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