§Data Assimilation merges observations & model predictions to provide a superior state estimate:
T = S + K (O - S)
§DA Methods: Direct insertion, Kalman Filter.
§Kalman Filters: Extended(EKF), Ensemble(EnKF).
§Land Data Assimilation System(LDAS) is a systematic integration of various land surface models and assimilation methods that uses all relevant observed forcing, storage and validation data sets. Examples of these land surface models are: Mosaic, CLM, Catchment, NOAH, etc.
§AMSR-E is one of the remote sensing sensors on-board NASA’s Aqua satellite. Daily land products from the sensor include: surface soil moisture, brightness temps., surface temps. and vegetation water content. The surface soil moisture products will use the 6.9GHz and 10.7GHz channels.
Background Information :