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The Global Methane Budget: 2000-2012.

Authors :
Saunois, Marielle
Bousquet, Philippe
Poulter, Ben
Peregon, Anna
Ciais, Philippe
Canadell, Josep G.
Dlugokencky, Edward J.
Etiope, Giuseppe
Bastviken, David
Houweling, Sander
Janssens-Maenhout, Greet
Tubiello, Francesco N.
Castaldi, Simona
Jackson, Robert B.
Alexe, Mihai
Arora, Vivek K.
Beerling, David J.
Bergamaschi, Peter
Blake, Donald R.
Brailsford, Gordon
Source :
Earth System Science Data Discussions; 2016, Vol. 9 Issue 1, p1-79, 79p
Publication Year :
2016

Abstract

The global methane (CH<subscript>4</subscript>) 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 CH<subscript>4</subscript> over the past decade. Emissions and concentrations of CH<subscript>4</subscript> are continuing to increase making CH<subscript>4</subscript> the second most important human-induced greenhouse gas after carbon dioxide. Two major difficulties in reducing uncertainties come from the large variety of diffusive CH<subscript>4</subscript> sources that overlap geographically, and from the destruction of CH<subscript>4</subscript> 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 (T-D, exploiting atmospheric observations within an atmospheric inverse-modelling framework) and bottom-up models, inventories, and data-driven approaches (B-U, 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 T-D inversions at 558 & Tg & CH<subscript>4</subscript> & yr<superscript>-1</superscript> (range [540-568]). About 60 & % of global emissions are anthropogenic (range [50-65 & %]). B-U approaches suggest larger global emissions (736 & Tg & CH<subscript>4</subscript> & yr<superscript>-1</superscript> [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 T-D budget, it is likely that some of the individual emissions reported by the B-U approaches are overestimated, leading to too large global emissions. Latitudinal data from T-D emissions indicate a predominance of tropical emissions (~64 & % of the global budget, < & 30° & N) as compared to mid (~32 & %, 30° & N-60° & N) and high northern latitudes (~ & 4 & %, 60° & N-90° & N). T-D inversions consistently infer lower emissions in China (~58 & Tg & CH<subscript>4</subscript> & yr<superscript>-1</superscript> [51-72], -14 & %) and higher emissions in Africa (86 & Tg & CH<subscript>4</subscript> & yr<superscript>-1</superscript> [73-108], +19 & %) than B-U 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 T-D inversions than for B-U 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 for 30-40 & % on the estimated range for wetland emissions. Other priorities for improving the methane budget include: i) the development of process-based models for inland-water emissions, ii) the intensification of methane observations at local scale (flux measurements) to constrain B-U land surface models, and at regional scale (surface networks and satellites) to constrain T-D inversions, iii) improvements in the estimation of atmospheric loss by OH, and iv) improvements of the transport models integrated in T-D inversions. The data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/Global_Methane_Budget_2016). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663591
Volume :
9
Issue :
1
Database :
Complementary Index
Journal :
Earth System Science Data Discussions
Publication Type :
Academic Journal
Accession number :
117599828
Full Text :
https://doi.org/10.5194/essd-2016-25