Tempawral: A Time-Resolved Retrieval Framework for Variable Brown Dwarfs and Exoplanets

editorAstrobiology11 hours ago3 Views

Tempawral: A Time-Resolved Retrieval Framework for Variable Brown Dwarfs and Exoplanets

Top: Simulated time-series spectroscopy observation of a SIMP 0136-like brown dwarf for our Scenario 1. The difference between the each spectrum and time-averaged mean flux is shown at each phase to highlight the variability patterns. Center: the corresponding best-fit solution from the Tempawral atmospheric retrieval. Bottom: residuals between the simulated observations and the best-fit solution. — astro-ph.EP

Brown dwarfs and exoplanets are thought to host complex atmospheric phenomena such as clouds, storms, and chemical heterogeneity, akin to weather patterns on Earth. These features can produce pronounced spectral variability.

Time-variability monitoring provides a unique window into surface inhomogeneities that cannot be directly resolved with foreseeable imaging technology. Current time-series analysis techniques have provided qualitative constraints on variability mechanisms but lack the ability to quantitatively estimate the extent of variation on atmospheric properties.

We present Tempawral, the first data-driven time-resolved atmospheric retrieval framework that quantitatively retrieving variability in atmospheric parameters via an eigen-spectra inversion technique, leveraging the full spectra dataset.

We validate this method on simulated time-series spectra of a variable brown dwarf, demonstrating that it successfully recovers key variability drivers, including inhomogeneous cloud coverage, evolving chemical abundances, and changes in temperature structure. We further showcase the utility of Tempawral by applying it to JWST/NIRISS-SOSS time-series observations of a highly variable T2.5 brown dwarf.

The observed variability is best explained by a ∼300 K temperature perturbation near the 1-bar, accompanied by variations in the abundances of H2O, CO, FeH, as well as changes in the thickness of the iron cloud deck. This work provides a generalized framework for time-resolved atmospheric retrievals in the JWST era, enabling comprehensive interpretations of dynamic atmospheric processes in substellar objects.

Fei Wang, Ben Burningham, Stuart Littlefair, Etienne Artigau, Yuka Fujii, Jacqueline K. Faherty, Johanna M. Vos

Comments: Accepted in MNRAS
Subjects: Earth and Planetary Astrophysics (astro-ph.EP); Instrumentation and Methods for Astrophysics (astro-ph.IM); Solar and Stellar Astrophysics (astro-ph.SR)
Cite as: arXiv:2602.18984 [astro-ph.EP] (or arXiv:2602.18984v1 [astro-ph.EP] for this version)
https://doi.org/10.48550/arXiv.2602.18984
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Submission history
From: Fei Wang
[v1] Sun, 22 Feb 2026 00:04:43 UTC (24,537 KB)
https://arxiv.org/abs/2602.18984
Astrobiology,

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