Researchers at Predictive Science have made a remarkable breakthrough by developing a model that uses real-time measurements of the Sun’s magnetic field to predict solar eruptions. By creating an automated process that converts raw data from the Solar Dynamics Observatory (SDO), the team is able to track how magnetic flux and energy are injected into the corona over time. This dynamic element allows the corona to evolve and eventually lead to solar eruptions.

In earlier iterations of the model, researchers relied on a static snapshot of the surface magnetic field, which was not ideal for tracking the ever-changing activity of the Sun. To improve accuracy, they had to manually analyze extreme ultraviolet activity to determine which areas of the Sun should be powered. However, with this new approach, researchers can continuously update the magnetic field, providing a more accurate prediction of solar eruptions.

Predictive Science researchers are optimistic about their latest model and are confident in its ability to accurately predict solar eruptions during periods of increased solar activity such as those currently being experienced. The team believes that this updated approach will lead to more accurate predictions and allow for better preparation for space weather events that can impact Earth’s atmosphere and power grid.

By Samantha Johnson

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