Articles | Volume 16, issue 12
https://doi.org/10.5194/amt-16-3273-2023
https://doi.org/10.5194/amt-16-3273-2023
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

Viewed

Total article views: 2,562 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,801 657 104 2,562 199 117 149
  • HTML: 1,801
  • PDF: 657
  • XML: 104
  • Total: 2,562
  • Supplement: 199
  • BibTeX: 117
  • EndNote: 149
Views and downloads (calculated since 09 Dec 2022)
Cumulative views and downloads (calculated since 09 Dec 2022)

Viewed (geographical distribution)

Total article views: 2,562 (including HTML, PDF, and XML) Thereof 2,550 with geography defined and 12 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Dec 2025
Download
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.
Share