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Characterization of Satellite-derived Cloud Products for Application in an Aircraft Icing Prediction System

Cloud properties as derived from the Geostationary Operational Environmental Satellite (GOES) Imager are evaluated for their ability to detect supercooled liquid clouds that may produce aircraft icing. Assessment methods include point comparisons with in situ measurements and statistical characterization of image uniformity and gradients. Results are consistent with anecdotal evidence that suggests satellite-derived liquid water path and hydrometeor phase are useful for this application.