Abstract

Abstract. Methane emissions in Canada have both anthropogenic and natural sources. Anthropogenic emissions are estimated to be 4.1 Tg a−1 from 2010–2015 in the National Inventory Report submitted to the United Nation's Framework Convention on Climate Change (UNFCCC). Natural emissions, which are mostly due to boreal wetlands, are the largest methane source in Canada and highly uncertain, on the order of ∼ 20 Tg a−1 in biosphere process models. Aircraft studies over the last several years have provided “snapshot” emissions that conflict with inventory estimates. Here we use surface data from the Environment and Climate Change Canada (ECCC) in situ network and space-borne data from the Greenhouse Gases Observing Satellite (GOSAT) to determine 2010–2015 anthropogenic and natural methane emissions in Canada in a Bayesian inverse modelling framework. We use GEOS-Chem to simulate anthropogenic emissions comparable to the National Inventory and wetlands emissions using an ensemble of WetCHARTS v1.0 scenarios in addition to other minor natural sources. We conduct a comparative analysis of the monthly natural emissions and yearly anthropogenic emissions optimized by surface and satellite data independently. Mean 2010–2015 posterior emissions using ECCC surface data are 6.0 ± 0.4 Tg a−1 for total anthropogenic and 11.6 ± 1.2 Tg a−1 for total natural emissions. These results agree with our posterior emissions of 6.5 ± 0.7 Tg a−1 for total anthropogenic and 11.7 ± 1.2 Tg a−1 for total natural emissions using GOSAT data. The seasonal pattern of posterior natural emissions using either dataset shows slower to start emissions in the spring and a less intense peak in the summer compared to the mean of WetCHARTS scenarios. We combine ECCC and GOSAT data to characterize limitations towards sectoral and provincial-level inversions. We estimate energy + agriculture emissions to be 5.1 ± 1.0 Tg a−1, which is 59 % higher than the national inventory. We attribute 39 % higher anthropogenic emissions to Western Canada than the prior. Natural emissions are lower across Canada. Inversion results are verified against independent aircraft data and surface data, which show better agreement with posterior emissions. This study shows a readjustment of the Canadian methane budget is necessary to better match atmospheric observations with lower natural emissions partially offset by higher anthropogenic emissions.

Highlights

  • Methane is a significant anthropogenically influenced greenhouse gas second to carbon dioxide in terms of its direct radiative forcing (Myhre, 2013)

  • We use the GEOS-Chem chemical transport model (CTM) v12-03 at 2◦ × 2.5◦ grid resolution driven by 2009–2015 MERRA-2 meteorological fields from the NASA Global Modeling and Assimilation Office (GMAO)

  • We evaluate our use of the mean of the WetCHARTS v1.0 extended ensemble by running a series of forward model runs using alternate ensemble members in GEOS-Chem and comparing model output to Environment and Climate Change Canada (ECCC) in situ observations

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Summary

Introduction

Methane is a significant anthropogenically influenced greenhouse gas second to carbon dioxide in terms of its direct radiative forcing (Myhre, 2013). Studies constraining anthropogenic and/or natural methane emissions within Canada have included the use of surface in situ measurements (Miller et al, 2016; Atherton et al, 2017; Ishiziwa et al, 2019), aircraft campaigns (Johnson et al, 2017; Baray et al, 2018) and satellites (Wecht et al, 2014; Turner et al, 2015; Maasakkers et al, 2021) These observations can determine emissions through mass balance methods or be used in conjunction with a chemical transport model (CTM). We demonstrate where the observation system succeeds in providing strong constraints on major emissions sources and quantify the information content of the system to understand the limitations for resolving all minor Canadian emissions

Data and methods
In situ surface observations
GOSAT satellite observations
Forward model
Inverse model methodology
Evaluation of WetCHARTS extended ensemble for wetland emissions in Canada
Joint inversions combining ECCC in situ and GOSAT satellite data
Comparison to independent aircraft and in situ data
Conclusions

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