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Volume 12 Issue 3

Jul.  1995

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 1995 >  12(3): 377-385

Some Unique Characteristics of Atmospheric Interannual Variability in Rainfall Time Series over India and the United Kingdom

  • 1.

    Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India


doi: 10.1007/BF02656987

  • Continuous periodogram analyses of two 50-years (1871-1920 and 1936- 1985) of summer monsoon rainfall over the Indian region and one 84-years set (1893-1976) of winter half-year rainfall over England and Wales show that the power spectra of disparate rainfall regimes follow the universal and unique inverse power law form of the sta-tistical normal distribution with the percentage contribution to total variance representating the eddy probability cor-responding to the normalized standard deviation equal to [(log L / log T50)-l] where L is the period in years and T50 the period up to which the cumulative percentage contribution to total variance is equal to 50. The above results are consistent with a recently developed non-deterministic cell dynamical system model for atmospheric flows. The im-plications or the above results for prediction of interannual variability of rainfall is discussed.
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    [5] S.G. Narkhedkar, 1995: The Variability of the Interannual Oscillations of the Indian Summer Monsoon Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 95-102.  doi: 10.1007/BF02661291
    [6] A. Mary Selvam, 1993: A Universal Spectrum for Interannual Variability of Monsoon Rainfall over India, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 221-226.  doi: 10.1007/BF02919144
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    [12] Wu Aiming, Ni Yunqi, 1997: The Influence of Tibetan Plateau on the Interannual Variability of Asian Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 491-504.  doi: 10.1007/s00376-997-0067-0
    [13] WangHuijun, Xue Feng, Bi Xunqiang, 1997: The Interannual Variability and Predictability in a Global Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 554-562.  doi: 10.1007/s00376-997-0073-2
    [14] K.-M. Lau, Song Yang, 1997: Climatology and Interannual Variability of the Southeast Asian Summer Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 141-162.  doi: 10.1007/s00376-997-0016-y
    [15] Xue Feng, Zeng Qingcun, 1999: Diagnostic Study on Seasonality and Interannual Variability of Wind Field, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 537-543.  doi: 10.1007/s00376-999-0029-9
    [16] Chen Wen, Hans-F. Graf, Huang Ronghui, 2000: The Interannual Variability of East Asian Winter Monsoon and Its Relation to the Summer Monsoon, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 48-60.  doi: 10.1007/s00376-000-0042-5
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    • Manuscript History

    Manuscript received: 10 July 1995
    Manuscript revised: 10 July 1995
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Some Unique Characteristics of Atmospheric Interannual Variability in Rainfall Time Series over India and the United Kingdom

    • 1. Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India
    • Manuscript received: 1995-07-10
    • Manuscript revised: 1995-07-10

    Abstract: Continuous periodogram analyses of two 50-years (1871-1920 and 1936- 1985) of summer monsoon rainfall over the Indian region and one 84-years set (1893-1976) of winter half-year rainfall over England and Wales show that the power spectra of disparate rainfall regimes follow the universal and unique inverse power law form of the sta-tistical normal distribution with the percentage contribution to total variance representating the eddy probability cor-responding to the normalized standard deviation equal to [(log L / log T50)-l] where L is the period in years and T50 the period up to which the cumulative percentage contribution to total variance is equal to 50. The above results are consistent with a recently developed non-deterministic cell dynamical system model for atmospheric flows. The im-plications or the above results for prediction of interannual variability of rainfall is discussed.

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