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    Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations

    Source: Journal of the Atmospheric Sciences:;2014:;Volume( 071 ):;issue: 010::page 3613
    Author:
    Zhang, Damao
    ,
    Wang, Zhien
    ,
    Heymsfield, Andrew
    ,
    Fan, Jiwen
    ,
    Luo, Tao
    DOI: 10.1175/JAS-D-13-0354.1
    Publisher: American Meteorological Society
    Abstract: easurements of ice number concentration in clouds are important but still pose problems. The pattern of ice development in stratiform mixed-phase clouds (SMCs) offers an opportunity to use cloud radar reflectivity (Ze) measurements and other cloud properties to retrieve ice number concentrations. To quantify the strong temperature dependencies of ice crystal habits and growth rates, a one-dimensional (1D) ice growth model has been developed to calculate ice diffusional growth and riming growth along ice particle fallout trajectories in SMCs. The radar reflectivity and fallout velocity profiles of ice crystals calculated from the 1D ice growth model are evaluated with the Atmospheric Radiation Measurements (ARM) Climate Research Facility (ACRF) ground-based high-vertical-resolution radar measurements. A method has been developed to retrieve ice number concentrations in SMCs at a specific cloud-top temperature (CTT) and liquid water path (LWP) by combining Ze measurements and 1D ice growth model simulations. The retrieved ice number concentrations in SMCs are evaluated using integrated airborne in situ and remote sensing measurements and three-dimensional cloud-resolving model simulations with a bin microphysical scheme. The statistical evaluations show that the retrieved ice number concentrations in the SMCs are within an uncertainty of a factor of 2.
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      Ice Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4219427
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    contributor authorZhang, Damao
    contributor authorWang, Zhien
    contributor authorHeymsfield, Andrew
    contributor authorFan, Jiwen
    contributor authorLuo, Tao
    date accessioned2017-06-09T16:56:59Z
    date available2017-06-09T16:56:59Z
    date copyright2014/10/01
    date issued2014
    identifier issn0022-4928
    identifier otherams-76926.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4219427
    description abstracteasurements of ice number concentration in clouds are important but still pose problems. The pattern of ice development in stratiform mixed-phase clouds (SMCs) offers an opportunity to use cloud radar reflectivity (Ze) measurements and other cloud properties to retrieve ice number concentrations. To quantify the strong temperature dependencies of ice crystal habits and growth rates, a one-dimensional (1D) ice growth model has been developed to calculate ice diffusional growth and riming growth along ice particle fallout trajectories in SMCs. The radar reflectivity and fallout velocity profiles of ice crystals calculated from the 1D ice growth model are evaluated with the Atmospheric Radiation Measurements (ARM) Climate Research Facility (ACRF) ground-based high-vertical-resolution radar measurements. A method has been developed to retrieve ice number concentrations in SMCs at a specific cloud-top temperature (CTT) and liquid water path (LWP) by combining Ze measurements and 1D ice growth model simulations. The retrieved ice number concentrations in SMCs are evaluated using integrated airborne in situ and remote sensing measurements and three-dimensional cloud-resolving model simulations with a bin microphysical scheme. The statistical evaluations show that the retrieved ice number concentrations in the SMCs are within an uncertainty of a factor of 2.
    publisherAmerican Meteorological Society
    titleIce Concentration Retrieval in Stratiform Mixed-Phase Clouds Using Cloud Radar Reflectivity Measurements and 1D Ice Growth Model Simulations
    typeJournal Paper
    journal volume71
    journal issue10
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-13-0354.1
    journal fristpage3613
    journal lastpage3635
    treeJournal of the Atmospheric Sciences:;2014:;Volume( 071 ):;issue: 010
    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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