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    Spectral Analysis and Linear Prediction of Meteorological Time Series

    Source: Journal of Applied Meteorology:;1964:;volume( 003 ):;issue: 001::page 45
    Author:
    Jones, Richard H.
    DOI: 10.1175/1520-0450(1964)003<0045:SAALPO>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: A method of estimating the spectral density of the nondeterministic component of a meteorological time series which is uncontaminated by the periodic mean variations is presented. This method does not require knowledge of the mean variations. The estimated spectrum is used to calculate the Wiener-Kolmogoroff prediction constants and to estimate the linear predictability of the series. Examples are given using meteorological and artificially generated time series.
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      Spectral Analysis and Linear Prediction of Meteorological Time Series

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4212190
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    contributor authorJones, Richard H.
    date accessioned2017-06-09T16:34:58Z
    date available2017-06-09T16:34:58Z
    date copyright1964/02/01
    date issued1964
    identifier issn0021-8952
    identifier otherams-7041.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4212190
    description abstractA method of estimating the spectral density of the nondeterministic component of a meteorological time series which is uncontaminated by the periodic mean variations is presented. This method does not require knowledge of the mean variations. The estimated spectrum is used to calculate the Wiener-Kolmogoroff prediction constants and to estimate the linear predictability of the series. Examples are given using meteorological and artificially generated time series.
    publisherAmerican Meteorological Society
    titleSpectral Analysis and Linear Prediction of Meteorological Time Series
    typeJournal Paper
    journal volume3
    journal issue1
    journal titleJournal of Applied Meteorology
    identifier doi10.1175/1520-0450(1964)003<0045:SAALPO>2.0.CO;2
    journal fristpage45
    journal lastpage52
    treeJournal of Applied Meteorology:;1964:;volume( 003 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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