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.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gregory Cesana on behalf of the Authors (06 Sep 2019)  Author's response    Manuscript
ED: Publish as is (23 Sep 2019) by Alexander Kokhanovsky
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.