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A gridded inventory of Canada’s anthropogenic methane emissions

Bibliographic Data

ID15545751
AuthorsTia R Scarpelli (0000-0001-5544-8732, Harvard University Press, corresponding author), Daniel J Jacob (0000-0002-6373-3100, Harvard University Press), Michael D Moran (0000-0002-3858-7017, Environment and Climate Change Canada), Frances Reuland (0000-0001-9463-7931, Rocky Mountain Institute), Deborah Gordon (0000-0001-7767-1740, Rocky Mountain Institute)
Year2021
Volume17
Issue1
Pages014007-014007
Publication date2021-12-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac40b1
OpenAlexW4200102623
LanguageEN
Citations received1

Canada’s anthropogenic methane emissions are reported annually to the United Nations Framework Convention on Climate Change through Canada’s National Inventory Report (NIR). Evaluation of this policy-relevant inventory using observations of atmospheric methane requires prior information on the spatial distribution of emissions but that information is lacking in the NIR. Here we spatially allocate the NIR methane emissions for 2018 on a 0.1° × 0.1° grid (≈10 km × 10 km) for individual source sectors and subsectors, with further resolution by source type for the oil/gas sector, using an ensemble of national and provincial geospatial datasets and including facility-level information from Canada’s Greenhouse Gas Reporting Program. The highest emissions are from oil/gas production and livestock in western Canada, and landfills in eastern Canada. We find 11 hotspots emitting more than 1 metric ton h −1 on the 0.1° × 0.1° grid. Oil sands mines in northeast Alberta contribute 3 of these hotspots even though oil sands contribute only 4% of national oil/gas emissions. Our gridded inventory shows large spatial differences with the EDGAR v5 inventory commonly used for inversions of atmospheric methane observations, which may reflect EDGAR’s reliance on global geospatial datasets. Comparison of our spatially resolved inventory to atmospheric measurements in oil/gas production fields suggests that the NIR underestimates these emissions. We also find strong spatial overlap between oil/gas, livestock, and wetland emissions in western Canada that may complicate source attribution in inversions of atmospheric data

Air quality index · Atmospheric methane · Atmospheric sciences · Emission inventory · Fossil fuel · Geography · Geospatial analysis · Greenhouse gas · Meteorology · Methane · Physical geography · Remote sensing · Tonne · Atmospheric and Environmental Gas Dynamics · Atmospheric chemistry and aerosols · Atmospheric Ozone and Climate · Environmental Science · Geology

  • Saskatchewan’s oil and gas methane

    Open Access•Scott P Seymour, Zhongju Li et al.•Environmental Research Letters•2023

Unique citing works1
Citations per year0.33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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