Paper
15 September 1993 Development of a cloud-layer detection algorithm for the clouds from AVHRR (CLAVR) Phase II code
Paul A. Davis, Larry L. Stowe, E. Paul McClain
Author Affiliations +
Abstract
Global area coverage (GAC) pixel data from the polar-orbiter advanced very high resolution radiometer (AVHRR) and the cloud classifications for 2 X 2 pixel arrays, output from CLAVR Phase-I, constitute the input for the CLAVR Phase-II analysis. The total cloud amount product from Phase-I was based on the assignment of fractional amounts of 1.0 and 0.5 to every pixel labeled cloudy or mixed, respectively, but the latter assignment led to biased total cloud amounts near 50%. In Phase-II, radiometric cloud amounts are determined for the mixed pixels from 11 micrometer radiances within a mapped grid area. The Phase-II procedure was developed for the identification and stratification of overcast (OVCST) cloud types, according to the cloud classifications of Phase-I, in grid areas also containing subsets of mixed and clear pixels. All mixed pixels associated with an observed OVCST type are analyzed statistically to determine fractional amounts of each cloud type (layer) as well as the total cloud amount within the grid area. The bias of Phase-I estimates was eliminated.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul A. Davis, Larry L. Stowe, and E. Paul McClain "Development of a cloud-layer detection algorithm for the clouds from AVHRR (CLAVR) Phase II code", Proc. SPIE 1934, Passive Infrared Remote Sensing of Clouds and the Atmosphere, (15 September 1993); https://doi.org/10.1117/12.154904
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Cited by 4 scholarly publications.
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KEYWORDS
Clouds

Reflectivity

Image analysis

Algorithm development

Multilayers

Detection and tracking algorithms

Spatial coherence

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