Investigation of the relationship between geomagnetic activity and solar wind parameters based on a novel neural network (potential learning)

Investigation of the relationship between geomagnetic activity and solar wind parameters based on a novel neural network (potential learning)

Abstract Predicting geomagnetic conditions based on in-situ solar wind observations allows us to evade disasters caused by large electromagnetic disturbances originating from the Sun to save lives and protect economic activity. In this study, we aimed to examine the relationship between the K p inde...

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Bibliographic Details
Main Authors: Ryozo Kitajima, Motoharu Nowada, Ryotaro Kamimura
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:Earth, Planets and Space
Subjects:
Space weather modeling
Solar wind conditions
Geomagnetic activity
Neural network
Data classification
Online Access:https://doi.org/10.1186/s40623-022-01697-0

Internet

https://doi.org/10.1186/s40623-022-01697-0

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