Journal cover Journal topic
Earth System Science Data The Data Publishing Journal
https://doi.org/10.5194/essd-2017-20
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Review article
30 Mar 2017
Review status
This discussion paper is under review for the journal Earth System Science Data (ESSD).
Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Biomass Burning Sources, Version 2017
Owen A. Sherwood1, Stefan Schwietzke2,3, Victoria A. Arling3, and Giuseppe Etiope4 1Institute of Arctic and Alpine Research, University of Colorado, Boulder, Colorado, USA
2Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, Colorado, USA
3NOAA Earth System Research Laboratory, Global Monitoring Division, Boulder, Colorado, USA
4Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy, and Faculty of Environmental Science and Engineering, Babes-Bolyai University, Cluj-Napoca, Romania
Abstract. The concentration of atmospheric methane (CH4) has more than doubled over the industrial era. To help constrain global and regional CH4 budgets, inverse (top-down) models incorporate data on the concentration and stable carbon (δ13C) and hydrogen (δ2H) isotopic ratios of atmospheric CH4. These models depend on accurate δ13C and δ2H end-member source signatures for each the main emissions categories. Compared with meticulous measurement and calibration of isotopic CH4 in the atmosphere, there has been relatively little effort to characterize globally representative isotopic source signatures, particularly for fossil fuel sources, since the 1980s. Most global CH4 budget models have so far relied on outdated source signature values derived from globally non-representative data. To correct this deficiency, we present a comprehensive, globally representative end-member database of the δ13C and δ2H of CH4 from fossil fuel (conventional natural gas, shale gas and coal), modern microbial (wetlands, rice paddies, ruminants, termites, and landfills/waste) and biomass burning sources. Alkane and permanent gas molecular chemistry for fossil fuel categories are also included with the database. The database comprises 10,706 samples (8,734 fossil fuel, 1972 non-fossil) from 190 published references. Mean (unweighted) δ13C signatures for fossil fuel CH4 are significantly lighter than values commonly used in CH4 budget models, thus highlighting potential under-estimation of fossil fuel CH4 emissions in previous CH4 budget models. This living database will be updated every 2–3 years to provide the atmospheric modeling community with the most complete CH4 source signature data possible. Database Digital Object Identifier (DOI): https://doi.org/10.15138/G3201T.

Citation: Sherwood, O. A., Schwietzke, S., Arling, V. A., and Etiope, G.: Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Biomass Burning Sources, Version 2017, Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2017-20, in review, 2017.
Owen A. Sherwood et al.
Owen A. Sherwood et al.

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Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Biomass Burning Sources, Version 2017
O. A. Sherwood, S. Schwietzke, V. A. Arling, and G. Etiope
https://doi.org/10.15138/G3201T
Owen A. Sherwood et al.

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Short summary
Multiple natural and anthropogenic emissions sources contribute to the global atmospheric methane budget. Methane emissions are constrained, in part, by inverse (top-down) models that incorporate data on the concentration and stable carbon and hydrogen isotopic ratios of methane from different sources. To aid in these modeling efforts, we present a geochemical database comprising over 10,000 discrete samples from fossil and non-fossil fuel sources of methane.
Multiple natural and anthropogenic emissions sources contribute to the global atmospheric...
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