inria-00256581, version 1
Lagrangian data assimilation for river hydraulics simulations
Marc Honnorat b, 1Jerome Monnier
a, 1Francois-Xavier Le Dimet b, 1
Computing and Visualization in Science 12, 5 (2009) 235-246
Résumé : We present a method to use lagrangian data from remote sensing observation in a variational data assimilation process for a river hydraulics model based on the bidimensional shallow water equations. The trajectories of particles advected by the flow can be extracted from video images and are used in addition to classical eulerian observations. This lagrangian data brings information on the surface velocity thanks to an appropriate transport model. Numerical twin data assimilation experiments in an academic flow configuration demonstrate that this method makes it possible to significantly improve the identification of local bed elevation and initial conditions.
- a – Institut National Polytechnique de Grenoble - INPG
- b – INRIA
- 1 : MOISE (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : UMR5224 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut Polytechnique de Grenoble - Grenoble Institute of Technology
- Domaine : Mathématiques/Equations aux dérivées partielles
Mathématiques/Analyse numériqueMathématiques/Optimisation et contrôle
- inria-00256581, version 1
- http://hal.inria.fr/inria-00256581
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- Contributeur : Jerome Monnier
- Soumis le : Vendredi 15 Février 2008, 16:30:49
- Dernière modification le : Vendredi 22 Février 2013, 21:15:40
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