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Images: New Perspectives in Data Assimilation

François-Xavier Le Dimet 1 Eric Blayo 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 : Assimilation of satellite images is an attempt to conjugate the information contained in atmospheric or oceanographic models and images. We will discuss the main directions of research in this field. The first approach is to estimate from images some pseudo observations such as velocities then to assimilate them in a classical scheme of data assimilation. The other approach is to add to the classical variational analysis a space of images with a metric structure and an operator from the space of the solutions of the numerical model toward the space of images in order to be able to compute the discrepancy between the model and the images then to plug it in a variational method. In this communication we will present both approaches with applications to actual situations, the comparison between these approaches will be discussed
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https://hal.inria.fr/inria-00391904
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Submitted on : Friday, June 5, 2009 - 10:31:56 AM
Last modification on : Friday, April 22, 2022 - 9:02:01 AM

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  • HAL Id : inria-00391904, version 1

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François-Xavier Le Dimet, Eric Blayo. Images: New Perspectives in Data Assimilation. SIAM Conference on Computational Science and Engineering, Feb 2007, Costa Mesa, CA, United States. ⟨inria-00391904⟩

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