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 traditional neura...

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Detalhes bibliográficos

Principais autores:	Yonghua Zhang, Shuoben Bi, Liping Liu, Haonan Chen, Yi Zhang, Ping Shen, Fan Yang, Yaqiang Wang, Yang Zhang, Shun Yao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2021-08-01
Colecção:	Remote Sensing
Assuntos:	polarimetric radar quantitative precipitation estimation deep learning convolutional neural network landfalling typhoons
Acesso em linha:	https://www.mdpi.com/2072-4292/13/16/3157
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