Downscaling Daily Reference Evapotranspiration Using a Super-Resolution Convolutional Transposed Network

Downscaling Daily Reference Evapotranspiration Using a Super-Resolution Convolutional Transposed Network

The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with transposed convolutions. This study designed sy...

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Bibliographic Details
Main Authors: Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai, Ruichuan Nan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Water
Subjects:
evapotranspiration
super resolution
convolutional neural network
downscaling
Online Access:https://www.mdpi.com/2073-4441/16/2/335

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