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.

Data sets

Cluster centroid spectra AMS Spectral Database http://cires1.colorado.edu/jimenez-group/AMSsd/

De-convolved mass spectra from the air pollution events and their classification solution M. Äijälä, H. Junninen, T. Petäjä, M. Kulmala, D. Worsnop, and M. Ehn https://etsin.avointiede.fi/dataset/urn-nbn-fi-csc-kata20170118173805948017

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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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