Skip to Main content Skip to Navigation
Journal articles

When monstrosity can be beautiful while normality can be ugly: assessing the performance of event-based flood models

Abstract : The significance of the Nash-Sutcliffe efficiency (NSE) is analysed and a new method to assess the performance of flood event models proposed. The focus is on the specific cases of events that are difficult to model and characterized by low NSE values, which we call "monsters". The properties of the NSE were analysed as a function of the calculated hydrograph shape and of the benchmark reference model. The results show that a "monster" can be due solely to a simple lag translation or a homothetic ratio which reproduces the dynamic of the hydrograph, with acceptable errors on other criteria. In the opposite case, good simulations characterized by NSE close to 1 can become "monsters" if the average observed discharge used as a benchmark reference model in the NSE is modified. Finally, a multi-criteria analysis method to assess the model performance on each event is proposed and applied on the Gardon d'Anduze catchment, in France
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02662103
Contributor : Migration Prodinra <>
Submitted on : Saturday, May 30, 2020 - 11:27:40 PM
Last modification on : Wednesday, November 11, 2020 - 7:42:03 PM

Identifiers

Citation

Roger Moussa. When monstrosity can be beautiful while normality can be ugly: assessing the performance of event-based flood models. Hydrological Sciences Journal, Taylor & Francis, 2010, 55 (6), pp.1074-1084. ⟨10.1080/02626667.2010.505893⟩. ⟨hal-02662103⟩

Share

Metrics

Record views

35