Temporal Averaging Multiple Observations
Measurement noise can make it difficult to detect methane point sources from a single observation, but temporal averaging of multiple observations reduces the noise. We find that aggregating data from ten to twenty GHGSat-D overpasses reveals strong time-averaged plume signals from three coal mines. Once these plumes are detected, we use two methods to estimate the corresponding source rates: one based on the observed integrated mass enhancement (IME) and another based on the average cross-sectional flux.
IME Method: 1400
X-Flux Method: 2000
Previous: n/a
IME Method: 1150
X-Flux Method: 1500
Previous: 360-2800 (Frankenberg 2016)
IME Method: 2200
X-Flux Method: 4000
Previous: 1000-10800 (CSIRO)
*Time-averaging and source rate quantification analytics by Varon et al. (Preliminary Results)