§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.