Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-639-2017
https://doi.org/10.5194/gmd-10-639-2017
Review and perspective paper
 | 
13 Feb 2017
Review and perspective paper |  | 13 Feb 2017

Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)

Olaf Morgenstern, Michaela I. Hegglin, Eugene Rozanov, Fiona M. O'Connor, N. Luke Abraham, Hideharu Akiyoshi, Alexander T. Archibald, Slimane Bekki, Neal Butchart, Martyn P. Chipperfield, Makoto Deushi, Sandip S. Dhomse, Rolando R. Garcia, Steven C. Hardiman, Larry W. Horowitz, Patrick Jöckel, Beatrice Josse, Douglas Kinnison, Meiyun Lin, Eva Mancini, Michael E. Manyin, Marion Marchand, Virginie Marécal, Martine Michou, Luke D. Oman, Giovanni Pitari, David A. Plummer, Laura E. Revell, David Saint-Martin, Robyn Schofield, Andrea Stenke, Kane Stone, Kengo Sudo, Taichu Y. Tanaka, Simone Tilmes, Yousuke Yamashita, Kohei Yoshida, and Guang Zeng

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Olaf Morgenstern on behalf of the Authors (16 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Dec 2016) by Astrid Kerkweg
RR by Anonymous Referee #1 (05 Jan 2017)
ED: Publish subject to technical corrections (09 Jan 2017) by Astrid Kerkweg
AR by Olaf Morgenstern on behalf of the Authors (11 Jan 2017)  Author's response    Manuscript
Short summary
We present a review of the make-up of 20 models participating in the Chemistry–Climate Model Initiative (CCMI). In comparison to earlier such activities, most of these models comprise a whole-atmosphere chemistry, and several of them include an interactive ocean module. This makes them suitable for studying the interactions of tropospheric air quality, stratospheric ozone, and climate. The paper lays the foundation for other studies using the CCMI simulations for scientific analysis.