NASA’s COFFIES Uses AI to Predict Storm-Causing Active Regions on Sun
Early prediction of solar storms helps protect satellites, radio communications, and astronauts from high-energy radiation. This capability is particularly important for the safety of crewed missions to the Moon and Mars.
- Multidisciplinary researchers from NJIT, Princeton University, and NASA Ames Research Center collaborated under the COFFIES DRIVE Science Center
- The team utilized sliding-window transformer architecture to detect subtle precursor reductions in the Sun's acoustic activity and magnetic field
- The model analyzes data captured by NASA's Solar Dynamics Observatory using NASA Ames supercomputing resources
- The findings were published in the Journal of Geophysical Research: Machine Learning and Computation
- Early solar storm prediction capabilities aim to protect astronauts and equipment on NASA Artemis lunar missions and future Mars expeditions