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| § |
Ensemble Kalman Filter will be implemented in LDAS to further
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compare the relative advantages of EnKF and EKF.
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Other land surface models (Catchment, CLM,
NOAH, VIC) will be used
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with Kalman
Filters for
assimilating land data products from satellite
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observations.
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The most efficient
and reliable data assimilation algorithm and land
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surface model will be selected for operational procedures of AMSR-E
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land product validation.
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Soil moisture assimilation results will also be analyzed with
model
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output of fluxes.
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How model error variance and observation error variance can be
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known a
priori?
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How to implement the assimilation algorithm to the global scale?
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How the spatial
heteorogeneity of
land surafce state variables can be
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considered or used in the data assimilation and/or validation?
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