Prediction of particle trajectories in the Adriatic Sea using Lagrangian data assimilation

The predictability of Lagrangian particle trajectories in the Adriatic Sea (a semi-enclosed sub-basin of the Mediterranean Sea) over a period of 1–2 weeks is investigated using three clusters consisting of 5–7 drifters. The analysis is conducted using a Gauss–Markov Lagrangian particle model, which...

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Bibliographic Details
Published in:Journal of marine systems 2001-05, Vol.29 (1), p.33-50
Main Authors: Castellari, Sergio, Griffa, Annalisa, Özgökmen, Tamay M., Poulain, Pierre-Marie
Format: Article
Language:English
Subjects:
Adriatic Sea
Assimilation
Earth, ocean, space
Exact sciences and technology
External geophysics
Lagrangian data
Marine
Physics of the oceans
Prediction
Thermohaline structure and circulation. Turbulence and diffusion
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Summary:The predictability of Lagrangian particle trajectories in the Adriatic Sea (a semi-enclosed sub-basin of the Mediterranean Sea) over a period of 1–2 weeks is investigated using three clusters consisting of 5–7 drifters. The analysis is conducted using a Gauss–Markov Lagrangian particle model, which relies on the estimate of climatological mean flow field, persistence of turbulence, and assimilation of velocity data from the surrounding drifters through a Kalman filtering technique. The results are described using the data density N R defined as the number of drifters within a distance on the order of the Rossby radius of deformation from the particle to be predicted. The clusters are inherently different with respect to this characteristic property with values ranging from N R
ISSN:0924-7963
1879-1573
DOI:10.1016/S0924-7963(01)00008-2