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

  • 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
  • , Fan Yang
  • , Mikhail Ovchinnikov
  • , Raymond A. Shaw
  • United States Department of Energy
  • Utah System of Higher Education
  • University of Warsaw
  • University of Hyogo
  • Free University of Berlin
  • University of Gothenburg
  • Chalmers University of Technology
  • Leibniz Association
  • Michigan Technological University

Research output: Contribution to journal › Article › peer-review

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-B & eacute;nard 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.
Original languageEnglish
Article numbere2025MS005648
Number of pages19
JournalJournal of Advances in Modeling Earth Systems
Volume18
Issue number9
DOIs
StatePublished - Sep 11 2026

Funding

FundersFunder number
German Research FoundationHO 6588/1-1
JSPS KAKENHI20H00225, 23H00149
Vetenskapsrdet2021-4452, 2023-2026
European Research Council101126050
High-Performance Computing Infrastructure Systemhp200078, hp210059, hp220062, hp230166, hp240151
National Energy Research Scientific Computing CenterBER-ERCAP0033002
Polish high-performance computing infrastructure PLGridPLG/2023/016820
Office of ScienceDE-AC05-76 RL01830, DE-SC0012704, DE-AC02-05CH11231
National Science Foundation1852977, AGS-2133229, AGS-2113060
National Academic Infrastructure for Supercomputing in Sweden2022-06725
European Research Council (ERC)101126050

    Keywords

    • Cloud chamber
    • Cloud microphysics
    • Direct numerical simulation
    • Large-eddy simulation
    • Mixed-phase cloud
    • Turbulence

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