Circulation in the South China Sea is in a state of forced oscillation: Results from a simple reduced gravity model with a closed boundary

Rui Xin Huang Hui Zhou

Rui Xin Huang, Hui Zhou. Circulation in the South China Sea is in a state of forced oscillation: Results from a simple reduced gravity model with a closed boundary[J]. Acta Oceanologica Sinica, 2022, 41(7): 1-12. doi: 10.1007/s13131-022-2013-5
Citation: Rui Xin Huang, Hui Zhou. Circulation in the South China Sea is in a state of forced oscillation: Results from a simple reduced gravity model with a closed boundary[J]. Acta Oceanologica Sinica, 2022, 41(7): 1-12. doi: 10.1007/s13131-022-2013-5

doi: 10.1007/s13131-022-2013-5

Circulation in the South China Sea is in a state of forced oscillation: Results from a simple reduced gravity model with a closed boundary

Funds: The Strategic Priority Research Program of the Chinese Academy of Sciences under contract No. XDB42000000; the National Natural Science Foundation of China under contract No. 41876009.
More Information
    • 关键词:
    •  / 
    •  / 
    •  / 
    •  / 
    •  / 
    •  
  • Figure  1.  Idealized monthly mean wind stress for the model. a. Zonal wind (independent of longitude); b. meridional wind (independent of latitude); based on Global Ocean Data Assimilation System data.

    Figure  2.  The time-latitude diagram of the climatological monthly mean Ekman pumping rate for the model forced by the zonally mean zonal wind stress only (a); the annual mean Ekman pumping rate (b); the basin mean Ekman pumping rate (c).

    Figure  3.  Layer depth in January (a−c) and July (d−f) for the simple model forced by zonally mean zonal wind (a, d, Exp. 1), by zonally mean zonal wind and meridionally mean meridional wind (b, e , Exp. 2) and 2D wind (c, f , Exp. 3).

    Figure  4.  Western boundary current transport (a−c) and eastern boundary current (d−f) for a simple model forced by zonally mean zonal wind (a, d, Exp. 1), by zonally mean zonal wind and meridionally mean meridional wind (b, e, Exp. 2) and 2D wind (c, f, Exp. 3). The magenta curves indicate the zero contours (1 Sv=106 m3/s).

    Figure  5.  Rossby wave speed (a−c) and the cross-basin time (d−f) for the model located between 0°–16°N (Exp. 4, a, d); the model located between 6°–22°N for Exp. 1 (b, e) and the model located between 16°–32°N for Exp. 5 (c, f).

    Figure  6.  Time evolution of layer depth for the model forced by zonal wind stress only (Exp. 1). The dashed and solid red lines indicate the corresponding signal speed.

    Figure  7.  Volumetric transport of the western boundary current (a−c) and eastern boundary current (d−f). Left column for the model located between 0°–16°N (Exp. 4); middle column for the model located between 6°–22°N (Exp. 1); right column for the model located between 16°–32°N (Exp. 5). The magenta curves indicate the zero contours (1 Sv=106 m3/s).

    Figure  8.  Experiments forced by idealized monthly zonal/meridional wind (Exp. 2). a. Total volumetric anomaly at each latitude band; b. zonally integrated monthly mean meridional volumetric flux (1 Sv=106 m3/s); bar is the mean thickness of the upper layer.

    Figure  9.  Experiments forced by idealized monthly zonal/meridional wind (Exp. 2). a. Total volumetric anomaly at each longitude band; b. meridionally integrated monthly mean zonal volumetric flux (1 Sv=106 m3/s).

    Figure  10.  Annual cycle of mechanic energy balance. a. For the model forced by zonal wind stress only (Exp. 1); b. for the model forced by two-dimensional zonal/meridional wind (Exp. 3).

    Figure  11.  Vorticity balance for the model forced by zonal wind stress only (Exp. 1).

    Figure  12.  Rossby wave speed (a) and the cross-basin time (b) for the models with the same meridional location, but different zonal width (Exps 1, 6, 7).

    Figure  13.  Latitudinal distribution of volume transport based on models with the same meridional range of 6°–22°N, but different zonal width of 10° (Exp. 1, a, d), 60° (Exp. 6, b, e), and 480° (Exp. 7, c, f) for western boundary current (a−c) and eastern boundary current (d−f) (1 Sv=106 m3/s).

    Figure  14.  Time-latitude diagram of volumetric transport of the western boundary current (a−c) and eastern boundary current (d−f) for models with the same meridional range of 6°–22°N , but different zonal width of 10° (Exp. 1, a, d), 60° (Exp. 6, b, e), and 480° (Exp. 7, c, f). The magenta curves indicate the zero contours (1 Sv=106 m3/s).

    Table  1.   Idealized wind stress data used in the model experiments

    Zonally mean zonal
    wind stress
    Zonally mean zonal wind stress and meridionally
    mean meridional wind stress
    Two-dimensional wind stress
    Expression$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $,$ {\overline {{\tau ^y}\left( {x,m} \right)} ^y} $${ {\tau ^x}\left( {x,y,m} \right),{\tau ^y}\left( {x,y,m} \right)}$
    Note: m=(1, …, 12) is the month.
    下载: 导出CSV

    Table  2.   Experiment design

    ExperimentsMeridional rangeZonal rangeWind stressRun duration/a
    Exp. 16°–22°N110°–120°E$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $20
    Exp. 26°–22°N110°–120°E$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $,$ {\overline {{\tau ^y}\left( {x,m} \right)} ^y} $20
    Exp. 36°–22°N110°–120°E${ {\tau ^x}\left( {x,y,m} \right),{\tau ^y}\left( {x,y,m} \right)}$20
    Exp. 40°–16°N110°–120°E$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $20
    Exp. 516°–32°N110°–120°E$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $40
    Exp. 66°–22°N110°–170°E$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $60
    Exp. 76°–22°N480°$ {\overline {{\tau ^x}\left( {y,m} \right)} ^x} $400
    Note: Here we expand the width of the model ocean basin to an unrealistic 480°.
    下载: 导出CSV

    Table  3.   Volumetric transport of the western/eastern boundary current (WBC/EBC) for three geographic settings of the model ocean

    Western boundary transportEastern boundary transport
    ExperimentExp. 1Exp. 4Exp. 5Exp. 1Exp. 4Exp. 5
    Basin location6°–22°N0°–16°N16°–32°N6°–22°N0°–16°N16°–32°N
    Maximum/Sv2.782.981.690.540.620.55
    Minimum/Sv−4.35−4.22−4.44−0.64−0.57−0.73
    下载: 导出CSV
  • [1] Cai Shuqun, Long Xiaomin, Wu Renhao, et al. 2008. Geographical and monthly variability of the first baroclinic Rossby radius of deformation in the South China Sea. Journal of Marine Systems, 74(1–2): 711–720. doi: 10.1016/j.jmarsys.2007.12.008
    [2] Chu P C, Edmons N L, Fan Chenwu. 1999. Dynamical mechanisms for the South China Sea seasonal circulation and thermohaline variabilities. Journal of Physical Oceanography, 29(11): 2971–2989. doi: 10.1175/1520-0485(1999)029<2971:DMFTSC>2.0.CO;2
    [3] Fang Wendong, Fang Guohong, Shi Ping, et al. 2002. Seasonal structures of upper layer circulation in the southern South China Sea from in situ observations. Journal of Geophysical Research: Oceans, 107(C11): 3202. doi: 10.1029/2002JC001343
    [4] Gan Jianping, Li H, Curchitser E N, et al. 2006. Modeling South China Sea circulation: Response to seasonal forcing regimes. Journal of Geophysical Research: Oceans, 111(C6): C06034
    [5] He Zhigang, Lyu Kewei, Quan Qi. 2020. The South China Sea western boundary current. In: Hu J, Ho C R, Xie L, et al., eds. Regional Oceanography of the South China Sea. Singapore: World Scientific, 77–99
    [6] Huang Rui xin. 1986. Numerical simulation of wind-driven circulation in a subtropical/subpolar basin. Journal of Physical Oceanography, 16(10): 1636–1650. doi: 10.1175/1520-0485(1986)016<1636:NSOWDC>2.0.CO;2
    [7] Huang Rui xin. 2010. Ocean Circulation: Wind-Driven and Thermohaline Processes. Cambridge: Cambridge University Press
    [8] Liang Xiangshan. 2017. The seasonally varying monsoon wind may suppress the western boundary current in the South China Sea. Oceanography & Fisheries Open Access Journal, 3(1): 555601
    [9] Pedlosky J. 1965. A study of the time dependent ocean circulation. Journal of the Atmospheric Sciences, 22(3): 267–272. doi: 10.1175/1520-0469(1965)022<0267:ASOTTD>2.0.CO;2
    [10] Qu Tangdong. 2000. Upper-layer circulation in the South China Sea. Journal of Physical Oceanography, 30(6): 1450–1460. doi: 10.1175/1520-0485(2000)030<1450:ULCITS>2.0.CO;2
    [11] Shaw P T, Chao S Y, Fu L L. 1999. Sea surface height variations in the South China Sea from satellite altimetry. Oceanologica Acta, 22(1): 1–17. doi: 10.1016/S0399-1784(99)80028-0
    [12] Stommel H. 1948. The westward intensification of wind-driven ocean currents. Eos, Transactions American Geophysical Union, 29(2): 202–206
    [13] Wang Guihua, Chen Dake, Su Jilan. 2006. Generation and life cycle of the dipole in the South China Sea summer circulation. Journal of Geophysical Research: Oceans, 111: C06002
    [14] Wyrtki K. 1961. Physical oceanography of the Southeast Asian waters. La Jolla: The University of California
    [15] Yang Haijun, Liu Qinyu. 2003. Forced Rossby wave in the northern South China Sea. Deep-Sea Research Part I: Oceanographic Research Papers, 50(7): 917–926. doi: 10.1016/S0967-0637(03)00074-8
    [16] Yang Haijun, Liu Qinyu, Liu Zhengyu, et al. 2002. A general circulation model study of the dynamics of the upper ocean circulation of the South China Sea. Journal of Geophysical Research: Oceans, 107(C7): 22-1–22-14
    [17] Yang Jiayan, Price James F. 2000. Water-mass formation and potential vorticity balance in an abyssal ocean circulation. Journal of Marine Research, 58: 789−808.
  • 加载中
图(14) / 表(3)
计量
  • 文章访问数:  399
  • HTML全文浏览量:  119
  • PDF下载量:  25
  • 被引次数: 0
出版历程
  • 收稿日期:  2021-06-10
  • 录用日期:  2021-11-26
  • 网络出版日期:  2022-04-29
  • 刊出日期:  2022-07-08

目录

    /

    返回文章
    返回