Articles | Volume 21, issue 7
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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Cited articles

Abily, M., Bertrand, N., Delestre, O., Gourbesville, P., and Duluc, C.-M.: Spatial global sensitivity analysis of high resolution classified topographic data use in 2-D urban flood modelling, Environ. Modell. Softw., 77, 183–195,, 2016.
Alvarado, L. and Alfaro, E.: Frecuencia de los ciclones tropicales que afectaron a Costa Rica durante el siglo XX, Tópicos Meteorológicos y Oceanográficos, 10, 1–11, 2003.
Amador, J. A., Alfaro, E. J., Lizano, O. G., and Magaña, V. O.: Atmospheric forcing of the eastern tropical Pacific: a review, Prog. Oceanogr., 69, 101–142,, 2006.
Angel, S., Bartley, K., Derr, M., Malur, A., Mejía, J., Nuka, P., Perlin, M., Sahai, S., Torrens, M., and Vargas, M.: Rapid urbanization in Tegucigalpa, Honduras. Preparing for the doubling of the city's population in the next twenty-five years, Woodrow Wilson School of Public and International Affairs, Princenton, available at: (last access: 13 July 2017) 2004.
Aronica, G., Hankin, B., and Beven, K.: Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data, Adv. Water Resour., 22, 349–365,, 1998.
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.