Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations

Baray, Sabour; Jacob, Daniel J.; Maasakkers, Joannes D.; Sheng, Jian-Xiong; Sulprizio, Melissa P.; Jones, Dylan B. A.; Bloom, A. Anthony; McLaren, Robert

doi:https://doi.org/10.5194/acp-21-18101-2021

Articles | Volume 21, issue 23

https://doi.org/10.5194/acp-21-18101-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-18101-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 23

Research article

|

13 Dec 2021

Research article |

| 13 Dec 2021

Estimating 2010–2015 anthropogenic and natural methane emissions in Canada using ECCC surface and GOSAT satellite observations

Sabour Baray, Daniel J. Jacob, Joannes D. Maasakkers, Jian-Xiong Sheng, Melissa P. Sulprizio, Dylan B. A. Jones, A. Anthony Bloom, and Robert McLaren

Supplement

https://doi.org/10.5194/acp-21-18101-2021-supplement

Data sets

GEOS-Chem 12.0.3 The International GEOS-Chem User Community https://doi.org/10.5281/zenodo.1464210

GOSAT satellite data are from the University of Leicester v7 proxy retrieval ESA CCI GHG project team https://catalogue.ceda.ac.uk/uuid/f9154243fd8744bdaf2a59c39033e659

NOAA/ESRL aircraft data J. Mund, K. Thoning, P. Tans, C. Sweeny, J. Higgs, S. Wolter, A. Crotwell, D. Neff, E. Dlugokencky, P. Lang, P. Novelli, E. Moglia, and M. Crotwell https://doi.org/10.7289/V5N58JMF

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Short summary

We use 2010–2015 surface and satellite observations to disentangle methane from anthropogenic and natural sources in Canada. Using a chemical transport model (GEOS-Chem), the mismatch between modelled and observed methane concentrations can be used to infer emissions according to Bayesian statistics. Compared to prior knowledge, we show higher anthropogenic emissions attributed to energy and/or agriculture in Western Canada and lower natural emissions from Boreal wetlands.