Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 22, issue 23
Articles | Volume 22, issue 23
https://doi.org/10.5194/acp-22-15333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-15333-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 23
Research article
 | 
05 Dec 2022
Research article |  | 05 Dec 2022

The historical ozone trends simulated with the SOCOLv4 and their comparison with observations and reanalyses

Arseniy Karagodin-Doyennel, Eugene Rozanov, Timofei Sukhodolov, Tatiana Egorova, Jan Sedlacek, William Ball, and Thomas Peter

Viewed

Total article views: 4,456 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,379 989 88 4,456 135 175
  • HTML: 3,379
  • PDF: 989
  • XML: 88
  • Total: 4,456
  • BibTeX: 135
  • EndNote: 175
Views and downloads (calculated since 12 Aug 2022)
Cumulative views and downloads (calculated since 12 Aug 2022)

Viewed (geographical distribution)

Total article views: 4,456 (including HTML, PDF, and XML) Thereof 4,247 with geography defined and 209 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 30 Apr 2026
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
Applying the dynamic linear model, we confirm near-global ozone recovery (55°N–55°S) in the mesosphere, upper and middle stratosphere, and a steady increase in the troposphere. We also show that modern chemistry–climate models (CCMs) like SOCOLv4 may reproduce the observed trend distribution of lower stratospheric ozone, despite exhibiting a lower magnitude and statistical significance. The obtained ozone trend pattern in SOCOLv4 is generally consistent with observations and reanalysis datasets.
Read more
Share
Altmetrics
Final-revised paper
Preprint