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

    Potentially Predictable Components of African Summer Rainfall in an SST-Forced GCM Simulation

    Source: Journal of Climate:;2006:;volume( 019 ):;issue: 013::page 3133
    Author:
    Tippett, Michael K.
    ,
    Giannini, Alessandra
    DOI: 10.1175/JCLI3779.1
    Publisher: American Meteorological Society
    Abstract: An ensemble of general circulation model (GCM) integrations forced by observed sea surface temperature (SST) represents the climate response to SST forcing as well as internal variability or ?noise.? Signal-to-noise analysis is used to identify the most reproducible GCM patterns of African summer precipitation related to the SST forcing. Two of these potentially predictable components are associated with the precipitation of the Guinea Coast and Sahel regions and correlate well with observations. The GCM predictable component associated with rainfall in the Sahel region reproduces observed temporal variability on both interannual and decadal time scales, though with reduced amplitude.
    • Download: (974.2Kb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Potentially Predictable Components of African Summer Rainfall in an SST-Forced GCM Simulation

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4220895
    Collections
    • Journal of Climate

    Show full item record

    contributor authorTippett, Michael K.
    contributor authorGiannini, Alessandra
    date accessioned2017-06-09T17:01:59Z
    date available2017-06-09T17:01:59Z
    date copyright2006/07/01
    date issued2006
    identifier issn0894-8755
    identifier otherams-78247.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4220895
    description abstractAn ensemble of general circulation model (GCM) integrations forced by observed sea surface temperature (SST) represents the climate response to SST forcing as well as internal variability or ?noise.? Signal-to-noise analysis is used to identify the most reproducible GCM patterns of African summer precipitation related to the SST forcing. Two of these potentially predictable components are associated with the precipitation of the Guinea Coast and Sahel regions and correlate well with observations. The GCM predictable component associated with rainfall in the Sahel region reproduces observed temporal variability on both interannual and decadal time scales, though with reduced amplitude.
    publisherAmerican Meteorological Society
    titlePotentially Predictable Components of African Summer Rainfall in an SST-Forced GCM Simulation
    typeJournal Paper
    journal volume19
    journal issue13
    journal titleJournal of Climate
    identifier doi10.1175/JCLI3779.1
    journal fristpage3133
    journal lastpage3144
    treeJournal of Climate:;2006:;volume( 019 ):;issue: 013
    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