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Volume 26 Issue 2

Mar.  2009

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2009 >  26(2): 265-274

Estimates of Anthropogenic CO2 Uptake in a Global Ocean Model

  • 1.

    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; Graduate University of Chinese Academy of Sciences, Beijing 100049


doi: 10.1007/s00376-009-0265-z

  • A global ocean general circulation model (L30T63) is employed to study the uptake and distribution of anthropogenic CO2 in the ocean. A subgrid-scale mixing scheme called GM90 is used in the model. There are two main GM90 parameters including isopycnal diffusivity and skew (thickness) diffusivity. Sensitivities of the ocean circulation and the redistribution of dissolved anthropogenic CO2 to these two parameters are examined. Two runs estimate the global oceanic anthropogenic CO2 uptake to be 1.64 and 1.73 Pg C yr-1 for the 1990s, and that the global ocean contained 86.8 and 92.7 Pg C of anthropogenic CO2 at the end of 1994, respectively. Both the total inventory and uptake from our model are smaller than the data-based estimates. In this presentation, the vertical distributions of anthropogenic CO2 at three meridional sections are discussed and compared with the available data-based estimates. The inventory in the individual basins is also calculated. Use of large isopycnal diffusivity can generally improve the simulated results, including the exchange flux, the vertical distribution patterns, inventory, storage, etc. In terms of comparison of the vertical distributions and column inventory, we find that the total inventory in the Pacific Ocean obtained from our model is in good agreement with the data-based estimate, but a large difference exists in the Atlantic Ocean, particularly in the South Atlantic. The main reasons are weak vertical mixing and that our model generates small exchange fluxes of anthropogenic CO2 in the Southern Ocean. Improvement in the simulation of the vertical transport and sea ice in the Southern Ocean is important in future work.
  • [1] LI Yangchun, XU Yongfu, 2012: Uptake and Storage of Anthropogenic CO2 in the Pacific Ocean Estimated Using Two Modeling Approaches, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 795-809.  doi: 10.1007/s00376-012-1170-4
    [2] Jin Xiangze, Zhang Xuehong, Zhou Tianjun, 1999: Fundamental Framework and Experiments of the Third Generation of IAP/ LASG World Ocean General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 197-215.  doi: 10.1007/BF02973082
    [3] Jiangbo JIN, Xiao DONG, Juanxiong HE, Yi YU, Hailong LIU, Minghua ZHANG, Qingcun ZENG, He ZHANG, Xin GAO, Guangqing ZHOU, Yaqi WANG, 2022: Ocean Response to a Climate Change Heat-Flux Perturbation in an Ocean Model and Its Corresponding Coupled Model, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 55-66.  doi: 10.1007/s00376-021-1167-y
    [4] Bohua Huang, James L. Kinter III, Paul S. Schopf, 2002: Ocean Data Assimilation Using Intermittent Analyses and Continuous Model Error Correction, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 965-992.  doi: 10.1007/s00376-002-0059-z
    [5] Xin LI, Chongyin LI, 2017: The Tropical Pacific-Indian Ocean Associated Mode Simulated by LICOM2.0, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1426-1436.  doi: 10.1007/s00376-017-6176-5
    [6] Xu Yongfu, 1992: The Buffer Capability of the Ocean to Increasing Atmospheric CO2, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 501-510.  doi: 10.1007/BF02677083
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    [10] Yu Yongqiang, Yu Rucong, Zhang Xuehong, Liu Hailong, 2002: A Flexible Coupled Ocean-Atmosphere General Circulation Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 169-190.  doi: 10.1007/s00376-002-0042-8
    [11] XU Yongfu, LI Yangchun, and CHU Min, 2013: A Global Ocean Biogeochemistry General Circulation Model and its Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 922-939.  doi: 10.1007/s00376-012-2162-0
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    • Manuscript History

    Manuscript received: 10 March 2009
    Manuscript revised: 10 March 2009
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Estimates of Anthropogenic CO2 Uptake in a Global Ocean Model

    • 1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029;State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029; Graduate University of Chinese Academy of Sciences, Beijing 100049
    • Manuscript received: 2009-03-10
    • Manuscript revised: 2009-03-10

    Abstract: A global ocean general circulation model (L30T63) is employed to study the uptake and distribution of anthropogenic CO2 in the ocean. A subgrid-scale mixing scheme called GM90 is used in the model. There are two main GM90 parameters including isopycnal diffusivity and skew (thickness) diffusivity. Sensitivities of the ocean circulation and the redistribution of dissolved anthropogenic CO2 to these two parameters are examined. Two runs estimate the global oceanic anthropogenic CO2 uptake to be 1.64 and 1.73 Pg C yr-1 for the 1990s, and that the global ocean contained 86.8 and 92.7 Pg C of anthropogenic CO2 at the end of 1994, respectively. Both the total inventory and uptake from our model are smaller than the data-based estimates. In this presentation, the vertical distributions of anthropogenic CO2 at three meridional sections are discussed and compared with the available data-based estimates. The inventory in the individual basins is also calculated. Use of large isopycnal diffusivity can generally improve the simulated results, including the exchange flux, the vertical distribution patterns, inventory, storage, etc. In terms of comparison of the vertical distributions and column inventory, we find that the total inventory in the Pacific Ocean obtained from our model is in good agreement with the data-based estimate, but a large difference exists in the Atlantic Ocean, particularly in the South Atlantic. The main reasons are weak vertical mixing and that our model generates small exchange fluxes of anthropogenic CO2 in the Southern Ocean. Improvement in the simulation of the vertical transport and sea ice in the Southern Ocean is important in future work.

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