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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 11, issue 13
Atmos. Chem. Phys., 11, 6607–6622, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Chem. Phys., 11, 6607–6622, 2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.

  12 Jul 2011

12 Jul 2011

Importance of fossil fuel emission uncertainties over Europe for CO2 modeling: model intercomparison

P. Peylin1,8, S. Houweling2,3, M. C. Krol2,3,4, U. Karstens5, C. Rödenbeck5, C. Geels6, A. Vermeulen7, B. Badawy5, C. Aulagnier5, T. Pregger9, F. Delage1, G. Pieterse3, P. Ciais1, and M. Heimann5 P. Peylin et al.
  • 1Laboratoire des Sciences du Climat et de l'Environnement, Unite Mixte de Recherche, UMR1572, CNRS-CEA-UVSQ, 91191 Gif Sur Yvette, France
  • 2National Instiute for Space Research, Utrecht, The Netherlands
  • 3Institute for Marine and Atmospheric Research Utrecht, Utrecht, The Netherlands
  • 4Wageningen University and Research, Wageningen, The Netherlands
  • 5Max-Planck-Institute for Biogeochemistry, Jena, Germany
  • 6National Environmental Institute, Roskilde, Denmark
  • 7Energy Research Centre of the Netherlands, Petten, The Netherlands
  • 8Laboratoire BIOEMCO, Unite Mixte de Recherche, UMR7618, UPMC-CNRS-INRA-IRD-ENS, THIVERVAL-GRIGNON, France
  • 9Institute of Energy Economics and the Rational Use of Energy (IER), Stuttgart, Germany

Abstract. Inverse modeling techniques used to quantify surface carbon fluxes commonly assume that the uncertainty of fossil fuel CO2 (FFCO2) emissions is negligible and that intra-annual variations can be neglected. To investigate these assumptions, we analyzed the differences between four fossil fuel emission inventories with spatial and temporal differences over Europe and their impact on the model simulated CO2 concentration. Large temporal flux variations characterize the hourly fields (~40 % and ~80 % for the seasonal and diurnal cycles, peak-to-peak) and annual country totals differ by 10 % on average and up to 40 % for some countries (i.e., the Netherlands). These emissions have been prescribed to seven different transport models, resulting in 28 different FFCO2 concentrations fields.

The modeled FFCO2 concentration time series at surface sites using time-varying emissions show larger seasonal cycles (+2 ppm at the Hungarian tall tower (HUN)) and smaller diurnal cycles in summer (−1 ppm at HUN) than when using constant emissions. The concentration range spanned by all simulations varies between stations, and is generally larger in winter (up to ~10 ppm peak-to-peak at HUN) than in summer (~5 ppm). The contribution of transport model differences to the simulated concentration std-dev is 2–3 times larger than the contribution of emission differences only, at typical European sites used in global inversions. These contributions to the hourly (monthly) std-dev's amount to ~1.2 (0.8) ppm and ~0.4 (0.3) ppm for transport and emissions, respectively. First comparisons of the modeled concentrations with 14C-based fossil fuel CO2 observations show that the large transport differences still hamper a quantitative evaluation/validation of the emission inventories. Changes in the estimated monthly biosphere flux (Fbio) over Europe, using two inverse modeling approaches, are relatively small (less that 5 %) while changes in annual Fbio (up to ~0.15 % GtC yr−1) are only slightly smaller than the differences in annual emission totals and around 30 % of the mean European ecosystem carbon sink. These results point to an urgent need to improve not only the transport models but also the assumed spatial and temporal distribution of fossil fuel emission inventories.

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