A Python port of a classic volcanic plume model is applied to exoplanet conditions, identifying parameter regions where plumes reach low-pressure altitudes and become potentially detectable.
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Simulations indicate that order-of-magnitude changes in TiO2 and SiO2 abundances in lava melts produce distinguishable TiO, SiO, and SiO2 features in dry lava planet emission spectra, potentially observable with 12 JWST eclipses for the brightest targets.
citing papers explorer
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Modeling Volcanic Plume Heights Across Exoplanet Atmospheres: Insights from TRAPPIST-1
A Python port of a classic volcanic plume model is applied to exoplanet conditions, identifying parameter regions where plumes reach low-pressure altitudes and become potentially detectable.
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Sensitivity of Dry Lava Planet Atmospheric Emission Spectra to Changes in Lava Compositions
Simulations indicate that order-of-magnitude changes in TiO2 and SiO2 abundances in lava melts produce distinguishable TiO, SiO, and SiO2 features in dry lava planet emission spectra, potentially observable with 12 JWST eclipses for the brightest targets.