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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
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 t...
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Qiqi Yang, Qiang Dai, Dawei Han, Xuehong Zhu and Shuliang Zhang
Designed for rainstorms and flooding, hydrosystems are largely based on local rainfall Intensity?Duration?Frequency (IDF) curves which include nonstationary components accounting for climate variability. IDF curves are commonly calculated using downscali...
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