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_DSD) and tradi...

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Bibliographic Details

Published in:	Remote Sensing
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
Subjects:	polarimetric radar quantitative precipitation estimation deep learning convolutional neural network landfalling typhoons
Online Access:	https://www.mdpi.com/2072-4292/13/16/3157