Processes controlling the annual cycle of Arctic aerosol number and size  distributions

Croft, Betty; Martin, Randall V.; Leaitch, W. Richard; Tunved, Peter; Breider, Thomas J.; D'Andrea, Stephen D.; Pierce, Jeffrey R.

doi:https://doi.org/10.5194/acp-16-3665-2016

Articles | Volume 16, issue 6

https://doi.org/10.5194/acp-16-3665-2016

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

Special issue:

NETCARE (Network on Aerosols and Climate: Addressing Key Uncertainties...

https://doi.org/10.5194/acp-16-3665-2016

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

Articles | Volume 16, issue 6

Research article

|

21 Mar 2016

Research article |

| 21 Mar 2016

Processes controlling the annual cycle of Arctic aerosol number and size distributions

Betty Croft, Randall V. Martin, W. Richard Leaitch, Peter Tunved, Thomas J. Breider, Stephen D. D'Andrea, and Jeffrey R. Pierce

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Final revised paper (published on 21 Mar 2016)
Preprint (discussion started on 27 Oct 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C9453: 'Nice study idea but biased analysis', Anonymous Referee #1, 18 Nov 2015
RC C9654: 'Referee comments for Croft et al. (2015)', Anonymous Referee #2, 23 Nov 2015
- AC C12679: 'Response to Referee 2', Betty Croft, 23 Feb 2016
AC C12666: 'Response to Referee 1', Betty Croft, 23 Feb 2016

Peer-review completion

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

AR by Betty Croft on behalf of the Authors (23 Feb 2016) Author's response Manuscript

ED: Referee Nomination & Report Request started (25 Feb 2016) by Hailong Wang

RR by Anonymous Referee #2 (06 Mar 2016)

RR by Anonymous Referee #1 (07 Mar 2016)

ED: Publish as is (08 Mar 2016) by Hailong Wang

AR by Betty Croft on behalf of the Authors (10 Mar 2016)

Short summary

Measurements at high-Arctic sites show a strong annual cycle in atmospheric particle number and size. Previous studies identified poor scientific understanding related to global model representation of Arctic particle number and size, limiting ability to simulate this environment. Here we evaluate state-of-science ability to simulate Arctic particles using GEOS-Chem-TOMAS model, documenting key roles and interconnections of particle formation, cloud-related processes and remaining uncertainties.