Three Dimensional Modeling of Hot Jupiter Atmospheric Flows

TL;DR

This paper develops a 3D atmospheric model for hot Jupiters, comparing different numerical methods and analyzing atmospheric dynamics, heat transport, and temperature structures, highlighting discrepancies and the need for improved energy conservation in models.

Contribution

It introduces a 3D hot Jupiter atmospheric model using spectral-implicit methods and compares results with previous grid-explicit models, revealing differences and modeling challenges.

Findings

Identification of a super-rotating equatorial jet.

Detection of a dynamically-induced temperature inversion.

Emergence of shock-like features in the atmospheric flow.

Abstract

We present a three dimensional hot Jupiter model, extending from 200 bar to 1 mbar, using the Intermediate General Circulation Model from the University of Reading. Our horizontal spectral resolution is T31 (equivalent to a grid of 48x96), with 33 logarithmically spaced vertical levels. A simplified (Newtonian) scheme is employed for the radiative forcing. We adopt a physical set up nearly identical to the model of HD 209458b by Cooper & Showman (2005,2006) to facilitate a direct model inter-comparison. Our results are broadly consistent with theirs but significant differences also emerge. The atmospheric flow is characterized by a super-rotating equatorial jet, transonic wind speeds, and eastward advection of heat away from the dayside. We identify a dynamically-induced temperature inversion ("stratosphere") on the planetary dayside and find that temperatures at the planetary limb differ systematically from local radiative equilibrium values, a potential source of bias for transit spectroscopic interpretations. While our model atmosphere is quasi-identical to that of Cooper & Showman (2005,2006) and we solve the same meteorological equations, we use different algorithmic methods, spectral-implicit vs. grid-explicit, which are known to yield fully consistent results in the Earth modeling context. The model discrepancies identified here indicate that one or both numerical methods do not faithfully capture all of the atmospheric dynamics at work in the hot Jupiter context. We highlight the emergence of a shock-like feature in our model, much like that reported recently by Showman et al. (2009), and suggest that improved representations of energy conservation may be needed in hot Jupiter atmospheric models, as emphasized by Goodman (2009).