We evaluate the accuracy of the Gaussian puff model using concentration observations from a point-in-space CMS sensor network at the Methane Emissions Technology Evaluation Center (METEC) in Fort Collins, Colorado, during the Advancing Development of Emissions Detection 2022 (ADED) research program . The layout of the METEC site and the configuration of the ADED experiment are shown in Fig. . METEC is a testing center that emulates an oil and gas production site and performs controlled methane releases from multiple pieces of equipment. The data used in this work were collected from 01 February to 16 May 2022 by Project Canary CMS sensors (). There are five main equipment groups on the METEC site from which controlled releases can originate: West Wellhead, West Separator, Tanks, East Separator, and East Wellhead. Eight sensors were deployed around the perimeter of the METEC site, three of which (E, NW, and SW) were equipped with an anemometer that records wind speed and wind direction. Methane concentration, wind speed, and wind direction measurements are taken every second then averaged and reported every minute. There were a total of 343 emission events during the ADED research program varying from 17 minutes to 8.25 hours in duration. The source location, emission rate, and the start and end time of each emission event are known, making it possible to compare concentration profiles simulated using the Gaussian plume and puff models to the CMS observations. Note that emission timing, location, and rate are typically not known in methane mitigation applications on real oil and gas sites, but we purposefully use controlled testing data here to assess the performance of the Gaussian plume and Gaussian puff models by comparing their simulations to the CMS observations. Because both models assume a constant wind field over space, we take the minuteby-minute median of the wind data recorded by the three anemometers to generate a time series for wind speed and direction for the entire site. Note that neither the Gaussian plume nor puff models account for the background methane concentrations that are always present in the atmosphere (and hence in the CMS observations). To address this point, we subtract the minimum concentration value from each sensor from all other concentration observations recorded by that sensor. Note that more nuanced methods for background correction exist but are not addressed in this paper.