| Title: | Using a parallelized MCMC algorithm in R to identify appropriate likelihood functions for SWAT |
| Authors: | Joseph, J.F. and J.H.A. Guillaume |
| Year: | 2013 |
| Journal: | Environmental Modelling & Software |
| Volume (Issue): | 46 |
| Pages: | 292–298 |
| Article ID: | |
| DOI: | 10.1016/j.envsoft.2013.03.012 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | computational approaches |
| Primary Application Category: | computational efficiency |
| Secondary Application Category: | none |
| Watershed Description: | Little River Experimental Subbasin I, located in Georgia, U.S. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Likelihood function, Bayesian MCMC analysis, Parallel processing, SWAT, R, Uncertainty analysis, Parameter |