2010
DOI: 10.1017/s1743921310007349
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Atmospheric moons Galileo would have loved

Abstract: Abstract. In the spirit of the symposium and the theme of the session of this presentation, "Our solar system after Galileo, the grand vision," I review briefly a relatively recently discovered phenomenon in the solar system − existence of atmospheres on certain moons, including Io, one of the four moons Galileo discovered four centuries ago. The origin of such atmospheres is discussed, and comparisons are made between various gassy moons.

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Cited by 4 publications
(8 citation statements)
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“…This combined with advances in understanding the high-pressure microwave absorption of ammonia, which possesses a strong inversion band just longward of 1-cm wavelength, led to a consistent story of deeply convective atmospheres with ammonia as the dominant absorber (Gulkis and Poynter, 1972;Berge and Gulkis, 1976;Klein and Gulkis, 1978). The whole disk spectrum through the microwave region for Saturn led to a value for the deep atmosphere mixing ratio of ammonia of about three times the solar abundance, value consistent with previous work (de Pater, 1990;Atreya, 2010), and our analysis in L13. The measured disk temperature spectrum of Saturn may be found in de Pater and Massie (1985) and van der Tak et al (1999).…”
Section: Introductionsupporting
confidence: 83%
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“…This combined with advances in understanding the high-pressure microwave absorption of ammonia, which possesses a strong inversion band just longward of 1-cm wavelength, led to a consistent story of deeply convective atmospheres with ammonia as the dominant absorber (Gulkis and Poynter, 1972;Berge and Gulkis, 1976;Klein and Gulkis, 1978). The whole disk spectrum through the microwave region for Saturn led to a value for the deep atmosphere mixing ratio of ammonia of about three times the solar abundance, value consistent with previous work (de Pater, 1990;Atreya, 2010), and our analysis in L13. The measured disk temperature spectrum of Saturn may be found in de Pater and Massie (1985) and van der Tak et al (1999).…”
Section: Introductionsupporting
confidence: 83%
“…The JAMRT program has the capability to compute radiometric brightness temperatures for user-selectable absorber concentrations and cloud properties of condensable species, including their relative humidities in the cloud regions. Table 4 gives an estimate of Saturn's deep atmosphere composition based on values derived from Atreya (2010). Fig.…”
Section: Emission Modelmentioning
confidence: 99%
“…At very low temperatures ( T ≲ 300 K), H 2 O itself condenses out of the upper atmosphere, making spectroscopic observations of H 2 O in super-Earths extremely challenging, similar to the challenges in measuring H 2 O abundances in giant planets in the solar system (see e.g. Atreya 2010). On the other hand, even for warmer atmospheres ( T ~300–1000 K), several other volatile species, such as NaCl, KCl, Na 2 S, etc., can condense out leading to cloudy super-Earth atmospheres in this temperature range, as is likely the case with the super-Earth GJ 1214b (Bean et al 2011; Morley et al 2013).…”
Section: Constraints From Atmospheric Spectramentioning
confidence: 99%
“…Table 1 gives the atmospheric constituents and their respective abundances in the model atmosphere, including the values used for the solar abundances. H 2 O, NH 3 , PH 3 , and H 2 S are the condensable gases (Atreya, 2010). H 2 S reacts with NH 3 to form an NH 4 SH cloud with a base around 5 bars.…”
Section: Observations and Radiative Transfer Modelmentioning
confidence: 99%
“…The water cloud is deeper (base $10 bars) and out of the sensitivity range of the 2.2-cm Table 1 Abundances of atmospheric constituents in the JAMRT program. Solar and enrichment values are from Atreya (2010), who calculated solar abundances from the photospheric values of Grevesse et al (2005 weighting function. In the model, the presence of the ammonia ice cloud particles does not affect the 2.2-cm brightness temperature significantly, although the depletion of ammonia vapor by the formation of the clouds does.…”
Section: Observations and Radiative Transfer Modelmentioning
confidence: 99%