Articles | Volume 23, issue 1
https://doi.org/10.5194/acp-23-523-2023
https://doi.org/10.5194/acp-23-523-2023
Research article
 | 
13 Jan 2023
Research article |  | 13 Jan 2023

Machine learning of cloud types in satellite observations and climate models

Peter Kuma, Frida A.-M. Bender, Alex Schuddeboom, Adrian J. McDonald, and Øyvind Seland

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Cited articles

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Bender, F. A.-M., Engström, A., Wood, R., and Charlson, R. J.: Evaluation of Hemispheric Asymmetries in Marine Cloud Radiative Properties, J. Climate, 30, 4131–4147, https://doi.org/10.1175/JCLI-D-16-0263.1, 2017. a
Bjordal, J., Storelvmo, T., Alterskjær, K., and Carlsen, T.: Equilibrium climate sensitivity above 5 C plausible due to state-dependent cloud feedback, Nat. Geosci., 13, 718–721, https://doi.org/10.1038/s41561-020-00649-1, 2020. a
Bretherton, C. S. and Caldwell, P. M.: Combining Emergent Constraints for Climate Sensitivity, J. Climate, 33, 7413–7430, https://doi.org/10.1175/JCLI-D-19-0911.1, 2020. a
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We present a machine learning method for determining cloud types in climate model output and...
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