Articles | Volume 22, issue 13
Atmos. Chem. Phys., 22, 8617–8637, 2022
https://doi.org/10.5194/acp-22-8617-2022
Atmos. Chem. Phys., 22, 8617–8637, 2022
https://doi.org/10.5194/acp-22-8617-2022
Research article
05 Jul 2022
Research article | 05 Jul 2022

Improving NOx emission estimates in Beijing using network observations and a perturbed emissions ensemble

Le Yuan et al.

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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 acp-2022-161', Anonymous Referee #1, 07 Apr 2022
  • RC2: 'Comment on acp-2022-161', Anonymous Referee #2, 11 Apr 2022
  • AC1: 'Response to reviewers' comments on acp-2022-161', Le Yuan, 18 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Le Yuan on behalf of the Authors (18 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (06 Jun 2022) by Andreas Hofzumahaus
AR by Le Yuan on behalf of the Authors (08 Jun 2022)  Author's response
ED: Publish as is (13 Jun 2022) by Andreas Hofzumahaus
AR by Le Yuan on behalf of the Authors (18 Jun 2022)  Author's response    Manuscript
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Short summary
Emission estimates represent a major source of uncertainty in air quality modelling. We developed a novel approach to improve emission estimates from existing inventories using air quality models and routine in situ observations. Using this approach, we derived improved estimates of NOx emissions from the transport sector in Beijing in 2016. This approach has great potential in deriving timely updates of emissions for other pollutants, particularly in regions undergoing rapid emission changes.
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