Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 6
Articles | Volume 16, issue 6
https://doi.org/10.5194/essd-16-2831-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-2831-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 6
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

Viewed

Total article views: 556 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
380 126 50 556 52 38 38
  • HTML: 380
  • PDF: 126
  • XML: 50
  • Total: 556
  • Supplement: 52
  • BibTeX: 38
  • EndNote: 38
Views and downloads (calculated since 20 Nov 2023)
Cumulative views and downloads (calculated since 20 Nov 2023)

Viewed (geographical distribution)

Total article views: 556 (including HTML, PDF, and XML) Thereof 546 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint