| Title: | Propagation of parameter uncertainty in SWAT: A probabilistic forecasting method based on polynomial chaos expansion and machine learning |
| Authors: | Ghaith, M. and Z. Li |
| Year: | 2020 |
| Journal: | Journal of Hydrology |
| Volume (Issue): | 586 |
| Pages: | |
| Article ID: | 124854 |
| DOI: | 10.1016/j.jhydrol.2020.124854 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | uncertainty analysis |
| Secondary Application Category: | computational efficiency |
| Watershed Description: | 3,500 km^2 Spring Branch, a tributary of the Guadalupe River located in southeast Texas, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Daily streamflow simulation, Data-driven modeling, Polynomial chaos expansion (PCE), Soil and water assessment tool (SWAT), Uncertainty analysis, Probabilistic forecasting |