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Pattern recognition in the satellite temperature retrieval problemPattern recognition procedures have been developed in order to improve the first-guess fields for satellite temperature retrievals. The first procedure is used to select one or more historical radiosonde temperature profiles as analog estimates of ambient thermal structure. The second procedure is used to organize a priori data into shape-coherent pattern libraries using structural information inherent in the data itself. On the basis of independent tests of about 800 temperature retrievals, it was found that: (1) the pattern recognition techniques reduced first-guess profile errors by nearly 50 percent in comparison with traditional partitioning schemes; and (2) with regression and physical-iterative retrieval algorithms, however, the effect of pattern recognition on temperature retrieval error was insignificant. Analysis of individual retrieval errors showed that poor retrievals may outweigh the potential benefits of both pattern recognition techniques.
Document ID
19850049046
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Thompson, O. E.
(Maryland, University College Park, MD, United States)
Goldberg, M. D.
(Systems and Applied Sciences Corp., Hyattsville; Maryland, University College Park, MD, United States)
Dazlich, D. A.
(MACOM/Sigma Data Corp., Greenbelt; Maryland, University College Park, MD, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1985
Publication Information
Publication: Journal of Climate and Applied Meteorology
Volume: 24
ISSN: 0733-3021
Subject Category
Meteorology And Climatology
Accession Number
85A31197
Funding Number(s)
CONTRACT_GRANT: NAG5-292
CONTRACT_GRANT: NSG-5209
Distribution Limits
Public
Copyright
Other

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