Articles | Volume 23, issue 5
https://doi.org/10.5194/acp-23-3031-2023
https://doi.org/10.5194/acp-23-3031-2023
Research article
 | 
07 Mar 2023
Research article |  | 07 Mar 2023

Variable effects of spatial resolution on modeling of nitrogen oxides

Chi Li, Randall V. Martin, Ronald C. Cohen, Liam Bindle, Dandan Zhang, Deepangsu Chatterjee, Hongjian Weng, and Jintai Lin

Viewed

Total article views: 2,560 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,112 405 43 2,560 122 34 50
  • HTML: 2,112
  • PDF: 405
  • XML: 43
  • Total: 2,560
  • Supplement: 122
  • BibTeX: 34
  • EndNote: 50
Views and downloads (calculated since 28 Nov 2022)
Cumulative views and downloads (calculated since 28 Nov 2022)

Viewed (geographical distribution)

Total article views: 2,560 (including HTML, PDF, and XML) Thereof 2,518 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Models are essential to diagnose the significant effects of nitrogen oxides (NOx) on air pollution. We use an air quality model to illustrate the variability of NOx resolution-dependent simulation biases; how these biases depend on specific chemical environments, driving mechanisms, and vertical variabilities; and how these biases affect the interpretation of satellite observations. High-resolution simulations are thus critical to accurately interpret NOx and its relevance to air quality.
Altmetrics
Final-revised paper
Preprint