Articles | Volume 16, issue 24
https://doi.org/10.5194/acp-16-15653-2016
© 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/acp-16-15653-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Exploiting stagnant conditions to derive robust emission ratio estimates for CO2, CO and volatile organic compounds in Paris
Lamia Ammoura
CORRESPONDING AUTHOR
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Irène Xueref-Remy
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Felix Vogel
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Valérie Gros
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Alexia Baudic
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Bernard Bonsang
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
Marc Delmotte
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
LERMA, Unité mixte CNRS-ENS-OP-UCP-UPMC, UMR 8112, 75005 Paris,
France
Frédéric Chevallier
LSCE, Unité mixte CEA-CNRS-UVSQ, UMR 8212, 91191 Gif-sur-Yvette,
France
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Cited
22 citations as recorded by crossref.
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- The Pyrenean Platform for Observation of the Atmosphere: site, long-term dataset, and science M. Lothon et al. 10.5194/amt-17-6265-2024
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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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- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
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- Global atmospheric CO<sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. 10.5194/bg-16-117-2019
- Diurnal, synoptic and seasonal variability of atmospheric CO<sub>2</sub> in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
- Analysis of atmospheric CO2 variability in the Marseille city area and the north-west Mediterranean basin at different time scales I. Xueref-Remy et al. 10.1016/j.aeaoa.2023.100208
- Multi-year observations of variable incomplete combustion in the New York megacity L. Schiferl et al. 10.5194/acp-24-10129-2024
- 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
- Ubiquity of Anthropogenic Terpenoids in Cities Worldwide: Emission Ratios, Emission Quantification and Implications for Urban Atmospheric Chemistry A. Borbon et al. 10.1029/2022JD037566
- Observed decade-long improvement of combustion efficiency in the Yangtze River Delta region in China J. Zhao et al. 10.1088/1748-9326/ad521e
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Analysis of 5.5 years of atmospheric CO2, CH4, CO continuous observations (2014–2020) and their correlations, at the Observatoire de Haute Provence, a station of the ICOS-France national greenhouse gases observation network L. Lelandais et al. 10.1016/j.atmosenv.2022.119020
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- High‐Resolution Lagrangian Inverse Modeling of CO2 Emissions Over the Paris Region During the First 2020 Lockdown Period K. Nalini et al. 10.1029/2021JD036032
- Characterization of the δ 13 C signatures of anthropogenic CO 2 emissions in the Greater Toronto Area, Canada S. Pugliese et al. 10.1016/j.apgeochem.2016.11.003
21 citations as recorded by crossref.
- Using near-road observations of CO, NOy, and CO2 to investigate emissions from vehicles: Evidence for an impact of ambient temperature and specific humidity D. Hall et al. 10.1016/j.atmosenv.2020.117558
- Ground-Based Atmospheric Measurements of CO:CO2 Ratios in Eastern Highland Rim Using a CO Tracer Technique L. Gamage et al. 10.1021/acsearthspacechem.9b00322
- The Pyrenean Platform for Observation of the Atmosphere: site, long-term dataset, and science M. Lothon et al. 10.5194/amt-17-6265-2024
- Comment F. Chevallier & F. Bréon 10.1080/01621459.2017.1419138
- 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
- Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region A. Karion et al. 10.5194/acp-21-6257-2021
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- XCO<sub>2</sub> in an emission hot-spot region: the COCCON Paris campaign 2015 F. Vogel et al. 10.5194/acp-19-3271-2019
- Global atmospheric CO<sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate B. Gaubert et al. 10.5194/bg-16-117-2019
- Diurnal, synoptic and seasonal variability of atmospheric CO<sub>2</sub> in the Paris megacity area I. Xueref-Remy et al. 10.5194/acp-18-3335-2018
- Analysis of atmospheric CO2 variability in the Marseille city area and the north-west Mediterranean basin at different time scales I. Xueref-Remy et al. 10.1016/j.aeaoa.2023.100208
- Multi-year observations of variable incomplete combustion in the New York megacity L. Schiferl et al. 10.5194/acp-24-10129-2024
- 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
- Ubiquity of Anthropogenic Terpenoids in Cities Worldwide: Emission Ratios, Emission Quantification and Implications for Urban Atmospheric Chemistry A. Borbon et al. 10.1029/2022JD037566
- Observed decade-long improvement of combustion efficiency in the Yangtze River Delta region in China J. Zhao et al. 10.1088/1748-9326/ad521e
- Quantifying the Impact of the COVID-19 Pandemic Restrictions on CO, CO2, and CH4 in Downtown Toronto Using Open-Path Fourier Transform Spectroscopy Y. You et al. 10.3390/atmos12070848
- The Facility Level and Area Methane Emissions inventory for the Greater Toronto Area (FLAME-GTA) N. Mostafavi Pak et al. 10.1016/j.atmosenv.2021.118319
- Analysis of 5.5 years of atmospheric CO2, CH4, CO continuous observations (2014–2020) and their correlations, at the Observatoire de Haute Provence, a station of the ICOS-France national greenhouse gases observation network L. Lelandais et al. 10.1016/j.atmosenv.2022.119020
- Improved definition of prior uncertainties in CO2 and CO fossil fuel fluxes and its impact on multi-species inversion with GEOS-Chem (v12.5) I. Super et al. 10.5194/gmd-17-7263-2024
- Towards sector-based attribution using intra-city variations in satellite-based emission ratios between CO2 and CO D. Wu et al. 10.5194/acp-22-14547-2022
- High‐Resolution Lagrangian Inverse Modeling of CO2 Emissions Over the Paris Region During the First 2020 Lockdown Period K. Nalini et al. 10.1029/2021JD036032
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Latest update: 21 Nov 2024
Short summary
We propose a new approach to estimate urban emission ratios that takes advantage of the enhanced local urban signal in the atmosphere at low wind speed. We apply it to estimate monthly ratios between CO2, CO and some VOCs from atmospheric measurement datasets acquired in the centre of Paris between 2010 and 2014. We find that this approach is little sensitive to the regional background level definition. With this new method, we may reveal spatial and seasonal variability in the ratios in Paris.
We propose a new approach to estimate urban emission ratios that takes advantage of the enhanced...
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