Advanced Solar Radiation Forecasting Models Protect Artemis II Astronauts
Michigan Engineering scientists have developed sophisticated physics-based models combined with machine learning to predict dangerous solar energetic particle storms during the Artemis II mission.
Key Points
- Physics-based models combined with machine learning predict solar particle storms
- Uses data from Solar and Heliospheric Observatory and Solar Dynamics Observatory
- Provides warnings for astronauts to seek shelter from radiation
- Critical for deep space missions beyond Earth's magnetosphere
Full Details
NASA is testing advanced solar radiation forecasting models during the Artemis II mission to protect astronauts from harmful solar energetic particles during deep space missions. Scientists at Michigan Engineering developed these sophisticated physics-based models that delve deeper into the dynamics of solar particle storms beyond just predicting probability. The models combine physics-based simulations with machine learning algorithms to provide more accurate predictions of solar proton events and coronal mass ejections. Real-time solar satellite imagery from the Solar and Heliospheric Observatory and Solar Dynamics Observatory feeds these models. The goal is to give astronauts sufficient warning to seek shelter when dangerous radiation storms approach, which is critical for missions traveling beyond Earth's protective magnetosphere.
Why It Matters
Improved solar radiation forecasting represents a major advancement for human space exploration, making long-duration missions to the Moon and eventually Mars significantly safer by enabling proactive protection against space weather hazards.
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