Scientists have developed a new probabilistic forecasting system for extreme solar flares, known as "S-class" superflares, which are capable of causing widespread technological disruptions. This system, utilizing machine learning and analysis of historical solar activity, identifies specific time windows and regions on the sun where these powerful eruptions are more likely to occur. The research suggests a heightened risk for such an event between mid-2025 and mid-2026, potentially providing one to two years of advance warning for space weather operators. AI
IMPACT New machine learning-based forecasting system offers potential for early warning of disruptive solar events.
RANK_REASON Scientific paper proposing a new forecasting method for solar flares. [lever_c_demoted from research: ic=1 ai=0.4]
- Artemis II
- Artemis III
- Blue Origin
- Journal of Geophysical Research: Space Physics
- NASA
- National Autonomous University of Mexico
- NOAA
- S-class solar flares
- SpaceX
- Sun
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
