Machine Learning‐Based Emulator for the Physics‐Based Simulation of Auroral Current System
Abstract Using a machine learning technique called echo state network (ESN), we have developed an emulator to model the physics‐based global magnetohydrodynamic simulation results of REPPU (REProduce Plasma Universe) code. The inputs are the solar wind time series with date and time, and the outputs...
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Main Authors: | Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-01-01
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Series: | Space Weather |
Subjects: | |
Online Access: | https://doi.org/10.1029/2023SW003720 |
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