A Nonlinear System Science Approach to Find the Robust Solar Wind Drivers of the Multivariate Magnetosphere
Abstract We propose a method, based on Neural Networks, that detects the nonlinear robust interplanetary solar wind variables, with varying delays, driving the coupled behavior of three geomagnetic indices (Dst, AL, and AU). As opposed to minimizing a prediction error, the method is based on degradi...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-06-01
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Series: | Space Weather |
Subjects: | |
Online Access: | https://doi.org/10.1029/2020SW002634 |
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