediterranean scope. Cyprus at the crossroads of three continents and open to all nations in the region provides excellent conditions for advancing the research agenda of Future Earth in the MENA Region. Given the recent and ongoing major political

  20. On the need for bias correction in regional climate scenarios to assess climate change impacts on river runoff

    Directory of Open Access Journals (Sweden)

    M. J. Muerth

    2013-03-01

    Full Text Available In climate change impact research, the assessment of future river runoff as well as the catchment-scale water balance is impeded by different sources of modeling uncertainty. Some research has already been done in order to quantify the uncertainty of climate projections originating from the climate models and the downscaling techniques, as well as from the internal variability evaluated from climate model member ensembles. Yet, the use of hydrological models adds another layer of uncertainty. Within the QBic3 project (Québec–Bavarian International Collaboration on Climate Change, the relative contributions to the overall uncertainty from the whole model chain (from global climate models to water management models are investigated using an ensemble of multiple climate and hydrological models. Although there are many options to downscale global climate projections to the regional scale, recent impact studies tend to use regional climate models (RCMs. One reason for that is that the physical coherence between atmospheric and land-surface variables is preserved. The coherence between temperature and precipitation is of particular interest in hydrology. However, the regional climate model outputs often are biased compared to the observed climatology of a given region. Therefore, biases in those outputs are often corrected to facilitate the reproduction of historic runoff conditions when used in hydrological models, even if those corrections alter the relationship between temperature and precipitation. So, as bias correction may affect the consistency between RCM output variables, the use of correction techniques and even the use of (biased climate model data itself is sometimes disputed among scientists. For these reasons, the effect of bias correction on simulated runoff regimes and the relative change in selected runoff indicators is explored. If it affects the conclusion of climate change analysis in hydrology, we should consider it as a source

  1. Distributed Research Center for Analysis of Regional Climatic Changes and Their Impacts on Environment

    Science.gov (United States)

    Shiklomanov, A. I.; Okladnikov, I.; Gordov, E. P.; Proussevitch, A. A.; Titov, A. G.

    2016-12-01

    Presented is a collaborative project carrying out by joint team of researchers from the Institute of Monitoring of Climatic and Ecological Systems, Russia and Earth Systems Research Center, University of New Hampshire, USA. Its main objective is development of a hardware and software prototype of Distributed Research Center (DRC) for monitoring and projecting of regional climatic and and their impacts on the environment over the Northern extratropical areas. In the framework of the project new approaches to "cloud" processing and analysis of large geospatial datasets (big geospatial data) are being developed. It will be deployed on technical platforms of both institutions and applied in research of climate change and its consequences. Datasets available at NCEI and IMCES include multidimensional arrays of climatic, environmental, demographic, and socio-economic characteristics. The project is aimed at solving several major research and engineering tasks: 1) structure analysis of huge heterogeneous climate and environmental geospatial datasets used in the project, their preprocessing and unification; 2) development of a new distributed storage and processing model based on a "shared nothing" paradigm; 3) development of a dedicated database of metadata describing geospatial datasets used in the project; 4) development of a dedicated geoportal and a high-end graphical frontend providing intuitive user interface, internet-accessible online tools for analysis of geospatial data and web services for interoperability with other geoprocessing software packages. DRC will operate as a single access point to distributed archives of spatial data and online tools for their processing. Flexible modular computational engine running verified data processing routines will provide solid results of geospatial data analysis. "Cloud" data analysis and visualization approach will guarantee access to the DRC online tools and data from all over the world. Additionally, exporting of data

  2. The Health Effects of Climate Change in the WHO European Region

    Directory of Open Access Journals (Sweden)

    Tanja Wolf

    2015-11-01

    Full Text Available The evidence of observed health effects as well as projections of future health risks from climate variability and climate change is growing. This article summarizes new knowledge on these health risks generated since the IPCC fourth assessment report (AR4 was published in 2007, with a specific focus on the 53 countries comprising the WHO European Region. Many studies on the effects of weather, climate variability, and climate change on health in the European Region have been published since 2007, increasing the level of certainty with regard to already known health threats. Exposures to temperature extremes, floods, storms, and wildfires have effects on cardiovascular and respiratory health. Climate- and weather-related health risks from worsening food and water safety and security, poor air quality, and ultraviolet radiation exposure as well as increasing allergic diseases, vector- and rodent-borne diseases, and other climate-sensitive health outcomes also warrant attention and policy action to protect human health.

  3. Estimation of Probable Maximum Precipitation in Korea using a Regional Climate Model

    Directory of Open Access Journals (Sweden)

    Jeonghoon Lee

    2017-03-01

    Full Text Available Extreme precipitation events have been extensively applied to the design of social infra structures. Thus, a method to more scientifically estimate the extreme event is required. This paper suggests a method to estimate the extreme precipitation in Korea using a regional climate model. First, several historical extreme events are identified and the most extreme event of Typhoon Rusa (2002 is selected. Second, the selected event is reconstructed through the Weather Research and Forecasting (WRF model, one of the Regional Climate Models (RCMs. Third, the reconstructed event is maximized by adjusting initial and boundary conditions. Finally, the Probable Maximum Precipitation (PMP is obtained. The WRF could successfully simulate the observed precipitation in terms of spatial and temporal distribution (R2 = 0.81. The combination of the WRF Single-Moment (WSM 6-class graupel scheme (of microphysics, the Betts-Miller-Janjic scheme (of cumulus parameterization and the Mellor-Yamada-Janjic Turbulent Kinetic Energy (TKE scheme (of planetary boundary layer was determined to be the best combination to reconstruct Typhoon Rusa. The estimated PMP (RCM_PMP was compared with the existing PMP. The RCM_PMP was generally in good agreement with the PMP. The suggested methodology is expected to provide assessments of the existing PMP and to provide a new alternative for estimating PMP.

  4. HESS Opinions "Should we apply bias correction to global and regional climate model data?"

    Directory of Open Access Journals (Sweden)

    J. Liebert

    2012-09-01

    Full Text Available Despite considerable progress in recent years, output of both global and regional circulation models is still afflicted with biases to a degree that precludes its direct use, especially in climate change impact studies. This is well known, and to overcome this problem, bias correction (BC; i.e. the correction of model output towards observations in a post-processing step has now become a standard procedure in climate change impact studies. In this paper we argue that BC is currently often used in an invalid way: it is added to the GCM/RCM model chain without sufficient proof that the consistency of the latter (i.e. the agreement between model dynamics/model output and our judgement as well as the generality of its applicability increases. BC methods often impair the advantages of circulation models by altering spatiotemporal field consistency, relations among variables and by violating conservation principles. Currently used BC methods largely neglect feedback mechanisms, and it is unclear whether they are time-invariant under climate change conditions. Applying BC increases agreement of climate model output with observations in hindcasts and hence narrows the uncertainty range of simulations and predictions without, however, providing a satisfactory physical justification. This is in most cases not transparent to the end user. We argue that this hides rather than reduces uncertainty, which may lead to avoidable forejudging of end users and decision makers. We present here a brief overview of state-of-the-art bias correction methods, discuss the related assumptions and implications, draw conclusions on the validity of bias correction and propose ways to cope with biased output of circulation models in the short term and how to reduce the bias in the long term. The most promising strategy for improved future global and regional circulation model simulations is the increase in model resolution to the convection-permitting scale in combination with

  5. Linking the SASSCAL WeatherNet and data management/rescue activities to provide consistent information for climate change assessments in Southern Africa

    Science.gov (United States)

    Helmschrot, J.; Kaspar, F.; Muche, G.; Hillmann, T.; Kanyanga, J.; Butale, M.; Nascimento, D.; Josenhans, K.; Falanga, E.; Neto, F. O. S.; Kruger, S.; Juergens, N.

    2014-12-01

    Many countries of Southern Africa face inadequate weather monitoring networks to provide reliable and consistent information for the development of efficient management strategies for sustainable water and land resources management, drought and flood risk analysis and forecasts as well as climate change impacts assessments. In addition, some existing networks are characterized by station data showing notable gaps in long-term observations. On the other hand, useful climate information is saved in historical documents and archives, but only barely explored up to now. Such documents are also available in archives of European meteorological services, partly also not yet in digital format. A main aim of the SASSCAL Initiative (Southern African Science Service Centre for Climate Change and Adaptive Land Management; www.sasscal.org) is to improve the availability of reliable meteorological baseline data along with a set of analytical methods to strengthen the research capacities in the SASSCAL region including Angola, Botswana, Namibia, South Africa and Zambia, and therewith to support and integrate information of existing national monitoring networks of the Southern African region. In close cooperation with the national weather authorities and various research institutions of the SASSCAL region, the above mentioned deficits are specifically addressed by i) extending the existing national monitoring networks through additional automatic weather stations and their integration in the SASSCAL WeatherNet which in near future hosts about 130 stations, ii) contributing to the development of Climate Data Management Systems (CDMS) at the national weather authorities in Angola, Botswana and Zambia and iii) the provision of additional time series of climate data based on the historic documents from various archives in all countries. The paper presents first results and shows how these efforts are linked to provide consistent climate information for Southern Africa in order to

  6. Sharing skills and needs between providers and users of climate information to create climate services: lessons from the Northern Adriatic case study

    Directory of Open Access Journals (Sweden)

    Valentina Giannini

    2016-03-01

    Full Text Available Abstract The need to cope with the expected impacts of climate change on socio-ecological systems calls for a closer dialogue between climate scientists and the community of climate information users. We describe an interactive process designed to bridge this gap by establishing a two-way communication, based on mutual learning. We analyse the need of climate information for the integrated assessment of climate change impacts on the coastal zone of the Northern Adriatic Sea, which is considered to be particularly vulnerable to several climate-related phenomena, e.g. heavy rainfall events, pluvial flood, and sea level rise, causing potentially high damage to coastal ecosystems and urban areas (e.g. acqua alta in the Venice Lagoon. A participatory process was designed engaging representatives from both the scientific and local stakeholders communities, and facilitated by a boundary organization, embodied by the Euro-Mediterranean Center on Climate Change. End-users of climate information (e.g. decision makers belonging to public institutions were selected among representatives of those public institutions having a specific mandate for Integrated Coastal Zone Management, and engaged to identify their needs. During the early stages of the interaction process, several priorities were identified, including: (1 data to support land-use planning, (2 data with greater resolution and longer time series, (3 data on climate impacts and risks, (4 precipitation patterns to improve irrigation, (5 sea level rise and tides, (6 climate variations and extreme events, (7 seasonal trend for tidal waves, and (8 hydraulic risk. Three climate products were developed to address these needs: (1 short-term projections of sea level rise; (2 seasonal predictions of extreme rainfall events; (3 long-term regional projections of climate extremes (including heat waves, dry spells and heavy rainfall events. Additionally, two risk products were developed: 4 sea level rise

  7. Mangrove habitats provide refuge from climate change for reef-building corals

    Science.gov (United States)

    Yates, K. K.; Rogers, C. S.; Herlan, J. J.; Brooks, G. R.; Smiley, N. A.; Larson, R. A.

    2014-03-01

    conditions, and biological influences on seawater chemistry generate chemical conditions that buffer against ocean acidification. This previously undocumented refuge for corals provides evidence for adaptation of coastal organisms and ecosystem transition due to recent climate change. Identifying and protecting other natural, non-reef coral refuges is critical for sustaining corals and other reef species into the future.

  8. An overview of studies of observed climate change in the Hindu Kush Himalayan (HKH region

    Directory of Open Access Journals (Sweden)

    Qing-Long You

    2017-09-01

    Full Text Available The Hindu Kush Himalayan (HKH hereafter region is characterized by mountainous environments and a variety of regional climatic conditions. High-altitude regions in the HKH have the recent warming amplifications, especially during the global warming hiatus period. The rapid warming cause solid state water (snow, ice, glacier, and permafrost to shrink, leading to increase in meltwater and there have been found more frequent incidences of flash floods, landslides, livestock diseases, and other disasters in the HKH region. Increasing awareness of climate change over the HKH region is reached a consensus. Meanwhile, the HKH region is often referred to as the water towers of Asia as many high-altitude regions store its water in the form of snow and/or glacier, feeding ten major large rivers in Asia. Therefore, the impacts of climate change on water availability in these river basins have huge influences on the livelihood of large number of population, especially in downstream regions. However, the scarcity of basic hydro-meteorological observations particularly in high-altitude regions of HKH limits rigorous analysis of climate change. Most studies used reanalysis data and/or model-reconstructed products to explore the spatial and temporal characteristics of hydro-meteorological processes, especially for extreme events. In this study, we review recent climate change in the HKH region, and the scientific challenges and research recommendations are suggested for this high-altitude area.

  9. Regional climate signal modified by local factors - multi core study records (Lake Czechowskie region, N Poland)

    Science.gov (United States)

    Zawiska, Izabela; Rzodkiewicz, Monika; Noryśkiewicz, Agnieszka; Kramkowski, Mateusz; Obremska, Milena; Ott, Florian; Plessen, Birgit; Tjallingii, Rik; Słowiński, Michał; Błaszkiewicz, Mirosław; Brauer, Achim

    2016-04-01

    Lake sediments can be utilized as valuable paleoclimate and environmental archives as they contain information of past changes. Multi-proxy analyses of sedimentary compartments (e.g. pollen, diatoms, Cladocera) reveal those changes. However, to decipher the spatial variability of past climate changes and to define the proxies suited for local and regional scale reconstructions archive comparisons are needed. Here we present a detailed multi-proxy study from four different sediment cores covering the Younger Dryas cold period from the Lake Czechowskie region (N Poland). Three cores are located along a transect in the Lake Czechowskie basin from its deepest point towards a former lake bay close to today's shoreline. The fourth lacustrine sediment core was retrieved from the Trzechowskie paleolake, app. 1 km W from Lake Czechowskie. The dataset comprises information from pollen (AP, NAP, Juniperus, Betula-tree, Pinus silvestris), diatom (planktonic/benthic index, diatom valve concentration, dominant species), Cladocera (planktonic/benthic index, dominant species, number of Cladocera species, total sum of specimens) and geochemical (TOC and CaCO3 content, mineral matter, titanium) analyses. At the beginning of the Younger Dryas the AP pollen share decreased and NAP and Juniperus pollen increased in all studied locations. The mineral matter and titanium record showed higher values in two cores taken from the deepest parts of Lake Czechowskie and the core from Trzechowskie paleolake while in the core located at the marginal part of the lake it was already high in Allerød and it did not change much in Younger Dryas. The Cladocera based indexes: total sum of specimens and number of species decreased at the beginning of YD but on the contrary the Cladocera species composition changes were site-specific. The diatoms valve concentration index significantly lowered in core from the deep location while on the contrary increased in core from paleolake Trzechowskie. Our results

  10. A method for regional climate change detection using smooth temporal patterns

    Energy Technology Data Exchange (ETDEWEB)

    Ribes, Aurelien; Planton, Serge [CNRM-GAME, Meteo France-CNRS, Toulouse (France); Azais, Jean-Marc [Universite de Toulouse (France). UPS, IMT

    2010-08-15

    This paper introduces an original method for climate change detection, called temporal optimal detection method. The method consists in searching for a smooth temporal pattern in the observations. This pattern can be either the response of the climate system to a specific forcing or to a combination of forcings. Many characteristics of this new method are different from those of the classical ''optimal fingerprint'' method. It allows to infer the spatial distribution of the detected signal, without providing any spatial guess pattern. The spatial properties of the internal climate variability doesn't need to be estimated either. The estimation of such quantities being very challenging at regional scale, the proposed method is particularly well-suited for such scale. The efficiency of the method is illustrated by applying it on real homogenized datasets of temperatures and precipitation over France. A multimodel detection is performed in both cases, using an ensemble of atmosphere-ocean general circulation models for estimating the temporal patterns. Regarding temperatures, new results are highlighted, especially by showing that a change is detected even after removing the uniform part of the warming. The sensitivity of the method is discussed in this case, relatively to the computation of the temporal patterns and to the choice of the model. The method also allows to detect a climate change signal in precipitation. This change impacts the spatial distribution of the precipitation more than the mean over the domain. The ability of the method to provide an estimate of the spatial distribution of the change following the prescribed temporal patterns is also illustrated. (orig.)

