Articles | Volume 17, issue 4
Atmos. Chem. Phys., 17, 3165–3197, 2017
https://doi.org/10.5194/acp-17-3165-2017

Special issue: Pan-Eurasian Experiment (PEEX)

Atmos. Chem. Phys., 17, 3165–3197, 2017
https://doi.org/10.5194/acp-17-3165-2017

Research article 01 Mar 2017

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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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
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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.
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