Lagrangian data assimilation: accomplishments and challenges for surface drifter applications
A. Griffa, V. Taillandier, T.Ozgokmen, A. Molcard, Y. Chang
RSMAS/CNR
(Abstract received 08/13/2009 for session D)
ABSTRACT
Assimilation of Lagrangian data in OGCMs is emerging as a natural avenue to improve ocean state forecast with many potential practical applications such as environmental pollutant transport, biological and defense-related problems. Methods have been developed to assimilate Lagrangian data, and they have been applied to subsurface ARGO float with very positive results. Present investigations are focused on applications for surface drifters. They are especially challenging because they sample the surface velocity, characterized by high variability, small scale of motion and a mix of geostrophic and ageostrophic dynamics. Reults from velocity reconstruction using drifter data in coastal and open ocean flows are shown and transition to full assimilation is discussed.
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