Articles | Volume 11, issue 4
Earth Syst. Sci. Data, 11, 1745–1764, 2019
https://doi.org/10.5194/essd-11-1745-2019
Earth Syst. Sci. Data, 11, 1745–1764, 2019
https://doi.org/10.5194/essd-11-1745-2019
Data description paper
25 Nov 2019
Data description paper | 25 Nov 2019

The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD)

Grégory Cesana et al.

Viewed

Total article views: 3,139 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,157 952 30 3,139 259 42 35
  • HTML: 2,157
  • PDF: 952
  • XML: 30
  • Total: 3,139
  • Supplement: 259
  • BibTeX: 42
  • EndNote: 35
Views and downloads (calculated since 22 May 2019)
Cumulative views and downloads (calculated since 22 May 2019)

Viewed (geographical distribution)

Total article views: 2,671 (including HTML, PDF, and XML) Thereof 2,572 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 28 Jun 2022
Download
Short summary
Low clouds (cloud top below 3 km) drive most of the uncertainty in future climate projections. Here we create a new dataset, the Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD), which identifies the different types of low clouds – stratocumulus and cumulus – based on their morphology. CASCCAD provides a basis to evaluate climate models and potentially improve our understanding of the cloud response to climate warming, as well as reduce the uncertainty in future climate projection.