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    A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
    Author:
    Payami, Mahsa
    ,
    Choi, Yunsoo
    ,
    Salman, Ahmed Khan
    ,
    Mousavinezhad, Seyedali
    ,
    Park, Jincheol
    ,
    Pouyaei, Arman
    DOI: 10.1175/AIES-D-23-0055.1
    Publisher: American Meteorological Society
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      A 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4302270
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    contributor authorPayami, Mahsa
    contributor authorChoi, Yunsoo
    contributor authorSalman, Ahmed Khan
    contributor authorMousavinezhad, Seyedali
    contributor authorPark, Jincheol
    contributor authorPouyaei, Arman
    date accessioned2024-12-24T15:23:25Z
    date available2024-12-24T15:23:25Z
    date copyright01 Apr. 2024
    date issued2024
    identifier otheraies-AIES-D-23-0055.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4302270
    languageEnglish
    publisherAmerican Meteorological Society
    titleA 1D CNN-Based Emulator of CMAQ: Predicting NO2 Concentration over the Most Populated Urban Regions in Texas
    typeJournal Paper
    journal volume3
    journal issue2
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0055.1
    journal lastpagee230055
    treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
    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