Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations

Zeng, Guang; Morgenstern, Olaf; Shiona, Hisako; Thomas, Alan J.; Querel, Richard R.; Nichol, Sylvia E.

doi:https://doi.org/10.5194/acp-17-10495-2017

Articles | Volume 17, issue 17

https://doi.org/10.5194/acp-17-10495-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Twenty-five years of operations of the Network for the Detection...

https://doi.org/10.5194/acp-17-10495-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 17

Research article

|

07 Sep 2017

Research article |

| 07 Sep 2017

Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry–climate model simulations

Guang Zeng, Olaf Morgenstern, Hisako Shiona, Alan J. Thomas, Richard R. Querel, and Sylvia E. Nichol

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Final revised paper (published on 07 Sep 2017)
Preprint (discussion started on 02 May 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of Attribution of recent ozone changes in the Southern Hemisphere mid-latitudes using statistical analysis and chemistry-climate model simulations by Zenf et al.', Anonymous Referee #1, 22 May 2017
- AC1: 'Reply to reviewer's comments', Guang Zeng, 28 Jul 2017
RC2: 'Review of Zeng et al.', Anonymous Referee #2, 26 May 2017
- AC2: 'Reply to Reviewer's comments', Guang Zeng, 28 Jul 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Guang Zeng on behalf of the Authors (28 Jul 2017) Author's response Manuscript

ED: Publish as is (08 Aug 2017) by Hal Maring

Short summary

The long-term ozonesonde record from Lauder, New Zealand, which covers 1987 to 2014, shows a significant positive trend in lower tropospheric ozone, and a significant negative trend in the tropopause region. We conduct a statistical and chemistry–climate model analysis to identify the causes of these trends. We attribute these trends to anthropogenic influences and large-scale dynamical effects such as increasing tropopause height and an increase in stratosphere–troposphere exchange.