EGU21-2984
https://doi.org/10.5194/egusphere-egu21-2984
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Investigating hydrological model versatility to simulate extreme flood events 

Daniela Peredo Ramirez1,2, Maria-Helena Ramos1, Vazken Andréassian1, and Ludovic Oudin2
Daniela Peredo Ramirez et al.
  • 1Université Paris-Saclay, INRAE, UR HYCAR, Antony, France (daniela.peredo@inrae.fr)
  • 2UMR Metis, Sorbonne Université, Paris, France

High-impact flood events in the Mediterranean region are often the result of a combination of local climate and topographic characteristics of the region. Therefore, the way runoff generation processes are represented in hydrological models is a key factor to simulate and forecast floods. In this study, we adapt an existing model in order to increase its versatility to simulate flood events occurring under different conditions: during or after wet periods and after long and dry summer periods. The model adaptation introduces a dependency on rainfall intensity in the production function. The impact of this adaptation is analysed considering model performance over selected flood events and also over a continuous 10-year period of flows. The event-based assessment showed that the adapted model structure performs better than or equal to the original model structure in terms of differences in the timing of peak discharges, regardless of the season of the year when the flood occurs. The most important improvement was observed in the simulation of the magnitude of the flood peaks. A visualisation of model versatility is proposed, which allows detecting the time steps when the new model structure tends to behave more similarly or differently from the original model structure in terms of runoff production. Overall, the results show the potential of the model adaptation proposed to simulate floods originated by different hydrological processes and the value of increasing hydrological model versatility to simulate extreme events.

How to cite: Peredo Ramirez, D., Ramos, M.-H., Andréassian, V., and Oudin, L.: Investigating hydrological model versatility to simulate extreme flood events , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-2984, https://doi.org/10.5194/egusphere-egu21-2984, 2021.