Articles | Volume 15, issue 3
Atmos. Meas. Tech., 15, 639–654, 2022
https://doi.org/10.5194/amt-15-639-2022
Atmos. Meas. Tech., 15, 639–654, 2022
https://doi.org/10.5194/amt-15-639-2022

Research article 08 Feb 2022

Research article | 08 Feb 2022

Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements

Goutam Choudhury and Matthias Tesche

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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 amt-2021-358', Aristeidis Georgoulias, 23 Nov 2021
    • AC1: 'Reply on RC1', Goutam Choudhury, 11 Dec 2021
  • RC2: 'Comment on amt-2021-358', Anonymous Referee #2, 30 Nov 2021
    • AC2: 'Reply on RC2', Goutam Choudhury, 11 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Goutam Choudhury on behalf of the Authors (11 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (10 Jan 2022) by Otto Hasekamp
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Short summary
Aerosols are tiny particles suspended in the atmosphere. A fraction of these particles can form clouds and are called cloud condensation nuclei (CCN). Measurements of such aerosol particles are necessary to study the aerosol–cloud interactions and reduce the uncertainty in our future climate predictions. We present a novel methodology to estimate global 3D CCN concentrations from the CALIPSO satellite measurements. The final data set will be used to study the aerosol–cloud interactions.