Articles | Volume 26, issue 9
https://doi.org/10.5194/acp-26-6223-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-6223-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 May 2026
Research article |
| 11 May 2026
| 11 May 2026
The role of chemical boundary conditions in simulating summer ozone and cross-boundary transport over China
Yunsong Du
College of carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China
Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065, China
Fumo Yang
College of carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China
Sijia Lou
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Baolei Lyu
Huayun Sounding Meteorological Technology Co. Ltd., Beijing 100081, China
Ran Huang
Hangzhou AiMa Technologies, Hangzhou, Zhejiang 311121, China
Guangming Shi
College of carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China
Yongtao Hu
School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
Yan Jiang
Sichuan Eco-environment Monitoring Station, Chengdu 610091, China
College of carbon Neutrality Future Technology, Sichuan University, Chengdu 610065, China
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Short summary
This study shows that using dynamically changing chemical boundary conditions is essential for accurately simulating summer ozone pollution in China. By integrating real-time global data, we improve model performance and reveal how large-scale weather patterns drive cross-border and stratospheric transport. These results support more reliable ozone forecasting and pollution mitigation.
This study shows that using dynamically changing chemical boundary conditions is essential for...
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