Deep Learning‐Based Regional Ionospheric Total Electron Content Prediction—Long Short‐Term Memory (LSTM) and Convolutional LSTM Approach

Deep Learning‐Based Regional Ionospheric Total Electron Content Prediction—Long Short‐Term Memory (LSTM) and Convolutional LSTM Approach

Abstract This study evaluates the performance of deep learning approach in the prediction of the ionospheric total electron content (TEC) during magnetically quiet periods. Two deep learning techniques, long short‐term memory (LSTM) and convolutional LSTM (ConvLSTM), are employed to predict TEC valu...

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Bibliographic Details
Main Authors: Se‐Heon Jeong, Woo Kyoung Lee, Hyosub Kil, Soojeong Jang, Jeong‐Heon Kim, Young‐Sil Kwak
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2023SW003763
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https://doi.org/10.1029/2023SW003763

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