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An improved cloud retrieval algorithim using HIRS2-MSU radiance measurementsCloud-top heights and cloud amounts are produced as part of the operational processing of polar-satellite data at the National Environmental Satellite Data and Information Service (NESDIS). These products were compared with similar products from the air force's real-time nephanalysis (RTNEPH), from the International Satellite Cloud Climatology Project, and from NASA Goddard's processing of satellite data. It was found that the amount of high-level cloud was too small in the NESDIS results, while the amount of low-level cloud was too large. An examination of the NESDIS algorithm revealed that the differences in cloud distributions were caused by the selection of channels used for the cloud retrievals. Cloud retrievals are most accurate at the levels at which the channels that are used are most sensitive. In addition, it was found that no one pair of channels was best at all levels. A new procedure was developed that varied the channels as a function of an initial estimate of the cloud height. This procedure produced improved cloud retrievals that were then compared with the RTNEPH results. The comparison showed that the two methods provide similar retrievals of cloud height and amount.
Document ID
19950031821
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Mcmillin, Larry
(Satellite Research Laboratory, Washington, DC United States)
Zhou, Si-Song
(Satellite Research Laboratory, Washington, DC United States)
Yang, Shi-Keng
(Research and Data System Corp. Greenbelt, MD, United States)
Date Acquired
August 16, 2013
Publication Date
February 1, 1994
Publication Information
Publication: Journal of Applied Meteorology
Volume: 33
Issue: 2
ISSN: 0894-8763
Subject Category
Meteorology And Climatology
Accession Number
95A63420
Distribution Limits
Public
Copyright
Other

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