Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach

Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach

Abstract We present a machine‐learning‐based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Electron Neural net model for Relativistic electrons (ORIENT‐R) uses only solar wind conditions and geomag...

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Bibliographic Details
Main Authors: Xiangning Chu, Donglai Ma, Jacob Bortnik, W. Kent Tobiska, Alfredo Cruz, S. Dave Bouwer, Hong Zhao, Qianli Ma, Kun Zhang, Daniel N. Baker, Xinlin Li, Harlan Spence, Geoff Reeves
Format: Article
Language:English
Published: Wiley 2021-12-01
Series:Space Weather
Subjects:
machine learning
neural network
radiation belt
energetic electron fluxes
Van Allen Probes
forecast
Online Access:https://doi.org/10.1029/2021SW002808
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