SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Disentangling the contributions of climate and basin characteristics to water yield across spatial and temporal scales in the Yangtze River Basin: A combined hydrological model and boosted regression approach 
Authors:Sun, F., A. Mejia and Y. Che 
Year:2019 
Journal:Water Resources Management 
Volume (Issue):33 
Pages:3449-3468 
Article ID: 
DOI:10.1007/s11269-019-02310-y 
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:1.8 million km^2 Yangtze River, which drains much of central and southern China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Boosted regression tree (BRT); Soil and water assessment tool (SWAT); Spatial and temporal scales; Water yield; Yangtze River Basin