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