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    Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests

    Source: Journal of the Atmospheric Sciences:;2014:;Volume( 072 ):;issue: 001::page 287
    Author:
    Morrison, Hugh
    ,
    Milbrandt, Jason A.
    DOI: 10.1175/JAS-D-14-0065.1
    Publisher: American Meteorological Society
    Abstract: method for the parameterization of ice-phase microphysics is proposed and used to develop a new bulk microphysics scheme. All ice-phase particles are represented by several physical properties that evolve freely in time and space. The scheme prognoses four ice mixing ratio variables, total mass, rime mass, rime volume, and number, allowing 4 degrees of freedom for representing the particle properties using a single category. This approach represents a significant departure from traditional microphysics schemes in which ice-phase hydrometeors are partitioned into various predefined categories (e.g., cloud ice, snow, and graupel) with prescribed characteristics. The liquid-phase component of the new scheme uses a standard two-moment, two-category approach.The proposed method and a complete description of the new predicted particle properties (P3) scheme are provided. Results from idealized model simulations of a two-dimensional squall line are presented that illustrate overall behavior of the scheme. Despite its use of a single ice-phase category, the scheme simulates a realistically wide range of particle characteristics in different regions of the squall line, consistent with observed ice particles in real squall lines. Sensitivity tests show that both the prediction of the rime mass fraction and the rime density are important for the simulation of the squall-line structure and precipitation.
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      Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4219566
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    contributor authorMorrison, Hugh
    contributor authorMilbrandt, Jason A.
    date accessioned2017-06-09T16:57:29Z
    date available2017-06-09T16:57:29Z
    date copyright2015/01/01
    date issued2014
    identifier issn0022-4928
    identifier otherams-77051.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4219566
    description abstractmethod for the parameterization of ice-phase microphysics is proposed and used to develop a new bulk microphysics scheme. All ice-phase particles are represented by several physical properties that evolve freely in time and space. The scheme prognoses four ice mixing ratio variables, total mass, rime mass, rime volume, and number, allowing 4 degrees of freedom for representing the particle properties using a single category. This approach represents a significant departure from traditional microphysics schemes in which ice-phase hydrometeors are partitioned into various predefined categories (e.g., cloud ice, snow, and graupel) with prescribed characteristics. The liquid-phase component of the new scheme uses a standard two-moment, two-category approach.The proposed method and a complete description of the new predicted particle properties (P3) scheme are provided. Results from idealized model simulations of a two-dimensional squall line are presented that illustrate overall behavior of the scheme. Despite its use of a single ice-phase category, the scheme simulates a realistically wide range of particle characteristics in different regions of the squall line, consistent with observed ice particles in real squall lines. Sensitivity tests show that both the prediction of the rime mass fraction and the rime density are important for the simulation of the squall-line structure and precipitation.
    publisherAmerican Meteorological Society
    titleParameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests
    typeJournal Paper
    journal volume72
    journal issue1
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-14-0065.1
    journal fristpage287
    journal lastpage311
    treeJournal of the Atmospheric Sciences:;2014:;Volume( 072 ):;issue: 001
    contenttypeFulltext
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