Articles | Volume 16, issue 19
Atmos. Chem. Phys., 16, 12715–12731, 2016
https://doi.org/10.5194/acp-16-12715-2016
Atmos. Chem. Phys., 16, 12715–12731, 2016
https://doi.org/10.5194/acp-16-12715-2016

Research article 12 Oct 2016

Research article | 12 Oct 2016

Source characterization of highly oxidized multifunctional compounds in a boreal forest environment using positive matrix factorization

Chao Yan et al.

Data sets

PMF input (data matrix) and optimal PMF output Chao Yan https://etsin.avointiede.fi/dataset/urn-nbn-fi-csc-kata20161006183507547233

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Short summary
Highly oxidized multifunctional compounds (HOMs) are known to have a significant contribution to secondary aerosol formation, yet their dominating formation pathways remain unclear in the atmosphere. We apply positive matrix factorization (PMF) on HOM data, and successfully retrieve factors representing different formation pathways. The results improve our understanding of HOM formation, and provide new perspectives on using PMF to study the variation of short-lived specie.
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