The 3D thermal, dynamical and chemical structure of the atmosphere of HD 189733b: implications of wind-driven chemistry for the emission phase curve (dataset)

Abstract

UM model output in .pp format (UM custom format) and converted netCDF formatu-au007 - high (spectral) resolution output (relaxation)u-as783 - high (spectral) resolution output (equilibrium)u-ay698 - contribution function (relaxation)u-ay390 - contribution function (equilibrium)u-aw848 - chemical relaxation (timescale *0.1)u-aw847 - chemical relaxation (timescale *10)u-ax477 - chemical relaxation (H2O and CO fixed to equilibrium in heating rate calculation)u-as904 - chemical relaxationu-aq803 - chemical equilibriumThe data contained in this submission is associated with the publication Drummond et al, ApJ, 2018.The article associated with this dataset is located in ORE at: http://hdl.handle.net/10871/34680In this paper we present three-dimensional atmospheric simulations of the hot Jupiter HD~189733b under two different scenarios: local chemical equilibrium and including advection of the chemistry by the resolved wind. Our model consistently couples the treatment of dynamics, radiative transfer and chemistry, completing the feedback cycle between these three important processes. The effect of wind--driven advection on the chemical composition is qualitatively similar to our previous results for the warmer atmosphere of HD~209458b, found using the same model. However, we find more significant alterations to both the thermal and dynamical structure for the cooler atmosphere of HD~189733b, with changes in both the temperature and wind velocities reaching $\sim10\%$. We also present the contribution function, diagnosed from our simulations, and show that wind--driven chemistry has a significant impact on its three--dimensional structure, particularly for regions where methane is an important absorber. Finally, we present emission phase curves from our simulations and show the significant effect of wind--driven chemistry on the thermal emission, particularly within the 3.6 \textmu m Spitzer/IRAC channel.This work is partly supported by the European Research Council under the European Communitys Seventh Framework Programme (FP7/2007-2013 Grant Agreement No. 336792-CREATES and No. 320478 TOFU). N.J.M. and J.G. are partially funded by a Leverhulme Trust Research Project Grant. J.M. acknowledges the support of a Met Office Academic Partnership secondment. This work was performed using the DiRAC Data Intensive service at Leicester, operated by the University of Leicester IT Services, which forms part of the TFC DiRAC HPC Facility (www.dirac.ac.uk). The equipment was funded by BEIS capital funding via STFC capital grants ST/K000373/1 and ST/R002363/1 and STFC DiRAC Operations grant ST/R001014/1. DiRAC is part of the National e-Infrastructure. This work also used the University of Exeter Supercomputer ISCA