EGS XXVI General Assembly, Nice, France, March 2001

HSC8. Data assimilation of remotely sensed data in hydrological models:

Event Information

The objective of data assimilation in environmental studies is to provide physically consistent estimates of spatially distributed environmental variables. It does so in an automated way via a methodology that, mathematically, can be viewed as a state estimation problem. By incorporating error terms into the state equations, data assimilation allows us to also address some of the problems related to uncertainty in models and data. This helps to assess the worth of various model structures and data sources and to use this data in an optimal way to validate or drive catchment scale models. However, real-time assimilation of data into a numerical model is far from trivial. This session will focus on the development of data assimilation schemes that allow to make optimal use of remotely sensed data in hydrologic models. Papers are solicited that discuss methods, problems and applications of data assimilation and the use of remote sensing data in hydrological studies.

Preliminary List of Solicited Speakers

Co-Sponsorship