Abstract. Wetland emissions remain one of the principal sources of uncertainty in the global atmospheric methane (CH 4 ) budget, largely due to poorly constrained process controls on CH 4 production in waterlogged soils. Process-based estimates of global wetland CH 4 emissions and their associated uncertainties can provide crucial prior information for model-based top-down CH 4 emission estimates. Here we construct a global wetland CH 4 emission model ensemble for use in atmospheric chemical transport models (WetCHARTs version 1.0). Our 0.5 • × 0.5 • resolution model ensemble is based on satellite-derived surface water extent and precipitation reanalyses, nine heterotrophic respiration simulations (eight carbon cycle models and a data-constrained terrestrial carbon cycle analysis) and three temperature dependence parameterizations for the period 2009-2010; an extended ensemble subset based solely on precipitation and the data-constrained terrestrial carbon cycle analysis is derived for the period 2001-2015. We incorporate the mean of the full and extended model ensembles into GEOS-Chem and compare the model against surface measurements of atmospheric CH 4 ; the model performance (site-level and zonal mean anomaly residuals) compares favourably against published wetland CH 4 emissions scenarios. We find that uncertainties in carbon decomposition rates and the wetland extent together account for more than 80 % of the dominant uncertainty in the timing, magnitude and seasonal variability in wetland CH 4 emissions, although uncertainty in the temperature CH 4 : C dependence is a significant contributor to seasonal variations in mid-latitude wetland CH 4 emissions. The combination of satellite, carbon cycle models and temperature dependence parameterizations provides a physically informed structural a priori uncertainty that is critical for topdown estimates of wetland CH 4 fluxes. Specifically, our ensemble can provide enhanced information on the prior CH 4 emission uncertainty and the error covariance structure, as well as a means for using posterior flux estimates and their uncertainties to quantitatively constrain the biogeochemical process controls of global wetland CH 4 emissions.