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Evaluating the utility of satellite soil moisture retrievals over irrigated areas and the ability of land data assimilation methods to correct for unmodeled processes

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Academic year: 2020

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Figure

Figure 2. Surface soil moisture time series for the year 2000 from two simulations of a land surface model: (1) a free-running modelsimulation with the NLDAS-2 forcing (SIM1), and (2) a seasonal irrigation scheme simulated on top of SIM1 (SIM2).
Figure 3. A comparison of the cumulative distribution func-tions (CDFs) from SIM1 and SIM2 integrations.
Figure 4. Kolmogorov–Smirnov distance (D) from comparison of soil moisture distributions from SIM1 and SIM2 integrations.
Figure 5. K–S distance (D) from the comparison of soil moisture distributions from the land surface model and various satellite remotesensing data sets
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