Articles | Volume 15, issue 8
Data description paper
24 Aug 2023
Data description paper |  | 24 Aug 2023

Developing a spatially explicit global oil and gas infrastructure database for characterizing methane emission sources at high resolution

Mark Omara, Ritesh Gautam, Madeleine A. O'Brien, Anthony Himmelberger, Alex Franco, Kelsey Meisenhelder, Grace Hauser, David R. Lyon, Apisada Chulakadabba, Christopher Chan Miller, Jonathan Franklin, Steven C. Wofsy, and Steven P. Hamburg


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-452', Anonymous Referee #1, 09 Mar 2023
    • AC1: 'Reply on RC1', Mark Omara, 11 May 2023
  • RC2: 'Comment on essd-2022-452', Anonymous Referee #2, 20 Mar 2023
    • AC2: 'Reply on RC2', Mark Omara, 11 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Mark Omara on behalf of the Authors (11 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 May 2023) by Xuecao Li
RR by Anonymous Referee #1 (31 May 2023)
RR by Anonymous Referee #2 (11 Jun 2023)
ED: Publish as is (25 Jun 2023) by Xuecao Li
AR by Mark Omara on behalf of the Authors (04 Jul 2023)
Short summary
We acquire, integrate, and analyze ~ 6 million geospatial oil and gas infrastructure data records based on information available in the public domain and develop an open-access global database including all the major oil and gas facility types that are important sources of methane emissions. This work helps fulfill a crucial geospatial data need, in support of the assessment, attribution, and mitigation of global oil and gas methane emissions at high resolution.
Final-revised paper