| Title: | Improving the estimation of hydrological states in the SWAT model via the ensemble Kalman smoother: Synthetic experiments for the Heihe River Basin in northwest China |
| Authors: | Lei, F., C. Huang, H. Shen and X. Li |
| Year: | 2014 |
| Journal: | Advances in Water Resources |
| Volume (Issue): | 67 |
| Pages: | 32-45 |
| Article ID: | |
| DOI: | 10.1016/j.advwatres.2014.02.008 |
| 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: | 2,350 km^2 Babaohe River, located in the upper reaches of the Heihe River in northwest China |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Soil moisture, SWAT, Data assimilation, Heterogeneity, EnKS |