Continental anthropogenic primary particle number emissions

Paasonen, Pauli; Kupiainen, Kaarle; Klimont, Zbigniew; Visschedijk, Antoon; Denier van der Gon, Hugo A. C.; Amann, Markus

doi:https://doi.org/10.5194/acp-16-6823-2016

Articles | Volume 16, issue 11

https://doi.org/10.5194/acp-16-6823-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-16-6823-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 16, issue 11

Research article

|

06 Jun 2016

Research article |

| 06 Jun 2016

Continental anthropogenic primary particle number emissions

Pauli Paasonen, Kaarle Kupiainen, Zbigniew Klimont, Antoon Visschedijk, Hugo A. C. Denier van der Gon, and Markus Amann

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Final revised paper (published on 06 Jun 2016)
Preprint (discussion started on 19 Jan 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of "Continental anthropogenic primary particle number emissions" by Paasonen et al.', Anonymous Referee #1, 21 Feb 2016
- AC1: 'Response to referee 1', Pauli Paasonen, 25 Apr 2016
RC2: 'Review', Anonymous Referee #2, 07 Mar 2016
- AC2: 'Response to referee 2', Pauli Paasonen, 25 Apr 2016

Peer-review completion

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

AR by Pauli Paasonen on behalf of the Authors (25 Apr 2016) Author's response Manuscript

ED: Publish as is (25 Apr 2016) by Radovan Krejci

AR by Pauli Paasonen on behalf of the Authors (04 May 2016)

Short summary

In this paper we show the first results of size-segregated anthropogenic particle number emissions from the GAINS emission scenario model. The shares of different sources and their predicted changes from 2010 to 2030 are described, showing clear difference in sources dominating the particle number and mass emissions. We also point out the main uncertainties in number emissions. The GAINS particle number emissions can be applied in improving the evaluation of aerosol climate and health effects.