Abstract

Context. Three-dimensional models that account for chemistry are useful tools to predict the chemical composition of (exo)planet and brown dwarf atmospheres and interpret observations of future telescopes, such as James Webb Space Telescope (JWST) and Atmospheric Remote-sensing Infrared Exoplanet Large-survey (ARIEL). Recent Juno observations of the NH3 tropospheric distribution in Jupiter also indicate that 3D chemical modelling may be necessary to constrain the deep composition of the giant planets of the solar system. However, due to the high computational cost of chemistry calculations, 3D chemical modelling has so far been limited. Aims. Our goal is to develop a reduced chemical scheme from the full chemical scheme of Venot et al. 2012 (A&A, 546, A43) able to reproduce accurately the vertical profiles of the observable species (H2O, CH4, CO, CO2, NH3, and HCN). This reduced scheme should have a size compatible with three-dimensional models and be usable across a large parameter space (e.g. temperature, pressure, elemental abundance). The absence of C2H2 from our reduced chemical scheme prevents its use to study hot C-rich atmospheres. Methods. We used a mechanism-processing utility program designed for use with Chemkin-Pro to reduce a full detailed mechanism. The ANSYS© Chemkin-Pro Reaction Workbench allows the reduction of a reaction mechanism for a given list of target species and a specified level of accuracy. We took a warm giant exoplanet with solar abundances, GJ 436b, as a template to perform the scheme reduction. To assess the validity of our reduced scheme, we took the uncertainties on the reaction rates into account in Monte Carlo runs with the full scheme, and compared the resulting vertical profiles with the reduced scheme. We explored the range of validity of the reduced scheme even further by applying our new reduced scheme to GJ 436b’s atmosphere with different elemental abundances, to three other exoplanet atmospheres (GJ 1214b, HD 209458b, HD 189733b), a brown dwarf atmosphere (SD 1110), and to the troposphere of two giant planets of the solar system (Uranus and Neptune). Results. For all cases except one, the abundances predicted by the reduced scheme remain within the error bars of the model with the full scheme. Expectedly, we found important differences that cannot be neglected only for the C-rich hot atmosphere. The reduced chemical scheme allows more rapid runs than the full scheme from which it is derived (~30× faster). Conclusions. We have developed a reduced scheme containing 30 species and 181 reversible reactions. This scheme has a large range of validity and can be used to study all kinds of warm atmospheres, except hot C-rich ones that contain a high amount of C2H2. It can be used in 1D models, for fast computations, but also in 3D models for hot giant (exo)planet and brown dwarf atmospheres.

Highlights

  • The generation of space telescopes, such as the James Webb Space Telescope (JWST) and the Atmospheric Remotesensing Infrared Exoplanet Large-survey (ARIEL) will certainly revolutionise our knowledge and understanding of exoplanetary worlds

  • We have developed a reduced chemical scheme from the full chemical network published by Venot et al (2012), called the C0–C2 scheme

  • GJ 436b model As can be seen in Figs. 3–5, the agreement between the atmospheric compositions obtained with the two chemical schemes is

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Summary

Introduction

The generation of space telescopes, such as the James Webb Space Telescope (JWST) and the Atmospheric Remotesensing Infrared Exoplanet Large-survey (ARIEL) will certainly revolutionise our knowledge and understanding of exoplanetary worlds. To benefit fully from these high-resolution data and accurately interpret those spectra, three-dimensional (3D) models that include a detailed description of both physical and chemical processes are needed. Such models have not been developed yet because of the very high computational time they require. Resolving the corresponding large system of non-linear and highly coupled differential equations, in addition to the physical processes described in general circulation models (GCMs) would result in unreasonable computational times. To tackle this problem, most GCMs currently assume atmosphere at thermochemical equilibrium.

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