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. 2023 Nov 27;381(2261):20220203.
doi: 10.1098/rsta.2022.0203. Epub 2023 Oct 9.

Estimating regional fossil fuel CO2 concentrations from 14CO2 observations: challenges and uncertainties

Affiliations

Estimating regional fossil fuel CO2 concentrations from 14CO2 observations: challenges and uncertainties

Fabian Maier et al. Philos Trans A Math Phys Eng Sci. .

Abstract

The direct way to estimate the regional fossil fuel CO2 surplus (ΔffCO2) at a station is by measuring the Δ14CO2 depletion compared with a respective background. However, this approach has several challenges, which are (i) the choice of an appropriate Δ14CO2 background, (ii) potential contaminations through nuclear 14CO2 emissions and (iii) masking of ΔffCO2 by 14C-enriched biosphere respiration. Here we evaluate these challenges and estimate potential biases and typical uncertainties of 14C-based ΔffCO2 estimates in Europe. We show that Mace Head (MHD), Ireland, is a representative background station for the Integrated Carbon Observation System (ICOS) atmosphere station network. The mean ΔffCO2 representativeness bias when using the MHD Δ14CO2 background for the whole observation network is of order 0.1 ± 0.3 ppm. At ICOS sites, the median nuclear contamination leads to 25% low-biased ΔffCO2 estimates if not corrected for. The ΔffCO2 masking due to 14C-enriched heterotrophic CO2 respiration can lead to similar ΔffCO2 biases as the nuclear contaminations, especially in summer. Our evaluation of all components contributing to the uncertainty of ΔffCO2 estimates reveals that, due to the small ffCO2 signals at ICOS stations, almost half of the 14C-based ΔffCO2 estimates from integrated samples have an uncertainty that is larger than 50%. This article is part of the Theo Murphy meeting issue 'Radiocarbon in the Anthropocene'.

Keywords: fossil fuel CO2; nuclear 14CO2 contamination; radiocarbon; Δ14CO2 background.

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Conflict of interest statement

We declare we have no competing interests.

Figures

Figure 1.
Figure 1.
Ratio of ΔffCO2 when estimated with equation (2.4) versus equation (2.3) for Cphoto/Cff ratios ranging from −0.1 to −10.
Figure 2.
Figure 2.
Abundance distribution for the endpoints of the STILT back-trajectories from nine ICOS sites (coloured crosses) in 2018. At each hour and each station, 100 particles were released in STILT, and their back-trajectories were calculated for 10 days backward in time. If the trajectory leaves the shown domain, its endpoint is defined as the grid cell where the trajectory leaves the domain the first time. STILT was driven with the 0.25° resolved ERA5 (European ReAnalysis 5) meteorology from the European Center for Medium-Range Weather Forecasts (ECMWF). The black cross indicates the position of the Mace Head (MHD) background site (back-trajectories were not calculated for MHD).
Figure 3.
Figure 3.
TM3-simulated fossil fuel CO2 concentration offsets relative to Mace Head caused by emissions outside of our target region (figure 2). (a,b) The offsets at a location at mid-latitudes of the eastern boundary, for all hours (a) and for 13 h UTC only (b). (c,d) Corresponding data for the ICOS station Křešín (KRE). Note the different scales in (a,b) and (c,d).
Figure 4.
Figure 4.
ΔffCO2 masking by 14CO2 emissions from nuclear installations in relation to the ratio between Δnuc14 and (Δbg14Δmeas14).
Figure 5.
Figure 5.
ΔffCO2 masking by 14C-enriched respiration CO2 plotted versus the difference between (Δresp14Δmeas14) for Cresp/Cff ratios between 0.1 and 6.
Figure 6.
Figure 6.
Distribution of observed Δ14 signals between reference station (MHD) and ICOS stations ((a) for two-week integrated samples and (c) for the currently available flask samples). (b,d) The distributions of the estimated nuclear corrections of the samples.
Figure 7.
Figure 7.
(a) Relative uncertainty of ΔffCO2 in relation to the observed difference of Δ14 between background and station (Δbg14Δmeas14). (b) The absolute uncertainty in ppm. Note, the x-axis starts at −2 to account for masking effects.
Figure 8.
Figure 8.
Nuclear 14CO2 emissions in Europe (annual means for 2018). The black crosses show the locations of the ICOS class-1 stations. See the text for a description of how this map was created.
Figure 9.
Figure 9.
Simulated Cphoto/Cff (green) and Cresp/Cff (red) ratios for the integrated samples collected at the two ICOS sites KRE (a) and OPE (b).

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