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    The Evolution of Raindrop Spectra in Warm-Based Convective Storms as Observed and Numerically Modeled

    Source: Journal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 012::page 2302
    Author:
    Carbone, R. E.
    ,
    Nelson, Loren D.
    DOI: 10.1175/1520-0469(1978)035<2302:TEORSI>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Airborne optical spectrometer measurements of raindrop spectra were performed in Texas together with 10 and 3 cm radar observations. The observations reveal large drop spectra emanating from cloud base with low concentrations of small drops compared to the Marshall and Palmer (1948) distributions. Systematic patterns of exponential spectrum parameters (N0 and ?) are revealed to constitute a ?parametric cycle? in time and space. Drop spectrum form is attributed principally to updraft sorting of smaller drops. Subsequent to updraft sorting, the importance of the collision breakup process with respect to spontaneous breakup appears to be greatly diminished. Recent theoretical studies by Srivastava (1971, 1978) partially support conclusions drawn with respect to the relative importance of spontaneous versus collisional breakup. A one-dimensional, time-dependent numerical model was employed for initial conditions simulating the observations. The resultant spectra emanating from the model were quantitatively similar to the measurements and exhibited temporal evolution consistent with the observed parametric cycle. Implications for estimation of spectral moments such as liquid water content and radar reflectivity factor as well as rainfall rate are discussed briefly.
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      The Evolution of Raindrop Spectra in Warm-Based Convective Storms as Observed and Numerically Modeled

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4153519
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    contributor authorCarbone, R. E.
    contributor authorNelson, Loren D.
    date accessioned2017-06-09T14:20:29Z
    date available2017-06-09T14:20:29Z
    date copyright1978/12/01
    date issued1978
    identifier issn0022-4928
    identifier otherams-17606.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4153519
    description abstractAirborne optical spectrometer measurements of raindrop spectra were performed in Texas together with 10 and 3 cm radar observations. The observations reveal large drop spectra emanating from cloud base with low concentrations of small drops compared to the Marshall and Palmer (1948) distributions. Systematic patterns of exponential spectrum parameters (N0 and ?) are revealed to constitute a ?parametric cycle? in time and space. Drop spectrum form is attributed principally to updraft sorting of smaller drops. Subsequent to updraft sorting, the importance of the collision breakup process with respect to spontaneous breakup appears to be greatly diminished. Recent theoretical studies by Srivastava (1971, 1978) partially support conclusions drawn with respect to the relative importance of spontaneous versus collisional breakup. A one-dimensional, time-dependent numerical model was employed for initial conditions simulating the observations. The resultant spectra emanating from the model were quantitatively similar to the measurements and exhibited temporal evolution consistent with the observed parametric cycle. Implications for estimation of spectral moments such as liquid water content and radar reflectivity factor as well as rainfall rate are discussed briefly.
    publisherAmerican Meteorological Society
    titleThe Evolution of Raindrop Spectra in Warm-Based Convective Storms as Observed and Numerically Modeled
    typeJournal Paper
    journal volume35
    journal issue12
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/1520-0469(1978)035<2302:TEORSI>2.0.CO;2
    journal fristpage2302
    journal lastpage2314
    treeJournal of the Atmospheric Sciences:;1978:;Volume( 035 ):;issue: 012
    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
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