The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning

The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning

Abstract The accurate prediction of storm‐time thermospheric mass density is always critically important and also a challenge. In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. However, the generalization ability of the d...

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Bibliographic Details
Main Authors: Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Space Weather
Subjects:
thermospheric mass density
geomagnetic storms
the LSTM‐based ensemble learning model
NRLMSISE‐00
Online Access:https://doi.org/10.1029/2021SW002950
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