Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 21, issue 4
Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2725-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-21-2725-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 4
Research article
 | 
24 Feb 2021
Research article |  | 24 Feb 2021

Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM2.5 and chemical species

Ling Huang, Yonghui Zhu, Hehe Zhai, Shuhui Xue, Tianyi Zhu, Yun Shao, Ziyi Liu, Chris Emery, Greg Yarwood, Yangjun Wang, Joshua Fu, Kun Zhang, and Li Li

Viewed

Total article views: 5,710 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,273 1,364 73 5,710 393 88 125
  • HTML: 4,273
  • PDF: 1,364
  • XML: 73
  • Total: 5,710
  • Supplement: 393
  • BibTeX: 88
  • EndNote: 125
Views and downloads (calculated since 09 Jul 2020)
Cumulative views and downloads (calculated since 09 Jul 2020)

Viewed (geographical distribution)

Total article views: 5,710 (including HTML, PDF, and XML) Thereof 5,710 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
Short summary
Numerical air quality models (AQMs) are being applied extensively to address diverse scientific and regulatory compliance associated with deteriorating air quality in China. For any AQM applications, model performance evaluation is a critical step that guarantees the robustness and reliability of the baseline modeling results and subsequent applications. We provided benchmarks for model performance evaluation of AQM applications in China to demonstrate model robustness.
Read more
Share
Special issue
Regional assessment of air pollution and climate change over...
Altmetrics
Final-revised paper
Preprint