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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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