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Multi resolution variational data assimilation system for the ocean

Arthur Vidard 1, * Laurent Debreu 1 Emilie Neveu 2
* Corresponding author
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : The convergence of variational data assimilation algorithm for high dimensional non- linear system is an impor- tant issue. In this presentation we will focus on two multi scale approaches for solving the 4D variational data assimilation problem, the truncated Gauss Newton (TGN) and the Multi scale Gauss Newton (MsGN) algorithms. Both requires the use of operators allowing to project system states from one resolution to another, which could be delicate for ocean applications due to complex boundaries These algorithms are part of recent developments of the NEMOVAR system, which is a state-of-the-art variational data assimilation system for the NEMO European ocean community model. NEMOVAR is used in two major operational centres in its 3D-Fgat configuration. The general NEMOVAR framework and the TGN and MsGN algorithms will be presented, they will be applied to realistic ocean configurations and their relative merits will be compared, and difficulties related to the specificities of the ocean will be discussed
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Submitted on : Tuesday, October 29, 2013 - 1:04:44 PM
Last modification on : Thursday, January 20, 2022 - 5:28:05 PM


  • HAL Id : hal-00877890, version 1


Arthur Vidard, Laurent Debreu, Emilie Neveu. Multi resolution variational data assimilation system for the ocean. EGU 2013 - European Geosciences Union General Assembly 2013, Apr 2013, Vienne, Austria. ⟨hal-00877890⟩



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