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    Statistical Modeling of Monthly and Seasonal Michigan Snowfall Based on Machine Learning: A Multiscale Approach

    Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
    Author:
    Meng, Lei
    ,
    Zhu, Laiyin
    DOI: 10.1175/AIES-D-23-0016.1
    Publisher: American Meteorological Society
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      Statistical Modeling of Monthly and Seasonal Michigan Snowfall Based on Machine Learning: A Multiscale Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4301893
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    contributor authorMeng, Lei
    contributor authorZhu, Laiyin
    date accessioned2024-12-24T15:09:08Z
    date available2024-12-24T15:09:08Z
    date copyright01 Oct. 2023
    date issued2023
    identifier otheraies-AIES-D-23-0016.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301893
    languageEnglish
    publisherAmerican Meteorological Society
    titleStatistical Modeling of Monthly and Seasonal Michigan Snowfall Based on Machine Learning: A Multiscale Approach
    typeJournal Paper
    journal volume2
    journal issue4
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0016.1
    journal lastpagee230016
    treeArtificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 004
    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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