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    Toward Operational Real-Time Identification of Frontal Boundaries Using Machine Learning

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003
    Author:
    Justin, Andrew D.
    ,
    Willingham, Colin
    ,
    McGovern, Amy
    ,
    Allen, John T.
    DOI: 10.1175/AIES-D-22-0052.1
    Publisher: American Meteorological Society
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      Toward Operational Real-Time Identification of Frontal Boundaries Using Machine Learning

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4301222
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    contributor authorJustin, Andrew D.
    contributor authorWillingham, Colin
    contributor authorMcGovern, Amy
    contributor authorAllen, John T.
    date accessioned2024-12-24T14:43:21Z
    date available2024-12-24T14:43:21Z
    date copyright01 Jul. 2023
    date issued2023
    identifier otheraies-AIES-D-22-0052.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301222
    languageEnglish
    publisherAmerican Meteorological Society
    titleToward Operational Real-Time Identification of Frontal Boundaries Using Machine Learning
    typeJournal Paper
    journal volume2
    journal issue3
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-22-0052.1
    journal lastpagee220052
    treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003
    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