Assimilation of Images in Numerical Models in Geophysics

Arthur Vidard 1 François-Xavier Le Dimet 1 Innocent Souopgui 1 Olivier Titaud 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Predicting the evolution of geophysical fluids (ocean, atmosphere, continental water) is a ma jor scientific and societal challenge. Achieving this goal requires to consider all the available information: numerical models, observations, error statistics... In order to combine these heterogeneous source of information one uses the data assimilation techniques. During the last two decades, many visible and infrared band sensors have been launched on different satellites. This provide a large amount sequence of images of the earth system. This kind of information is underused in current data assimilation systems. In this paper we will describe how to use optimal control methods for data assimilation and in particular we will emphasise on techniques allowing to assimilate sequences of images.
Document type :
Conference papers
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download
https://hal.inria.fr/inria-00319972
Contributor : Arthur Vidard <>
Submitted on : Tuesday, September 9, 2008 - 6:28:21 PM
Last modification on : Wednesday, April 11, 2018 - 1:58:48 AM
Long-term archiving on: Monday, October 8, 2012 - 1:02:32 PM

File

EngOpt_paper.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00319972, version 1

Collections

CNRS | INRIA | INSMI | LJK | LJK_MAD | LJK_MAD_MOISE | UGA | TDS-MACS

Citation

Arthur Vidard, François-Xavier Le Dimet, Innocent Souopgui, Olivier Titaud. Assimilation of Images in Numerical Models in Geophysics. EngOpt 2008 - International Conference on Engineering Optimization, COPPE/UFRJ, Jun 2008, Rio de Janeiro, Brazil. ⟨inria-00319972⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

565

Files downloads

168

Contact


archive-ouverte@inria.fr