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Volume 18 Issue 3

May  2001

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2001 >  18(3): 309-322

Influence of Inhomogeneity on the Estimation of Mean and Extreme Temperature Trends in Beijing and Shanghai

  • 1.

    LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,CRU, University of East Anglia, Norwich NR4 7TJ, UK


doi: 10.1007/BF02919312

  • Inhomogeneities in the temperature series from Beijing and Shanghai are analyzed, using the detailed histories of both sets of observations. The major corrections for different periods range from -0.33 to 0.6?for Beijing and -0.33 to 0.3? for Shanghai. Annual mean and extreme temperature series are deduced from the daily observations and trends in the adjusted and unadjusted series are compared. The adjusted yearly mean temperatures show a warming trend of 0.5? / century since the turn of this century and an enhanced one of 2.0?/century since the 1960s. In contrast, the unadjusted data show a twice this value trend for Shanghai but little trend for Beijing at the long-term scale and overestimate the recent warming by 50%-130%. Beijing experienced a decrease of frequency of the extremes together with a cooling during the 1940s-1970s and an increase of frequency of extremes together with a warming since then. The trends of frequency of extremes at Shanghai were more or less opposite. It is implied that the regional trends of strong weather variations may be different even when the regional mean temperatures coherently change.
  • [1] LI Zhen, YAN Zhongwei, 2010: Application of Multiple Analysis of Series for Homogenization to Beijing Daily Temperature Series (1960--2006), ADVANCES IN ATMOSPHERIC SCIENCES, 27, 777-787.  doi: 10.1007/s00376-009-9052-0
    [2] YAN Zhongwei, Phil D. JONES, 2008: Detecting Inhomogeneity in Daily Climate Series Using Wavelet Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 157-163.  doi: 10.1007/s00376-008-0157-7
    [3] Ahmad Norazhar Mohd YATIM, Mohd Talib LATIF, Fatimah AHAMAD, Md Firoz KHAN, Mohd Shahrul Mohd NADZIR, Liew JUNENG, 2019: Observed Trends in Extreme Temperature over the Klang Valley, Malaysia, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 1355-1370.  doi: 10.1007/s00376-019-9075-0
    [4] Xiujing YU, Guoyu REN, Panfeng ZHANG, Jingbiao HU, Ning LIU, Jianping LI, Chenchen ZHANG, 2020: Extreme Temperature Change of the Last 110 Years in Changchun, Northeast China, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 347-358.  doi: 10.1007/s00376-020-9165-z
    [5] LI Hongmei, FENG Lei, ZHOU Tianjun, 2011: Multi-Model Projection of July--August Climate Extreme Changes over China under CO2 Doubling. Part II: Temperature, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 448-463.  doi: 10.1007/s00376-010-0052-x
    [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] 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
    [8] Athanassios A. ARGIRIOU, Zhen LI, Vasileios ARMAOS, Anna MAMARA, Yingling SHI, Zhongwei YAN, 2023: Homogenised Monthly and Daily Temperature and Precipitation Time Series in China and Greece since 1960, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1326-1336.  doi: 10.1007/s00376-022-2246-4
    [9] Chao Jiping, Ji Zhengang, 1985: ON THE INFLUENCES OF LARGE-SCALE INHOMOGENEITY OF SEA TEMPERATURE UPON THE OCEANIC WAVES IN THE TROPICAL REGIONS——PART I : LINEAR THEORETICAL ANALYSIS, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 295-306.  doi: 10.1007/BF02677245
    [10] Ji Zhengang, Chao Jiping, 1986: ON THE INFLUENCES OF LARGE-SCALE INHOMOGENEITY OF SEA TEMPERATURE UPON THE OCEANIC WAVES IN THE TROPICAL REGIONS PART II: LINEAR NUMERICAL EXPERIMENTS, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 238-244.  doi: 10.1007/BF02682557
    [11] Guwei ZHANG, Gang ZENG, Xiaoye YANG, Zhihong JIANG, 2021: Future Changes in Extreme High Temperature over China at 1.5°C–5°C Global Warming Based on CMIP6 Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 253-267.  doi: 10.1007/s00376-020-0182-8
    [12] GUO Yanjun, DING Yihui, 2011: Impacts of Reference Time Series on the Homogenization of Radiosonde Temperature, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1011-1022.  doi: 10.1007/s00376-010-9211-3
    [13] LI Qingxiang, DONG Wenjie, 2009: Detection and Adjustment of Undocumented Discontinuities in Chinese Temperature Series Using a Composite Approach, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 143-153.  doi: 10.1007/s00376-009-0143-8
    [14] XU Ying, GAO Xuejie, SHEN Yan, XU Chonghai, SHI Ying, F. GIORGI, 2009: A Daily Temperature Dataset over China and Its Application in Validating a RCM Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 763-772.  doi: 10.1007/s00376-009-9029-z
    [15] YE Liming, YANG Guixia, Eric VAN RANST, TANG Huajun, 2013: Time-Series Modeling and Prediction of Global Monthly Absolute Temperature for Environmental Decision Making, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 382-396.  doi: 10.1007/s00376-012-1252-3
    [16] 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
    [17] Yujie WANG, Botao ZHOU, Dahe QIN, Jia WU, Rong GAO, Lianchun SONG, 2017: Changes in Mean and Extreme Temperature and Precipitation over the Arid Region of Northwestern China: Observation and Projection, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 287-305.  doi: 10.1007/s00376-016-6160-5
    [18] Zhiyi ZHOU, Juan LI, Haishan CHEN, Zhiwei ZHU, 2023: Seasonal Prediction of Extreme High-Temperature Days in Southwestern China Based on the Physical Precursors, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1212-1224.  doi: 10.1007/s00376-022-2075-5
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    [20] Youngsaeng LEE, Sanghoo YOON, Md. Sharwar MURSHED, Maeng-Ki KIM, ChunHo CHO, Hee-Jeong BAEK, Jeong-Soo PARK, 2013: Spatial Modeling of the Highest Daily Maximum Temperature in Korea via Max-stable Processes, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1608-1620.  doi: 10.1007/s00376-013-2216-y
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    • Manuscript History

    Manuscript received: 10 May 2001
    Manuscript revised: 10 May 2001
    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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    Influence of Inhomogeneity on the Estimation of Mean and Extreme Temperature Trends in Beijing and Shanghai

    • 1. LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,CRU, University of East Anglia, Norwich NR4 7TJ, UK
    • Manuscript received: 2001-05-10
    • Manuscript revised: 2001-05-10

    Abstract: Inhomogeneities in the temperature series from Beijing and Shanghai are analyzed, using the detailed histories of both sets of observations. The major corrections for different periods range from -0.33 to 0.6?for Beijing and -0.33 to 0.3? for Shanghai. Annual mean and extreme temperature series are deduced from the daily observations and trends in the adjusted and unadjusted series are compared. The adjusted yearly mean temperatures show a warming trend of 0.5? / century since the turn of this century and an enhanced one of 2.0?/century since the 1960s. In contrast, the unadjusted data show a twice this value trend for Shanghai but little trend for Beijing at the long-term scale and overestimate the recent warming by 50%-130%. Beijing experienced a decrease of frequency of the extremes together with a cooling during the 1940s-1970s and an increase of frequency of extremes together with a warming since then. The trends of frequency of extremes at Shanghai were more or less opposite. It is implied that the regional trends of strong weather variations may be different even when the regional mean temperatures coherently change.

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