Global Ionospheric TEC Map Prediction Based on Multichannel ED-PredRNN

Global Ionospheric TEC Map Prediction Based on Multichannel ED-PredRNN

High-precision total electron content (TEC) prediction can improve the accuracy of the Global Navigation Satellite System (GNSS)-based applications. The existing deep learning models for TEC prediction mainly include long short-term memory (LSTM), convolutional long short-term memory (ConvLSTM), and...

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Bibliographic Details
Main Authors: Haijun Liu, Yan Ma, Huijun Le, Liangchao Li, Rui Zhou, Jian Xiao, Weifeng Shan, Zhongxiu Wu, Yalan Li
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Atmosphere
Subjects:
total electron content (TEC)
multichannel ED-PredRNN
spatiotemporal prediction
solar activity
magnetic storms
Online Access:https://www.mdpi.com/2073-4433/16/4/422
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