On the lognormality of rain rate | Zendy

Benjamin Kedem | Zendy; Long S. Chiu | Zendy

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On the lognormality of rain rate

Author(s) -

Benjamin Kedem,

Long S. Chiu

Publication year - 1987

Publication title -

proceedings of the national academy of sciences

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.011

H-Index - 771

eISSN - 1091-6490

pISSN - 0027-8424

DOI - 10.1073/pnas.84.4.901

Subject(s) - rain rate , log normal distribution , environmental science , atmospheric sciences , meteorology , sampling (signal processing) , regression analysis , interval (graph theory) , acid rain , regression , rainforest , mathematics , statistics , climatology , ecology , biology , geology , geography , precipitation , computer science , combinatorics , filter (signal processing) , computer vision

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 lognormal. 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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