Completion of Global Ionospheric TEC Maps Using a Deep Learning Approach

Total electron content (TEC) is an important parameter that describes the features of the ionosphere. The International GNSS Service (IGS) has been providing IGS Global TEC maps using analysis algorithms. However, collecting the completed data is difficult because of the lack of ground receivers, an...

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Veröffentlicht in:	Journal of geophysical research. Space physics Jg. 127; H. 5
Hauptverfasser:	Yang, Ding, Fang, Hanxian, Liu, Zhendi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Washington Blackwell Publishing Ltd 01.05.2022
Schlagworte:	Algorithms Correlation coefficient Correlation coefficients Deep learning Discriminators Generative adversarial networks Ionosphere Ionospheric models Machine learning Missing data Modelling Solar activity Teaching methods Total Electron Content
ISSN:	2169-9380, 2169-9402
Online-Zugang:	Volltext
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