The DLQ algorithm provides a distribution of possible emission rates for each 30-minute quantification interval as a measure of uncertainty. This allows us to quantify uncertainty in the inventories based on these estimates by using a Monte Carlo framework. Specifically, for each iteration of the Monte Carlo framework, we take one sample from the distribution of possible emission rates for each 30-minute interval, sum the resulting samples, and scale the sum to a 30-day inventory. This provides one possible inventory value for the site.