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    The Effect of Ice Nuclei Efficiency on Arctic Mixed-Phase Clouds from Large-Eddy Simulations

    Source: Journal of the Atmospheric Sciences:;2017:;Volume( 074 ):;issue: 012::page 3901
    Author:
    Fu, Shizuo;Xue, Huiwen
    DOI: 10.1175/JAS-D-17-0112.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe effects of ice nuclei (IN) efficiency on the persistent ice formation in Arctic mixed-phase clouds (AMCs) are investigated using a large-eddy simulation model, coupled to a bin microphysics scheme with a prognostic IN formulation. In the three cases where the IN efficiency is high, ice formation and IN depletion are fast. When the IN concentration is 1 and 10 g?1, IN are completely depleted and the cloud becomes purely liquid phase before the end of the 24-h simulation. When the IN concentration is 100 g?1, the IN supply is sufficient but the liquid water is completely consumed so that the cloud dissipates quickly. In the three cases when the IN efficiency is low, ice formation is negligible in the first several hours but becomes significant as the temperature is decreased through longwave cooling. Before the end of the simulation, the cloud is in mixed phase when the IN concentration is 1 and 10 g?1 but dissipates when the IN concentration is 100 g?1. In the case where two types of IN are considered, ice formation persists throughout the simulation. Analysis shows that as the more efficient IN are continuously removed through ice formation, the less efficient IN gradually nucleate more ice crystals because the longwave cooling decreases the cloud temperature. This mechanism is further illustrated with a simple model. These results indicate that a spectrum of IN efficiency is necessary to maintain the persistent ice formation in AMCs.
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      The Effect of Ice Nuclei Efficiency on Arctic Mixed-Phase Clouds from Large-Eddy Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246518
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    contributor authorFu, Shizuo;Xue, Huiwen
    date accessioned2018-01-03T11:02:48Z
    date available2018-01-03T11:02:48Z
    date copyright9/26/2017 12:00:00 AM
    date issued2017
    identifier otherjas-d-17-0112.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246518
    description abstractAbstractThe effects of ice nuclei (IN) efficiency on the persistent ice formation in Arctic mixed-phase clouds (AMCs) are investigated using a large-eddy simulation model, coupled to a bin microphysics scheme with a prognostic IN formulation. In the three cases where the IN efficiency is high, ice formation and IN depletion are fast. When the IN concentration is 1 and 10 g?1, IN are completely depleted and the cloud becomes purely liquid phase before the end of the 24-h simulation. When the IN concentration is 100 g?1, the IN supply is sufficient but the liquid water is completely consumed so that the cloud dissipates quickly. In the three cases when the IN efficiency is low, ice formation is negligible in the first several hours but becomes significant as the temperature is decreased through longwave cooling. Before the end of the simulation, the cloud is in mixed phase when the IN concentration is 1 and 10 g?1 but dissipates when the IN concentration is 100 g?1. In the case where two types of IN are considered, ice formation persists throughout the simulation. Analysis shows that as the more efficient IN are continuously removed through ice formation, the less efficient IN gradually nucleate more ice crystals because the longwave cooling decreases the cloud temperature. This mechanism is further illustrated with a simple model. These results indicate that a spectrum of IN efficiency is necessary to maintain the persistent ice formation in AMCs.
    publisherAmerican Meteorological Society
    titleThe Effect of Ice Nuclei Efficiency on Arctic Mixed-Phase Clouds from Large-Eddy Simulations
    typeJournal Paper
    journal volume74
    journal issue12
    journal titleJournal of the Atmospheric Sciences
    identifier doi10.1175/JAS-D-17-0112.1
    journal fristpage3901
    journal lastpage3913
    treeJournal of the Atmospheric Sciences:;2017:;Volume( 074 ):;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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