Articles | Volume 22, issue 21
https://doi.org/10.5194/acp-22-14355-2022
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, Ilse Aben, Melanie Ades, Tobias Borsdorff, Johannes Flemming, Luke Jones, Jochen Landgraf, Bavo Langerock, Philippe Nedelec, Mark Parrington, and Roberto Ribas

Viewed

Total article views: 2,334 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,642 653 39 2,334 81 29 23
  • HTML: 1,642
  • PDF: 653
  • XML: 39
  • Total: 2,334
  • Supplement: 81
  • BibTeX: 29
  • EndNote: 23
Views and downloads (calculated since 04 Jul 2022)
Cumulative views and downloads (calculated since 04 Jul 2022)

Viewed (geographical distribution)

Total article views: 2,334 (including HTML, PDF, and XML) Thereof 2,351 with geography defined and -17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 25 Apr 2024
Download
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.
Altmetrics
Final-revised paper
Preprint