  11. Future projection of drought conditions in Europe: A comprehensive study using the ENSEMBLES regional climate models

    Science.gov (United States)

    Heinrich, Georg; Gobiet, Andreas

    2010-05-01

    Drought is a natural recurrent phenomenon which occurs in a variety of different temporal and spatial scales and significantly affects natural and socio-economic systems. Under the aspect of the human induced climate change it is of high interest to decision makers how drought conditions might change at regional scale in order to map out adequate mitigation and adaption strategies. For this study, the most recent regional climate scenarios for Europe with a horizontal resolution of approximately 25 km are used (provided by the EU FP6 Integrated Project ENSEMBLES - http://ensembles-eu.org/). Based on seasonal temperature and precipitation climate change signals, eight scenarios out of the entire ensemble are selected in order to span a large fraction of the uncertainty range. These eight scenarios are analysed in more detail. A quantile mapping approach based on the E-OBS observational dataset is applied to daily temperature and precipitation to reduce model errors before investigating drought conditions in nine European sub regions. Two commonly used drought indices are calculated as drought indicators - the Standardized Precipitation Index (SPI) which is solely based on precipitation and the self calibrated Palmer Drought Severity Index (scPDSI) which is additionally based on temperature and available water capacity of the soil. The SPI is calculated for various time scales, accounting for different drought types, and the scPDSI is calculated on monthly basis. Both indices are calibrated in the past (1951 - 2000) and then applied to the future scenarios (2021 - 2050) according to the concept of relative drought indices. The temporal and spatial characteristics of projected future drought conditions are analysed with focus on moderately and extremely dry and wet conditions and the uncertainty in the projections. Finally, first results will be presented. Acknowledgement: "The ENSEMBLES data used in this work was funded by the EU FP6 Integrated Project ENSEMBLES

  12. Long-term patterns in estuarine fish growth across two climatically divergent regions.

    Science.gov (United States)

    Doubleday, Zoë A; Izzo, Christopher; Haddy, James A; Lyle, Jeremy M; Ye, Qifeng; Gillanders, Bronwyn M

    2015-12-01

    Long-term ecological datasets are vital for investigating how species respond to changes in their environment, yet there is a critical lack of such datasets from aquatic systems. We developed otolith growth 'chronologies' to reconstruct the growth history of a temperate estuarine fish species, black bream (Acanthopagrus butcheri). Chronologies represented two regions in south-east Australia: South Australia, characterised by a relatively warm, dry climate, and Tasmania, characterised by a relatively cool, wet climate. Using a mixed modelling approach, we related inter-annual growth variation to air temperature, rainfall, freshwater inflow (South Australia only), and El Niño-Southern Oscillation events. Otolith chronologies provided a continuous record of growth over a 13- and 21-year period for fish from South Australia and Tasmania, respectively. Even though fish from Tasmania were sourced across multiple estuaries, they showed higher levels of growth synchronicity across years, and greater year-to-year growth variation, than fish from South Australia, which were sourced from a single, large estuary. Growth in Tasmanian fish declined markedly over the time period studied and was negatively correlated to temperature. In contrast, growth in South Australian fish was positively correlated to both temperature and rainfall. The stark contrast between the two regions suggests that Tasmanian black bream populations are more responsive to regional scale environmental variation and may be more vulnerable to global warming. This study highlights the importance of examining species response to climate change at the intra-specific level and further validates the emerging use of growth chronologies for generating long-term ecological data in aquatic systems.

  13. How to combine multiple techniques to provide reliable in-situ time series for climate applications

    Science.gov (United States)

    Valladeau, G.; Soudarin, L.; Gravelle, M.

    2012-12-01

    Tide gauge measurements, as observations dedicated to climate applications, require a rigorous quality control since measurements are highly sensitive to biases or drifts in datasets. One major part of the error related to the assessment of Sea Surface Height at tide gauge location originates in vertical movements. Indeed, many studies have for instance demonstrated the need for tide gauges to be corrected for land motion when compared with altimeter data. The combination of multiple techniques (altimeter, in-situ and geodetic data) is a way of providing relevant tide gauge time series for end-users and climate applications such as the contribution of ice-sheet mass balance to the global sea-level. In this way, DORIS (Doppler Orbitography and Radiopositioning Integrated by Satellite) as well as GNSS (Global Navigation Satellite System) are considered as complementary techniques. They determine the crustal motion at a cm (or better) and mm/yr accuracy for the positions and velocities respectively. As the DORIS network was deployed by a geodetic institution, great care was taken when selecting the geographical location of the tracking stations to co-locate them with other space geodetic techniques (VLBI, SLR and GNSS), but also with tide gauges. Hence, as on May 2012, 22 DORIS stations are within 10 km from a tide gauge, including 8 within 500m. Ties between the DORIS antennas and the nearby tide gauge are also available when the measurement is possible. This study focuses on the example of the Thule tide gauge for which measurements are compared to the different techniques previously described. First, the comparison to both DORIS and GNSS data provides relevant information about the strong crustal movement North of Greenland. Then the use of altimeter data confirms results deduced from geodetic stations and give a larger view on the behavior of land motion around the Thule tide gauge. Therefore, the combination of multiple techniques is used to provide reliable tide

  14. Providing a Scientific Foundation in Climate Studies for Non-Science Majors

    Science.gov (United States)

    Brey, J. A.; Geer, I. W.; Moran, J. M.; Weinbeck, R. S.; Mills, E. W.; Lambert, J.; Blair, B. A.; Hopkins, E. J.; O'Neill, K. L.; Hyre, H. R.; Nugnes, K. A.; Moses, M. N.

    2010-12-01

    Climate change has become a politically charged topic, creating the necessity for a scientifically literate population. Therefore, the American Meteorological Society (AMS), in partnership with NASA, has produced an introductory level, climate science course that engages students, allows for course flexibility, and boosts scientific knowledge about climate. This course shares NASA’s goal of observing, understanding, and modeling the Earth system, to discover how it is changing, to better predict change, and to understand the consequences for life. In Spring 2010, AMS Climate Studies was piloted to determine the most effective method to foster an understanding of some of the more difficult concepts of climate science. This study was offered as part of the NASA grant. This presentation will report the results of that study. Faculty and students from fourteen colleges and universities throughout the country evaluated the course using pre- and post-test questions, which included multiple choice and short answer questions, weekly course content evaluations, and an extensive post-course evaluation. The large majority of participating teachers rated the overall course, scientific content, internet delivery, and study materials as ‘good’, the most positive response available. Feedback from faculty members as well as suggestions from NASA reviewers were used to enhance the final version of the textbook and Investigations Manual for the Fall 2010 academic semester. Following the proven course work of AMS Weather and AMS Ocean Studies, AMS Climate Studies is a turnkey package utilizing both printed and online materials. It covers topics such as the water in Earth’s climate system, paleoclimates, along with climate change and public policy. The Investigations include 30 complimentary lab-style activities including the Conceptual Energy Model, which explores the flow of energy from space to Earth. Additionally, the course website features Current Climate Studies where

  15. Climate extremes and the carbon cycle - a review using an integrated approach with regional examples for forests & native ecosystems -

    Science.gov (United States)

    Frank, D.; Reichstein, M.; Bahn, M.; Beer, C.; Ciais, P.; Mahecha, M.; Seneviratne, S. I.; Smith, P.; van Oijen, M.; Walz, A.

    2012-04-01

    The terrestrial carbon cycle provides an important biogeochemical feedback to climate and is itself particularly susceptible to extreme climate events. Climate extremes can override any (positive) effects of mean climate change as shown in European and recent US-American heat waves and dry spells. They can impact the structure, composition, and functioning of terrestrial ecosystems and have the potential to cause rapid carbon losses from accumulated stocks. We review how climate extremes like severe droughts, heat waves, extreme precipitation or storms can cause direct impacts on the CO2 fluxes [e.g. due to extreme temperature and/ or drought events] as well as lagged impacts on the carbon cycle [e.g. via an increased fire risk, or disease outbreaks and pest invasions]. The relative impact of the different climate extremes varies according to climate region and vegetation type. We present lagged effects on plant growth (and mortality) in the year(s) following an extreme event and their impacts on the carbon sequestration of forests and natural ecosystems. Comprehensive regional or even continental quantification with regard to extreme events is missing, and especially compound extreme events, the role of lagged effects and aspects of the return frequency are not studied enough. In a case study of a Mediterranean ecosystem we illustrate that the response of the net carbon balance at ecosystem level to regional climate change is hard to predict as interacting and partly compensating processes are affected and several processes which have the ability to substantially alter the carbon balance are not or not sufficiently represented in state-of-the-art biogeochemical models.

  16. A framework for assessing climate change vulnerability and identifying adaptation responses in the central hardwoods region

    Science.gov (United States)

    Patricia R. Butler; Leslie A. Brandt; Stephen D. Handler; Maria K. Janowiak; Patricia D. Shannon; Chris W. Swanston

    2014-01-01

    The Central Hardwood region contains a mosaic of forests, woodlands, savannas, and other ecosystems that will increasingly be affected by a changing climate over the next century. Understanding potential impacts is important to sustaining healthy forests under changing conditions. The objectives of the Climate Change Response Framework (forestadaptation.org) are to...

  17. Responding to climate change impacts in the Sky Island Region: From planning to action

    Science.gov (United States)

    Louise W. Misztal; Gregg Garfin; Lara Hansen

    2013-01-01

    Addressing the increasing effects of climate change on natural resources requires multiple organizations, agencies, and institutions working cooperatively to incorporate climate change into resource management. In the Sky Island region of the southwestern United States and northern Mexico, Sky Island Alliance, a non-governmental organization, has convened a series of...

  18. The impact of climate change on soil erosion in Great Lakes Region

    Science.gov (United States)

    Quantifying changes in potential soil erosion under projections of changing climate is important for the sustainable management of land resources, especially for regions dominated by agricultural land use. One of the expected changes to climate in the future is an increase in the frequency and inten...

  19. Climate optimized planting windows for cotton in the lower Mississippi Delta region

    Science.gov (United States)

    Unique, variable summer climate of the lower Mississippi Delta region poses a critical challenge to cotton producers in deciding when to plant for optimized production. Traditional 2- to 4-year agronomic field trials conducted in this area fail to capture the effects of long-term climate variabiliti...

  20. Climate effects on crop yields in the Northeast Farming Region of China during 1961–2010

    DEFF Research Database (Denmark)

    Yin, Xiaogang; Olesen, Jørgen Eivind; Wang, M.

    2016-01-01

    Crop production in the Northeast Farming Region of China (NFR) is affected considerably by variation in climatic conditions. Data on crop yield and weather conditions from a number of agro-meteorological stations in NFR were used in a mixed linear model to evaluate the impacts of climatic variables...

  1. Assessing Potential Climate Change Effects on Loblolly Pine Growth: A Probabilistic Regional Modeling Approach

    Science.gov (United States)

    Peter B. Woodbury; James E. Smith; David A. Weinstein; John A. Laurence

    1998-01-01

    Most models of the potential effects of climate change on forest growth have produced deterministic predictions. However, there are large uncertainties in data on regional forest condition, estimates of future climate, and quantitative relationships between environmental conditions and forest growth rate. We constructed a new model to analyze these uncertainties...

  2. Study of the global and regional climatic impacts of ENSO ...

    Indian Academy of Sciences (India)

    Global Change Impact Studies Centre (GCISC), Ministry of Climate Change, Islamabad, Pakistan. Abdus Salam International Centre for Theoretical Physics, Earth System Physics Section, Strada Costiera 11, 34151 Trieste, Italy. Birbal Sahni Institute of Palaeosciences, 53 University Road, Lucknow 226 007, India.

  3. Improved TMPA 3B42 estimates across Indian land region using static topographic and climate region information

    Science.gov (United States)

    Upadhyaya, Shruti; Ramsankaran, Raaj

    2017-04-01

    Several validation studies on various Satellite Rainfall Estimates (SREs) carried out around the world showed that the SREs underestimate the rainfall in orographic regions and overestimates the rainfall in arid regions. These results raise a significant question: Whether the inclusion of climatic information and static topographic information can improve the satellite rainfall estimates at regional scale? The present study, therefore aims to evaluate this scientific question using TMPA 3B42 estimates of southwest monsoon period across India during 2009-2015. Accordingly, in this study, various static topographic features such as elevation, slope, and aspect are extracted from the digital elevation model (DEM) for different climate regions of India and then a LASSO regression model is developed between gauge rainfall data and static topographic features and TMPA 3B42 estimates for each climate region to correct the TMPA 3B42 estimates. Thus obtained results show significant improvement in statistics like correlation coefficient, root mean square error, and bias in the Western Ghats and North-East India where the orographic rainfall is dominant. Whereas in other regions, bias has significantly reduced but trivial improvement in other statistics. These results indicate that the hypothesis is true and suggests the algorithm developers to incorporate the static topographic and climatic information in the algorithm.

  4. Hydrological Alterations Due to Climate-Induced Regional Vegetation Change

    Science.gov (United States)

    White, A. B.; Vivoni, E. R.; Springer, E. P.

    2010-12-01

    An extended, severe drought in the southwestern U.S. from 2000 to 2003 was accompanied by increased temperatures and bark beetle infestations, inducing the large-scale mortality of woody overstory (Pinus edulis). The consequential redistribution of water, radiation, and nutrient availability modified the ecosystem phenology, species composition, and forced the ecosystem to transition into a new state. We hypothesize that the hydrological processes in the ecosystem were also altered due to the mortality. Thus, our objective is to investigate changes in the soil-vegetation-atmosphere continuum at the watershed scale. The Rio Ojo Caliente Basin is a subbasin of the Upper Rio Grande, located mostly in New Mexico, and is approximately 1,000 km2. Examining a remotely-sensed vegetation index (1-km AVHRR NDVI from 1990 to 2006), there is an increasing trend in the NDVI from 1989 to 1999 (pre-mortality period), a decreasing trend from 2000 to 2003 (mortality period), and a dramatic increasing trend from 2004 to 2006 (post-mortality period) in which the NDVI rebounds to nearly pre-mortality magnitudes. This pattern exists across varying spatial scales (plot to watershed to region) and signifies a profound alteration in the ecosystem, for while the vegetation composition was altered to a great degree, the system rapidly returned to a homeostatic state balancing resource supply and use during the post-mortality period. To investigate hydrological changes due to the mortality, we employ a physically-based, distributed hydrologic model, tRIBS (TIN-based Real-Time Integrated Basin Simulator) for the Rio Ojo Caliente Basin. STATSGO 1-km soils data, 10-meter National Elevation Dataset DEMs, Carson National Forest vegetation species data, and MM5-downscaled NCEP/NCAR Reanalysis-I meteorologic data are used as model inputs. A combination of MODIS and AVHRR remote-sensing data, values from the literature, and field data from a long-term, pi {n}on-juniper (PJ) observation site in Los

  5. Analysing regional climate change in Africa in a 1.5 °C global warming world

    Science.gov (United States)

    Weber, Torsten; Haensler, Andreas; Jacob, Daniela

    2017-04-01

    At the 21st session of the UNFCCC Conference of the Parties (COP21) in Paris, a reaffirmation to strengthen the effort to limit the global temperature increase to 1.5 °C was decided. However, even if global warming is limited, some regions might still be substantially affected by climate change, especially for continents like Africa where the socio-economic conditions are strongly linked to the climatic conditions. Hence, providing a detailed analysis of the projected climate changes in a 1.5 °C global warming scenario will allow the African society to undertake measures for adaptation in order to mitigate potential negative consequences. In order to provide such climate change information, the existing CORDEX Africa ensemble for RCP2.6 scenario simulations has systematically been increased by conducting additional REMO simulations using data from various global circulation models (GCMs) as lateral boundary conditions. Based on this ensemble, which now consists of eleven CORDEX Africa RCP2.6 regional climate model simulations from three RCMs (forced with different GCMs), various temperature and precipitation indices such as number of cold/hot days and nights, duration of the rainy season, the amount of rainfall in the rainy seasons and the number of dry spells have been calculated for a 1.5 °C global warming scenario. The applied method to define the 1.5 °C global warming period has been already applied in the IMPACT2C project. In our presentation, we will discuss the analysis of the climate indices in a 1.5 °C global warming world for the CORDEX-Africa region. Amongst presenting the magnitude of projected changes, we will also address the question for selected indices if the changes projected in a 1.5 °C global warming scenario are already larger than the climate variability and we will also draw links to the changes projected under a more extreme scenario.

  6. Precipitation and snow cover in the Himalaya: from reanalysis to regional climate simulations

    Directory of Open Access Journals (Sweden)

    M. Ménégoz

    2013-10-01

    Full Text Available We applied a Regional Climate Model (RCM to simulate precipitation and snow cover over the Himalaya, between March 2000 and December 2002. Due to its higher resolution, our model simulates a more realistic spatial variability of wind and precipitation than those of the reanalysis of the European Centre of Medium range Weather Forecast (ECMWF used as lateral boundaries. In this region, we found very large discrepancies between the estimations of precipitation provided by reanalysis, rain gauges networks, satellite observations, and our RCM simulation. Our model clearly underestimates precipitation at the foothills of the Himalaya and in its eastern part. However, our simulation provides a first estimation of liquid and solid precipitation in high altitude areas, where satellite and rain gauge networks are not very reliable. During the two years of simulation, our model resembles the snow cover extent and duration quite accurately in these areas. Both snow accumulation and snow cover duration differ widely along the Himalaya: snowfall can occur during the whole year in western Himalaya, due to both summer monsoon and mid-latitude low pressure systems bringing moisture into this region. In Central Himalaya and on the Tibetan Plateau, a much more marked dry season occurs from October to March. Snow cover does not have a pronounced seasonal cycle in these regions, since it depends both on the quite variable duration of the monsoon and on the rare but possible occurrence of snowfall during the extra-monsoon period.

  7. Projection of wave conditions in response to climate change: A community approach to global and regional wave downscaling

    Science.gov (United States)

    Erikson, Li H.; Hemer, M.; Lionello, Piero; Mendez, Fernando J.; Mori, Nobuhito; Semedo, Alvaro; Wang, Xiaolan; Wolf, Judith

    2015-01-01

    Future changes in wind-wave climate have broad implications for coastal geomorphology and management. General circulation models (GCM) are now routinely used for assessing climatological parameters, but generally do not provide parameterizations of ocean wind-waves. To fill this information gap, a growing number of studies use GCM outputs to independently downscale wave conditions to global and regional levels. To consolidate these efforts and provide a robust picture of projected changes, we present strategies from the community-derived multi-model ensemble of wave climate projections (COWCLIP) and an overview of regional contributions. Results and strategies from one contributing regional study concerning changes along the eastern North Pacific coast are presented.

