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Oceanic Climatology in the Coupled Model FGOALS-g2: Improvements and Biases


doi: 10.1007/s00376-012-2137-1

  • The present study examines simulated oceanic climatology in the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) forced by historical external forcing data. The oceanic temperatures and circulations in FGOALS-g2 were found to be comparable to those observed, and substantially improved compared to those simulated by the previous version, FGOALS-g1.0. Compared with simulations by FGOALS-g1.0, the shallow mixed layer depths were better captured in the eastern Atlantic and Pacific Ocean in FGOALS-g2. In the high latitudes of the Northern Hemisphere, the cold biases of SST were about 1oC5oC smaller in FGOALS-g2. The associated sea ice distributions and their seasonal cycles were more realistic in FGOALS-g2. The pattern of Atlantic Meridional Overturning Circulation (AMOC) was better simulated in FGOALS-g2, although its magnitude was larger than that found in observed data. The simulated Antarctic Circumpolar Current (ACC) transport was about 140 Sv through the Drake Passage, which is close to that observed. Moreover, Antarctic Intermediate Water (AAIW) was better captured in FGOALS-g2. However, large SST cold biases (3oC) were still found to exist around major western boundary currents and in the Barents Sea, which can be explained by excessively strong oceanic cold advection and unresolved processes owing to the coarse resolution. In the Indo-Pacific warm pool, the cold biases were partly related to the excessive loss of heat from the ocean. Along the eastern coast in the Atlantic and Pacific Oceans, the warm biases were due to overestimation of shortwave radiation. In the Indian Ocean and Southern Ocean, the surface fresh biases were mainly due to the biases of precipitation. In the tropical Pacific Ocean, the surface fresh biases (2 psu) were mainly caused by excessive precipitation and oceanic advection. In the Indo-Pacific Ocean, fresh biases were also found to dominate in the upper 1000 m, except in the northeastern Indian Ocean. There were warm and salty biases (3oC4oC and 12 psu) from the surface to the bottom in the Labrador Sea, which might be due to large amounts of heat transport and excessive evaporation, respectively. For vertical structures, the maximal biases of temperature and salinity were found to be located at depths of $$600 m in the Arctic Ocean, and their values exceeded 4oC and 2 psu, respectively.
  • [1] HUANG Wenyu, WANG Bin*, LI Lijuan, DONG Li, LIN Pengfei, YU Yongqiang, ZHOU Tianjun, LIU Li, XU Shiming, XIA Kun, PU Ye, WANG Lu, LIU Mimi, SHEN Si, HU Ning, WANG Yong, SUN Wenqi, and DONG Fang, 2014: Variability of Atlantic Meridional Overturning Circulation in FGOALS-g2, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 95-109.  doi: 10.1007/s00376-013-2155-7
    [2] XU Shiming, SONG Mirong, LIU Jiping, WANG Bin, LI Lijuan, HUANG Wenyu, LIU Li, XIA Kun, XUE Wei, PU Ye, DONG Li, SHEN Si, HU Ning, LIU Mimi, and SUN Wenqi, 2013: Simulation of Sea Ice in FGOALS-g2: Climatology and Late 20th Century Changes, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 658-673.  doi: 10.1007/s00376-013-2158-4
    [3] XU Tengfei, YUAN Dongliang, YU Yongqiang, and ZHAO Xia, 2013: An assessment of Indo-Pacific oceanic channel dynamics in the FGOALS-g2 coupled climate system model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 997-1016.  doi: 10.1007/s00376-013-2131-2
    [4] ZHOU Tianjun, SONG Fengfei, and CHEN Xiaolong, 2013: Historical Evolution of Global and Regional Surface Air Temperature Simulated by FGOALS-s2 and FGOALS-g2: How Reliable Are the Model Results?, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 638-657.  doi: 10.1007/s00376-013-2205-1
    [5] LI Lijuan, LIN Pengfei, YU Yongqiang, WANG Bin, ZHOU Tianjun, LIU Li, LIU Jiping, BAO Qing, XU Shiming, HUANG Wenyu, XIA Kun, PU Ye, DONG Li, SHEN Si, LIU Yimin, HU Ning, LIU Mimi, SUN Wenqi, SHI Xiangjun, ZHENG Weipeng, WU Bo, SONG Mirong, LIU Hailong, ZHANG Xuehong, WU Guoxiong, XUE Wei, HUANG Xiaomeng, YANG Guangwen, SONG Zhenya, and QIAO Fangli, 2013: The Flexible Global Ocean-Atmosphere-Land System Model, Grid-point Version 2: FGOALS-g2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 543-560.  doi: 10.1007/s00376-012-2140-6
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    [7] XIAO Chuliang and ZHANG Yaocun, , 2013: Simulation of the Westerly Jet Axis in Boreal Winter by the Climate System Model FGOALS-g2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 754-765.  doi: 10.1007/s00376-012-2167-8
    [8] LIN Pengfei, YU Yongqiang, LIU Hailong, 2013: Long-term Stability and Oceanic Mean State Simulated by the Coupled Model FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 175-192.  doi: 10.1007/s00376-012-2042-7
    [9] Yuyang GUO, Yongqiang YU, Pengfei LIN, Hailong LIU, Bian HE, Qing BAO, Bo AN, Shuwen ZHAO, Lijuan HUA, 2020: Simulation and Improvements of Oceanic Circulation and Sea Ice by the Coupled Climate System Model FGOALS-f3-L, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1133-1148.  doi: 10.1007/s00376-020-0006-x
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Manuscript received: 25 June 2012
Manuscript revised: 14 October 2012
通讯作者: 陈斌, bchen63@163.com
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Oceanic Climatology in the Coupled Model FGOALS-g2: Improvements and Biases

