Articles | Volume 19, issue 1
Hydrol. Earth Syst. Sci., 19, 361–377, 2015
https://doi.org/10.5194/hess-19-361-2015
Hydrol. Earth Syst. Sci., 19, 361–377, 2015
https://doi.org/10.5194/hess-19-361-2015
Research article
21 Jan 2015
Research article | 21 Jan 2015

Assessment of precipitation and temperature data from CMIP3 global climate models for hydrologic simulation

T. A. McMahon et al.

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Cited articles

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Short summary
Here we assess GCM performance from a hydrologic perspective. We identify five better performing CMIP3 GCMs that reproduce grid-scale climatological statistics of observed precipitation and temperature over global land regions for future hydrologic simulation. GCM performance in reproducing observed mean and standard deviation of annual precipitation, mean annual temperature and mean monthly precipitation and temperature was assessed and ranked, and five better performing GCMs were identified.