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| Research progress and future prospects of atmospheric environment models in China |
| WANG Ti-jian1, LI Meng-meng1, HAN Zhi-wei2, ZHANG Hua3, ZHOU Chun-hong4, XIE Min5, LI Shu1, ZHUANG Bing-liang1, WU Hao6, QU Ya-wei7, FU Tzung-may8, MA Dan-yang1, LI Ya-song1 |
1. School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China;
2. Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
3. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China;
4. Institute of Atmospheric Composition and Environmental Meteorology, Chinese Academy of Meteorological Sciences, Beijing 100081, China;
5. School of Environment, Nanjing Normal University, Nanjing 210023, China;
6. Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China;
7. College of Intelligent Science and Control Engineering, Jinling Institute of Technology, Nanjing 211169, China;
8. School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China |
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Abstract This article offers a comprehensive overview of the history and key features of China’s atmospheric environment models, and also discusses the potential future research directions in this field. Since the 1960s, China has been engaged in the development and application study of atmospheric environment models, which have gone through different stages including transport diffusion models, acid deposition models, air quality models, climate-chemistry coupled models, and earth system models. China has developed its own atmospheric environment models with unique characteristics, improved international advanced models, and played a significant role in pollution prevention, environmental protection for major events, and climate change response. In the future, to improve the performance of atmospheric environment models in China and promote its open-source, more studies are required to focus on the formation mechanism of air pollution in model, retrieval of emission inventory, as well as development of dynamical emission model, multi-source observational data assimilation technique, ensemble forecast technique, unstructured grid system, and environment model based on artificial intelligence.
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Received: 08 April 2024
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