Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3019-2019
https://doi.org/10.5194/amt-12-3019-2019
Research article
 | 
04 Jun 2019
Research article |  | 04 Jun 2019

Identification of platform exhaust on the RV Investigator

Ruhi S. Humphries, Ian M. McRobert, Will A. Ponsonby, Jason P. Ward, Melita D. Keywood, Zoe M. Loh, Paul B. Krummel, and James Harnwell

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ruhi Humphries on behalf of the Authors (08 Feb 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (08 Feb 2019) by Wiebke Frey
RR by Anonymous Referee #2 (26 Feb 2019)
RR by Anonymous Referee #1 (03 Mar 2019)
ED: Reconsider after major revisions (07 Mar 2019) by Wiebke Frey
AR by Ruhi Humphries on behalf of the Authors (01 Apr 2019)  Manuscript 
ED: Publish subject to minor revisions (review by editor) (10 Apr 2019) by Wiebke Frey
AR by Ruhi Humphries on behalf of the Authors (11 Apr 2019)  Author's response   Manuscript 
ED: Publish subject to minor revisions (review by editor) (03 May 2019) by Wiebke Frey
AR by Ruhi Humphries on behalf of the Authors (06 May 2019)  Author's response   Manuscript 
ED: Publish as is (07 May 2019) by Wiebke Frey
AR by Ruhi Humphries on behalf of the Authors (08 May 2019)  Manuscript 
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Short summary
Undertaking atmospheric observations from ships provides important data in regions where measurements are impossible by other means. However, making measurements so close to a diesel exhaust plume is difficult. In this paper, we describe an algorithm that utilises ongoing measurements of aerosol number concentrations, black carbon mass concentrations, and mixing ratios of carbon monoxide and carbon dioxide to accurately distinguish between exhaust and background data periods.