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Seasonal Evolution of Subtropical Anticyclones in the Climate System Model FGOALS-s2


doi: 10.1007/s00376-012-2154-0

  • The simulation characteristics of the seasonal evolution of subtropical anticyclones in the Northern Hemisphere are documented for the Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2), developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, the Institute of Atmospheric Physics. An understanding of the seasonal evolution of the subtropical anticyclones is also addressed. Compared with the global analysis established by the European Centre for Medium-Range Forecasts, the ERA-40 global reanalysis data, the general features of subtropical anticyclones and their evolution are simulated well in both winter and summer, while in spring a pronounced bias in the generation of the South Asia Anticyclone(SAA) exists. Its main deviation in geopotential height from the reanalysis is consistent with the bias of temperature in the troposphere. It is found that condensation heating (CO) plays a dominant role in the seasonal development of the SAA and the subtropical anticyclone over the western Pacific (SAWP) in the middle troposphere. The CO biases in the model account for the biases in the establishment of the SAA in spring and the weaker strength of the SAA and the SAWP from spring to summer. CO is persistently overestimated in the central-east tropical Pacific from winter to summer, while it is underestimated over the area from the South China Sea to the western Pacific from spring to summer. Such biases generate an illusive anticyclonic gyre in the upper troposphere above the middle Pacific and delay the generation of the SAA over South Asia in April. In mid-summer, the simulated SAA is located farther north than in the ERA-40 data owing to excessively strong surface sensible heating (SE) to the north of the Tibetan Plateau. Whereas, the two surface subtropical anticyclones in the eastern oceans during spring to summer are controlled mainly by the surface SE over the two continents in the Northern Hemisphere, which are simulated reasonably well, albeit with their centers shifted westwards owing to the weaker longwave radiation cooling in the simulation associated with much weaker local stratiform cloud. Further improvements in the related parameterization of physical processes are therefore identified.
  • [1] REN Rongcai, YANG Yang, 2012: Changes in Winter Stratospheric Circulation in CMIP5 Scenarios Simulated by the Climate System Model FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1374-1389.  doi: 10.1007/s00376-012-1184-y
    [2] WANG Jun, BAO Qing, Ning ZENG, LIU Yimin, WU Guoxiong, JI Duoying, 2013: Earth System Model FGOALS-s2: Coupling a Dynamic Global Vegetation and Terrestrial Carbon Model with the Physical Climate System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1549-1559.  doi: 10.1007/s00376-013-2169-1
    [3] YANG Yang, REN Rongcai, Ming CAI, RAO Jian, 2015: Attributing Analysis on the Model Bias in Surface Temperature in the Climate System Model FGOALS-s2 through a Process-Based Decomposition Method, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 457-469.  doi: 10.1007/s00376-014-4061-z
    [4] BAO Qing, LIN Pengfei, ZHOU Tianjun, LIU Yimin, YU Yongqiang, WU Guoxiong, HE Bian, HE Jie, LI Lijuan, LI Jiandong, LI Yangchun, LIU Hailong, QIAO Fangli, SONG Zhenya, WANG Bin, WANG Jun, WANG Pengfei, WANG Xiaocong, WANG Zaizhi, WU Bo, WU Tongwen, XU Yongfu, YU Haiyang, ZHAO Wei, ZHENG Weipeng, and ZHOU Linjiong, , 2013: The Flexible Global Ocean-Atmosphere-Land System Model, Spectral Version 2: FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 561-576.  doi: 10.1007/s00376-012-2113-9
    [5] 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
    [6] ZHANG Lixia* and ZHOU Tianjun, , 2014: An Assessment of Improvements in Global Monsoon Precipitation Simulation in FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 165-178.  doi: 10.1007/s00376-013-2164-6
    [7] YANG Jing, BAO Qing, JI Duoying, GONG Daoyi, MAO Rui, ZHANG Ziyin, Seong-Joong KIM, 2014: Simulation and Causes of Eastern Antarctica Surface Cooling Related to Ozone Depletion during Austral Summer in FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 1147-1156.  doi: 10.1007/s00376-014-3144-1
    [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] 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
    [10] SONG Fengfei, and ZHOU Tianjun, 2013: FGOALS-s2 Simulation of Upper-level Jet Streams over East Asia: Mean State Bias and Synoptic-scale Transient Eddy Activity, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 739-753.  doi: 10.1007/s00376-012-2212-7
    [11] WU Bo, and ZHOU Tianjun, 2013: Relationships between the East AsianWestern North Pacific Monsoon and ENSO Simulated by FGOALS-s2, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 713-725.  doi: 10.1007/s00376-013-2103-6
    [12] HU Wenting, DUAN Anmin, and WU Guoxiong, 2013: Performance of FGOALS-s2 in Simulating Intraseasonal Oscillation over the South Asian Monsoon Region, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 607-620.  doi: 10.1007/s00376-013-2156-6
    [13] 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
    [14] ZHANG Jie, Laurent LI, ZHOU Tianjun, and XIN Xiaoge, 2013: Variation of Surface Temperature during the Last Millennium in a Simulation with the FGOALS-gl Climate System Model, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 699-712.  doi: 10.1007/s00376-013-2178-0
    [15] 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
    [16] JIA Binghao, XIE Zhenghui, ZENG Yujin, WANG Linying, WANG Yuanyuan, XIE Jinbo, XIE Zhipeng, 2015: Diurnal and Seasonal Variations of CO2 Fluxes and Their Climate Controlling Factors for a Subtropical Forest in Ningxiang, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 553-564.  doi: 10.1007/s00376-014-4069-4
    [17] 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
    [18] ZHANG Wen, HUANG Yao, SUN Wenjuan, YU Yongqiang, 2007: Simulating Crop Net Primary Production in China from 2000 to 2050 by Linking the Crop-C model with a FGOALS's Model Climate Change Scenario, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 845-854.  doi: 10.1007/s00376-007-0845-8
    [19] Weiwei WANG, Song YANG, Tuantuan ZHANG, Qingquan LI, Wei WEI, 2022: Sub-seasonal Prediction of the South China Sea Summer Monsoon Onset in the NCEP Climate Forecast System Version 2, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1969-1981.  doi: 10.1007/s00376-022-1403-0
    [20] Yuyang GUO, Yongqiang YU, Pengfei LIN, Hailong LIU, Bian HE, Qing BAO, Shuwen ZHAO, Xiaowei WANG, 2020: Overview of the CMIP6 Historical Experiment Datasets with the Climate System Model CAS FGOALS-f3-L, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1057-1066.  doi: 10.1007/s00376-020-2004-4

