Advances in Atmospheric Sciences

, Volume 30, Issue 3, pp 543–560

The flexible global ocean-atmosphere-land system model, Grid-point Version 2: FGOALS-g2

Authors

  • Lijuan Li李立娟
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Pengfei Lin林鹏飞
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Yongqiang Yu俞永强
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Tianjun Zhou周天军
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Li Liu刘 利
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Jiping Liu刘骥平
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Qing Bao包 庆
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Shiming Xu徐世明
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Wenyu Huang黄文誉
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Kun Xia夏 坤
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Ye Pu普 业
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Li Dong董 理
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Si Shen申 思
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Yimin Liu刘屹岷
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Ning Hu胡 宁
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Mimi Liu刘咪咪
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Wenqi Sun孙文奇
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Xiangjun Shi史湘军
    • Climate Center, Hebei Meteorological Administration
  • Weipeng Zheng郑伟鹏
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Bo Wu吴 波
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Mirong Song宋米荣
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Hailong Liu刘海龙
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Xuehong Zhang张学洪
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Guoxiong Wu吴国雄
    • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences
  • Wei Xue薛 巍
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Xiaomeng Huang黄小猛
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Guangwen Yang杨广文
    • Ministry of Education Key Laboratory for Earth System Modeling, Center of Earth System ScienceTsinghua University
  • Zhenya Song宋振亚
    • First Institute of OceanographyState Oceanic Administration
  • Fangli Qiao乔方利
    • First Institute of OceanographyState Oceanic Administration
Article

DOI: 10.1007/s00376-012-2140-6

Cite this article as:
Li, L., Lin, P., Yu, Y. et al. Adv. Atmos. Sci. (2013) 30: 543. doi:10.1007/s00376-012-2140-6

Abstract

This study mainly introduces the development of the Flexible Global Ocean-Atmosphere-Land System Model: Grid-point Version 2 (FGOALS-g2) and the preliminary evaluations of its performances based on results from the pre-industrial control run and four members of historical runs according to the fifth phase of the Coupled Model Intercomparison Project (CMIP5) experiment design. The results suggest that many obvious improvements have been achieved by the FGOALS-g2 compared with the previous version,FGOALS-g1, including its climatological mean states, climate variability, and 20th century surface temperature evolution. For example,FGOALS-g2 better simulates the frequency of tropical land precipitation, East Asian Monsoon precipitation and its seasonal cycle, MJO and ENSO, which are closely related to the updated cumulus parameterization scheme, as well as the alleviation of uncertainties in some key parameters in shallow and deep convection schemes, cloud fraction, cloud macro/microphysical processes and the boundary layer scheme in its atmospheric model. The annual cycle of sea surface temperature along the equator in the Pacific is significantly improved in the new version. The sea ice salinity simulation is one of the unique characteristics of FGOALS-g2, although it is somehow inconsistent with empirical observations in the Antarctic.

Key words

FGOALS-g2climatological mean stateclimate variability20th century climatemonsoon

Copyright information

© Chinese National Committee for International Association of Meteorology and Atmospheric Sciences, Institute of Atmospheric Physics, Science Press and Springer-Verlag Berlin Heidelberg 2013