How to most effectively expand the global surface ozone observing network

Sofen, E. D.; Bowdalo, D.; Evans, M. J.

doi:https://doi.org/10.5194/acp-16-1445-2016

Articles | Volume 16, issue 3

https://doi.org/10.5194/acp-16-1445-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-1445-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 3

Research article

|

09 Feb 2016

Research article |

| 09 Feb 2016

How to most effectively expand the global surface ozone observing network

E. D. Sofen, D. Bowdalo, and M. J. Evans

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Final revised paper (published on 09 Feb 2016)
Preprint (discussion started on 05 Aug 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C6371: 'Review of: How to Most Effectively Expand the Global Surface Ozone Observing Network, E. D. Sofen, D. Bowdalo, and M. J. Evans', Ian Galbally, 31 Aug 2015
- AC C10861: 'Response to Ian Galbally's review', Eric Sofen, 27 Dec 2015
RC C6488: 'Anonymous review', Anonymous Referee #2, 02 Sep 2015
- AC C10865: 'Response to Reviewer 2', Eric Sofen, 27 Dec 2015

Peer-review completion

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

AR by Eric Sofen on behalf of the Authors (27 Dec 2015) Author's response Manuscript

ED: Publish subject to technical corrections (18 Jan 2016) by Eliza Harris

AR by Eric Sofen on behalf of the Authors (26 Jan 2016) Author's response Manuscript

Short summary

We explore the global representativeness of a global surface ozone data set from a range of perspectives (area, biomes, chemical regimes, model uncertainty, model trends). We conclude that the current network fails to provide sufficient constraints for important regions/regimes, leading to uncertainty for a range of atmospheric composition challenges. We suggest 20 new locations for making surface ozone observations, which would significantly enhance our observational capability.