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Assimilation of Remote Sensed Data for River Hydraulic Simulations

Jerome Monnier 1 Marc Honnorat 1 Xijun Lai 2 François-Xavier Le Dimet 1 
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : In river hydraulics, observations are available only in very small quantities. Consequently, in order to take full advantages of data assimilation for river and flooding models, we think to use remote sensing data which can bring extra information on the flow. Here, we present two studies related to variationnal data assimilation methods for river flows when remote sensed data are available: 1) a real flood event (Moselle river) where we identify inflow discharge when one satellite image and pointwise elevation values are partially available; 2) Assimilation of surface flow trajectories (Lagrangian data). Mathematical models are based on St-Venant equations 1.5D and 2D. Numerical results are presented.
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Submitted on : Tuesday, February 26, 2008 - 4:33:22 PM
Last modification on : Thursday, January 20, 2022 - 5:32:02 PM
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Jerome Monnier, Marc Honnorat, Xijun Lai, François-Xavier Le Dimet. Assimilation of Remote Sensed Data for River Hydraulic Simulations. ICIAM 2007 - International Congress on Industrial and Applied Mathematics, Jul 2007, Zurich, Switzerland. pp.1100203-1100204, ⟨10.1002/pamm.200700680⟩. ⟨inria-00259101⟩



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