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AI-Based Model Precisely Predict Solar Storm Close Now

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Experts Bring An AI-Based Model – Precisely Predicts Solar Storm Worldwide

The studies show an increase in solar storms during which the Sun ejects large amounts of cosmic rays toward the Earth, causing extreme temperature rise.

The Sun is gearing up for a peak solar magnetic storm that occurs roughly after every 11 years and is forecasted to occur in 2025.

These solar storms range from mild to severe effects, but rapid growth in the world’s dependency on technology will cause the worst scenario and more disruptive consequences.

Therefore, a team of experts from NASA, the US Department of Energy, the US Geological Survey, and the Inter-University Centre for Astronomy and Astrophysics (IUCAA) in India collaborated to develop a new computer model called DAGGER at the Frontier Development Lab.

The new computer model, also known as Deep Learning Geomagnetic Perturbation, uses the artificial intelligence method “deep learning” and satellite data to forecast and alarm for dangerous space weather.

The AI model analyses spacecraft measurements of the solar wind (defined as a stream of charged particles released from the Sun) and predicts where an upcoming solar storm will strike on which location of Earth with 30 minutes of prior warning.

One day DAGGER-like models be the solar storm sirens benefiting us by providing enough time to take necessary precautions, minimizing damage, helping in future decisions, and preventing severe impacts on power stations and satellite control centers.

The team tested the DAGGER model accuracy during two geomagnetic storms in August 2011 and March 2015. The results were satisfying as the model forecasted the storm quickly and precisely.

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