Articles | Volume 26, issue 12
https://doi.org/10.5194/acp-26-8617-2026
https://doi.org/10.5194/acp-26-8617-2026
Research article
 | 
22 Jun 2026
Research article |  | 22 Jun 2026

Evaluating turbulent and microphysical schemes in ICON for deep convection over the Alps: a case study of vertical transport and model–observation comparison

Hemanth Kumar Alladi, Julian Quimbayo-Duarte, Luca Bugliaro, Johanna Mayer, Shweta Singh, and Juerg Schmidli

Data sets

ICON Deep Convection over the Alps: Dataset for Vertical Transport and Model–Observation Analy- sis of Turbulence and Microphysics Parameterizations H. K. Alladi et al. https://doi.org/10.5281/zenodo.20386087

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Short summary
Thunderstorms can transport moisture into the lower stratosphere, affecting climate. Over mountains, models fail to represent them due to underrepresentation of turbulent mixing and cloud microphysics. This study evaluates the operational and new turbulence schemes, with single and double moment microphysics, in the ICOsahedral Nonhydrostatic (ICON) model against observations. The operational turbulence scheme enhances mixing, while double moment produces taller storms with more ice transport.
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