Challenges and opportunities of ML and explainable AI in large-sample hydrology

Machine learning (ML) is a powerful tool for hydrological modelling, prediction, dataset generation, model interpretation, and process discovery. As such, ML has become integral to the field of large-sample hydrology, where hundreds to thousands of river catchments are included within a single ML mo...

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Bibliographic Details
Main Authors: Slater, L, Blougouras, G, Deng, L, Deng, Q, Ford, E, Hoek van Dijke, A, Huang, F, Jiang, S, Liu, Y, Moulds, S, Schepen, A, Yin, J, Zhang, B
Format: Journal article
Language:English
Published: Royal Society 2024