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Improving large-basin river routing using a differentiable Muskingum-Cunge model and...
Tadd Bindas, Wen-Ping Tsai, Jiangtao Liu, et al.
Revealing causal controls of storage-streamflow relationships with a data-centric Bay...
Wen-Ping Tsai, Kuai Fang, Xinye Ji, et al.
Improving large-basin streamflow simulation using a modular, differentiable, learnabl...
Tadd Bindas, Wen-Ping Tsai, Jiangtao Liu, et al.
Transferring hydrologic data across continents -- leveraging US data to improve hydro...
Kai Ma, Dapeng Feng, Kathryn Lawson, et al.
Evaluating the potential and challenges of an uncertainty quantification method for l...
Kuai Fang, Daniel Kifer, Kathryn Lawson, et al.
Developing and Testing a Long Short-Term Memory Stream Temperature Model in Daily and...
Farshid Rahmani, Samantha Oliver, Wenyu Ouyang, et al.
Process learning of stream temperature modelling using deep learning and big data
Farshid Rahmani, Kathryn Lawson, Alison Appling, et al.
From hydrometeorology to water quality: can a deep learning model learn the dynamics...
Wei Zhi, Dapeng Feng, Wen-Ping Tsai, et al.
Spatial and temporal variations of evapotranspiration, groundwater and precipitation...
Juan Zhang, Jie Niu, Chaopeng Shen, et al.