摘要
This paper summarizes the recent progress of numerical weather prediction （NWP） research since the last review was published. The new generation NWP system named GRAPES （the Global and Regional Assimilation and Prediction System）, which consists of variational or sequential data assimilation and nonhydrostatic prediction model with options of configuration for either global or regional domains, is briefly introduced, with stress on their scientific design and preliminary results during pre-operational implementation. In addition to the development of GRAPES, the achievements in new methodologies of data assimilation, new improvements of model physics such as parameterization of clouds and planetary boundary layer, mesoscale ensemble prediction system and numerical prediction of air quality are presented. The scientific issues which should be emphasized for the future are discussed finally.
This paper summarizes the recent progress of numerical weather prediction （NWP） research since the last review was published. The new generation NWP system named GRAPES （the Global and Regional Assimilation and Prediction System）, which consists of variational or sequential data assimilation and nonhydrostatic prediction model with options of configuration for either global or regional domains, is briefly introduced, with stress on their scientific design and preliminary results during pre-operational implementation. In addition to the development of GRAPES, the achievements in new methodologies of data assimilation, new improvements of model physics such as parameterization of clouds and planetary boundary layer, mesoscale ensemble prediction system and numerical prediction of air quality are presented. The scientific issues which should be emphasized for the future are discussed finally.
基金
This work is jointly funded by the national key-research project ＂Innovative Researches on Chinese Numerical Weather Prediction System＂ （Grant No. 2004BA607B）
the project of National Natural Science Foundation of China ＂Study on Weather Prediction Associated with Heavy Precipitation in China＂ （Grant No. 40233036）.
