ISNet: Decomposed Dynamic Spatio‐Temporal Neural Network for Ionospheric Scintillation Forecasts
Abstract Accurate prediction of ionospheric scintillation is essential for ensuring the reliability of spaceborne and ground‐based radio wave technology infrastructures, including but not limited to navigation and communication systems. In this study, we propose a deep learning‐based Ionospheric Sci...
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Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2025-06-01
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Series: | Space Weather |
Online Access: | https://doi.org/10.1029/2024SW004239 |
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