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This data series contains 2868 temporal datasets.These data are climate model outputs that have been downscaled to 4-km spatial resolution using the Bias Corrected Statistical Downscaling (BCSD) method. Moore and Walden have modified the BCSD method described by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443 and Salathe (2005), Downscaling simulations of future global climate with application to hydrologic modeling. International Journal of Climatology 25: 419-436. The modifications include a different interpolation scheme between GCM grid cells and a different approach to dealing with extreme values (Z-scores...
Assemble three sets of downscaled climate data (historic) and projections (future) developed by the USGS and the Climate Impacts Group at University of Washington; evaluate data documentation and formatting, and edit or repair as needed; deliver all climate data in a userfriendly format from mirrored data servers located in Corvallis, OR and Bozeman, MT.The public purpose of this project is ultimately to provide sound scientific support that is critical for guiding planning, decisions and responses aimed at managing the ecosystems of the GNLCC and other LCCs under global change. The objectives of the project are 1) to design and establish a state-of-the-art data server that is fault tolerant and expandable to meet...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Academics & scientific researchers, Alberta, Applications and Tools, British Columbia, CO-2, All tags...
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This collection of layers includes summary statistics from input and output data used for simulation of vegetation response to climate change in California. The historical data layers represent the 30 year period from 1961 to 1990. Future data layers represent each four 20 year periods: 2010-2029, 2030-2049, 2060-2079, and 2080-2099. The simulations were performed using MC1 dynamic global vegetation model (DGVM), source code revision 152. The model was parameterized and evaluated by the DGVM research group at the US Forest Service Pacific Northwest Research Station, with support from the Western Wildland Environmental Threat Assessment Center. The model was parameterized to maximize concordance with maps of potential...


    map background search result map search result map Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method] Assemblage, Format and Delivery of Downscaled Climate Data and Projections for the GNLCC Focal Area Historical Temperature Historical Temperature Assemblage, Format and Delivery of Downscaled Climate Data and Projections for the GNLCC Focal Area Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method]