A CONUS-wide Monthly Baseflow Dataset (1982-2022) for HUC8 Basins Derived from Random Forest Modeling
Abstract
This dataset provides continuous monthly baseflow estimates for 2,185 Hydrologic Unit Code 8 (HUC8) basins across the contiguous United States (CONUS) spanning 41 years from 1982 to 2022. The data were generated using an optimized Random Forest machine learning model trained on observed baseflow measurements, incorporating 31 predictor variables including static watershed attributes (topography, soil properties), dynamic environmental variables (climate, vegetation, snow dynamics), and human activity indicators (land use proportions).
Fields of Study & Subjects
Hydrology and Watershed Management Studies
Hydrological Forecasting Using AI
Environmental Monitoring and Data Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026
- Document type
- Dataset