Storm‐Time Characteristics of Ionospheric Model (MSAP) Based on Multi‐Algorithm Fusion

• Published in: Space Weather Vol. 22; no. 1
• Main Authors: Chen, Zhou, Wang, Kang, Li, Haimeng, Liao, Wenti, Tang, Rongxin, Wang, Jing‐song, Deng, Xiaohua
• Format: Journal Article
• Language: English
• Published: Washington John Wiley & Sons, Inc 01.01.2024; Wiley
• Subjects: Algorithms; Communications systems; Correlation; Geomagnetic storms; Geomagnetism; Global navigation satellite system; Ionosphere; Ionospheric disturbances; Ionospheric electron content; Ionospheric models; Machine learning; Magnetic storms; Monthly variations; Navigation satellites; Navigation systems; Radio communications; Root-mean-square errors; Satellites; Solar activity; Storms; Total Electron Content; Universal time

Geomagnetic storms induce ionospheric disturbances, affecting short‐wave radio communication systems. Accurate ionospheric total electron content (TEC) prediction is vital for accurately describing the short‐wave radio environment of the ionosphere. We use the Multi‐Step Auxiliary Prediction (MSAP)...