the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Uncertainty of continuous ∆CO-based ∆ffCO2 estimates derived from 14C flask and bottom-up ∆CO / ∆ffCO2 ratios
Abstract. Measuring the 14C / C depletion in atmospheric CO2 compared to a clean-air reference is the most direct way to estimate the recently added CO2 contribution from fossil fuel (ff) combustion (∆ffCO2) in ambient air. However, since 14CO2 measurements cannot be conducted continuously nor remotely, there are only very sparse 14C-based ∆ffCO2 estimates available. Continuously measured tracers like carbon monoxide (CO), which are co-emitted with ffCO2 can be used as additional alternative proxies for ∆ffCO2, provided that the ∆CO / ∆ffCO2 ratios can be determined correctly. Here, we use almost 350 14CO2 measurements from flask samples collected between 2019 and 2020 at the urban site Heidelberg in Germany, and corresponding analyses from more than 50 afternoon flasks collected between September 2020 and March 2021 at the rural ICOS site Observatoire pérenne de l'environnement (OPE) in France, to calculate average ∆CO / ∆ffCO2 ratios for those sites. By dividing the hourly ∆CO excess observations by the averaged flask ratio, we construct continuous and bias-free ∆CO-based ∆ffCO2 records. The comparison between ∆CO-based ∆ffCO2 and 14C-based ∆ffCO2 from the flasks yields a root-mean-square deviation (RMSD) of about 4 ppm for the urban site Heidelberg and of 1.5 ppm for the rural site OPE. While for OPE this uncertainty can be explained by observational uncertainties alone, for Heidelberg about half of the uncertainty is caused by the neglected variability of the ∆CO/∆ffCO2 ratios. We further show that modelled ratios based on a bottom-up European emission inventory would lead to substantial biases in the ΔCO-based ∆ffCO2 estimates for Heidelberg, and also for OPE. This highlights the need for an ongoing observational calibration/validation of inventory-based ratios, if those shall be applied for large-scale ΔCO-based ∆ffCO2 estimates, e.g. from satellites.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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Preprint
(1412 KB)
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1412 KB) - Metadata XML
- BibTeX
- EndNote
- Final revised paper
Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1237', Anonymous Referee #1, 11 Jul 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-RC1-supplement.pdf
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AC1: 'Reply on RC1', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC1-supplement.pdf
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AC1: 'Reply on RC1', Fabian Maier, 27 Apr 2024
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RC2: 'Comment on egusphere-2023-1237', John Miller, 18 Mar 2024
Review of Maier et al, “Uncertainty of continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO/ΔffCO2 ratios” by John Miller
General comments
Overall, this is a very good study focused on developing high frequency proxies (here CO) for the estimation for the recently added fossil content of atmospheric CO2 measurements. The writing is generally very good and the figures are excellent, reflecting the analysis itself. The pdf has numerous comments but I will highlight two here:
- Although this is clear in the title, use of “Delta(CO)-based DffCO2 estimates”, when used without explanation, has the potential to be highly misleading because these estimates (the atmospheric data-based ones the paper shows to be trustworthy) are still based on D14C I’m not exactly sure of the solution, but perhaps you can employ nomenclature/notation that identifies such values as ‘calibrated’ by 14C.
- I have a few questions about the TNO inventory that could benefit by a bit more investigation and explanation. First, it appears that TNO includes biofuels such as wood. But what about ethanol and biodiesel? Generally, can the fossil components of the TNO inventory be isolated for a more direct comparison with 14C-based observations? Second, in investigation of the point source impacts for Heidelberg, can you transport the non-point-source sectors to see how much the match to data is improved – i.e., is the mismatch mainly due to the ratio of (dilute) point to area sources in TNO or mainly due to incorrect emission ratios for the area sources?
Specific comments
Suggested edits and comments are embedded in the manuscript .pdf. Blue highlights indicate those that are language oriented and yellow for science/conceptual issues.
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AC2: 'Reply on RC2', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC2-supplement.pdf
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AC3: 'Reply on RC2 supplement', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC3-supplement.pdf
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1237', Anonymous Referee #1, 11 Jul 2023
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-RC1-supplement.pdf
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AC1: 'Reply on RC1', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC1-supplement.pdf
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AC1: 'Reply on RC1', Fabian Maier, 27 Apr 2024
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RC2: 'Comment on egusphere-2023-1237', John Miller, 18 Mar 2024
Review of Maier et al, “Uncertainty of continuous ΔCO-based ΔffCO2 estimates derived from 14C flask and bottom-up ΔCO/ΔffCO2 ratios” by John Miller
General comments
Overall, this is a very good study focused on developing high frequency proxies (here CO) for the estimation for the recently added fossil content of atmospheric CO2 measurements. The writing is generally very good and the figures are excellent, reflecting the analysis itself. The pdf has numerous comments but I will highlight two here:
- Although this is clear in the title, use of “Delta(CO)-based DffCO2 estimates”, when used without explanation, has the potential to be highly misleading because these estimates (the atmospheric data-based ones the paper shows to be trustworthy) are still based on D14C I’m not exactly sure of the solution, but perhaps you can employ nomenclature/notation that identifies such values as ‘calibrated’ by 14C.
- I have a few questions about the TNO inventory that could benefit by a bit more investigation and explanation. First, it appears that TNO includes biofuels such as wood. But what about ethanol and biodiesel? Generally, can the fossil components of the TNO inventory be isolated for a more direct comparison with 14C-based observations? Second, in investigation of the point source impacts for Heidelberg, can you transport the non-point-source sectors to see how much the match to data is improved – i.e., is the mismatch mainly due to the ratio of (dilute) point to area sources in TNO or mainly due to incorrect emission ratios for the area sources?
Specific comments
Suggested edits and comments are embedded in the manuscript .pdf. Blue highlights indicate those that are language oriented and yellow for science/conceptual issues.
-
AC2: 'Reply on RC2', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC2-supplement.pdf
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AC3: 'Reply on RC2 supplement', Fabian Maier, 27 Apr 2024
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1237/egusphere-2023-1237-AC3-supplement.pdf
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Fabian Manuel Maier
Ingeborg Levin
Sébastien Conil
Maksym Gachkivskyi
Hugo Denier van der Gon
Samuel Hammer
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
(1412 KB) - Metadata XML