A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

A Hybrid Deep Learning Algorithm for Tropospheric Zenith Wet Delay Modeling with the Spatiotemporal Variation Considered

The tropospheric Zenith Wet Delay (ZWD) is one of the primary sources of error in Global Navigation Satellite Systems (GNSS). Precise ZWD modeling is essential for GNSS positioning and Precipitable Water Vapor (PWV) retrieval. However, the ZWD modeling is challenged due to the high spatiotemporal va...

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Bibliographic Details
Main Authors: Yin Wu, Lu Huang, Wei Feng, Su Tian
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Atmosphere
Subjects:
zenith wet delay (ZWD)
convolutional neural network (CNN)
long short-term memory (LSTM)
deep learning
spatiotemporal characteristics
Online Access:https://www.mdpi.com/2073-4433/15/1/121

Internet

https://www.mdpi.com/2073-4433/15/1/121

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