Uncertainty estimation with deep learning for rainfall–runoff modeling
<p>Deep learning is becoming an increasingly important way to produce accurate hydrological predictions across a wide range of spatial and temporal scales. Uncertainty estimations are critical for actionable hydrological prediction, and while standardized community benchmarks are becoming an i...
| Published in: | Hydrology and Earth System Sciences |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-03-01
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| Online Access: | https://hess.copernicus.org/articles/26/1673/2022/hess-26-1673-2022.pdf |