  8. Evidence for 20th century climate warming and wetland drying in the North American Prairie Pothole Region.

    Science.gov (United States)

    Werner, Brett A; Johnson, W Carter; Guntenspergen, Glenn R

    2013-09-01

    The Prairie Pothole Region (PPR) of North America is a globally important resource that provides abundant and valuable ecosystem goods and services in the form of biodiversity, groundwater recharge, water purification, flood attenuation, and water and forage for agriculture. Numerous studies have found these wetlands, which number in the millions, to be highly sensitive to climate variability. Here, we compare wetland conditions between two 30-year periods (1946-1975; 1976-2005) using a hindcast simulation approach to determine if recent climate warming in the region has already resulted in changes in wetland condition. Simulations using the WETLANDSCAPE model show that 20th century climate change may have been sufficient to have a significant impact on wetland cover cycling. Modeled wetlands in the PPR's western Canadian prairies show the most dramatic effects: a recent trend toward shorter hydroperiods and less dynamic vegetation cycles, which already may have reduced the productivity of hundreds of wetland-dependent species.

  9. Scientific services related to climate-induced natural hazards in the Vrancea Seismic Region, Romania

    Science.gov (United States)

    Sima, M.; Micu, D.; Dragota, C.; Chendes, V.; Micu, M.; Balteanu, D.

    2012-04-01

    Scientific services, regarded as a tool for offering different stakeholders and users with the necessary information adapted to their needs, are a major challenge to researchers nowadays. The paper aims to present an example of user-researcher interaction on issues related to climate-induced hazards in a highly seismic region of Romania. It is a case-study included in the FP7 ECLISE project which has in view the assessment of landslide and floods hazard and risk, as being the most important climate-induced natural hazards in the region. The main climate signals derived from the observational data indicate a tendency of precipitation concentration over short time intervals and the increase of their torrential character, combined during spring with long-lasting rains and snowmelt which generally led to a higher instability of the slopes due to landslides and flash floods. The Vrancea Seismic Region, considered being the most active sub-crustal earthquake province of Europe, with 3-5 earthquakes over magnitude 7 per century, is represented by the Curvature sector of the Carpathians and Subcarpathians of Romania. The region is affected by a large diversity of slope processes (especially landslides and mudflows) and flood and flash-flood events, generated by the morphometric traits of the small catchments, the loose lithology, the torrential features of rainfalls especially during the summer and by the severe changes occurred in the land cover characteristics after 1989 (large deforestation, property fragmentation, lack of interest in land-management works). Based on a comprehensive landslide inventory, the landslide susceptibility map (showing the probability of occurrence in space), obtained through statistical analysis and field/statistically-validated, would be completed with the hazard assessment, resulting from the correlation of landslide frequency and magnitude, rainfall triggering threshold and its returning period. The numerous elements at risk (transport and

  10. Regional climate change trends and uncertainty analysis using extreme indices: A case study of Hamilton, Canada

    National Research Council Canada - National Science Library

    Razavi, Tara; Switzman, Harris; Arain, Altaf; Coulibaly, Paulin

    2016-01-01

    .... Several different global climate models, downscaling methods, and emission scenarios were used to develop extreme temperature and precipitation indices at the local scale in the Hamilton region, Ontario, Canada...

  11. Climate change/variability science and adaptive strategies for state and regional transportation decision making.

    Science.gov (United States)

    2010-04-01

    The objective of this study was to generate a baseline understanding of current policy responses to climate : change/variability at the state and regional transportation-planning and -decision levels. Specifically, : researchers were interested in th...

  12. Implementing standards for the interoperability among healthcare providers in the public regionalized Healthcare Information System of the Lombardy Region.

    Science.gov (United States)

    Barbarito, Fulvio; Pinciroli, Francesco; Mason, John; Marceglia, Sara; Mazzola, Luca; Bonacina, Stefano

    2012-08-01

    Information technologies (ITs) have now entered the everyday workflow in a variety of healthcare providers with a certain degree of independence. This independence may be the cause of difficulty in interoperability between information systems and it can be overcome through the implementation and adoption of standards. Here we present the case of the Lombardy Region, in Italy, that has been able, in the last 10 years, to set up the Regional Social and Healthcare Information System, connecting all the healthcare providers within the region, and providing full access to clinical and health-related documents independently from the healthcare organization that generated the document itself. This goal, in a region with almost 10 millions citizens, was achieved through a twofold approach: first, the political and operative push towards the adoption of the Health Level 7 (HL7) standard within single hospitals and, second, providing a technological infrastructure for data sharing based on interoperability specifications recognized at the regional level for messages transmitted from healthcare providers to the central domain. The adoption of such regional interoperability specifications enabled the communication among heterogeneous systems placed in different hospitals in Lombardy. Integrating the Healthcare Enterprise (IHE) integration profiles which refer to HL7 standards are adopted within hospitals for message exchange and for the definition of integration scenarios. The IHE patient administration management (PAM) profile with its different workflows is adopted for patient management, whereas the Scheduled Workflow (SWF), the Laboratory Testing Workflow (LTW), and the Ambulatory Testing Workflow (ATW) are adopted for order management. At present, the system manages 4,700,000 pharmacological e-prescriptions, and 1,700,000 e-prescriptions for laboratory exams per month. It produces, monthly, 490,000 laboratory medical reports, 180,000 radiology medical reports, 180

  13. Adjustment of regional climate model output for modeling the climatic mass balance of all glaciers on Svalbard.

    NARCIS (Netherlands)

    Möller, M.; Obleitner, F.; Reijmer, C.H.; Pohjola, V.A.; Glowacki, P.; Kohler, J.

    2016-01-01

    Large-scale modeling of glacier mass balance relies often on the output from regional climate models (RCMs). However, the limited accuracy and spatial resolution of RCM output pose limitations on mass balance simulations at subregional or local scales. Moreover, RCM output is still rarely available

  14. A multi-hazard regional level impact assessment for Europe combining indicators of climatic and non-climatic change

    NARCIS (Netherlands)

    Lung, T.; Lavalle, C.; Hiederer, R.; Dosio, A.; Bouwer, L.M.

    2013-01-01

    To better prioritise adaptation strategies to a changing climate that are currently being developed, there is a need for quantitative regional level assessments that are systematic and comparable across multiple weather hazards. This study presents an indicator-based impact assessment framework at

  15. On the added value of the regional climate model REMO in the assessment of climate change signal over Central Africa

    Science.gov (United States)

    Fotso-Nguemo, Thierry C.; Vondou, Derbetini A.; Pokam, Wilfried M.; Djomou, Zéphirin Yepdo; Diallo, Ismaïla; Haensler, Andreas; Tchotchou, Lucie A. Djiotang; Kamsu-Tamo, Pierre H.; Gaye, Amadou T.; Tchawoua, Clément

    2017-12-01

    In this paper, the regional climate model REMO is used to investigate the added value of downscaling low resolutions global climate models (GCMs) and the climate change projections over Central Africa. REMO was forced by two GCMs (EC-Earth and MPI-ESM), for the period from 1950 to 2100 under the Representative Concentration Pathway 8.5 scenario. The performance of the REMO simulations for current climate is compared first with REMO simulation driven by ERA-Interim reanalysis, then by the corresponding GCMs in order to determine whether REMO outputs are able to effectively lead to added value at local scale. We found that REMO is generally able to better represent some aspects of the rainfall inter-annual variability, the daily rainfall intensity distribution as well as the intra-seasonal variability of the Central African monsoon, though few biases are still evident. It is also found that the boundary conditions strongly influences the spatial distribution of seasonal 2-m temperature and rainfall. From the analysis of the climate change signal from the present period 1976-2005 to the future 2066-2095, we found that all models project a warming at the end of the twenty-first century although the details of the climate change differ between REMO and the driving GCMs, specifically in REMO where we observe a general decrease in rainfall. This rainfall decrease is associated with delayed onset and anticipated recession of the Central African monsoon and a shortening of the rainy season. Small-scales variability of the climate change signal for 2-m temperature are usually smaller than that of the large-scales climate change part. For rainfall however, small-scales induce change of about 70% compared to the present climate statistics.

  16. Use of regional climate models data for groundwater recharge modelling in Baltic artesian basin

    Science.gov (United States)

    Timuhins, A.; Klints, I.; Sennikovs, J.; Virbulis, J.

    2012-04-01

    model is obtained (in comparison with penalty function value of the BAB model with constant infiltration). Impact of near and far future climate changes on the groundwater is estimated using the climate projections provided by RCM. Acknowledgements. This research was supported by the European Social Fund project "Establishment of interdisciplinary scientist group and modelling system for groundwater research" (Project Nr. 2009/0212/1DP/1.1.1.2.0/09/APIA/VIAA/060). Regional climate model data was provided through the ENSEMBLES data archive, funded by the EU FP6 Integrated Project ENSEMBLES (Contract number 505539).

  17. Investigating Cenozoic climate change in tectonically active regions with a high-resolution atmospheric general circulation model (ECHAM5)

    Science.gov (United States)

    Mutz, Sebastian; Ehlers, Todd; Li, Jingmin; Werner, Martin; Stepanek, Christian; Lohmann, Gerrit

    2016-04-01

    Studies of Cenozoic palaeo-climates contribute to our understanding of contemporary climate change by providing insight into analogues such as the Pliocene (PLIO), and by evaluation of GCM (General Circulation Models) performance using the Mid-Holocene (MH) and the Last Glacial Maximum (LGM). Furthermore, climate is a factor to be considered in the evolution of ecology, landscapes and mountains, and in the reconstruction of erosion histories. In this study, we use high-resolution (T159) ECHAM5 simulations to investigate pre-industrial (PI) and the the above mentioned palaeo-climates for four tectonically active regions: Alaska (St. Elias Range), the US Northwest Pacific (Cascade Range), western South America (Andes) and parts of Asia (Himalaya-Tibet). The PI climate simulation is an AMIP (Atmospheric Model Intercomparison Project) style ECHAM5 experiment, whereas MH and LGM simulation are based on simulations conducted at the Alfred Wegner Institute, Bremerhaven. Sea surface boundary conditions for MH were taken from coupled atmosphere-ocean model simulations (Wei and Lohmann, 2012; Zhang et al, 2013) and sea surface temperatures and sea ice concentration for the LGM are based on GLAMAP project reconstructions (Schäfer-Neth and Paul, 2003). Boundary conditions for the PLIO simulation are taken from the PRISM (Pliocene Research, Interpretation and Synoptic Mapping) project and the employed PLIO vegetation boundary condition is created by means of the transfer procedure for the PRISM vegetation reconstruction to the JSBACH plant functional types as described by Stepanek and Lohmann (2012). For each of the investigated areas and time slices, the regional simulated climates are described by means of cluster analyses based on the variability of precipitation, 2m air temperature and the intra-annual amplitude of the values. Results indicate the largest differences to a PI climate are observed for LGM and PLIO climates in the form of widespread cooling and warming

  18. Medical Providers as Global Warming and Climate Change Health Educators: A Health Literacy Approach

    Science.gov (United States)

    Villagran, Melinda; Weathers, Melinda; Keefe, Brian; Sparks, Lisa

    2010-01-01

    Climate change is a threat to wildlife and the environment, but it also one of the most pervasive threats to human health. The goal of this study was to examine the relationships among dimensions of health literacy, patient education about global warming and climate change (GWCC), and health behaviors. Results reveal that patients who have higher…

  19. WASCAL - West African Science Service Center on Climate Change and Adapted Land Use Regional Climate Simulations and Land-Atmosphere Simulations for West Africa at DKRZ and elsewhere

    Science.gov (United States)

    Hamann, Ilse; Arnault, Joel; Bliefernicht, Jan; Klein, Cornelia; Heinzeller, Dominikus; Kunstmann, Harald

    2014-05-01

    accompanied by the WASCAL Graduate Research Program on the West African Climate System. The GRP-WACS provides ten scholarships per year for West African PhD students with a duration of three years. Present and future WASCAL PhD students will constitute one important user group of the Linux cluster that will be installed at the Competence Center in Ouagadougou, Burkina Faso. Regional Land-Atmosphere Simulations A key research activity of the WASCAL Core Research Program is the analysis of interactions between the land surface and the atmosphere to investigate how land surface changes affect hydro-meteorological surface fluxes such as evapotranspiration. Since current land surface models of global and regional climate models neglect dominant lateral hydrological processes such as surface runoff, a novel land surface model is used, the NCAR Distributed Hydrological Modeling System (NDHMS). This model can be coupled to WRF (WRF-Hydro) to perform two-way coupled atmospheric-hydrological simulations for the watershed of interest. Hardware and network prerequisites include a HPC cluster, network switches, internal storage media, Internet connectivity of sufficient bandwidth. Competences needed are HPC, storage, and visualization systems optimized for climate research, parallelization and optimization of climate models and workflows, efficient management of highest data volumes.

  20. Climate Feedback: Bringing the Scientific Community to Provide Direct Feedback on the Credibility of Climate Media Coverage

    Science.gov (United States)

    Vincent, E. M.; Matlock, T.; Westerling, A. L.

    2015-12-01

    While most scientists recognize climate change as a major societal and environmental issue, social and political will to tackle the problem is still lacking. One of the biggest obstacles is inaccurate reporting or even outright misinformation in climate change coverage that result in the confusion of the general public on the issue.In today's era of instant access to information, what we read online usually falls outside our field of expertise and it is a real challenge to evaluate what is credible. The emerging technology of web annotation could be a game changer as it allows knowledgeable individuals to attach notes to any piece of text of a webpage and to share them with readers who will be able to see the annotations in-context -like comments on a pdf.Here we present the Climate Feedback initiative that is bringing together a community of climate scientists who collectively evaluate the scientific accuracy of influential climate change media coverage. Scientists annotate articles sentence by sentence and assess whether they are consistent with scientific knowledge allowing readers to see where and why the coverage is -or is not- based on science. Scientists also summarize the essence of their critical commentary in the form of a simple article-level overall credibility rating that quickly informs readers about the credibility of the entire piece.Web-annotation allows readers to 'hear' directly from the experts and to sense the consensus in a personal way as one can literaly see how many scientists agree with a given statement. It also allows a broad population of scientists to interact with the media, notably early career scientists.In this talk, we will present results on the impacts annotations have on readers -regarding their evaluation of the trustworthiness of the information they read- and on journalists -regarding their reception of scientists comments.Several dozen scientists have contributed to this effort to date and the system offers potential to

  1. Assessment of coastal vulnerability to climate change hazards at the regional scale: the case study of the North Adriatic Sea

    Directory of Open Access Journals (Sweden)

    S. Torresan

    2012-07-01

    Full Text Available Sea level rise, changes in storms and wave climate as a consequence of global climate change are expected to increase the size and magnitude of flooded and eroding coastal areas, thus having profound impacts on coastal communities and ecosystems. River deltas, beaches, estuaries and lagoons are considered particularly vulnerable to the adverse effects of climate change, which should be studied at the regional/local scale. This paper presents a regional vulnerability assessment (RVA methodology developed to analyse site-specific spatial information on coastal vulnerability to the envisaged effects of global climate change, and assist coastal communities in operational coastal management and conservation. The main aim of the RVA is to identify key vulnerable receptors (i.e. natural and human ecosystems in the considered region and localize vulnerable hot spot areas, which could be considered as homogeneous geographic sites for the definition of adaptation strategies. The application of the RVA methodology is based on a heterogeneous subset of bio-geophysical and socio-economic vulnerability indicators (e.g. coastal topography, geomorphology, presence and distribution of vegetation cover, location of artificial protection, which are a measure of the potential harm from a range of climate-related impacts (e.g. sea level rise inundation, storm surge flooding, coastal erosion. Based on a system of numerical weights and scores, the RVA provides relative vulnerability maps that allow to prioritize more vulnerable areas and targets of different climate-related impacts in the examined region and to support the identification of suitable areas for human settlements, infrastructures and economic activities, providing a basis for coastal zoning and land use planning. The implementation, performance and results of the methodology for the coastal area of the North Adriatic Sea (Italy are fully described in the paper.

  2. Validation of present-day regional climate simulations over Europe

    DEFF Research Database (Denmark)

    Christensen, J. H.; Machenhauer, B.; Jones, R. G.

    1997-01-01

    European limited-area models driven by observed boundary conditions (operational weather forecast analyses) are validated against observations, and inter-compared for summer and winter months. Relatively large biases are found. In summer large positive surface air temperature biases are found over......Nested limited-area modelling is one method of down-scaling general circulation model (GCM) climate change simulations. To give credibility to this method the nested limited-area model (LAM) must be shown to simulate local present-day climate conditions fairly accurately. Here seven different...... southeast Europe. The main reason is deficiencies in the surface hydrological schemes causing an unrealistic drying of the soil. In at least one of the models, most likely several of them, an additional factor is an overestimation of incoming solar radiation. Apart from excessive precipitation...

  3. Historical Arctic Logbooks Provide Insights into Past Diets and Climatic Responses of Cod.

    Directory of Open Access Journals (Sweden)

    Bryony L Townhill

    Full Text Available Gadus morhua (Atlantic cod stocks in the Barents Sea are currently at levels not seen since the 1950s. Causes for the population increase last century, and understanding of whether such large numbers will be maintained in the future, are unclear. To explore this, we digitised and interrogated historical cod catch and diet datasets from the Barents Sea. Seventeen years of catch data and 12 years of prey data spanning 1930-1959 cover unexplored spatial and temporal ranges, and importantly capture the end of a previous warm period, when temperatures were similar to those currently being experienced. This study aimed to evaluate cod catch per unit effort and prey frequency in relation to spatial, temporal and environmental variables. There was substantial spatio-temporal heterogeneity in catches through the time series. The highest catches were generally in the 1930s and 1940s, although at some localities more cod were recorded late in the 1950s. Generalized Additive Models showed that environmental, spatial and temporal variables are all valuable descriptors of cod catches, with the highest occurring from 15-45°E longitude and 73-77°N latitude, at bottom temperatures between 2 and 4°C and at depths between 150 and 250 m. Cod diets were highly variable during the study period, with frequent changes in the relative frequencies of different prey species, particularly Mallotus villosus (capelin. Environmental variables were particularly good at describing the importance of capelin and Clupea harengus (herring in the diet. These new analyses support existing knowledge about how the ecology of the region is controlled by climatic variability. When viewed in combination with more recent data, these historical relationships will be valuable in forecasting the future of Barents Sea fisheries, and in understanding how environments and ecosystems may respond.

