2019
DOI: 10.3847/1538-4357/ab05db
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Thermo-compositional Diabatic Convection in the Atmospheres of Brown Dwarfs and in Earth’s Atmosphere and Oceans

Abstract: By generalizing the theory of convection to any type of thermal and compositional source terms (diabatic processes), we show that thermohaline convection in Earth oceans, fingering convection in stellar atmospheres, and moist convection in Earth atmosphere are deriving from the same general diabatic convective instability. We show also that "radiative convection" triggered by CO/CH4 transition with radiative transfer in the atmospheres of brown dwarfs is analog to moist and thermohaline convection. We derive a… Show more

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Cited by 56 publications
(75 citation statements)
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“…To investigate the potential mechanism at play reducing the temperature gradient in brown dwarf atmospheres, Tremblin et al (2019) generalised convection and mixing length theory to include diabatic processes through thermal and compositional source terms, demonstrating that a number of convective systems in the Earth's atmosphere and oceans derive from the same instability criterion. In brown dwarf atmospheres, the thermal and compositional source terms are represented by radiative transfer and CO → CH 4 or N 2 → NH 3 chemistry, respectively, with the convective instability driven by opacity and/or mean molecular weight differences in the different chemical states.…”
Section: Future Workmentioning
confidence: 99%
See 1 more Smart Citation
“…To investigate the potential mechanism at play reducing the temperature gradient in brown dwarf atmospheres, Tremblin et al (2019) generalised convection and mixing length theory to include diabatic processes through thermal and compositional source terms, demonstrating that a number of convective systems in the Earth's atmosphere and oceans derive from the same instability criterion. In brown dwarf atmospheres, the thermal and compositional source terms are represented by radiative transfer and CO → CH 4 or N 2 → NH 3 chemistry, respectively, with the convective instability driven by opacity and/or mean molecular weight differences in the different chemical states.…”
Section: Future Workmentioning
confidence: 99%
“…A reduction in the atmospheric temperature gradient has also been explored in 1D models to provide an alternative explanation to the cloudy scenario for this reddening observed along the cooling sequence (Tremblin et al 2015;Tremblin et al 2016;Tremblin et al 2017a). This reduction in the temperature gradient has been linked to diabatic convection triggered by the CO/CH 4 transition in brown dwarf atmospheres (Tremblin et al 2019).…”
Section: Introductionmentioning
confidence: 99%
“…N = 0), the potential temperature is constant with atmospheric height and internal gravity waves cannot propagate (Sutherland 2010). This scenario is expected deeper in the atmosphere at higher gas pressures (for example, see Tremblin et al 2015Tremblin et al , 2019.…”
Section: Resultsmentioning
confidence: 95%
“…frequency of the wave is set by the frequency of the source for frequencies below the buoyancy frequency. In sub-stellar atmospheres the length scale of convective motions deep in the atmosphere is related to the atmospheric pressure scale height by a factor between 1 and 10 2 (Marley & Robinson 2015;Tremblin et al 2019) -for example, l conv ≈ 10 3 km in Freytag et al (2010) -varying with timescales of the order of 10 3 s (Tremblin et al 2019). 10 11 10 9 10 7 10 5 10 3 10 1 10 1 p/bar Fig.…”
Section: Resultsmentioning
confidence: 99%
“…This assessment confirms our conclusion that the upward transport of condensable elements through the atmosphere by mixing is indeed the key to understand cloud formation. However, challenges arise from the choice of the inner boundary condition (Carone et al 2019), chemical gradients (Tremblin et al 2019), and the need to include cloud particle feedback in order to test mixing parameterisations. A particular interesting case will be the ultra-hot Jupiters where day and night-sides can be expected to have very distinct (vertical) mixing patterns and scales.…”
Section: Introductionmentioning
confidence: 99%