The undisputed strength of wide-area surveys is their ability to detect emissions systematically and at lower cost per site than traditional on-site LDAR methods. However, these short-duration estimates must be extrapolated to longer, typically annual, inventory periods. In addition to basic issues inherent to any scaling process, extrapolating these estimates exhibits several structural problems driven by the snapshot methods 100 themselves. These methods: (1) produce single estimates with high uncertainty ; provide poor estimates for transient short-duration emitters; (3) typically have high and variable detection thresholds that require other estimates for smaller emitters, with unknown overlap/double counting; and, typically operate during working hours when most maintenance occurs, resulting in an over-representation of maintenance emissions . To date, the prevailing trend within the scientific community to improve 105 annual emissions estimates is to increase the number of site surveys. While a large increase in surveys would reduce some of the uncertainties listed above, it is impracticable to measure all sites at all times, and even a high-frequency strategy would not correct several of the issues mentioned earlier.