Fusing Precipitable Water Vapor Data in CHINA at Different Timescales Using an Artificial Neural Network

Fusing Precipitable Water Vapor Data in CHINA at Different Timescales Using an Artificial Neural Network

Global climate change has noticeable influences on the water vapor redistribution in China, which is embodied by the fact that both wetting and drying tendencies were observed across China. This poses the necessity to monitor and understand the water vapor evolution in China. However, observations o...

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Bibliographic Details
Main Authors: Zhaohui Xiong, Bao Zhang, Jizhang Sang, Xiaogong Sun, Xiaoming Wei
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
precipitable water vapor
data fusion
generalized regression neural network
Online Access:https://www.mdpi.com/2072-4292/13/9/1720

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