Date : July 13-16, 2010
Venue : Beijing Normal University, Beijing, P.R.China

Summary : Data assimilation is an advanced methodology which merges various observations into model dynamics. It has many advantages in model state estimation, model calibration, parameter estimation, uncertainty analysis, and data interpolation. Data assimilation has been playing more and more important roles in land surface, hydrology and ecology studies. Lectures will be given in the following four parts:
-Data sources in land data assimilation
Meteorological observations; remote sensing data products; data processing and synthesis.
-Land surface and distributed hydrological modeling
Advanced land surface models; distributed hydrological models; terrestrial ecological models; model calibration; uncertainties analysis.
-Theory and algorithms of Data assimilation
Cost-function based methods including variational methods and direct evaluation methods; Filtering-based methods, including the ensemble Kalman filter (EnKF), the unscented EnKF and the particle filter
-Application of land data assimilation in hydrology, agriculture and ecology
Various application cases related to water cycle, carbon cycle, crop monitoring and yield estimation.

Sponsors:
-Beijing Normal University College of Global Change and Earth System Science (GCESS/BNU)*
-Beijing office, United Nations Educational, Scientific and Cultural Organization (UNESCO)*
-Monsoon Asia Integrated Research Study (MAIRS )*
-The Asia-Pacific Network for Global Change Research (APN)*
-Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences (CAREERI/CAS)*
-International Hydrology Program, Water and Development Information for Arid Lands-A Global Network (UNESCO IHP G-WADI)
-Institute of Tibetan Plateau Research, Chinese Academy of Sciences (ITPR/CAS)
-Institute of Remote Sensing Applications, Chinese Academy of Science (IRSA/CAS)
（*Financially  Support）

URL: http://www.lsda2010.com/

Contacts: lsda2010@126.com