| Session Details | |
| Section | AS - Atmospheric Sciences |
| Session Title | Sasaki Symposium on Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications |
| Main Convener | Prof. Seon Ki Park (Ewha Womans University, Korea, South) |
| Co-convener(s) | Dr. Liang Xu (Naval Research Laboratory, United States) Prof. François-Xavier Le Dimet (Université Joseph Fourier, France) |
| Session Description | Atmospheric, oceanic and hydrologic processes are the key drivers of earth system processes. Observational data on the earth system state and flux are available from both in-situ and remotely-sensed observing systems, but these data are limited in both space and time. By incorporating such observations into earth system models through data assimilation methods, the most accurate (optimal) estimates of earth system states and fluxes may be obtained. Due to the multidisciplinary nature of earth system modeling and prediction, it is important to understand the recent progress on modeling and data assimilation in these major disciplines of geosciences. Topics for the session include but are not limited to: 1) assimilation techniques and theories; 2) treatment of nonlinear and discontinuous processes; 3) assimilation of in-situ and/or remotely-sensed observational data; 4) sensitivity analysis and its application to adaptive (targeting) observation; and 5) predictability and ensemble prediction studies relevant to data assimilation. This session is especially organized in honor of Prof. Yoshi K. Sasaki, Emeritus Professor of Meteorology at the University of Oklahoma, who pioneered in applying the variational technique to data assimilation of geoscience problems. |