  4. Historical Arctic Logbooks Provide Insights into Past Diets and Climatic Responses of Cod.

    Science.gov (United States)

    Townhill, Bryony L; Maxwell, David; Engelhard, Georg H; Simpson, Stephen D; Pinnegar, John K

    2015-01-01

    Gadus morhua (Atlantic cod) stocks in the Barents Sea are currently at levels not seen since the 1950s. Causes for the population increase last century, and understanding of whether such large numbers will be maintained in the future, are unclear. To explore this, we digitised and interrogated historical cod catch and diet datasets from the Barents Sea. Seventeen years of catch data and 12 years of prey data spanning 1930-1959 cover unexplored spatial and temporal ranges, and importantly capture the end of a previous warm period, when temperatures were similar to those currently being experienced. This study aimed to evaluate cod catch per unit effort and prey frequency in relation to spatial, temporal and environmental variables. There was substantial spatio-temporal heterogeneity in catches through the time series. The highest catches were generally in the 1930s and 1940s, although at some localities more cod were recorded late in the 1950s. Generalized Additive Models showed that environmental, spatial and temporal variables are all valuable descriptors of cod catches, with the highest occurring from 15-45°E longitude and 73-77°N latitude, at bottom temperatures between 2 and 4°C and at depths between 150 and 250 m. Cod diets were highly variable during the study period, with frequent changes in the relative frequencies of different prey species, particularly Mallotus villosus (capelin). Environmental variables were particularly good at describing the importance of capelin and Clupea harengus (herring) in the diet. These new analyses support existing knowledge about how the ecology of the region is controlled by climatic variability. When viewed in combination with more recent data, these historical relationships will be valuable in forecasting the future of Barents Sea fisheries, and in understanding how environments and ecosystems may respond.

  5. Downscaling a Global Climate Model to Simulate Climate Change Impacts on U.S. Regional and Urban Air Quality

    Science.gov (United States)

    Trail, M.; Tsimpidi, A. P.; Liu, P.; Tsigaridis, K.; Hu, Y.; Nenes, A.; Russell, A. G.

    2013-01-01

    Climate change can exacerbate future regional air pollution events by making conditions more favorable to form high levels of ozone. In this study, we use spectral nudging with WRF to downscale NASA earth system GISS modelE2 results during the years 2006 to 2010 and 2048 to 2052 over the continental United States in order to compare the resulting meteorological fields from the air quality perspective during the four seasons of five-year historic and future climatological periods. GISS results are used as initial and boundary conditions by the WRF RCM to produce hourly meteorological fields. The downscaling technique and choice of physics parameterizations used are evaluated by comparing them with in situ observations. This study investigates changes of similar regional climate conditions down to a 12km by 12km resolution, as well as the effect of evolving climate conditions on the air quality at major U.S. cities. The high resolution simulations produce somewhat different results than the coarse resolution simulations in some regions. Also, through the analysis of the meteorological variables that most strongly influence air quality, we find consistent changes in regional climate that would enhance ozone levels in four regions of the U.S. during fall (Western U.S., Texas, Northeastern, and Southeastern U.S), one region during summer (Texas), and one region where changes potentially would lead to better air quality during spring (Northeast). We also find that daily peak temperatures tend to increase in most major cities in the U.S. which would increase the risk of health problems associated with heat stress. Future work will address a more comprehensive assessment of emissions and chemistry involved in the formation and removal of air pollutants.

  6. Climate change and the microbiology of the Antarctic Peninsula region.

    Science.gov (United States)

    Pearce, David A

    2008-01-01

    Antarctic terrestrial ecosystems are cold, dry, low nutrient environments, with large temperature fluctuations and paradoxically low levels of water availability. These extreme environments are dominated by microorganisms (viruses, archaea, eubacteria, fungi and microsporidia, alveolata, stmramenopila, rhodophyta, green algae and protists), which can either tolerate or are adapted to exploit unfavourable growth conditions. However, climate change is altering the growth environment in Antarctica, and so selection pressures on these microorganisms are changing which, in turn, might affect microbial activity in key processes such as biogeochemical cycling. Although the direct effect of a change in, for example, temperature, is known for very few Antarctic microorganisms, molecular techniques (to monitor population structure) and genomic techniques (to identify specific gene function) are starting to give us an insight into what the potential effects of climate change might be at the cellular level. The key to how microorganisms respond to such change depends upon the rate and magnitude of the change along with the physiological capability of microorganisms to adapt or tolerate those changes. Here we will examine a number of case studies in which the effects of factors such as temperature, nutrient availability, grazing, salinity, seasonal cycle and carbon dioxide concentration have each been demonstrated to affect bacterial community structure in polar and alpine ecosystems. The results suggest that the spatial distribution of genetic variation and, hence, comparative rates of evolution, colonization and extinction are particularly important when considering the response of microbial communities to climate change.

  7. Sensitivity of the regional climate in the Middle East and North Africa to volcanic perturbations

    Science.gov (United States)

    Dogar, Muhammad Mubashar; Stenchikov, Georgiy; Osipov, Sergey; Wyman, Bruce; Zhao, Ming

    2017-08-01

    The Middle East and North Africa (MENA) regional climate appears to be extremely sensitive to volcanic eruptions. Winter cooling after the 1991 Pinatubo eruption far exceeded the mean hemispheric temperature anomaly, even causing snowfall in Israel. To better understand MENA climate variability, the climate responses to the El Chichón and Pinatubo volcanic eruptions are analyzed using observations, NOAA/National Centers for Environmental Prediction Climate Forecast System Reanalysis, and output from the Geophysical Fluid Dynamics Laboratory's High-Resolution Atmospheric Model. A multiple regression analysis both for the observations and the model output is performed on seasonal summer and winter composites to separate out the contributions from climate trends, El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Indian summer monsoon, and volcanic aerosols. Strong regional temperature and precipitation responses over the MENA region are found in both winter and summer. The model and the observations both show that a positive NAO amplifies the MENA volcanic winter cooling. In boreal summer, the patterns of changing temperature and precipitation suggest a weakening and southward shift of the Intertropical Convergence Zone, caused by volcanic surface cooling and weakening of the Indian and West African monsoons. The model captures the main features of the climate response; however, it underestimates the total cooling, especially in winter, and exhibits a different spatial pattern of the NAO climate response in MENA compared to the observations. The conducted analysis sheds light on the internal mechanisms of MENA climate variability and helps to selectively diagnose the model deficiencies.

  8. Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

    Science.gov (United States)

    Fraga, Helder; Malheiro, Aureliano C.; Moutinho-Pereira, José; Cardoso, Rita M.; Soares, Pedro M. M.; Cancela, Javier J.; Pinto, Joaquim G.; Santos, João A.

    2014-01-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate. PMID:25251495

  9. Integrated analysis of climate, soil, topography and vegetative growth in Iberian viticultural regions.

    Directory of Open Access Journals (Sweden)

    Helder Fraga

    Full Text Available The Iberian viticultural regions are convened according to the Denomination of Origin (DO and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate.

  10. Integrated Analysis of Climate, Soil, Topography and Vegetative Growth in Iberian Viticultural Regions

    Science.gov (United States)

    Fraga, Helder; Malheiro, Aureliano C.; Moutinho-Pereira, José; Cardoso, Rita M.; Soares, Pedro M. M.; Cancela, Javier J.; Pinto, Joaquim G.; Santos, João A.

    2015-04-01

    The Iberian viticultural regions are convened according to the Denomination of Origin (DO) and present different climates, soils, topography and management practices. All these elements influence the vegetative growth of different varieties throughout the peninsula, and are tied to grape quality and wine type. In the current study, an integrated analysis of climate, soil, topography and vegetative growth was performed for the Iberian DO regions, using state-of-the-art datasets. For climatic assessment, a categorized index, accounting for phenological/thermal development, water availability and grape ripening conditions was computed. Soil textural classes were established to distinguish soil types. Elevation and aspect (orientation) were also taken into account, as the leading topographic elements. A spectral vegetation index was used to assess grapevine vegetative growth and an integrated analysis of all variables was performed. The results showed that the integrated climate-soil-topography influence on vine performance is evident. Most Iberian vineyards are grown in temperate dry climates with loamy soils, presenting low vegetative growth. Vineyards in temperate humid conditions tend to show higher vegetative growth. Conversely, in cooler/warmer climates, lower vigour vineyards prevail and other factors, such as soil type and precipitation acquire more important roles in driving vigour. Vines in prevailing loamy soils are grown over a wide climatic diversity, suggesting that precipitation is the primary factor influencing vigour. The present assessment of terroir characteristics allows direct comparison among wine regions and may have great value to viticulturists, particularly under a changing climate.

  11. Adapting crop rotations to climate change in regional impact modelling assessments.

    Science.gov (United States)

    Teixeira, Edmar I; de Ruiter, John; Ausseil, Anne-Gaelle; Daigneault, Adam; Johnstone, Paul; Holmes, Allister; Tait, Andrew; Ewert, Frank

    2018-03-01

    The environmental and economic sustainability of future cropping systems depends on adaptation to climate change. Adaptation studies commonly rely on agricultural systems models to integrate multiple components of production systems such as crops, weather, soil and farmers' management decisions. Previous adaptation studies have mostly focused on isolated monocultures. However, in many agricultural regions worldwide, multi-crop rotations better represent local production systems. It is unclear how adaptation interventions influence crops grown in sequences. We develop a catchment-scale assessment to investigate the effects of tactical adaptations (choice of genotype and sowing date) on yield and underlying crop-soil factors of rotations. Based on locally surveyed data, a silage-maize followed by catch-crop-wheat rotation was simulated with the APSIM model for the RCP 8.5 emission scenario, two time periods (1985-2004 and 2080-2100) and six climate models across the Kaituna catchment in New Zealand. Results showed that direction and magnitude of climate change impacts, and the response to adaptation, varied spatially and were affected by rotation carryover effects due to agronomical (e.g. timing of sowing and harvesting) and soil (e.g. residual nitrogen, N) aspects. For example, by adapting maize to early-sowing dates under a warmer climate, there was an advance in catch crop establishment which enhanced residual soil N uptake. This dynamics, however, differed with local environment and choice of short- or long-cycle maize genotypes. Adaptation was insufficient to neutralize rotation yield losses in lowlands but consistently enhanced yield gains in highlands, where other constraints limited arable cropping. The positive responses to adaptation were mainly due to increases in solar radiation interception across the entire growth season. These results provide deeper insights on the dynamics of climate change impacts for crop rotation systems. Such knowledge can be used

  12. Provider-agency fit in substance abuse treatment organizations: implications for learning climate, morale, and evidence-based practice implementation.

    Science.gov (United States)

    Ramsey, Alex T; van den Berk-Clark, Carissa

    2015-05-12

    Substance abuse agencies have been slow to adopt and implement evidence-based practices (EBPs), due in part to poor provider morale and organizational climates that are not conducive to successful learning and integration of these practices. Person-organization fit theory suggests that alignment, or fit, between provider- and agency-level characteristics regarding the implementation of EBPs may influence provider morale and organizational learning climate and, thus, implementation success. The current study hypothesized that discrepancies, or lack of fit, between provider- and agency-level contextual factors would negatively predict provider morale and organizational learning climate, outcomes shown to be associated with successful EBP implementation. Direct service providers (n = 120) from four substance abuse treatment agencies responded to a survey involving provider morale, organizational learning climate, agency expectations for EBP use, agency resources for EBP use, and provider attitudes towards EBP use. Difference scores between combinations of provider- and agency-level factors were computed to model provider-agency fit. Quadratic regression analyses were conducted to more adequately and comprehensively model the level of the dependent variables across the entire "fit continuum". Discrepancies, or misfit, between agency expectations and provider attitudes and between agency resources and provider attitudes were associated with poorer provider morale and weaker organizational learning climate. For all hypotheses, the curvilinear model of provider-agency discrepancies significantly predicted provider morale and organizational learning climate, indicating that both directions of misfit (provider factors more favorable than agency factors, and vice-versa) were detrimental to morale and climate. However, outcomes were most negative when providers viewed EBPs favorably, but perceived that agency expectations and resources were less supportive of EBP use. The

  13. Quantification of climate tourism potential of Croatia based on measured data and regional modeling.

    Science.gov (United States)

    Brosy, Caroline; Zaninovic, Ksenija; Matzarakis, Andreas

    2014-08-01

    Tourism is one of the most important economic sectors in Croatia. The Adriatic coast is a popular travel destination for tourists, especially during the summer months. During their activities, tourists are affected by atmospheric conditions and therefore by weather and climate. Therefore, it is important to have reliable information about thermal conditions as well as their impacts on human beings. Here, the climate tourism potential of Croatia is presented and quantified on the basis of three selected stations in different climatic regions. The physiologically equivalent temperature is used for analysis as well as other climatic parameters relevant for tourism and recreation. The results already point to hot conditions for outdoor activities in summer during afternoons, especially along the coast but also for continental regions, resulting in a reduction of the climate tourism potential. In the future, this trend looks set to increase, possibly leading to a changing tourism sector in Croatia requiring adaptation and new strategies.

  14. Inductive analysis about the impact of climate warming on regional geomorphic evolution in arid area

    Science.gov (United States)

    Anayit, Mattohti; Abulizi, Mailiya

    2016-04-01

    Climate change on the surface of earth will produce a chain reaction among so many global natural environmental elements. Namely, all the issues will be affected by the climate change, just like the regional water environment, formation and development of landscape, plants and animals living environment, the survival of microorganisms, the human economic environment and health, and the whole social environment changes at well. But because of slow frequency of climate change and it is volatility change, its influence on other factors and the overall environmental performance is not obvious, and its reflection performs slowly. Using regional weather data, we calculated qualitatively and quantitatively and did analysis the impact of climate warming on Xinjiang (a province of China) geomorphic evolution elements, including the ground weather, erosion rate, collapse change, landslide occurrences changes and impact debris flow, combining the field survey and indoor test methods. Key words: climate change; the geomorphic induction; landscape change in river basin; Xinjiang

  15. Service providers' experiences and needs in working with refugees in the Geelong region: a qualitative study.

    Science.gov (United States)

    Jewson, Ashlee; Lamaro, Greer; Crisp, Beth R; Hanna, Lisa; Taket, Ann

    2015-01-01

    Service providers in Geelong, one of the priority locations for the resettlement of refugees in regional Australia, were interviewed to explore their perceptions of the health and wellbeing needs of refugees, and the capacity of service providers in a regional area to meet these. In all, 22 interviews were conducted with health and human service professionals in a range of organisations offering refugee-specific services, culturally and linguistically diverse (CALD) services in general, and services to the wider community, including refugees. The findings revealed that a more coordinated approach would increase the effectiveness of existing services; however, the various needs of refugees were more than could be met by organisations in the region at current resource levels. More staff and interpreting services were required, as well as professional development for staff who have had limited experience in working with refugees. It should not be assumed that service needs for refugees resettled in regional Australia will be the same as those of refugees resettled in capital cities. Some services provided in Melbourne were not available in Geelong, and there were services not currently provided to refugees that may be critical in facilitating resettlement in regional and rural Australia.

  16. Cooling Town - How landscape is affecting urban climates in mountain regions

    Science.gov (United States)

    Hammerle, Albin; Leitinger, Georg; Heinl, Michael

    2013-04-01

    Cities and urban areas are known to have a local climate different from that of surrounding rural landscapes. The so-called 'urban heat island' phenomenon results from the replacement of natural with impervious, non-evaporative surfaces such as concrete and asphalt. Urban areas usually have higher solar radiation absorption and a greater thermal conductivity and capacity that lead to greater heat storage during the day and heat release at night. This results in a modified climate that is warmer than the surrounding rural areas. Despite being often considered as 'heating islands', cities are not isolated from their environment and are affected by their thermal properties. Reports for the cities of Vienna (Austria) or Stuttgart (Germany) document the importance of the environmental setting for the climate in the cities. Especially large forest areas around the cities have shown to provide cooling and higher air quality. It is therefore not only the core urban area that needs to be considered for climatic effects but also the large-scale surrounding and environmental setting of the city. But only very few studies (e.g. for rice fields in Japan and Taiwan) specifically investigated this temperature effect of surrounding landscapes on urban areas. The research project "Cooling Town" (www.coolingtown.at) addresses this little knowledge on temperature regimes of urban areas and their thermal connectivity with surrounding landscapes, focusing on mountain environments. One major aspect in this research is to assess the summer temperature regime of the city of Bolzano in South Tyrol (northern Italy). The spatial distribution of air and surface temperatures is analyzed to derive rural and urban and regions with specific temperature regimes and climates and their connectivity. Twelve climate stations were placed in and around the city of Bolzano to measure air and surface temperatures together with wind parameters throughout summer 2012. Thermal infrared images were taken from

  17. Experiences with collaborative climate impacts assessments for regional governments in southwestern British Columbia

    Science.gov (United States)

    Sobie, S. R.; Murdock, T. Q.

