Abstract
Spectral retrieval has long been a powerful tool for interpreting planetary remote sensing observations. Flexible, parameterised, agnostic models are coupled with inversion algorithms in order to infer atmospheric properties directly from observations, with minimal reliance on physical assumptions. This approach, originally developed for application to Earth satellite data and subsequently observations of other Solar System planets, has been recently and successfully applied to transit, eclipse and phase curve spectra of transiting exoplanets. In this review, we present the current state-of-the-art in terms of our ability to accurately retrieve information about atmospheric chemistry, temperature, clouds and spatial variability; we discuss the limitations of this, both in the available data and modelling strategies used; and we recommend approaches for future improvement.
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Acknowledgements
JKB was supported by a Royal Astronomical Society Research Fellowship during this work. KH thanks the Swiss National Science Foundation, PlanetS National Center of Competence in Research, European Research Council via Consolider Grant number 71620 and MERAC Foundation for partial financial support. We thank the two anonymous reviewers whose comments improved the clarity of this manuscript.
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Understanding the Diversity of Planetary Atmospheres
Edited by François Forget, Oleg Korablev, Julia Venturini, Takeshi Imamura, Helmut Lammer and Michel Blanc
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Barstow, J.K., Heng, K. Outstanding Challenges of Exoplanet Atmospheric Retrievals. Space Sci Rev 216, 82 (2020). https://doi.org/10.1007/s11214-020-00666-x
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DOI: https://doi.org/10.1007/s11214-020-00666-x