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Manuscript History

Manuscript received: 15 July 2012
Manuscript revised: 15 November 2012
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Seasonal Evolution of Subtropical Anticyclones in the Climate System Model FGOALS-s2

    Corresponding author: LIU Yimin; 
  • 1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
  • 2. Nanjing University of Information Science and Technology, Nanjing 210044

Abstract: The simulation characteristics of the seasonal evolution of subtropical anticyclones in the Northern Hemisphere are documented for the Flexible Global Ocean-Atmosphere-Land System model, Spectral Version 2 (FGOALS-s2), developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, the Institute of Atmospheric Physics. An understanding of the seasonal evolution of the subtropical anticyclones is also addressed. Compared with the global analysis established by the European Centre for Medium-Range Forecasts, the ERA-40 global reanalysis data, the general features of subtropical anticyclones and their evolution are simulated well in both winter and summer, while in spring a pronounced bias in the generation of the South Asia Anticyclone(SAA) exists. Its main deviation in geopotential height from the reanalysis is consistent with the bias of temperature in the troposphere. It is found that condensation heating (CO) plays a dominant role in the seasonal development of the SAA and the subtropical anticyclone over the western Pacific (SAWP) in the middle troposphere. The CO biases in the model account for the biases in the establishment of the SAA in spring and the weaker strength of the SAA and the SAWP from spring to summer. CO is persistently overestimated in the central-east tropical Pacific from winter to summer, while it is underestimated over the area from the South China Sea to the western Pacific from spring to summer. Such biases generate an illusive anticyclonic gyre in the upper troposphere above the middle Pacific and delay the generation of the SAA over South Asia in April. In mid-summer, the simulated SAA is located farther north than in the ERA-40 data owing to excessively strong surface sensible heating (SE) to the north of the Tibetan Plateau. Whereas, the two surface subtropical anticyclones in the eastern oceans during spring to summer are controlled mainly by the surface SE over the two continents in the Northern Hemisphere, which are simulated reasonably well, albeit with their centers shifted westwards owing to the weaker longwave radiation cooling in the simulation associated with much weaker local stratiform cloud. Further improvements in the related parameterization of physical processes are therefore identified.

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