Articles | Volume 19, issue 5
https://doi.org/10.5194/nhess-19-1041-2019
https://doi.org/10.5194/nhess-19-1041-2019
Research article
 | 
16 May 2019
Research article |  | 16 May 2019

Stochastic generation of spatially coherent river discharge peaks for continental event-based flood risk assessment

Dirk Diederen, Ye Liu, Ben Gouldby, Ferdinand Diermanse, and Sergiy Vorogushyn

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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) (29 Nov 2018) by Hessel Winsemius
AR by Dirk Diederen on behalf of the Authors (22 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Mar 2019) by Hessel Winsemius
RR by Dominik Paprotny (23 Mar 2019)
RR by Brenden Jongman (01 Apr 2019)
ED: Publish subject to minor revisions (review by editor) (11 Apr 2019) by Hessel Winsemius
AR by Dirk Diederen on behalf of the Authors (16 Apr 2019)  Author's response    Manuscript
ED: Publish as is (18 Apr 2019) by Hessel Winsemius
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Short summary
Floods affect many communities and cause a large amount of damage worldwide. Since we choose to live in natural flood plains and are unable to prevent all floods, a system of insurance and reinsurance was set up. For these institutes to not fail, estimates are required of the frequency of large-scale flood events. We explore a new method to obtain a large catalogue of synthetic, spatially coherent, large-scale river discharge events, using a recent (gridded) European discharge data set.
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