YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • AMS
    • Journal of Climate
    • View Item
    •   YE&T Library
    • AMS
    • Journal of Climate
    • 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

    Uncertainty in Ranking the Hottest Years of U.S. Surface Temperatures

    Source: Journal of Climate:;2013:;volume( 026 ):;issue: 017::page 6323
    Author:
    Guttorp, Peter
    ,
    Kim, Tae Yen
    DOI: 10.1175/JCLI-D-12-00760.1
    Publisher: American Meteorological Society
    Abstract: anking years based on statistical estimates of regional and temporal averages is subject to uncertainty. This uncertainty can in fact be quite substantial and can be described by the rank distribution of an ensemble of such averages. The authors develop a method for estimating it using simulation. The effect of temporal correlation is quite limited in the case studied in this paper: the contiguous United States' annual-mean temperature. The method also allows assessment of derived quantities such as the probability of a given year being one of the 10 warmest in the historical record.
    • Download: (3.716Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Uncertainty in Ranking the Hottest Years of U.S. Surface Temperatures

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4222671
    Collections
    • Journal of Climate

    Show full item record

    contributor authorGuttorp, Peter
    contributor authorKim, Tae Yen
    date accessioned2017-06-09T17:07:52Z
    date available2017-06-09T17:07:52Z
    date copyright2013/09/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-79846.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222671
    description abstractanking years based on statistical estimates of regional and temporal averages is subject to uncertainty. This uncertainty can in fact be quite substantial and can be described by the rank distribution of an ensemble of such averages. The authors develop a method for estimating it using simulation. The effect of temporal correlation is quite limited in the case studied in this paper: the contiguous United States' annual-mean temperature. The method also allows assessment of derived quantities such as the probability of a given year being one of the 10 warmest in the historical record.
    publisherAmerican Meteorological Society
    titleUncertainty in Ranking the Hottest Years of U.S. Surface Temperatures
    typeJournal Paper
    journal volume26
    journal issue17
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-12-00760.1
    journal fristpage6323
    journal lastpage6328
    treeJournal of Climate:;2013:;volume( 026 ):;issue: 017
    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