Relationship between latent and radiative heating fields of tropical cloud systems using synergistic satellite observations

Chen, Xiaoting; Stubenrauch, Claudia J.; Mandorli, Giulio

doi:https://doi.org/10.5194/acp-25-6857-2025

Articles | Volume 25, issue 13

https://doi.org/10.5194/acp-25-6857-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-6857-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 13

Research article

|

04 Jul 2025

Research article |

| 04 Jul 2025

Relationship between latent and radiative heating fields of tropical cloud systems using synergistic satellite observations

Xiaoting Chen, Claudia J. Stubenrauch, and Giulio Mandorli

Supplement

https://doi.org/10.5194/acp-25-6857-2025-supplement

Data sets

Global Precipitation Climatology Project (GPCP) Climate Data Record (CDR) Robert Adler et al. https://doi.org/10.7289/V56971M6

Tropical Rainfall Measuring Mission (TRMM): TMPA Precipitation L3 1 Day 0.25 degree x 0.25 degree V7 George J. Huffman et al. https://doi.org/10.5067/TRMM/TMPA/DAY/7

GPM PR on TRMM Spectral Latent Heating Profiles L3 1 Day 0.5 x 0.5 degree V07 Tropical Rainfall Measuring Mission (TRMM) https://doi.org/10.5067/GPM/PR/TRMM/SLH/3A-DAY/07

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Short summary

Strongly precipitating mesoscale convective systems produce a large amount of diabatic heating of the atmosphere, influencing atmospheric circulation. Their complete 3D description, attained by machine learning techniques in combination with satellite observations, has enabled a detailed study of the relationship between latent and radiative heating in these cloud systems. Convective organization increases both the average and the vertical gradient of radiative effects of the mesoscale convective systems.