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The aim of this study is to address the effects of wind-induced drift on afloating sea objects using high--resolution ocean forecast data and atmosphericdata. Two applications of stochastic Leeway model for prediction oftrajectories drift in the Mediterranean sea are presented: long-term simulationof sea drifters in the western Adriatic sea (21.06.2009-23.06.2009) andnumerical reconstruction of the Elba accident (21.06.2009-23.06.2009).Long-term simulations in the western Adriatic sea are performed using wind datafrom the European Center for Medium-Range Weather Forecast (ECMWF) and currentsfrom the Adriatic Forecasting System (AFS). An algorithm of spatial clusteringis proposed to identify the most probable search areas with a high density ofdrifters. The results are compared for different simulation scenarios usingdifferent categories of drifters and forcing fields. The reconstruction of seaobject drift near to the Elba Island is performed using surface currents fromthe Mediterranean Forecasting System (MFS) and atmospheric forcing fields fromthe ECMWF. The results showed that draft-limited to an upper surface driftersmore closely reproduced target trajectory during the accident.

Stochastic modeling for trajectories drift in the ocean: Application of Density Clustering Algorithm