Skip to main content
SpringerLink
Log in

Sensitivity of simulated tropical intraseasonal oscillations to cumulus schemes

  • Research Paper
  • Published:
Science China Earth Sciences Aims and scope Submit manuscript

Abstract

The sensitivity of simulated tropical intraseasonal oscillations (ISO) to different cumulus parameterization schemes was analyzed using an atmospheric general circulation model (latest version-SAMIL2.2.3) developed at the Laboratory for Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG) at the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences. Results show that the basic features of tropical climatological intraseasonal oscillations (CISO) can be captured using all three cumulus schemes. The CISO simulated by the Tiedtke scheme was found to be more realistic than that of the Manabe and Zhang-McFarlane schemes. The results of simulated transient intraseasonal oscillations (TISO) indicate that although the Tiedtke and the Zhang-McFarlane schemes in the new version SAMIL2.2.3 have been adjusted according to different problems, only the latter can simulate the eastward propagation of the 27–50-day TISO mode. It may be associated with the more realistic diabatic heating profile simulated by the Zhang-McFarlane scheme. In addition, the Manabe scheme in SAMIL2.2.3 is the same as that in the prior version SAMIL2.08. However, some aspects of the physical process, such as the radiation scheme and aerosol condition, have been changed. Conversely the eastward propagation from 100°E to the west of the tropical 27–50-day TISO mode only can be simulated using the Manabe scheme of SAMIL 2.08. Consequently, not all the improvements of physical parameterization schemes work well in every respect. The coordinated developments between dynamic frame and physical processes, and among different physical processes, are important methods that may be used to improve the model.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Madden R A, Julian P R. Detection of a 40–50-day oscillation in the zonal wind in the tropical Pacific. J Atmos Sci, 1971, 28: 702–708

    Article  Google Scholar 

  2. Madden R A, Julian P R. Description of global-scale circulation cells in the tropics with a 40–50-day period. J Atmos Sci, 1972, 29: 1109–1123

    Article  Google Scholar 

  3. Madden R A, Julian P R. Observations of the 40–50-day tropical oscillation—A review. Mon Weather Rev, 1994, 122: 814–837

    Article  Google Scholar 

  4. Lorenc A C. The evolution of planetary scale 200 mb divergence flow during the FGGE year. Q J R Meteorol Soc, 1984, 110: 427–441

    Article  Google Scholar 

  5. Weickmann K M, Lussky G R, Kutzbach J E. Intraseasonal (30–60 days) fluctuations of outgoing long-wave radiation and 250 mb stream function during northern winter. Mon Weather Rev, 1985, 113: 941–961

    Article  Google Scholar 

  6. Murakami T, Chen L X, Xie A, et al. Eastward propagation of 30–60-day perturbations as revealed from outgoing long-wave radiation data. J Atmos Sci, 1986, 43: 961–971

    Article  Google Scholar 

  7. Krishnamurti T N, Bhalme H N. Oscillation of a monsoon system, Part I: Observational aspects. J Atmos Sci, 1976, 33: 1937–1954

    Article  Google Scholar 

  8. Li C Y, Zhou Y P. Tropical atmospheric quasi-two weeks (10–20 days) oscillation (in Chinese). Chin J Atmos Sci, 1995, 19: 435–444

    Google Scholar 

  9. Yasunari T. A quasi-stationary appearance of 30 to 40 day period in the cloudiness fluctuations during the summer monsoon over India. J Meteorol Soc Jpn, 1980, 58: 225–229

    Google Scholar 

  10. Liebmann B, Hendon H H, Glick J D. The relationship between tropical cyclones of the western Pacific and Indian Oceans and the Madden- Julian Oscillation. J Meteorol Soc Jpn, 1994, 72: 401–411

    Google Scholar 

  11. Li C Y, Zhou Y P. Relationship between intraseasonal oscillation in the tropical atmosphere and ENSO (in Chinese). Chin J Geophys. 1994, 37: 17–26

    Google Scholar 

  12. Li G L, Li C Y. Activity of atmospheric intraseasonal oscillation and El Niño (in Chinese). J Tropical Meteorol, 1998, 14: 54–62

    Google Scholar 

  13. Hendon H H, Liebmann B, Newman M, et al. Medium-range forecasts errors associated with active episodes of the Madden-Julian Oscillation. Mon Weather Rev, 2000, 128: 69–86

    Article  Google Scholar 

  14. Slingo J M, Coauthors. Intraseasonal oscillation in 15 atmospheric general circulation models: Results from an AMIP diagnostic subproject. Clim Dyn, 1996, 12: 325–357

    Article  Google Scholar 

  15. Jia X L, Li C Y. Sensitivity of numerically simulated tropical intraseasonal oscillations to cumulus schemes (in Chinese). Acta Meteorol Sin, 2007, 65: 837–855

    Google Scholar 

  16. Chao W C, Deng L. Tropical intraseasonal oscillation, supper cloud clusters, and cumulus convection schemes. Part II: 3D aquaplanet simulations. J Atmos Sci, 1998, 55: 690–709

