Create information mask. We next identify the periods during which we expect the wind to blow emitted methane toward the sensors (the CMS detect times, or periods of "information") and between the sensors (the CMS non-detect times, or periods of "no information"). We do so for each naive event by first simulating methane concentrations at the CMS sensor locations assuming the estimated source and rate for that naive event. We do this using the Gaussian puff atmospheric dispersion model and the actual wind data collected on the site. Similar to the procedure for identifying naive events, we then take the minute-by-minute maximum of the simulated concentrations across all sensors on the site and apply the spike detection algorithm from Daniels et al. to this maximum value time series. Clusters of identified spikes in the simulated concentrations are taken to be periods of information, as these are the times during which a simulated emission event created concentration enhancements at the sensor locations.