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

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

doi:https://doi.org/10.5194/hess-24-4339-2020

Articles | Volume 24, issue 9

https://doi.org/10.5194/hess-24-4339-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-24-4339-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 9

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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Final revised paper (published on 04 Sep 2020)
Preprint (discussion started on 16 Dec 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review', Anonymous Referee #1, 06 Jan 2020
- AC1: 'Answer to reviewer #1', Guillaume Evin, 17 Feb 2020
RC2: 'Review of “Assessment of meteorological extremes using a synoptic weather generatorand a downscaling model based on analogs”, by Raynaud et al', Anonymous Referee #2, 20 Mar 2020
- AC2: 'Answer to reviewer #2', Guillaume Evin, 26 Mar 2020

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

AR by Guillaume Evin on behalf of the Authors (28 Jul 2020)

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.