Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1031-2016
https://doi.org/10.5194/hess-20-1031-2016
Research article
 | 
08 Mar 2016
Research article |  | 08 Mar 2016

Sensitivity analysis of runoff modeling to statistical downscaling models in the western Mediterranean

Benjamin Grouillet, Denis Ruelland, Pradeebane Vaittinada Ayar, and Mathieu Vrac

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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 (22 Dec 2015) by Erwin Zehe
AR by Benjamin Grouillet on behalf of the Authors (08 Jan 2016)  Manuscript 
ED: Referee Nomination & Report Request started (15 Jan 2016) by Erwin Zehe
RR by Anonymous Referee #1 (08 Feb 2016)
RR by Anonymous Referee #2 (19 Feb 2016)
ED: Publish as is (23 Feb 2016) by Erwin Zehe
AR by Benjamin Grouillet on behalf of the Authors (24 Feb 2016)
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Short summary
This original paper provides a guideline to select statistical downscaling methods (SDMs) in climate change impact studies (CCIS) to minimize uncertainty from downscaling. Three SDMs were applied to NCEP reanalysis and 2 GCM data values. We then analyzed the sensitivity of the hydrological model to the various downscaled data via 5 hydrological indicators representing the main features of the hydrograph. Our results enable selection of the appropriate SDMs to be used to build climate scenarios.