Articles | Volume 12, issue 4
https://doi.org/10.5194/amt-12-2219-2019
https://doi.org/10.5194/amt-12-2219-2019
Research article
 | 
10 Apr 2019
Research article |  | 10 Apr 2019

Understanding atmospheric aerosol particles with improved particle identification and quantification by single-particle mass spectrometry

Xiaoli Shen, Harald Saathoff, Wei Huang, Claudia Mohr, Ramakrishna Ramisetty, and Thomas Leisner

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiaoli Shen on behalf of the Authors (28 Jan 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Jan 2019) by Mingjin Tang
RR by Anonymous Referee #1 (18 Feb 2019)
RR by Anonymous Referee #3 (06 Mar 2019)
RR by Anonymous Referee #4 (07 Mar 2019)
ED: Reconsider after major revisions (07 Mar 2019) by Mingjin Tang
AR by Xiaoli Shen on behalf of the Authors (18 Mar 2019)  Author's response   Manuscript 
ED: Publish as is (22 Mar 2019) by Mingjin Tang
AR by Xiaoli Shen on behalf of the Authors (22 Mar 2019)  Manuscript 
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Short summary
Based on single-particle mass spectra from field measurements in the upper Rhine valley, we identified characteristic particle classes and estimated their mass contributions without the need of a reference instrument in the field. Our study provides a good example for quantitative interpretation of single-particle data. Together with the complimentary results from bulk measurements, we have shown how a better understanding of the mixing state of ambient aerosol particles can be achieved.