ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features

ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features

Abstract In this paper, we propose a novel Total Electron Content (TEC) map prediction model, named ED‐AttConvLSTM, using a Convolutional Long Short‐Term Memory (ConvLSTM) network and attention mechanism based on encoder‐decoder structure. The inclusion of the attention mechanism enhances the effici...

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Bibliographic Details
Main Authors: Liangchao Li, Haijun Liu, Huijun Le, Jing Yuan, Haoran Wang, Yi Chen, Weifeng Shan, Li Ma, Chunjie Cui
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2023SW003740
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https://doi.org/10.1029/2023SW003740

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