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    Improving Polarimetric Radar-Based Drop Size Distribution Retrieval and Rain Estimation Using a Deep Neural Network

    Source: Journal of Hydrometeorology:;2023:;volume( 024 ):;issue: 011::page 2057
    Author:
    Ho, Junho
    ,
    Zhang, Guifu
    ,
    Bukovcic, Petar
    ,
    Parsons, David B.
    ,
    Xu, Feng
    ,
    Gao, Jidong
    ,
    Carlin, Jacob T.
    ,
    Snyder, Jeffrey C.
    DOI: 10.1175/JHM-D-22-0166.1
    Publisher: American Meteorological Society
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      Improving Polarimetric Radar-Based Drop Size Distribution Retrieval and Rain Estimation Using a Deep Neural Network

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4300867
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    contributor authorHo, Junho
    contributor authorZhang, Guifu
    contributor authorBukovcic, Petar
    contributor authorParsons, David B.
    contributor authorXu, Feng
    contributor authorGao, Jidong
    contributor authorCarlin, Jacob T.
    contributor authorSnyder, Jeffrey C.
    date accessioned2024-12-24T14:30:34Z
    date available2024-12-24T14:30:34Z
    date copyright01 Nov. 2023
    date issued2023
    identifier otherhydr-JHM-D-22-0166.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4300867
    languageEnglish
    publisherAmerican Meteorological Society
    titleImproving Polarimetric Radar-Based Drop Size Distribution Retrieval and Rain Estimation Using a Deep Neural Network
    typeJournal Paper
    journal volume24
    journal issue11
    journal titleJournal of Hydrometeorology
    identifier doi10.1175/JHM-D-22-0166.1
    journal fristpage2057
    journal lastpage2073
    treeJournal of Hydrometeorology:;2023:;volume( 024 ):;issue: 011
    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