基于SSA-LSTM的短期电离层TEC组合预报模型

WU Han,HUANG Ling,LIU Lilong,HUANG Liangke,ZHANG Hongping

Journal of Geodesy and Geodynamics（2022）

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Abstract

针对电离层总电子含量(TEC)时间序列具有高噪声、非线性和非平稳的特性,在奇异谱分析基础上,融合长短期记忆神经网络模型构建短期电离层组合预报改进模型,并对磁暴期、磁平静期的电离层TEC预报精度进行分析.结果表明,在磁暴期和磁平静期,该模型预报3 d的TEC相对精度分别为91.17％和95.46％,比单一LSTM模型分别提高4.92百分点和3.17百分点.

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