The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France - Météo-France Access content directly
Journal Articles Journal of Geophysical Research: Atmospheres Year : 2008

The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France


The hydrometeorological model SIM consists in a meterological analysis system (SAFRAN), a land surface model (ISBA) and a hydrogeological model (MODCOU). It generates atmospheric forcing at an hourly time step, and it computes water and surface energy budgets, the river ow at more than 900 rivergauging stations, and the level of several aquifers. SIM was extended over all of France in order to have a homogeneous nation-wide monitoring of the water resources: it can therefore be used to forecast flood risk and to monitor drought risk over the entire nation. The hydrometeorologival model was applied over a 10-year period from 1995 to 2005. In this paper the databases used by the SIM model are presented, then the 10-year simulation is assessed by using the observations of daily stream-flow, piezometric head, and snow depth. This assessment shows that SIM is able to reproduce the spatial and temporal variabilities of the water fluxes. The efficiency is above 0.55 (reasonable results) for 66 % of the simulated rivergages, and above 0.65 (rather good results) for 36 % of them. However, the SIM system produces worse results during the driest years, which is more likely due to the fact that only few aquifers are simulated explicitly. The annual evolution of the snow depth is well reproduced, with a square correlation coeficient around 0.9 over the large altitude range in the domain. The stream ow observations were used to estimate the overall error of the simulated latent heat ux, which was estimated to be less than 4 %.
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Dates and versions

meteo-00274446 , version 1 (18-04-2008)



Florence Habets, Aaron Boone, Jean-Louis Champeaux, Pierre Etchevers, Laurent Franchisteguy, et al.. The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France. Journal of Geophysical Research: Atmospheres, 2008, 113 (D06113), pp.18. ⟨10.1029/2007JD008548⟩. ⟨meteo-00274446⟩
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