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

01 October 2007 → 03 September 2012
Regional and community funding: Special Research Fund, Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Physical geography and environmental geoscience
data assimilation soil moisture modelling
Project description

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.