SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A model-independent Particle Swarm Optimisation software for model calibration 
Authors:Zambrano-Bigiarini, M. and Rojas, R. 
Journal:Environmental Modelling & Software 
Article ID: 
URL (non-DOI journals): 
Broad Application Category:hydrologic only 
Primary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Secondary Application Category:computational efficiency 
Watershed Description:The implementation of hydroPSO was focused on the 808 km2 Upper Ega, a tributary of the 1,445 km^2 Ega River (which is a tributary of the larger Ebro River) and located in the province of Navarra in northern Spain (elevations in the region range from 300 up to 1400 m above sea level (a.s.l.).; the mean annual precipitation is about 818 mm year^−1 in the Upper Ega region, and a mean daily discharge equal to 12.5 m^3 s^−1 was measured at Ega en Estella for the period 1961–1990.) 
Calibration Summary:The calibration of daily flows shows relatively low values for the mean absolute error (MAE = 4.7 m^3 s^−1), root mean square error (RMSE = 8.7 m^3 s^−1), and percentage bias (PBIAS = −2.6%) together with relatively high values for the model performance (NSE = 0.78), index of agreement (d = 0.93), and correlation coefficient (r = 0.88) indicate that the simulated discharges are acceptable for this case study. 
Validation Summary: 
General Comments:-) Novel multi-OS and model-independent R package for model calibration. -) State-of-the-art PSO-based calibration engine and fine-tuning options. -) Minimum user-intervention to interface the calibration engine and external models. -) Flexible tool to handle computational issues commonly faced by the modelling community. -) Efficient, effective, and functional tool benchmarked against standard algorithms. 
Keywords:Global optimisation; Evolutionary algorithm; Surface water modelling; Groundwater modelling; SWAT-2005; MODFLOW-2005; R