AbstractCurrently, global cloud amount estimates from the National Environmental Satellite, Data, and Information Service (NESDIS) experimental cloud remote sensing algorithm, CLAVR ( Cl ouds from AV HR R ) - Phase I, are biased towards 50% cloud cover. This is caused by assigning 50% cloud amount to 2×2 global area coverage (GAC) pixel arrays which have been classified as “mixed”. The classification identifies pixel arrays that are spatially non-uniform in albedo or temperature. To remove this source of bias, a clear-sky radiation data set (CRDS) is produced from “clear” pixels located in half degree latitude/longitude grids. Statistics of each channel's radiation measurements are computed over the 9-day repeat cycle of the polar orbiting satellite. The previous 8-day CRDS record is then used to predict the clear-sky radiation values for the current day (9th day) being processed. These are used to reclassify mixed pixels into clear or cloudy categories.


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    Title :

    AVHRR clear-sky radiation data sets at NOAA/NESDIS


    Contributors:
    Stowe, L.L. (author) / Vemury, S.K. (author) / Rao, A.V. (author)

    Published in:

    Advances in Space Research ; 14 , 1 ; 113-116


    Publication date :

    1993-01-01


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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