The Comparison of Predicting Storm-Time Ionospheric TEC by Three Methods: ARIMA, LSTM, and Seq2Seq

• Published in: Atmosphere Vol. 11; no. 4; p. 316
• Main Authors: Tang, Rongxin, Zeng, Fantao, Chen, Zhou, Wang, Jing-Song, Huang, Chun-Ming, Wu, Zhiping
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.04.2020
• Subjects: deep learning; geomagnetic storm; ionospheric tec; space weather; time series prediction

Ionospheric structure usually changes dramatically during a strong geomagnetic storm period, which will significantly affect the short-wave communication and satellite navigation systems. It is critically important to make accurate ionospheric predictions under the extreme space weather conditions....