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    An Impact Study of GNSS RO Data on the Prediction of Typhoon Nepartak (2016) Using a Multiresolution Global Model with 3D-Hybrid Data Assimilation

    Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 003::page 957
    Author:
    Chen, Shu-Ya;Shih, Cheng-Peng;Huang, Ching-Yuang;Teng, Wen-Hsin
    DOI: 10.1175/WAF-D-20-0175.1
    Publisher: American Meteorological Society
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      An Impact Study of GNSS RO Data on the Prediction of Typhoon Nepartak (2016) Using a Multiresolution Global Model with 3D-Hybrid Data Assimilation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4280625
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    contributor authorChen, Shu-Ya;Shih, Cheng-Peng;Huang, Ching-Yuang;Teng, Wen-Hsin
    date accessioned2022-03-26T19:48:53Z
    date available2022-03-26T19:48:53Z
    date copyright01 Jun. 2021
    date issued2021
    identifier otherWAF-D-20-0175.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280625
    publisherAmerican Meteorological Society
    titleAn Impact Study of GNSS RO Data on the Prediction of Typhoon Nepartak (2016) Using a Multiresolution Global Model with 3D-Hybrid Data Assimilation
    typeJournal Paper
    journal volume36
    journal issue3
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-20-0175.1
    journal fristpage957
    journal lastpage977
    treeWeather and Forecasting:;2021:;volume( 036 ):;issue: 003
    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