Articles | Volume 18, issue 4
Atmos. Chem. Phys., 18, 2615–2651, 2018
https://doi.org/10.5194/acp-18-2615-2018
Atmos. Chem. Phys., 18, 2615–2651, 2018
https://doi.org/10.5194/acp-18-2615-2018

Review article 22 Feb 2018

Review article | 22 Feb 2018

Southeast Atmosphere Studies: learning from model-observation syntheses

Jingqiu Mao et al.

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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 Jingqiu Mao on behalf of the Authors (26 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (30 Oct 2017) by Yugo Kanaya
RR by Anonymous Referee #3 (26 Nov 2017)
RR by Anonymous Referee #2 (06 Dec 2017)
ED: Publish subject to minor revisions (review by editor) (15 Dec 2017) by Yugo Kanaya
AR by Jingqiu Mao on behalf of the Authors (23 Dec 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (07 Jan 2018) by Yugo Kanaya
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Short summary
This paper is aimed at discussing progress in evaluating, diagnosing, and improving air quality and climate modeling using comparisons to SAS observations as a guide to thinking about improvements to mechanisms and parameterizations in models.
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