In Step (D) the two sets of statistics can be methodically compared to identify and characterize potential abnormal emissions that were not in the inventory and therefore not in the MAES simulated data. While in practice automated statistical methods could be used, Figure provides an informal visual representation of the comparison. In this example, the aerial detection's mean, and the preponderance of it's uncertainty band represent larger emission rates than any emitter simulated in MAES. It is therefore highly unlikely that the emitter captured by the aerial detection was included in the MAES simulation, and by extension, in the inventory reported for this facility.