Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics
Abstract
This code is released by Dr. Yuan-Heng Wang (yhwang0730@gmail.com) under the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) license for the manuscript submitted below. Wang, Y.H., Yang, Y., Ciulla, F., Gupta, H.V. and Varadharajan, C., 2026. Towards CONUS-Wide ML-Augmented Conceptually-Interpretable Modeling of Catchment-Scale Precipitation-Storage-Runoff Dynamics. arXiv preprint arXiv:2510.02605. (Under Review in Water Resources Research)
Fields of Study & Subjects
Hydrology and Watershed Management Studies
Hydrological Forecasting Using AI
Flood Risk Assessment and Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 13 June 2026
- Document type
- Preprint