Assimilation of one satellite SAR image for flood simulations. Method and test case Moser riverReport as inadecuate




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1 CRPGL - Centre de Recherche Public - Gabriel Lippmann 2 Niglas - Nanjing Institute of Geography and Limnology 3 MOISE - Modelling, Observations, Identification for Environmental Sciences Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble 4 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale

Abstract : In view of improving numerical flood prediction, a variational data assimilation method 4D-var applied to a 2D shallow water model and using distributed water level obtained from one Synthetic Aperture Radar SAR image is presented. The RADARSAT-1 image leads to water levels with a ±40cm average vertical uncertainty of a Mosel River flood event 1997, France. Assimilated in the 2D shallow water hydraulic model, these SAR derived spatially distributed water levels prove to be capable of enhancing model calibration. Indeed, the assimilation process can identify some optimal Manning friction coefficients. Moreover, used as a guide for sensitivity analysis, remote sensing water levels allow also in identifying some areas in the floodplain and the channel where Manning friction coefficients are homogeneous. This allows basing the spatial segmentation of roughness coefficient on floodplain hydraulic functioning.





Author: Renaud Hostache - Xijun Lai - Jerome Monnier - Christian Puech -

Source: https://hal.archives-ouvertes.fr/



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