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Volume 8 Issue 3

Jul.  1991

Article Contents

Telecorrelation of the 500 hPa Polar Circulation and El Nino / SO with the Temperature Fields in China


doi: 10.1007/BF02919611

  • By using the monthly data from 1951 through 1984, empirical orthogonal expansion is performed for the 500 hPa geopotential height north of 65oN and the canonical fields are clustered by fuzzy classification. It is noted that both the mean monthly polar vortex fields and the large-scale anomaly fields fall into three regimes, with those of the January mean field and the April anomaly field having characteristic features. In addition, the relationship between the time weigthing coefficients of the canonical fields and El Nino / SO is examined, showing significant anomalies in the large-scale polar anomaly fields during April and October of the year when El Nino occurs. These polar circulation anomalies have considerably influenced the temperature fields in China during April and October. Thus, we may con-clude that this is one of the most important reasons for a relatively cool April and a warm October in China during the El Nino year.
  • [1] Shi Neng, 1988: A MULTI-STATISTICAL ANALYSIS OF THE SOUTHERN OSCILLATION (SO) AND ITS RELATION TO THE MEAN MONTHLY ATMOSPHERIC CIRCULATION AT 500 hPa IN THE NORTHERN HEMISPHERE, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 345-360.  doi: 10.1007/BF02656758
    [2] Chen Wanlong, Chu Pao-Shin, 1990: On the Couplings between Chebyshev Coefficients as Derived from the Monthly Mean Geopotential Fields at 500 hPa over East Asia and the Southern Oscillation, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 347-353.  doi: 10.1007/BF03179766
    [3] Zhang Renhe, Akimasa Sumi, Masahide Kimoto, 1999: A Diagnostic Study of the Impact of El Nino on the Precipitation in China, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 229-241.  doi: 10.1007/BF02973084
    [4] Chen Yingyi, 1993: Predictability of the 500 hPa Height Field, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 497-503.  doi: 10.1007/BF02656975
    [5] Ji Zhengang, Chao Jiping, 1987: TELECONNECTIONS OF THE SEA SURFACE TEMPERATURE IN THE INDIAN OCEAN WTTH SEA SURFACE TEMPERATURE IN THE EASTERN EQUATORIAL PACIFIC, AND WITH THE 500 hPa GEOPOTENTIAL HEIGHT FIELD IN THE NORTHERN HEMISPHERE, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 343-348.  doi: 10.1007/BF02663604
    [6] Ni Yunqi, Lin Yuanbi, 1990: Numerical Study for Characteristic Change of Asian Summer Monsoon Circulation and Its Influence Mechanism during the El Nino Period, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 320-330.  doi: 10.1007/BF03179764
    [7] ZHANG Jie, ZHOU Tianjun, BAO Qing, WU Bo, 2010: The Vertical Structures of Atmospheric Temperature Anomalies Associated with El Nino Simulated by the LASG/IAP AGCM: Sensitivity to Convection Schemes, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1051-1063.  doi: 10.1007/s00376-010-9167-3
    [8] LI Gen, REN Baohua, YANG Chengyun, ZHENG Jianqiu, 2010: Indices of El Nino and El Nino Modoki: An improved El Nino Modoki index, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1210-1220.  doi: 10.1007/s00376-010-9173-5
    [9] Zhang Mingli, 1988: TELECONNECTION OF THE DOMINANT SPATIAL PATTERNS OF THE SEASONAL 500 hPa GPH FIELD, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 421-436.  doi: 10.1007/BF02656788
    [10] BAO Ming, HAN Rongqing, 2009: Delayed Impacts of the El Nino Episodes in the Central Pacific on the Summertime Climate Anomalies of Eastern China in 2003 and 2007, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 553-563.  doi: 10.1007/s00376-009-0553-7
    [11] Li Chongyin, 1988: ACTIONS OF TYPHOONS OVER THE WESTERN PACIFIC (INCLUDING THE SOUTH CHINA SEA) AND EL NINO, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 107-116.  doi: 10.1007/BF02657352
    [12] Runhua Yang, William H. Klein, 1989: The Synoptic Climatology of Monthly Mean Surface Temperature in Asia in Relation to the 700 hPa Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 227-238.  doi: 10.1007/BF02658018
    [13] Fang Zhifang, John M. Wallace, David W. J. Thompson, 2001: The Relationship between the Meridional Profile of Zonal mean Geostrophic Wind and Station Wave at 500 hPa, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 692-700.
    [14] Wang Panxing, Gao Zhi, Li Changqing, 1987: ANALYSIS OF THE TELECONNECTIONAL STRUCTURES OF THE 500-hPa HEIGHT FIELD OVER THE NH IN JANUARY, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 185-197.  doi: 10.1007/BF02677065
    [15] S. V. Singh, S. R. Inamdar, R. H. Kripalani, K. D. Prasad, 1986: RELATIONSHIP BETWEEN 500 hPa RIDGE AXIS POSITIONS OVER THE INDIAN AND THE WEST PACIFIC REGIONS AND THE INDIAN SUMMER MONSOON RAINFALL, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 349-359.  doi: 10.1007/BF02678655
    [16] Qiu Yongyan, 1993: On the Seasonal Transition and the Interannual Variability in Global Kinetic Energy at 500 hPa, Accompanied with Anomalies of Energy during the 1982 / 83 ENSO, ADVANCES IN ATMOSPHERIC SCIENCES, 10, 248-256.  doi: 10.1007/BF02919148
    [17] Fu Congbin, Dong Dongfeng, Ralph Slutz, Joseph Fletcher, 1988: EL NINO/SOUTHERN OSCILLATION SIGNALS IN THE GLOBAL TROPICAL OCEAN, ADVANCES IN ATMOSPHERIC SCIENCES, 5, 35-46.  doi: 10.1007/BF02657344
    [18] Li Chongyin, 1990: Interaction between Anomalous Winter Monsoon in East Asia and El Nino Events, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 36-46.  doi: 10.1007/BF02919166
    [19] Zhang Qin, Zhu Yufeng, Ni Yunqi, 1995: QBO Features of Tropical Pacific wind Stress Field with the Relation to El Nino, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 87-94.  doi: 10.1007/BF02661290
    [20] Shouhong WANG, MA Tian, 2011: El Nino Southern Oscillation as Sporadic Oscillations between Metastable States, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 612-622.  doi: 10.1007/s00376-010-9089-0

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Manuscript History

Manuscript received: 10 July 1991
Manuscript revised: 10 July 1991
通讯作者: 陈斌, bchen63@163.com
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Telecorrelation of the 500 hPa Polar Circulation and El Nino / SO with the Temperature Fields in China

  • 1. Nanjing Institute of Meteorology, Nanjing 210044,Meteorological Observatory of Hunan Province

Abstract: By using the monthly data from 1951 through 1984, empirical orthogonal expansion is performed for the 500 hPa geopotential height north of 65oN and the canonical fields are clustered by fuzzy classification. It is noted that both the mean monthly polar vortex fields and the large-scale anomaly fields fall into three regimes, with those of the January mean field and the April anomaly field having characteristic features. In addition, the relationship between the time weigthing coefficients of the canonical fields and El Nino / SO is examined, showing significant anomalies in the large-scale polar anomaly fields during April and October of the year when El Nino occurs. These polar circulation anomalies have considerably influenced the temperature fields in China during April and October. Thus, we may con-clude that this is one of the most important reasons for a relatively cool April and a warm October in China during the El Nino year.

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