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 |