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September 26, 2024
High-resolution national-scale water modeling is enhanced by multiscale differentiabl...
Yalan Song, Tadd Bindas, Chaopeng Shen, et al.
May 25, 2023
Improving large-basin river routing using a differentiable Muskingum-Cunge model and...
Tadd Bindas, Wen-Ping Tsai, Jiangtao Liu, et al.
October 10, 2024
The value of terrain pattern, high-resolution data and ensemble modeling for landslid...
Jiangtao Liu, Chaopeng Shen, Te Pei, et al.
November 07, 2024
Inferring plant acclimation and improving model generalizability with differentiable...
Doaa Aboelyazeed, Chonggang xu, Lianhong Gu, et al.
February 23, 2022
Constructing a Large-scale Landslide Database Across Heterogeneous Environments Using...
savinay nagendra , srikanth banagere manjunatha , daniel kifer , et al.
October 14, 2023
Global Daily Discharge Estimation Based on Grid-Scale Long Short-Term Memory (LSTM) M...
Yuan Yang, Dapeng Feng, Hylke E. Beck, et al.
July 12, 2020
Revealing causal controls of storage-streamflow relationships with a data-centric Bay...
Wen-Ping Tsai, Kuai Fang, Xinye Ji, et al.
September 29, 2022
Improving large-basin streamflow simulation using a modular, differentiable, learnabl...
Tadd Bindas, Wen-Ping Tsai, Jiangtao Liu, et al.
August 31, 2020
Transferring hydrologic data across continents -- leveraging US data to improve hydro...
Kai Ma, Dapeng Feng, Kathryn Lawson, et al.
June 10, 2020
Evaluating the potential and challenges of an uncertainty quantification method for l...
Kuai Fang, Daniel Kifer, Kathryn Lawson, et al.
December 01, 2020
Developing and Testing a Long Short-Term Memory Stream Temperature Model in Daily and...
Farshid Rahmani, Samantha Oliver, Wenyu Ouyang, et al.
December 16, 2021
Process learning of stream temperature modelling using deep learning and big data
Farshid Rahmani, Kathryn Lawson, Alison Appling, et al.