Articles | Volume 25, issue 1
https://doi.org/10.5194/acp-25-397-2025
https://doi.org/10.5194/acp-25-397-2025
Research article
 | 
13 Jan 2025
Research article |  | 13 Jan 2025

A CO2–Δ14CO2 inversion setup for estimating European fossil CO2 emissions

Carlos Gómez-Ortiz, Guillaume Monteil, Sourish Basu, and Marko Scholze

Data sets

Biosphere-atmosphere exchange fluxes for CO2 from the Vegetation Photosynthesis and Respiration Model VPRM for 2006-2022 Christoph Gerbig and Frank-Thomas Koch https://doi.org/10.18160/VX78-HVA1

European anthropogenic CO2emissions based on EDGARv4.3, BP statistics 2021 and CarbonMonitor for 2019-2020 Christoph Gerbig and Frank-Thomas Koch https://doi.org/10.18160/GFNT-5Y47

Input data: A CO2 - Δ14CO2 inversion setup for estimating European fossil CO2 emissions Carlos Gómez-Ortiz and Sourish Basu https://doi.org/10.6084/m9.figshare.24307162

ODIAC Fossil Fuel CO2 Emissions Dataset Tomohiro Oda and Shamil Maksyutov https://doi.org/10.17595/20170411.001

European hourly NEE, GPP and total respiration for 2010- 2022 based on LPJ-GUESS (generated in 2023) Zhendong Wu https://doi.org/10.18160/P52C-1QJM

Model code and software

Lund University Modular Inversion Algorithm Guillaume Monteil et al. https://doi.org/10.5281/zenodo.8426217

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Short summary
In this paper, we test new implementations of our inverse modeling tool to estimate the weekly and regional CO2 emissions from fossil fuels in Europe. We use synthetic atmospheric observations of CO2 and radiocarbon (14CO2) to trace emissions to their sources, while separating the natural and fossil CO2. Our tool accurately estimates fossil CO2 emissions in densely monitored regions like western/central Europe. This approach aids in developing strategies for reducing CO2 emissions.
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