Articles | Volume 21, issue 7
https://doi.org/10.5194/hess-21-3597-2017
https://doi.org/10.5194/hess-21-3597-2017
Research article
 | 
17 Jul 2017
Research article |  | 17 Jul 2017

Reproducing an extreme flood with uncertain post-event information

Diana Fuentes-Andino, Keith Beven, Sven Halldin, Chong-Yu Xu, José Eduardo Reynolds, and Giuliano Di Baldassarre

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Latest update: 16 Jun 2024
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Short summary
Reproduction of past floods requires information on discharge and flood extent, commonly unavailable or uncertain during extreme events. We explored the possibility of reproducing an extreme flood disaster using rainfall and post-event hydrometric information by combining a rainfall-runoff and hydraulic modelling tool within an uncertainty analysis framework. Considering the uncertainty in post–event data, it was possible to reasonably reproduce the extreme event.