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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Space Weather
Subjects:
Online Access:https://doi.org/10.1029/2023SW003720
Tags: Add Tag
No Tags, Be the first to tag this record!