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
Format:	Artikel
Sprache:	eng
Schlagworte:	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)
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Beschreibung
Zusammenfassung:	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.
ISSN:	0027-8424 1091-6490
DOI:	10.1073/pnas.84.4.901