Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles

Deep Learning-Based Vertical Decomposition of Ionospheric TEC into Layered Electron Density Profiles

This study proposes a deep learning-based vertical decomposition model for ionospheric Total Electron Content (TEC), which establishes a nonlinear mapping from macroscale TEC data to vertically layered electron density (Ne) spanning 60–800 km by integrating geomagnetic indices (AE, SYM-H) and solar...

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Bibliographic Details
Main Authors: Jialiang Zhang, Jianxiang Zhang, Zhou Chen, Jingsong Wang, Cunqun Fan, Yan Guo
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Atmosphere
Subjects:
total electron content
electron density decomposition
deep learning
ionospheric modeling
Online Access:https://www.mdpi.com/2073-4433/16/5/598
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