Advertisement

Advances in Atmospheric Sciences

, Volume 2, Issue 2, pp 189–199 | Cite as

The numerical experiments on dynamic forcing by the Tibetan Plateau for various zonal flows

  • Chen Yuxiang 
  • Ji Liren 
  • Shen Rujin 
Article

Abstract

In this paper, the dynamic disturbances to various basic zonal currents caused by the Tibetan Plateau are simulated by means of a three-level primitive equation model, in which σ is used as the vertical coordinate. Four types of currents have been used, i. e. the barotropic homogeneous current, barotropic jet stream, baroclinic current and the zonal mean current in summer. The results are helpful to understand the dynamic effects of the Tibetan Plateau on the general circulation over East Asia.

Keywords

Tibetan Plateau Dynamic Effect West Wind Zonal Flow Maximum Wind Speed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Charney, J. G. and Eliassen, A.,Tellus,1(1949), 38–54.CrossRefGoogle Scholar
  2. [2]
    30(1959), 265–275.Google Scholar
  3. [3]
    28(1957), 122–140.Google Scholar
  4. [4]
    28(1957), 303–313.Google Scholar
  5. [5]
    Okamura, Y.,Papers Met. Geophys.,27(1976), 1–20.Google Scholar
  6. [6]
    Nakamara, H.,J. Met. Soc. Japan,56(1978), 317–367.Google Scholar
  7. [7]
    1979, 234–245.Google Scholar
  8. [8]
    5(1982), 464–472.Google Scholar
  9. [9]
    1(1976), 39–51.Google Scholar
  10. [10]
    1984, 236–244.Google Scholar
  11. [11]
    Berkofsky, L. and Bertont, E. A.,Bull. Amer. Met. Soc.,36(1955), 7, 350–354.Google Scholar
  12. [12]
    7(1983), 145–152.Google Scholar

Copyright information

© Advances in Atmospheric Sciences 1985

Authors and Affiliations

  • Chen Yuxiang 
    • 1
  • Ji Liren 
    • 1
  • Shen Rujin 
    • 1
  1. 1.Institute of Atmospheric PhysicsAcademia SinicaBeijing

Personalised recommendations