SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models 
Authors:Wagena, M.B., D. Goering, A.S. Collick, E. Bock, D.R. Fuka, A. Buda and Z.M. Easton 
Year:2020 
Journal:Environmental Modelling & Software 
Volume (Issue):126 
Pages: 
Article ID:104669 
DOI:10.1016/j.envsoft.2020.104669 
URL (non-DOI journals): 
Model:SWAT-VSA 
Broad Application Category:hydrologic only 
Primary Application Category:model comparison 
Secondary Application Category:extreme low and/or high flows 
Watershed Description:7.38 km^2 WE-38 experimental, a tributary of Mahantango Creek located in east central Pennsylvania, U.S. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:SWAT-VSA, ANNs, ARMA, Forecasting, Stochastic model, Process-based model, Bayesian model