WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting
<p>This study proposes a comprehensive benchmark dataset for streamflow forecasting, WaterBench-Iowa, that follows FAIR (findability, accessibility, interoperability, and reuse) data principles and is prepared with a focus on convenience for utilizing in data-driven and machine learning studie...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-12-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/5605/2022/essd-14-5605-2022.pdf |