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.

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
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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