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Volume 6 Issue 2

Apr.  1989

Article Contents

The Synoptic Climatology of Monthly Mean Surface Temperature in Asia in Relation to the 700 hPa Circulation


doi: 10.1007/BF02658018

  • The synoptic climatology of monthly mean surface air temperature anomaly (MMATA)at 47 surface stations in Asia is assessed by two types of maps. The first consists of simple linear correlation coefficients between the MMATA at a station and the monthly mean 700 hPa height anomaly (MMHA) at 134 grid points in the Northern Hemisphere. In winter, these fields generally contain two equally important centers: a center of maximum positive correlation approximately 1300 km from the reference station and a negative center about 2800 km to its northwest. In summer, the positive center is located an average of 800 km from the reference station and strongly dominates the MMATA, while the negative center is no longer as important as in winter. The second kind of map is a special type of anomaly composite, constructed by multiplying the correlation coefficient at each grid point by the standard deviation of MMHA at the same point. This map shows the optimum distribution of height anomalies for abnormally warm (or cold) weather for winter and summer in each of several climate-Logically similar regions into which Asia is subdivided.
  • [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] Jeong-Hyeong LEE, Keon-Tae SOHN, 2007: Prediction of Monthly Mean Surface Air Temperature in a Region of China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 503-508.  doi: 10.1007/s00376-007-0503-1
    [3] 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
    [4] Wei CHEN, Xiaowei HONG, Riyu LU, Aifen JIN, Shizhu JIN, Jae-Cheol NAM, Jin-Ho SHIN, Tae-Young GOO, Baek-Jo KIM, 2016: Variation in Summer Surface Air Temperature over Northeast Asia and Its Associated Circulation Anomalies, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1-9.  doi: 10.1007/s00376-015-5056-0
    [5] HUANG Jiayou, TAN Benkui, SUO Lingling, HU Yongyun, 2007: Monthly Changes in the Influence of the Arctic Oscillation on Surface Air Temperature over China, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 799-807.  doi: 10.1007/s00376-007-0799-x
    [6] Yan Shaojin, Peng Yongqing, Quo Guang, 1995: Monthly Mean Temperature Prediction Based on a Multi-level Mapping Model of Neural Network BP Type, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 225-232.  doi: 10.1007/BF02656835
    [7] Zhao Shengju, 1986: RELATION BETWEEN LONG-DISTANCE MIGRATION OF ORIENTAL ARMYWORMS AND SEASONAL VARIATION OF GENERAL CIRCULATION OVER EAST ASIA, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 215-226.  doi: 10.1007/BF02682555
    [8] Shi Neng, Luo Boliang, 1991: Telecorrelation of the 500 hPa Polar Circulation and El Nino / SO with the Temperature Fields in China, ADVANCES IN ATMOSPHERIC SCIENCES, 8, 289-298.  doi: 10.1007/BF02919611
    [9] 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
    [10] LI Qingxiang, LIU Xiaoning, ZHANG Hongzheng, Thomas C. PETERSON, David R. EASTERLING, 2004: Detecting and Adjusting Temporal Inhomogeneity in Chinese Mean Surface Air Temperature Data, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 260-268.  doi: 10.1007/BF02915712
    [11] Ya WANG, Gang HUANG, Baoxiang PAN, Pengfei LIN, Niklas BOERS, Weichen TAO, Yutong CHEN, BO LIU, Haijie LI, 2024: Correcting Climate Model Sea Surface Temperature Simulations with Generative Adversarial Networks: Climatology, Interannual Variability, and Extremes, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-024-3288-6
    [12] Wang Qianqian, Wang Anyu, Li Xuefeng, Li Shuren, 1986: THE EFFECTS OF THE QINGHAI-XIZANG PLATEAU ON THE MEAN SUMMER CIRCULATION OVER EAST ASIA, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 72-85.  doi: 10.1007/BF02680046
    [13] HU Dingzhu, TIAN Wenshou, XIE Fei, SHU Jianchuan, and Sandip DHOMSE, , 2014: Effects of Meridional Sea Surface Temperature Changes on Stratospheric Temperature and Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 888-900.  doi: 10.1007/s00376-013-3152-6
    [14] ZHOU Botao, WANG Huijun, 2008: Interdecadal Change in the Connection Between Hadley Circulation and Winter Temperature in East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 24-30.  doi: 10.1007/s00376-008-0024-6
    [15] SONG Fengfei, and ZHOU Tianjun, 2013: FGOALS-s2 Simulation of Upper-level Jet Streams over East Asia: Mean State Bias and Synoptic-scale Transient Eddy Activity, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 739-753.  doi: 10.1007/s00376-012-2212-7
    [16] Myoung-Hwan AHN, Eun-Ha SOHN, Byong-Jun HWANG, Chu-Yong CHUNG, Xiangqian WU, 2006: Derivation of Regression Coefficients for Sea Surface Temperature Retrieval over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 474-486.  doi: 10.1007/s00376-006-0474-7
    [17] Kexin LI, Fei ZHENG, Jiang ZHU, Qing-Cun ZENG, 2024: El Niño and the AMO Sparked the Astonishingly Large Margin of Warming in the Global Mean Surface Temperature in 2023, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3371-4
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    [19] LIN Pengfei, LIU Hailong, YU Yongqiang, ZHANG Xuehong, 2011: Response of Sea Surface Temperature to Chlorophyll-a Concentration in the Tropical Pacific: Annual Mean, Seasonal Cycle, and Interannual Variability, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 492-510.  doi: 10.1007/s00376-010-0015-2
    [20] Gong-Wang Si, Kuranoshin Kato, Takao Takeda, 1995: The Early Summer Seasonal Change of Large-scale Circulation over East Asia and Its Relation to Change of The Frontal Features and Frontal Rainfall Environment During 1991 Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 151-176.  doi: 10.1007/BF02656829

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Manuscript History

Manuscript received: 10 April 1989
Manuscript revised: 10 April 1989
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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The Synoptic Climatology of Monthly Mean Surface Temperature in Asia in Relation to the 700 hPa Circulation

  • 1. Department of Meteorology, University of Maryland College Park, MD 20742,Department of Meteorology, University of Maryland College Park, MD 20742

Abstract: The synoptic climatology of monthly mean surface air temperature anomaly (MMATA)at 47 surface stations in Asia is assessed by two types of maps. The first consists of simple linear correlation coefficients between the MMATA at a station and the monthly mean 700 hPa height anomaly (MMHA) at 134 grid points in the Northern Hemisphere. In winter, these fields generally contain two equally important centers: a center of maximum positive correlation approximately 1300 km from the reference station and a negative center about 2800 km to its northwest. In summer, the positive center is located an average of 800 km from the reference station and strongly dominates the MMATA, while the negative center is no longer as important as in winter. The second kind of map is a special type of anomaly composite, constructed by multiplying the correlation coefficient at each grid point by the standard deviation of MMHA at the same point. This map shows the optimum distribution of height anomalies for abnormally warm (or cold) weather for winter and summer in each of several climate-Logically similar regions into which Asia is subdivided.

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