NCCR PlanetS: Observational And Computational Characterization Of Exoplanet Atmospheres

This chapter reviews the current state of observational and theoretical efforts in the characterization of exoplanet atmospheres, with a focus on developments enabled through the Swiss National Centre for Competence in Research (NCCR) PlanetS.

It covers the essential physical and chemical processes that govern atmospheric dynamics, radiative transfer, chemistry, and cloud formation in exoplanets and brown dwarfs. The review discusses the modeling approaches used to simulate these processes, ranging from simplified 1D models to fully coupled 3D general circulation models.

Atmospheric retrieval frameworks are presented as tools for inferring atmospheric properties from observational data, highlighting both classical Bayesian techniques and emerging machine learning methods.

Observational strategies using instruments like HST, JWST, and ground-based high-resolution spectrographs are also examined. Special emphasis is placed on the interplay between theory and observation, and how developments in modeling, data analysis, and instrumentation collectively advance our understanding of planetary atmospheres beyond the Solar System.

Daniel Kitzmann, Elspeth K. H. Lee, Jens Hoeijmakers, Kevin Heng

Comments: Chapter accepted for publication in the NCCR PlanetS Legacy Book: Benz, W. et al. (Eds), The National Center for Competence in Research, PlanetS: A Swiss-wide network expanding planetary sciences. Springer (2026)
Subjects: Earth and Planetary Astrophysics (astro-ph.EP)
Cite as: arXiv:2604.09385 [astro-ph.EP] (or arXiv:2604.09385v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2604.09385
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Submission history
From: Daniel Kitzmann
[v1] Fri, 10 Apr 2026 14:55:12 UTC (285 KB)
https://arxiv.org/abs/2604.09385
Astrobiology, Astronomy, exoplanet,