Articles | Volume 25, issue 17
https://doi.org/10.5194/acp-25-10403-2025
© Author(s) 2025. 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-25-10403-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Sep 2025
Research article |
| 12 Sep 2025
| 12 Sep 2025
Influence of secondary ice production on cloud and rain properties: analysis of the HYMEX IOP7a heavy-precipitation event
Pierre Grzegorczyk
CORRESPONDING AUTHOR
Laboratoire de Météorologie Physique, UMR 6016 CNRS INSU, Université Clermont Auvergne, Clermont-Ferrand, France
Wolfram Wobrock
Laboratoire de Météorologie Physique, UMR 6016 CNRS INSU, Université Clermont Auvergne, Clermont-Ferrand, France
Aymeric Dziduch
Laboratoire de Météorologie Physique, UMR 6016 CNRS INSU, Université Clermont Auvergne, Clermont-Ferrand, France
Laboratoire de Météorologie Physique, UMR 6016 CNRS INSU, Université Clermont Auvergne, Clermont-Ferrand, France
Institut Universitaire de France (IUF), Paris, France
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This study evaluates the implementation of predicted rime mass distribution in the bin microphysics scheme DESCAM. Based on the ‘fill-in’ concept, the model allows a smooth transition between unrimed and graupel ice particle properties. The implementation is tested for a heavy snowfall event observed during the ICE-POP 2018 field campaign. The new version of DESCAM gives a better agreement with the observations with significant changes in the precipitation amount and spatial distribution.
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This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
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This study evaluates the implementation of predicted rime mass distribution in the bin microphysics scheme DESCAM. Based on the ‘fill-in’ concept, the model allows a smooth transition between unrimed and graupel ice particle properties. The implementation is tested for a heavy snowfall event observed during the ICE-POP 2018 field campaign. The new version of DESCAM gives a better agreement with the observations with significant changes in the precipitation amount and spatial distribution.
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Low-level clouds play a central role in the Arctic climate, modulating the surface energy budget with competing warming and cooling effects. In this study, radar-lidar satellite products are used to investigate the geographical and seasonal variations of different cloud types observed over eight years. Oceanic regions are characterized by high occurrences of low-level mixed-phase clouds, which are influenced by atmospheric stability conditions, surface temperatures and cold air outbreaks.
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Short summary
The impact of secondary ice production (SIP) on an intense-precipitation event is investigated using 3D bin microphysics. Including SIP improves agreement with in situ aircraft observations (ice crystal number concentration and supercooled drop number fraction), generates small ice crystals, and redistributes condensed water mass toward smaller particle sizes. As these crystals melt, the liquid precipitation flux decreases, reducing total precipitation by 8 % and heavy rainfall by 20 %.
The impact of secondary ice production (SIP) on an intense-precipitation event is investigated...
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