ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model

Dhomse, SS orcid.org/0000-0003-3854-5383, Arosio, C, Feng, W orcid.org/0000-0002-9907-9120 et al. (3 more authors) (2021) ML-TOMCAT: machine-learning-based satellite-corrected global stratospheric ozone profile data set from a chemical transport model. Earth System Science Data, 13 (12). pp. 5711-5729. ISSN 1866-3508

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Copyright, Publisher and Additional Information: © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
Dates:
  • Accepted: 12 November 2021
  • Published (online): 10 December 2021
  • Published: 10 December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds)
The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > National Centre for Atmos Science (NCAS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Jan 2022 11:23
Last Modified: 27 Jan 2022 11:23
Status: Published
Publisher: Copernicus Publications
Identification Number: https://doi.org/10.5194/essd-13-5711-2021
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