Reanalysis of and attribution to near-surface ozone concentrations in Sweden during 1990–2013

Andersson, Camilla; Alpfjord, Heléne; Robertson, Lennart; Karlsson, Per Erik; Engardt, Magnuz

doi:https://doi.org/10.5194/acp-17-13869-2017

Articles | Volume 17, issue 22

https://doi.org/10.5194/acp-17-13869-2017

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

https://doi.org/10.5194/acp-17-13869-2017

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

Articles | Volume 17, issue 22

Research article

|

22 Nov 2017

Research article |

| 22 Nov 2017

Reanalysis of and attribution to near-surface ozone concentrations in Sweden during 1990–2013

Camilla Andersson, Heléne Alpfjord, Lennart Robertson, Per Erik Karlsson, and Magnuz Engardt

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Final revised paper (published on 22 Nov 2017)
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Preprint (discussion started on 20 Jun 2017)
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Interactive discussion

Status: closed

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

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RC1: 'Review: "Reanalyses of and attribution to near-surface ozone concetrations in Sweded during 1990-2013"', Anonymous Referee #1, 03 Aug 2017
- AC1: 'Author reply to Anonymous Referee #1', Camilla Andersson, 21 Sep 2017
RC2: 'Review', Anonymous Referee #2, 07 Aug 2017
- AC2: 'Author reply to Anonymous Referee #2', Camilla Andersson, 21 Sep 2017

Peer-review completion

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

AR by Camilla Andersson on behalf of the Authors (21 Sep 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (24 Sep 2017) by Maria Kanakidou

RR by Anonymous Referee #2 (29 Sep 2017)

ED: Publish as is (14 Oct 2017) by Maria Kanakidou

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Short summary

We show that high near-surface O₃ concentrations in Sweden are decreasing and low O₃ concentrations are increasing during 1990–2013. The cause for the change is a combination of change in hemispheric background, meteorology and anthropogenic emissions. We have identified systematic differences in the modelled trend that must be caused by incorrect trends in the utilized emissions or by too high sensitivity in the model. We based the analysis on fused measurements and modelling.