Evaluation and interpretation of convolutional long short-term memory networks for regional hydrological modelling

• Published in: Hydrology and Earth System Sciences
• Main Authors: S. Anderson, V. Radić
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2022
• Subjects: Technology; T; Environmental technology. Sanitary engineering; TD1-1066; Geography. Anthropology. Recreation; G; Environmental sciences; GE1-350; Canada; Nash; Sutcliffe; glacier*
• Online Access: https://doi.org/10.5194/hess-26-795-2022; https://doaj.org/article/604a66feea3845f5bd8820a2b4aac148

Deep learning has emerged as a useful tool across geoscience disciplines; however, there remain outstanding questions regarding the suitability of unexplored model architectures and how to interpret model learning for regional-scale hydrological modelling. Here we use a convolutional long short-term...