    2016-12-01

    Infrastructure vulnerability assessments and adaptation planning have created demand for detailed information about climate change and extreme events from local and regional governments. Individual communities often have distinct priorities regarding climate change impacts. While projections from climate models are available to investigate these impacts, they are not always applicable or easily interpreted by local agencies. We discuss a series of climate impacts assessments for several regional and local governments in southwestern British Columbia. Each of the assessments was conducted with input from the users on project definition from the start of the process and on interpretation of results throughout each project. To produce sufficient detail for the assessment regions, we produce high-resolution (800m) simulations of precipitation and temperature using downscaled climate model projections. Sets of derived climate parameters tailored to each region are calculated from both standard indices such as CLIMDEX and from an energy-balance snowpack model. Involving user groups from the beginning of the analysis helps to convey the meaning and confidence of each set of climate change parameters to users and also clarifies what projections are feasible or not for impact assessments. We discuss the different levels of involvement and collaboration with each organization, and the resulting decisions implemented following each of the projects.

  18. Marine species in ambient low-oxygen regions subject to double jeopardy impacts of climate change.

    Science.gov (United States)

    Stortini, Christine H; Chabot, Denis; Shackell, Nancy L

    2017-06-01

    We have learned much about the impacts of warming on the productivity and distribution of marine organisms, but less about the impact of warming combined with other environmental stressors, including oxygen depletion. Also, the combined impact of multiple environmental stressors requires evaluation at the scales most relevant to resource managers. We use the Gulf of St. Lawrence, Canada, characterized by a large permanently hypoxic zone, as a case study. Species distribution models were used to predict the impact of multiple scenarios of warming and oxygen depletion on the local density of three commercially and ecologically important species. Substantial changes are projected within 20-40 years. A eurythermal depleted species already limited to shallow, oxygen-rich refuge habitat (Atlantic cod) may be relatively uninfluenced by oxygen depletion but increase in density within refuge areas with warming. A more stenothermal, deep-dwelling species (Greenland halibut) is projected to lose ~55% of its high-density areas under the combined impacts of warming and oxygen depletion. Another deep-dwelling, more eurythermal species (Northern shrimp) would lose ~4% of its high-density areas due to oxygen depletion alone, but these impacts may be buffered by warming, which may increase density by 8% in less hypoxic areas, but decrease density by ~20% in the warmest parts of the region. Due to local climate variability and extreme events, and that our models cannot project changes in species sensitivity to hypoxia with warming, our results should be considered conservative. We present an approach to effectively evaluate the individual and cumulative impacts of multiple environmental stressors on a species-by-species basis at the scales most relevant to managers. Our study may provide a basis for work in other low-oxygen regions and should contribute to a growing literature base in climate science, which will continue to be of support for resource managers as climate change

  19. Ensuring that the Sentinel-3A altimeter provides climate-quality data

    Science.gov (United States)

    Quartly, G. D.; Nencioli, F.; Labroue, S.; Femenias, P.; Scharroo, R.; Abdalla, S.; Bonnefond, P.; Cancet, M.; Frery, M.-L.; Raynal, M.; Baker, S.; Muir, A.; Brockley, D.; Shepherd, A.; Garcia, P.; Roca, M.; Calmant, S.; Cretaux, J.-F.

    2017-10-01

    Sentinel-3A, launched in February 2016, is part of ESA's long-term commitment to climate monitoring from space. Its suite of instruments for measuring surface topography includes a Microwave Radiometer (MWR) and SRAL, the first delay-Doppler instrument to provide global coverage. SRAL promises fine spatial resolution and reduced noise levels that should together lead to improved performance over all Earth surfaces. The Sentinel-3 Mission Performance Centre (S3MPC) has been developing the methodology to evaluate the accuracy of retrievals, monitor any changes and develop solutions to known problems. The S3MPC monitors internal temperatures, path delays and the shape of the generated pulses to assess the instruments health. The MWR records over known reference surfaces are compared with those from other spaceborne instruments. Over the ocean the SRAL's return pulses are analysed to give range to the sea surface, wave height and signal strength (which can be interpreted as wind speed). The metocean data are regularly contrasted with records from in situ measurements and the output from meteorological models, which rapidly highlights the effects of any changes in processing. Range information is used to give surface elevation, which is assessed in three ways. First, flights over a dedicated radar transponder provide an estimate of path delay to within 10 mm (r.m.s.). Second, measurements are compared to GPS-levelled surfaces near Corsica and over Lake Issyk-kul. Third, there are consistency checks between ascending and descending passes and with other missions. Further waveform analysis techniques are being developed to improve the retrieval of information over sea-ice, land-ice and inland waters.

  20. Climate Sensitivity Runs and Regional Hydrologic Modeling for Predicting the Response of the Greater Florida Everglades Ecosystem to Climate Change

    Science.gov (United States)

    Obeysekera, Jayantha; Barnes, Jenifer; Nungesser, Martha

    2015-04-01

    It is important to understand the vulnerability of the water management system in south Florida and to determine the resilience and robustness of greater Everglades restoration plans under future climate change. The current climate models, at both global and regional scales, are not ready to deliver specific climatic datasets for water resources investigations involving future plans and therefore a scenario based approach was adopted for this first study in restoration planning. We focused on the general implications of potential changes in future temperature and associated changes in evapotranspiration, precipitation, and sea levels at the regional boundary. From these, we developed a set of six climate and sea level scenarios, used them to simulate the hydrologic response of the greater Everglades region including agricultural, urban, and natural areas, and compared the results to those from a base run of current conditions. The scenarios included a 1.5 °C increase in temperature, ±10 % change in precipitation, and a 0.46 m (1.5 feet) increase in sea level for the 50-year planning horizon. The results suggested that, depending on the rainfall and temperature scenario, there would be significant changes in water budgets, ecosystem performance, and in water supply demands met. The increased sea level scenarios also show that the ground water levels would increase significantly with associated implications for flood protection in the urbanized areas of southeastern Florida.

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

    Science.gov (United States)

    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

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

    Science.gov (United States)

    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

  3. Interannual Variations in Growing-Season NDVI and Its Correlation with Climate Variables in the Southwestern Karst Region of China

    Directory of Open Access Journals (Sweden)

    Wenjuan Hou

    2015-08-01

    Full Text Available In this study, the updated Global Inventory Modeling and Mapping Studies (GIMMS Normalized Difference Vegetation Index (NDVI dataset for growing season (April to October, which can better reflect the vegetation vigor, was used to investigate the interannual variations in NDVI and its relationship with climatic factors, in order to preliminarily understand the climate impact on vegetation and provide theoretical basis for the response of ecosystem to climate change. Multivariate linear regression models, including the Ordinary Least Squares (OLS and Geographically Weighted Regression (GWR, were adopted to analyze the correlation between NDVI and climatic factors (temperature and precipitation together. Average growing-season NDVI significantly increased at a rate of 0.0015/year from 1982 to 2013, larger than several regions in China. On the whole, its relationship with temperature is positive and also stronger than precipitation, which indicated that temperature may be a limiting factor for the vegetation growth in the Karst region. Moreover, the correlation coefficients between grassland NDVI and climatic factors are the largest. Under the background of NDVI increasing trend from 1982 to 2013, the period of 2009–2012 was chosen to investigate the influencing factors of a sharp decline in NDVI. It can be found that the reduced temperature and solar radiation, caused by the increase in cloud cover and precipitation, may play important roles in the vegetation cover change. All in all, the systematic research on the interannual variations of growing-season NDVI and its relationship with climate revealed the heterogeneity and variability in the complicated climate change in the Karst ecosystem for the study area. It is the Karst characteristics that hinder obtaining more representative conclusions and tendencies in this region. Hence, more attention should be paid to promoting Karst research in the future.

  4. Development of hi-resolution regional climate scenarios in Japan by statistical downscaling

    Science.gov (United States)

    Dairaku, K.

    2016-12-01

    Climate information and services for Impacts, Adaptation and Vulnerability (IAV) Assessments are of great concern. To meet with the needs of stakeholders such as local governments, a Japan national project, Social Implementation Program on Climate Change Adaptation Technology (SI-CAT), launched in December 2015. It develops reliable technologies for near-term climate change predictions. Multi-model ensemble regional climate scenarios with 1km horizontal grid-spacing over Japan are developed by using CMIP5 GCMs and a statistical downscaling method to support various municipal adaptation measures appropriate for possible regional climate changes. A statistical downscaling method, Bias Correction Spatial Disaggregation (BCSD), is employed to develop regional climate scenarios based on CMIP5 RCP8.5 five GCMs (MIROC5, MRI-CGCM3, GFDL-CM3, CSIRO-Mk3-6-0, HadGEM2-ES) for the periods of historical climate (1970-2005) and near future climate (2020-2055). Downscaled variables are monthly/daily precipitation and temperature. File format is NetCDF4 (conforming to CF1.6, HDF5 compression). Developed regional climate scenarios will be expanded to meet with needs of stakeholders and interface applications to access and download the data are under developing. Statistical downscaling method is not necessary to well represent locally forced nonlinear phenomena, extreme events such as heavy rain, heavy snow, etc. To complement the statistical method, dynamical downscaling approach is also combined and applied to some specific regions which have needs of stakeholders. The added values of statistical/dynamical downscaling methods compared with parent GCMs are investigated.

  5. Application of regional climate models to the Indian winter monsoon over the western Himalayas.

    Science.gov (United States)

    Dimri, A P; Yasunari, T; Wiltshire, A; Kumar, P; Mathison, C; Ridley, J; Jacob, D

    2013-12-01

    The Himalayan region is characterized by pronounced topographic heterogeneity and land use variability from west to east, with a large variation in regional climate patterns. Over the western part of the region, almost one-third of the annual precipitation is received in winter during cyclonic storms embedded in westerlies, known locally as the western disturbance. In the present paper, the regional winter climate over the western Himalayas is analyzed from simulations produced by two regional climate models (RCMs) forced with large-scale fields from ERA-Interim. The analysis was conducted by the composition of contrasting (wet and dry) winter precipitation years. The findings showed that RCMs could simulate the regional climate of the western Himalayas and represent the atmospheric circulation during extreme precipitation years in accordance with observations. The results suggest the important role of topography in moisture fluxes, transport and vertical flows. Dynamical downscaling with RCMs represented regional climates at the mountain or even event scale. However, uncertainties of precipitation scale and liquid-solid precipitation ratios within RCMs are still large for the purposes of hydrological and glaciological studies. Copyright © 2013 Elsevier B.V. All rights reserved.

  6. Impacts of climate change on erosion in humid and dry Mediterranean regions of Portugal

    Science.gov (United States)

    Nunes, João Pedro; Marisa Santos, Juliana; Sampaio, Elsa; Corte-Real, João; Moreira, Madalena; Jacinto, Rita; Bernard-Jannin, Léonard

    2014-05-01

    Soils in the Mediterranean regions of Europe are often vulnerable to soil erosion, due to a combination of annual plant cover cycles, centuries of human use, the concentration of rainstorms in a short period of the year, and other factors. Climate change could bring about a warmer and drier climate, limiting vegetation growth while bringing heavier storms during winter. This could eventually lead to higher risks of soil losses and the consequential problems of land degradation and desertification. Project ERLAND, which began in 2009, is assessing these risks for two Mediterranean research catchments in Portugal, with four main goals: (i) collect data to understand hydrological and erosion processes in representative catchments; (ii) use this data to parameterize the SWAT eco-hydrological and erosion model as accurately as possible; (iii) use future socio-economic scenarios to estimate both impacts on climate change and on future land-use practices; and (iv) apply the SWAT model for these scenarios and estimate the consequences for soil erosion rates. The Macieira catchment is in a wet Mediterranean climate region, with high rainfall (c. 1300 mm.y-1) but a distinct summer dry season; erosion processes are associated with periods of sparse cover in autumn in fields with a pasture-corn rotation, but also with forest plantations after clear-cutting and especially after forest fires. The occurrence of a forest fire inside the catchment in 2011 allowed an analysis of the role played by this kind of disturbances on soil erosion. Climate change could bring less erosive rainfall events, but an increase in fire frequency, and therefore a potential shift of erosion from agriculture to forest land-uses. The Guadalupe catchment has a dry Mediterranean climate (rainfall of c. 550 mm.y-1); erosion processes occur mostly in permanent crops (olive trees) and winter cereal fields. Climate change could bring a concentration of rainfall in winter, as well as an increase in the area

  7. Climate Change and Regulation in International and Regional Level, Especially the Built Environment

    Directory of Open Access Journals (Sweden)

    Putnoki Zsuzsanna

    2015-12-01

    Full Text Available The article starts with a brief insight into the history of climate change, with a scope on the international and legal aspects of ever-changing regulations. The regional level is in the article is The European Union, as the only regional economic integration organization under the Kyoto Protocol. It deals with the United Nation’s international agreements like UNFCCC its Kyoto’s Protocol and the Post-Kyoto era. It also analyses the EU’s system in the climate change law with correspondence the international rules. Comparison between international and regional legislation in the climate change is used as a tool of analysis. Finally an insight is given into a special field in the climate change, the build environment, reflecting on the related United Nation’s recommendation and the EU’s regulation.

  8. Climate change, water, and agriculture: a study of two contrasting regions

    Science.gov (United States)

    Kirilenko, A.; Dronin, N.; Zhang, X.

    2009-12-01

    We present a study of potential impacts of climate change on water resources and agriculture in two contrasting regions, the Aral Sea basin in Central Asia and the Northern Great Plains in the United States. The Aral Sea basin is one of the most anthropogenically modified areas of the world; it is also a zone of a water-related ecological crisis. We concentrate on studying water security of five countries in the region, which inherit their water regulation from the planned economy of USSR. Water management was targeted at maximizing agricultural output through diverting the river flow into an extensive and largely ineffective network of irrigation canals. The current water crisis is largely due to human activity; however the region is also strongly impacted by the climate. Climate change will contribute to water problems, escalating irrigation demand during the drought period, and increasing water loss with evaporation. The future of the countries of the Aral Sea basin then depends on both the regional scenario of water management policy and a global scenario of climate change, and is integrated with global socioeconomic scenarios. We formulate a set of regional policy scenarios (“Business as Usual”, “Falling Behind” and “Closing the Gap”) and demonstrate how each of them corresponds to IPCC SRES scenarios, the latter used as an input to the General Circulation Models (GCMs). Then we discuss the relative effectiveness of the introduced scenarios for mitigating water problems in the region, taking into account the adaptation through changing water demand for agriculture. Finally, we introduce the results of multimodel analysis of GCM climate projections, especially in relation to the change in precipitation and frequency of droughts, and discuss the impact of climate change on future development of the region. In the same way as the Aral Sea basin, the Northern Great Plains is expected to be a region heavily impacted by climate change. We concentrate on

  9. Heat stress in cows at pasture and benefit of shade in a temperate climate region

    Science.gov (United States)

    Veissier, Isabelle; Van laer, Eva; Palme, Rupert; Moons, Christel P. H.; Ampe, Bart; Sonck, Bart; Andanson, Stéphane; Tuyttens, Frank A. M.

    2017-11-01

    Under temperate climates, cattle are often at pasture in summer and are not necessarily provided with shade. We aimed at evaluating in a temperate region (Belgium) to what extent cattle may suffer from heat stress (measured through body temperature, respiration rate and panting score, cortisol or its metabolites in milk, and feces on hot days) and at assessing the potential benefits of shade. During the summer of 2012, 20 cows were kept on pasture without access to shade. During the summer of 2011, ten cows had access to shade (young trees with shade cloth hung between them), whereas ten cows had no access. Climatic conditions were quantified by the Heat Load Index (HLI). In animals without access to shade respiration rates, panting scores, rectal temperatures, and milk cortisol concentrations increased as HLI increased in both 2011 and 2012. Fecal cortisol metabolites varied with HLI in 2011 only. When cattle had access to shade, their use of shade increased as the HLI increased. This effect was more pronounced during the last part of the summer, possibly due to better acquaintance with the shade construction. In this case, shade use increased to 65% at the highest HLI (79). Shade tempered the effects on respiration, rectal temperature, and fecal cortisol metabolites. Milk cortisol was not influenced by HLI for cows using shade for > 10% of the day. Therefore, even in temperate areas, cattle may suffer from heat when they are at pasture in summer and providing shade can reduce such stress.

  10. Interactive lakes in the Canadian Regional Climate Model, version 5: the role of lakes in the regional climate of North America

    Directory of Open Access Journals (Sweden)

    Bernard Dugas

    2012-02-01

    Full Text Available Two one-dimensional (1-D column lake models have been coupled interactively with a developmental version of the Canadian Regional Climate Model. Multidecadal reanalyses-driven simulations with and without lakes revealed the systematic biases of the model and the impact of lakes on the simulated North American climate.The presence of lakes strongly influences the climate of the lake-rich region of the Canadian Shield. Due to their large thermal inertia, lakes act to dampen the diurnal and seasonal cycle of low-level air temperature. In late autumn and winter, ice-free lakes induce large sensible and latent heat fluxes, resulting in a strong enhancement of precipitation downstream of the Laurentian Great Lakes, which is referred to as the snow belt.The FLake (FL and Hostetler (HL lake models perform adequately for small subgrid-scale lakes and for large resolved lakes with shallow depth, located in temperate or warm climatic regions. Both lake models exhibit specific strengths and weaknesses. For example, HL simulates too rapid spring warming and too warm surface temperature, especially in large and deep lakes; FL tends to damp the diurnal cycle of surface temperature. An adaptation of 1-D lake models might be required for an adequate simulation of large and deep lakes.

  11. Florida-focused climate change lesson demonstrations from the ASK Florida global and regional climate change professional development workshops

    Science.gov (United States)

    Weihs, R. R.

