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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1191', Anonymous Referee #1, 22 Dec 2022
  • RC2: 'Comment on egusphere-2022-1191', Anonymous Referee #2, 23 Dec 2022
  • AC1: 'Reply to Review Comments (egusphere-2022-1191)', Chi Li, 20 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Chi Li on behalf of the Authors (20 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Feb 2023) by Thomas von Clarmann (deceased)
AR by Chi Li on behalf of the Authors (21 Feb 2023)
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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.
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