| Bivariate Wavelet Analysis of Asia Monsoon and ENSO |
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| 作者姓名： | Lonnie Hudgins Jianping Huang |
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| 作者单位： | Sensor Physics Group, Electronics Systems Division, Northrop Corporation, Hawthorne, CA 90251,Climate System Research Program, Texas AαM University, College Statim, TX 77843-3150 |
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| 摘 要： | This paper employs some recently developed bivariate wavelet analysis techniques to study the correlation between Asia monsoon and E1 Nino southern oscillation (ENSO).Various energy spectral densities are defined for waveiel transforms,analogous to those used in conventional Fourier analysis.Some comparisons are made by applying both wavelet and Fourier spectral methods (o the data.The wavelet analysis shows evidence of some relationship between Asia monsoon and ENSO,which the Fourier analysis resolves poorly.Correlation on several time scales,ranging from 2-4 years,11 years,and 22 years,become apparent with the wavelet cross-spectrum.Finally,the warelet cross-transform provides time localization of the distinctive features within the data record.
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| 收稿时间： | 20 November 1995 |
Bivariate wavelet analysis of Asia monsoon and ENSO |
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| Lonnie Hudgins,Jianping Huang.Bivariate Wavelet Analysis of Asia Monsoon and ENSO[J].Advances in Atmospheric Sciences,1996,13(3):299-312. |
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| Authors: | Lonnie Hudgins Jianping Huang |
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| Institution: | (1) Sensor Physics Group, Electronics Systems Division, Northrop Corporation, 90251 Hawthorne, CA;(2) Climate System Research Program, Texas AαM University, 77843-3150 College Statim, TX |
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| Abstract: | This paper employs some recently developed bivariate wavelet analysis techniques to study the correlation be-tween Asia monsoon and El Nino southern oscillation (ENSO). Various energy spectral densities are defined for wavelet transforms, analogous to those used in conventional Fourier analysis. Some comparisons are made by ap-plying both wavelet and Fourier spectral methods to the data. The wavelet analysis shows evidence of some relation-ship between Asia monsoon and ENSO, which the Fourier analysis resolves poorly. Correlation on several time scales, ranging from 2-4 years, 11 years, and 22 years, become apparent with the wavelet cross-spectrum. Finally, the wavelet cross-transform provides time localization of the distinctive features within the data record. |
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| Keywords: | Wavelet Monsoon ENSO |
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