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Project

Assimilation of remotely sensed observations into land surface models to improve surface condition estimates

This project aims at improving the state estimation of the land surface at a regional to a global scale. This will allow to optimize weather and climate predictions or to monitor floods and droughts. New remote sensing observations (satellite, from space) play a crucial role in this project.

Date:1 Oct 2007 →  3 Sep 2012
Keywords:data assimilation, soil moisture, modelling
Disciplines:Physical geography and environmental geoscience