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Bivariate Wavelet Analysis of Asia Monsoon and ENSO


doi: 10.1007/BF02656848

  • 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.
  • [1] Xiaofei WU, Jiangyu MAO, 2019: Decadal Changes in Interannual Dependence of the Bay of Bengal Summer Monsoon Onset on ENSO Modulated by the Pacific Decadal Oscillation, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1404-1416.  doi: 10.1007/s00376-019-9043-8
    [2] FENG Juan*, CHEN Wen, 2014: Interference of the East Asian Winter Monsoon in the Impact of ENSO on the East Asian Summer Monsoon in Decaying Phases, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 344-354.  doi: 10.1007/s00376-013-3118-8
    [3] XUE Feng, ZENG Qingcun, HUANG Ronghui, LI Chongyin, LU Riyu, ZHOU Tianjun, 2015: Recent Advances in Monsoon Studies in China, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 206-229.  doi: 10.1007/s00376-014-0015-8
    [4] Ning JIANG, Congwen ZHU, 2021: Seasonal Forecast of South China Sea Summer Monsoon Onset Disturbed by Cold Tongue La Niña in the Past Decade, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 147-155.  doi: 10.1007/s00376-020-0090-y
    [5] Yang AI, Ning JIANG, Weihong QIAN, Jeremy Cheuk-Hin LEUNG, Yanying CHEN, 2022: Strengthened Regulation of the Onset of the South China Sea Summer Monsoon by the Northwest Indian Ocean Warming in the Past Decade, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 943-952.  doi: 10.1007/s00376-021-1364-8
    [6] Meng ZUO, Tianjun ZHOU, Wenmin MAN, Xiaolong CHEN, Jian LIU, Fei LIU, Chaochao GAO, 2022: Volcanoes and Climate: Sizing up the Impact of the Recent Hunga Tonga-Hunga Ha'apai Volcanic Eruption from a Historical Perspective, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1986-1993.  doi: 10.1007/s00376-022-2034-1
    [7] WANG Zhiren, WU Dexing, CHEN Xue'en, QIAO Ran, 2013: ENSO Indices and Analyses, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1491-1506.  doi: 10.1007/s00376-012-2238-x
    [8] Xinyi XING, Xianghui FANG, Da PANG, Chaopeng JI, 2024: Seasonal Variation of the Sea Surface Temperature Growth Rate of ENSO, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 465-477.  doi: 10.1007/s00376-023-3005-x
    [9] LI Gang*, LI Chongyin, TAN Yanke, and BAI Tao, 2014: The Interdecadal Changes of South Pacific Sea Surface Temperature in the Mid-1990s and Their Connections with ENSO, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 66-84.  doi: 10.1007/s00376-013-2280-3
    [10] Yuanhai FU, Zhongda LIN, Tao WANG, 2021: Simulated Relationship between Wintertime ENSO and East Asian Summer Rainfall: From CMIP3 to CMIP6, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 221-236.  doi: 10.1007/s00376-020-0147-y
    [11] Yadi LI, Xichen LI, Juan FENG, Yi ZHOU, Wenzhu WANG, Yurong HOU, 2024: Uncertainties of ENSO-related Regional Hadley Circulation Anomalies within Eight Reanalysis Datasets, ADVANCES IN ATMOSPHERIC SCIENCES, 41, 115-140.  doi: 10.1007/s00376-023-3047-0
    [12] Jingrui YAN, Wenjun ZHANG, Suqiong HU, Feng JIANG, 2024: Different ENSO Impacts on Eastern China Precipitation Patterns in Early and Late Winter Associated with Seasonally-Varying Kuroshio Anticyclonic Anomalies, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3196-1
    [13] Fangxing FAN, Renping LIN, Xianghui FANG, Feng XUE, Fei ZHENG, Jiang ZHU, 2021: Influence of the Eastern Pacific and Central Pacific Types of ENSO on the South Asian Summer Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 12-28.  doi: 10.1007/s00376-020-0055-1
    [14] Zhu Yanfeng, Chen Longxun, 2002: The Relationship between the Asian/Australian Monsoon and ENSO on a Quasi-Four-Year Scale, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 727-740.  doi: 10.1007/s00376-002-0012-1
    [15] Peng HU, Wen CHEN, Shangfeng CHEN, Lin WANG, Yuyun LIU, 2022: The Weakening Relationship between ENSO and the South China Sea Summer Monsoon Onset in Recent Decades, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 443-455.  doi: 10.1007/s00376-021-1208-6
    [16] Fei ZHENG, Jianping LI, Ruiqiang DING, 2017: Influence of the Preceding Austral Summer Southern Hemisphere Annular Mode on the Amplitude of ENSO Decay, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1358-1379.  doi: 10.1007/s00376-017-6339-4
    [17] KANG Xianbiao, HUANG Ronghui, WANG Zhanggui, ZHANG Rong-Hua, 2014: Sensitivity of ENSO Variability to Pacific Freshwater Flux Adjustment in the Community Earth System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1009-1021.  doi: 10.1007/s00376-014-3232-2
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Manuscript History

Manuscript received: 10 July 1996
Manuscript revised: 10 July 1996
通讯作者: 陈斌, bchen63@163.com
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Bivariate Wavelet Analysis of Asia Monsoon and ENSO

  • 1. Sensor Physics Group, Electronics Systems Division, Northrop Corporation, Hawthorne, CA 90251,Climate System Research Program, Texas AαM University, College Statim, TX 77843-3150

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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