A Novel Modeling Strategy of Weighted Mean Temperature in China Using RNN and LSTM

A Novel Modeling Strategy of Weighted Mean Temperature in China Using RNN and LSTM

In the meteorology of Global Navigation Satellite System, the weighted mean temperature (Tm) is a key parameter in the process of converting the zenith wetness delay into precipitable water vapor, and it plays an important role in water vapor monitoring. In this research, two deep learning algorithm...

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Bibliographic Details
Main Authors: Wenliang Gao, Jingxiang Gao, Liu Yang, Mingjun Wang, Wenhao Yao
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
weighted mean temperature
deep learning
recurrent neural network (RNN)
long short-term memory neural network (LSTM)
Online Access:https://www.mdpi.com/2072-4292/13/15/3004

Internet

https://www.mdpi.com/2072-4292/13/15/3004

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