Articles | Volume 23, issue 9
https://doi.org/10.5194/acp-23-5567-2023
https://doi.org/10.5194/acp-23-5567-2023
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

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1318', Anonymous Referee #1, 28 Dec 2022
  • RC2: 'Comment on egusphere-2022-1318', Anonymous Referee #2, 10 Jan 2023
  • RC3: 'Comment on egusphere-2022-1318', Anonymous Referee #3, 14 Jan 2023
  • AC1: 'Response to Referee Comments', Eleanor Browne, 16 Mar 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 (16 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (21 Mar 2023) by Qi Chen
AR by Eleanor Browne on behalf of the Authors (24 Mar 2023)
Download
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.
Altmetrics
Final-revised paper
Preprint