On the Lognormality of Rain Rate

A stochastic regression model is used in modeling rain rate. Under some conditions on the model parameters, it is shown that rain rate is asymptotically logonormal. An application of the model to the GATE (global atmospheric research program, Atlantic tropical experiment) data shows a remarkable agr...

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Veröffentlicht in:Proceedings of the National Academy of Sciences - PNAS 1987-02, Vol.84 (4), p.901-905
Hauptverfasser: Kedem, Benjamin, Long. S. Chiu
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container_title Proceedings of the National Academy of Sciences - PNAS
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Long. S. Chiu
description A stochastic regression model is used in modeling rain rate. Under some conditions on the model parameters, it is shown that rain rate is asymptotically logonormal. An application of the model to the GATE (global atmospheric research program, Atlantic tropical experiment) data shows a remarkable agreement between the assumed and estimated model parameters for rain rate averaged over sufficiently large area and a sampling interval of 15 min.
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subjects Atmospherics
Earth, ocean, space
Exact sciences and technology
External geophysics
Histograms
Least squares
Meteorology
Observational research
Parametric models
Physical Sciences: Applied Mathematical Sciences
Pixels
Radar
Rain
Storms
Time series
Water in the atmosphere (humidity, clouds, evaporation, precipitation)
title On the Lognormality of Rain Rate
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