Untangling hybrid hydrological models with explainable artificial intelligence
Hydrological models are valuable tools for developing streamflow predictions in unmonitored catchments to increase our understanding of hydrological processes. A recent effort has been made in the development of hybrid (conceptual/machine learning) models that can preserve some of the hydrological p...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2021-01-01
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| Series: | H2Open Journal |
| Subjects: | |
| Online Access: | http://doi.org/10.2166/h2oj.2021.066 |