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Determine precipitation rates from visible and infrared satellite images of clouds by pattern recognition techniqueA more advanced cloud pattern analysis algorithm was subsequently developed to take the shape and brightness of the various clouds into account in a manner that is more consistent with the human analyst's perception of GOES cloud imagery. The results of that classification scheme were compared with precipitation probabilities observed from ships of opportunity off the U.S. east coast to derive empirical regressions between cloud types and precipitation probability. The cloud morphology was then quantitatively and objectively used to map precipitation probabilities during two winter months during which severe cold air outbreaks were observed over the northwest Atlantic. Precipitation probabilities associated with various cloud types are summarized. Maps of precipitation probability derived from the cloud morphology analysis program for two months and the precipitation probability derived from thirty years of ship observation were observed.
Document ID
19870010417
Acquisition Source
Legacy CDMS
Document Type
Thesis/Dissertation
Authors
Weinman, James A.
(Wisconsin Univ. Madison, WI, United States)
Garan, Louis
(Wisconsin Univ. Madison, WI, United States)
Date Acquired
September 5, 2013
Publication Date
April 8, 1987
Subject Category
Meteorology And Climatology
Report/Patent Number
NAS 1.26:180261
NASA-CR-180261
Accession Number
87N19850
Funding Number(s)
CONTRACT_GRANT: NAG5-580
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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