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contributor authorRoldan-Cañas, Jose
contributor authorGarcia-Guzman, Adela
contributor authorLosada-Villasante, Alberto
date accessioned2017-06-09T13:58:47Z
date available2017-06-09T13:58:47Z
date copyright1982/05/01
date issued1982
identifier issn0021-8952
identifier otherams-10275.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145374
description abstractKnowledge of wind occurrence in any location is a valuable input in most agricultural studies. A bivariate stochastic process is proposed here as a model of daily wind occurrence. Two wind variables have been considered: 1) horizontal direction, fitted to a first-order Markov chain; and 2) speed, relative to the given direction, fitted to a gamma distribution. Performance of the model is tested by comparing the statistics of generated and experimentally observed data.
publisherAmerican Meteorological Society
titleA Stochastic Model for Wind Occurrence
typeJournal Paper
journal volume21
journal issue5
journal titleJournal of Applied Meteorology
identifier doi10.1175/1520-0450(1982)021<0740:ASMFWO>2.0.CO;2
journal fristpage740
journal lastpage744
treeJournal of Applied Meteorology:;1982:;volume( 021 ):;issue: 005
contenttypeFulltext


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