Surface Circulation from Satellite Images: Reduced Model of the Black Sea

Etienne Huot (1, 2, 3) , Isabelle Herlin (1, 2) , Giuseppe Papari (4) , Karim Drifi (1, 2)

1 Clime - Coupling environmental data and simulation models for software integration
2 CEREA - Centre d'Enseignement et de Recherche en Environnement Atmosphérique
3 UVSQ - Université de Versailles Saint-Quentin-en-Yvelines
4 Lithicon Norway AS

Estimating surface circulation from satellite images is a hot subject for a large range of applications. Motion estimation from image data has been studied for long in the literature of Image Processing, and more recently in that of Data Assimilation (DA). This paper describes how the construction of dedicated spaces for projecting motion and image fields allows applying DA methods with a reduced model and eases the estimation of surface circulation on the whole Black Sea basin.

Mots clés: Reduced model; waveform; data assimilation; image processing

Domaines: Modélisation et simulation

Etienne Huot, Isabelle Herlin, Giuseppe Papari, Karim Drifi. Surface Circulation from Satellite Images: Reduced Model of the Black Sea. Integrated system of the Black and Azov seas' monitoring international conference, Marine Hydrophysical Institute, Sep 2013, Kiev, Ukraine. ⟨hal-00878071⟩