Developing exact mathematical models to stimulate and predict oceanic and atmospheric motions is a difficult process because of the complex multi-physical intereactions. Satellite images provide a powerful tool to extract in detail some information at various scales that could be used to reduce the uncertainies in the numerical models. Constraining the models with those images requires introducing some physical knowledge about the studied motion. The goal of this project is to study approaches that would allow to directly contraining and calibrating numerical models with structures extracted from images.​​​​​​

​Literature review of images assimilation methods. Explore and study the efficiency of ensemble Kalman flitering methods for images assimilation. Implement and assess performance with numberical test models (e.g. Shallow water)​​

​​Applied Mathematics, Earth Sciences and Engineering, Electric Engineering or any related field.