Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model

Zenith tropospheric delay (ZTD) is a significant atmospheric error that impacts the Global Navigation Satellite System (GNSS). Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of predicted ZTD, which is essential for improving GNS...

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Bibliographic Details
Main Authors:	Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Atmosphere
Subjects:	zenith tropospheric delay zenith tropospheric delay forecasting neural network informer LSTM combined model
Online Access:	https://www.mdpi.com/2073-4433/16/1/31
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model

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