Abstract

The report will begin with the introduction ofparameterization of atmospheric models’ physical processesand discuss the relationship between parameterization of models’ physical processes and model resolution. Then by introducing the development of the model mesh adaptive sub-grid convection parameterization scheme and the three-dimensional scale adaptive sub-grid turbulence mixing scheme, the opportunity of developing the physical process parameterization of high-resolution atmospheric models will be pointed out. Finally, starting from the requirements of sub-grid cloud parameterization, parameterization of the physical processes of each model and consistency between the dynamic framework and the physical processes of models, this report will expound the challenges faced by the parameterization of the physical processes of the high-resolution atmospheric models.

Presenter Profile

Chen Baode, a special expert of China Meteorological Administration, a researcher of Shanghai Typhoon Research Institute and the chief scientist of Shanghai Regional Numerical Forecasting Innovation Center, is mainly responsible for the research and development of numerical weather forecasting. The mesoscale numerical forecasting model developed by his team in east China is one of the best mesoscale models in China at present, which plays an important role in the prediction of local heavy precipitation during flood season in China. At the same time, the team led by Dr. Chen Baode has been committed to the research and development of core technologies, and has made outstanding achievements in the core technologies of numerical prediction such as high-resolution physical processes, especially the parameterization of gray area scale correlation.