Prediction of Solar Wind Speed Through Machine Learning From Extrapolated Solar Coronal Magnetic Field

Prediction of Solar Wind Speed Through Machine Learning From Extrapolated Solar Coronal Magnetic Field

Abstract An accurate solar wind (SW) speed model is important for space weather predictions, catastrophic event warnings, and other issues concerning SW—magnetosphere interaction. In this work, we construct a model based on convolutional neural network (CNN) and Potential Field Source Surface (PFSS)...

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Bibliographic Details
Main Authors: Rong Lin, Zhekai Luo, Jiansen He, Lun Xie, Chuanpeng Hou, Shuwei Chen
Format: Article
Language:English
Published: Wiley 2024-06-01
Series:Space Weather
Subjects:
solar wind speed
convolutional neural network
potential field source surface
Online Access:https://doi.org/10.1029/2023SW003561
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