Prediction Models of ≥2 MeV Electron Daily Fluences for 3 Days at GEO Orbit Using a Long Short-Term Memory Network

Prediction Models of ≥2 MeV Electron Daily Fluences for 3 Days at GEO Orbit Using a Long Short-Term Memory Network

Geostationary satellites are exposed to harsh space weather conditions, including ≥2 MeV electrons from the Earth’s radiation belts. To predict ≥2 MeV electron daily fluences at 75°W and 135°W at geostationary orbit for the following three days, long short-term memory (LSTM) network models have been...

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Bibliographic Details
Main Authors: Xiaojing Sun, Ruilin Lin, Siqing Liu, Bingxian Luo, Liqin Shi, Qiuzhen Zhong, Xi Luo, Jiancun Gong, Ming Li
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
≥2 MeV electron daily fluences
geostationary orbit
prediction model of high-energy electron
machine learning
LSTM
Online Access:https://www.mdpi.com/2072-4292/15/10/2538

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