SOURCE-LINKED INTELLIGENCE
From photons to storms: Revealing the 3D structure of giant exoplanet atmospheres
p the machinery to map the 3D, dynamical atmospheres of giant exoplanets, from strongly irradiated to the most isolated ones. The modeling challenge will be addressed through a feedback between novel machine learning inference methods and hydrodynamical models. Our project will answer the three questions: (i) what are the properties, scales and lifetimes of storms on isolated planets? (ii) how do flows transport gas on irradiated planets? (iii) how do atmospheres of planets on eccentric orbits react to changing irradiation? VORTEX will have a long-lasting impact by enabling the 3D interpretation of exoplanet spectra. Answers to the questions above will reveal which processes govern the 3D atmospheres of exoplanets. Our methods will pave the way for analyzing similarly complex astronomical datasets recorded with the largest telescopes. 3D Atmospheric characterization, Machine Learning Inference
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1993750
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.