Explicit Habit‐Prediction in the Lagrangian Super‐Particle Ice Microphysics Model McSnow

Author:

Welss Jan‐Niklas12ORCID,Siewert C.1,Seifert A.1ORCID

Affiliation:

1. Deutscher Wetterdienst Offenbach Germany

2. Institute for Atmospheric Physics Johannes Gutenberg University Mainz Mainz Germany

Abstract

AbstractThe Monte‐Carlo ice microphysics model McSnow is extended by an explicit habit prediction scheme, combined with the hydrodynamic theory of Böhm. Böhm'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 of the ice crystals 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. The influence of primary ice behavior on precipitation formation needs to be considered in future development of microphysical parameterizations, but the consideration of secondary habits and the geometry of aggregates should be further improved in future work.

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Geophysical Union (AGU)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An ML‐Based P3‐Like Multimodal Two‐Moment Ice Microphysics in the ICON Model;Journal of Advances in Modeling Earth Systems;2024-08

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