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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-1319: mass excess', Marc Gonin, 13 Dec 2022
  • CC2: 'Comment on egusphere-2022-1319: mass vs mas/charge', Marc Gonin, 13 Dec 2022
    • RC2: 'Reply on CC2', Thierry Fouquet, 06 Jan 2023
  • RC1: 'Comment on egusphere-2022-1319', Thierry Fouquet, 06 Jan 2023
  • RC3: 'RC2', Anonymous Referee #2, 31 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Eleanor Browne on behalf of the Authors (24 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Apr 2023) by Bin Yuan
ED: Publish subject to technical corrections (25 May 2023) by Bin Yuan
AR by Eleanor Browne on behalf of the Authors (26 May 2023)  Author's response   Manuscript 
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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.