CLDASCountry Line Dance Association of Singapore
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For each station, we converted the FY3B, SMOS, and WindSat soil moisture content data for 1 year so that it was consistent with the CLDAS model data, using U-CDF12- or NU-CDF3 matching methods.
To quantitatively analyze the "superiority" of NU-CDF3 for bias reduction, we calculated the number of automatic soil moisture stations where the satellite and CLDAS model all have valid estimates and the number of stations where the NU-CDF3 was better than U-CDF12 in terms of the three indicators.
Caption: Figure 4: Time series of soil moisture estimates from the CLDAS model, SMOS data, and ASM data for Gansu Province.