Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1131-2017
https://doi.org/10.5194/gmd-10-1131-2017
Development and technical paper
 | 
16 Mar 2017
Development and technical paper |  | 16 Mar 2017

A joint global carbon inversion system using both CO2 and 13CO2 atmospheric concentration data

Jing M. Chen, Gang Mo, and Feng Deng

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Cited articles

Alden, C., Miller, J. B., and White, J. W. C.: Can bottom-up ocean CO2 fluxes can be reconciled with atmospheric 13C observations?, Tellus B, 62, 369–388, 2010.
Andres, R. J., Marland, G., Boden, T., and Bischof, S.: Carbon dioxide emissions from fossil fuel consumption and cement manufacture, 1751–1991, and an estimate of their isotopic composition and latitudinal distribution, in: The Carbon Cycle, edited by: Wigley, T. M. L. and Schimel, D. S., Cambridge University Press, Cambridge, 53–62, 2000.
Aumont, O., Maier-Reimer, E., Blain, S., and Monfray, P.: An ecosystem model of the global ocean including Fe, Si, P colimitations, Global Biogeochem. Cy., 17, 1060, https://doi.org/10.1029/2001GB001745, 2003.
Baker, D. F., Law, R. M., Gurney, K. R., Rayner, P., Peylin, P., Denning, A. D., Bousquet, P., Bruhwiler, L., Chen, Y. H., Ciais, P., Fung, I. Y., Heimann, M., John, J., Maki, T., Maksyutov, S., Masarie, K., Prather, M., Pak, B., Taguchi, S., and Zhu, Z.: TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003, Global Biogeochem. Cy., 20, GB1002, https://doi.org/10.1029/2004GB002439, 2006.
Ball, J. T.: An analysis of stomatal conductance, PhD thesis, Stanford Univ., Stanford, California, 89 pp., 1988.
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Short summary
A joint inversion system is developed for estimating the carbon fluxes in 39 land and 11 ocean regions of the globe using both atmospheric CO2 and 13CO2 stable isotope data. In particular, a biospheric model is developed to model both CO2 and 13CO2 fluxes over land to constrain the inversion. Relative to CO2-only inversion, the joint inversion system improved the partition between land and ocean carbon fluxes and possibly the distribution of the fluxes among land regions as well.