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Conference Papers Year : 2006

Variational data assimilation for 2D fluvial hydraulics simulations

Abstract

A numerical method for model parameters identification is presented for a river model based on a finite volume discretization of the bidimensional shallow water equations. We use variational data assimilation to combine optimally physical information from the model and observation data of the physical system in order to identify the value of model inputs that correspond to a numerical simulation which is consistent with reality. Two numerical examples demonstrate the efficiency of the method for the identification of the inlet discharge and the bed elevation. An application to real data on the Pearl River for the identification of boundary conditions is presented.
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Dates and versions

hal-00908191 , version 1 (22-11-2013)

Identifiers

  • HAL Id : hal-00908191 , version 1

Cite

Marc Honnorat, Xijun Lai, Jerome Monnier, Francois-Xavier Le Dimet. Variational data assimilation for 2D fluvial hydraulics simulations. CMWR XVI-Computational Methods for Water Ressources, Jun 2006, Copenhagen, Denmark. ⟨hal-00908191⟩
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