Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 21, issue 7
Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3687-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-3687-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 21, issue 7
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

Viewed

Total article views: 2,752 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,731 923 98 2,752 86 114
  • HTML: 1,731
  • PDF: 923
  • XML: 98
  • Total: 2,752
  • BibTeX: 86
  • EndNote: 114
Views and downloads (calculated since 15 Dec 2016)
Cumulative views and downloads (calculated since 15 Dec 2016)

Viewed (geographical distribution)

Total article views: 2,752 (including HTML, PDF, and XML) Thereof 2,690 with geography defined and 62 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Mar 2025
Download
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.
Read more
Share