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Communication Dans Un Congrès Année : 2007

Variational assimilation of Lagrangian Data in Oceanography

Résumé

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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Dates et versions

inria-00177515 , version 1 (08-10-2007)

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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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