A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data

A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data

<p>A new methodology for performing long-term source apportionment (SA) using positive matrix factorization (PMF) is presented. The method is implemented within the SoFi Pro software package and uses the multilinear engine (ME-2) as a PMF solver. The technique is applied to a 1-year aerosol c...

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Bibliographic Details
Main Authors: F. Canonaco, A. Tobler, G. Chen, Y. Sosedova, J. G. Slowik, C. Bozzetti, K. R. Daellenbach, I. El Haddad, M. Crippa, R.-J. Huang, M. Furger, U. Baltensperger, A. S. H. Prévôt
Format: Article
Language:English
Published: Copernicus Publications 2021-02-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/923/2021/amt-14-923-2021.pdf

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https://amt.copernicus.org/articles/14/923/2021/amt-14-923-2021.pdf

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