Assimilation of Lagrangian Data into an ocean model

Maëlle Nodet 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Within the framework of Global Ocean Data Assimilation Experiment (GODAE), an increasing amount of data are available. A crucial issue for oceanographers is to exploit at best these observations, in order to improve models, climatology, forecasts, etc. Thanks to the international program Argo and to more localized experiments, a new type of data is now available: positions of floats drifting at depth in the ocean. Unlike other data, mainly Eulerian, these ones are Lagrangian: the measuring instrument move in the flow. I will briefly described methods about 4D-Var assimilation of Lagrangian data in the OPAVAR ocean model, and show some results assessing the complementarity with temperature data.
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Communication dans un congrès
ICIAM 07 - 6th International Congress on Industrial and Applied Mathematics, Jul 2007, Zurich, Switzerland. Wiley, 7, pp.1026503-1026504, 2007, Proceedings in Applied Mathematics and Mechanics. 〈10.1002/pamm.200700467〉
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Maëlle Nodet. Assimilation of Lagrangian Data into an ocean model. ICIAM 07 - 6th International Congress on Industrial and Applied Mathematics, Jul 2007, Zurich, Switzerland. Wiley, 7, pp.1026503-1026504, 2007, Proceedings in Applied Mathematics and Mechanics. 〈10.1002/pamm.200700467〉. 〈inria-00177517〉

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