Positive matrix factorization of organic aerosol: insights from a chemical transport model

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Interpretation of organic components from positive matrix factorization of aerosol mass spectrometric data

The organic aerosol (OA) dataset from an Aerodyne Aerosol Mass Spectrometer (Q-AMS) collected at the Pittsburgh Air Quality Study (PAQS) in September 2002 was analyzed with Positive Matrix Factorization (PMF). Three components – hydrocarbon-like organic aerosol OA (HOA), a highly-oxygenated OA (OOA-1) that correlates well with sulfate, and a less-oxygenated, semi-volatile OA (OOA-2) that correl...

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Interactive comment on “Interpretation of organic components from positive matrix factorization of aerosol mass spectrometric data” by I. M. Ulbrich

This manuscript contains an extensive analysis of what happens when Q-mode Aerosol Mass Spectrometer (Q-AMS) data are analyzed by the PMF model, using the program PMF2. The authors have attempted to find limits of what may be reliably deduced about the sources of organic aerosol in such analysis. As a result of their work, they express caveats against interpreting the results too strongly. This...

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Interactive comment on “Interpretation of organic components from positive matrix factorization of aerosol mass spectrometric data” by I. M. Ulbrich

My first review submission has caused misunderstandings. (1) I wrote that a second review is needed. This means the following: when a number of changes are requested in a manuscript, then the editors often wish to know if the reviewer(s) wish to see the final manuscript before it is accepted for publication. In this case, I request a number of changes. My remark about the second review means th...

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ژورنال

عنوان ژورنال: Atmospheric Chemistry and Physics

سال: 2019

ISSN: 1680-7324

DOI: 10.5194/acp-19-973-2019