Uncertainty and driving factor analysis of streamflow forecasting for closed-basin and interval-basin: Based on a probabilistic and interpretable deep learning model
Study region: closed- and interval-basin in the Yangtze River basin, China. Study focus: Accurate streamflow forecasting and understanding its drivers are essential in hydrology, with deep learning (DL) technologies being increasingly employed. However, challenges persist, including hyperparameter o...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825003088 |
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