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Do downscaled general circulation models reliably simulate historical climatic conditions?

Dates

Publication Date
Start Date
1950-01-01
End Date
2005-12-31

Citation

Bock, A.R., Hay, L.E., Markstrom, S.L., and Atkinson, R.D., 2018, Monthly Water Balance Model Futures (ver. 3.0, September 2018): U.S. Geological Survey data release, https://doi.org/10.5066/F7VD6WJQ.

Summary

This dataset includes nine files (in comma-separated value format [.csv]) which contain metrics that are described in the Bock and others 2018 Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” Three files contain p-values from the two-sided Kolmogorov-Smirnov Test that compared distributions of three variables (precipitation [CONUS_KS_PPT.csv], temperature [CONUS_KS_TAVE.csv], and runoff [CONUS_KS_RUN.csv]) derived from statistically-downscaled general circulation models (SD GCM) with distributions of the three variables derived from gridded station data (GSD) for historical conditions (1950 through 2005). Three files contain the x-axis value (Dx) at which the largest [...]

Contacts

Point of Contact :
Andrew R Bock
Originator :
Andrew R Bock
Metadata Contact :
Andrew R Bock
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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

CONUS_KS_PPT.csv 174.22 MB
CONUS_KS_RUN.csv 112.72 MB
CONUS_KS_TAVE.csv 178.63 MB
DB_PPT.csv 20.63 MB
DB_RUN.csv 23.16 MB
DB_TAVE.csv 22.77 MB
DX_PPT.csv 177.81 MB
DX_RUN.csv 155.54 MB
DX_TAVE.csv 176.21 MB

Purpose

This dataset is an archive of the results presented in the Bock and others (2018) Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?”.

Map

Communities

  • USGS Colorado Water Science Center

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