Speaker
Description
Transitioning from fundamental heliophysics research to reliable operational flare forecasting requires overcoming critical methodological bottlenecks. A primary obstacle is the "Big Flare Syndrome", wherein traditional forecasting models relying on extensive magnetic parameters are inherently biased by the macroscopic size of an Active Region (AR), rather than accurately sensing its topological proximity to eruption. To break this barrier and provide a physics-based forecasting metric, a novel mathematical modeling framework - Natural Time Analysis (NTA) - is introduced to the domain of solar physics. NTA redefines the temporal domain by focusing on the sequential order and energetic weight of stress-accumulating events, decoupling the dynamical organization of the magnetic field from its mere total magnitude. By mapping high-cadence vector magnetogram data (SDO/HMI SHARP features) into the natural-time domain, the temporal evolution of highly flare-productive ARs is dynamically contrasted with non-flaring controls. The model reveals that extensive parameters tracking the accumulation of non-neutralized currents, magnetic helicity, and free energy exhibit distinctive, concurrent plunges into theoretically defined critical regimes hours prior to major M- and X-class eruptions. Intensive mean-field descriptors remain comparatively insensitive. This presentation will detail the mathematical development and current status of the NTA modeling framework, demonstrating its capability to physically diagnose the approach to MagnetoHydroDynamic (MHD) instability independently of AR size. Finally, a roadmap will be outlined to scale this proof-of-concept via large-scale data processing across multiple solar cycles. The ultimate objective is to integrate this physically grounded, size-independent diagnostic into next-generation operational pipelines, thereby providing a robust forecasting tool to advance European space weather modeling capabilities.
| Numerical model | FlareNowCast |
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