Science and Tech

Ready for The Solar Storm: NASA-Enabled AI System May Warn in Advance About Solar Storm 

NASA: Uses AI-enabled System to Detect Solar Storm

The world is ready for tomorrow’s solar storm but where it hit it is still unknown.  

But NASA is ready to detect the location, where the solar storm hit earlier. NASA built a new computer model that uses AI to analyze the spacecraft measurements of the solar wind and predict where an impending solar storm will strike, anywhere on earth, with 30 minutes of advance warning. 

Solar Storm Devastating Impact on Technologies

The sun constantly sheds solar materials both in a steady flow known as the “solar wind” and in shorter more energetic bursts from solar eruptions. 

When these solar materials hit the earth’s magnetic environment it creates so-called geomagnetic storms.  

The geomagnetic storm causes disruption in technologies like satellites and telecommunications. 

In history, there were two geomagnetic storms that hit the earth. 

First – In 1859 the solar storm was intense at the Carrington Event, which generate fires at the TV Stations. If it happens today, it causes more severe damage to global communications and it would be dangerous for the economy as well. 

Second – The second occurred in 1989 and caused electrical blackouts across Quebec for 12 hrs, which left millions of Canadians in the dark and closed schools and businesses. 

Also Read: Will Earth Turn to Dust as it’s Getting Closer to Sun?

NASA Will Use AI-Enable Model to Provide Advance Warning of Solar Storm 

NASA: Uses AI-enabled System to Detect Solar Storm

NASA build the computer system Dagger (Deep Learning Geomagnetic Perturbation) that can quickly predict the Geostorm 30 minutes before they occur.  

The model can produce predictions in less than a second and update about storms every minute. 

Dagger computer model uses AI to analyze the real-time measurement from space and across the earth to generate accurate and precise predictions of the solar storm. 

The dagger model was built by a team of researchers at the Frontier Development Lab – a public-private partnership that includes NASA, the U.S. Geological Survey, and the U.S. Department of Energy. 

The researchers applied an A.I. method called “deep learning” which trains computers to recognize patterns based on previous examples. They used this type of AI to identify the relationship between solar wind measurements from Heliophysics missions and geomagnetic perturbations observed at ground stations across the planet. 

The dagger model computer code is open source, and it could be used by power grid operators, satellite controllers, and telecommunications companies. 

This model gives them an advance warning which helps them to prepare everything in advance before a solar storm hit the earth.

 “With this AI, it is now possible to make rapid and accurate global predictions and inform decisions in the event of a solar storm, thereby minimizing – or even preventing – devastation to modern society,” said Vishal Upendran of the Inter-University Centre for Astronomy and Astrophysics in India. 

Also Read: Scientists Expose the Controversial Theory of Stonehenge as a Solar Calendar

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