Improvement of IRI Global TEC Maps by Deep Learning Based on Conditional Generative Adversarial Networks

Abstract In this study, we make a model, which is called DeepIRI, to generate improved International Reference Ionosphere (IRI) total electron content (TEC) maps by deep learning based on conditional Generative Adversarial Networks. For this we consider 48,901 pairs of IRI TEC maps and International...

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Bibliographic Details
Main Authors: Eun‐Young Ji, Yong‐Jae Moon, Eunsu Park
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2019SW002411
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