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Models, Data and Images for Predicting the Evolution of Geophysical Fluids

François-Xavier Le Dimet 1 Innocent Souopgui 1 Olivier Titaud 1 Arthur Vidard 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann, Inria Grenoble - Rhône-Alpes
Abstract : Predicting the evolution of the environment is an important and difficult task. To achieve this goal we need to consider all the available information: mathematical information under the form of models, observations, statistics, images from satellites. We will see how to use optimal control methods in order to link together theses sources of information for retrieving at best the state of the environment. A particular attention will be paid to the assimilation of dynamic images in numerical models.
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Submitted on : Wednesday, October 1, 2008 - 6:08:16 PM
Last modification on : Wednesday, February 2, 2022 - 3:55:12 PM
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François-Xavier Le Dimet, Innocent Souopgui, Olivier Titaud, Arthur Vidard. Models, Data and Images for Predicting the Evolution of Geophysical Fluids. Acta Mathematica Vietnamica, Springer Singapore, 2009, 34 (1), pp.37-47. ⟨inria-00326125⟩



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