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Estimating the exceedance probability of rain rate by logistic regressionRecent studies have shown that the fraction of an area with rain intensity above a fixed threshold is highly correlated with the area-averaged rain rate. To estimate the fractional rainy area, a logistic regression model, which estimates the conditional probability that rain rate over an area exceeds a fixed threshold given the values of related covariates, is developed. The problem of dependency in the data in the estimation procedure is bypassed by the method of partial likelihood. Analyses of simulated scanning multichannel microwave radiometer and observed electrically scanning microwave radiometer data during the Global Atlantic Tropical Experiment period show that the use of logistic regression in pixel classification is superior to multiple regression in predicting whether rain rate at each pixel exceeds a given threshold, even in the presence of noisy data. The potential of the logistic regression technique in satellite rain rate estimation is discussed.
Document ID
19900039522
Document Type
Reprint (Version printed in journal)
Authors
Chiu, Long S.
(Applied Research Corp. Landover, MD, United States)
Kedem, Benjamin
(Maryland, University College Park, United States)
Date Acquired
August 14, 2013
Publication Date
February 28, 1990
Publication Information
Publication: Journal of Geophysical Research
Volume: 95
ISSN: 0148-0227
Subject Category
Meteorology And Climatology
Funding Number(s)
CONTRACT_GRANT: NAS5-30083
Distribution Limits
Public
Copyright
Other
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