Articles | Volume 18, issue 4
Review article
22 Feb 2018
Review article |  | 22 Feb 2018

Southeast Atmosphere Studies: learning from model-observation syntheses

Jingqiu Mao, Annmarie Carlton, Ronald C. Cohen, William H. Brune, Steven S. Brown, Glenn M. Wolfe, Jose L. Jimenez, Havala O. T. Pye, Nga Lee Ng, Lu Xu, V. Faye McNeill, Kostas Tsigaridis, Brian C. McDonald, Carsten Warneke, Alex Guenther, Matthew J. Alvarado, Joost de Gouw, Loretta J. Mickley, Eric M. Leibensperger, Rohit Mathur, Christopher G. Nolte, Robert W. Portmann, Nadine Unger, Mika Tosca, and Larry W. Horowitz


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
AR by Jingqiu Mao on behalf of the Authors (08 Jan 2018)  Manuscript 
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.
Final-revised paper