| Title: | Sequence-based statistical downscaling and its application to hydrologic simulations based on machine learning and big data |
| Authors: | Wang, Q., J. Huang, R. Liu, C. Men, L. Guo, Y. Miao, L. Jiao, Y. Wang, M. Shoaib and X. Xia |
| Year: | 2020 |
| Journal: | Journal of Hydrology |
| Volume (Issue): | 586 |
| Pages: | |
| Article ID: | 124875 |
| DOI: | 10.1016/j.jhydrol.2020.124875 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate data effects |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | Weihe River, a tributary of the Yellow River located in central China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Climate change; Statistical downscaling; Recurrent neural network; Hydrological response; SWAT model |