Table 1.

The Bayes formula in a calibration context.

Term	Bayesian context	Calibration context
p(θ)	Prior distribution of the model input parameters θ	Pre-calibrated model input parameters
p(θ|data)	Posterior distribution of the model parameters θ given observed data	Calibrated model parameters to target data
l(θ|data)	Probability of the data given model parameters θ (model likelihood)	Objective function or goodness-of-fit measure; how well the model output fits the target data given a particular value of θ