Applying Machine Learning (ML) to Space Weather Prediction

April 5, 2021

A coronal mass ejection erupting from the Sun (left) and the resulting solar storm colliding with Earth’s protective magnetic field, the magnetosphere (right). Credit: NASA Goddard Space Flight Center.

NASA scientists and University partners are applying Machine Learning (ML) techniques to study the internal structure of interplanetary coronal mass ejections (ICMEs). With the support of SESDA software developers, they are using neural networks to connect simulations and observed magnetic clouds to understand and predict the internal magnetic structure of interplanetary coronal mass ejections which is a crucial step towards improving space weather forecast capability.

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