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Determination of mean rainfall from the Special Sensor Microwave/Imager (SSM/I) using a mixed lognormal distributionGlobal estimates of monthly, seasonal, and annual oceanic rainfall are computed for a period of one year using data from the Special Sensor Microwave/Imager (SSM/I). Instantaneous rainfall estimates are derived from brightness temperature values obtained from the satellite data using the Hughes D-matrix algorithm. The instantaneous rainfall estimates are stored in 1 deg square bins over the global oceans for each month. A mixed probability distribution combining a lognormal distribution describing the positive rainfall values and a spike at zero describing the observations indicating no rainfall is used to compute mean values. The resulting data for the period of interest are fitted to a lognormal distribution by using a maximum-likelihood. Mean values are computed for the mixed distribution and qualitative comparisons with published historical results as well as quantitative comparisons with corresponding in situ raingage data are performed.
Document ID
19920047855
Document Type
Reprint (Version printed in journal)
Authors
Berg, Wesley (Colorado, University Boulder, United States)
Chase, Robert (Analytic Sciences Corp. Reading, MA, United States)
Date Acquired
August 15, 2013
Publication Date
April 1, 1992
Publication Information
Publication: Journal of Atmospheric and Oceanic Technology
Volume: 9
ISSN: 0739-0572
Subject Category
METEOROLOGY AND CLIMATOLOGY
Funding Number(s)
CONTRACT_GRANT: NAGW-1191
Distribution Limits
Public
Copyright
Other