Exoplanet atmosphere models

Forward and retrieval models used to interpret exoplanet transmission, emission, and reflection spectra. The dominant frameworks couple radiative transfer with chemical-equilibrium or kinetic chemistry, increasingly with self-consistent thermal profiles.

Known gaps

  • Clouds and hazes — most production models are cloud-free or use parameterized grey clouds because real cloud microphysics (nucleation, sedimentation, lateral patchiness) is computationally expensive. The 2026 src-jwst-ice-clouds-exoplanet-2026-04 result on water-ice-clouds in epsilon-indi-ab is one of the most explicit cases where this gap demonstrably misreads atmospheric composition.
  • Photochemistry false-positives — abiotic O₂ and CH₄ pathways are still being mapped (see src-oxygen-false-positive-biosignatures-2026-03).
  • 3D dynamics — most retrievals assume 1D atmospheres; rotation, day-night terminator effects, and patchy cloud decks are open problems. The 2026 limb-resolved JWST study of hot-jupiter wasp-94ab is the strongest case yet that terminator/limb asymmetry breaks 1D blended-limb retrievals: separating the cloudy morning limb from the clear evening limb corrected the planet’s oxygen/carbon abundance from “hundreds of times” to ~5× Jupiter (src-jwst-wasp-94ab-weather-cycle-2026-05). On wasp-121b, the observed dawn–dusk asymmetry amplitude exceeded model predictions, attributed to unmodeled silicate clouds at the morning terminator (src-jwst-wasp-121b-dawn-dusk-2026-06).