The Effect of 3D Transport-Induced Disequilibrium Carbon Chemistry on the Atmospheric Structure and Phase Curves and Emission Spectra of Hot Jupiter HD 189733b
arXiv:1808.02011 · doi:10.3847/1538-4357/ab2598
Abstract
On hot Jupiter exoplanets, strong horizontal and vertical winds should homogenize the abundances of the important absorbers CH and CO much faster than chemical reactions restore chemical equilibrium. This effect, typically neglected in general circulation models (GCMs), has been suggested as explanation for discrepancies between observed infrared lightcurves and those predicted by GCMs: On the nightsides of several hot Jupiters, GCMs predict outgoing fluxes that are too large, especially in the Spitzer 4.5 m band. We modified the SPARC/MITgcm to include disequilibrium abundances of CH, CO and HO by assuming that the CH/CO ratio is constant throughout the simulation domain. We ran simulations of hot Jupiter HD 189733b with 8 CH/CO ratios. In the more likely CO-dominated regime, we find temperature changes 50-100 K compared to the equilibrium chemistry case across large regions. This effect is large enough to affect predicted emission spectra and should thus be included in GCMs of hot Jupiters with equilibrium temperatures between 600K and 1300K. We find that spectra in regions with strong methane absorption, including the Spitzer 3.6 and 8 m bands, are strongly impacted by disequilibrium abundances. We expect chemical quenching to result in much larger nightside fluxes in the 3.6 m band, in stark contrast to observations. Meanwhile, we find almost no effect on predicted observations in the 4.5 m band, as the opacity changes due to CO and HO offset each other. We thus conclude that disequilibrium carbon chemistry cannot explain the observed low nightside fluxes in the 4.5 m band.
arXiv comment28 pages, 12 figures; accepted for publication in ApJ. Key changes since v1: updated introduction and discussion to include recent literature more thoroughly; added paragraph and figure to clarify change in water abundance; ran simulations for additional 600 days simulation time (leading to small quantitative changes in some figures but no qualitative changes)
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