SwRI and NSF-NCAR Develop Tool for Long-Term Space Weather Forecasting
Southwest Research Institute and NSF's National Center for Atmospheric Research have created a new tool that forecasts space weather weeks in advance. The tool, PINNBARDS, integrates solar active region observations with a physical model and machine learning, aiming to mitigate impacts on GPS, power grids, and astronaut safety. It utilizes data from the Solar Dynamics Observatory to reconstruct subsurface magnetic dynamics, providing critical conditions for predicting solar eruptions.
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Southwest Research Institute (SwRI) and the National Center for Atmospheric Research (NSF-NCAR) have developed a tool named PINNBARDS, which enables forecasting of space weather weeks in advance, enhancing the ability to mitigate impacts on GPS, power grids, and astronaut safety. This tool connects surface observations of solar active regions to deep magnetic dynamics of the Sun.
Current forecasting methods yield predictions only hours before solar events. The research utilized data from the Solar Dynamics Observatory and was funded by NASA's Heliophysics Guest Investigator Open program and other institutions. The new approach offers improved forecasting capabilities crucial for satellite and communication infrastructure protection.
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