The Effect of Planetary Rotation Period on Clouds in a Global Climate Model with a Bin Microphysics Scheme

Abstract Clouds are the largest source of uncertainty in climate simulations. For exoplanets, cloud simulation is particularly challenging because of the lack of observational data to tune parameterized cloud models. Here we apply Community Aerosol and Radiation Model for Atmospheres ( CARMA ), a size-resolved bin cloud microphysics model, to the atmospheric global climate model Community Atmosphere Model (CAM6) and simulate exoplanets with a range of planetary rotation rates. CARMA produces fewer liquid clouds than the native CAM6 parameterized cloud microphysics scheme (Morrison–Gettelman two-moment microphysics, MG), more ice clouds, and a significantly different ice cloud size distribution. Overall, this leads to a decrease in the magnitude of the net CRE by 4–10 W m −2 , which is unlikely to change the determination of habitability from a climate perspective in most cases. The difference in ice cloud size distribution is likely to strongly affect transmission spectral retrievals. Our work confirms that the MG parameterized cloud microphysics scheme can produce reasonable climate simulation when extrapolated to some exoplanet contexts and highlights the value of resolved cloud microphysics for evaluating parameterized schemes and for interpreting observations.

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Publication Details

Journal
The Astrophysical Journal
Published
2026-03-03
DOI
https://doi.org/10.3847/1538-4357/ae40b5
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.00

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article

The Effect of Planetary Rotation Period on Clouds in a Global Climate Model with a Bin Microphysics Scheme

Yunqian Zhu, Eric Wolf, Owen Toon, Huanzhou Yang et al.
The Astrophysical Journal
Stellar, planetary, and galactic studies
article

The Effect of Planetary Rotation Period on Clouds in a Global Climate Model with a Bin Microphysics Scheme

Yunqian Zhu, Eric Wolf, Owen Toon, Huanzhou Yang, Dorian S. Abbot, Cheng-Cheng 成诚 Liu 刘
article en

Abstract

Abstract Clouds are the largest source of uncertainty in climate simulations. For exoplanets, cloud simulation is particularly challenging because of the lack of observational data to tune parameterized cloud models. Here we apply Community Aerosol and Radiation Model for Atmospheres ( CARMA ), a size-resolved bin cloud microphysics model, to the atmospheric global climate model Community Atmosphere Model (CAM6) and simulate exoplanets with a range of planetary rotation rates. CARMA produces fewer liquid clouds than the native CAM6 parameterized cloud microphysics scheme (Morrison–Gettelman two-moment microphysics, MG), more ice clouds, and a significantly different ice cloud size distribution. Overall, this leads to a decrease in the magnitude of the net CRE by 4–10 W m −2 , which is unlikely to change the determination of habitability from a climate perspective in most cases. The difference in ice cloud size distribution is likely to strongly affect transmission spectral retrievals. Our work confirms that the MG parameterized cloud microphysics scheme can produce reasonable climate simulation when extrapolated to some exoplanet contexts and highlights the value of resolved cloud microphysics for evaluating parameterized schemes and for interpreting observations.

The Astrophysical JournalVol. 999(2)
Planetary Science Institute (US), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), NASA Exoplanet Science Institute (US), NOAA Oceanic and Atmospheric Research (US), Laboratory for Atmospheric and Space Physics (US), Blue Marble Space (US), Geophysical Laboratory (US), Blue Marble Space Institute of Science (US)
National Aeronautics and Space Administration, Nuclear Safety and Security Commission, National Oceanic and Atmospheric Administration
Climate action
Openalex Percentile: Top 37%
Stellar, planetary, and galactic studies
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