Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3687-2017
https://doi.org/10.5194/hess-21-3687-2017
Research article
 | 
20 Jul 2017
Research article |  | 20 Jul 2017

Real-time updating of the flood frequency distribution through data assimilation

Cristina Aguilar, Alberto Montanari, and María-José Polo

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Interactive discussion

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: Publish subject to minor revisions (further review by Editor) (22 Mar 2017) by Stacey Archfield
AR by Cristina Aguilar on behalf of the Authors (29 Apr 2017)  Author's response    Manuscript
ED: Publish subject to minor revisions (further review by Editor) (18 May 2017) by Stacey Archfield
AR by Cristina Aguilar on behalf of the Authors (28 May 2017)  Author's response    Manuscript
ED: Publish as is (08 Jun 2017) by Stacey Archfield
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Short summary
Assuming that floods are driven by both short- (meteorological forcing) and long-term perturbations (higher-than-usual moisture), we propose a technique for updating a season in advance the flood frequency distribution. Its application in the Po and Danube rivers helped to reduce the uncertainty in the estimation of floods and thus constitutes a promising tool for real-time management of flood risk mitigation. This study is the result of the stay of the first author at the University of Bologna.