    2013-12-01

    A variety of Florida-focused climate change activities will be featured as part of the ASK Florida global and regional climate change professional development workshops. In a combined effort from Florida State University's Center for Ocean-Atmospheric Prediction Studies (COAPS) and University of South Florida's Coalition for Science Literacy (CSL), and supported by NASA's NICE initiative, the ASK Florida professional development workshops are a series of workshops designed to enhance and support climate change information and related pedagogical skills for middle school science teachers from Title-I schools in Florida. These workshops took place during a two-year period from 2011 to 2013 and consisted of two cohorts in Hillsborough and Volusia counties in Florida. Featured activities include lab-style exercises demonstrating topics such as storm surge and coastal geometry, sea level rise from thermal expansion, and the greenhouse effect. These types of labs are modified so that they allow more independent, inquiry thinking as they require teachers to design their own experiment in order to test a hypothesis. Lecture based activities are used to cover a broad range of topics including hurricanes, climate modeling, and sink holes. The more innovative activities are group activities that utilize roll-playing, technology and resources, and group discussion. For example, 'Climate Gallery Walk' is an activity that features group discussions on each of the climate literacy principles established by the United States Global Change Research Program. By observing discussions between individuals and groups, this activity helps the facilitators gather information on their previous knowledge and identify possible misconceptions that will be addressed within the workshops. Furthermore, 'Fact or Misconception' presents the challenge of identifying whether a given statement is fact or misconception based on the material covered throughout the workshops. It serves as a way to

  12. IRIS Reactor a Suitable Option to Provide Energy and Water Desalination for the Mexican Northwest Region

    Energy Technology Data Exchange (ETDEWEB)

    Alonso, G.; Ramirez, R.; Gomez, C.; Viais, J.

    2004-10-03

    The Northwest region of Mexico has a deficit of potable water, along this necessity is the region growth, which requires of additional energy capacity. The IRIS reactor offers a very suitable source of energy given its modular size of 300 MWe and it can be coupled with a desalination plant to provide the potable water for human consumption, agriculture and industry. The present paper assess the water and energy requirements for the Northwest region of Mexico and how the deployment of the IRIS reactor can satisfy those necessities. The possible sites for deployment of Nuclear Reactors are considered given the seismic constraints and the closeness of the sea for external cooling. And in the other hand, the size of the desalination plant and the type of desalination process are assessed accordingly with the water deficit of the region.

  13. Interaction of prehistoric climate, ecology, and cultures: An example from the Dolores River region of southwest Colorado

    Energy Technology Data Exchange (ETDEWEB)

    Peterson, K.L. [Washington State Univ., Richland, WA (United States)

    1995-09-01

    Greenhouse theory suggests global climatic variation will exceed the historical records as the lower atmosphere warms in response to a rise in the concentrations of carbon dioxide, methane, and other gases. The sharp contrast between the large predicted future change and the small climatic changes recorded during the last century indicates that this later period may offer an insufficient basis for appreciating the projected future climate and vegetation changes. Examination of larger-than-historic climatic changes that have occurred in the past (such as those in the Dolores River region) provide a context for evaluating possible future changes and their implications for environmental restoration and land use planning. The zenith of Anasazi Pueblo Indian occupation in the northern Colorado Plateau region coincides with the Little Climatic Optimum (AD 900-1300), and its demise coincides with the Little Ice Age (AD 1250-1300 to AD 1850-1890). Pollen and tree-ring derived indexes of winter and summerprecipitation and growing season length were developed for the La Plata Mountains region of southwestern Colorado. The results show during the height of the Little Climatic Optimum (AD 1000-1100) the region was characterized by a relatively long growing season and by a potential dry farming zone or elevational belt twice as wide as present and supporting Anasazi upland dry farming down to at least 1600 m, an elevation impossible to dry farm today. Between AD 1100 and 1300 the potential dry-farm belt narrowed and finally disappeared with the onset of a period of markedly colder and drier conditions than current. When the Little Ice Age ended in the mid-1800s, another group of farmers (modern Anglos) were able to dry farm. If previous conditions were to return in the near future due to the effects of greenhouse warming, such conditions would be very beneficial to dry farmers.

  14. Adaptation Strategies of Wheat to Climate Change (Case Study: Ahvaz Region

    Directory of Open Access Journals (Sweden)

    M. Delghandi

    2016-10-01

    Full Text Available Introduction In recent years human activities induced increases in atmospheric carbon dioxide (CO2. Increases in [CO2] caused global warming and Climate change. Climate change is anticipated to cause negative and adverse impacts on agricultural systems throughout the world. Higher temperatures are expected to lead to a host of problems. On the other hand, increasing of [CO2] anticipated causing positive impacts on crop yield. Considering the socio-economic importance of agriculture for food security, it is essential to undertake assessments of how future climate change could affect crop yields, so as to provide necessary information to implement appropriate adaptation strategies. In this perspective, the aim of this study was to assess potential climate change impacts and on production for one of the most important varieties of wheat (chamran in Khouzestan plain and provide directions for possible adaptation strategies. Materials and Methods: For this study, The Ahvaz region located in the Khuzestan province of Iran was selected. Ahvaz has a desert climate with long, very hot summers and mild, short winters. At first, thirteen GCM models and two greenhouse gases emission (GHG scenarios (A2 and B1 was selected for determination of climate change scenarios. ∆P and ∆T parameters at monthly scale were calculated for each GCM model under each GHG emissions scenario by following equation: Where ∆P, ∆T are long term (thirty years precipitation and temperature differences between baseline and future period, respectively. average future GCM temperature (2015-2044 for each month, , average baseline period GCM temperature (1971-2000 for each month, , average future GCM precipitation for each month, , average baseline period GCM temperature (1971-2000 for each month and i is index of month. Using calculated ∆Ps for each month via AOGCM models and Beta distribution, Cumulative probability distribution function (CDF determined for generated ∆Ps.

  15. Assessing Regional Scale Variability in Extreme Value Statistics Under Altered Climate Scenarios

    Energy Technology Data Exchange (ETDEWEB)

    Brunsell, Nathaniel [Univ. of Kansas, Lawrence, KS (United States); Mechem, David [Univ. of Kansas, Lawrence, KS (United States); Ma, Chunsheng [Wichita State Univ., KS (United States)

    2015-02-20

    Recent studies have suggested that low-frequency modes of climate variability can significantly influence regional climate. The climatology associated with extreme events has been shown to be particularly sensitive. This has profound implications for droughts, heat waves, and food production. We propose to examine regional climate simulations conducted over the continental United States by applying a recently developed technique which combines wavelet multi–resolution analysis with information theory metrics. This research is motivated by two fundamental questions concerning the spatial and temporal structure of extreme events. These questions are 1) what temporal scales of the extreme value distributions are most sensitive to alteration by low-frequency climate forcings and 2) what is the nature of the spatial structure of variation in these timescales? The primary objective is to assess to what extent information theory metrics can be useful in characterizing the nature of extreme weather phenomena. Specifically, we hypothesize that (1) changes in the nature of extreme events will impact the temporal probability density functions and that information theory metrics will be sensitive these changes and (2) via a wavelet multi–resolution analysis, we will be able to characterize the relative contribution of different timescales on the stochastic nature of extreme events. In order to address these hypotheses, we propose a unique combination of an established regional climate modeling approach and advanced statistical techniques to assess the effects of low-frequency modes on climate extremes over North America. The behavior of climate extremes in RCM simulations for the 20th century will be compared with statistics calculated from the United States Historical Climatology Network (USHCN) and simulations from the North American Regional Climate Change Assessment Program (NARCCAP). This effort will serve to establish the baseline behavior of climate extremes, the

  16. Development of Crop Yield Estimation Method by Applying Seasonal Climate Prediction in Asia-Pacific Region

    Science.gov (United States)

    Shin, Y.; Lee, E.

    2015-12-01

    Under the influence of recent climate change, abnormal weather condition such as floods and droughts has issued frequently all over the world. The occurrence of abnormal weather in major crop production areas leads to soaring world grain prices because it influence the reduction of crop yield. Development of crop yield estimation method is important means to accommodate the global food crisis caused by abnormal weather. However, due to problems with the reliability of the seasonal climate prediction, application research on agricultural productivity has not been much progress yet. In this study, it is an object to develop long-term crop yield estimation method in major crop production countries worldwide using multi seasonal climate prediction data collected by APEC Climate Center. There are 6-month lead seasonal predictions produced by six state-of-the-art global coupled ocean-atmosphere models(MSC_CANCM3, MSC_CANCM4, NASA, NCEP, PNU, POAMA). First of all, we produce a customized climate data through temporal and spatial downscaling methods for use as a climatic input data to the global scale crop model. Next, we evaluate the uncertainty of climate prediction by applying multi seasonal climate prediction in the crop model. Because rice is the most important staple food crop in the Asia-Pacific region, we assess the reliability of the rice yields using seasonal climate prediction for main rice production countries. RMSE(Root Mean Squire Error) and TCC(Temporal Correlation Coefficient) analysis is performed in Asia-Pacific countries, major 14 rice production countries, to evaluate the reliability of the rice yield according to the climate prediction models. We compare the rice yield data obtained from FAOSTAT and estimated using the seasonal climate prediction data in Asia-Pacific countries. In addition, we show that the reliability of seasonal climate prediction according to the climate models in Asia-Pacific countries where rice cultivation is being carried out.

  17. Impacts of boundary condition changes on regional climate projections over West Africa

    Science.gov (United States)

    Kim, Jee Hee; Kim, Yeonjoo; Wang, Guiling

    2017-06-01

    Future projections using regional climate models (RCMs) are driven with boundary conditions (BCs) typically derived from global climate models. Understanding the impact of the various BCs on regional climate projections is critical for characterizing their robustness and uncertainties. In this study, the International Center for Theoretical Physics Regional Climate Model Version 4 (RegCM4) is used to investigate the impact of different aspects of boundary conditions, including lateral BCs and sea surface temperature (SST), on projected future changes of regional climate in West Africa, and BCs from the coupled European Community-Hamburg Atmospheric Model 5/Max Planck Institute Ocean Model are used as an example. Historical, future, and several sensitivity experiments are conducted with various combinations of BCs and CO2 concentration, and differences among the experiments are compared to identify the most important drivers for RCMs. When driven by changes in all factors, the RegCM4-produced future climate changes include significantly drier conditions in Sahel and wetter conditions along the Guinean coast. Changes in CO2 concentration within the RCM domain alone or changes in wind vectors at the domain boundaries alone have minor impact on projected future climate changes. Changes in the atmospheric humidity alone at the domain boundaries lead to a wetter Sahel due to the northward migration of rain belts during summer. This impact, although significant, is offset and dominated by changes of other BC factors (primarily temperature) that cause a drying signal. Future changes of atmospheric temperature at the domain boundaries combined with SST changes over oceans are sufficient to cause a future climate that closely resembles the projection that accounts for all factors combined. Therefore, climate variability and changes simulated by RCMs depend primarily on the variability and change of temperature aspects of the RCM BCs. Moreover, it is found that the response

  18. Investigating the impact of correcting regional climate scenarios on the projected changes in river runoff

    Science.gov (United States)

    Muerth, M.; Gauvin St-Denis, B.; Ricard, S.; Velázquez, J. A.; Schmid, F. J.; Ludwig, R.; Chaumont, D.; Turcotte, R.

    2012-04-01

    In Climate Change impact research, the projection of future river runoff as well as the catchment scale water balance is impeded by different sources of predictive uncertainty. Some research has already been done in order to quantify the uncertainty of regional climate projections with regard to the applied climate models and downscaling techniques as well as the internal variability apparent in climate model member ensembles. Yet, the use of hydrological models adds another layer of incertitude. Within the QBic3 (Québec-Bavaria International Collaboration on Climate Change) project the uncertainties in the whole model chain (from global climate models to water management models) are investigated in four humid, mid-latitude catchments located in Southern Québec (Canada) and Southern Germany using an ensemble of multiple climate and hydrological models. Although there are many options to downscale global climate projections to the regional scale, many recent impact studies have used Regional Climate Models. One reason for that is that the physical correlations between atmospheric variables is preserved, especially between temperature and precipitation. Yet, the RCM outputs often are biased compared to the observed climatology of a region, so often the biases in those outputs are corrected to reproduce historic runoff conditions, even if those corrections alter the relationship between temperature and precipitation. For those reasons, the effect of bias correction on the relative changes in runoff indicators, which identify those conditions especially important for water management decisions, is explored. If bias correction affects the conclusion, we should consider BC as a source of uncertainty. If not, there is no need to correct these biases. The presented results highlight the analysis of daily runoff simulated with four different hydrological models in two natural-flow sub-catchments, driven by different regional climate model outputs for a reference (1971

  19. Climatic variability of river outflow in the Pantanal region and the influence of sea surface temperature

    Science.gov (United States)

    Silva, Carlos Batista; Silva, Maria Elisa Siqueira; Ambrizzi, Tércio

    2017-07-01

    This paper investigates possible linear relationships between climate, hydrology, and oceanic surface variability in the Pantanal region (in South America's central area), over interannual and interdecadal time ranges. In order to verify the mentioned relations, lagged correlation analysis and linear adjustment between river discharge at the Pantanal region and sea surface temperature were used. Composite analysis for atmospheric fields, air humidity flux divergence, and atmospheric circulation at low and high levels, for the period between 1970 and 2003, was analyzed. Results suggest that the river discharge in the Pantanal region is linearly associated with interdecadal and interannual oscillations in the Pacific and Atlantic oceans, making them good predictors to continental hydrological variables. Considering oceanic areas, 51 % of the annual discharge in the Pantanal region can be linearly explained by mean sea surface temperature (SST) in the Subtropical North Pacific, Tropical North Pacific, Extratropical South Pacific, and Extratropical North Atlantic over the period. Considering a forecast approach in seasonal scale, 66 % of the monthly discharge variance in Pantanal, 3 months ahead of SST, is explained by the oceanic variables, providing accuracy around 65 %. Annual discharge values in the Pantanal region are strongly related to the Pacific Decadal Oscillation (PDO) variability (with 52 % of linear correlation), making it possible to consider an interdecadal variability and a consequent subdivision of the whole period in three parts: 1st (1970-1977), 2nd (1978-1996), and 3rd (1997-2003) subperiods. The three subperiods coincide with distinct PDO phases: negative, positive, and negative, respectively. Convergence of humidity flux at low levels and the circulation pattern at high levels help to explain the drier and wetter subperiods. During the wetter 2nd subperiod, the air humidity convergence at low levels is much more evident than during the other two

  20. Late-Holocene climate variability in southern New Zealand: A multi-proxy study of lake sediments from Lake Ohau to reconstruct regional climate

    Science.gov (United States)

    Roop, H. A.; Vandergoes, M. J.; Levy, R. H.; Dunbar, G.; Upton, P.; Stumpner, P.; Fitzsimons, S.; Howarth, J. D.; Ditchburn, R.; Wilson, G. S.; Purdie, J.

    2012-12-01

    Driving this research is the need to improve understanding of synoptic climate systems influencing climate in southern New Zealand and to document changes in the character of these systems beyond the historical record. Inter-annual variability of New Zealand's climate (e.g. temperature and precipitation) is influenced by large-scale patterns originating in both the tropics (El-Niño-Southern Oscillation, Interdecadal Pacific Oscillation) and the Antarctic (Southern Annular Mode). Currently, very few highly resolved climate reconstructions exist in mid-latitudes of the Southern Hemisphere. The identification of annually laminated sediments in Lake Ohau, Mackenzie Basin, New Zealand (44.234°S, 169.854°E) offers a unique opportunity to investigate changes in regional hydrology and climate, and by extension also explore connections to large-scale climate patterns. Importantly, Lake Ohau is situated east of and in the lee of the Southern Alps, rendering the region characteristically dry and sensitive to small fluctuations in precipitation and temperature. Short cores (<6 meters) from Lake Ohau contain layered sedimentary couplets, which 137Cs and 210Pb analyses suggest represent annual accumulation of terrigenous sediment at an average rate of 0.5 cm a-1. Core imaging (RGB, L*), density, and magnetic susceptibility data were acquired using a GeoTek multi-sensor core logger. Here we present an initial assessment of couplet characteristics based on thin-sections, grain size analysis, and GeoTek output. Extensive limnological monitoring, including acoustic Doppler profilers, thermister strings, sediment traps, and turbidity meters will help to further develop a detailed understanding of processes driving seasonal sediment deposition in Lake Ohau. These limnological data, and preliminary correlations with lake inflow data (1924-2012), and local precipitation and temperature data (1910-2012) will also be presented. This work provides the foundation for reconstructing the

  1. Assessment of Impacts of Climate Variability on Crop Yield over the Terai Region of Nepal

    Science.gov (United States)

    Subedi, S.; Acharya, A.

    2015-12-01

    Agricultural sector in Nepal which alone contributes about 42 % of the total GDP have a huge influence on national economy. This sector is very much susceptible to climate change. This study is emphasized on Terai region (situated at an altitude of 60m to 300m) of Nepal which investigates the impacts of climate variability on various stages of cropping (paddy) periods such as transplant, maturity and harvest. The climate variables namely temperature and rainfall are used to explore the relationship between climate and paddy yields based on 30 years of historical observed data. Observed monthly rainfall and temperature data are collected from the department of hydrology and meteorology, and paddy yield data are collected from the Ministry of Agricultural Development. A correlation analysis will be carried out between the backward difference filtered climate parameters and the backward difference filtered rice yield. This study will also analyze average monthly and annual rainfall, and, min, max and mean temperature during the period of 1981-2010 based on 15 synoptic stations of Nepal. This study will visualize rainfall and temperature distribution over Nepal, and also evaluate the effect of change in rainfall and temperature in the paddy yield. While evaluating the impacts of climate on crop yield, this study will not consider the impact of irrigation in crop yield. The major results, climate distribution and its local/regional impacts on agriculture, could be utilized by planners, decision makers, and climate and agricultural scientists as a basis in formulating/implementing future plans, policies and projects.

