Articles | Volume 18, issue 2
Atmos. Chem. Phys., 18, 1395–1417, 2018
https://doi.org/10.5194/acp-18-1395-2018

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 18, 1395–1417, 2018
https://doi.org/10.5194/acp-18-1395-2018

Research article 01 Feb 2018

Research article | 01 Feb 2018

Emission or atmospheric processes? An attempt to attribute the source of large bias of aerosols in eastern China simulated by global climate models

Tianyi Fan 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 Fan Tianyi on behalf of the Authors (12 Mar 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (20 Mar 2017) by Tong Zhu
RR by Anonymous Referee #1 (27 Mar 2017)
RR by Anonymous Referee #3 (02 Apr 2017)
ED: Reject (24 Apr 2017) by Tong Zhu
ED: Reconsider after major revisions (03 Jul 2017) by Tong Zhu
AR by Fan Tianyi on behalf of the Authors (05 Jul 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Jul 2017) by Tong Zhu
RR by Anonymous Referee #4 (08 Aug 2017)
RR by Anonymous Referee #5 (21 Aug 2017)
ED: Reconsider after major revisions (06 Sep 2017) by Tong Zhu
AR by Anna Wenzel on behalf of the Authors (19 Oct 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (31 Oct 2017) by Tong Zhu
RR by Anonymous Referee #5 (06 Dec 2017)
ED: Publish subject to minor revisions (review by editor) (07 Dec 2017) by Tong Zhu
AR by Fan Tianyi on behalf of the Authors (17 Dec 2017)  Author's response    Manuscript
ED: Publish as is (26 Dec 2017) by Tong Zhu
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Short summary
We found that 22–28 % of the low AOD bias in eastern China simulated by the Community Atmosphere Model version 5 can be improved by using a new emission inventory. The concentrations of primary aerosols are closely related to the emission, while the seasonal variations of secondary aerosols depend more on atmospheric processes. This study highlights the importance of improving both the emission and atmospheric processes in modeling the atmospheric aerosols and their radiative effects.
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