par Carrière, Olivier ;Hermand, Jean-Pierre ;Stéphan, Yann
Référence Annales hydrographiques, 7, 4, page (1-7)
Publication Publié, 2010-10
Article révisé par les pairs
Résumé : Ocean modeling and forecasting require significant hydro-graphic and satellite measurements to provide accurate and valid results through assimilation methods. In coastal environment, this task is made more complex because of the strong coupling between state variables and forcing, the lack of data and the frequent model break. In addition, in the region of Ushant, cloud cover often makes it impossible to use satellite measurements. Acoustic tomography can provide complementary measures in time and space scales relevant to regional modeling. In this context, this paper develops an approach to acoustic data assimilation based on Kalman filters using a feature model to parameterize the thermal front of Ushant. The simulation results show that this approach could acoustically track the front position, when present.