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    The “Shukla–Gutzler” Method for Estimating Potential Seasonal Predictability

    Source: Monthly Weather Review:;2012:;volume( 141 ):;issue: 002::page 822
    Author:
    DelSole, Timothy
    ,
    Feng, Xia
    DOI: 10.1175/MWR-D-12-00007.1
    Publisher: American Meteorological Society
    Abstract: his paper reexamines a procedure proposed by Shukla and Gutzler for estimating potential seasonal predictability. Certain subtle and unverified assumptions required for the method to work are clarified, and Monte Carlo experiments are used to demonstrate that these assumptions are adequate even for autocorrelated processes in typical applications, provided the effective time scale T0 of the stochastic process is known. This paper highlights the fact that the time scale T0 is difficult to estimate reliably (as noted in other papers) and can be biased by an order of magnitude. This bias can seriously compromise the reliability of the Shukla?Gutzler method.
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      The “Shukla–Gutzler” Method for Estimating Potential Seasonal Predictability

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4229865
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    contributor authorDelSole, Timothy
    contributor authorFeng, Xia
    date accessioned2017-06-09T17:30:02Z
    date available2017-06-09T17:30:02Z
    date copyright2013/02/01
    date issued2012
    identifier issn0027-0644
    identifier otherams-86320.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4229865
    description abstracthis paper reexamines a procedure proposed by Shukla and Gutzler for estimating potential seasonal predictability. Certain subtle and unverified assumptions required for the method to work are clarified, and Monte Carlo experiments are used to demonstrate that these assumptions are adequate even for autocorrelated processes in typical applications, provided the effective time scale T0 of the stochastic process is known. This paper highlights the fact that the time scale T0 is difficult to estimate reliably (as noted in other papers) and can be biased by an order of magnitude. This bias can seriously compromise the reliability of the Shukla?Gutzler method.
    publisherAmerican Meteorological Society
    titleThe “Shukla–Gutzler” Method for Estimating Potential Seasonal Predictability
    typeJournal Paper
    journal volume141
    journal issue2
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-12-00007.1
    journal fristpage822
    journal lastpage831
    treeMonthly Weather Review:;2012:;volume( 141 ):;issue: 002
    contenttypeFulltext
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