Nimbus-7 global cloud climatology. I - Algorithms and validation

An 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 comparin...

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Bibliographic Details
Published in:Journal of climate 1988-05, Vol.1 (5), p.445-470
Main Authors: Stowe, L. L., Wellemeyer, C. G., Yeh, H. Y. M., Eck, T. F., Hwang, P. H., Kyle, H. L.
Format: Article
Language:English
Subjects:
Climatology. Bioclimatology. Climate change
Earth, ocean, space
Exact sciences and technology
External geophysics
Meteorology
Meteorology And Climatology
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Summary:An 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.
ISSN:0894-8755
1520-0442