Utilizing Earth Observations of Soil Freeze/Thaw Data and Atmospheric Concentrations to Estimate Cold Season Methane Emissions in the Northern High Latitudes

The northern wetland methane emission estimates have large uncertainties. Inversion models are a qualified method to estimate the fluxes and emissions in latitudes but when atmospheric observations sparse, only as good their priori estimates. Thus, improving is competent way reduce uncertainties enhance sparsely sampled regions. Here, we use novel integrate remote sensing soil freeze/thaw (F/T) status from SMOS satellite better capture seasonality of high latitude. F/T data provide daily information freezing state latitudes, this study, used define cold season and, thus, improve our knowledge seasonal cycle biospheric fluxes. implemented LPX-Bern DYPTOP model modified inversion CarbonTracker Europe-CH4. implementation shown be beneficial model’s flux Our results show that CH4 approximately 0.60 Tg lower than previously estimated, which corresponds 17% reduction emissions. This partly compensated by increased anthropogenic same area (0.23 Tg), also indicates could even larger contribution estimated here.