Surya: Foundation Model for Heliophysics
Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Marcus Freitag, Julian Kuehnert, Theodore van Kessel, Dinesha V. Hegde, Andr\'es Mu\~noz-Jaramillo, Johannes Jakubik, Etienne Vos, Kshitiz Mandal, Ata Akbari Asanjan, Joao Lucas de Sousa Almeida, Amy Lin, Talwinder Singh

TL;DR
Surya is a large foundation model for heliophysics that learns general solar representations from multi-instrument observations, enabling improved forecasting and analysis of solar phenomena through a novel transformer architecture.
Contribution
It introduces the first foundation model in heliophysics using time advancement as a pretext task with a spatiotemporal transformer architecture, enhancing generalization across solar tasks.
Findings
Zero-shot forecasting of solar dynamics and flares
Strong performance in solar wind prediction and active region segmentation
Effective fine-tuning with LoRA for various solar tasks
Abstract
Heliophysics is central to understanding and forecasting space weather events and solar activity. Despite decades of high-resolution observations from the Solar Dynamics Observatory (SDO), most models remain task-specific and constrained by scarce labeled data, limiting their capacity to generalize across solar phenomena. We introduce Surya, a 366M parameter foundation model for heliophysics designed to learn general-purpose solar representations from multi-instrument SDO observations, including eight Atmospheric Imaging Assembly (AIA) channels and five Helioseismic and Magnetic Imager (HMI) products. Surya employs a spatiotemporal transformer architecture with spectral gating and long--short range attention, pretrained on high-resolution solar image forecasting tasks and further optimized through autoregressive rollout tuning. Zero-shot evaluations demonstrate its ability to forecast…
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Taxonomy
TopicsSolar and Space Plasma Dynamics · Ionosphere and magnetosphere dynamics · Tropical and Extratropical Cyclones Research
