Articles | Volume 20, issue 4
Atmos. Chem. Phys., 20, 2489–2512, 2020
https://doi.org/10.5194/acp-20-2489-2020
Atmos. Chem. Phys., 20, 2489–2512, 2020
https://doi.org/10.5194/acp-20-2489-2020

Research article 02 Mar 2020

Research article | 02 Mar 2020

A robust clustering algorithm for analysis of composition-dependent organic aerosol thermal desorption measurements

Ziyue Li et al.

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AR by Ziyue Li on behalf of the Authors (04 Dec 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (21 Jan 2020) by Rob MacKenzie
AR by Ziyue Li on behalf of the Authors (26 Jan 2020)  Author's response    Manuscript
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Short summary
We discuss the development and application of a robust clustering method for the interpretation of compound-specific organic aerosol thermal desorption profiles. We demonstrate the utility of clustering for analysis and interpretation of the composition and volatility of secondary organic aerosol. We show that the thermal desorption profiles are represented by only 9–13 distinct clusters, with the number of clusters obtained dependent on the precursor and formation conditions.
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