Articles | Volume 19, issue 1
https://doi.org/10.5194/hess-19-361-2015
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, M. C. Peel, and D. J. Karoly

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (23 Sep 2014) by Alexander Loew (deceased)
AR by Murray Peel on behalf of the Authors (04 Nov 2014)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (12 Nov 2014) by Alexander Loew (deceased)
RR by Anonymous Referee #1 (21 Nov 2014)
ED: Publish subject to minor revisions (Editor review) (05 Dec 2014) by Alexander Loew (deceased)
AR by Murray Peel on behalf of the Authors (08 Dec 2014)  Manuscript 
ED: Publish as is (09 Dec 2014) by Alexander Loew (deceased)
AR by Murray Peel on behalf of the Authors (16 Dec 2014)
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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.