Abstract

A linear mathematical model for the statistical estimate of the bias and noise of satellite sounders and a case study are presented. The model provides the tool for proper comparison of actual performance of the remote sensing system while in orbit to correlative data sets. The model accounts for: (i) noncoincidence in time and space of satellite and validating systems sampling; (ii) different characteristics of the validated and validating systems, e.g., different vertical resolutions and noise levels. In the case study the model is applied to validation of temperature profile retrievals using radiosondes for the reference.

© 2008 Optical Society of America

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