A spatiotemporal agent-based model simulates satellite responses to extreme space weather and provides real-time maneuver guidance with 92% accuracy using 41,644 satellite records and 5 historical events.
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physics.geo-ph 1years
2026 1verdicts
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Preparing for the Next Carrington: Spatiotemporal Agent-Based Modeling for Safeguarding Satellite Infrastructure Under Extreme Space Weather Disturbances
A spatiotemporal agent-based model simulates satellite responses to extreme space weather and provides real-time maneuver guidance with 92% accuracy using 41,644 satellite records and 5 historical events.