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Predicting Solar Corona Before Eclipse Using NASA Data

Researchers at Predictive Science have developed a model that uses measurements of the Sun’s changing magnetic field to predict solar eruptions in near real-time. This innovative approach has been made possible by creating an automated process that converts raw data from the Solar Dynamics Observatory (SDO). By continuously updating the magnetic field, researchers hope to improve the accuracy of their predictions and keep up with the Sun’s ever-changing activity.

Prior to this innovation, the model used a static snapshot of the surface magnetic field, which was not ideal for keeping up with the Sun’s ever-changing activity. In earlier iterations of the model, researchers had to manually analyze extreme ultraviolet activity to determine which areas of the Sun needed to be energized. With this new approach, researchers are able to identify areas of the Sun that should be energized and fine-tune the amount of energy to add to those areas.

By integrating the changing magnetic field into their model, researchers at Predictive Science have taken a significant step forward in predicting solar eruptions. This updated approach allows for a more dynamic representation of the Sun’s activity, which is crucial during periods of heightened solar activity like the one currently being experienced. The team is optimistic about the results that this year’s model will provide and is confident in its ability to accurately predict solar eruptions.

By Samantha Jones

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