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inria-00259101, version 1

Assimilation of Remote Sensed Data for River Hydraulic Simulations

Jerome Monnier () 1, Marc Honnorat a, 1, Xijun Lai 2, François-Xavier Le Dimet 1

ICIAM 2007 - International Congress on Industrial and Applied Mathematics 7 (2007) 1100203-1100204

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.

  • a –  Institut National Polytechnique de Grenoble
  • 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
  • 2:  Nanjing Institute of Geography Limnology
  • Chinese Academy of Sciences
  • Domain : Computer Science/Modeling and Simulation
    Mathematics/Optimization and Control
 
  • inria-00259101, version 1
  • http://hal.inria.fr/inria-00259101
  • oai:hal.inria.fr:inria-00259101
  • From: Jerome Monnier <>
  • Submitted on: Tuesday, 26 February 2008 16:33:22
  • Updated on: Tuesday, 5 February 2013 22:01:38