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Dynamical Downscaling for the Midwest and Great Lakes Basin Six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) were dynamically downscaled to 25-km grid spacing according to the representative concentration pathway 8.5 (RCP8.5) scenario using the International Centre for Theoretical Physics (ICTP) Regional Climate Model Version Four (RegCM4), interactively coupled to a 1D lake model to represent the Great Lakes. These GCMs include the Centre National de Recherches Meteorologiques Coupled Global Climate Model Version Five (CNRM-CM5), the Model for Interdisciplinary Research on Climate Version Five (MIROC5), the Institut Pierre Simon Laplace Coupled Model Version Five-Medium Resolution (IPSL-CM5-MR), the Meteorological Research... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Great Lakes, climatologyMeteorologyAtmosphere, dataset, downscaling, service Dynamical Downscaling for the Midwest and Great Lakes Basin Six global climate models (GCMs) from the Coupled Model Intercomparison Project Phase Five (CMIP5) were dynamically downscaled to 25-km grid spacing according to the representative concentration pathway 8.5 (RCP8.5) scenario using the International Centre for Theoretical Physics (ICTP) Regional Climate Model Version Four (RegCM4), interactively coupled to a 1D lake model to represent the Great Lakes. These GCMs include the Centre National de Recherches Meteorologiques Coupled Global Climate Model Version Five (CNRM-CM5), the Model for Interdisciplinary Research on Climate Version Five (MIROC5), the Institut Pierre Simon Laplace Coupled Model Version Five-Medium Resolution (IPSL-CM5-MR), the Meteorological Research... Categories: Data; Types: NetCDF OPeNDAP Service; Tags: Great Lakes, climatologyMeteorologyAtmosphere, dataset, downscaling, service Publication: Interpreting climate model projections of extreme weather events The availability of output from climate model ensembles,such as phases 3 and 5 of the Coupled Model Intercomparison Project(CMIP3 and CMIP5), has greatly expanded information about future projections,but there is no accepted blueprint for how this data should be utilized.The multi-model average is themost commonly cited single estimate of future conditions,but higher-order moments representing thevariance and skewness of the distribution of projections provide important information about uncertainty. We have analyzed a set of statistically downscaled climate model projections from the CMIP3 archive to assess extreme weather events at a level aimed to be appropriate for decisionmakers. Our analysis uses the distribution... Categories: Data, Project, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, 2013, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, All tags... LCC, LCC Network Science Catalog, Project, Publication, Regional & county planners, State agencies, Tribes, Upper Midwest and Great Lakes Landscape Conservation Cooperative, completed, environment, environment, publication, Fewer tags Downscaling climate in the Great Lakes region for regional climate impact assessment Researchers downscaled projections of maximum and minimum temperature and precipitation across a large extent east of the Rocky Mountains to the Atlantic Coast. The data is probabilistic in nature, providing flexibility in incorporating climate information into impact assessments. Statistical techniques were used for the downscaling and it retains a reasonable representation of daily extreme events, such as intense precipitation or extreme temperatures. A web-based client is in creation to host and distribute the data. This project produced: Statistically downscaled precipitation, and maximum and minimum temperature at approximately a 0.1° by 0.1° resolution, at daily time scales, for all global climate models... Categories: Data, Project; Tags: Academics & scientific researchers, Conservation NGOs, Datasets/Database, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, All tags... Federal resource managers, LCC Network Science Catalog, Project, Regional & county planners, State agencies, Tribes, completed, environment, environment, Fewer tags Future Changes in Weather Extremes Derived from Statistically Downscaled Climate Projections for the Great Lakes Region This project analyzies projected changes in the frequency and intensity of extreme weather events across the Great Lakes region, namely heat waves, cold spells, heavy precipitation events, and droughts, using a statistically downscaled climate product produced by the Climate Working Group of the Wisconsin Initiative on Climate Change Impacts (WICCI). It will perform a probabilistic exploration of weather extremes, ideally tailored toward decision-makers who are developing impact assessments at a regional scale across the Great Lakes region. Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Applications and Tools, Decision Support, EARTH SCIENCE > LAND SURFACE > LANDSCAPE, Federal resource managers, LCC Network Science Catalog, All tags... Project, Regional & county planners, State agencies, Tribes, completed, environment, Fewer tags