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Areal Coverage Estimates by Stochastic Modelling

Irving I. Gringorten

出版	Air Force Geophysics Laboratories, Air Force Systems Command, United States Air Force, 1976
URL	http://books.google.com.hk/books?id=H_cHxttOYcUC&hl=&source=gbs_api
EBook	FULL_PUBLIC_DOMAIN

註釋

The purpose of this paper is to relate the single-point probability of a meteorological event to the probability of its occurrence along a line or in an area of given size or fraction of the area. To make the problem tractable it was limited to modelling the probability estimates of the minimum or maximum condition along a line or in an area, or of the maximized minimum in a fraction of the area. In the absence of an analytical solution a Monte Carlo technique, applied to a Gaussian variable, was used to obtain answers that are presented graphically. Two models are described, one shown to be effective with macroscale events; the other, and more interesting model, is shown to be effective with the mesoscale phenomena of quantitative precipitation in areas ranging from a few hundred square kilometers to more than 50,000 sq. km. (Author).