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    Predicting the Intensity of Tropical Cyclones over the Western North Pacific Using a Dual-Branch Spatiotemporal Attention Convolutional Network

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 005::page 807
    Author:
    Tian, Wei
    ,
    Chen, Yuanyuan
    ,
    Song, Ping
    ,
    Xu, Haifeng
    ,
    Wu, Liguang
    ,
    Lim Kam Sian, Kenny Thiam Choy
    ,
    Zhang, Yonghong
    ,
    Xiang, Chunyi
    DOI: 10.1175/WAF-D-23-0191.1
    Publisher: American Meteorological Society
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      Predicting the Intensity of Tropical Cyclones over the Western North Pacific Using a Dual-Branch Spatiotemporal Attention Convolutional Network

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4299915
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    • Weather and Forecasting

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    contributor authorTian, Wei
    contributor authorChen, Yuanyuan
    contributor authorSong, Ping
    contributor authorXu, Haifeng
    contributor authorWu, Liguang
    contributor authorLim Kam Sian, Kenny Thiam Choy
    contributor authorZhang, Yonghong
    contributor authorXiang, Chunyi
    date accessioned2024-12-24T13:57:54Z
    date available2024-12-24T13:57:54Z
    date copyright01 May. 2024
    date issued2024
    identifier otherwefo-WAF-D-23-0191.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299915
    languageEnglish
    publisherAmerican Meteorological Society
    titlePredicting the Intensity of Tropical Cyclones over the Western North Pacific Using a Dual-Branch Spatiotemporal Attention Convolutional Network
    typeJournal Paper
    journal volume39
    journal issue5
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-23-0191.1
    journal fristpage807
    journal lastpage819
    treeWeather and Forecasting:;2024:;volume( 039 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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