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Radiative Transfer for Exoplanet Atmospheres

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Preprint , Other literature type 01 Jan 2017Embargo end date: 01 Jan 2017 English Publisher:Springer International Publishing

Authors: Kevin Heng; Mark S. Marley;

doi: 10.1007/978-3-319-55333-7_102 , 10.1007/978-3-319-30648-3_102-1 , 10.48550/arxiv.1706.03188

arXiv: http://arxiv.org/abs/1706.03188

Radiative Transfer for Exoplanet Atmospheres

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Abstract

Remote sensing of the atmospheres of distant worlds motivates a firm understanding of radiative transfer. In this review, we provide a pedagogical cookbook that describes the principal ingredients needed to perform a radiative transfer calculation and predict the spectrum of an exoplanet atmosphere, including solving the radiative transfer equation, calculating opacities (and chemistry), iterating for radiative equilibrium (or not), and adapting the output of the calculations to the astronomical observations. A review of the state of the art is performed, focusing on selected milestone papers. Outstanding issues, including the need to understand aerosols or clouds and elucidating the assumptions and caveats behind inversion methods, are discussed. A checklist is provided to assist referees/reviewers in their scrutiny of works involving radiative transfer. A table summarizing the methodology employed by past studies is provided.

7 pages, no figures, 1 table. Filled in missing information in references, main text unchanged

Related Organizations

National Aeronautics and Space Administration
United States
University of Bern
Switzerland
Ames Research Center
United States

Keywords

Earth and Planetary Astrophysics (astro-ph.EP), Physics - Atmospheric and Oceanic Physics, Atmospheric and Oceanic Physics (physics.ao-ph), FOS: Physical sciences, Astrophysics - Earth and Planetary Astrophysics

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average