Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China

Deep Learning for Polarimetric Radar Quantitative Precipitation Estimation during Landfalling Typhoons in South China

Heavy rain associated with landfalling typhoons often leads to disasters in South China, which can be reduced by improving the accuracy of radar quantitative precipitation estimation (QPE). At present, raindrop size distribution (DSD)-based nonlinear fitting (QPE<sub>DSD</sub>) and tradi...

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Bibliographic Details
Main Authors: Yonghua Zhang, Shuoben Bi, Liping Liu, Haonan Chen, Yi Zhang, Ping Shen, Fan Yang, Yaqiang Wang, Yang Zhang, Shun Yao
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
polarimetric radar
quantitative precipitation estimation
deep learning
convolutional neural network
landfalling typhoons
Online Access:https://www.mdpi.com/2072-4292/13/16/3157

Internet

https://www.mdpi.com/2072-4292/13/16/3157

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