Artificial intelligence has successfully predicted powerful solar storms before they hit Earth, marking a major breakthrough in space weather forecasting. Researchers at the University of Genoa trained advanced AI models to analyze decades of solar activity data, allowing them to recognize patterns and signals that human observation and traditional forecasting methods often miss.
The ability to predict solar flares and coronal mass ejections with greater accuracy and lead time is critical for modern civilization. A major solar storm can disrupt global power grids, disable communication satellites, interfere with GPS systems, and even affect airline operations. The new AI-based forecasting system could help governments, space agencies, and energy providers prepare well in advance, mitigating potential damage before it occurs.
The Sun’s constant motion generates powerful magnetic forces that shift and interact on its surface, producing solar flares and coronal mass ejections. These events have the potential to disrupt Earth’s technological infrastructure. The AI model demonstrated a much higher degree of accuracy than existing forecasting models, reducing uncertainty in both the strength and arrival time of geomagnetic storms.
The integration of AI into space weather forecasting has the potential to reshape how governments, industries, and individuals prepare for solar storms. With continued development, AI models could provide several days or even weeks of warning before a major solar storm occurs. This level of advance notice would allow for preventative action on a global scale, significantly reducing the risks associated with powerful space weather events.
By incorporating real-time data from NASA and European Space Agency (ESA) solar observation satellites, researchers plan to refine their AI models. As the Sun approaches Solar Maximum, a period of heightened activity expected in the next few years, the need for advanced space weather prediction has never been more urgent.
Source: https://indiandefencereview.com/ai-predict-solar-storms-cmes-before-hit