| Autor: |
Weisse, Anne, Le H?garat, Sylvie, Aubert, David, Loumagne, C?cile |
| Zdroj: |
La Houille Blanche; February 2002, Vol. 2002 Issue: 1 p35-40, 6p |
| Abstrakt: |
Soil moisture is a key hydrological variable in flood forecasting, because it determines the partition of the rain between runoff and infiltration and thus governs the flows at the outlet of a catchment. The aim of the AIMWATER project is to improve the commonly used hydrological tools in an operational context for reservoir management by assimilating soil moisture data into rainfall-runoff models. The surface soil moisture is derived from ERS/SAR spaceborne data at basin scale. The project has validated the methodology set up to derive the spaceborne information showing its consistency both in time (3 years of consecutive data) and in space (3 Seine sub-catchments). Different assimilation methodologies have been put forward for use and improved in a forecasting context : the variational method is presented here. It updates the parameters values of hydrological models during the forecast. We present in this paper the results of these methodologies applied on the Seine sub-catchments. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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