Rock vapour is opaque: implications for dynamics and observations of lava planets
T. Giang Nguyen, Nicolas B. Cowan, Gunnar Montseny Gens, Charles-Edouard Boukare, William Eaton, Karolina Sienko
TL;DR
Lava planets host rock-vapour atmospheres whose spectra encode mantle and interior processes. The authors present SonicVapour, a multi-species, steady-state hydrodynamics and radiative-transfer framework that integrates LavAtmos magma-outgassing chemistry with ExoMol opacity data to simulate K2-141b and TOI-431b. A key finding is that thick, optically opaque atmospheres yield near-blackbody top-of-atmosphere emission with muted spectral features, while thinner atmospheres with intermediate opacity produce detectable atmospheric signatures, making cooler lava planets potentially easier to characterize. The work highlights observation strategies that favor moderately cool lava planets and provides an open-source tool to enable future interior-atmosphere coupling studies.
Abstract
Extreme instellation on lava planets causes the rocky surface to melt and vaporize. Because the rock vapour composition is intrinsically tied to the mantle, atmospheric characterization of lava planets can hold valuable insight into the interior processes of rocky planets. To help interpret current data and strategize for future observations, we develop the model SonicVapour to simulate the dynamics of chemically complex secondary atmosphere of lava planets. We find that for planets with surface temperatures exceeding 2700 K, the rock vapour outgassed is optically thick, making the atmosphere vertically isothermal thus suppressing convection and severely limiting atmospheric detection via emission spectroscopy. In contrast, cooler planets with surfaces between 2300 K - 2700 K have an atmospheric opacity close to 50% and produce distinct spectral features. Counter-intuitively, therefore, cooler lava planet atmospheres are easier to detect. Our results ultimately emphasize the importance of considering atmospheric "detectability" in tandem with signal-to-noise for future observation programs.
