Variational data assimilation for 2D fluvial hydraulics simulations

Marc Honnorat (1, 2) , Xijun Lai (3) , Jerome Monnier (1, 2) , Francois-Xavier Le Dimet (1, 2)

1 IDOPT - System identification and optimization in physics and environment
2 LMC - IMAG - Laboratoire de Modélisation et Calcul
3 Niglas - Nanjing Institute of Geography and Limnology

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.

Domaines: Optimisation et contrôle [math.OC]; Modélisation et simulation; Environnement et Société

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⟩