Assessing robustness and bias in 1D retrievals of 3D Global Circulation Models at high spectral resolution: a WASP-76 b simulation case study in emission
Lennart van Sluijs, Hayley Beltz, Isaac Malsky, Genevieve H. Pereira, L. Cinque, Emily Rauscher, and Jayne Birkby

TL;DR
This study evaluates the reliability of 1D atmospheric retrievals for exoplanets using high-resolution spectroscopy, highlighting biases introduced by 3D atmospheric effects and the importance of model parameterization.
Contribution
It demonstrates how 1D retrievals can approximate 3D atmospheric conditions but are sensitive to spatial variations and model choices, informing future analysis strategies.
Findings
Retrievals broadly recover atmospheric conditions but are biased by spatial thermal gradients.
The choice of P-T and chemical profile parameterization affects retrieval accuracy.
Doppler offsets among opacity sources influence the interpretation of high-resolution spectra.
Abstract
High-resolution spectroscopy (HRS) of exoplanet atmospheres has successfully detected many chemical species and is quickly moving toward detailed characterization of the chemical abundances and dynamics. HRS is highly sensitive to the line shape and position, thus, it can detect three-dimensional (3D) effects such as winds, rotation, and spatial variation of atmospheric conditions. At the same time, retrieval frameworks are increasingly deployed to constrain chemical abundances, pressure-temperature (P-T) structures, orbital parameters, and rotational broadening. To explore the multidimensional parameter space, they need computationally fast models that are consequently mostly one-dimensional (1D). However, this approach risks introducing interpretation bias since the planet's true nature is 3D. We investigate the robustness of this methodology at high spectral resolution by running 1D…
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