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

    Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 005::page 1829
    Author:
    Castruccio, Stefano
    ,
    McInerney, David J.
    ,
    Stein, Michael L.
    ,
    Liu Crouch, Feifei
    ,
    Jacob, Robert L.
    ,
    Moyer, Elisabeth J.
    DOI: 10.1175/JCLI-D-13-00099.1
    Publisher: American Meteorological Society
    Abstract: he authors describe a new approach for emulating the output of a fully coupled climate model under arbitrary forcing scenarios that is based on a small set of precomputed runs from the model. Temperature and precipitation are expressed as simple functions of the past trajectory of atmospheric CO2 concentrations, and a statistical model is fit using a limited set of training runs. The approach is demonstrated to be a useful and computationally efficient alternative to pattern scaling and captures the nonlinear evolution of spatial patterns of climate anomalies inherent in transient climates. The approach does as well as pattern scaling in all circumstances and substantially better in many; it is not computationally demanding; and, once the statistical model is fit, it produces emulated climate output effectively instantaneously. It may therefore find wide application in climate impacts assessments and other policy analyses requiring rapid climate projections.
    • Download: (3.020Mb)
    • Show Full MetaData Hide Full MetaData
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Statistical Emulation of Climate Model Projections Based on Precomputed GCM Runs

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4222807
    Collections
    • Journal of Climate

    Show full item record

    contributor authorCastruccio, Stefano
    contributor authorMcInerney, David J.
    contributor authorStein, Michael L.
    contributor authorLiu Crouch, Feifei
    contributor authorJacob, Robert L.
    contributor authorMoyer, Elisabeth J.
    date accessioned2017-06-09T17:08:19Z
    date available2017-06-09T17:08:19Z
    date copyright2014/03/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-79969.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222807
    description abstracthe authors describe a new approach for emulating the output of a fully coupled climate model under arbitrary forcing scenarios that is based on a small set of precomputed runs from the model. Temperature and precipitation are expressed as simple functions of the past trajectory of atmospheric CO2 concentrations, and a statistical model is fit using a limited set of training runs. The approach is demonstrated to be a useful and computationally efficient alternative to pattern scaling and captures the nonlinear evolution of spatial patterns of climate anomalies inherent in transient climates. The approach does as well as pattern scaling in all circumstances and substantially better in many; it is not computationally demanding; and, once the statistical model is fit, it produces emulated climate output effectively instantaneously. It may therefore find wide application in climate impacts assessments and other policy analyses requiring rapid climate projections.
    publisherAmerican Meteorological Society
    titleStatistical Emulation of Climate Model Projections Based on Precomputed GCM Runs
    typeJournal Paper
    journal volume27
    journal issue5
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-13-00099.1
    journal fristpage1829
    journal lastpage1844
    treeJournal of Climate:;2013:;volume( 027 ):;issue: 005
    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