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    QUANTITATIVE DETERMINATION OF LONG WAVES AND THEIR TIME VARIATIONS

    Source: Journal of Meteorology:;1955:;volume( 012 ):;issue: 006::page 536
    Author:
    Wolff, Paul M.
    DOI: 10.1175/1520-0469(1955)012<0536:QDOLWA>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A method of space averaging is presented for separating long and short waves in the 500-mb geostrophic flow. The long-wave features are further identified as perturbations. Some of the forecasting characteristics noted in the application of these computations to six years of historical and one year of current hemispheric 500-mb charts are included.
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      QUANTITATIVE DETERMINATION OF LONG WAVES AND THEIR TIME VARIATIONS

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4149751
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    contributor authorWolff, Paul M.
    date accessioned2017-06-09T14:11:20Z
    date available2017-06-09T14:11:20Z
    date copyright1955/12/01
    date issued1955
    identifier issn0095-9634
    identifier otherams-14214.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4149751
    description abstractA method of space averaging is presented for separating long and short waves in the 500-mb geostrophic flow. The long-wave features are further identified as perturbations. Some of the forecasting characteristics noted in the application of these computations to six years of historical and one year of current hemispheric 500-mb charts are included.
    publisherAmerican Meteorological Society
    titleQUANTITATIVE DETERMINATION OF LONG WAVES AND THEIR TIME VARIATIONS
    typeJournal Paper
    journal volume12
    journal issue6
    journal titleJournal of Meteorology
    identifier doi10.1175/1520-0469(1955)012<0536:QDOLWA>2.0.CO;2
    journal fristpage536
    journal lastpage541
    treeJournal of Meteorology:;1955:;volume( 012 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian