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    Assessment of Two Stochastic Cloud Subcolumn Generators Using Observed Fields of Vertically Resolved Cloud Extinction

    Source: Journal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 008::page 1229
    Author:
    Lazaros Oreopoulos
    ,
    Nayeong Cho
    ,
    Dongmin Lee
    ,
    Matthew Lebsock
    ,
    Zhibo Zhang
    DOI: 10.1175/JTECH-D-21-0166.1
    Publisher: American Meteorological Society
    Abstract: We evaluate two stochastic subcolumn generators used in GCMs to emulate subgrid cloud variability enabling comparisons with satellite observations and simulations of certain physical processes. Our evaluation necessitated the creation of a reference observational dataset that resolves horizontal and vertical cloud variability. The dataset combines two
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      Assessment of Two Stochastic Cloud Subcolumn Generators Using Observed Fields of Vertically Resolved Cloud Extinction

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4290016
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    contributor authorLazaros Oreopoulos
    contributor authorNayeong Cho
    contributor authorDongmin Lee
    contributor authorMatthew Lebsock
    contributor authorZhibo Zhang
    date accessioned2023-04-12T18:38:49Z
    date available2023-04-12T18:38:49Z
    date copyright2022/08/01
    date issued2022
    identifier otherJTECH-D-21-0166.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290016
    description abstractWe evaluate two stochastic subcolumn generators used in GCMs to emulate subgrid cloud variability enabling comparisons with satellite observations and simulations of certain physical processes. Our evaluation necessitated the creation of a reference observational dataset that resolves horizontal and vertical cloud variability. The dataset combines two
    publisherAmerican Meteorological Society
    titleAssessment of Two Stochastic Cloud Subcolumn Generators Using Observed Fields of Vertically Resolved Cloud Extinction
    typeJournal Paper
    journal volume39
    journal issue8
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-21-0166.1
    journal fristpage1229
    journal lastpage1244
    page1229–1244
    treeJournal of Atmospheric and Oceanic Technology:;2022:;volume( 039 ):;issue: 008
    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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