| Title: | A parallelization framework for calibration of hydrological models |
| Authors: | Rouholahnejad, E., K.C. Abbaspour, M. Vejdani, R. Srinivasan, R. Schulin and A. Lehman |
| Year: | 2012 |
| Journal: | Environmental Modelling & Software |
| Volume (Issue): | 31 |
| Pages: | 28-36 |
| Article ID: | |
| DOI: | 10.1016/j.envsoft.2011.12.001 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | computational approaches |
| Primary Application Category: | computational efficiency |
| Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Watershed Description: | 801,093 km^2 Danube River in eastern Europe, 661,185 km^2 Alberta region in south central Canada, and a small hypothetical watershed |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | This study was focused on improving SWAT execution time for representative calibration simulations. Thus the results are related to computational efficiency, CPU usage, etc. rather than actual calibration outcomes. |
| Language: | English |
| Keywords: | Parallel processing, SWAT-CUP, SUFI2, Hydrologic models |