A Bayesian cloud mask for sea surface temperature retrieval

A Bayesian cloud mask for sea surface temperature retrieval

Bayesian methods are used to develop a Cloud mask classification algorithm for use in an operational sea Surface temperature (SST) retrieval processing system for Advanced Very High Resolution Radiometer (AVHRR) local area coverage (LAC) resolution data. Both radiative and spatial features are incor...

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Veröffentlicht in:Journal of atmospheric and oceanic technology 1999-01, Vol.16 (1), p.117-132
Hauptverfasser: Uddstrom, Michael J, Gray, Warren R, Murphy, Richard, Oien, Niles A, Murray, Talbot
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Atmosphere
Bayesian analysis
Clouds
Marine
Oceanography
Oceans
Sea surface temperature
Temperature
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Zusammenfassung:Bayesian methods are used to develop a Cloud mask classification algorithm for use in an operational sea Surface temperature (SST) retrieval processing system for Advanced Very High Resolution Radiometer (AVHRR) local area coverage (LAC) resolution data. Both radiative and spatial features are incorporated in the resulting discriminant functions. which are determined from a large training sample of cloudy and clear observations.
ISSN:0739-0572
1520-0426
DOI:10.1175/1520-0426(1999)016<0117:ABCMFS>2.0.CO;2