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...
Main Authors: | Ryozo Kitajima, Motoharu Nowada, Ryotaro Kamimura |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2022-09-01
|
Series: | Earth, Planets and Space |
Subjects: | |
Online Access: | https://doi.org/10.1186/s40623-022-01697-0 |
Similar Items
-
A New Index to Describe the Response of Geomagnetic Disturbance to the Energy Injection from the Solar Wind
by: Ming-Xian Zhao, et al.
Published: (2022-09-01) -
Statistical Properties of Geomagnetic Activity Indices and Solar Wind Parameters
by: Jung-Hee Kim, et al.
Published: (2014-06-01) -
Examples of fast solar wind transients, their sources and the forecast of possible geomagnetic impact
by: K.W. Ogilvie, et al.
Published: (2000-04-01) -
Peculiarities of the Heliospheric State and the Solar-Wind/Magnetosphere Coupling in the Era of Weakened Solar Activity
by: Yuri I. Yermolaev, et al.
Published: (2022-09-01) -
Noise and solar-wind/magnetosphere coupling studies: Data
by: Joseph E. Borovsky
Published: (2022-09-01)