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Volume 23 Issue 6

Nov.  2006

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2006 >  23(6): 1040-1049

Paleoclimate Modelling at the Institute of Atmospheric Physics, Chinese Academy of Sciences

  • 1.

    Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029


doi: 10.1007/s00376-006-1040-z

  • Paleoclimate modelling is one of the core topics in the Past Global Changes project under the International Geosphere-Biosphere Programme and has received much attention worldwide in recent decades. Here we summarize the research on the Paleoclimate modeling, including the Holocene, Last Glacial Maximum, and pre-Quaternary climate intervals or events performed at the Institute of Atmospheric Physics under the Chinese Academy of Sciences (IAP/CAS) for over one decade. As an attempt to review these academic activities, we emphasize that vegetation and ocean feedbacks can amplify East Asian climate response to the Earth’s orbital parameters and atmospheric CO2 concentration at the mid-Holocene. At the Last Glacial Maximum, additional cooling in interior China is caused by the feedback effects of East Asian vegetation and the ice sheet over the Tibetan Plateau, and the regional climate model RegCM2 generally reduces data-model discrepancies in East Asia. The simulated mid-Pliocene climate is characterized by warmer and drier conditions as well as significantly weakened summer and winter monsoon systems in interior China. On a tectonic timescale, both the Tibetan Plateau uplift and the Paratethys Sea retreat play important roles in the formation of East Asian monsoon-dominant environmental pattern during the Cenozoic.
  • [1] YU Entao, WANG Tao, GAO Yongqi, and XIANG Weiling, 2014: Precipitation Pattern of the Mid-Holocene Simulated by a High-Resolution Regional Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 962-971.  doi: 10.1007/s00376-013-3178-9
    [2] Wang Huijun, 1994: Modelling the January and July Climate of 9000 Years before Present, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 319-326.  doi: 10.1007/BF02658151
    [3] LI Xiangyu, JIANG Dabang, ZHANG Zhongshi, ZHANG Ran, TIAN Zhiping, YAN Qing, 2015: Mid-Pliocene Westerlies from PlioMIP Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 909-923.  doi: 10.1007/s00376-014-4171-7
    [4] ZHANG Ran, JIANG Dabang, 2014: Impact of Vegetation Feedback on the Mid-Pliocene Warm Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1407-1416.  doi: 10.1007/s00376-014-4015-5
    [5] ZHANG Ran, JIANG Dabang, ZHANG Zhongshi, 2015: Causes of Mid-Pliocene Strengthened Summer and Weakened Winter Monsoons over East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1016-1026.  doi: 10.1007/s00376-014-4183-3
    [6] JIANG Dabang, DING Zhongli, Helge DRANGE, GAO Yongqi, 2008: Sensitivity of East Asian Climate to the Progressive Uplift and Expansion of the Tibetan Plateau Under the Mid-Pliocene Boundary Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 709-722.  doi: 10.1007/s00376-008-0709-x
    [7] Seong-Joong KIM, LÜ Junmei, and Baek-Min KIM, 2014: The Southern Annular Mode (SAM) in PMIP2 Simulations of the Last Glacial Maximum, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 863-878.  doi: 10.1007/s00376-013-3179-8
    [8] Wang Huijun, 2002: The Mid-Holocene Climate Simulated by a Grid-Point AGCM Coupled with a Biome Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 205-218.  doi: 10.1007/s00376-002-0017-9
    [9] JIN Liya, WANG Huijun, CHEN Fahu, JIANG Dabang, 2006: A Possible Impact of Cooling over the Tibetan Plateau on the Mid-Holocene East Asian Monsoon Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 543-550.  doi: 10.1007/s00376-006-0543-y
    [10] Wang Huijun, 2000: The Seasonal Climate and Low Frequency Oscillation in the Simulated Mid-Holocene Megathermal Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 17, 445-457.  doi: 10.1007/s00376-000-0035-4
    [11] ZHENG Weipeng, and YU Yongqiang, 2013: Paleoclimate Simulations of the Mid-Holocene and Last Glacial Maximum by FGOALS, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 684-698.  doi: 10.1007/s00376-012-2177-6
    [12] WEI Jiangfeng, WANG Huijun, 2004: A Possible Role of Solar Radiation and Ocean in the Mid-Holocene East Asian Monsoon Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 1-12.  doi: 10.1007/BF02915675
    [13] Shuang LIU, Kaiheng HU, Weiming LIU, Paul A. CARLING, 2022: Hydro-climatic Characteristics of Yarlung Zangbo River Basin since the Last Glacial Maximum, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 415-426.  doi: 10.1007/s00376-021-1150-7
    [14] JIANG Dabang, YU Ge, ZHAO Ping, CHEN Xing, LIU Jian, LIU Xiaodong, WANG Shaowu, ZHANG Zhongshi, YU Yongqiang, LI Yuefeng, JIN Liya, XU Ying, JU Lixia, ZHOU Tianjun, YAN Xiaodong, 2015: Paleoclimate Modeling in China: A Review, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 250-275.  doi: 10.1007/s00376-014-0002-0
    [15] Wang Huijun, 1994: Modelling the Interannual Variation of Regional Precipitation over China, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 230-238.  doi: 10.1007/BF02666549
    [16] Wang Qianqian, Wang Yinhui, Song Yu, Qian Yongfu, 1994: Numerical Modelling of the Effects of Ozone on the Summer Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 201-211.  doi: 10.1007/BF02666546
    [17] Xue Feng, Bi Xunqiang, Lin Yihua, 2001: Modelling the Global Monsoon System by IAP 9L AGCM, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 404-412.  doi: 10.1007/BF02919319
    [18] Chong-yu XU, Elin WIDN, Sven HALLDIN, 2005: Modelling Hydrological Consequences of Climate Change-Progress and Challenges, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 789-797.  doi: 10.1007/BF02918679
    [19] Ran ZHANG, Zhongshi ZHANG, Dabang JIANG, Qing YAN, Xin ZHOU, Zhigang CHENG, 2016: Strengthened African Summer Monsoon in the Mid-Piacenzian, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1061-1070.  doi: 10.1007/s00376-016-5215-y
    [20] Weipeng ZHENG, Yongqiang YU, Yihua LUAN, Shuwen ZHAO, Bian HE, Li DONG, Mirong SONG, Pengfei LIN, Hailong LIU, 2020: CAS-FGOALS Datasets for the Two Interglacial Epochs of the Holocene and the Last Interglacial in PMIP4, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1034-1044.  doi: 10.1007/s00376-020-9290-8
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    • Manuscript History

