The impact of contextual parameter uncertainty on the calculated costs and emissions was evaluated by calculating the Spearman's rank order correlation coefficients as a measure of the results' sensitivity to individual parameters. Sensitivity refers to the degree to which an output rank (i.e., costs and CI) correlates with a single input parameter rank. The input and output distributions, from simulations with uncertainty applied to contextual parameters and constant values applied to non-contextual parameters, were used to calculate the correlation coefficients for each parameter within a system scenario and country combination. As a result, 77 correlation coefficients were calculated for each contextual parameter within a system scenario. Overall, the correlation coefficients can enable decision-makers to understand how input uncertainty is driving output uncertainty and to make inferences about system performance using local knowledge regarding contextual parameters.