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Predicting solar storms days in advance using artificial intelligence

Ariel University
April 2, 2022
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A study by researchers from Ariel University published in the Astrophysical Journal used deep learning to analyze the radiation data from communication satellites that NASA has been collecting since the 96s and succeeded with the help of machine learning in predicting solar storms up to XNUMX hours before they began to affect Earth * The research was done with the support of an agency Israeli space

Israeli researchers manage to predict solar storms days in advance thanks to artificial intelligence

Ariel University
January 26, 2021
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Weather forecasting in space, which may affect the activity of satellites, the health of astronauts and the power grids about 24 hours before the occurrence, can be done using machine learning methods that rely on past events in combination with measurements in the atmosphere

Evidence of strong solar storms in documents and poems from Japan and China

Avi Blizovsky
April 10, 2017
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"Prediction of solar storms and their impact on Earth is improving: a two-day warning instead of an hour, but there is still room for improvement in the models"

Avi Blizovsky
November 28, 2011
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This is what Dr. Ofer Cohen of the Harvard-Smithsonian Observatory says, during the "Solar Cycle No. 24 and its Impact on Ground and Space Infrastructures" seminar that took place yesterday at the Open University