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Variational assimilation of Lagrangian Data in Oceanography

Maëlle Nodet 1
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 : Within the framework of the Global Ocean Data Assimilation Experiment, an increasing amount of data is available. A crucial issue for oceanographers is to exploit at best these observations, in order to improve models, climatology, forecasts, etc. 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. I will present methods and results about variational assimilation of Lagrangian data.
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https://hal.inria.fr/inria-00177515
Contributor : Maëlle Nodet Connect in order to contact the contributor
Submitted on : Monday, October 8, 2007 - 2:23:47 PM
Last modification on : Tuesday, October 19, 2021 - 11:12:57 PM

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  • HAL Id : inria-00177515, version 1

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Maëlle Nodet. Variational assimilation of Lagrangian Data in Oceanography. SIAM Conference on Applications of Dynamical Systems, May 2007, Snowbird, Utah, United States. ⟨inria-00177515⟩

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