| Title: | Evaluating the role of evapotranspiration remote sensing data in improving hydrological modeling predictability |
| Authors: | Herman, M.R., A.P. Nejadhashemi, M. Abouali, J.S. Hernandez-Suarez, F. Daneshvar, Z. Zhang, M.C. Anderson, A.M. Sadeghi, C.R. Hain and A. Sharifi |
| Year: | 2018 |
| Journal: | Journal of Hydrology |
| Volume (Issue): | 556 |
| Pages: | 39-49 |
| Article ID: | |
| DOI: | 10.1016/j.jhydrol.2017.11.009 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | evapotranspiration assessment |
| Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Watershed Description: | 1,100 km^2 Honeyoey Creek-Pine Creek, a tributary of the Saginaw River located in the central part of the lower peninsula of Michigan, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Evapotranspiration; Streamflow; Monte Carlo simulation; NSGA-II; SSEBop; ALEXI |