Articles | Volume 15, issue 22
https://doi.org/10.5194/acp-15-12705-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-12705-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Estimation of continuous anthropogenic CO2: model-based evaluation of CO2, CO, δ13C(CO2) and Δ14C(CO2) tracer methods
S. N. Vardag
CORRESPONDING AUTHOR
Institut für Umweltphysik, Heidelberg University, Germany
C. Gerbig
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
G. Janssens-Maenhout
European Commission, Joint Research Centre, Ispra, Via Fermi 2749, 21027 Ispra, Italy
Institut für Umweltphysik, Heidelberg University, Germany
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30 citations as recorded by crossref.
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- Novel quantification of regional fossil fuel CO2reductions during COVID-19 lockdowns using atmospheric oxygen measurements P. Pickers et al. 10.1126/sciadv.abl9250
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- Atmospheric radiocarbon measurements to quantify CO<sub>2</sub> emissions in the UK from 2014 to 2015 A. Wenger et al. 10.5194/acp-19-14057-2019
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- Anthropogenic Methane Emission and Its Partitioning for the Yangtze River Delta Region of China C. Hu et al. 10.1029/2018JG004850
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- Toward consistency between trends in bottom-up CO<sub>2</sub> emissions and top-down atmospheric measurements in the Los Angeles megacity S. Newman et al. 10.5194/acp-16-3843-2016
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- Implications of Emission Sources and Biosphere Exchange on Temporal Variations of CO2 and δ13C Using Continuous Atmospheric Measurements at Shadnagar (India) M. Pathakoti et al. 10.1029/2022JD036472
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- The Wintertime Covariation of CO2 and Criteria Pollutants in an Urban Valley of the Western United States R. Bares et al. 10.1002/2017JD027917
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Short summary
In this model sensitivity study we compare and evaluate the surrogate tracers CO2, CO, δ13C-CO2 and Δ14C-CO2 for estimating continuous anthropogenic CO2. The results can be used to optimize the measurement network design with respect to the partitioning of total CO2 into biospheric and anthropogenic CO2 contributions. This enables improvement and validation of highly resolved emission inventories using atmospheric observation and regional modeling.
In this model sensitivity study we compare and evaluate the surrogate tracers CO2, CO, δ13C-CO2...
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