Articles | Volume 14, issue 8
https://doi.org/10.5194/amt-14-5473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-5473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2021
Research article |
| 12 Aug 2021
| 12 Aug 2021
Effects of the large-scale circulation on temperature and water vapor distributions in the Π Chamber
Jesse C. Anderson
Department of Physics and Atmospheric Sciences Program, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, USA
Subin Thomas
Department of Physics and Atmospheric Sciences Program, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, USA
Prasanth Prabhakaran
Department of Physics and Atmospheric Sciences Program, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, USA
Raymond A. Shaw
Department of Physics and Atmospheric Sciences Program, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, USA
Department of Physics and Atmospheric Sciences Program, Michigan Technological University, 1400 Townsend Drive, Houghton, MI, USA
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Cited
17 citations as recorded by crossref.
- Supersaturation Variability from Scalar Mixing: Evaluation of a New Subgrid-Scale Model Using Direct Numerical Simulations of Turbulent Rayleigh–Bénard Convection K. Chandrakar et al. https://doi.org/10.1175/JAS-D-21-0250.1
- Haze–cloud correlations mediated by supersaturation fluctuations H. Fahandezh Sadi et al. https://doi.org/10.1002/qj.70203
- Cloud microphysical response to entrainment and mixing is locally inhomogeneous and globally homogeneous: Evidence from the lab J. Yeom et al. https://doi.org/10.1073/pnas.2307354120
- Contactless optical hygrometry in LACIS-T J. Nowak et al. https://doi.org/10.5194/amt-15-4075-2022
- High-resolution lidar observations of sedimentation-induced size sorting of droplets near a laboratory cloud top F. Yang et al. https://doi.org/10.1073/pnas.2505421122
- Exploring the impact of surface topography on Rayleigh-Bénard dry convection in the Pi cloud chamber using OpenFOAM: In cylindrical and rectangular geometries H. Kia et al. https://doi.org/10.1016/j.atmosres.2025.108144
- High-resolution temperature profiling in the Π Chamber: variability of statistical properties of temperature fluctuations R. Grosz et al. https://doi.org/10.5194/amt-18-2619-2025
- An Intercomparison of Large‐Eddy Simulations of a Convection Cloud Chamber Using Haze‐Capable Bin and Lagrangian Cloud Microphysics Schemes F. Yang et al. https://doi.org/10.1029/2022MS003270
- Colloquium : Convection-cloud chambers: Experiment and theory S. Krueger & R. Shaw https://doi.org/10.1103/wnnk-qqvj
- Non-Stokes deposition velocities observed under Rayleigh–Bénard turbulence K. Swartz-Schult et al. https://doi.org/10.1080/02786826.2026.2631799
- Enhancements in Cloud Condensation Nuclei Activity From Turbulent Fluctuations in Supersaturation J. Anderson et al. https://doi.org/10.1029/2022GL102635
- Generating a stratocumulus-like cloud top in a convection-cloud chamber A. Wang et al. https://doi.org/10.1073/pnas.2519791123
- Lagrangian particle–based simulation of aerosol-dependent vertical variation of cloud microphysics in a laboratory convection cloud chamber I. La et al. https://doi.org/10.5194/acp-26-5213-2026
- Direct numerical simulation of turbulence and microphysics in the Pi Chamber T. MacMillan et al. https://doi.org/10.1103/PhysRevFluids.7.020501
- Scaling of Turbulence and Microphysics in a Convection–Cloud Chamber of Varying Height S. Thomas et al. https://doi.org/10.1029/2022MS003304
- Lagrangian Supersaturation Fluctuations at the Cloud Edge J. Fries et al. https://doi.org/10.1103/PhysRevLett.131.254201
- Glaciation of mixed-phase clouds: insights from bulk model and bin-microphysics large-eddy simulation informed by laboratory experiment A. Wang et al. https://doi.org/10.5194/acp-24-10245-2024
17 citations as recorded by crossref.
- Supersaturation Variability from Scalar Mixing: Evaluation of a New Subgrid-Scale Model Using Direct Numerical Simulations of Turbulent Rayleigh–Bénard Convection K. Chandrakar et al. https://doi.org/10.1175/JAS-D-21-0250.1
- Haze–cloud correlations mediated by supersaturation fluctuations H. Fahandezh Sadi et al. https://doi.org/10.1002/qj.70203
- Cloud microphysical response to entrainment and mixing is locally inhomogeneous and globally homogeneous: Evidence from the lab J. Yeom et al. https://doi.org/10.1073/pnas.2307354120
- Contactless optical hygrometry in LACIS-T J. Nowak et al. https://doi.org/10.5194/amt-15-4075-2022
- High-resolution lidar observations of sedimentation-induced size sorting of droplets near a laboratory cloud top F. Yang et al. https://doi.org/10.1073/pnas.2505421122
- Exploring the impact of surface topography on Rayleigh-Bénard dry convection in the Pi cloud chamber using OpenFOAM: In cylindrical and rectangular geometries H. Kia et al. https://doi.org/10.1016/j.atmosres.2025.108144
- High-resolution temperature profiling in the Π Chamber: variability of statistical properties of temperature fluctuations R. Grosz et al. https://doi.org/10.5194/amt-18-2619-2025
- An Intercomparison of Large‐Eddy Simulations of a Convection Cloud Chamber Using Haze‐Capable Bin and Lagrangian Cloud Microphysics Schemes F. Yang et al. https://doi.org/10.1029/2022MS003270
- Colloquium : Convection-cloud chambers: Experiment and theory S. Krueger & R. Shaw https://doi.org/10.1103/wnnk-qqvj
- Non-Stokes deposition velocities observed under Rayleigh–Bénard turbulence K. Swartz-Schult et al. https://doi.org/10.1080/02786826.2026.2631799
- Enhancements in Cloud Condensation Nuclei Activity From Turbulent Fluctuations in Supersaturation J. Anderson et al. https://doi.org/10.1029/2022GL102635
- Generating a stratocumulus-like cloud top in a convection-cloud chamber A. Wang et al. https://doi.org/10.1073/pnas.2519791123
- Lagrangian particle–based simulation of aerosol-dependent vertical variation of cloud microphysics in a laboratory convection cloud chamber I. La et al. https://doi.org/10.5194/acp-26-5213-2026
- Direct numerical simulation of turbulence and microphysics in the Pi Chamber T. MacMillan et al. https://doi.org/10.1103/PhysRevFluids.7.020501
- Scaling of Turbulence and Microphysics in a Convection–Cloud Chamber of Varying Height S. Thomas et al. https://doi.org/10.1029/2022MS003304
- Lagrangian Supersaturation Fluctuations at the Cloud Edge J. Fries et al. https://doi.org/10.1103/PhysRevLett.131.254201
- Glaciation of mixed-phase clouds: insights from bulk model and bin-microphysics large-eddy simulation informed by laboratory experiment A. Wang et al. https://doi.org/10.5194/acp-24-10245-2024
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
Fluctuations due to turbulence in Earth's atmosphere can play a role in how many droplets a cloud has and, eventually, whether that cloud rains or evaporates. We study such processes in Michigan Tech's cloud chamber. Here, we characterize the turbulent and large-scale motions of air in the chamber, measuring the spatial and temporal distributions of temperature and water vapor, which we can combine to get the distribution of relative humidity, which governs cloud formation and dissipation.
Fluctuations due to turbulence in Earth's atmosphere can play a role in how many droplets a...
