Chemical identification of new particle formation and growth precursors through positive matrix factorization of ambient ion measurements

Katz, Daniel John; Abdelhamid, Aroob; Stark, Harald; Canagaratna, Manjula R.; Worsnop, Douglas R.; Browne, Eleanor C.

doi:https://doi.org/10.5194/acp-23-5567-2023

Articles | Volume 23, issue 9

https://doi.org/10.5194/acp-23-5567-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-5567-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 9

Research article

|

17 May 2023

Research article |

| 17 May 2023

Chemical identification of new particle formation and growth precursors through positive matrix factorization of ambient ion measurements

Daniel John Katz, Aroob Abdelhamid, Harald Stark, Manjula R. Canagaratna, Douglas R. Worsnop, and Eleanor C. Browne

Supplement

https://doi.org/10.5194/acp-23-5567-2023-supplement

Data sets

Browne binPMF HISCALE SGP 2016 Daniel Katz and Eleanor Browne https://doi.org/10.25810/2e97-dt18

Total Ambient Ion Count using Atmosphere Pressure Interface Time-of-Flight (APITOF) Mass Spectrometer Daniel Katz and Eleanor Browne https://doi.org/10.5439/1902245

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Short summary

Ambient ion chemical composition measurements provide insight into trace gases that are precursors for the formation and growth of new aerosol particles. We use a new data analysis approach to increase the chemical information from these measurements. We analyze results from an agricultural region, a little studied land use type that is ~41 % of global land use, and find that the composition of gases important for aerosol formation and growth differs significantly from that in other ecosystems.