A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices-Reference-Cited by-同舟云学术

A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices

Published:2022-10 Issue:10 Volume:20 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Zhang H.¹²³^ORCID,Xu H. R.¹,Peng G. S.¹,Qian Y. D.¹^ORCID,Zhang X. X.²³^ORCID,Yang G. L.²³,Shen C.⁴^ORCID,Li Z.¹^ORCID,Yang J. W.¹,Wang Z. Q.⁵^ORCID,He F.⁶^ORCID,Gu C. L.⁷,Zhu M. B.⁷

Affiliation:

1. Institute of Space Weather Nanjing University of Information Science & Technology Nanjing China

2. Key Laboratory of Space Weather National Center for Space Weather China Meteorological Administration Beijing China

3. Innovation Center for FengYun Meteorological Satellite (FYSIC) China Meteorological Administration Beijing China

4. Harbin Institute of Technology Shen Zhen China

5. College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing China

6. NMR Key Laboratory for Polar Science Polar Research Institute of China Shang Hai China

7. Beijing Institute of Applied Meteorology Beijing China

Funder

National Natural Science Foundation of China

Shenzhen Graduate School, Peking University

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022SW003126

Reference37 articles.

1. Linear prediction filter analysis of relativistic electron properties at 6.6RE

2. Exploring the cross correlations and autocorrelations of the ULF indices and incorporating the ULF indices into the systems science of the solar wind-driven magnetosphere

3. Acceleration of relativistic electrons via drift-resonant interaction with toroidal-mode Pc-5 ULF oscillations

4. Neural network prediction of relativistic electrons at geosynchronous orbit during the storm recovery phase: effects of recurring substorms

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