A coupled experiment with LICOM2 as the ocean component of CESM1
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  • 作者:Pengfei Lin 林鹏顿/a> ; Hailong Liu 刘海鼿/a> ; Wei Xue 蔿嵿/a>…
  • 刊名:Journal of Meteorological Research
  • 出版年:2016
  • 出版时间:February 2016
  • 年:2016
  • 卷:30
  • 期:1
  • 页码:76-92
  • 全文大小:7,761 KB
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  • 作者单位:Pengfei Lin 林鹏飞 (1)
    Hailong Liu 刘海龙 (1)
    Wei Xue 薛 巍 (2)
    Huimin Li 李慧岷 (2)
    Jinrong Jiang 姜金荣 (3)
    Mirong Song 宋米荣 (1)
    Yi Song 宋 毅 (1)
    Fuchang Wang 王夫常 (1)
    Minghua Zhang 张明华 (4) (5)

    1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
    2. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China
    3. Computer Network Information Center, Chinese Academy of Sciences, Beijing, 100190, China
    4. Stony Brook University, Stony Brook, NY, 11794, USA
    5. International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Beijing, 100029, China
  • 刊物类别:Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air
  • 刊物主题:Atmospheric Sciences; Meteorology; Geophysics and Environmental Physics; Atmospheric Protection/Air Quality Control/Air Pollution;
  • 出版者:The Chinese Meteorological Society
  • ISSN:2198-0934
  • 文摘
    In the present study, the LASG/IAP Climate system Ocean Model version 2 (LICOM2) was implemented to replace the original ocean component in the Community Earth System Model version 1.0.4 (CESM1) to form a new coupled model referred to as CESM1+LICOM2. The simulation results from a 300-yr preindustrial experiment by using this model were evaluated against both observations and the Flexible Global Ocean-Atmosphere-Land System Model with grid-atmospheric model version 2 (FGOALS-g2). It was found that CESM1+LICOM2 simulates well the mean features of the ocean, sea ice, and atmosphere, relative to models used in the Coupled Model Intercomparison Experiment (CMIP5), when compared with observations. The spatial distribution of SST bias in CESM1+LICOM2 is similar to that in the Community Climate System Model version 4 (CCSM4). The simulated climate variabilities, such as ENSO and Pacific decadal oscillation, are also reasonably simulated when compared with observations. The successful implementation of LICOM2 in the CESM1 framework greatly enhances the capability of LICOM2 in conducting high-resolution simulations and model tuning. Compared with FGOALS-g2, the simulations of both SST and Atlantic meridional overturning circulation are significantly improved in CESM1+LICOM2. The former can be mainly attributed to the atmospheric model, and the latter to the improvement in the parameterization of diapycnal mixing. The study provides a base to further improve the present version of LICOM and its functionalities in the coupled model FGOALS at both low and high resolutions.

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