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Storm-Time Relative Total Electron Content Modelling Using Machine Learning Techniques

Accurately predicting total electron content (TEC) during geomagnetic storms is still a challenging task for ionospheric models. In this work, a neural-network (NN)-based model is proposed which predicts relative TEC with respect to the preceding 27-day median TEC, during storm time for the European...

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Principais autores: Marjolijn Adolfs, Mohammed Mainul Hoque, Yuri Y. Shprits
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-12-01
Serier:Remote Sensing
Fag:
ionosphere
relative total electron content
geomagnetic storms
neural networks
NTCM
European storm-time model
Online adgang:https://www.mdpi.com/2072-4292/14/23/6155
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