Journal cover Journal topic
Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
Atmos. Chem. Phys., 17, 3165-3197, 2017
https://doi.org/10.5194/acp-17-3165-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
01 Mar 2017
Resolving anthropogenic aerosol pollution types – deconvolution and exploratory classification of pollution events
Mikko Äijälä et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review', Anonymous Referee #1, 21 Sep 2016 Printer-friendly Version 
AC1: 'Authors' response to Anonymous Referee #1', M. Äijälä, 29 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Review of Aijala et al.', Anonymous Referee #2, 11 Oct 2016 Printer-friendly Version 
AC2: 'Authors' response to Anonymous Referee #2', M. Äijälä, 29 Nov 2016 Printer-friendly Version Supplement 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by M. Äijälä on behalf of the Authors (30 Nov 2016)  Author's response  Manuscript
ED: Publish as is (09 Jan 2017) by Dominick Spracklen
CC BY 4.0
Publications Copernicus
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Short summary
Mass spectrometric measurements commonly yield data on hundreds of variables over thousands of points in time. Refining and synthesising this “raw” data into chemical information necessitates the use of advanced, statistics-based data analysis techniques. Here we present an example of combining data dimensionality reduction (factorisation) with exploratory classification (clustering) and show that the results complement and broaden our current perspectives on aerosol chemical classification.
Mass spectrometric measurements commonly yield data on hundreds of variables over thousands of...
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