Modeling Equatorial to Mid‐Latitudinal Global Night Time Ionospheric Plasma Irregularities Using Machine Learning
Abstract This study focuses on modeling the characteristics of nighttime topside Ionospheric Plasma Irregularities (PI) on a global scale. We utilize Random Forest (RF) and a one‐dimensional Convolutional Neural Network (1D‐CNN) model, incorporating data from the Swarm A, B, and C satellites, space...
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Main Authors: | Ephrem Beshir Seba, Giovanni Lapenta |
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Format: | Article |
Language: | English |
Published: |
Wiley
2024-03-01
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Series: | Space Weather |
Online Access: | https://doi.org/10.1029/2023SW003754 |
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