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.

Data sets

Model data exp=hmib for research article “Monitoring and assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real time system” Antje Inness https://doi.org/10.21957/ax0c-fm72

Model data exp=hlxm for research article “Monitoring and assimilation of S5P/TROPOMI carbon monoxide data with the global CAMS near-real time system” Antje Inness https://doi.org/10.21957/mwqe-vs95

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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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