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    Comment on “Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue”

    Source: Journal of Climate:;2013:;volume( 027 ):;issue: 004::page 1819
    Author:
    Bürger, Gerd
    DOI: 10.1175/JCLI-D-13-00184.1
    Publisher: American Meteorological Society
    Abstract: n a recent paper, Maraun describes the adverse effects of quantile mapping on downscaling. He argues that when large-scale GCM variables are rescaled directly to small-scale fields or even station data, genuine small-scale covariability is lost and replaced by uniform variability inherited from the larger scales. This leads to a misrepresentation mainly of areal means and long-term trends. This comment acknowledges the former point, although the argument is relatively old, but disagrees with the latter, showing that grid-size long-term trends can be different from local trends. Finally, because it is partly incorrectly addressed, some clarification is added regarding the inflation issue, stressing that neither randomization nor inflation is free of unverified assumptions.
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      Comment on “Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue”

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    contributor authorBürger, Gerd
    date accessioned2017-06-09T17:08:29Z
    date available2017-06-09T17:08:29Z
    date copyright2014/02/01
    date issued2013
    identifier issn0894-8755
    identifier otherams-80020.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4222866
    description abstractn a recent paper, Maraun describes the adverse effects of quantile mapping on downscaling. He argues that when large-scale GCM variables are rescaled directly to small-scale fields or even station data, genuine small-scale covariability is lost and replaced by uniform variability inherited from the larger scales. This leads to a misrepresentation mainly of areal means and long-term trends. This comment acknowledges the former point, although the argument is relatively old, but disagrees with the latter, showing that grid-size long-term trends can be different from local trends. Finally, because it is partly incorrectly addressed, some clarification is added regarding the inflation issue, stressing that neither randomization nor inflation is free of unverified assumptions.
    publisherAmerican Meteorological Society
    titleComment on “Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue”
    typeJournal Paper
    journal volume27
    journal issue4
    journal titleJournal of Climate
    identifier doi10.1175/JCLI-D-13-00184.1
    journal fristpage1819
    journal lastpage1820
    treeJournal of Climate:;2013:;volume( 027 ):;issue: 004
    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