Transformer-Based Global Zenith Tropospheric Delay Forecasting Model

Transformer-Based Global Zenith Tropospheric Delay Forecasting Model

Zenith tropospheric delay (ZTD) plays an important role in high-precision global navigation satellite system (GNSS) positioning and meteorology. At present, commonly used ZTD forecasting models comprise empirical, meteorological parameter, and neural network models. The empirical model can only fit...

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Bibliographic Details
Main Authors: Huan Zhang, Yibin Yao, Chaoqian Xu, Wei Xu, Junbo Shi
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Remote Sensing
Subjects:
zenith tropospheric delay
recurrent neural network
long short-term memory
transformer
zenith tropospheric delay forecasting
Online Access:https://www.mdpi.com/2072-4292/14/14/3335

Internet

https://www.mdpi.com/2072-4292/14/14/3335

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