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Use
a LSM to generate a “truth” data set that provides
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both
surface soil moisture “observations” and
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evaluation
data.
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Degrade
the land surface forcing data and initial
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conditions
to simulate uncertainties in this data
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(assume
a perfect model).
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Run
the LSM with degraded data.
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Run
the LSM with degraded data and assimilate the
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“observations”
with various levels of error imposed
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using
the extended Kalman filter.
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Compare
with the “truth”.
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