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3D mixing in hot Jupiters atmospheres. I. Application to the day/night cold trap in HD 209458b

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TLDR
In this article, the authors investigate the strength of the night-side cold trap in hot Jupiters atmospheres by investigating the mechanisms and strength of vertical mixing in these stably stratified atmospheres.
Abstract
Context. Hot Jupiters exhibit atmospheric temperatures ranging from hundreds to thousands of Kelvin. Because of their large day-night temperature differences, condensable species that are stable in the gas phase on the dayside – such as TiO and silicates – may condense and gravitationally settle on the nightside. Atmospheric circulation may counterbalance this tendency to gravitationally settle. This three-dimensional (3D) mixing of condensable species has not previously been studied for hot Jupiters, yet it is crucial to assess the existence and distribution of TiO and silicates in the atmospheres of these planets.Aims. We investigate the strength of the nightside cold trap in hot Jupiters atmospheres by investigating the mechanisms and strength of the vertical mixing in these stably stratified atmospheres. We apply our model to the particular case of TiO to address the question of whether TiO can exist at low pressure in sufficient abundances to produce stratospheric thermal inversions despite the nightside cold trap.Methods. We modeled the 3D circulation of HD 209458b including passive (i.e. radiatively inactive) tracers that advect with the 3D flow, with a source and sink term on the nightside to represent their condensation into haze particles and their gravitational settling.Results. We show that global advection patterns produce strong vertical mixing that can keep condensable species aloft as long as they are trapped in particles of sizes of a few microns or less on the nightside. We show that vertical mixing results not from small-scale convection but from the large-scale circulation driven by the day-night heating contrast. Although this vertical mixing is not diffusive in any rigorous sense, a comparison of our results with idealized diffusion models allows a rough estimate of the effective vertical eddy diffusivities in these atmospheres. The parametrization Kzz =5 × 104 / P bar m2 s-1 , valid from ~1 bar to a few μ bar, can be used in 1D models of HD 209458b. Moreover, our models exhibit strong spatial and temporal variability in the tracer concentration that could result in observable variations during either transit or secondary eclipse measurements. Finally, we apply our model to the case of TiO in HD 209458b and show that the day-night cold trap would deplete TiO if it condenses into particles bigger than a few microns on the planet’s nightside, keeping it from creating the observed stratosphere of the planet.

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Planetary population synthesis coupled with atmospheric escape: a statistical view of evaporation

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Transitions in the cloud composition of hot jupiters

TL;DR: Sagan Postdoctoral Fellowship through NASA Exoplanet Science Institute; Origins grant [NNX12AI196] as discussed by the authors was used for research in the field of exoplanet science.
References
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Book

Microphysics of Clouds and Precipitation

TL;DR: In this article, the authors focus on one major aspect of cloud microphysics, which involves the processes that lead to the formation of individual cloud and precipitation particles, and provide an account of the major characteristics of atmospheric aerosol particles.
Journal ArticleDOI

A Jupiter-Mass Companion to a Solar-Type Star

Michel Mayor, +1 more
- 23 Nov 1995 - 
TL;DR: The presence of a Jupiter-mass companion to the star 51 Pegasi is inferred from observations of periodic variations in the star's radial velocity as discussed by the authors, which would be well inside the orbit of Mercury in our Solar System.
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Atmospheric Modeling, Data Assimilation and Predictability

TL;DR: A comprehensive text and reference work on numerical weather prediction, first published in 2002, covers not only methods for numerical modeling, but also the important related areas of data assimilation and predictability.
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