  2. Climatic change of summer temperature and precipitation in the Alpine region - a statistical-dynamical assessment

    Energy Technology Data Exchange (ETDEWEB)

    Heimann, D.; Sept, V.

    1998-12-01

    Climatic changes in the Alpine region due to increasing greenhouse gas concentrations are assessed by using statistical-dynamical downscaling. The downscaling procedure is applied to two 30-year periods (1971-2000 and 2071-2100, summer months only) of the output of a transient coupled ocean/atmosphere climate scenario simulation. The downscaling results for the present-day climate are in sufficient agreement with observations. The estimated regional climate change during the next 100 years shows a general warming. The mean summer temperatures increase by about 3 to more than 5 Kelvin. The most intense climatic warming is predicted in the western parts of the Alps. The amount of summer precipitation decreases in most parts of central Europe by more than 20 percent. Only over the Adriatic area and parts of eastern central Europe an increase in precipitation is simulated. The results are compared with observed trends and results of regional climate change simulations of other authors. The observed trends and the majority of the simulated trends agree with our results. However, there are also climate change estimates which completely contradict with ours. (orig.) 29 refs.

  3. Impact of climate change upon vector born diseases in Europe and Africa using ENSEMBLES Regional Climate Models

    Science.gov (United States)

    Caminade, Cyril; Morse, Andy

    2010-05-01

    Climate variability is an important component in determining the incidence of a number of diseases with significant human/animal health and socioeconomic impacts. The most important diseases affecting health are vector-borne, such as malaria, Rift Valley Fever and including those that are tick borne, with over 3 billion of the world population at risk. Malaria alone is responsible for at least one million deaths annually, with 80% of malaria deaths occurring in sub-Saharan Africa. The climate has a large impact upon the incidence of vector-borne diseases; directly via the development rates and survival of both the pathogen and the vector, and indirectly through changes in the environmental conditions. A large ensemble of regional climate model simulations has been produced within the ENSEMBLES project framework for both the European and African continent. This work will present recent progress in human and animal disease modelling, based on high resolution climate observations and regional climate simulations. Preliminary results will be given as an illustration, including the impact of climate change upon bluetongue (disease affecting the cattle) over Europe and upon malaria and Rift Valley Fever over Africa. Malaria scenarios based on RCM ensemble simulations have been produced for West Africa. These simulations have been carried out using the Liverpool Malaria Model. Future projections highlight that the malaria incidence decreases at the northern edge of the Sahel and that the epidemic belt is shifted southward in autumn. This could lead to significant public health problems in the future as the demography is expected to dramatically rise over Africa for the 21st century.

  4. Assessment of CORDEX-South Asia experiments for monsoonal precipitation over Himalayan region for future climate

    Science.gov (United States)

    Choudhary, A.; Dimri, A. P.

    2017-07-01

    Precipitation is one of the important climatic indicators in the global climate system. Probable changes in monsoonal (June, July, August and September; hereafter JJAS) mean precipitation in the Himalayan region for three different greenhouse gas emission scenarios (i.e. representative concentration pathways or RCPs) and two future time slices (near and far) are estimated from a set of regional climate simulations performed under Coordinated Regional Climate Downscaling Experiment-South Asia (CORDEX-SA) project. For each of the CORDEX-SA simulations and their ensemble, projections of near future (2020-2049) and far future (2070-2099) precipitation climatology with respect to corresponding present climate (1970-2005) over Himalayan region are presented. The variability existing over each of the future time slices is compared with the present climate variability to determine the future changes in inter annual fluctuations of monsoonal mean precipitation. The long-term (1970-2099) trend (mm/day/year) of monsoonal mean precipitation spatially distributed as well as averaged over Himalayan region is analyzed to detect any change across twenty-first century as well as to assess model uncertainty in simulating the precipitation changes over this period. The altitudinal distribution of difference in trend of future precipitation from present climate existing over each of the time slices is also studied to understand any elevation dependency of change in precipitation pattern. Except for a part of the Hindu-Kush area in western Himalayan region which shows drier condition, the CORDEX-SA experiments project in general wetter/drier conditions in near future for western/eastern Himalayan region, a scenario which gets further intensified in far future. Although, a gradually increasing precipitation trend is seen throughout the twenty-first century in carbon intensive scenarios, the distribution of trend with elevation presents a very complex picture with lower elevations

  5. Changes in the convective population and thermodynamic environments in convection-permitting regional climate simulations over the United States

    Science.gov (United States)

    Rasmussen, K. L.; Prein, A. F.; Rasmussen, R. M.; Ikeda, K.; Liu, C.

    2017-11-01

    Novel high-resolution convection-permitting regional climate simulations over the US employing the pseudo-global warming approach are used to investigate changes in the convective population and thermodynamic environments in a future climate. Two continuous 13-year simulations were conducted using (1) ERA-Interim reanalysis and (2) ERA-Interim reanalysis plus a climate perturbation for the RCP8.5 scenario. The simulations adequately reproduce the observed precipitation diurnal cycle, indicating that they capture organized and propagating convection that most climate models cannot adequately represent. This study shows that weak to moderate convection will decrease and strong convection will increase in frequency in a future climate. Analysis of the thermodynamic environments supporting convection shows that both convective available potential energy (CAPE) and convective inhibition (CIN) increase downstream of the Rockies in a future climate. Previous studies suggest that CAPE will increase in a warming climate, however a corresponding increase in CIN acts as a balancing force to shift the convective population by suppressing weak to moderate convection and provides an environment where CAPE can build to extreme levels that may result in more frequent severe convection. An idealized investigation of fundamental changes in the thermodynamic environment was conducted by shifting a standard atmospheric profile by ± 5 °C. When temperature is increased, both CAPE and CIN increase in magnitude, while the opposite is true for decreased temperatures. Thus, even in the absence of synoptic and mesoscale variations, a warmer climate will provide more CAPE and CIN that will shift the convective population, likely impacting water and energy budgets on Earth.

  6. Constructing regional climate networks in the Amazonia during recent drought events.

    Science.gov (United States)

    Guo, Heng; Ramos, Antônio M T; Macau, Elbert E N; Zou, Yong; Guan, Shuguang

    2017-01-01

    Climate networks are powerful approaches to disclose tele-connections in climate systems and to predict severe climate events. Here we construct regional climate networks from precipitation data in the Amazonian region and focus on network properties under the recent drought events in 2005 and 2010. Both the networks of the entire Amazon region and the extreme networks resulted from locations severely affected by drought events suggest that network characteristics show slight difference between the two drought events. Based on network degrees of extreme drought events and that without drought conditions, we identify regions of interest that are correlated to longer expected drought period length. Moreover, we show that the spatial correlation length to the regions of interest decayed much faster in 2010 than in 2005, which is because of the dual roles played by both the Pacific and Atlantic oceans. The results suggest that hub nodes in the regional climate network of Amazonia have fewer long-range connections when more severe drought conditions appeared in 2010 than that in 2005.

  7. NOAA/NCEI/Regional Climate Services: Working with Partners and Stakeholders across a Wide Network

    Science.gov (United States)

    Mecray, E. L.

    2015-12-01

    Federal agencies all require plans to be prepared at the state level that outline the implementation of funding to address wildlife habitat, human health, transportation infrastructure, coastal zone management, environmental management, emergency management, and others. These plans are now requiring the consideration of changing climate conditions. So where does a state turn to discuss lessons learned, obtain tools and information to assess climate conditions, and to work with other states in their region? Regional networks and collaboratives are working to deliver this sector by sector. How do these networks work? Do they fit together in any way? What similarities and differences exist? Is anyone talking across these lines to find common climate information requirements? A sketch is forming that links these efforts, not by blending the sectors, but by finding the areas where coordination is critical, where information needs are common, and where delivery mechanisms can be streamlined. NOAA/National Centers for Environmental Information's Regional Climate Services Directors have been working at the interface of stakeholder-driven information delivery since 2010. This talk will outline the regional climate services delivery framework for the Eastern Region, with examples of regional products and information.

  8. The Climate Signal in Regional Moisture Fluxes: A Comparison of Three Global Data Assimilation Products

    Science.gov (United States)

    Min, Wei; Schubert, Siegfried D.

    1997-01-01

    This study assesses the quality of estimates of climate variability in moisture flux and convergence from three assimilated data sets: two are reanalysis products generated at the Goddard Data Assimilation Office (DAO) and the National Centers for Environmental Prediction/National Centers for Atmospheric Research (NCEPJNCAR), and the third consists of the operational analyses generated at the European Center for Medium Range Forecasts (ECMWF). The regions under study (the United States Great Plains, the Indian monsoon region, and Argentina east of the Andes) are characterized by frequent low level jets (LLJs) and other interannual low level wind variations tied to the large-scale flow. While the emphasis is on the reanalysis products, the comparison with the operational product is provided to help assess the improvements gained from a fixed analysis system. All three analyses capture the main moisture flux anomalies associated with selected extreme climate (drought and flood) events during the period 1985-93. The correspondence is strongest over the Great Plains and weakest over the Indian monsoon region reflecting differences in the observational coverage. For the reanalysis products, the uncertainties in the lower tropospheric winds is by far the dominant source of the discrepancies in the moisture flux anomalies in the middle latitude regions. Only in the Indian Monsoon region, where interannual variability in the low level winds is comparatively small, does the moisture bias play a substantial role. In contrast, the comparisons with the operational product show differences in moisture which are comparable torhe differences in the wind in all three regions. Compared with the fluxes, the anomalous moisture convergences show substantially larger differences among the three products. The best agreement occurs over the Great Plains region where all three products show vertically-integrated moisture convergence during the floods and divergence during the drought with

  9. Methodological challenges to bridge the gap between regional climate and hydrology models

    Science.gov (United States)

    Bozhinova, Denica; José Gómez-Navarro, Juan; Raible, Christoph; Felder, Guido

    2017-04-01

    The frequency and severity of floods worldwide, together with their impacts, are expected to increase under climate change scenarios. It is therefore very important to gain insight into the physical mechanisms responsible for such events in order to constrain the associated uncertainties. Model simulations of the climate and hydrological processes are important tools that can provide insight in the underlying physical processes and thus enable an accurate assessment of the risks. Coupled together, they can provide a physically consistent picture that allows to assess the phenomenon in a comprehensive way. However, climate and hydrological models work at different temporal and spatial scales, so there are a number of methodological challenges that need to be carefully addressed. An important issue pertains the presence of biases in the simulation of precipitation. Climate models in general, and Regional Climate models (RCMs) in particular, are affected by a number of systematic biases that limit their reliability. In many studies, prominently the assessment of changes due to climate change, such biases are minimised by applying the so-called delta approach, which focuses on changes disregarding absolute values that are more affected by biases. However, this approach is not suitable in this scenario, as the absolute value of precipitation, rather than the change, is fed into the hydrological model. Therefore, bias has to be previously removed, being this a complex matter where various methodologies have been proposed. In this study, we apply and discuss the advantages and caveats of two different methodologies that correct the simulated precipitation to minimise differences with respect an observational dataset: a linear fit (FIT) of the accumulated distributions and Quantile Mapping (QM). The target region is Switzerland, and therefore the observational dataset is provided by MeteoSwiss. The RCM is the Weather Research and Forecasting model (WRF), driven at the

  10. Evaluation of trends in high temperature extremes in north-western Europe in regional climate models

    NARCIS (Netherlands)

    Min, E.; Hazeleger, W.; Oldenborgh, van G.J.; Sterl, A.

    2013-01-01

    Projections of future changes in weather extremes on the regional and local scale depend on a realistic representation of trends in extremes in regional climate models (RCMs). We have tested this assumption for moderate high temperature extremes (the annual maximum of the daily maximum 2 m

  11. Effects of Climatic Region on Peritonitis Risk, Microbiology, Treatment, and Outcomes: a Multicenter Registry Study

    Science.gov (United States)

    Cho, Yeoungjee; Badve, Sunil V.; Hawley, Carmel M.; McDonald, Stephen P.; Brown, Fiona G.; Boudville, Neil; Wiggins, Kathryn J.; Bannister, Kym M.; Clayton, Philip; Johnson, David W.

    2013-01-01

    ♦ Background: The impact of climatic variations on peritoneal dialysis (PD)-related peritonitis has not been studied in detail. The aim of the current study was to determine whether various climatic zones influenced the probability of occurrence or the clinical outcomes of peritonitis. ♦ Methods: Using ANZDATA registry data, the study in cluded all Australian patients receiving PD between 1 October 2003 and 31 December 2008. Climatic regions were defined according to the Köppen classification. ♦ Results: The overall peritonitis rate was 0.59 episodes per patient-year. Most of the patients lived in Temperate regions (65%), with others residing in Subtropical (26%), Tropical (6%), and Other climatic regions (Desert, 0.6%; Grassland, 2.3%). Compared with patients in Temperate regions, those in Tropical regions demonstrated significantly higher overall peritonitis rates and a shorter time to a first peritonitis episode [adjusted hazard ratio: 1.15; 95% confidence interval (CI): 1.01 to 1.31]. Culture-negative peritonitis was significantly less likely in Tropical regions [adjusted odds ratio (OR): 0.42; 95% CI: 0.25 to 0.73]; its occurrence in Subtropical and Other regions was comparable to that in Temperate regions. Fungal peritonitis was independently associated with Tropical regions (OR: 2.18; 95% CI: 1.22 to 3.90) and Other regions (OR: 3.46; 95% CI: 1.73 to 6.91), where rates of antifungal prophylaxis were also lower. Outcomes after first peritonitis episodes were comparable in all groups. ♦ Conclusions: Tropical regions were associated with a higher overall peritonitis rate (including fungal peritonitis) and a shorter time to a first peritonitis episode. Augmented peritonitis prophylactic measures such as antifungal therapy and exit-site care should be considered in PD patients residing in Tropical climates. PMID:22942270

  12. Climate change effects on extreme flows of water supply area in Istanbul: utility of regional climate models and downscaling method.

    Science.gov (United States)

    Kara, Fatih; Yucel, Ismail

    2015-09-01

    This study investigates the climate change impact on the changes of mean and extreme flows under current and future climate conditions in the Omerli Basin of Istanbul, Turkey. The 15 regional climate model output from the EU-ENSEMBLES project and a downscaling method based on local implications from geophysical variables were used for the comparative analyses. Automated calibration algorithm is used to optimize the parameters of Hydrologiska Byråns Vattenbalansavdel-ning (HBV) model for the study catchment using observed daily temperature and precipitation. The calibrated HBV model was implemented to simulate daily flows using precipitation and temperature data from climate models with and without downscaling method for reference (1960-1990) and scenario (2071-2100) periods. Flood indices were derived from daily flows, and their changes throughout the four seasons and year were evaluated by comparing their values derived from simulations corresponding to the current and future climate. All climate models strongly underestimate precipitation while downscaling improves their underestimation feature particularly for extreme events. Depending on precipitation input from climate models with and without downscaling the HBV also significantly underestimates daily mean and extreme flows through all seasons. However, this underestimation feature is importantly improved for all seasons especially for spring and winter through the use of downscaled inputs. Changes in extreme flows from reference to future increased for the winter and spring and decreased for the fall and summer seasons. These changes were more significant with downscaling inputs. With respect to current time, higher flow magnitudes for given return periods will be experienced in the future and hence, in the planning of the Omerli reservoir, the effective storage and water use should be sustained.

  13. Recent trends in the climate of Namaqualand, a megadiverse arid region of South Africa

    Directory of Open Access Journals (Sweden)

    Claire L. Davis

    2016-03-01

    Full Text Available Namaqualand is especially vulnerable to future climate change impacts. Using a high-resolution (0.5°x0.5° gridded data set (CRU TS 3.1 and individual weather station data, we demonstrated that temperatures as well as frequency of hot extremes have increased across this region. Specifically, minimum temperatures have increased by 1.4 °C and maximum temperatures by 1.1 °C over the last century. Of the five weather stations analysed, two showed evidence of a significant increase in the duration of warm spells of up to 5 days per decade and a reduction in the number of cool days (TX10P by up to 3 days per decade. In terms of rainfall, we found no clear evidence for a significant change in annual totals or the frequency or intensity of rainfall events. Seasonal trends in rainfall did, however, demonstrate some spatial variability across the region. Spatial trends in evapotranspiration obtained from the 8-day MOD16 ET product were characterised by a steepening inland-coastal gradient where areas along the coastline showed a significant increase in evapotranspiration of up to 30 mm per decade, most notably in spring and summer. The increase in temperature linked with the increases in evapotranspiration pose significant challenges for water availability in the region, but further research into changes in coastal fog is required in order for a more reliable assessment to be made. Overall, the results presented in this study provide evidence-based information for the management of climate change impacts as well as the development of appropriate adaptation responses at a local scale.

