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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Cited articles

Aguilar, C., Montanari, A., and Polo, M. J.: Long term prediction of flood occurrence, Proc. IAHS, 373, 189–192, https://doi.org/10.5194/piahs-373-189-2016, 2016.
ARPAE (Emilia Romagna, Hydro-meteorological Office): discharge time series available at: https://www.arpae.it/dettaglio_generale.asp?id=2888&idlivello=1592 (last access: July 2017), 2012.
Baratti, E., Montanari, A., Castellarin, A., Salinas, J. L., Viglione, A., and Bezzi, A.: Estimating the flood frequency distribution at seasonal and annual time scales, Hydrol. Earth Syst. Sci., 16, 4651–4660, https://doi.org/10.5194/hess-16-4651-2012, 2012.
Bayliss, A. C. and Jones, R. C.: Peaks-over-threshold flood database: summary statistics and seasonality, Crowmarsh Gif- ford, Rep. 121, Institute of Hydrology, Wallingford, 61 pp., 1993.
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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.