Convolutional Neural Networks for Predicting the Strength of the Near-Earth Magnetic Field Caused by Interplanetary Coronal Mass Ejections

In this paper, we explore the potential of neural networks for making space weather predictions based on near-Sun observations. Our second goal is to determine the extent to which coronal polarimetric observations of erupting structures near the Sun encode sufficient information to predict the impac...

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Bibliographic Details
Main Authors: Anna Malanushenko, Natasha Flyer, Sarah Gibson
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fspas.2020.00062/full