Articles | Volume 13, issue 14
https://doi.org/10.5194/bg-13-4237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-4237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluation of 4 years of continuous δ13C(CO2) data using a moving Keeling plot method
Sanam Noreen Vardag
CORRESPONDING AUTHOR
Department of Physics and Astronomy, Institut für Umweltphysik,
Heidelberg University, Heidelberg, Germany
Samuel Hammer
Department of Physics and Astronomy, Institut für Umweltphysik,
Heidelberg University, Heidelberg, Germany
Ingeborg Levin
Department of Physics and Astronomy, Institut für Umweltphysik,
Heidelberg University, Heidelberg, Germany
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- Unveiling the changes in urban atmospheric CO2 in the time of COVID-19 pandemic: A case study of Florence (Italy) S. Venturi et al. 10.1016/j.scitotenv.2021.148877
- Capture of soil respiration for higher photosynthesis with lower CO2 emission Z. Liu et al. 10.1016/j.jclepro.2019.119029
- Emission characteristics of atmospheric carbon dioxide in Xi'an, China based on the measurements of CO2 concentration, △14C and δ13C P. Wang et al. 10.1016/j.scitotenv.2017.11.125
- Towards understanding the variability in source contribution of CO2 using high-resolution simulations of atmospheric δ13CO2 signatures in the Greater Toronto Area, Canada S. Domenikos et al. 10.1016/j.atmosenv.2019.116877
- Determining the Isotopic Composition of Surface Water Vapor Flux From High‐Frequency Observations Using Flux‐Gradient and Keeling Plot Methods Y. Hu et al. 10.1029/2020EA001304
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21 citations as recorded by crossref.
- 20th century changes in carbon isotopes and water-use efficiency: tree-ring-based evaluation of the CLM4.5 and LPX-Bern models K. Keller et al. 10.5194/bg-14-2641-2017
- Sources and priming of nitrous oxide production across a range of moisture contents in a soil with high organic matter C. Roman‐Perez & G. Hernandez‐Ramirez 10.1002/jeq2.20172
- Tracing CO2 emission characteristics in Central China based on the simultaneous measurements of atmospheric CO2, CO and δ13C L. Xia et al. 10.1016/j.jes.2024.09.024
- IRIS analyser assessment reveals sub-hourly variability of isotope ratios in carbon dioxide at Baring Head, New Zealand's atmospheric observatory in the Southern Ocean P. Sperlich et al. 10.5194/amt-15-1631-2022
- Methane sources from waste and natural gas sectors detected in Pune, India, by concentration and isotopic analysis A. Metya et al. 10.1016/j.scitotenv.2022.156721
- Atmospheric methane isotopes identify inventory knowledge gaps in the Surat Basin, Australia, coal seam gas and agricultural regions B. Kelly et al. 10.5194/acp-22-15527-2022
- Interpreting the <sup>13</sup>C ∕ <sup>12</sup>C ratio of carbon dioxide in an urban airshed in the Yangtze River Delta, China J. Xu et al. 10.5194/acp-17-3385-2017
- Near-surface atmospheric concentrations of greenhouse gases (CO2 and CH4) in Florence urban area: Inferring emitting sources through carbon isotopic analysis S. Venturi et al. 10.1016/j.uclim.2021.100968
- Unveiling the changes in urban atmospheric CO2 in the time of COVID-19 pandemic: A case study of Florence (Italy) S. Venturi et al. 10.1016/j.scitotenv.2021.148877
- Capture of soil respiration for higher photosynthesis with lower CO2 emission Z. Liu et al. 10.1016/j.jclepro.2019.119029
- Emission characteristics of atmospheric carbon dioxide in Xi'an, China based on the measurements of CO2 concentration, △14C and δ13C P. Wang et al. 10.1016/j.scitotenv.2017.11.125
- Towards understanding the variability in source contribution of CO2 using high-resolution simulations of atmospheric δ13CO2 signatures in the Greater Toronto Area, Canada S. Domenikos et al. 10.1016/j.atmosenv.2019.116877
- Determining the Isotopic Composition of Surface Water Vapor Flux From High‐Frequency Observations Using Flux‐Gradient and Keeling Plot Methods Y. Hu et al. 10.1029/2020EA001304
- Isotopic and Concentration Analyses of CO2 and CH4 in Association With the Eddy‐Covariance Based Measurements in a Tropical Forest of Northeast India A. Metya et al. 10.1029/2020EA001504
- Analysis of regional CO2 contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C S. Pieber et al. 10.5194/acp-22-10721-2022
- A decade of CH<sub>4</sub>, CO and N<sub>2</sub>O in situ measurements at Lauder, New Zealand: assessing the long-term performance of a Fourier transform infrared trace gas and isotope analyser D. Smale et al. 10.5194/amt-12-637-2019
- Using in situ measurements of δ13C in methane to investigate methane emissions from the western Canada sedimentary basin S. Ars et al. 10.1016/j.aeaoa.2024.100286
- Quantifying CH4 concentration spikes above baseline and attributing CH4 sources to hydraulic fracturing activities by continuous monitoring at an off-site tower S. Russell et al. 10.1016/j.atmosenv.2020.117452
- Pollution Events at the High-Altitude Mountain Site Zugspitze-Schneefernerhaus (2670 m a.s.l.), Germany H. Ghasemifard et al. 10.3390/atmos10060330
- Evaluation of the CALPUFF model performance for the estimation of the urban ecosystem CO2 flux Y. Bezyk et al. 10.1016/j.apr.2020.12.013
- Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia X. Lu et al. 10.5194/acp-21-10527-2021
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
Using a synthetic dataset, we show how to best determine the mean source signature, δS, at high temporal resolution using continuous CO2 and δ13C(CO2) data. We apply this method to measured data from Heidelberg and find a distinct seasonal cycle of δS. Disentangling this record into its source components requires the isotopic end members of CO2 from the biosphere and those from the fuel mix. They can be estimated from the δS record, but only when their relative share is close to 100 %.
Using a synthetic dataset, we show how to best determine the mean source signature, δS, at high...
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