Recommendations on benchmarks for numerical air quality model applications in China – Part 2: Ozone and uncertainty analysis

Huang, Ling; Zhang, Xinxin; Emery, Chris; Mu, Qing; Yarwood, Greg; Zhai, Hehe; Sun, Zhixu; Xue, Shuhui; Wang, Yangjun; Fu, Joshua S.; Li, Li

doi:https://doi.org/10.5194/acp-25-4233-2025

Articles | Volume 25, issue 7

https://doi.org/10.5194/acp-25-4233-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-4233-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 7

Research article

|

14 Apr 2025

Research article |

| 14 Apr 2025

Recommendations on benchmarks for numerical air quality model applications in China – Part 2: Ozone and uncertainty analysis

Ling Huang, Xinxin Zhang, Chris Emery, Qing Mu, Greg Yarwood, Hehe Zhai, Zhixu Sun, Shuhui Xue, Yangjun Wang, Joshua S. Fu, and Li Li

Supplement

https://doi.org/10.5194/acp-25-4233-2025-supplement

Data sets

Data for figures in "Recommendations on benchmarks for chemical transport model applications in China – Part 2: Ozone and Uncertainty Analysis" (1.0) Ling Huang https://doi.org/10.5281/zenodo.14880358

Short summary

Ground-level ozone pollution has emerged as a significant air pollutant in China. Chemical transport models (CTMs) serve as crucial tools in addressing ozone pollution. This study reviews CTM applications for simulating ozone in China and proposes goal and criteria benchmark values for evaluating ozone. Along with prior work on PM₂₅ and other pollutants, this effort establishes a comprehensive framework for evaluating CTM performance in China.