Generalized Kendrick analysis for improved visualization of atmospheric mass spectral data

Alton, Mitchell W.; Stark, Harald J.; Canagaratna, Manjula R.; Browne, Eleanor C.

doi:https://doi.org/10.5194/amt-16-3273-2023

Articles | Volume 16, issue 12

https://doi.org/10.5194/amt-16-3273-2023

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

https://doi.org/10.5194/amt-16-3273-2023

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

Articles | Volume 16, issue 12

Research article

|

29 Jun 2023

Research article |

| 29 Jun 2023

Generalized Kendrick analysis for improved visualization of atmospheric mass spectral data

Mitchell W. Alton, Harald J. Stark, Manjula R. Canagaratna, and Eleanor C. Browne

Supplement

https://doi.org/10.5194/amt-16-3273-2023-supplement

Data sets

GKA Data Availability M. W. Alton, H. J. Stark, M. R. Canagaratna, E. C. Browne https://doi.org/10.17605/OSF.IO/WC2KM

Model code and software

GKA panel Mitchell Alton, Harald Stark, Eleanor Browne https://github.com/BrowneLab/GeneralizedKendrickAnalysis_Panel

Short summary

Mass spectrometric measurements of atmospheric composition routinely detect hundreds of different ions of varying chemical composition, creating challenges for visualization and data interpretation. We present a new analysis technique to facilitate visualization, while providing greater chemical insight. Additionally, it can aid in identifying the chemical composition of ions. A graphical user interface for performing the analysis is introduced and freely available, enabling broad applications.