Storm‐Time Modeling of the African Regional Ionospheric Total Electron Content Using Artificial Neural Networks

Storm‐Time Modeling of the African Regional Ionospheric Total Electron Content Using Artificial Neural Networks

Abstract This paper presents the development of a storm‐time total electron content (TEC) model over the African sector for the first time. The storm criterion used was |Dst| ≥ 50 nT and Kp ≥ 4. We have utilized Global Positioning System (GPS) observations from 2000 to 2018 from about 252 receivers...

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Bibliographic Details
Main Authors: Daniel Okoh, John Bosco Habarulema, Babatunde Rabiu, Gopi Seemala, Joshua Benjamin Wisdom, Joseph Olwendo, Olivier Obrou, Tshimangadzo Merline Matamba
Format: Article
Language:English
Published: Wiley 2020-09-01
Series:Space Weather
Subjects:
Africa
geomagnetic storm
ionosphere
neural network
TEC
Online Access:https://doi.org/10.1029/2020SW002525
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https://doi.org/10.1029/2020SW002525

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