Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin

Murawski, Aline; Bürger, Gerd; Vorogushyn, Sergiy; Merz, Bruno

doi:https://doi.org/10.5194/hess-20-4283-2016

Articles | Volume 20, issue 10

https://doi.org/10.5194/hess-20-4283-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-4283-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 10

Research article

|

21 Oct 2016

Research article |

| 21 Oct 2016

Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin

Aline Murawski, Gerd Bürger, Sergiy Vorogushyn, and Bruno Merz

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Final revised paper (published on 21 Oct 2016)
Preprint (discussion started on 23 Jun 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Can local climate variability be explained by weather patterns? A multi-station evaluation for the Rhine basin, Reviewer comments', Anonymous Referee #1, 18 Jul 2016
- AC1: 'Answer to Anonymous Referee #1', Aline Murawski, 27 Jul 2016
RC2: 'Review comments', Anonymous Referee #2, 16 Aug 2016
- AC2: 'Answer to Anonymous Referee #2', Aline Murawski, 19 Aug 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (16 Sep 2016) by Hannah Cloke

AR by Aline Murawski on behalf of the Authors (26 Sep 2016) Author's response Manuscript

ED: Publish as is (09 Oct 2016) by Hannah Cloke

AR by Aline Murawski on behalf of the Authors (10 Oct 2016) Manuscript

Short summary

To understand past flood changes in the Rhine catchment and the role of anthropogenic climate change in extreme flows, an attribution study relying on a proper GCM (general circulation model) downscaling is needed. A downscaling based on conditioning a stochastic weather generator on weather patterns is a promising approach. Here the link between patterns and local climate is tested, and the skill of GCMs in reproducing these patterns is evaluated.