Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 4387-4399, 2017
http://www.atmos-chem-phys.net/17/4387/2017/
doi:10.5194/acp-17-4387-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Research article
31 Mar 2017
Estimates of the organic aerosol volatility in a boreal forest using two independent methods
Juan Hong et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version      Supplement - Supplement
 
RC1: 'Review of acp-2016-774', Anonymous Referee #2, 14 Oct 2016 Printer-friendly Version Supplement 
 
RC2: 'Reviewer comments', Anonymous Referee #1, 22 Dec 2016 Printer-friendly Version 
AC2: 'Answers to Referee#2's comments', Juan Hong, 06 Feb 2017 Printer-friendly Version Supplement 
 
AC1: 'Answers to Referee#1's comments', Juan Hong, 06 Feb 2017 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Juan Hong on behalf of the Authors (15 Feb 2017)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (18 Feb 2017) by James Allan
RR by Anonymous Referee #2 (20 Feb 2017)  
RR by Anonymous Referee #1 (07 Mar 2017)
ED: Publish as is (08 Mar 2017) by James Allan
Publications Copernicus
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Short summary
Estimates of volatility of secondary organic aerosols was characterized in a boreal forest environment of Hyytiälä, southern Finland. This was done by interpreting field measurements using a volatility tandem differential mobility analyzer (VTDMA) with a kinetic evaporation model and by applying positive matrix factorization (PMF) to high-resolution aerosol mass spectrometer data. About 16 % of the variation can be explained by the linear regression between the results from these two methods.
Estimates of volatility of secondary organic aerosols was characterized in a boreal forest...
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