| Title: | A probabilistic method for streamflow projection and associated uncertainty analysis in a data sparse alpine region |
| Authors: | Ren W., T. Yang, P. Shi, C.-Y. Xu, K. Zhang, X. Zhou, Q. Shao and P. Ciais |
| Year: | 2018 |
| Journal: | Global and Planetary Change |
| Volume (Issue): | 165 |
| Pages: | 100-113 |
| Article ID: | |
| DOI: | 10.1016/j.gloplacha.2018.03.011 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | climate change assessment |
| Watershed Description: | 18,827 km^2 Kaidu Tarim River, located in northeast China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Climate change; streamflow projection; Bayesian neural networks; flexible
model structures; active indicator function; Least-Square Support Vector Machine;
uncertainty estimates; data sparse alpine region |