SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Using maximum likelihood to derive various distance-based goodness-of-fit indicators for hydrologic modeling assessment 
Authors:Cheng, Q.-B., X. Chen, C.-Y. Xu, Z.-C. Zhang, C. Reinhardt-Imjela and A. Schulte 
Year:2018 
Journal:Stochastic Environmental Research and Risk Assessment 
Volume:32 
Pages:949-966 
Article ID: 
DOI:10.1007/s00477-017-1507-8 
URL (non-DOI journals): 
Model:SWAT-WB-VSA 
Broad Application Category:hydrologic only 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:hydrologic assessment 
Watershed Description:86.7 km^2 Baocun river, located near the coast in eastern Jiaodong Peninsula in northeast China 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Box–Cox transformation; Generalized error distribution; Likelihood function; Goodness of fit; SWAT