Predicting Solar Corona Before Eclipse Using NASA Data

Revolutionary Solar Eruption Prediction Model Leverages Real-Time Magnetic Field Data from the Sun Dynamics Observatory

Researchers at Predictive Science have developed a model that uses real-time measurements of the Sun’s changing magnetic field to predict solar eruptions. By automating the process of converting raw data from the Solar Dynamics Observatory (SDO), they have created an algorithm that identifies areas of the Sun that should be energized and fine-tunes the amount of energy to add to those areas.

The team’s model was previously limited by using a static snapshot of the surface magnetic field, which made it challenging to keep up with the Sun’s ever-changing activity. In earlier iterations, researchers had to manually analyze extreme ultraviolet activity to determine which areas of the Sun needed to be energized. However, with this new approach, researchers are now able to continuously update the magnetic field and improve the accuracy of their predictions.

This updated model allows for a more dynamic representation of the Sun’s activity, which is critical during periods of heightened solar activity like the one currently being experienced. The team at Predictive Science is optimistic about this year’s model and confident in its ability to accurately predict solar eruptions.

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