SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Quantifying model uncertainty using Bayesian multi-model ensembles 
Authors:Wagena M.B., G. Bhatt, E. Buell, A.R. Sommerlot, D.R. Fuka and Z.M. Easton 
Year:2019 
Journal:Environmental Modelling & Software 
Volume (Issue):117 
Pages:89-99 
Article ID: 
DOI:10.1016/j.envsoft.2019.03.013 
URL (non-DOI journals): 
Model:SWAT-VSA & SWAT 
Broad Application Category:hydrologic and pollutant 
Primary Application Category:model and/or data comparison 
Secondary Application Category:pollutant cycling/loss and transport 
Watershed Description:71,000 km^2 Susquehanna River, which drains portions of southern New York, central Pennsylvania and northeast Maryland to the Chesapeake Bay, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:SWAT-VSA, SWAT-Standard, Chesapeake bay watershed model, Bayesian model ensemble, Multilevel models