YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    •   YE&T Library
    • AMS
    • Monthly Weather Review
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    An Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K-Means Clustering Approach

    Source: Monthly Weather Review:;2022:;volume( 150 ):;issue: 011::page 3103
    Author:
    Neelesh Rampal
    ,
    Andrew Lorrey
    ,
    Nicolas Fauchereau
    DOI: 10.1175/MWR-D-22-0059.1
    Publisher: American Meteorological Society
    Abstract: Weather regimes (WRs), also known as synoptic types, are defined as recurrent patterns that have been used to categorize variability in atmospheric circulation. However, defining the optimal number of patterns can often be arbitrary, and there are common shortcomings when oversimplifying a wide range of synoptic conditions and weather outcomes. We build on previous work that has defined regional WRs and objectively ascribe an optimal number of once-daily weather patterns for Aotearoa New Zealand (ANZ) using affinity propagation combined with
    • Download: (4.574Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      An Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K-Means Clustering Approach

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4290009
    Collections
    • Monthly Weather Review

    Show full item record

    contributor authorNeelesh Rampal
    contributor authorAndrew Lorrey
    contributor authorNicolas Fauchereau
    date accessioned2023-04-12T18:38:39Z
    date available2023-04-12T18:38:39Z
    date copyright2022/11/23
    date issued2022
    identifier otherMWR-D-22-0059.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4290009
    description abstractWeather regimes (WRs), also known as synoptic types, are defined as recurrent patterns that have been used to categorize variability in atmospheric circulation. However, defining the optimal number of patterns can often be arbitrary, and there are common shortcomings when oversimplifying a wide range of synoptic conditions and weather outcomes. We build on previous work that has defined regional WRs and objectively ascribe an optimal number of once-daily weather patterns for Aotearoa New Zealand (ANZ) using affinity propagation combined with
    publisherAmerican Meteorological Society
    titleAn Objective Weather Regime Classification for Aotearoa New Zealand Using a Two-Tiered K-Means Clustering Approach
    typeJournal Paper
    journal volume150
    journal issue11
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-22-0059.1
    journal fristpage3103
    journal lastpage3122
    page3103–3122
    treeMonthly Weather Review:;2022:;volume( 150 ):;issue: 011
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian