Keywords
shuffled-complex evolution algorithm, high performance computing
Start Date
1-7-2006 12:00 AM
Abstract
Hydrological models have been increasing in complexity over the years. These models rely on theircalibration to simulate real world conditions as close as possible. Calibration is a tedious and time-consumingprocess. An auto-calibration algorithm (SCE-UA) developed by Duan et al. [1992], has been successfully used inhydrological modeling area. This is a serial algorithm and as complexity of the models to be calibrated increasesthe computational cost, also significantly increases. In this study, a parallel version of the algorithm developed isused for testing of two simple hydrological models. The results show that parallel version of the algorithm can besuccessfully used to calibrate complex hydrological models.
Auto-Calibration of Hydrological Models Using High Performance Computing
Hydrological models have been increasing in complexity over the years. These models rely on theircalibration to simulate real world conditions as close as possible. Calibration is a tedious and time-consumingprocess. An auto-calibration algorithm (SCE-UA) developed by Duan et al. [1992], has been successfully used inhydrological modeling area. This is a serial algorithm and as complexity of the models to be calibrated increasesthe computational cost, also significantly increases. In this study, a parallel version of the algorithm developed isused for testing of two simple hydrological models. The results show that parallel version of the algorithm can besuccessfully used to calibrate complex hydrological models.
