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Global Climate Internal Variability in a 2000-year Control Simulation with Community Earth System Model (CESM)

机译:全球气候内部变异在2000年的社区地球系统模型(CESM)的控制模拟中

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摘要

Using the low-resolution(T31, equivalent to 3.75°× 3.75°) version of the Community Earth System Model(CESM) from the National Center for Atmospheric Research(NCAR), a global climate simulation was carried out with fixed external forcing factors(1850 Common Era.(C.E.) conditions) for the past 2000 years. Based on the simulated results, spatio-temporal structures of surface air temperature, precipitation and internal variability, such as the El Nio-Southern Oscillation(ENSO), the Atlantic Multi-decadal Oscillation(AMO), the Pacific Decadal Oscillation(PDO), and the North Atlantic Oscillation(NAO), were compared with reanalysis datasets to evaluate the model performance. The results are as follows: 1) CESM showed a good performance in the long-term simulation and no significant climate drift over the past 2000 years; 2) climatological patterns of global and regional climate changes simulated by the CESM were reasonable compared with the reanalysis datasets; and 3) the CESM simulated internal natural variability of the climate system performs very well. The model not only reproduced the periodicity of ENSO, AMO and PDO events but also the 3–8 years variability of the ENSO. The spatial distribution of the CESM-simulated NAO was also similar to the observed. However, because of weaker total irradiation and greenhouse gas concentration forcing in the simulation than the present, the model performances had some differences from the observations. Generally, the CESM showed a good performance in simulating the global climate and internal natural variability of the climate system. This paves the way for other forced climate simulations for the past 2000 years by using the CESM.

著录项

  • 来源
    《中国地理科学(英文版)》 |2015年第3期|263-273|共11页
  • 作者单位

    State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing 210008 China;

    University of Chinese Academy of Sciences Beijing 100049 China;

    State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing 210008 China;

    University of Chinese Academy of Sciences Beijing 100049 China;

    Key Laboratory of Virtual Geographic Environment of Ministry of Education School of Geography Science Nanjing Normal University Nanjing 210023 China;

    State Key Laboratory of Lake Science and Environment Nanjing Institute of Geography and Limnology Chinese Academy of Sciences Nanjing 210008 China;

    Key Laboratory of Virtual Geographic Environment of Ministry of Education School of Geography Science Nanjing Normal University Nanjing 210023 China;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
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