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Extended triple collocation: estimating errors and correlation coefficients with respect to an unknown target
McColl, Kaighin Alexander; Vogelzang, Jur; Konings, Alexandra G.; Entekhabi, Dara; Piles Guillem, Maria; Stoffelen, Ad
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Calibration and validation of geophysical measurement systems typically require knowledge of the true value of the target variable. However, the data considered to represent the true values often include their own measurement errors, biasing calibration, and validation results. Triple collocation (TC) can be used to estimate the root-mean-square-error (RMSE), using observations from three mutually independent, error-prone measurement systems. Here, we introduce Extended Triple Collocation (ETC): using exactly the same assumptions as TC, we derive an additional performance metric, the correlation coefficient of the measurement system with respect to the unknown target, rho(t,Xi). We demonstrate that rho(2)(t,Xi) is the scaled, unbiased signal-to-noise ratio and provides a complementary perspective compared to the RMSE. We apply it to three collocated wind data sets. Since ETC is as easy to implement as TC, requires no additional assumptions, and provides an extra performance metric, it may be of interest in a wide range of geophysical disciplines.
Peer Reviewed
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
Àrees temàtiques de la UPC::Enginyeria civil::Geologia
Soil moisture--Measurement
Triple collocation
Signal-to-noise ratio
Model validation
Model calibration
Correlation coefficient
Microwave observations
Surface temperature
Sòls -- Humitat -- Mesurament

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