Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2841-2020
https://doi.org/10.5194/hess-24-2841-2020
Research article
 | 
29 May 2020
Research article |  | 29 May 2020

Nonstationary stochastic rain type generation: accounting for climate drivers

Lionel Benoit, Mathieu Vrac, and Gregoire Mariethoz

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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) (14 Feb 2020) by Nadav Peleg
AR by Lionel Benoit on behalf of the Authors (03 Mar 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (05 Mar 2020) by Nadav Peleg
RR by Anonymous Referee #1 (03 Apr 2020)
RR by Anonymous Referee #3 (04 Apr 2020)
RR by András Bárdossy (09 Apr 2020)
ED: Publish subject to minor revisions (review by editor) (09 Apr 2020) by Nadav Peleg
AR by Lionel Benoit on behalf of the Authors (17 Apr 2020)  Author's response   Manuscript 
ED: Publish as is (23 Apr 2020) by Nadav Peleg
AR by Lionel Benoit on behalf of the Authors (28 Apr 2020)  Author's response   Manuscript 
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Short summary
At subdaily resolution, rain intensity exhibits a strong variability in space and time due to the diversity of processes that produce rain (e.g., frontal storms, mesoscale convective systems and local convection). In this paper we explore a new method to simulate rain type time series conditional to meteorological covariates. Afterwards, we apply stochastic rain type simulation to the downscaling of precipitation of a regional climate model.