  14. A stochastic rainfall model for the assessment of regional water resource systems under changed climatic condition

    Directory of Open Access Journals (Sweden)

    H. J. Fowler

    2000-01-01

    Full Text Available A stochastic model is developed for the synthesis of daily precipitation using conditioning by weather types. Daily precipitation statistics at multiple sites within the region of Yorkshire, UK, are linked to objective Lamb weather types (LWTs and used to split the region into three distinct precipitation sub-regions. Using a variance minimisation criterion, the 27 LWTs are clustered into three physically realistic groups or ‘states'. A semi-Markov chain model is used to synthesise long sequences of weather states, maintaining the observed persistence and transition probabilities. The Neyman-Scott Rectangular Pulses (NSRP model is then fitted for each weather state, using a defined summer and winter period. The combined model reproduces key aspects of the historic precipitation regime at temporal resolutions down to the hourly level. Long synthetic precipitation series are useful in the sensitivity analysis of water resource systems under current and changed climatic conditions. This methodology enables investigation of the impact of variations in weather type persistence or frequency. In addition, rainfall model statistics can be altered to simulate instances of increased intensity or proportion of dry days for example, for individual weather groups. The input of such data into a water resource model, simulating potential atmospheric circulation changes, will provide a valuable tool for future planning of water resource systems. The ability of the model to operate at an hourly level also allows its use in a wider range of hydrological impact studies, e.g. variations in river flows, flood risk estimation etc. Keywords: water resources; climate change; impacts; stochastic rainfall model; Lamb weather types

  15. Local self-government potential in sustainable development of region providing

    Directory of Open Access Journals (Sweden)

    O. Y. Bobrovska

    2016-06-01

    Full Text Available Ongoing decentralization of power in Ukraine enhances abilities of each region to independently choose their development path and use their own resources. It requires reviewing and updating of mechanisms and instruments of local government and public administration projected to increase the sustainability of development. This necessitates further research of issues of this extremely complex phenomenon. The problem of sustainable development of the regions and their internal capacities over the past decades has attracted the attention of many Ukrainian scientists. They considered the question of the essence and characteristics of this phenomenon, categorical apparatus, and formed approaches to the assessment of the state etc. Existing scientific researchers provided an opportunity for better understanding and deepening of the issues of processes of development formation, becoming the basis for further research. The purpose of the article is the definition of the potential of local governments in the sustainable development of the region, finding approaches for improving management and rational use of resources to enhance the regional development. Development of regions is the scope of display of results and public nature of local self-government. However, the results which are achieved by regional development and its level of sustainability do not meet the needs of society. The results of ongoing reforms, their economic, environmental and social significance do not correspond to spent resources and efforts of society. Strategies of regions for the transition to sustainable development are not systematic. To search for answers and ways to address the issues of the article attempts to identify common root causes in the organization of local government, the underlying increase its impact in the direction of creating conditions and ensure the flow of sustainable regional development through research and their potential influential factors. It is

  16. Emerging patterns of simulated regional climatic changes for the 21st century due to anthropogenic forcings

    DEFF Research Database (Denmark)

    Giorgi, Filippo; Whetton, Peter H.; Jones, Richard G.

    2001-01-01

    We analyse temperature and precipitation changes for the late decades of the 21st century (with respect to present day conditions) over 23 land regions of the world from 18 recent transient, climate change experiments with coupled atmosphere-ocean General Circulation Models (AOGCMs). The analysis...... involves two different forcing scenarios and nine models, and it focuses on model agreement in the simulated regional changes for the summer and winter seasons. While to date very few conclusions have been presented on regional climatic changes, mostly limited to some broad latitudinal bands, our analysis...

  17. Assessing the risks and uncertainties of regional crop potential under a changing climate in Finland

    Directory of Open Access Journals (Sweden)

    T.R. CARTER

    2008-12-01

    Full Text Available Results are presented of a modelling study to estimate the regional suitability and potential productivity of selected crops in Finland under a changing climate. Model simulations were conducted across a regular 10 km grid over Finland for various cultivars of the following crops: spring wheat, barley, oats, potato and maize, and for two nematode pests and a fungal disease of potato. Models were run for both the present-day (1961-1990 climate and scenarios of future climate. Results are presented as maps. The main findings of the study are: (1 A warming of the climate induces shifts in the northern limit of cereal suitability of some 100-150 km per °C. (2 Changes in climate and carbon dioxide concentration by 2050 are estimated to enhance average grain yields of present-day barley cultivars in all regions. (3 Under projected warming, the potential distribution of nematode species expands northwards and additional generations of some species are likely. The risk of late blight occurrence increases in all regions. (4 By 2050 grain maize could be cultivated reliably in favourable regions of southern Finland, and satisfactory yields obtained. (5 Uncertainties surround all estimates, including uncertainties in projections of future climate, model errors and assumptions and observational errors.;

  18. The present-day climate of Greenland : a study with a regional climate model

    NARCIS (Netherlands)

    Ettema, J.

    2010-01-01

    Present-day climate of Greenland Over the past 20 years, the Greenland ice sheet (GrIS) has warmed. This temperature increase can be explained by an increase in downwelling longwave radiation due to a warmer overlying atmosphere. These temperature changes are strongly correlated to changes in the

  19. Climate hotspots: key vulnerable regions, climate change and limits to warming

    NARCIS (Netherlands)

    Hare, W.; Cramer, W.; Schaeffer, M.; Battaglini, A.; Jaeger, C.

    2011-01-01

    Defining and operationalizing Article 2 of the UNFCCC remains a challenge. The question of what is dangerous climate change is not a purely scientific one, as danger necessarily has a subjective dimension and its definition requires judgment and precaution. The papers in this special issue of

  20. Adaptation Strategies to Climate Change and the Role of Planning Instruments - The Example of the Dresden Region (Saxony/Germany)

    Science.gov (United States)

    Albrecht, J.; Juta, K.; Nobis, A.

    2009-04-01

    process of updating), interests of project partners and stakeholders. Thirdly, as a result, an overview of relevant planning instruments in the region of Dresden is shown, including their current status and statements about their relevance for the topic of climate adaptation strategies. Finally it is derived that this procedure provides a basis for the following possibilities: Adapting existing planning instruments, integrate contents of existing planning instruments in the IRCAP process, or develop and define new strategies or measures on the way to an IRCAP.

  1. Southeast Regional Assessment Project for the National Climate Change and Wildlife Science Center, U.S. Geological Survey

    Science.gov (United States)

    Dalton, Melinda S.; Jones, Sonya A.

    2010-01-01

    expanded to address climate change-related impacts on all Department of the Interior (DOI) resources. The NCCWSC will establish a network of eight DOI Regional Climate Science Centers (RCSCs) that will work with a variety of partners to provide natural resource managers with tools and information that will help them anticipate and adapt conservation planning and design for projected climate change. The forecasting products produced by the RCSCs will aid fish, wildlife, and land managers in designing suitable adaptive management approaches for their programs. The DOI also is developing Landscape Conservation Cooperatives (LCCs) as science and conservation action partnerships at subregional scales. The USGS is working with the Southeast Region of the U.S. Fish and Wildlife Service (FWS) to develop science collaboration between the future Southeast RCSC and future LCCs. The NCCWSC Southeast Regional Assessment Project (SERAP) will begin to develop regional downscaled climate models, land cover change models, regional ecological models, regional watershed models, and other science tools. Models and data produced by SERAP will be used in a collaborative process between the USGS, the FWS (LCCs), State and federal partners, nongovernmental organizations, and academia to produce science at appropriate scales to answer resource management questions. The SERAP will produce an assessment of climate change, and impacts on land cover, ecosystems, and priority species in the region. The predictive tools developed by the SERAP project team will allow end users to better understand potential impacts of climate change and sea level rise on terrestrial and aquatic populations in the Southeastern United States. The SERAP capitalizes on the integration of five existing projects: (1) the Multi-State Conservation Grants Program project "Designing Sustainable Landscapes," (2) the USGS multidisciplinary Science Thrust project "Water Availability for Ecological Needs," (3) the USGS Southeast Pilot

  2. The importance of buisiness climate and people climate on regional rerformance

    DEFF Research Database (Denmark)

    Eriksson, Rikard; Hansen, Høgni Kalsø; Lindgren, Urban

    2014-01-01

    Creativity and talent are considered key factors in regional development due to the connection between growth, city-regions and human capital. To come to a deeper understanding of the relevance of recent amenity-driven theories and how they are related to employment and gross regional product per...

  3. Emission metrics for quantifying regional climate impacts of aviation

    Science.gov (United States)

    Lund, Marianne T.; Aamaas, Borgar; Berntsen, Terje; Bock, Lisa; Burkhardt, Ulrike; Fuglestvedt, Jan S.; Shine, Keith P.

    2017-07-01

    This study examines the impacts of emissions from aviation in six source regions on global and regional temperatures. We consider the NOx-induced impacts on ozone and methane, aerosols and contrail-cirrus formation and calculate the global and regional emission metrics global warming potential (GWP), global temperature change potential (GTP) and absolute regional temperature change potential (ARTP). The GWPs and GTPs vary by a factor of 2-4 between source regions. We find the highest aviation aerosol metric values for South Asian emissions, while contrail-cirrus metrics are higher for Europe and North America, where contrail formation is prevalent, and South America plus Africa, where the optical depth is large once contrails form. The ARTP illustrate important differences in the latitudinal patterns of radiative forcing (RF) and temperature response: the temperature response in a given latitude band can be considerably stronger than suggested by the RF in that band, also emphasizing the importance of large-scale circulation impacts. To place our metrics in context, we quantify temperature change in four broad latitude bands following 1 year of emissions from present-day aviation, including CO2. Aviation over North America and Europe causes the largest net warming impact in all latitude bands, reflecting the higher air traffic activity in these regions. Contrail cirrus gives the largest warming contribution in the short term, but remain important at about 15 % of the CO2 impact in several regions even after 100 years. Our results also illustrate both the short- and long-term impacts of CO2: while CO2 becomes dominant on longer timescales, it also gives a notable warming contribution already 20 years after the emission. Our emission metrics can be further used to estimate regional temperature change under alternative aviation emission scenarios. A first evaluation of the ARTP in the context of aviation suggests that further work to account for vertical sensitivities

  4. Emission metrics for quantifying regional climate impacts of aviation

    Directory of Open Access Journals (Sweden)

    M. T. Lund

    2017-07-01

    Full Text Available This study examines the impacts of emissions from aviation in six source regions on global and regional temperatures. We consider the NOx-induced impacts on ozone and methane, aerosols and contrail-cirrus formation and calculate the global and regional emission metrics global warming potential (GWP, global temperature change potential (GTP and absolute regional temperature change potential (ARTP. The GWPs and GTPs vary by a factor of 2–4 between source regions. We find the highest aviation aerosol metric values for South Asian emissions, while contrail-cirrus metrics are higher for Europe and North America, where contrail formation is prevalent, and South America plus Africa, where the optical depth is large once contrails form. The ARTP illustrate important differences in the latitudinal patterns of radiative forcing (RF and temperature response: the temperature response in a given latitude band can be considerably stronger than suggested by the RF in that band, also emphasizing the importance of large-scale circulation impacts. To place our metrics in context, we quantify temperature change in four broad latitude bands following 1 year of emissions from present-day aviation, including CO2. Aviation over North America and Europe causes the largest net warming impact in all latitude bands, reflecting the higher air traffic activity in these regions. Contrail cirrus gives the largest warming contribution in the short term, but remain important at about 15 % of the CO2 impact in several regions even after 100 years. Our results also illustrate both the short- and long-term impacts of CO2: while CO2 becomes dominant on longer timescales, it also gives a notable warming contribution already 20 years after the emission. Our emission metrics can be further used to estimate regional temperature change under alternative aviation emission scenarios. A first evaluation of the ARTP in the context of aviation suggests that further work to account

  5. Climatic Change in the Alpine Region of Switzerland; Klimawandel im Schweizer Alpenraum

    Energy Technology Data Exchange (ETDEWEB)

    Wanner, Heinz; Gyalistras, Dimitrios; Luterbacher, Juerg; Schmutz, Christoph [Geographisches Institut der Universitaet Bern (Switzerland); Rickli, Ralph [Meteotest, Bern (Switzerland); Salvisberg, Esther; Broennimann, Stefan [ed.

    2000-07-01

    This book describes the spatial and temporal structure of climatic change in the Swiss Alps, understood as climatic variation and climatic trends. By looking at past, present and future climatic conditions, it attempts to identify the most important processes responsible for climatic change. The processes and preconditions are considered that influence the Alpine climate on a scale ranging from the global to the continental. After reference to global energy and to the resulting energy and mass transport mechanisms attention is turned to the modes or regimes of those climatic systems mainly responsible for climatic variability in the Atlantic-European region. The climatic development in the Holocene period, particularly since the start of the 'Little Ice Age', is described including reconstruction of glacial variation over the last 3,200 years. The authors discuss the question of how far the future Alpine climate will be affected by various interrelated factors above all by the greenhouse effect. It is shown that statements regarding changes in weather system frequencies, and temperature and precipitation trends, still have to limit themselves to scenarios of plausible climate developments based on basic assumptions, Forecasts that imply clear probability are not possible, and will never be strictly possible. Existing model simulations indicate a northerly shift in the region affected by high cyclonic activity. Temperature increase, caused by a doubling of CO{sub 2} levels, could lie in the region of 2.5 {sup o}C. Precipitation would appear to be more likely to increase, especially on the southern side of the Alps, although it is extremely difficult to draw any conclusions on this point. However, it is shown that precipitation totals are clearly influenced by weather system frequency. Future research needs to concentrate on two main aspects: Firstly, the study of the character of the most important modes, regimes or states of the climatic system, and the

  6. Developing and diagnosing climate change indictors of regional aerosol optical properties

    Science.gov (United States)

    Sullivan, Ryan C.; Levy, Robert C.; da Silva, Arlindo M.; Pryor, Sara C.

    2017-04-01

    The US Global Change Research Program has developed climate indicators (CIs) to track changes in the physical, chemical, biological, and societal components of the climate system. Given the importance of atmospheric aerosol particles to clouds and radiative forcing, human mortality and morbidity, and biogeochemical cycles, we propose new aerosol particle CIs applicable to the US National Climate Assessment (NCA). Here we define these aerosol CIs and use them to quantify temporal trends in each NCA region. Furthermore, we use a synoptic classification (e.g., meteorological variables), and gas and particle emissions inventories to diagnose and attribute causes of observed changes. Our CIs are derived using output from the satellite-constrained Modern-Era Retrospective Analysis for Research and Application, Version 2 (MERRA-2) reanalysis. MERRA-2 provides estimates of column-integrated aerosol optical properties at 0.625° by 0.5° resolution, including aerosol optical depth (AOD), Ångström exponent (AE), and single scattering albedo (SSA), which are related to aerosol loading, relative particle size, and chemical composition, respectively. For each NCA region, and for each aerosol variable, we derive statistics that describe mean and extreme values, as well as two metrics (spatial autocorrelation and coherence) that describe the spatial scales of aerosol variability. Consistent with previous analyses of aerosol precursor emissions and near-surface fine aerosol mass concentrations in the US, analyses of our aerosol CIs show that since 2000, both mean and extreme AOD have decreased over most NCA regions. There are significant (α = 0.05, using the non-parametric Kendall's tau) decreases in AOD for the Northeast (NE), Southeast (SE), Midwest (MW), and lower Great Plains (GPl) regions, and notable but not significant decreases in the Southwest (SW). AOD has increased for the Northwest (NW; significant) and upper Great Plains (GPu; not significant). Over all regions

  7. Detection and attribution of climate change at regional scale: case study of Karkheh river basin in the west of Iran

    Science.gov (United States)

    Zohrabi, Narges; Goodarzi, Elahe; Massah Bavani, Alireza; Najafi, Husain

    2017-11-01

    This research aims at providing a statistical framework for detection and attribution of climate variability and change at regional scale when at least 30 years of observation data are available. While extensive research has been done on detecting significant observed trends in hydroclimate variables and attribution to anthropogenic greenhouse gas emissions in large continents, less attention has been paid for regional scale analysis. The latter is mainly important for adaptation to climate change in different sectors including but not limited to energy, agriculture, and water resources planning and management, and it is still an open discussion in many countries including the West Asian ones. In the absence of regional climate models, an informative framework is suggested providing useful insights for policymakers. It benefits from general flexibility, not being computationally expensive, and applying several trend tests to analyze temporal variations in temperature and precipitation (gradual and step changes). The framework is implemented for a very important river basin in the west of Iran. In general, some increasing and decreasing trends of the interannual precipitation and temperature have been detected. For precipitation annual time series, a reducing step was seen around 1996 compared with the gradual change in most of the stations, which have not experience a dramatical change. The range of natural forcing is found to be ±76 % for precipitation and ±1.4 °C for temperature considering a two-dimensional diagram of precipitation and temperature anomalies from 1000-year control run of global climate model (GCM). Findings out of applying the proposed framework may provide useful insights into how to approach structural and non-structural climate change adaptation strategies from central governments.

  8. Modeling climate effects on hip fracture rate by the multivariate GARCH model in Montreal region, Canada

    Science.gov (United States)

    Modarres, Reza; Ouarda, Taha B. M. J.; Vanasse, Alain; Orzanco, Maria Gabriela; Gosselin, Pierre

    2014-07-01

    Changes in extreme meteorological variables and the demographic shift towards an older population have made it important to investigate the association of climate variables and hip fracture by advanced methods in order to determine the climate variables that most affect hip fracture incidence. The nonlinear autoregressive moving average with exogenous variable-generalized autoregressive conditional heteroscedasticity (ARMA X-GARCH) and multivariate GARCH (MGARCH) time series approaches were applied to investigate the nonlinear association between hip fracture rate in female and male patients aged 40-74 and 75+ years and climate variables in the period of 1993-2004, in Montreal, Canada. The models describe 50-56 % of daily variation in hip fracture rate and identify snow depth, air temperature, day length and air pressure as the influencing variables on the time-varying mean and variance of the hip fracture rate. The conditional covariance between climate variables and hip fracture rate is increasing exponentially, showing that the effect of climate variables on hip fracture rate is most acute when rates are high and climate conditions are at their worst. In Montreal, climate variables, particularly snow depth and air temperature, appear to be important predictors of hip fracture incidence. The association of climate variables and hip fracture does not seem to cha