Regional Ionospheric Parameter Estimation by Assimilating the LSTM Trained Results Into the SAMI2 Model

Regional Ionospheric Parameter Estimation by Assimilating the LSTM Trained Results Into the SAMI2 Model

Abstract This paper presents a study on the possibility of predicting the regional ionosphere at midlatitude by assimilating the predicted ionospheric parameters from a neural network (NN) model into the Sami2 is Another Model of the Ionosphere (SAMI2). The NN model was constructed from the data set...

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Bibliographic Details
Main Authors: Jeong‐Heon Kim, Young‐Sil Kwak, Yong Ha Kim, Su‐In Moon, Se‐Heon Jeong, Jong Yeon Yun
Format: Article
Language:English
Published: Wiley 2020-10-01
Series:Space Weather
Subjects:
ionosphere
forecast model
SAMI2 model
LSTM algorithm
assimilation technique
Online Access:https://doi.org/10.1029/2020SW002590

Internet

https://doi.org/10.1029/2020SW002590

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