Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6825-2024
https://doi.org/10.5194/acp-24-6825-2024
Research article
 | 
13 Jun 2024
Research article |  | 13 Jun 2024

Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project

Nadja Omanovic, Sylvaine Ferrachat, Christopher Fuchs, Jan Henneberger, Anna J. Miller, Kevin Ohneiser, Fabiola Ramelli, Patric Seifert, Robert Spirig, Huiying Zhang, and Ulrike Lohmann

Data sets

Data for the publication “Evaluating the Wegener-Bergeron-Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project” Nadja Omanovic et al. https://doi.org/10.5281/zenodo.10991224

Model code and software

ICON Open Source Release DWD et al. https://gitlab.dkrz.de/icon/icon-model

Scripts for figures for publication “Evaluating the Wegener-Bergeron-Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project” Nadja Omanovic et al. https://doi.org/10.5281/zenodo.10990787

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Short summary
We present simulations with a high-resolution numerical weather prediction model to study the growth of ice crystals in low clouds following glaciogenic seeding. We show that the simulated ice crystals grow slower than observed and do not consume as many cloud droplets as measured in the field. This may have implications for forecasting precipitation, as the ice phase is crucial for precipitation at middle and high latitudes.
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