SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Adaptability of machine learning methods and hydrological models to discharge simulations in datasparse glaciated watersheds 
Authors:Ji, H., Y. Chen, G. Fang, Z. Li, W. Duan and Q. Zhang 
Year:2021 
Journal:Journal of Arid Land 
Volume (Issue):13(6) 
Pages:549–567 
Article ID: 
DOI:10.1007/s40333-021-0066-5 
URL (non-DOI journals): 
Model:SWAT_Glacier & SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:model comparison 
Secondary Application Category:snowmelt, frozen soil and/or glacier melt processes 
Watershed Description:63,000 km^2 Aksu River, which is a tributary of the Tarim River, and 12,900 km^2 Kumaric River; both are located in northwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:hydrological simulation; long short-term memory; extreme gradient boosting; support vector regression; SWAT_Glacier model; Tianshan Mountains