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Statistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Downscaled Future Projections

Dates

Metadata Creation Date
2016-08-26
issued
2016-02-01
Citation Revision Date
2016-07-01

Summary

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 of a degree (~ 11 [...]

Contacts

Point of Contact :
Carlos Gaitan

Attached Files

Click on title to download individual files attached to this item.

Extension: RedRiver_future.zip
RedRiver_future.tif 110.61 KB
RedRiver_future.tif-ColorRamp.SLD 2.13 KB
Extension: RedRiver_historical.zip
RedRiver_historical.tif 110.61 KB
RedRiver_historical.tif-ColorRamp.SLD 2.13 KB
Extension: RedRiver_obs.zip
RedRiver_obs.tif 110.61 KB
RedRiver_obs.tif-ColorRamp.SLD 2.13 KB

Map

Spatial Services

ScienceBase WMS

ScienceBase WCS

Communities

  • Geo Data Portal Catalog
  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

Associated Items

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Input directly

Additional Information

Identifiers

Type Scheme Key
File Identifier file identifier 5797aa9ce4b0858db36ef6d2

NetCDF OPeNDAP Service Extension

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summaryThis 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 of a degree (~ 11 km). The statistically downscaled datasets include local climate projections of three different Representative Concentration Pathways (RCPs - 2.6, 4.5 and 8.5) for the 21st century (2006 – 2099), and for the historical (1961-2005) period. The project was funded by the USGS – South Central Climate Science Center.
titleStatistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Downscaled Future Projections
urlhttps://cida.usgs.gov/thredds/dodsC/RedRiver_future

NetCDF OPeNDAP Service Extension

boundingBox
minY26.05
minX-108.95
maxY39.95
maxX-90.05
summaryThis 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 of a degree (~ 11 km). The statistically downscaled datasets include local climate projections of three different Representative Concentration Pathways (RCPs - 2.6, 4.5 and 8.5) for the 21st century (2006 – 2099), and for the historical (1961-2005) period. The project was funded by the USGS – South Central Climate Science Center.
titleStatistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Historical GCM Experiment
urlhttps://cida.usgs.gov/thredds/dodsC/RedRiver_historical

NetCDF OPeNDAP Service Extension

boundingBox
minY26.05
minX-108.95
maxY39.95
maxX-90.05
summaryThis 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 of a degree (~ 11 km). The statistically downscaled datasets include local climate projections of three different Representative Concentration Pathways (RCPs - 2.6, 4.5 and 8.5) for the 21st century (2006 – 2099), and for the historical (1961-2005) period. The project was funded by the USGS – South Central Climate Science Center.
titleStatistically downscaled estimates of precipitation and temperature for the Red River basin (South Central U.S.A) Observation Based Dataset
urlhttps://cida.usgs.gov/thredds/dodsC/RedRiver_obs

Raster Extension

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Raster Extension

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Raster Extension

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