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

Li, Ziyue; D'Ambro, Emma L.; Schobesberger, Siegfried; Gaston, Cassandra J.; Lopez-Hilfiker, Felipe D.; Liu, Jiumeng; Shilling, John E.; Thornton, Joel A.; Cappa, Christopher D.

doi:https://doi.org/10.5194/acp-20-2489-2020

Articles | Volume 20, issue 4

https://doi.org/10.5194/acp-20-2489-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-20-2489-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 4

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, Emma L. D'Ambro, Siegfried Schobesberger, Cassandra J. Gaston, Felipe D. Lopez-Hilfiker, Jiumeng Liu, John E. Shilling, Joel A. Thornton, and Christopher D. Cappa

Supplement

https://doi.org/10.5194/acp-20-2489-2020-supplement

Data sets

Initial application of the noise-sorted scanning clustering algorithm to the analysis of composition-dependent organic aerosol thermal desorption measurements C. D. Cappa, Z. Li, E. L. D'Ambro, S. Schobesberger, J. E. Shilling, F. Lopez-Hilfiker, J. Liu, C. J. Gaston, and J. A. Thornton https://doi.org/10.25338/B87S43

Model code and software

Noise Sorted Scanning Clustering Algorithm Z. Li and C. D. Cappa https://doi.org/10.5281/zenodo.3361797

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Short summary

We discuss the development and application of a robust clustering method for the interpretation...