The global methane budget 2000–2012
Authors:
- Marielle SaunoisMSMarielle Saunois
- Philippe BousquetPBPhilippe Bousquet
- Ben PoulterBen Poulter
- Philippe CiaisPCPhilippe Ciais
- Josep G. CanadellJCJosep G. Canadell
- Giuseppe EtiopeGEGiuseppe Etiope
- David BastvikenDBDavid Bastviken
- Sander HouwelingSHSander Houweling
- Greet Janssens-MaenhoutGJGreet Janssens-Maenhout
- Francesco N. TubielloFTFrancesco N. Tubiello
Top Cited Papers
Open Access
- 12 December 2016
- journal article
- review article
- Published by Copernicus GmbH in Earth System Science Data
- Vol. 8 (2) , 697-751
Abstract
The global methane (CH4) budget is becoming an increasingly important component for managing realistic pathways to mitigate climate change. This relevance, due to a shorter atmospheric lifetime and a stronger warming potential than carbon dioxide, is challenged by the still unexplained changes of atmospheric CH4 over the past decade. Emissions and concentrations of CH4 are continuing to increase, making CH4 the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH4 sources that overlap geographically, and from the destruction of CH4 by the very short-lived hydroxyl radical (OH). To address these difficulties, we have established a consortium of multi-disciplinary scientists under the umbrella of the Global Carbon Project to synthesize and stimulate research on the methane cycle, and producing regular (∼ biennial) updates of the global methane budget. This consortium includes atmospheric physicists and chemists, biogeochemists of surface and marine emissions, and socio-economists who study anthropogenic emissions. Following Kirschke et al. (2013), we propose here the first version of a living review paper that integrates results of top-down studies (exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories and data-driven approaches (including process-based models for estimating land surface emissions and atmospheric chemistry, and inventories for anthropogenic emissions, data-driven extrapolations). For the 2003–2012 decade, global methane emissions are estimated by top-down inversions at 558 Tg CH4 yr−1, range 540–568. About 60 % of global emissions are anthropogenic (range 50–65 %). Since 2010, the bottom-up global emission inventories have been closer to methane emissions in the most carbon-intensive Representative Concentrations Pathway (RCP8.5) and higher than all other RCP scenarios. Bottom-up approaches suggest larger global emissions (736 Tg CH4 yr−1, range 596–884) mostly because of larger natural emissions from individual sources such as inland waters, natural wetlands and geological sources. Considering the atmospheric constraints on the top-down budget, it is likely that some of the individual emissions reported by the bottom-up approaches are overestimated, leading to too large global emissions. Latitudinal data from top-down emissions indicate a predominance of tropical emissions (∼ 64 % of the global budget, < 30° N) as compared to mid (∼ 32 %, 30–60° N) and high northern latitudes (∼ 4 %, 60–90° N). Top-down inversions consistently infer lower emissions in China (∼ 58 Tg CH4 yr−1, range 51–72, −14 %) and higher emissions in Africa (86 Tg CH4 yr−1, range 73–108, +19 %) than bottom-up values used as prior estimates. Overall, uncertainties for anthropogenic emissions appear smaller than those from natural sources, and the uncertainties on source categories appear larger for top-down inversions than for bottom-up inventories and models. The most important source of uncertainty on the methane budget is attributable to emissions from wetland and other inland waters. We show that the wetland extent could contribute 30–40 % on the estimated range for wetland emissions. Other priorities for improving the methane budget include the following: (i) the development of process-based models for inland-water emissions, (ii) the intensification of methane observations at local scale (flux measurements) to constrain bottom-up land surface models, and at regional scale (surface networks and satellites) to constrain top-down inversions, (iii) improvements in the estimation of atmospheric loss by OH, and (iv) improvements of the transport models integrated in top-down inversions. The data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (http://doi.org/10.3334/CDIAC/GLOBAL_METHANE_BUDGET_2016_V1.1) and the Global Carbon Project.Keywords
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This publication has 319 references indexed in Scilit:
- Measurements of methane emissions at natural gas production sites in the United StatesProceedings of the National Academy of Sciences, 2013
- The carbon budget of South AsiaBiogeosciences, 2013
- Trees are major conduits for methane egress from tropical forested wetlandsNew Phytologist, 2012
- The Global Inventory of Methane Hydrate in Marine Sediments: A Theoretical ApproachEnergies, 2012
- Stratospheric ozone depletion due to nitrous oxide: influences of other gasesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2012
- A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite DataEnergies, 2009
- Emission of methane from plantsProceedings Of The Royal Society B-Biological Sciences, 2009
- An atmospheric perspective on North American carbon dioxide exchange: CarbonTrackerProceedings of the National Academy of Sciences, 2007
- No evidence for substantial aerobic methane emission by terrestrial plants: a 13C‐labelling approachNew Phytologist, 2007
- Methane emissions from terrestrial plants under aerobic conditionsNature, 2006