Global d13C CH4 source signature inventory 2020
Global Inventory of Fossil and Non-fossil δ13C-CH4 Source Signature Measurements for Improved Atmospheric Modeling
Authors- *Owen A. Sherwood, University of Colorado/INSTAAR, USA; Dalhousie University, Canada
- Stefan Schwietzke, University of Colorado/CIRES, USA; Environmental Defense Fund, Germany
- #Xin Lan., University of Colorado/CIRES, NOAA/GML
# corresponding author for non-fossil fuel data, and gridded maps of δ13C-CH4 signatures. Email: xin.lan@noaa.gov
Abstract
Different CH4 sources have distinct δ13C-CH4 signatures over large spatial scales. Atmospheric δ13C-CH4 data and source signatures together can provide strong additional constraints for better allocation of different CH4 sources. Before the large dataset of δ13C-CH4 source signatures was available from Schwietzke et al. (2016), the source signatures used in previous global CH4 budget studies were either based on limited studies or were not representative of global means. Sherwood et al. (2017) further updated the δ13C-CH4 signature dataset over Schwietzke et al. (2016). Here we continue the effort to update this database using recent peer-reviewed literature and conference and government reports. The new database (2020 version) includes measurements from 9477 measurements from fossil fuels (FF) which are representative of FF emissions from 47 countries accounting for ~81% of global oil and natural gas (ONG) and ~90% of global coal production, and 1776 measurements from microbial and 935 measurements from biomass burning sources.
In addition to the large database of δ13C-CH4 signatures, we also compile gridded global maps of δ13C-CH4 source signatures for all major emission sources to be used in atmospheric modeling. The gridded maps represent the globally spatial gradients in δ13C-CH4 signatures depending on data availability. Details regarding the methods used are documented in Lan et al. (2021) (see following citation). These emission sources with spatially-resolved source signatures are ONG, coal, biomass and biofuel burning, ruminants and wild animals. For natural geological seep emissions, spatially-resolved δ13C-CH4 signatures are available from Etiope et al. (2019). For wetland emissions, spatially-resolved δ13C-CH4 signatures are available from Ganesan et al., (2018). For other CH4 sources, the current measurement sample sizes are insufficient to develop spatial distributions, which includes emissions from waste/landfills, termites, and rice. Globally averaged δ13C-CH4 source signatures can be used in modeling studies in this case (see Lan et al. (2021) for details). Atmospheric δ13C-CH4 data used in Lan et al. (2021) are available here: https://doi.org/10.15138/79jq-qc24
Reference:
Etiope, G., G. Ciotoli, S. Schwietzke, and M. Schoell (2019), Gridded maps of geological methane emissions and their isotopic signature, Earth Syst. Sci. Data, 11(1), 1-22, doi: 10.5194/essd-11-1-2019.
Ganesan, A. L., A. C. Stell, N. Gedney, E. Comyn-Platt, G. Hayman, M. Rigby, B. Poulter, and E. R. C. Hornibrook (2018), Spatially Resolved Isotopic Source Signatures of Wetland Methane Emissions, Geophysical Research Letters, 45(8), 3737-3745, doi: 10.1002/2018gl077536.
Version Information:
This 2020 version of the global δ13C-CH4 source inventory supersedes an earlier version (Sherwood, O. A., Schwietzke, S., Arling, V. A., and Etiope, G.: Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Burning Sources, version 2017, Earth Syst. Sci. Data, 9, 639-656, https://doi.org/10.5194/essd-9-639-2017, 2017. Database available at: https://doi.org/10.15138/G3201T).
Product information:
- Global δ13C-CH4 source signature inventory 2020
- Gridded maps of ONG δ13C-CH4 signatures, yearly files from 2000 to 2016 at 1°x1° resolution.
- Gridded map of coal δ13C-CH4 signatures at 1°x1° resolution. Assumed to be time invariant.
- Gridded map of biomass and biofuel burning δ13C-CH4 signatures at 1°x1° resolution. Assumed to be time invariant.
- Gridded map of ruminants and wild animals δ13C-CH4 signatures at 1°x1° resolution. Assumed to be time invariant.
Figure 3 from Lan et al., (2021): Country-level δ13C-CH4 source signatures for ONG (2010) and coal emissions (assume time-invariant). For grid cells without data, a global flux weighted mean is used.
Fair Use Statement
This database is made freely available to the scientific community and is intended to stimulate and support global methane cycle and other modeling studies. We rely on the ethics and integrity of the user to assure that the authors receive fair credit fo...
Required Citation
The database has a Digital Object Identifier (DOI) registered with the International DOI Foundation. In addition to the conditions of fair use as stated above, users must also include the following paper and database citation in any publication or presentation using the product:
Lan, X., Basu, S., Schwietzke, S., Bruhwiler, L. M. P., Dlugokencky, E. J., Michel, S. E., Sherwood, O. A., Tans, P. P., Thoning, K., Etiope, G., Zhuang, Q., Liu, L., Oh, Y., Miller, J. B., Petron, G., Vaughn, B. H., Andrews, A., Crippa, M.: Improved constraints on global methane emissions and sinks using d13C-CH4, Global Biogeochemical Cycles, 35, https://doi.org/10.1029/2021GB007000
Database DOI: https://doi.org/10.15138/qn55-e011
Lan, X., Basu, S., Schwietzke, S., Bruhwiler, L. M. P., Dlugokencky, E. J., Michel, S. E., Sherwood, O. A., Tans, P. P., Thoning, K., Etiope, G., Zhuang, Q., Liu, L., Oh, Y., Miller, J. B., Petron, G., Vaughn, B. H., Andrews, A., Crippa, M.: Improved constraints on global methane emissions and sinks using d13C-CH4, Global Biogeochemical Cycles, 35, https://doi.org/10.1029/2021GB007000
Database DOI: https://doi.org/10.15138/qn55-e011
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