Errors in nanoparticle growth rates inferred from measurements in chemically reacting aerosol systems

Li, Chenxi; McMurry, Peter H.

doi:https://doi.org/10.5194/acp-18-8979-2018

Articles | Volume 18, issue 12

https://doi.org/10.5194/acp-18-8979-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-18-8979-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 12

Research article

|

28 Jun 2018

Research article |

| 28 Jun 2018

Errors in nanoparticle growth rates inferred from measurements in chemically reacting aerosol systems

Chenxi Li and Peter H. McMurry

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Final revised paper (published on 28 Jun 2018)
Preprint (discussion started on 26 Mar 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment on "Errors in Nanoparticle Growth Rates Inferred from Measurements in Chemically Reacting Aerosol Systems"', Anonymous Referee #1, 18 Apr 2018
- AC2: 'replies to referee #1', Chenxi Li, 26 May 2018
RC2: 'Review of "Errors in Nanoparticle Growth Rates Inferred from Measurements in Chemically Reacting Aerosol Systems"', Anonymous Referee #2, 23 Apr 2018
- AC1: 'replies to referee #2', Chenxi Li, 26 May 2018

Peer-review completion

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

AR by Chenxi Li on behalf of the Authors (26 May 2018) Author's response Manuscript

ED: Publish as is (11 Jun 2018) by Hang Su

AR by Chenxi Li on behalf of the Authors (13 Jun 2018) Manuscript

Short summary

This paper discusses errors that arise when nanoparticle growth rates are inferred from aerosol measurements. While our approach involves computation, we cast the problem in a nondimensional form that allows us to explore quite generally the range of errors that can occur. We believe this is a significant conceptual advance that may help to inform uncertainty estimates made from atmospheric data.