|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 |