    Article  Google Scholar 

  17. Wang W, Schlesinger M E. The dependence on convection parameterization of the tropical intraseasonal oscillation simulated in the UIUC 11-layer atmospheric GCM. J Clim, 1999, 12: 1423–1457

    Article  Google Scholar 

  18. Maloney E D, Hartmann D L. The sensitive of intraseasonal variability in the NCAR CCM3 to changes in convection parameterization. J Clim, 2001, 14: 2015–2034

    Article  Google Scholar 

  19. Wang B, Xu X H. Northern hemisphere summer monsoon singularities and climatological intraseasonal oscillation. J Clim, 1997, 10: 1071–1085

    Article  Google Scholar 

  20. Yang J. Climatological and transient intraseasonal oscillations in the East Asia-Western North Pacific summer monsoon (in Chinese). Dissertation for the Doctoral Degreee. Beijing: Institute of Atmospheric Physics, Chinese Academy of Sciences, 2008. 15

    Google Scholar 

  21. Liebmann B, Smith C A. Description of a complete (interpolated) outgoing long-wave radiation dataset. Bull Amer Meteorol Soc, 1996, 77: 1275–1277

    Google Scholar 

  22. Kanamitsu M, Ebisuzaki W, Woollen J. NCEP/DOE AMIP-II reanalysis (R-2). Bull Amer Meteorol Soc, 2002, 83: 1631–1643

    Article  Google Scholar 

  23. Zeng Q C. Characteristic parameter and dynamical equation of atmospheric motions (in Chinese). Acta Meteorol Sin, 1963, 33: 472–483

    Google Scholar 

  24. Edwards J M, Slingo A A. Studies wit h a flexible new radiation code. I: Choosing a configuration for a large-scale model, Q J R Meteorol Soc, 1996, 122: 689–720

    Google Scholar 

  25. Xue Y, Sellers P J, Kinter J J, et al. A simplified biosphere model for global climate studies. J Clim, 1991, 4: 345–364

    Article  Google Scholar 

  26. Liu H, Wu G X. Impacts of land surface on climate of July and onset of summer monsoon: A study with an AGCM plus SSib. Adv Atmos Sci, 1997, 15: 410–423

    Google Scholar 

  27. Zhou T, Yu R, Wang Z. The atmospheric general circulation model SAMIL and its associated coupled climate system model FGOALS-s (in Chinese). In: Impacts of the Ocean-Land-Atmosphere Interaction Over the Asian Monsoon Domain on the Climate Change Over China. Beijing: China Meteorological Press, 2005. 288

    Google Scholar 

  28. Manabe S, Smagorinsky J, Strickler R F. Simulated climatology of general circulation model with a hydrological cycle. Mon Weather Rev, 1965, 93: 769–798

    Article  Google Scholar 

  29. Zhang G J. Convective quasi-equilibrium in mid-latitude continental environment and its effect on convective parameterization. J Geophys Res, 2002, 107: 4220, doi: 10.1029/2001JD001005

    Article  Google Scholar 

  30. Zhang G J, Mu M Q. Simulation of the Madden-Julian Oscillation in the NCAR CCM3 using a revised Zhang-McFarlane Convection Parameterization Scheme. J Clim, 2005, 18: 4046–4064

    Article  Google Scholar 

  31. Liu Y M, Liu K, Wu G X. The impacts of the cumulus convective parameterization on the atmospheric water-content and rainfall simulation in SAMIL (in Chinese). Chin J Atmos Sci, 2007, 31: 1201–1211

    Google Scholar 

  32. Yasunari T. Cloudiness fluctuations associated with the Northern Hemisphere summer monsoon. J Meteorol Soc Jpn, 1979, 57: 227–242

    Google Scholar 

  33. Wang B, Ding Q H, Joseph P V. Objective definition of the Indian Summer Monsoon onset. J Clim, 2009, 22: 3303–3316

    Article  Google Scholar 

  34. Li C Y, Jia X L, Ling J, et al. Sensitivity of MJO simulations to diabatic heating profiles. Clim Dyn, 2009, 32: 167–187

    Article  Google Scholar 

  35. Yang X Q, Huang S S. Intraseasonal Oscillations in air-sea coupled system (in Chinese). J Tropical Meteorol, CNKI: SUN: RDQX.0.1993-03-001

Download references

Author information

Authors and Affiliations

  1. LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

    WenTing Hu, AnMin Duan & GuoXiong Wu

  2. Graduate University of Chinese Academy of Sciences, Beijing, 100049, China

    WenTing Hu

Authors
  1. WenTing Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. AnMin Duan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. GuoXiong Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to AnMin Duan.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hu, W., Duan, A. & Wu, G. Sensitivity of simulated tropical intraseasonal oscillations to cumulus schemes. Sci. China Earth Sci. 54, 1761–1771 (2011). https://doi.org/10.1007/s11430-011-4215-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11430-011-4215-0

Keywords

Search

Navigation