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Explicit habit-prediction in the Lagrangian super-particle ice microphysics model McSnow
  • Jan-Niklas Welss,
  • Christoph Siewert,
  • Axel Seifert
Jan-Niklas Welss
Johannes Gutenberg Universtität Mainz

Corresponding Author:jwelss@uni-mainz.de

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Christoph Siewert
Deutscher Wetterdienst
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Axel Seifert
Deutscher Wetterdienst
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The Monte-Carlo ice microphysics model McSnow is extended by an explicit habit prediction scheme, combined with the hydrodynamic theory of \citeauthor{Boehm1992a}.
\citeauthor{Boehm1992a}’s original cylindrical shape assumption for prolates is compared against recent lab results, showing that interpolation between cylinder and prolate yields the best agreement.
For constant temperature and supersaturation, the predicted mass, size, and density agree well with the laboratory results, and a comparison with real clouds using the polarizability ratio shows regimes capable of improvement.
An updated form of the inherent growth function to describe the primary habit growth tendencies is proposed and combined with a habit-dependent ventilation coefficient.
The modifications contrast the results from general mass size relations and significantly impact the main ice microphysical processes. Depending on the thermodynamic regime, ice habits significantly alter depositional growth and affect aggregation and riming.
25 May 2023Submitted to ESS Open Archive
07 Jun 2023Published in ESS Open Archive