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    Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing

    Source: Bulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 012::page 2391
    Author:
    Lau, K-M.
    ,
    Weng, Hengyi
    DOI: 10.1175/1520-0477(1995)076<2391:CSDUWT>2.0.CO;2
    Publisher: American Meteorological Society
    Abstract: In this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT compared with similar concepts used in music, is also provided. Using an analogy between WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time-frequency localization of climate signals. Examples of WT applied to climate data analysis are demonstrated using analytic signals as well as real climate time series. Results of WT applied to two climate time series?that is, a proxy paleoclimate time series with a 2.5-Myr deep-sea sediment record of δ18O and a 140-yr monthly record of Northern Hemisphere surface temperature?are presented. The former shows the presence of a 40-kyr and a 100-kyr oscillation and an abrupt transition in the oscillation regime at 0.7 Myr before the present, consistent with previous studies. The latter possesses a myriad of oscillatory modes from interannual (2?5 yr), interdecadal (10?12yr, 20?25 yr, and 40?60yr), and century (?180 yr) scales at different periods of the data record. In spite of the large difference in timescales, common features in time-frequency characteristics of these two time series have been identified. These features suggest that the variations of the earth's climate are consistent with those exhibited by a nonlinear dynamical system under external forcings.
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      Climate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing

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    contributor authorLau, K-M.
    contributor authorWeng, Hengyi
    date accessioned2017-06-09T14:41:37Z
    date available2017-06-09T14:41:37Z
    date copyright1995/12/01
    date issued1995
    identifier issn0003-0007
    identifier otherams-24607.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4161298
    description abstractIn this paper, the application of the wavelet transform (WT) to climate time series analyses is introduced. A tutorial description of the basic concept of WT compared with similar concepts used in music, is also provided. Using an analogy between WT representation of a time series and a music score, the authors illustrate the importance of local versus global information in the time-frequency localization of climate signals. Examples of WT applied to climate data analysis are demonstrated using analytic signals as well as real climate time series. Results of WT applied to two climate time series?that is, a proxy paleoclimate time series with a 2.5-Myr deep-sea sediment record of δ18O and a 140-yr monthly record of Northern Hemisphere surface temperature?are presented. The former shows the presence of a 40-kyr and a 100-kyr oscillation and an abrupt transition in the oscillation regime at 0.7 Myr before the present, consistent with previous studies. The latter possesses a myriad of oscillatory modes from interannual (2?5 yr), interdecadal (10?12yr, 20?25 yr, and 40?60yr), and century (?180 yr) scales at different periods of the data record. In spite of the large difference in timescales, common features in time-frequency characteristics of these two time series have been identified. These features suggest that the variations of the earth's climate are consistent with those exhibited by a nonlinear dynamical system under external forcings.
    publisherAmerican Meteorological Society
    titleClimate Signal Detection Using Wavelet Transform: How to Make a Time Series Sing
    typeJournal Paper
    journal volume76
    journal issue12
    journal titleBulletin of the American Meteorological Society
    identifier doi10.1175/1520-0477(1995)076<2391:CSDUWT>2.0.CO;2
    journal fristpage2391
    journal lastpage2402
    treeBulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 012
    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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