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

Inness, Antje; Aben, Ilse; Ades, Melanie; Borsdorff, Tobias; Flemming, Johannes; Jones, Luke; Landgraf, Jochen; Langerock, Bavo; Nedelec, Philippe; Parrington, Mark; Ribas, Roberto

doi:https://doi.org/10.5194/acp-22-14355-2022

Articles | Volume 22, issue 21

https://doi.org/10.5194/acp-22-14355-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-14355-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 21

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

Supplement

https://doi.org/10.5194/acp-22-14355-2022-supplement

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.