Articles | Volume 19, issue 6
Atmos. Chem. Phys., 19, 3645–3672, 2019
Atmos. Chem. Phys., 19, 3645–3672, 2019

Research article 21 Mar 2019

Research article | 21 Mar 2019

Constructing a data-driven receptor model for organic and inorganic aerosol – a synthesis analysis of eight mass spectrometric data sets from a boreal forest site

Mikko Äijälä et al.

Data sets

Aerosol chemical composition results for SMEAR II 2008-2011 from r-CMB model results M. Äijälä, K. R. Daellenbach, F. Canonaco, L. Heikkinen, H. Junninen, T. Petäjä, M. Kulmala, A. S. H. Prévôt, and M. Ehn

Short summary
Aerosol mass spectrometry produces large amounts of complex data, the analysis of which necessitates chemometrics – the application of advanced statistical and mathematical tools to chemical data. Here, we perform a data-driven analysis of multiple aerosol mass spectrometric data sets, to show that the traditional separation of organics and inorganics is not necessary. The resulting 7-component aerosol speciation explains 83 % to 96 % of observed variability at our boreal forest experiment site.
Final-revised paper