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

Supplement

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

Data sets

The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD) G. Cesana https://doi.org/10.5281/zenodo.2667637

Advances in Understanding Clouds from ISCCP W. B. Rossow and R. A. Schiffer https://climserv.ipsl.polytechnique.fr/cfmip-obs/Isccp.html

Global weather states from ISCCP D1 cloud dataset ISCCP https://isccp.giss.nasa.gov/wstates/gcluster.html

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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.