Atmospheres & Climate

The MSG Model For Cloudy Substellar Atmospheres: A Grid Of Self-consistent Substellar Atmosphere Models With Microphysical Cloud Formation

By Keith Cowing
Status Report
astro-ph.EP
January 22, 2025
Filed under , , , , , , , , ,
The MSG Model For Cloudy Substellar Atmospheres: A Grid Of Self-consistent Substellar Atmosphere Models With Microphysical Cloud Formation
Diagram of the MSG model algorithm for cloudy substellar atmospheres. The boxes with a dashed outline indicate parameters that are inputs to the model. The boxes with a dotted outline indicate control processes within the workflow. For a detailed explanation of the cloud formation process, see section 2. For a detailed explanation of the control process, see section 4.3. For the convergence criteria considered under the control process see section 4.1 — astro-ph.EP

State-of-the-art JWST observations are unveiling unprecedented views into the atmospheres of substellar objects in the infrared, further highlighting the importance of clouds. Current forward models struggle to fit the silicate clouds absorption feature at ~10μm observed in substellar atmospheres.

In the MSG model, we aim to couple the MARCS 1D radiative-convective equilibrium atmosphere model with the 1D kinetic, stationary, non-equilibrium, cloud formation model DRIFT, to create a new grid of self-consistent cloudy substellar atmosphere models with microphysical cloud formation.

We aim to test if this new grid is able to reproduce the silicate cloud absorption feature at ~10μm. We model substellar atmospheres with effective temperatures in the range 1200-2500 K and with log(g)=4.0. We compute atmospheric structures that self-consistently account for condensate cloud opacities based on microphysical properties. We present an algorithm based on control theory to help converge such self-consistent models. Synthetic atmosphere spectra are computed for each model to explore the observable impact of the cloud microphysics.

We additionally explore the impact of choosing different nucleation species (TiO2 or SiO) and the effect of less efficient atmospheric mixing on these spectra. The new MSG cloudy grid using TiO2 nucleation shows spectra which are redder in the near-infrared compared to the currently known population of substellar atmospheres.

We find the models with SiO nucleation, and models with reduced mixing efficiency are less red in the near-infrared. The grid is unable to reproduce the silicate features similar to those found in recent JWST observations and Spitzer archival data.

We thoroughly discuss further work that may better approximate the impact of convection in cloud-forming regions and steps that may help resolve the silicate cloud feature.

Beatriz Campos Estrada, David A. Lewis, Christiane Helling, Richard A. Booth, Francisco Ardévol Martínez, Uffe G. Jørgensen

Comments: Accepted for publication in A&A
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Solar and Stellar Astrophysics (astro-ph.SR)
Cite as: arXiv:2501.05521 [astro-ph.EP] (or arXiv:2501.05521v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2501.05521
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Submission history
From: Beatriz Campos Estrada
[v1] Thu, 9 Jan 2025 19:00:41 UTC (13,705 KB)
https://arxiv.org/abs/2501.05521
Astrobiology,

Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