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    An Automated Python Algorithm to Quantify ZDR Arc and KDP–ZDR Separation Signatures in Supercells

    Source: Journal of Atmospheric and Oceanic Technology:;2021:;volume( 038 ):;issue: 002::page 371
    Author:
    Wilson, Matthew B.;Van Den Broeke, Matthew S.
    DOI: 10.1175/JTECH-D-20-0056.1
    Publisher: American Meteorological Society
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      An Automated Python Algorithm to Quantify ZDR Arc and KDP–ZDR Separation Signatures in Supercells

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4280163
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    contributor authorWilson, Matthew B.;Van Den Broeke, Matthew S.
    date accessioned2022-03-26T19:30:13Z
    date available2022-03-26T19:30:13Z
    date copyright01 Feb. 2021
    date issued2021
    identifier otherJTECH-D-20-0056.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4280163
    publisherAmerican Meteorological Society
    titleAn Automated Python Algorithm to Quantify ZDR Arc and KDP–ZDR Separation Signatures in Supercells
    typeJournal Paper
    journal volume38
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-20-0056.1
    journal fristpage371
    journal lastpage386
    treeJournal of Atmospheric and Oceanic Technology:;2021:;volume( 038 ):;issue: 002
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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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