Using NASA Data, Scientists Forecast Solar Corona Ahead of Eclipse

Revolutionizing Solar Predictions: Real-Time Model Uses Sun’s Magnetic Field to Improve Forecasting

In a groundbreaking development, researchers at Predictive Science have created a model that uses real-time measurements of the Sun’s changing magnetic field at the solar surface. This model is driven by converting raw data from the Solar Dynamics Observatory (SDO) into an automated process that picks out areas on the Sun’s surface that should be energized and fine-tunes the amount of energy to add to those areas.

The key innovation in this model was the creation of an automated process that constantly updates the magnetic field data in near real-time. Previous predictions relied on a static snapshot of the surface magnetic field, which was not ideal for keeping up with the ever-changing Sun, especially during periods of heightened solar activity. With this new model, researchers are optimistic about the results they will achieve, as it allows them to continuously update and improve their predictions.

In past iterations of the model, researchers had to manually analyze extreme ultraviolet activity in certain regions of the Sun and hand-draw which areas needed to be energized. However, with the continuous updating of the magnetic field now integrated into the model, this process is no longer necessary. By constantly monitoring and adjusting the magnetic field data, researchers hope to improve their understanding of solar eruptions and other periods of increased solar activity.

Overall, this new model represents a significant advancement in predicting solar events and provides valuable insights into how changes in the Sun’s magnetic field affect our planet’s atmosphere and climate.

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