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    Hail Growth by Stochastic Collection in a Cumulus Model

    Source: Journal of the Atmospheric Sciences:;1972:;Volume( 029 ):;issue: 001::page 135
    Author:
    Danielsen, E. F.
    ,
    Bleck, R.
    ,
    Morris, D. A.
    DOI: 10.1175/1520-0469(1972)029<0135:HGBSCI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A one-dimensional, time-dependent numerical model of a cumulus cloud is presented that generates hail and radar reflectivities at realistic rates. The distribution of hydrometeors evolves with time as a result of condensation, sublimation, stochastic collection through collision and coalescence, sedimentation, drop freezing, and drop breakup. A total of 40 mass categories, each twice the mass of the former, corresponding to radii from 2.5 ?m to 2 cm, are used to determine the ice and hail distribution. The first 31 categories up to a radius of 2.5 mm are used for the water drop distribution. Radar reflectivities are computed from Mie scattering theory for water and ice spheres in each category, then summed to give the reflectivities that can be compared to those observed by radar. Only the updraft radius at the earth's surface, the mixing coefficients, and the initial droplet distribution at cloud base are arbitrarily specified. Four initial droplet distributions are studied separately to determine their effect on hail growth rates and the water drop and hail distributions.
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      Hail Growth by Stochastic Collection in a Cumulus Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4151843
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    contributor authorDanielsen, E. F.
    contributor authorBleck, R.
    contributor authorMorris, D. A.
    date accessioned2017-06-09T14:16:13Z
    date available2017-06-09T14:16:13Z
    date copyright1972/01/01
    date issued1972
    identifier issn0022-4928
    identifier otherams-16098.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4151843
    description abstractA one-dimensional, time-dependent numerical model of a cumulus cloud is presented that generates hail and radar reflectivities at realistic rates. The distribution of hydrometeors evolves with time as a result of condensation, sublimation, stochastic collection through collision and coalescence, sedimentation, drop freezing, and drop breakup. A total of 40 mass categories, each twice the mass of the former, corresponding to radii from 2.5 ?m to 2 cm, are used to determine the ice and hail distribution. The first 31 categories up to a radius of 2.5 mm are used for the water drop distribution. Radar reflectivities are computed from Mie scattering theory for water and ice spheres in each category, then summed to give the reflectivities that can be compared to those observed by radar. Only the updraft radius at the earth's surface, the mixing coefficients, and the initial droplet distribution at cloud base are arbitrarily specified. Four initial droplet distributions are studied separately to determine their effect on hail growth rates and the water drop and hail distributions.
    publisherAmerican Meteorological Society
    titleHail Growth by Stochastic Collection in a Cumulus Model
    typeJournal Paper
    journal volume29
    journal issue1
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1972)029<0135:HGBSCI>2.0.CO;2
    journal fristpage135
    journal lastpage155
    treeJournal of the Atmospheric Sciences:;1972:;Volume( 029 ):;issue: 001
    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