Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3747-2023
https://doi.org/10.5194/essd-15-3747-2023
Data description paper
 | 
22 Aug 2023
Data description paper |  | 22 Aug 2023

A first global height-resolved cloud condensation nuclei data set derived from spaceborne 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 essd-2023-91', Anonymous Referee #1, 18 Apr 2023
  • RC2: 'Comment on essd-2023-91', Anonymous Referee #2, 25 Apr 2023
  • AC1: 'Comment on essd-2023-91', Goutam Choudhury, 28 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Goutam Choudhury on behalf of the Authors (28 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (01 Jun 2023) by Luis Millan
RR by Anonymous Referee #1 (17 Jun 2023)
ED: Publish subject to minor revisions (review by editor) (20 Jun 2023) by Luis Millan
AR by Goutam Choudhury on behalf of the Authors (29 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Jul 2023) by Luis Millan
AR by Goutam Choudhury on behalf of the Authors (17 Jul 2023)
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Short summary
Aerosols in the atmosphere that can form liquid cloud droplets are called cloud condensation nuclei (CCN). Accurate measurements of CCN, especially CCN of anthropogenic origin, are necessary to quantify the effect of anthropogenic aerosols on the present-day as well as future climate. In this paper, we describe a novel global 3D CCN data set calculated from satellite measurements. We also discuss the potential applications of the data in the context of aerosol–cloud interactions.
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