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Nimbus-7 global cloud climatology. I - Algorithms and validationAn improved version of the Nimbus-7 cloud retrieval algorithm was validated using data from Nimbus-7 Temperature Humidity Infrared Radiometer and Total Ozone Mapping Spectrometer to determine cloudiness parameters for the globe. Quantitative validation of total cloud amount was performed by comparing the algorithm results with estimates derived from GOES images and auxiliary meteorological data. The systematic errors of the Nimbus-7 total cloud-amount algorithm, relative to the GOES-derived estimates, were found to be less than 10 percent. The random errors of daily estimates ranged between 7 and 16 percent, day or night.
Document ID
19890048553
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Stowe, L. L.
(NOAA, National Environmental Satellite, Data, and Information Service, Washington DC, United States)
Wellemeyer, C. G.
(National Oceanic and Atmospheric Administration Washington, DC, United States)
Yeh, H. Y. M.
(ST Systems Corp. Lanham, MD, United States)
Eck, T. F.
(Science Applications Research Lanham, MD, United States)
Hwang, P. H.
(National Oceanic and Atmospheric Administration Washington, DC, United States)
Kyle, H. L.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 14, 2013
Publication Date
May 1, 1988
Publication Information
Publication: Journal of Climate
Volume: 1
ISSN: 0894-8755
Subject Category
Meteorology And Climatology
Accession Number
89A35924
Distribution Limits
Public
Copyright
Other

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