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    The Prediction of Supercooled Large Drops by a Microphysics and a Machine Learning Model for the ICICLE Field Campaign

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 007::page 1107
    Author:
    Jensen, Anders A.
    ,
    Weeks, Courtney
    ,
    Xu, Mei
    ,
    Landolt, Scott
    ,
    Korolev, Alexei
    ,
    Wolde, Mengistu
    ,
    DiVito, Stephanie
    DOI: 10.1175/WAF-D-22-0105.1
    Publisher: American Meteorological Society
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      The Prediction of Supercooled Large Drops by a Microphysics and a Machine Learning Model for the ICICLE Field Campaign

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4299682
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    • Weather and Forecasting

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    contributor authorJensen, Anders A.
    contributor authorWeeks, Courtney
    contributor authorXu, Mei
    contributor authorLandolt, Scott
    contributor authorKorolev, Alexei
    contributor authorWolde, Mengistu
    contributor authorDiVito, Stephanie
    date accessioned2024-12-24T13:49:41Z
    date available2024-12-24T13:49:41Z
    date copyright01 Jul. 2023
    date issued2023
    identifier otherwefo-WAF-D-22-0105.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299682
    languageEnglish
    publisherAmerican Meteorological Society
    titleThe Prediction of Supercooled Large Drops by a Microphysics and a Machine Learning Model for the ICICLE Field Campaign
    typeJournal Paper
    journal volume38
    journal issue7
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-22-0105.1
    journal fristpage1107
    journal lastpage1124
    treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 007
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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