Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-655-2018
https://doi.org/10.5194/hess-22-655-2018
Research article
 | 
25 Jan 2018
Research article |  | 25 Jan 2018

Stochastic generation of multi-site daily precipitation focusing on extreme events

Guillaume Evin, Anne-Catherine Favre, and Benoit Hingray

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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 (further review by Editor and Referees) (08 Jul 2017) by Carlo De Michele
AR by Guillaume Evin on behalf of the Authors (20 Sep 2017)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by Editor and Referees) (12 Oct 2017) by Carlo De Michele
ED: Referee Nomination & Report Request started (19 Oct 2017) by Carlo De Michele
RR by Korbinian Breinl (17 Nov 2017)
ED: Publish as is (14 Dec 2017) by Carlo De Michele
AR by Guillaume Evin on behalf of the Authors (19 Dec 2017)
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Short summary
This research paper proposes a multi-site daily precipitation model, named GWEX, which aims to reproduce the statistical features of extremely rare events at different temporal and spatial scales. Recent advances and various statistical methods (regionalization, disaggregation) are considered in order to obtain a robust and appropriate representation of the most extreme precipitation fields. Performances are shown with an application to 105 stations, covering a large region in Switzerland.