Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5605-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-5605-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Data description paper
 | 
20 Dec 2022
Data description paper |  | 20 Dec 2022

WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting

Ibrahim Demir, Zhongrun Xiang, Bekir Demiray, and Muhammed Sit

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Short summary
We provide a large benchmark dataset, WaterBench-Iowa, with valuable features for hydrological modeling. This dataset is designed to support cutting-edge deep learning studies for a more accurate streamflow forecast model. We also propose a modeling task for comparative model studies and provide sample models with codes and results as the benchmark for reference. This makes up for the lack of benchmarks in earth science research.
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