Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2831-2024
https://doi.org/10.5194/essd-16-2831-2024
Data description paper
 | 
19 Jun 2024
Data description paper |  | 19 Jun 2024

A Level 3 monthly gridded ice cloud dataset derived from 12 years of CALIOP measurements

David Winker, Xia Cai, Mark Vaughan, Anne Garnier, Brian Magill, Melody Avery, and Brian Getzewich

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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-2023-373', Anonymous Referee #1, 13 Dec 2023
  • RC2: 'Comment on essd-2023-373', Anonymous Referee #2, 09 Jan 2024
  • AC1: 'Reply to Reviewer #1', David Winker, 03 Mar 2024
  • AC2: 'Reply to Reviewer #2', David Winker, 03 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by David Winker on behalf of the Authors (14 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (28 Mar 2024) by Jing Wei
AR by David Winker on behalf of the Authors (06 Apr 2024)
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Short summary
Clouds play important roles in both weather and climate. In this paper we describe version 1.0 of a unique global ice cloud data product derived from over 12 years of global spaceborne lidar measurements. This monthly gridded product provides a unique vertically resolved characterization of the occurrence and properties, optical and physical, of thin ice clouds and the tops of deep convective clouds. It should provide significant value for cloud research and model evaluation.
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