Skip to main content
Log in

Development and improvement of mass flux convection parameterization scheme and its applications in the seasonal climate predication model

  • Reports
  • Published:
Chinese Science Bulletin

Abstract

The features of Gregory cumulus parameterization scheme, which is used in British Weather Office, are researched and then this scheme is developed and improved according to the characteristics of area precipitation over China. Firstly, the influence of the large-scale convergence in lower tropopause upon cumulus convection is directly taken into account in a “bulk” cloud model. The organized entrainment and detrainment is considered in the model. Secondly, the initial mass flux is revised. Thirdly, the effects of subcooling water upon saturation vapour pressure are considered. Eventually, the drown-draft air is regulated. For several years, the numerical forecast of seasonal precipitation in China has been carried out by using the modified Gregory scheme. The result shows that the model with improved Gregory scheme well simulates the precipitation over China and the prediction result is good.

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

  1. Dong Ming, Francis Zwiers, Ye Zhengqing, A preliminary validation study of the seasonal forecast of two Canadian models over China (eds. Dong Ming, Ye Zhengqing), The Principles and Technology Methods of Climate Models (in Chinese), Beijing: Meteorological Press, 2000, 143–159.

    Google Scholar 

  2. Gregory, D., Rowntree, P. R., Amass flux convection scheme with representation of cloud ensemble characteristics and stability dependent closure, Month Weather Review, 1990, 118: 1483–1506.

    Article  Google Scholar 

  3. Gregory, D., Rowntree, P. R., A numerical study of the parameterization of deep tropical convection, Quarter Journal Royal Meteorology Society, 1989, 115: 1209–1241.

    Article  Google Scholar 

  4. Lindzen, R. S., Some remarks on cumulus parameterization, Report on NASA-GISS Workshop: Clouds in Climate Modeling and Satellite Observational Studies, 1981, 42–51.

  5. Cheng, Johnson, R. H., Diagnosis of convective and mesoscale motions during Phase III of GATE, Journal Atmosphere Science, 1980, 37: 733–753.

    Article  Google Scholar 

  6. Tiedtke, M., A comprehensive mass flux scheme for cumulus parameterization in large-scale models, Month Weather Review, 1989, 117: 1779–1800.

    Article  Google Scholar 

  7. Tao, Shiyan et al., The climate background and large-scale general circulation condition of 1998 summer flood in 1998, The Research of Climate and Environment (in Chinese), 2001, 3(4): 142–158.

    Google Scholar 

  8. Albrecht, B. A., Ramanathan, V., Boville, B. A., The effects of cumulus moisture transports on the simulation of climate with a general circulation model, Journal Atmosphere Science, 1986, 43: 2443–2462.

    Article  Google Scholar 

  9. Arakawam, A., Schubert, W. H., Interaction of a cumulus cloud ensemble with the large-scale environment, Part I, Journal Atmosphere Science, 1974, 31: 674–701.

    Article  Google Scholar 

  10. Bougeault, Ph., A simple parameterization of the large-scale effects of cumulus convection, Month Weather Review, 1985, 113: 2108–2121.

    Article  Google Scholar 

  11. Kuo, H. L., On formation and intensification of tropical cyclones through latent heat release by cumulus convection, Journal Atmosphere Science, 1965, 22: 40–63.

    Article  Google Scholar 

  12. Kuo, H. L., Further studies of the parameterization of the influence of cumulus convection on large-scale flow, Journal Atmosphere Science, 1974, 31: 1232–1240.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

About this article

Cite this article

Ping, F., Gao, S. & Wang, H. Development and improvement of mass flux convection parameterization scheme and its applications in the seasonal climate predication model. Chin.Sci.Bull. 48, 1006–1015 (2003). https://doi.org/10.1007/BF03184217

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03184217

Keywords

Navigation