Skip to main content

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 2.19 KB
Extension: RedRiver_historical.zip
RedRiver_historical.tif 110.61 KB
RedRiver_historical.tif-ColorRamp.SLD 2.19 KB
Extension: RedRiver_obs.zip
RedRiver_obs.tif 110.61 KB
RedRiver_obs.tif-ColorRamp.SLD 2.19 KB

Additional Information

Identifiers

Type Scheme Key
File Identifier file identifier 61b90d80d34e9e224ac1223b

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) 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

files
nameRedRiver_future.tif
contentTypeimage/geotiff
pathOnDisk__disk__a1/1d/39/a11d396b36a72bf46af120d7a039a82955e83a1f
size113266
dateUploadedTue Dec 14 14:33:00 MST 2021
nameRedRiver_future.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__9d/12/3d/9d123d9f04846a926fefdfd7228378bd3487c724
imageWidth580
imageHeight435
size2247
dateUploadedTue Dec 14 14:33:00 MST 2021
nameRedRiver_future
rasterTypeGeoTIFF

Raster Extension

files
nameRedRiver_historical.tif
contentTypeimage/geotiff
pathOnDisk__disk__27/93/0d/27930d0c8966023236dbd58b8aff83b058984cae
size113266
dateUploadedTue Dec 14 14:33:06 MST 2021
nameRedRiver_historical.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__86/0f/40/860f40c3c54112cfd29c75ab0c8adc9a92fb9001
imageWidth580
imageHeight435
size2247
dateUploadedTue Dec 14 14:33:06 MST 2021
nameRedRiver_historical
rasterTypeGeoTIFF

Raster Extension

files
nameRedRiver_obs.tif
contentTypeimage/geotiff
pathOnDisk__disk__0f/19/91/0f19910c0aa0f6b389f394f451e1740182ecb3db
size113266
dateUploadedTue Dec 14 14:33:12 MST 2021
nameRedRiver_obs.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__30/f3/ac/30f3ac303a0f6681ff808d03ab99f013252c7d1d
imageWidth580
imageHeight435
size2247
dateUploadedTue Dec 14 14:33:12 MST 2021
nameRedRiver_obs
rasterTypeGeoTIFF

Item Actions

View Item as ...

Save Item as ...

View Item...