| Title: | Disentangling the contributions of climate and basin characteristics to water yield across spatial and temporal scales in the Yangtze River Basin: A combined hydrological model and boosted regression approach |
| Authors: | Sun, F., A. Mejia and Y. Che |
| Year: | 2019 |
| Journal: | Water Resources Management |
| Volume (Issue): | 33 |
| Pages: | 3449-3468 |
| Article ID: | |
| DOI: | 10.1007/s11269-019-02310-y |
| 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: | 1.8 million km^2 Yangtze River, which drains much of central and southern China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Boosted regression tree (BRT); Soil and water assessment tool (SWAT); Spatial and temporal scales; Water yield; Yangtze River Basin |