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.
Complete list of metadatas

Cited literature [4 references]  Display  Hide  Download

https://hal.inria.fr/inria-00177517
Contributor : Maëlle Nodet <>
Submitted on : Tuesday, April 1, 2008 - 4:17:38 PM
Last modification on : Wednesday, April 11, 2018 - 1:58:08 AM
Long-term archiving on: Sunday, April 11, 2010 - 10:26:03 PM

File

Nodet.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Maëlle Nodet. Assimilation of Lagrangian Data into an ocean model. ICIAM 07 - 6th International Congress on Industrial and Applied Mathematics, Jul 2007, Zurich, Switzerland. pp.1026503-1026504, ⟨10.1002/pamm.200700467⟩. ⟨inria-00177517⟩

Share

Metrics

Record views

620

Files downloads

157