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Existing estimates of methane (CH4) fluxes from North American wetlands vary widelyin both magnitude and distribution. In light of these differences, thisstudy uses atmospheric CH4 observations from the US and Canada to analyzeseven different bottom-up, wetland CH4 estimates reported in a recentmodel comparison project. We first use synthetic data to explore whether wetland CH4 fluxes aredetectable at atmospheric observation sites.We find that the observation network can detect aggregate wetland fluxes from both eastern and westernCanada but generally not from the US. Based upon these results, we then use real data and inverse modelingresults to analyze the magnitude, seasonality, and spatial distribution of each model estimate. The magnitudeof Canadian fluxes in many models is larger than indicated by atmospheric observations. Many models predict aseasonality that is narrower than implied by inverse modeling results, possibly indicating an oversensitivity toair or soil temperatures. The LPJ-Bern and SDGVM models have ageographic distribution that is most consistent with atmospheric observations, depending upon the region and season.These models utilize land cover maps or dynamic modeling to estimatewetland coverage while most other models rely primarily on remote sensing inundation data

Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling