SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Evaluation of uncertainties in input data and parameters of a hydrological model using a bayesian framework: A case study of a snowmelt–precipitation-driven watershed 
Authors:Zhang, J.L., Y.P. Li, G.H. Huang, C.X. Wang and G. H. Cheng 
Year:2016 
Journal:Journal of Hydrometeorology 
Volume (Issue):17(8) 
Pages:2333–2350 
Article ID: 
DOI:10.1175/JHM-D-15-0236.1 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:snowmelt, frozen soil and/or glacier melt processes 
Watershed Description:18,827 km^2 Kaidu River, located in the Xinjiang Uygur Autonomous Region in northwest China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Models and modeling; Model errors; Model evaluation/performance; Parameterization