the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The global methane budget 2000–2012
Marielle Saunois
Philippe Bousquet
Ben Poulter
Anna Peregon
Philippe Ciais
Josep G. Canadell
Edward J. Dlugokencky
Giuseppe Etiope
David Bastviken
Sander Houweling
Greet Janssens-Maenhout
Francesco N. Tubiello
Simona Castaldi
Robert B. Jackson
Mihai Alexe
Vivek K. Arora
David J. Beerling
Peter Bergamaschi
Donald R. Blake
Gordon Brailsford
Victor Brovkin
Lori Bruhwiler
Cyril Crevoisier
Patrick Crill
Kristofer Covey
Charles Curry
Christian Frankenberg
Nicola Gedney
Lena Höglund-Isaksson
Misa Ishizawa
Akihiko Ito
Fortunat Joos
Heon-Sook Kim
Thomas Kleinen
Paul Krummel
Jean-François Lamarque
Ray Langenfelds
Robin Locatelli
Toshinobu Machida
Shamil Maksyutov
Kyle C. McDonald
Julia Marshall
Joe R. Melton
Isamu Morino
Vaishali Naik
Simon O'Doherty
Frans-Jan W. Parmentier
Prabir K. Patra
Changhui Peng
Shushi Peng
Glen P. Peters
Isabelle Pison
Catherine Prigent
Ronald Prinn
Michel Ramonet
William J. Riley
Makoto Saito
Monia Santini
Ronny Schroeder
Isobel J. Simpson
Renato Spahni
Paul Steele
Atsushi Takizawa
Brett F. Thornton
Hanqin Tian
Yasunori Tohjima
Nicolas Viovy
Apostolos Voulgarakis
Michiel van Weele
Guido R. van der Werf
Ray Weiss
Christine Wiedinmyer
David J. Wilton
Andy Wiltshire
Doug Worthy
Debra Wunch
Yukio Yoshida
Bowen Zhang
Zhen Zhang
Qiuan Zhu
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.
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