| Title: | A parallel computing-based and spatially stepwise strategy for constraining a semi-distributed hydrological model with streamflow observations and satellite-based evapotranspiration |
| Authors: | Zhang, L., Y. Zhao, Q. Ma, P. Wang, Y. Ge and W. Yu |
| Year: | 2021 |
| Journal: | Journal of Hydrology |
| Volume (Issue): | 599 |
| Pages: | |
| Article ID: | 126359 |
| DOI: | 10.1016/j.jhydrol.2021.126359 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | computational approaches |
| Primary Application Category: | computational efficiency |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 10,000 km^2 upstream area of the Heihe River, located in northwest China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Model calibration, Remote sensing, Computational efficiency, SWAT, Satellite-based ET, Heihe River basin |