Observed and corrected trajectories for all drifters over mean current field (radar)
In TOSCA, CNR-ISMAR has customized an assimilation tool called LAVA (Larangian Variational Analysis) previously developed in collaboration with University of Toulon, LOVS and RSMAS. LAVA combines outputs from radar or models with drifter data, optimizing the trajectory prediction
A crucial issue in improving the prediction of transport due to ocean currents is to optimize the use of data and models.
Radar and drifter platforms are extremely useful but they have limitation (as any other platform):
- HF radar velocity has typical errors of 5-10 cm/sec;
- drifters provide limited geographical coverage;
- both systems provide information only at the ocean surface and they cannot provide forecast…
General strategy: use information from radar and drifters together with modelling information through assimilation or fusion techniques in order to enhance transport prediction.