Calibration methods overview
Michael Schirmer
calibration_methods_overview.RmdThe first column represents the cal_fn input string used
in many functions.
| Calibration option | Description | Reference | Package |
|---|---|---|---|
| Calibration_Michel | Combination of a grid search with prior knowledge of parameter combination and a steepest descent local search | Calibration_Michel | airGR |
| steepest_descent | Variant of Calibration_Michel with a monte carlo sampling with 100 trials instead of a grid search | openQUARREL | |
| montecarlo__random__1000 | Monte carlo sampling with X trials (X is a variable, here 1000) | runif | stats |
| montecarlo__lhs__1000 | Monte carlo sampling using a latin hyper cube | randomLHS | lhs |
| montecarlo__sobol__1000 | Monte carlo sampling using sobol sampling | sobol | randtoolbox |
| nlminb | Optimization using PORT routines | nlminb | stats |
| optim | General-purpose Optimization | optim | stats |
| nlminb__random__100 | Optimization using PORT routines starting with Monte carlo resampling | nlminb | stats |
| optim__random__100 | General-purpose Optimization starting with Monte carlo resampling | optim | stats |
| DEoptim | Evolutionary global optimization via the Differential Evolution algorithm | DEoptim | DEoptim |
| hydroPSO | Enhanced Particle Swarm Optimisation | hydroPSO | hydroPSO |
| malschains | Optimization with the MA-LS-Chains algorithm | malschains | Rmalschains |