Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6825-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-6825-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project
Nadja Omanovic
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Sylvaine Ferrachat
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Christopher Fuchs
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Jan Henneberger
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Anna J. Miller
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Kevin Ohneiser
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Fabiola Ramelli
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Patric Seifert
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Robert Spirig
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Huiying Zhang
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
Ulrike Lohmann
CORRESPONDING AUTHOR
Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
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Cited
7 citations as recorded by crossref.
- Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds A. Miller et al. 10.5194/acp-25-5387-2025
- Repurposing weather modification for cloud research showcased by ice crystal growth F. Ramelli et al. 10.1093/pnasnexus/pgae402
- Does small-scale turbulence matter for ice growth in mixed-phase clouds? G. Sarnitsky et al. 10.1103/PhysRevFluids.10.053803
- Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds T. Kiszler et al. 10.5194/acp-24-10039-2024
- Estimating the concentration of silver iodide needed to detect unambiguous signatures of glaciogenic cloud seeding J. Yang et al. 10.5194/acp-24-13833-2024
- The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain N. Omanovic et al. 10.5194/acp-24-14145-2024
- Evaluating the Wegener–Bergeron–Findeisen process in ICON in large-eddy mode with in situ observations from the CLOUDLAB project N. Omanovic et al. 10.5194/acp-24-6825-2024
6 citations as recorded by crossref.
- Quantified ice-nucleating ability of AgI-containing seeding particles in natural clouds A. Miller et al. 10.5194/acp-25-5387-2025
- Repurposing weather modification for cloud research showcased by ice crystal growth F. Ramelli et al. 10.1093/pnasnexus/pgae402
- Does small-scale turbulence matter for ice growth in mixed-phase clouds? G. Sarnitsky et al. 10.1103/PhysRevFluids.10.053803
- Microphysical processes involving the vapour phase dominate in simulated low-level Arctic clouds T. Kiszler et al. 10.5194/acp-24-10039-2024
- Estimating the concentration of silver iodide needed to detect unambiguous signatures of glaciogenic cloud seeding J. Yang et al. 10.5194/acp-24-13833-2024
- The impact of the mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain N. Omanovic et al. 10.5194/acp-24-14145-2024
Latest update: 02 Jul 2025
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.
We present simulations with a high-resolution numerical weather prediction model to study the...
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