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Volume 10, issue 12 | Copyright

Special issue: Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental...

Geosci. Model Dev., 10, 4405-4417, 2017
https://doi.org/10.5194/gmd-10-4405-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model experiment description paper 05 Dec 2017

Model experiment description paper | 05 Dec 2017

Compiled records of carbon isotopes in atmospheric CO2 for historical simulations in CMIP6

Heather Graven et al.
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Cited articles
Allison, C. E. and Francey, R. J.: Verifying Southern Hemisphere trends in atmospheric carbon dioxide stable isotopes, J. Geophys. Res., 112, D21304, https://doi.org/10.1029/2006jd007345, 2007.
Anklin, M., Barnola, J.-M., Schwander, J., Stauffer, B., and Raynaud, D.: Processes affecting the CO2 concentrations measured in Greenland ice, Tellus B, 47, 461–470, https://doi.org/10.1034/j.1600-0889.47.issue4.6.x, 1995.
Ballantyne, A. P., Miller, J. B., Baker, I. T., Tans, P. P., and White, J. W. C.: Novel applications of carbon isotopes in atmospheric CO2: what can atmospheric measurements teach us about processes in the biosphere?, Biogeosciences, 8, 3093–3106, https://doi.org/10.5194/bg-8-3093-2011, 2011.
Brand, W. A., Assonov, S. S., and Coplen, T. B.: Correction for the 17O interference in δ(13C) measurements when analyzing CO2 with stable isotope mass spectrometry (IUPAC Technical Report), pac, 82, 1719–1733, https://doi.org/10.1351/pac-rep-09-01-05, 2010.
Braziunas, T. F., Fung, I. Y., and Stuiver, M.: The preindustrial atmospheric 14CO2 latitudinal gradient as related to exchanges among atmospheric, oceanic and terrestrial reservoirs, Global Biogeochem. Cy., 9, 565–584, 1995.
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Modelling of carbon isotopes 13C and 14C in land and ocean components of Earth system models provides opportunities for new insights and improved understanding of global carbon cycling, and for model evaluation. We compiled existing historical datasets to define the annual mean carbon isotopic composition of atmospheric CO2 for 1850–2015 that can be used in CMIP6 and other modelling activities.
Modelling of carbon isotopes 13C and 14C in land and ocean components of Earth system models...
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