A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval

A Kp‐Driven Machine Learning Model Predicting the Ultraviolet Emission Auroral Oval

Abstract Auroras can intuitively reflect the energy coupling between the Sun and the Earth and are an excellent indicator for monitoring and predicting space weather effects. Establishing an auroral oval model driven by the geomagnetic index, predicted up to 3 days ahead, can effectively assess ener...

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Bibliographic Details
Main Authors: Huiting Feng, Dedong Wang, Yuri Y. Shprits, Artem Smirnov, Deyu Guo, Yoshizumi Miyoshi, Stefano Bianco, Shangchun Teng, Run Shi, Su Zhou, Yongliang Zhang
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Subjects:
auroral oval
Kp
XGBoost
random forest
KNN
Online Access:https://doi.org/10.1029/2024JH000543
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https://doi.org/10.1029/2024JH000543

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