NASA uses AI to predict solar storms, allowing Earth to respond to crises half an hour in advance

IT Home News on May 15th, NASA researchers used artificial intelligence (AI) models to analyze solar storm data and developed an early warning system that can prevent solar storms from causing potential disasters on the earth. The Earth is given about 30 minutes of warning time before sexual impact.

When a violent explosion occurs on the surface of the sun, a large amount of high-energy particles and plasma will be ejected into space. This is a solar storm. Because these materials travel slower than the speed of light, they can be detected in advance through radio signals as they approach the Earth. The main harm caused by solar storms to the earth is to interfere with or damage power and communication facilities. For example, a solar storm 35 years ago caused a power outage in Quebec for several hours. If a more extreme solar storm occurred, such as the Carrington event more than 150 years ago, today's power and communications infrastructure would suffer massive damage.

This issue has always attracted the attention of scientists. There are currently many satellites monitoring the sun that can be used to detect these solar storms. The NASA team relied on data from the ACE, Wind, IMP-8 and Geotail satellites.

It is not enough to know that a solar storm is coming, you must understand what impact it will cause when it reaches the Earth. To this end, the researchers also collected data from ground stations that were also affected by some of the storms detected by satellites.

The scientists then began training a deep learning model, which they named DAGGER, most notably for its improved speed compared to existing predictive algorithms trying to do the same thing. Researchers led by Vishal Upendran of the Inter-University Center for Astronomy and Astrophysics in India claim that the algorithm can predict the severity and direction of a solar storm event in less than a second , and one prediction can be made every minute. In the past, early algorithms took longer to execute, leaving little advance warning before solar storms hit Earth.

This solar storm warning system combines predictive speed and capability, making DAGGER a major advancement in predicting and accurately responding to the potential dangers of solar storms. IT House noted that the system has been released on an open source platform to collect large amounts of data before the sun reaches the peak of its 11-year solar activity cycle (expected in 2025). This gives utilities and communications companies several years to integrate DAGGER into their threat assessment systems to prepare before the worst solar storms arrive.

The above is the detailed content of NASA uses AI to predict solar storms, allowing Earth to respond to crises half an hour in advance. For more information, please follow other related articles on the PHP Chinese website!