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    Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

    Source: Journal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006::page 947
    Author:
    Rahimi, Reyhaneh
    ,
    Ravirathinam, Praveen
    ,
    Ebtehaj, Ardeshir
    ,
    Behrangi, Ali
    ,
    Tan, Jackson
    ,
    Kumar, Vipin
    DOI: 10.1175/JHM-D-23-0119.1
    Publisher: American Meteorological Society
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      Global Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4301792
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    contributor authorRahimi, Reyhaneh
    contributor authorRavirathinam, Praveen
    contributor authorEbtehaj, Ardeshir
    contributor authorBehrangi, Ali
    contributor authorTan, Jackson
    contributor authorKumar, Vipin
    date accessioned2024-12-24T15:04:54Z
    date available2024-12-24T15:04:54Z
    date copyright01 Jun. 2024
    date issued2024
    identifier otherhydr-JHM-D-23-0119.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4301792
    languageEnglish
    publisherAmerican Meteorological Society
    titleGlobal Precipitation Nowcasting of Integrated Multi-satellitE Retrievals for GPM: A U-Net Convolutional LSTM Architecture
    typeJournal Paper
    journal volume25
    journal issue6
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-23-0119.1
    journal fristpage947
    journal lastpage963
    treeJournal of Hydrometeorology:;2024:;volume( 025 ):;issue: 006
    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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