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Volume 5 Issue 4

Oct.  1988

Article Contents

LONG-TERM VARIABILITY OF THE INDIAN SUMMER MON-SOON AND RELATED PARAMETERS


doi: 10.1007/BF02656792

  • The long-term variability of the Indian summer monsoon rain-fall and related regional and global param-eters are studied. The cubic spline is used as a digital filter to smooth the high frequency signals in the time series of the various parameters. The length of the data series varies from 95 to 115 years during the period 1871-1985. The parameters studied within the monsoon system are: (a) monsoon rainfall of the country as a whole; (b) number of break-monsoon days during July and August; (c) number of storms/ depressions in Bay of Bengal and Arabian Sea during summer monsoon season; and (d) dates of onset of summer monsoon over South Kerala Coast. The parameters studied outside the monsoon system are: (a) the Wright’s Southern Oscillation Index (June-July-August); (b) the January mean Northern Hemi-spheric surface air temperature anomaly; and (c) the East-equatorial Pacific sea surface temperature anomaly.In order to examine the variability under various degrees of the smoothing, the series are filtered with splines of 50% variance reduction frequency of one cycle per 10, 20 and 30 years. It is observed that the smoothed time series of the parameters within the monsoon system comprise a common slowly varying com-ponent in an episodic manner distinctly showing the excess and deficient rainfall epochs. The change of intercorrelations between the time series with increasing degree of smoothing throws some light on the time scales of the dominant interactions. The relation between Southern Oscillation and East equatorial Pacific sea surface temperature and the Indian summer monsoon seems to be dominant on the interannual scale. The low frequency variations are found to have significantly contributed to the instability of the correlations of monsoon rainfall with parameters outside the monsoon system.
  • [1] K. D. Prasad, S. V. Singh, 1988: LARGE-SCALE FEATURES OF THE INDIAN SUMMER MON-SOON RAINFALL AND THEIR ASSOCIATION WITH SOME OCEANIC AND ATMOSPHERIC VARIABLES, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 499-513.  doi: 10.1007/BF02656794
    [2] FENG Lin, WU Dexing, LIN Xiaopei, MENG Xiangfeng, 2010: The Effect of Regional Ocean-Atmosphere Coupling on the Long-term Variability in the Pacific Ocean, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 393-402.  doi: 10.1007/s00376-009-8195-3
    [3] Lei LIU, Fei HU, 2019: Long-term Correlations and Extreme Wind Speed Estimations, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1121-1128.  doi: 10.1007/s00376-019-9031-z
    [4] HU Bo, WANG Yuesi, LIU Guangren, 2010: Long-Term Trends in Photosynthetically Active Radiation in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1380-1388.  doi: 10.1007/s00376-010-9204-2
    [5] Tomio Asai, Yasumasa Kodama, Ji-Cang Zhu, 1988: LONG-TERM VARIATIONS OF CYCLONE ACTIVITIES IN EAST ASIA, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 149-158.  doi: 10.1007/BF02656777
    [6] T. C. LEE, H. S. CHAN, E. W. L. GINN, M. C. WONG, 2011: Long-Term Trends in Extreme Temperatures in Hong Kong and Southern China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 147-157.  doi: 10.1007/s00376-010-9160-x
    [7] LIN Pengfei, YU Yongqiang, LIU Hailong, 2013: Long-term Stability and Oceanic Mean State Simulated by the Coupled Model FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 175-192.  doi: 10.1007/s00376-012-2042-7
    [8] Ping LIANG, Yihui DING, 2017: The Long-term Variation of Extreme Heavy Precipitation and Its Link to Urbanization Effects in Shanghai during 1916-2014, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 321-334.  doi: 10.1007/s00376-016-6120-0
    [9] Yong ZHANG, Lejian ZHANG, Jianping GUO, Jinming FENG, Lijuan CAO, Yang WANG, Qing ZHOU, Liangxu LI, Bai LI, Hui XU, Lin LIU, Ning AN, Huan LIU, 2018: Climatology of Cloud-base Height from Long-term Radiosonde Measurements in China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 158-168.  doi: 10.1007/s00376-017-7096-0
    [10] Jozsef SZILAGYI, Richard CRAGO, Ning MA, 2020: Dynamic Scaling of the Generalized Complementary Relationship Improves Long-term Tendency Estimates in Land Evaporation, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 975-986.  doi: 10.1007/s00376-020-0079-6
    [11] Fei ZHENG, Jianping LI, Shuailei YAO, 2021: Intermodel Diversity of Simulated Long-term Changes in the Austral Winter Southern Annular Mode: Role of the Southern Ocean Dipole, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 375-386.  doi: 10.1007/s00376-020-0241-1
    [12] Zhaoliang ZENG, Zemin WANG, Minghu DING, Xiangdong ZHENG, Xiaoyu SUN, Wei ZHU, Kongju ZHU, Jiachun AN, Lin ZANG, Jianping GUO, Baojun ZHANG, 2021: Estimation and Long-term Trend Analysis of Surface Solar Radiation in Antarctica: A Case Study of Zhongshan Station, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1497-1509.  doi: 10.1007/s00376-021-0386-6
    [13] Zhen LI, Zhongwei YAN, Lijuan CAO, Phil D. JONES, 2018: Further-Adjusted Long-Term Temperature Series in China Based on MASH, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 909-917.  doi: 10.1007/s00376-018-7280-x
    [14] Bruno FERRERO, Marcos TONELLI, Fernanda MARCELLO, Ilana WAINER, 2021: Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 157-167.  doi: 10.1007/s00376-020-0178-4
    [15] HU Shujuan, CHOU Jifan, 2004: Uncertainty of the Numerical Solution of a Nonlinear System's Long-term Behavior and Global Convergence of the Numerical Pattern, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 767-774.  doi: 10.1007/BF02916373
    [16] Wenying HE, Hongbin CHEN, Xiang’ao XIA, Shengli WU, Peng ZHANG, 2023: Evaluation of the Long-term Performance of Microwave Radiation Imager Onboard Chinese Fengyun Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1257-1268.  doi: 10.1007/s00376-023-2199-2
    [17] Xichuan LIU, Kun ZHAO, Mingzhong ZOU, Kang PU, Kun SONG, 2023: Rainfall Monitoring Using a Microwave Links Network: A Long-Term Experiment in East China, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1567-1583.  doi: 10.1007/s00376-023-2104-z
    [18] Jin Long, LuoYing, Lin Zhenshan, 1997: Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 87-92.  doi: 10.1007/s00376-997-0047-4
    [19] WEI Ke, CHEN Wen, HUANG Ronghui, 2006: Long-Term Changes of the Ultraviolet Radiation in China and its Relationship with Total Ozone and Precipitation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 700-710.  doi: 10.1007/s00376-006-0700-3
    [20] Kyu Rang KIM, Tae Heon KWON, Yeon-Hee KIM, Hae-Jung KOO, Byoung-Cheol CHOI, Chee-Young CHOI, 2009: Restoration of an Inner-City Stream and Its Impact on Air Temperature and Humidity Based on Long-Term Monitoring Data, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 283-292.  doi: 10.1007/s00376-009-0283-x

