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TCOM Data

TCOM (Dhomse and Chipperfield, 2023) is a dataset created by Sandip Dhomse and Martyn Chipperfield which uses decision-tree-based Machine Learning to optimally combine sparse satellite limb solar occultation (sunrise/sunset) profile data and results from the TOMCAT CTM (see description here).

This approach has been applied to a range of source gas and reservoir species. The daily zonal mean data for selected species is stored on Zenodo at the links given below. Check the Zenodo page for any recent version updates.

 

ML-TOMCAT (Dhomse et al., 2021) is a similar monthly mean product just for ozone using the SWOOSH merged ozone dataset and TOMCAT. It is available here:

 

Main TCOM and ML-TOMCAT References

  • Dhomse, S. S., Arosio, C., Feng, W., Rozanov, A., Weber, M., and Chipperfield, M. P.: ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model, Earth Syst. Sci. Data, 13, 5711–5729, https://doi.org/10.5194/essd-13-5711-2021, 2021.
  • Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023.
  • Dhomse, S. S. and Chipperfield, M. P.: TCOM-CFC11 and TCOM-CFC12: A gap-free, observationally constrained global dataset of stratospheric CFC-11 and CFC-12 Profiles (v2.0)., submitted to Earth Syst. Sci. Data, 2026.