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Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory

John C. DorelliChris BardThomas Y. Chen ...+10 Barbara Thompson
Dec 2022
摘要
Traditionally, data analysis and theory have been viewed as separatedisciplines, each feeding into fundamentally different types of models. Moderndeep learning technology is beginning to unify these two disciplines and willproduce a new class of predictively powerful space weather models that combinethe physical insights gained by data and theory. We call on NASA to invest inthe research and infrastructure necessary for the heliophysics' community totake advantage of these advances.
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