| Title: | Hybrid modelling approach to prairie hydrology: Fusing data-driven and process-based hydrological models |
| Authors: | Mekonnen, B.A., A. Nazemi, K.A. Mazurek, A. Elshorbagy and G. Putz |
| Year: | 2015 |
| Journal: | Hydrological Sciences Journal |
| Volume (Issue): | 60(9) |
| Pages: | 1473-1489 |
| Article ID: | |
| DOI: | 10.1080/02626667.2014.935778 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data interface |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 9,360 km^2 Moose Jaw River, located in south central Saskatoon, Canada |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | prairie hydrology; unconventional runoff generation; hybrid modelling; Soil and Water Assessment Tool (SWAT); Artificial Neural Networks (ANNs) |