A Model Intercomparison Study of Mixed-Phase Clouds in a Laboratory Chamber
Journal article, 2026

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.

large-eddy simulation

cloud chamber

direct numerical simulation

cloud microphysics

mixed-phase cloud

turbulence

Author

Aaron Wang

Pacific Northwest National Laboratory

Sisi Chen

National Center for Atmospheric Research

Steven K. Krueger

University of Utah

Piotr Dziekan

University of Warsaw

Kotaro Enokido

University of Hyogo

F. Hoffmann

Freie Universität Berlin

Agnieszka Makulska

University of Warsaw

Bernhard Mehlig

University of Gothenburg

Gaetano Sardina

Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics

G. Sarnitsky

University of Gothenburg

Silvio Schmalfuß

Leibniz Association

Shin ichiro Shima

University of Hyogo

Fan Yang

Brookhaven National Laboratory

Mikhail Ovchinnikov

Pacific Northwest National Laboratory

Raymond A. Shaw

Michigan Technological University

Journal of Advances in Modeling Earth Systems

19422466 (eISSN)

Vol. 18 9 e2025MS005648

Unraveling the impact of turbulence in Mixed-phase Clouds (MixClouds)

European Commission (EC) (EC/HE/101126050), 2024-06-01 -- 2029-05-31.

Subject Categories (SSIF 2025)

Meteorology and Atmospheric Sciences

DOI

10.1029/2025MS005648

More information

Latest update

9/22/2026