Researchers use MITgcm to simulate 3D cloud dynamics on WASP-80b, revealing how atmospheric feedback shapes the planet’s spectra.
Reporting by Helen Hill for MITgcm
A new study led by Nishil Mehta and colleagues offers a detailed look into the atmospheric dynamics of WASP-80b, a warm Jupiter exoplanet orbiting a nearby K-type star. Using advanced 3D simulations, the team explored how clouds form, evolve, and influence the planet’s observable spectra—providing key insights into the challenges of interpreting exoplanet atmospheres.
Under review for Astronomy & Astrophysics, the study tackles a central question in exoplanet science: how do clouds affect what we see when we observe distant worlds? For WASP-80b, a planet with temperatures around 800 K and a relatively slow orbit, the answer is complex—and highly dependent on atmospheric circulation and cloud feedback mechanisms.
To simulate these processes, the researchers employed the MIT General Circulation Model (MITgcm), a flexible and powerful tool originally developed for Earth’s climate but now widely adapted for planetary science. The team coupled MITgcm with a cloud microphysics module and radiative transfer calculations to create a self-consistent 3D model of WASP-80b’s atmosphere.
The MITgcm was central to the study’s success, enabling the team to resolve the full three-dimensional structure of WASP-80b’s atmosphere. It captured the interplay between thermal gradients, wind patterns, and cloud formation across the planet’s day and night sides. By simulating how condensates like silicates and sulfides are lofted and transported by atmospheric circulation, the model provided a dynamic view of cloud feedback processes—critical for interpreting the planet’s spectral features as seen by telescopes.
The simulations revealed that WASP-80b’s skies are far from uniformly clear. Instead, cloud formation is highly localized, with thick clouds developing on the nightside and near the terminator—the boundary between day and night. These clouds are composed primarily of silicate and sulfide condensates, which form at cooler temperatures and are lofted by vertical winds.
Importantly, the study found that cloud feedback significantly alters the planet’s thermal structure. Clouds trap heat in the lower atmosphere and reflect incoming stellar radiation, leading to temperature inversions and altered wind patterns. These changes, in turn, affect the distribution and evolution of clouds themselves—a feedback loop that must be accounted for in spectral models.
When the team generated synthetic spectra from their 3D model, they found that cloud feedback could mute or shift key absorption features, such as those from water vapor and alkali metals. This has major implications for interpreting data from space telescopes like JWST and ARIEL, which rely on spectral signatures to infer atmospheric composition.
The study also highlights the importance of planetary rotation and orbital geometry. WASP-80b’s relatively slow rotation allows for stronger day-night temperature contrasts, which drive vigorous atmospheric circulation and cloud transport. These dynamics are crucial for understanding the planet’s climate and for planning future observations.
As new space-based observatories (such as JWST and the upcoming ARIEL mission) and next-generation ground-based facilities with high-resolution capabilities (including the Extremely Large Telescope) deliver increasingly detailed views of exoplanet atmospheres, comprehensive circulation models have become essential for interpreting those observations. “High-quality data and advanced modeling now work hand in hand, and this synergy allows us to build a more complete and physically grounded picture of climates on worlds far beyond our Solar System,” said Mehta.
“This is a great example of how Earth science tools can be repurposed for planetary exploration,” said Mehta. “The skies of WASP-80b may be cloudy, but with the right models, we can begin to see through them.”
Questions/ comments email Nishil
About the Researcher
Nishil Mehta has been working with MITgcm for two years as part of his doctoral research as a PhD student at Université Côte d’Azur, Observatoire de la Côte d’Azur, CNRS, Laboratoire Lagrange in France. He studies exoplanet atmospheres under the guidance of Vivien Parmentier (Cloudy with a Chance of Aliens, Wild and Windy Exoplanets) and Tristan Guillot. His research involves using the ADAM general circulation model to simulate exoplanet atmospheres in 3D and compare the resulting spectra with observational data. More details about his research, publications, and contact information can be found on his website: https://nish-03.github.io/nish/
The ADAM (ADvanced Atmospheric MITgcm) model was formerly known as SPARC (the Substellar and Planetary Atmospheric Radiation and Circulation model), a sophisticated tool used to investigate the atmospheric circulation of exoplanets and other planetary bodies based on MITgcm. Early work on SPARC goes back to at least 2008, when it was used to simulate the atmospheric circulation of hot Jupiters. The naming of ADAM honors the late Adam Showman, whose pioneering work laid the foundation for the field of exoplanet atmospheric dynamics.
This Month’s Featured Publication
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- Nishil Mehta, Vivien Parmentier, Xianyu Tan, Elspeth K. H. Lee, Tristan Guillot, Lindsey S. Wiser, Taylor J. Bell, Everett Schlawin, Kenneth Arnold, Sagnick Mukherjee, Thomas P. Greene, Thomas G. Beatty, Luis Welbanks, Michael R. Line, Matthew M. Murphy, Jonathan J. Fortney, Kazumasa Ohno (2025), How clear are the skies of WASP-80b?: 3D Cloud feedback on the atmosphere and spectra of the warm Jupiter, arXiv: 2509.23406
Other New Publications last month
Allen, J. and Komacek, T. (2025), Circulation models and JWST observations of inflated ultra-hot Jupiters, EPSC-DPS Joint Meeting 2025, Helsinki, Finland, 7–12 Sep 2025, EPSC-DPS2025-1623, doi: 10.5194/epsc-dps2025-1623
Ames, F. et al (2025), Simulating the motional induction of 3D time-mean ocean flows within Enceladus, EPSC-DPS Joint Meeting 2025, Helsinki, Finland, 7–12 Sep 2025, EPSC-DPS2025-1885, doi: 10.5194/epsc-dps2025-1885
Basinski-Ferris, Rory et al (2025), Controls on the ocean response to idealized Antarctic meltwater input, arXiv: 2509.19730
Bhatnagar, S., Codron, F., Millour, E., Bolmont, E., Brunetti, M., Kasparian, J., Turbet, M., and Chaverot, G. (2025), A Fast and Physically Grounded Ocean Model for GCMs: The Dynamical Slab Ocean Model of the Generic-PCM (rev. 3423), EGUsphere, doi: 10.5194/egusphere-2025-3786
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Ma, Jianhua et al (2025), A Systematic Review of Carbon Sink Pathways and Deployment Strategies, via preprints.org, doi: 10.20944/preprints202509.0346.v1
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Huang, Xuan (2025), Scalable Visualization Techniques for Large Scientific Data, The University of Utah ProQuest Dissertations & Theses, 2025. 31934768.
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Liu, C., Liang, X., and Yu, L. (2025), Salinity trends and mass balances in the Mediterranean Sea: revisit the role of air-sea freshwater fluxes and oceanic exchange, Ocean Sci., 21, 2069–2083, https://doi.org/10.5194/os-21-2069-2025
Mason, Hassan and K. Shafer Smith (2025), Beaufort Gyre Isopycnal Structure Produces a Steady Mesoscale Eddy Field Modulated by Sea Ice Drag, Journal of Geophysical Research: Oceans, doi: 10.1029/2024JC022273
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