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Manuscript History

Manuscript received: 10 October 1988
Manuscript revised: 10 October 1988
通讯作者: 陈斌, bchen63@163.com
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LONG-TERM VARIABILITY OF THE INDIAN SUMMER MON-SOON AND RELATED PARAMETERS

  • 1. Indian Institute of Tropical Meteorology, Pune-411005, India,Indian Institute of Tropical Meteorology, Pune-411005, India,Indian Institute of Tropical Meteorology, Pune-411005, India,Indian Institute of Tropical Meteorology, Pune-411005, India

Abstract: The long-term variability of the Indian summer monsoon rain-fall and related regional and global param-eters are studied. The cubic spline is used as a digital filter to smooth the high frequency signals in the time series of the various parameters. The length of the data series varies from 95 to 115 years during the period 1871-1985. The parameters studied within the monsoon system are: (a) monsoon rainfall of the country as a whole; (b) number of break-monsoon days during July and August; (c) number of storms/ depressions in Bay of Bengal and Arabian Sea during summer monsoon season; and (d) dates of onset of summer monsoon over South Kerala Coast. The parameters studied outside the monsoon system are: (a) the Wright’s Southern Oscillation Index (June-July-August); (b) the January mean Northern Hemi-spheric surface air temperature anomaly; and (c) the East-equatorial Pacific sea surface temperature anomaly.In order to examine the variability under various degrees of the smoothing, the series are filtered with splines of 50% variance reduction frequency of one cycle per 10, 20 and 30 years. It is observed that the smoothed time series of the parameters within the monsoon system comprise a common slowly varying com-ponent in an episodic manner distinctly showing the excess and deficient rainfall epochs. The change of intercorrelations between the time series with increasing degree of smoothing throws some light on the time scales of the dominant interactions. The relation between Southern Oscillation and East equatorial Pacific sea surface temperature and the Indian summer monsoon seems to be dominant on the interannual scale. The low frequency variations are found to have significantly contributed to the instability of the correlations of monsoon rainfall with parameters outside the monsoon system.

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