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Several data assimilation methods for geophysical problems

Didier Auroux 1 
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5227
Abstract : In this paper, we present an overview of various data assimilation methods, in order to identify the initial condition of a geophysical system and reconstruct its evolution in time and space. We first present the well known four dimensional variational adjoint method, the 4D-VAR algorithm, and then the four dimensional variational dual method, the 4D-PSAS algorithm, extended to nonlinear models. We present then an improved sequential data assimilation algorithm, the SEEK filter. We finally introduce a new simple algorithm, the Back and Forth Nudging. Some theoretical and numerical results about the BFN algorithm are finally given.
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Submitted on : Tuesday, October 2, 2007 - 5:28:30 PM
Last modification on : Thursday, January 20, 2022 - 5:27:58 PM
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Didier Auroux. Several data assimilation methods for geophysical problems. Indian Journal of Pure and Applied Mathematics, 2006, 37 (1), pp.41-58. ⟨inria-00176180⟩



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