    Manuscript received: 10 November 2006
    Manuscript revised: 10 November 2006
    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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    Paleoclimate Modelling at the Institute of Atmospheric Physics, Chinese Academy of Sciences

    • 1. Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    • Manuscript received: 2006-11-10
    • Manuscript revised: 2006-11-10

    Abstract: Paleoclimate modelling is one of the core topics in the Past Global Changes project under the International Geosphere-Biosphere Programme and has received much attention worldwide in recent decades. Here we summarize the research on the Paleoclimate modeling, including the Holocene, Last Glacial Maximum, and pre-Quaternary climate intervals or events performed at the Institute of Atmospheric Physics under the Chinese Academy of Sciences (IAP/CAS) for over one decade. As an attempt to review these academic activities, we emphasize that vegetation and ocean feedbacks can amplify East Asian climate response to the Earth’s orbital parameters and atmospheric CO2 concentration at the mid-Holocene. At the Last Glacial Maximum, additional cooling in interior China is caused by the feedback effects of East Asian vegetation and the ice sheet over the Tibetan Plateau, and the regional climate model RegCM2 generally reduces data-model discrepancies in East Asia. The simulated mid-Pliocene climate is characterized by warmer and drier conditions as well as significantly weakened summer and winter monsoon systems in interior China. On a tectonic timescale, both the Tibetan Plateau uplift and the Paratethys Sea retreat play important roles in the formation of East Asian monsoon-dominant environmental pattern during the Cenozoic.

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