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    Interpretation of Factors Controlling Low Cloud Cover and Low Cloud Feedback Using a Unified Predictive Index

    Source: Journal of Climate:;2017:;volume( 030 ):;issue: 022::page 9119
    Author:
    Kawai, Hideaki;Koshiro, Tsuyoshi;Webb, Mark J.
    DOI: 10.1175/JCLI-D-16-0825.1
    Publisher: American Meteorological Society
    Abstract: AbstractThis paper reports on a new index for low cloud cover (LCC), the estimated cloud-top entrainment index (ECTEI), which is a modification of estimated inversion strength (EIS) and takes into account a cloud-top entrainment (CTE) criterion. Shipboard cloud observation data confirm that the index is strongly correlated with LCC. It is argued here that changes in LCC cannot be fully determined from changes in EIS only, but can be better determined from changes in both EIS and sea surface temperature (SST) based on the ECTEI. Furthermore, it is argued that various proposed predictors of LCC change, including the moist static energy vertical gradient, SST, and midlevel clouds, can be better understood from the perspective of the ECTEI.
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      Interpretation of Factors Controlling Low Cloud Cover and Low Cloud Feedback Using a Unified Predictive Index

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4246160
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    contributor authorKawai, Hideaki;Koshiro, Tsuyoshi;Webb, Mark J.
    date accessioned2018-01-03T11:01:21Z
    date available2018-01-03T11:01:21Z
    date copyright8/21/2017 12:00:00 AM
    date issued2017
    identifier otherjcli-d-16-0825.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246160
    description abstractAbstractThis paper reports on a new index for low cloud cover (LCC), the estimated cloud-top entrainment index (ECTEI), which is a modification of estimated inversion strength (EIS) and takes into account a cloud-top entrainment (CTE) criterion. Shipboard cloud observation data confirm that the index is strongly correlated with LCC. It is argued here that changes in LCC cannot be fully determined from changes in EIS only, but can be better determined from changes in both EIS and sea surface temperature (SST) based on the ECTEI. Furthermore, it is argued that various proposed predictors of LCC change, including the moist static energy vertical gradient, SST, and midlevel clouds, can be better understood from the perspective of the ECTEI.
    publisherAmerican Meteorological Society
    titleInterpretation of Factors Controlling Low Cloud Cover and Low Cloud Feedback Using a Unified Predictive Index
    typeJournal Paper
    journal volume30
    journal issue22
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-16-0825.1
    journal fristpage9119
    journal lastpage9131
    treeJournal of Climate:;2017:;volume( 030 ):;issue: 022
    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
    yabeshDSpacePersian