Articles | Volume 16, issue 7
Research article
17 Apr 2023
Research article |  | 17 Apr 2023

Use of lidar aerosol extinction and backscatter coefficients to estimate cloud condensation nuclei (CCN) concentrations in the southeast Atlantic

Emily D. Lenhardt, Lan Gao, Jens Redemann, Feng Xu, Sharon P. Burton, Brian Cairns, Ian Chang, Richard A. Ferrare, Chris A. Hostetler, Pablo E. Saide, Calvin Howes, Yohei Shinozuka, Snorre Stamnes, Mary Kacarab, Amie Dobracki, Jenny Wong, Steffen Freitag, and Athanasios Nenes


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on amt-2022-262', Goutam Choudhury, 10 Nov 2022
    • AC1: 'Reply on CC1', Emily Lenhardt, 19 Dec 2022
  • RC1: 'Comment on amt-2022-262', Anonymous Referee #1, 14 Dec 2022
  • RC2: 'Comment on amt-2022-262', Anonymous Referee #2, 22 Dec 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Emily Lenhardt on behalf of the Authors (14 Feb 2023)
EF by Anna Mirena Feist-Polner (20 Feb 2023)  Manuscript   Author's response   Author's tracked changes 
ED: Referee Nomination & Report Request started (24 Feb 2023) by Edward Nowottnick
RR by Anonymous Referee #2 (10 Mar 2023)
ED: Publish as is (16 Mar 2023) by Edward Nowottnick
AR by Emily Lenhardt on behalf of the Authors (20 Mar 2023)
Short summary
Small atmospheric particles, such as smoke from wildfires or pollutants from human activities, impact cloud properties, and clouds have a strong influence on climate. To better understand the distributions of these particles, we develop relationships to derive their concentrations from remote sensing measurements from an instrument called a lidar. Our method is reliable for smoke particles, and similar steps can be taken to develop relationships for other particle types.