An Ionospheric TEC Forecasting Model Based on a CNN-LSTM-Attention Mechanism Neural Network

An Ionospheric TEC Forecasting Model Based on a CNN-LSTM-Attention Mechanism Neural Network

Ionospheric forecasts are critical for space-weather anomaly detection. Forecasting ionospheric total electron content (TEC) from the global navigation satellite system (GNSS) is of great significance to near-earth space environment monitoring. In this study, we propose a novel ionospheric TEC forec...

Full description

Bibliographic Details
Main Authors: Jun Tang, Yinjian Li, Mingfei Ding, Heng Liu, Dengpan Yang, Xuequn Wu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Remote Sensing
Subjects:
ionospheric prediction
total electron content
deep learning
long-short term memory neural network
attention mechanism
Online Access:https://www.mdpi.com/2072-4292/14/10/2433

Internet

https://www.mdpi.com/2072-4292/14/10/2433

Similar Items