Articles | Volume 18, issue 8
https://doi.org/10.5194/essd-18-6171-2026
https://doi.org/10.5194/essd-18-6171-2026
Data description article
 | 
26 Aug 2026
Data description article |  | 26 Aug 2026

TCOM-CFC11 and TCOM-CFC12: a gap-free, observationally constrained global dataset of stratospheric CFC-11 and CFC-12 profiles (v2.0)

Sandip S. Dhomse and Martyn P. Chipperfield

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Short summary
We have developed an innovative methodology that uses machine learning to correct errors in chemical models by using satellite data as a guide. In this latest update, we detail improvements to our process for creating a gap-free data of two major ozone-depleting substances: CFC-11 and CFC-12. By combining the strengths of both chemical models and satellites, we have produced a reliable, global dataset that allows researchers to track long-term trends and better evaluate the chemical models.
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