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Correcting the radar rainfall forcing of a hydrological model with data assimilation: application to flood forecasting in the Lez catchment in Southern France

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Figure

Fig. 1. Visualisation of the Lez catchment and its monitoring network: map of the Lez catchment, the rain gauges used for the measurementof ground rainfall, and the Nˆımes weather radar.
Fig. 1). Radar data were treated using the HYDRAM al-gorithm developed by M´et´eo-France (Cheze and Helloco,1999) for the correction of ground clutters, the vertical pro-
Fig. 2. Schematic representation of the ATHYS runoff productionfunction (Bouvier and Delclaux, 1996).
Table 2. Theindicator,S S – catchment wetness state indicator relationship. M is the slope of the linear regression between Scal and the wetness state b is the y-intercept, and R2 is the coefficient of determination for this regression
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