Forecast of Ionospheric TEC Maps Using ConvGRU Deep Learning Over China

Forecast of Ionospheric TEC Maps Using ConvGRU Deep Learning Over China

In this article, we propose a convolutional gated recurrent unit (ConvGRU) deep learning method to forecast ionospheric total electron content (TEC) over China based on the regional ionospheric maps (RIMs) from 2015 to 2018. First, we use Global Navigation Satellite System observations from the Crus...

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Bibliographic Details
Main Authors: Jun Tang, Zhengyu Zhong, Mingfei Ding, Dengpan Yang, Heng Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional gated recurrent unit (ConvGRU)
deep learning
forecast
ionosphere
total electron content (TEC)
Online Access:https://ieeexplore.ieee.org/document/10379809/

Internet

https://ieeexplore.ieee.org/document/10379809/

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