Articles | Volume 23, issue 20
Research article
16 Oct 2023
Research article |  | 16 Oct 2023

Quantifying stratospheric ozone trends over 1984–2020: a comparison of ordinary and regularized multivariate regression models

Yajuan Li, Sandip S. Dhomse, Martyn P. Chipperfield, Wuhu Feng, Jianchun Bian, Yuan Xia, and Dong Guo


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'my comments', Mark Weber, 07 Jun 2023
  • RC2: 'Autorgression (AR1) not accounted for', Mark Weber, 13 Jun 2023
  • RC3: 'Comment on egusphere-2023-591', Jens-Uwe Grooß, 23 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Yajuan Li on behalf of the Authors (11 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Aug 2023) by Jens-Uwe Grooß
AR by Yajuan Li on behalf of the Authors (01 Sep 2023)  Manuscript 
Short summary
For the first time a regularized multivariate regression model is used to estimate stratospheric ozone trends. Regularized regression avoids the over-fitting issue due to correlation among explanatory variables. We demonstrate that there are considerable differences in satellite-based and chemical-model-based ozone trends, highlighting large uncertainties in our understanding about ozone variability. We argue that caution is needed when interpreting results with different methods and datasets.
Final-revised paper