Patterns in atmospheric carbonaceous aerosols in China: emission estimates and observed concentrations

Cui, H.; Mao, P.; Zhao, Y.; Nielsen, C. P.; Zhang, J.

doi:https://doi.org/10.5194/acp-15-8657-2015

Articles | Volume 15, issue 15

https://doi.org/10.5194/acp-15-8657-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-8657-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 15

Research article

|

06 Aug 2015

Research article |

| 06 Aug 2015

Patterns in atmospheric carbonaceous aerosols in China: emission estimates and observed concentrations

H. Cui, P. Mao, Y. Zhao, C. P. Nielsen, and J. Zhang

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Final revised paper (published on 06 Aug 2015)
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Preprint (discussion started on 25 Mar 2015)
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Interactive discussion

Status: closed

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

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- Supplement

RC C1801: 'Review of "Patterns in atmospheric carbonaceous aerosols in China" by Cui et al.', Anonymous Referee #1, 22 Apr 2015
- AC C4175: 'Main revisions and response to reviewer 1’s comments', Yu Zhao, 01 Jul 2015
RC C2201: 'Interactive comment on “Patterns in atmospheric carbonaceous aerosols in China: emission estimates and observed concentrations”', Anonymous Referee #2, 04 May 2015
- AC C4181: 'Main revisions and response to reviewer 2’s comments', Yu Zhao, 01 Jul 2015

Peer-review completion

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

AR by Yu Zhao on behalf of the Authors (01 Jul 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (08 Jul 2015) by John Liggio

RR by Anonymous Referee #2 (19 Jul 2015)

ED: Publish as is (20 Jul 2015) by John Liggio

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Short summary

We present an emission inventory with quantified uncertainties of organic carbon (OC) and elemental carbon (EC) in China. New emission factors from local measurements lead to lower OC emissions than previous studies. We use ground observations to test the levels, trends, and spatial pattern of the emissions. The improvement over prior inventories is indicated by inter-annual comparison and correlation analysis between emissions and observations. Sources with high primary OC/EC are underestimate.