Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4339-2020
https://doi.org/10.5194/hess-24-4339-2020
Research article
 | 
04 Sep 2020
Research article |  | 04 Sep 2020

Assessment of meteorological extremes using a synoptic weather generator and a downscaling model based on analogues

Damien Raynaud, Benoit Hingray, Guillaume Evin, Anne-Catherine Favre, and Jérémy Chardon

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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) (02 Apr 2020) by Carlo De Michele
AR by Guillaume Evin on behalf of the Authors (04 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (21 Jun 2020) by Carlo De Michele
RR by Anonymous Referee #2 (07 Jul 2020)
RR by Anonymous Referee #1 (20 Jul 2020)
ED: Publish as is (26 Jul 2020) by Carlo De Michele
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Short summary
This research paper proposes a weather generator combining two sampling approaches. A first generator recombines large-scale atmospheric situations. A second generator is applied to these atmospheric trajectories in order to simulate long time series of daily regional precipitation and temperature. The method is applied to daily time series in Switzerland. It reproduces adequately the observed climatology and improves the reproduction of extreme precipitation values.