Articles | Volume 22, issue 21
Atmos. Chem. Phys., 22, 14355–14376, 2022
https://doi.org/10.5194/acp-22-14355-2022
Atmos. Chem. Phys., 22, 14355–14376, 2022
https://doi.org/10.5194/acp-22-14355-2022
Research article
09 Nov 2022
Research article | 09 Nov 2022

Assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real-time system

Antje Inness 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-2022-458', Anonymous Referee #1, 29 Jul 2022
  • RC2: 'Comment on acp-2022-458', Anonymous Referee #2, 10 Aug 2022
  • RC3: 'Comment on acp-2022-458', Anonymous Referee #3, 23 Aug 2022
  • AC1: 'Comment on acp-2022-458', Antje Inness, 04 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Antje Inness on behalf of the Authors (04 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (06 Oct 2022) by Jianzhong Ma
RR by Anonymous Referee #1 (07 Oct 2022)
RR by Anonymous Referee #2 (16 Oct 2022)
ED: Publish subject to technical corrections (16 Oct 2022) by Jianzhong Ma
AR by Antje Inness on behalf of the Authors (20 Oct 2022)  Author's response    Manuscript
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Short summary
The Copernicus Atmosphere Monitoring Service (CAMS) provides daily global air quality forecasts to users worldwide. One of the species of interest is carbon monoxide (CO), an important trace gas in the atmosphere with anthropogenic and natural sources, produced by incomplete combustion, for example, by wildfires. This paper looks at how well CAMS can model CO in the atmosphere and shows that the fields can be improved when blending CO data from the TROPOMI instrument with the CAMS model.
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