Long-term prediction of Poyang Lake water level by combining multi-scale isometric convolution network with quantile regression
Study region: The Poyang Lake basin, China Study focus: Deep learning (DL) models have been widely applied to lake water level (WL) forecasts at short lead times. However, long-term prediction remains a significant challenge. This study introduces a novel multi-scale isometric convolution network (M...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825001909 |
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