A Spatiotemporal Network Model for Global Ionospheric TEC Forecasting

A Spatiotemporal Network Model for Global Ionospheric TEC Forecasting

In the Global Navigation Satellite System, ionospheric delay is a significant source of error. The magnitude of the ionosphere total electron content (TEC) directly impacts the magnitude of the ionospheric delay. Correcting the ionospheric delay and improving the accuracy of satellite navigation pos...

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Bibliographic Details
Main Authors: Xu Lin, Hongyue Wang, Qingqing Zhang, Chaolong Yao, Changxin Chen, Lin Cheng, Zhaoxiong Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Remote Sensing
Subjects:
ionospheric modeling
total electron content
deep learning
spatiotemporal characteristics
spatiotemporal network model
Online Access:https://www.mdpi.com/2072-4292/14/7/1717

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