It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Emissions from fossil fuel exploitation are a leading contributor to global anthropogenic methane emissions, but are highly uncertain. The lack of reliable estimates hinders monitoring of the progress on pledges towards methane reductions. Here we analyze methane emissions from exploitation of coal, oil and gas for major producing nations across a suite of bottom-up inventories and global inversions. Larger disagreement in emissions exists for the oil/gas sector across the inventories compared to coal, arising mostly from disparate data sources for emission factors. Moreover, emissions reported to the United Nations Framework Convention on Climate Change are lower than other bottom-up and inversion estimates, with many countries lacking reporting in the past decades. Finally, comparison with previous global inversions, revealed a strong influence of the prior inventory on the inferred sub-sectoral emissions magnitude. This study highlights the need to improve consensus on the methodological inputs among the bottom-up inventories in order to obtain more consistent inverse modelling results at the sub-sectoral level.
Disparate data sources for emission factors at the sub-sectoral level lead to greater disagreement in estimates of methane emissions for the oil and gas sector, compared to coal, across inventories, suggests an analysis of a suite of bottom-up inventories and an ensemble of global inversions.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details









1 Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722)
2 Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722); Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus (GRID:grid.426429.f) (ISNI:0000 0004 0580 3152)
3 Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722); Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland (GRID:grid.7354.5) (ISNI:0000 0001 2331 3059)
4 Tsinghua University, Department of Earth System Science, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
5 Kayrros, 33 rue Lafayette, Paris, France (GRID:grid.518879.a)
6 European Space Agency Climate Office, ECSAT, Harwell Campus, Didcot, UK (GRID:grid.434160.4) (ISNI:0000 0004 6043 947X)
7 Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722); Earth System Division, National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933)
8 Research Institute for Global Change, JAMSTEC, 3173-25 Showa-machi, Kanazawa, Yokohama, Japan (GRID:grid.410588.0) (ISNI:0000 0001 2191 0132); Chiba University, Center for Environmental Remote Sensing, Chiba, Japan (GRID:grid.136304.3) (ISNI:0000 0004 0370 1101)
9 Finnish Meteorological Institute, Helsinki, Finland (GRID:grid.8657.c) (ISNI:0000 0001 2253 8678)
10 Tsinghua University, Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School, Shenzhen, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178); State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
11 Chiba University, Center for Environmental Remote Sensing, Chiba, Japan (GRID:grid.136304.3) (ISNI:0000 0004 0370 1101)
12 Earth System Division, National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933); Meteorological Research Institute (MRI), Nagamine 1-1, Tsukuba, Ibaraki, Japan (GRID:grid.140139.e) (ISNI:0000 0004 0489 1234)
13 Earth System Division, National Institute for Environmental Studies (NIES), Onogawa 16-2, Tsukuba, Ibaraki, Japan (GRID:grid.140139.e) (ISNI:0000 0001 0746 5933)
14 TNO, Department of Climate Air & Sustainability, P.O. Box 80015, Utrecht, The Netherlands (GRID:grid.4858.1) (ISNI:0000 0001 0208 7216)
15 Laboratoire des Sciences du Climat et de l’Environnement (LSCE), IPSL, CEA/CNRS/UVSQ, Université Paris-Saclay, Gif-Sur-Yvette, France (GRID:grid.457340.1) (ISNI:0000 0001 0584 9722); Clean Air Task Force, Boston, USA (GRID:grid.497333.9)
16 Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus (GRID:grid.426429.f) (ISNI:0000 0004 0580 3152)