Please contact the program organizer, Mike Ek (Michael.Ek@noaa.gov) for additional information. This session highlights advances in development and applications of land data assimilation systems (LDAS), which merge ground- or satellite-based land surface observations with estimates from coupled or off-line land surface models, and can be used to initialize weather and seasonal climate forecasts, monitor and predict extreme events, provide improved background information for atmospheric data assimilation, improve process understanding, and support model development. Contributions may include studies that evaluate or improve land DA methods, assess the impact of the assimilation on the quality of theLDAS products, or use LDAS for the above-mentioned applications. Moreover, contributions may address the simultaneous assimilation of multiple observation types, use of current and planned hydrology satellite missions, or focus on operational and other routinely-run systems for land-hydrology analysis, forecasting and related purposes.