Published June 29, 2023
| Version v1
Dataset
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Closing in on Hydrologic Predictive Accuracy: Combining the Strengths of High-Fidelity and Physics-Agnostic Models
Authors/Creators
- 1. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109, USA
- 2. Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA
- 3. School of Civil and Environmental Engineering, University of Ulsan, South Korea
Description
The zip file contains a synthetic dataset that was used to construct the surrogate model.