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Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > South Central CASC > FY 2013 Projects ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___South Central CASC ____FY 2013 Projects
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The Red River Basin is a vital source of water in the South Central U.S., supporting ecosystems, drinking water, agriculture, tourism and recreation, and cultural ceremonies. Stretching from the High Plains of New Mexico eastward to the Mississippi River, the Red River Basin encompasses parts of five states – New Mexico, Texas, Oklahoma, Arkansas, and Louisiana. Further, 74% of the jurisdictional boundaries of the Chickasaw and Choctaw Tribes are located within the basin. Water resources in the basin have been stressed in recent years due to a multi-year drought and increasing demands for consumptive use by metropolitan areas in Oklahoma and Texas. Unfortunately, currently available projections of future precipitation...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2013,
CASC,
Completed,
Data Visualization & Tools,
Data Visualization & Tools,
This collection contains three statistically downscaled time series (datasets) for the Red River Basin (South Central U.S.), and one dataset used as historical observations. In particular, three different Global Climate Models (MPI-ESM-LR, CCSM4 and MIROC5) were downscaled using three different quantile mapping methods (CDFt, EDQM and BCQM). We do not recommend the use of the BCQM method, as the CDFt method is considered an improvement of it. The datasets created using the BCQM method are published as a demonstration of the risks of using flawed methods. The variables of interest are: daily maximum and minimum temperature, and daily precipitation. The spatial resolution of the datasets in the collection is 1/10th...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: CMIP5,
David Blodgett,
air_temperature,
climatologyMeteorologyAtmosphere,
dataset,
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