A Model Intercomparison Study of Mixed‐Phase Clouds in a Laboratory Chamber

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Authors: Aaron Wang, Sisi Chen, Steven K. Krueger, Piotr Dziekan, Kotaro Enokido, Fabian Hoffmann, Agnieszka Makulska, Bernhard Mehlig, Gaetano Sardina, Grigory Sarnitsky, Silvio Schmalfuß, Shin‐ichiro Shima
+3 more Fan Yang, Mikhail Ovchinnikov, Raymond A. Shaw
Cited by: 0
References: 40

Abstract

Abstract Supercooled liquid water often persists in mixed‐phase clouds for hours to days, even though a simple, well‐mixed Wegener‐Bergeron‐Findeisen model predicts rapid depletion of liquid water in the presence of ice. The persistence is well documented, but the relative importance of the maintaining mechanisms remains uncertain. This model intercomparison study addresses this issue by comparing results from 10 model configurations against observations from the Pi Cloud Chamber at Michigan Technological University, which produces cloudy Rayleigh‐Bénard convection. To simplify the problem, we exclude ice‐nucleating particle processes and assume that the ice crystals are spherical. Each model was first tuned to reproduce the observed steady liquid‐cloud state and then run with ice injected at a range of rates. The evolution of spherical ice crystals is consistent across models, but differences emerge in the liquid phase. Most models that simulate the full chamber tend to retain liquid droplets for the entire simulation, because persistent supersaturation near the bottom activates new droplets that replace those that mix into the core and evaporate. In contrast, models that assume a well‐mixed domain, exclude the near‐wall region, or use coarse resolution do not sustain droplets and undergo complete glaciation. Models that use Lagrangian microphysics expose particles to greater supersaturation variability than bin schemes. Overall, these results demonstrate that liquid persistence in mixed‐phase clouds is highly sensitive to the representation of spatial heterogeneity and mixing, and provide guidance for improving microphysical parameterizations in atmospheric models.

Fields of Study & Subjects

Atmospheric aerosols and clouds Particle Dynamics in Fluid Flows Meteorological Phenomena and Simulations

Publication details

Journal / source
Journal of Advances in Modeling Earth Systems
Volume
18
Issue
9
Publication date
1 September 2026
Language
EN