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...
Main Authors: | , , , , , , , , , , , , |
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Format: | Journal article |
Language: | English |
Published: |
Royal Society
2024
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