YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Applied Meteorology
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A Stochastic Model for Wind Occurrence

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 005::page 740
    Author:
    Roldan-Cañas, Jose
    ,
    Garcia-Guzman, Adela
    ,
    Losada-Villasante, Alberto
    DOI: 10.1175/1520-0450(1982)021<0740:ASMFWO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Knowledge 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.
    • Download: (288.4Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A Stochastic Model for Wind Occurrence

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4145374
    Collections
    • Journal of Applied Meteorology

    Show full item record

    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
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian