Skip to main content
Log in

Seasonal variability of thermocline in the Yellow Sea

  • Published:
Chinese Journal of Oceanology and Limnology Aims and scope Submit manuscript

Abstract

Based on the MASNUM wave-tide-circulation coupled numerical model, seasonal variability of thermocline in the Yellow Sea was simulated and compared with in-situ observations. Both simulated mixed layer depth (MLD) and thermocline intensity have similar spatial patterns to the observations. The simulated maximum MLD are 8 m and 22 m, while the corresponding observed values are 13 m and 27 m in July and October, respectively. The simulated thermocline intensity are 1.2°C/m and 0.5°C/m in July and October, respectively, which are 0.6°C/m less than those of the observations. It may be the main reason why the simulated thermocline is weaker than the observations that the model vertical resolution is less precise than that of the CTD data which is 1 m. Contours of both simulated and observed thermocline intensity present a circle in general. The wave-induced mixing plays a key role in the formation of the upper mixed layer in spring and summer. Tidal mixing enhances the thermocline intensity. Buoyancy-driven mixing destroys the thermocline in autumn and keeps the vertical temperature uniform in winter.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Blumberg, A. F. and G. L. Mellor, 1987. A description of a three-dimensional coastal ocean model.In: N. S. Heaps, ed, Three dimensional coastal ocean models. American Geophysical Union, Washington D. C., p. 1–16.

    Google Scholar 

  • Craig, P. D. and M. L. Banner, 1994. Modeling wave-enhanced turbulence in the ocean surface layer.J. Phys. Oceanogr. 24: 2546–2559.

    Article  Google Scholar 

  • Ezer, T., 2000. On the seasonal mixed layer simulated by a basin-scale ocean model and the Mellor-Yamada turbulence scheme.J. Geophys. Res. 105 (C7): 16843–16855.

    Article  Google Scholar 

  • Fang, G. and T. Ichiye, 1983. On the vertical structure of tidal currents in a homogeneous sea.Geophys. J. R. Astr. Soc. 73: 65–82.

    Google Scholar 

  • Harney, R., 1971. Surface thermal boundary condition for ocean circulation models.J. Phys. Oceanogr. 1: 241–248.

    Article  Google Scholar 

  • Hu, D., M. Cui, Y. Li and T. Qu, 1991. On the Yellow Sea cold water mass related circulation.Yellow Sea Researc. 4: 79–88.

    Google Scholar 

  • Kantha, L. H. and C. A. Clayson, 1994. An improved mixed layer model for geophysical applications.J. Geophys. Res. 99: 25235–25266.

    Article  Google Scholar 

  • Lee, S. H. and R. C. Beardsley, 1999. Influence of stratification on residual tidal currents in the Yellow Sea.J. Geophys. Res. 104(C7), 15679–15701.

    Article  Google Scholar 

  • Levitus, S., 1982. Climatological atlas of the world ocean. NOAA Prof. Paper No. 13. U. S. Govt. Printing Office, 173 pp. plus 17 microfiche.

  • Ma, J. and F. Qiao, 2004. Simulation and analysis on the seasonal variability of salinity in the Yellow Sea.Chinese J. Oceanol. Limnol. 22(3): 306–313.

    Google Scholar 

  • Martin, P. J., 1985. Simulation of the mixed layer at OWS November and Papa with several models.J. Geophys. Res. 90: 581–597.

    Article  Google Scholar 

  • Mellor, G. L., 2001. One-dimensional, ocean surface layer modeling. a problem and a solution.J. Phys. Oceanogr. 31: 790–809.

    Article  Google Scholar 

  • Mellor, G., 2003. The three-dimensional current and wave equations.J. Phys. Oceanogr. 33: 1978–1989.

    Article  Google Scholar 

  • Mellor, G. L. and T. Yamada, 1982. Development of a turbulence closure model for geophysical fluid problems.Rev. Geophys. and Space Phys. 20: 851–875.

    Article  Google Scholar 

  • Qi, J. and Y. Su, 1998. Numerical simulation of the tide-induced continental front in the Yellow Sea.Oceanol. et Limnol. 29(3): 247–254. (in Chinese with English abstract)

    Google Scholar 

  • Qiao, F., S. Chen, C. Li, W. Zhao and Z. Pan, 1999. The study of wind, wave, current extreme parameters and climatic characters of the South China Sea.Journal of Marine Technology Society 33 (1): 61–68.

    Article  Google Scholar 

  • Qiao, F., Y. Yuan, Y. Yang, Q. Zheng, C. Xia and J. Ma, 2004a. Wave-induced mixing in the upper ocean: Distribution and application to a global ocean circulation model.Geophys. Res. Lett. 31: L11303, doi: 10.1029/2004GL019824.

    Article  Google Scholar 

  • Qiao F., J. Ma, Y. Yang and Y. Yuan, 2004b. Simulation of the temperature and salinity along 36°N in the Yellow Sea with a wave-current coupled model.Journal of the Korean Society of Oceanography. 39(1): 35–45.

    Google Scholar 

  • Qiao, F., Y. Yuan, T. Ezer, C. Xia, Y. Yang and J. Ma, 2004c. A three-dimensional, surface wave-ocean circulation coupled model: System description and initial testing.J. Phys. Oceanogr. (Submitted)

  • Xia, C., F. Qiao and Y. Yuan, 2004. Numerical simulation of the general circulation. Submitted toChinese Journal of Computational Physics. (in Chinese)

  • Yu, W., F. Qiao, Y. Yuan and Z. Pan, 1997. Numerical modeling of wind and waves for Typhoon Betty (8710).Acta Ocenol. Sin. 16 (4): 459–473.

    Google Scholar 

  • Yuan, Y., Z. Pan, F. Hua, L. Sun, 1991. LAGDF-WAM numerical wave model.Acta Ocenol. Sin. 10: 483–488.

    Google Scholar 

  • Yuan Y. 1979. The circulation of the Yellow Sea Cold Water Mass.Oceanol. et Limnol. Sin. 10: 187–196.

    Google Scholar 

  • Yuan, Y., F. Qiao, F. Hua and Z. Wan, 1999. The development of a coastal circulation numerical model: 1. Wave-induced mixing and wave-current interaction.J. Hydrodynamics, Ser. A.14(4B): 1–8. (in Chinese)

    Google Scholar 

  • Yuan, Y. and H. Li, 1993. Research on the circulation structure and forming mechanism of the Yellow Sea cold water mass.Science in China 23 (1): 93–103. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Supported by the National Basic Research Program of China (G1999043809) and the National Science Foundation of China (No. 49736190).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fangli, Q., Changshui, X., Jianwei, S. et al. Seasonal variability of thermocline in the Yellow Sea. Chin. J. Ocean. Limnol. 22, 299–305 (2004). https://doi.org/10.1007/BF02842563

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02842563

Key words

Navigation