Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period

Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period

Abstract In our previous study (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), we developed a long short‐term memory (LSTM) deep‐learning model for geomagnetic quiet days (LSTM‐quiet) to perform effective long‐term predictions for the regional ionosphere. However, their model could not pr...

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Bibliographic Details
Main Authors: Jeong‐Heon Kim, Young‐Sil Kwak, YongHa Kim, Su‐In Moon, Se‐Heon Jeong, JongYeon Yun
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Space Weather
Subjects:
ionosphere
prediction model
LSTM deep‐learning algorithm
geomagnetic storm period
Online Access:https://doi.org/10.1029/2021SW002741
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https://doi.org/10.1029/2021SW002741

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