| Title: | Sensitivity and uncertainty analysis for streamflow prediction using multiple optimization algorithms and objective functions: San Joaquin Watershed, California |
| Authors: | Paul, M. and M. Negahban-Azar |
| Year: | 2018 |
| Journal: | Modeling Earth Systems and Environment |
| Volume (Issue): | 4(4) |
| Pages: | 1509-1525 |
| Article ID: | |
| DOI: | 10.1007/s40808-018-0483-4 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 15,357.7 km^2 San Joaquin River, located in central California, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Agricultural watershed; Hydrological modelling; SWAT; SWAT-CUP; Model performance criteria |