On the quality of high‐resolution scatterometer winds

By Jur Vogelzang, Ad Stoffelen, A. Verhoef, J. Figa-Saldana. 2011

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Triple collocation for binary and categorical variables: Application to validating landscape freeze/thaw retrievals (2016, background): “It is possible that (R1*) is violated in our analysis, for example, due to representativeness errors (Stoffelen, 1998; Vogelzang et al., 2011), although we note that (R1*) is a substantially weaker assumption than (R1) and (R2), and thus less likely to be violated in general.”
Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals (2017, unknown): “oceanography, and ecology (see [40]–[44]).”
Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target (2014, methodology): “For wind measurements, can be estimated using assumptions about the wind spectra (Stoffelen, 1998; Vogelzang et al., 2011), but little is known about the representativeness error for other target variables.”
Estimating error cross‐correlations in soil moisture data sets using extended collocation analysis (2016, background): “It is worth mentioning that even though only soil moisture data sets are considered in this study, EC is—just like TC—also applicable to other geophysical variables in hydrometeorology and oceanography [e.g., Vogelzang et al., 2011; Caires and Sterl, 2003; Roebeling et al., 2012; Fang et al., 2012].”