The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD)

Cesana, Grégory; Del Genio, Anthony D.; Chepfer, Hélène

doi:https://doi.org/10.5194/essd-11-1745-2019

Articles | Volume 11, issue 4

https://doi.org/10.5194/essd-11-1745-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-11-1745-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Data description paper

|

25 Nov 2019

Data description paper |

| 25 Nov 2019

The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD)

Grégory Cesana, Anthony D. Del Genio, and Hélène Chepfer

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Final revised paper (published on 25 Nov 2019)
Supplement to the final revised paper
Preprint (discussion started on 22 May 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'referee review', Anonymous Referee #1, 28 May 2019
- AC1: 'Response to reviewer 1 comments', Gregory Cesana, 06 Sep 2019
RC2: 'anonymous review of Cesana et al.', Anonymous Referee #2, 09 Jul 2019
- AC2: 'Response to reviewer 2 comments', Gregory Cesana, 06 Sep 2019

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

AR by Gregory Cesana on behalf of the Authors (25 Sep 2019)

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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.