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    Evolution of Snow-Size Spectra in Cyclonic Storms. Part I: Snow Growth by Vapor Deposition and Aggregation

    Source: Journal of the Atmospheric Sciences:;1988:;Volume( 045 ):;issue: 022::page 3431
    Author:
    Mitchell, David L.
    DOI: 10.1175/1520-0469(1988)045<3431:EOSSSI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Based on the stochastic collection equation, height- and time-dependent snow growth models were developed for unrimed stratiform snowfall. Moment conservation equations were parameterized and solved by constraining the size distribution to be of the form N(D)dD = N0 exp(?&lambdaD)dD, yielding expressions for the slope parameter, ?, and the y-intercept parameters, NO, as functions of height or time. The processes of vapor deposition and aggregation were treated analytically without neglecting changes in ice crystal habits, while the ice particle breakup process was dealt with empirically. The models were compared against vertical profiles of snow-size spectra, obtained from aircraft measurements, for three case studies. The predicted spectra are in good agreement with the observed evolution of snow-size spectra in all three cases, indicating the proposed scheme for ice particle aggregation was successful. The temperature dependence of aggregation was assumed to result from differences in ice crystal habit. Using data from an earlier study, the aggregation efficiency between two levels in a cloud was calculated. Finally, other height-dependent, steady-state snowfall models in the literature were compared against spectra from one of the above case studies. The agreement between the predicted and observed spectra regarding these models was less favorable than was obtained from the models presented here.
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      Evolution of Snow-Size Spectra in Cyclonic Storms. Part I: Snow Growth by Vapor Deposition and Aggregation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4156108
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    contributor authorMitchell, David L.
    date accessioned2017-06-09T14:28:35Z
    date available2017-06-09T14:28:35Z
    date copyright1988/11/01
    date issued1988
    identifier issn0022-4928
    identifier otherams-19937.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4156108
    description abstractBased on the stochastic collection equation, height- and time-dependent snow growth models were developed for unrimed stratiform snowfall. Moment conservation equations were parameterized and solved by constraining the size distribution to be of the form N(D)dD = N0 exp(?&lambdaD)dD, yielding expressions for the slope parameter, ?, and the y-intercept parameters, NO, as functions of height or time. The processes of vapor deposition and aggregation were treated analytically without neglecting changes in ice crystal habits, while the ice particle breakup process was dealt with empirically. The models were compared against vertical profiles of snow-size spectra, obtained from aircraft measurements, for three case studies. The predicted spectra are in good agreement with the observed evolution of snow-size spectra in all three cases, indicating the proposed scheme for ice particle aggregation was successful. The temperature dependence of aggregation was assumed to result from differences in ice crystal habit. Using data from an earlier study, the aggregation efficiency between two levels in a cloud was calculated. Finally, other height-dependent, steady-state snowfall models in the literature were compared against spectra from one of the above case studies. The agreement between the predicted and observed spectra regarding these models was less favorable than was obtained from the models presented here.
    publisherAmerican Meteorological Society
    titleEvolution of Snow-Size Spectra in Cyclonic Storms. Part I: Snow Growth by Vapor Deposition and Aggregation
    typeJournal Paper
    journal volume45
    journal issue22
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1988)045<3431:EOSSSI>2.0.CO;2
    journal fristpage3431
    journal lastpage3451
    treeJournal of the Atmospheric Sciences:;1988:;Volume( 045 ):;issue: 022
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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