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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 2, issue 2
Ocean Sci., 2, 223–236, 2006
https://doi.org/10.5194/os-2-223-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

Special issue: Mediterranean Ocean Forecasting System: toward environmental...

Ocean Sci., 2, 223–236, 2006
https://doi.org/10.5194/os-2-223-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  22 Nov 2006

22 Nov 2006

Implementation of position assimilation for ARGO floats in a realistic Mediterranean Sea OPA model and twin experiment testing

V. Taillandier1 and A. Griffa1,2 V. Taillandier and A. Griffa
  • 1CNR-ISMAR, La Spezia, Italy
  • 2RSMAS, University of Miami, Florida, USA

Abstract. In this paper, a Lagrangian assimilation method is presented and implemented in a realistic OPA OGCM with the goal of providing an assessment of the assimilation of realistic Argo float position data. We focus on an application in the Mediterranean Sea, where in the framework of the MFSTEP project an array of Argo floats have been deployed with parking depth at 350 m and sampling interval of 5 days. In order to quantitatively test the method, the "twin experiment" approach is followed and synthetic trajectories are considered. The method is first tested using "perfect" data, i.e. without shear drift errors and with relatively high coverage. Results show that the assimilation is effective, correcting the velocity field at the parking depth, as well as the velocity profiles and the geostrophically adjusted mass field. We then consider the impact of realistic datasets, which are spatially sparse and characterized by shear drift errors. Such data provide a limited global correction of the model state, but they efficiently act on the location, intensity and shape of the described mesoscale structures of the intermediate circulation.

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