Articles | Volume 26, issue 6
https://doi.org/10.5194/acp-26-3901-2026
https://doi.org/10.5194/acp-26-3901-2026
Research article
 | 
19 Mar 2026
Research article |  | 19 Mar 2026

An update of shallow cloud parameterization in the AROME NWP model

Adrien Marcel, Sébastien Riette, Didier Ricard, and Christine Lac

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Short summary
This paper provides substantial consistent updates to the atmospheric boundary layer schemes of the AROME model, yet they can be used for both forecasting and climate modelling. The study employs a single-column model versus large eddy simulations comparison and uses a machine learning tool to calibrate parameterizations. The model's ability to simulate shallow clouds has been enhanced, especially for shallow precipitating cumulus and stratocumulus clouds.
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