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    Empirical Orthogonal Function Estimates of Local Predictability

    Source: Journal of Applied Meteorology:;1982:;volume( 021 ):;issue: 002::page 117
    Author:
    Paegle, Julia N.
    ,
    Haslam, Reed B.
    DOI: 10.1175/1520-0450(1982)021<0117:EOFEOL>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: Predictability times are estimated from 500 mb heights resolved for horizontal scales from 5 ? 106 to 8 ? 106 m. These scales are defined through eigenvector analysis of seven years of winter data over a portion of the Northern Hemisphere centered over the western United States. An analysis of variance suggests characteristic times (T0) of 6?12 days for effectively independent heights. A random process is chosen which fits well the frequency spectra of the time-dependent coefficients. The estimates of T0 calculated from this random model are about half of those obtained from the variance analyses. These differences might be due to sampling fluctuations as to the existence of long-period oscillations poorly represented by the random process. Both methods show a decrease in T0 with decreasing horizontal scale.
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      Empirical Orthogonal Function Estimates of Local Predictability

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4145293
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    contributor authorPaegle, Julia N.
    contributor authorHaslam, Reed B.
    date accessioned2017-06-09T13:58:35Z
    date available2017-06-09T13:58:35Z
    date copyright1982/02/01
    date issued1982
    identifier issn0021-8952
    identifier otherams-10201.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4145293
    description abstractPredictability times are estimated from 500 mb heights resolved for horizontal scales from 5 ? 106 to 8 ? 106 m. These scales are defined through eigenvector analysis of seven years of winter data over a portion of the Northern Hemisphere centered over the western United States. An analysis of variance suggests characteristic times (T0) of 6?12 days for effectively independent heights. A random process is chosen which fits well the frequency spectra of the time-dependent coefficients. The estimates of T0 calculated from this random model are about half of those obtained from the variance analyses. These differences might be due to sampling fluctuations as to the existence of long-period oscillations poorly represented by the random process. Both methods show a decrease in T0 with decreasing horizontal scale.
    publisherAmerican Meteorological Society
    titleEmpirical Orthogonal Function Estimates of Local Predictability
    typeJournal Paper
    journal volume21
    journal issue2
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1982)021<0117:EOFEOL>2.0.CO;2
    journal fristpage117
    journal lastpage126
    treeJournal of Applied Meteorology:;1982:;volume( 021 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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