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.

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Cited articles

Albrecht, B. A., Bretherton, C. S., Johnson, D., Scubert, W. H., and Frisch, A. S.: The Atlantic Stratocumulus Transition Experiment – ASTEX, B. Am. Meteorol. Soc., 76, 889–904, https://doi.org/10.1175/1520-0477(1995)076<0889:TASTE>2.0.CO;2, 1995. 
Bogenschutz, P. A. and Krueger, S. K.: A simplified PDF parameterization of subgrid-scale clouds and turbulence for cloud-resolving models, J. Adv. Model. Earth Syst., 5, 195–211, https://doi.org/10.1002/jame.20018, 2013. 
Bretherton, C. S.: Insights into low-latitude cloud feedbacks from high-resolution models, Philos. Trans. R. Soc. A Math. Phys. Eng. Sci., 373, 2054, https://doi.org/10.1098/rsta.2014.0415, 2015. 
Bretherton, C. S., Wood, R., George, R. C., Leon, D., Allen, G., and Zheng, X.: Southeast Pacific stratocumulus clouds, precipitation and boundary layer structure sampled along 20 S during VOCALS-REx, Atmos. Chem. Phys., 10, 10639–10654, https://doi.org/10.5194/acp-10-10639-2010, 2010. 
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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.