Articles | Volume 19, issue 15
https://doi.org/10.5194/amt-19-5051-2026
https://doi.org/10.5194/amt-19-5051-2026
Research article
 | 
06 Aug 2026
Research article |  | 06 Aug 2026

Improving the confidence in retrievals of vertical distributions of cloud condensation nuclei number concentration from ARM supported by aircraft in situ observations

Jingjing Tian, Gourihar Kulkarni, Jennifer M. Comstock, John E. Shilling, Damao Zhang, Peng Wu, and Fan Mei

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-1432', Anonymous Referee #1, 21 May 2026
    • AC1: 'Reply on RC1', Jingjing Tian, 30 Jun 2026
  • RC2: 'Comment on egusphere-2026-1432', Anonymous Referee #2, 29 May 2026
    • AC2: 'Reply on RC2', Jingjing Tian, 30 Jun 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Jingjing Tian on behalf of the Authors (30 Jun 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Jul 2026) by Anthony Bucholtz
AR by Jingjing Tian on behalf of the Authors (14 Jul 2026)  Manuscript 
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Short summary
Cloud condensation nuclei are tiny particles that attract water vapor and help form clouds. A ground-based lidar method can estimate their number at different heights, but assumes the aerosol type does not change with height. Comparisons with aircraft data show good agreement of this method when aerosols are well mixed, but larger errors when stacked layers occur. We also developed an index to flag these complex conditions and indicate when this estimation method is more reliable.
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