    Corresponding author: LIN Pengfei; 
  • 1. State Key Laboratory of Numerical Modelling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

Abstract: The present study examines simulated oceanic climatology in the Flexible Global Ocean-Atmosphere-Land System model, Grid-point Version 2 (FGOALS-g2) forced by historical external forcing data. The oceanic temperatures and circulations in FGOALS-g2 were found to be comparable to those observed, and substantially improved compared to those simulated by the previous version, FGOALS-g1.0. Compared with simulations by FGOALS-g1.0, the shallow mixed layer depths were better captured in the eastern Atlantic and Pacific Ocean in FGOALS-g2. In the high latitudes of the Northern Hemisphere, the cold biases of SST were about 1oC5oC smaller in FGOALS-g2. The associated sea ice distributions and their seasonal cycles were more realistic in FGOALS-g2. The pattern of Atlantic Meridional Overturning Circulation (AMOC) was better simulated in FGOALS-g2, although its magnitude was larger than that found in observed data. The simulated Antarctic Circumpolar Current (ACC) transport was about 140 Sv through the Drake Passage, which is close to that observed. Moreover, Antarctic Intermediate Water (AAIW) was better captured in FGOALS-g2. However, large SST cold biases (3oC) were still found to exist around major western boundary currents and in the Barents Sea, which can be explained by excessively strong oceanic cold advection and unresolved processes owing to the coarse resolution. In the Indo-Pacific warm pool, the cold biases were partly related to the excessive loss of heat from the ocean. Along the eastern coast in the Atlantic and Pacific Oceans, the warm biases were due to overestimation of shortwave radiation. In the Indian Ocean and Southern Ocean, the surface fresh biases were mainly due to the biases of precipitation. In the tropical Pacific Ocean, the surface fresh biases (2 psu) were mainly caused by excessive precipitation and oceanic advection. In the Indo-Pacific Ocean, fresh biases were also found to dominate in the upper 1000 m, except in the northeastern Indian Ocean. There were warm and salty biases (3oC4oC and 12 psu) from the surface to the bottom in the Labrador Sea, which might be due to large amounts of heat transport and excessive evaporation, respectively. For vertical structures, the maximal biases of temperature and salinity were found to be located at depths of $$600 m in the Arctic Ocean, and their values exceeded 4oC and 2 psu, respectively.

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