Advances in Earth Science ›› 2017, Vol. 32 ›› Issue (7): 679-687. doi: 10.11867/j.issn.1001-8166.2017.07.0679

• Orginal Article •     Next Articles

Research Progress on Physical Parameterization Schemes in Numerical Weather Prediction Models

Leiming Ma 1, 2, 3( ), Xuwei Bao 2   

  1. 1.Shanghai Weather Forecast Center, Shanghai 200030, China
    2.Shanghai Typhoon Institute/CMA, Shanghai 200030, China
    3.Shanghai Key Laboratory of Meteorology and Health, Shanghai 200030, China
  • Received:2017-04-18 Revised:2017-06-20 Online:2017-07-20 Published:2017-07-20
  • About author:

    First author:Ma Leiming (1975-), male,Shihezi City, Xinjiang Province, Professor. Research areas include numerical prediction, tropical cyclone, and atmospheric dynamics.E-mail:malm@mail.typhoor.gov.cn

  • Supported by:
    Project supported by the National Natural Science Foundation of China “Study on dominant physical mechanism and parameterization for deep convection affected by atmosphere in mid-level troposphere”(No.41475059);Special Project of National Key Research and Development Program of China “Observation on weather conditions for air pollution in China eastern city group and construction on related large data platform”(No.2016YFC0201900)

Leiming Ma, Xuwei Bao. Research Progress on Physical Parameterization Schemes in Numerical Weather Prediction Models[J]. Advances in Earth Science, 2017, 32(7): 679-687.

Atmospheric physics in numerical weather prediction model which predominantly determines the evolution of atmospheric processes is mainly described by physical parameterization. As a result, the development of physical parameterization has been a hot research issue in the area of numerical prediction for a long time. In this regard, the theoretical background and history of physical parameterization schemes for convection, microphysics, and planetary boundary layer, were reviewed in this study. It is suggested that the advance of physical parameterization for the model with high-resolution grid spaces should be considered as a principle issue for numerical model development in the future. Although the gird spaces in current operational numerical models generally decrease toward 10 km owing to the rapid development of high-performance computation, yet most of these schemes are designed for coarse grid spaces. Because of this kind of deficiency, the theoretical basis of these schemes inevitably faces controversy. Directions for development of physical parameterization were also suggested according to the trends of research in numerical prediction.

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