Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-7019-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
Using new geospatial data and 2020 fossil fuel methane emissions for the Global Fuel Exploitation Inventory (GFEI) v3
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- Final revised paper (published on 10 Dec 2025)
- Supplement to the final revised paper
- Preprint (discussion started on 11 Feb 2025)
- Supplement to the preprint
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Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
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- RC1: 'Comment on essd-2024-552', Anonymous Referee #1, 19 Mar 2025
- RC2: 'Comment on essd-2024-552', Anonymous Referee #2, 30 Apr 2025
- AC1: 'Comment on essd-2024-552', Tia Scarpelli, 06 Jun 2025
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AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Tia Scarpelli on behalf of the Authors (06 Jun 2025)
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ED: Referee Nomination & Report Request started (11 Jun 2025) by Graciela Raga
RR by Anonymous Referee #3 (24 Jun 2025)
ED: Reconsider after major revisions (27 Jun 2025) by Graciela Raga
AR by Tia Scarpelli on behalf of the Authors (30 Jul 2025)
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ED: Publish as is (14 Oct 2025) by Graciela Raga
AR by Tia Scarpelli on behalf of the Authors (21 Oct 2025)
Overall a very useful paper.
It would be useful to compare your GFEI v3 results to other global methane estimates, e.g., EC EDGAR, IEA Global Methane Tracker, both of which you cite. Since GFEI relies substantially on country-level emission reports, please respond to or put in context GMT's statement that ""Methane emissions from the energy sector are about 70% higher than reported in official data." It seems (though I am not a methane measurement expert) that the US EPA continually revises upward methane emission estimates. This is likely the case in other national assessments, e.g., South Africa, and others that you cite.
Does the Rocky Mountain Institute GHG mapper (https://ociplus.rmi.org) or the Stanford's OPGEE models offer a useful comparison/ (RMI adopts GFEIv2 data).
You use US EPA emission data for abandoned coal mines. Can you make any useful extensions from the US mines to estimate abandoned mine CH4 rates elsewhere?
Certain anomalous results in GFEIv3 suggests further discussion, such as Mexico's 2x oil emissions., and Venezuela and Libya (the latter two are explained). Line 191. South Africa's large decrease in GFEIv3 warrants a mention.
Your highly detailed data is very useful. It is likely beyond your scope, but it would be interesting to see a table of leading countries' emission rates per commodity.
Minor correction: 99.8% vs 99.7% in lines 177 and 204.
Excellent work.