A Predictive Model of the Position of Plasmapause Based on Lunar Phase and Deep Learning Framework

A Predictive Model of the Position of Plasmapause Based on Lunar Phase and Deep Learning Framework

Abstract The plasmapause position is crucial for understanding magnetospheric dynamics and space weather forecasting. This study pioneers the integration of lunar phase (LP) into plasmapause modeling using two neural network architectures (BP and fully connected neural network) and a large database...

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Bibliographic Details
Main Authors: Yajun Li, Chao Xiao, Quanqi Shi, Hongtao Huang, Huizi Wang, Anmin Tian, Die Duan, Ganming Ren, Tao Tang, Yang Lin, Chenghao Li, Jiajia Suo
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Geophysical Research Letters
Subjects:
lunar phase
plasmapause
neural network
space weather forecast
Online Access:https://doi.org/10.1029/2025GL116485
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