Articles | Volume 21, issue 2
https://doi.org/10.5194/acp-21-1015-2021
https://doi.org/10.5194/acp-21-1015-2021
Research article
 | 
26 Jan 2021
Research article |  | 26 Jan 2021

3D radiative heating of tropical upper tropospheric cloud systems derived from synergistic A-Train observations and machine learning

Claudia J. Stubenrauch, Giacomo Caria, Sofia E. Protopapadaki, and Friederike Hemmer

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Short summary
Tropical anvils formed by convective outflow play a crucial role in modulating the Earth’s energy budget and heat transport. To explore the relation between these anvils and convection, we built 3D radiative heating fields, based on machine learning employed on cloud and atmospheric properties from IR sounder and meteorological reanalyses, trained on lidar–radar retrievals. The 15-year time series reveals colder convective systems during warm periods, affecting the atmospheric heating structure.
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