Data from this study indicate that ight timing preferentially identies maintenance emission sources, as indicated by both plume-event matching and weekday-weekend analysis. Given the number of facilities and maintenance events, these detections are also more prevalent on production facilities; between 7.1% [3.5% to 11%] and 48% [35% to 62%] of emissions attributed to production were likely due to detecting known pre-production sources or episodic maintenance events. Since these emitters are typically short duration and highly variable, the estimated size of each emitter will be highly uncertain, and scaling to basin estimates would need to account for both this uncertainty and emission durations substantially below 24 hours per day. Neither of these issues is currently included in recent studies when scaling aerial emissions to basin scale. Insucient data was available to assess the net impact of this issue, which is impacted by fraction of maintenance events seen, the accuracy of plume estimates for highly variable and transient events, and the duration of known emission events.