AI Detects Early Signs of Solar Storms 9.24 Hours in Advance: New Model Captures Early Warning Signals from Acoustic Waves and Magnetic Field Changes

A team from New Jersey Institute of Technology developed the machine learning model EarlyDetect, which uses Transformer to analyze solar acoustic activity and magnetic field change data (SDO) to identify early signs of solar active regions. Although the emergence of active regions takes only a few hours, their full development can take one to several days. This model has the potential to provide earlier supplementary information for space weather forecasting.