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

Data sets

Discharge time series at Pontelagoscuro ARPAE https://www.arpae.it/dettaglio_generale.asp?id=2888&idlivello=1592

Discharge time series at Bratislava Global Runoff Data Center http://www.bafg.de/GRDC/EN/Home/homepage_node.html

Monthly precipitation and temperature time series HISTALP http://www.zamg.ac.at/histalp/

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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.