Error Estimation of Buoy, Satellite, and Model Wave Height Data

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Characterization of precipitation product errors across the United States using multiplicative triple collocation (2015, methodology): “, 2013), it has also been successfully applied to other geophysical variables such as ocean wind speed and wave height (Stoffelen, 1998; Janssen et al., 2007; Portabella and Stoffelen, 2009), leaf area index (LAI) (Fang et al.”
Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method (2012, methodology): “Theoretical uncertainties are caused by uncertainties in the input data and model imperfections and are usually estimated by individual product science teams (Baret et al., 2007; Knyazikhin et al., 1999; Pinty et al., 2011).”
A possible solution for the problem of estimating the error structure of global soil moisture data sets (2008, methodology): “This technique has been used previously in oceanography to evaluate wind and wave height observations [Stoffelen, 1998; Caires and Sterl, 2003; Janssen et al., 2007].”
Extended triple collocation: Estimating errors and correlation coefficients with respect to an unknown target (2014, unknown): “, 2011), and wave height (Caires and Sterl, 2003; Janssen et al., 2007).”