Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit

The increase in energetic electron flux is a complex nonlinear phenomenon with a profound impact on satellite operations in geosynchronous orbit. Previous research, conducted both locally and internationally, has developed models relying on extensive data to predict occurrences associated with the amplification of high-energy electron fluxes. This study conducts a comprehensive examination of significant research discoveries in the field, with a specific focus on selecting prediction factors and methods for designing forecast models. The study introduces key features of solar wind parameters and their correlation with high-energy electron fluxes, emphasizing the selection of forecast factors. Additionally, it highlights the attributes of geomagnetic indices and their relationship with solar wind parameters. Linear and nonlinear models are presented, with linear models categorized as single-input and multi-input, and nonlinear models classified as single-model design and fusion-model design. The study also explores shallow and deep models as distinct methodologies in nonlinear modeling. In conclusion, this study provides an overview of current research findings and approaches while offering insights into the future development patterns in this domain for the forthcoming term.

Authors

Institutions

Publication Details

Journal
Solar System Research
Published
2024-09-09
DOI
https://doi.org/10.1134/s0038094624700357
Citations
1
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit

Jie Wan, Ying Chu, Ke Han, E Peng et al.
1 citations
Solar System Research
Ionosphere and magnetosphere dynamics
0.33
article

Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit

Jie Wan, Ying Chu, Ke Han, E Peng, De-quan Zheng, Chenggang Jin
article en
1 citations

Abstract

The increase in energetic electron flux is a complex nonlinear phenomenon with a profound impact on satellite operations in geosynchronous orbit. Previous research, conducted both locally and internationally, has developed models relying on extensive data to predict occurrences associated with the amplification of high-energy electron fluxes. This study conducts a comprehensive examination of significant research discoveries in the field, with a specific focus on selecting prediction factors and methods for designing forecast models. The study introduces key features of solar wind parameters and their correlation with high-energy electron fluxes, emphasizing the selection of forecast factors. Additionally, it highlights the attributes of geomagnetic indices and their relationship with solar wind parameters. Linear and nonlinear models are presented, with linear models categorized as single-input and multi-input, and nonlinear models classified as single-model design and fusion-model design. The study also explores shallow and deep models as distinct methodologies in nonlinear modeling. In conclusion, this study provides an overview of current research findings and approaches while offering insights into the future development patterns in this domain for the forthcoming term.

Solar System ResearchVol. 58(5)
Harbin Institute of Technology (CN), Harbin University of Commerce (CN), Heilongjiang Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 35%
Ionosphere and magnetosphere dynamics
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research Progress in High-Energy Electron Flux Prediction Methods in Geosynchronous Orbit — Jie Wan, Ying Chu, et al. · Solar System Research (2024) | TGRS Research Map | TGRS