Scientists use NASA data to predict solar corona before eclipse | Trending Viral hub

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To build their model, Predictive Science researchers use measurements of the Sun’s changing magnetic field at the solar surface to drive their model in near real time. A key to this innovation was the creation of an automated process that converts raw SDO data to show how magnetic flux and energy are injected into the corona over time. Adding these dynamics to the model allows the corona to evolve over time, causing solar flares. “We developed a software process that took the magnetic field maps, selected all the areas that should be energized, and then adjusted the amount of energy to add to those areas,” Mason said. Creating this automated channel was a big step forward for the team. In previous predictions, the model used a static snapshot of the surface magnetic field, which is not ideal for keeping up with the ever-changing Sun, especially during our current period of intense solar activity. Similarly, in iterations of 2017 and 2021, Mason explained that a teammate used to “literally draw by hand which areas of the Sun needed to be energized” by analyzing extreme ultraviolet activity in certain regions. Continuous updating of the magnetic field is critical to all of this year’s model changes, and the team has high hopes for the results.

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