Articles | Volume 16, issue 11
https://doi.org/10.5194/acp-16-6735-2016
© 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-16-6735-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Jun 2016
Research article |
| 03 Jun 2016
Analysis of the potential of near-ground measurements of CO2 and CH4 in London, UK, for the monitoring of city-scale emissions using an atmospheric transport model
Alex Boon
Department of Meteorology, University of Reading, Reading, Berkshire RG6
6BB, UK
Grégoire Broquet
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
Deborah J. Clifford
Department of Meteorology, University of Reading, Reading, Berkshire RG6
6BB, UK
Frédéric Chevallier
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
David M. Butterfield
National Physical Laboratory, Teddington, Middlesex TW11 0LW, UK
Isabelle Pison
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
Michel Ramonet
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
Jean-Daniel Paris
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ,
UMR8212, IPSL, Gif-sur-Yvette, France
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Cited
24 citations as recorded by crossref.
- Anthropogenic CH4 Emissions in the Yangtze River Delta Based on A “Top-Down” Method W. Huang et al. 10.3390/atmos10040185
- Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX) J. Turnbull et al. 10.1021/acs.est.8b05552
- Sensitivity to the sources of uncertainties in the modeling of atmospheric CO<sub>2</sub> concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
- A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
- CO2, CH4, and CO Emission Sources and Their Characteristics in the Lamto Ecological Reserve (Côte d’Ivoire) D. Tiemoko et al. 10.3390/atmos14101533
- The first 1-year-long estimate of the Paris region fossil fuel CO<sub>2</sub> emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
- 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
- Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
- Estimates of CO<sub>2</sub> fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
- The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
- Optimizing a dynamic fossil fuel CO<sub>2</sub> emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO<sub>2</sub>, CO, NO<sub><i>x</i></sub>, and SO<sub>2</sub> I. Super et al. 10.5194/gmd-13-2695-2020
- The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations I. Super et al. 10.1016/j.aeaoa.2021.100119
- Characteristics of the methane (CH4) mole fraction in a typical city and suburban site in the Yangtze River Delta, China X. Qing et al. 10.1016/j.apr.2022.101498
- Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
- Reducing errors in aircraft atmospheric inversion estimates of point-source emissions: the Aliso Canyon natural gas leak as a natural tracer experiment S. Gourdji et al. 10.1088/1748-9326/aab049
- Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal and Seasonal Pattern Comparisons to Anthropogenic CO2 Emissions in the Greater Tokyo Area Q. Wang et al. 10.3390/rs13112037
- Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
- Origins and trends in ethane and propane in the United Kingdom from 1993 to 2012 R. Derwent et al. 10.1016/j.atmosenv.2017.02.030
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. 10.1016/j.jes.2024.10.027
- Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. 10.5194/acp-19-13809-2019
- Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
24 citations as recorded by crossref.
- Anthropogenic CH4 Emissions in the Yangtze River Delta Based on A “Top-Down” Method W. Huang et al. 10.3390/atmos10040185
- Synthesis of Urban CO2 Emission Estimates from Multiple Methods from the Indianapolis Flux Project (INFLUX) J. Turnbull et al. 10.1021/acs.est.8b05552
- Sensitivity to the sources of uncertainties in the modeling of atmospheric CO<sub>2</sub> concentration within and in the vicinity of Paris J. Lian et al. 10.5194/acp-21-10707-2021
- Improvements of Simulating Urban Atmospheric CO2 Concentration by Coupling with Emission Height and Dynamic Boundary Layer Variations in WRF-STILT Model Y. Peng et al. 10.3390/atmos14020223
- An atmospheric inversion over the city of Cape Town: sensitivity analyses A. Nickless et al. 10.5194/acp-19-7789-2019
- A multi-model approach to monitor emissions of CO<sub>2</sub> and CO from an urban–industrial complex I. Super et al. 10.5194/acp-17-13297-2017
- CO2, CH4, and CO Emission Sources and Their Characteristics in the Lamto Ecological Reserve (Côte d’Ivoire) D. Tiemoko et al. 10.3390/atmos14101533
- The first 1-year-long estimate of the Paris region fossil fuel CO<sub>2</sub> emissions based on atmospheric inversion J. Staufer et al. 10.5194/acp-16-14703-2016
- 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
- Variation of carbon dioxide mole fraction at a typical urban area in the Yangtze River Delta, China S. Fang et al. 10.1016/j.atmosres.2021.105884
- Estimates of CO<sub>2</sub> fluxes over the city of Cape Town, South Africa, through Bayesian inverse modelling A. Nickless et al. 10.5194/acp-18-4765-2018
- The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
- Optimizing a dynamic fossil fuel CO<sub>2</sub> emission model with CTDAS (CarbonTracker Data Assimilation Shell, v1.0) for an urban area using atmospheric observations of CO<sub>2</sub>, CO, NO<sub><i>x</i></sub>, and SO<sub>2</sub> I. Super et al. 10.5194/gmd-13-2695-2020
- The impact of temporal variability in prior emissions on the optimization of urban anthropogenic emissions of CO2, CH4 and CO using in-situ observations I. Super et al. 10.1016/j.aeaoa.2021.100119
- Characteristics of the methane (CH4) mole fraction in a typical city and suburban site in the Yangtze River Delta, China X. Qing et al. 10.1016/j.apr.2022.101498
- Uncertainty analysis of a European high-resolution emission inventory of CO<sub>2</sub> and CO to support inverse modelling and network design I. Super et al. 10.5194/acp-20-1795-2020
- Reducing errors in aircraft atmospheric inversion estimates of point-source emissions: the Aliso Canyon natural gas leak as a natural tracer experiment S. Gourdji et al. 10.1088/1748-9326/aab049
- Sub-Daily Natural CO2 Flux Simulation Based on Satellite Data: Diurnal and Seasonal Pattern Comparisons to Anthropogenic CO2 Emissions in the Greater Tokyo Area Q. Wang et al. 10.3390/rs13112037
- Near-real-time CO2 fluxes from CarbonTracker Europe for high-resolution atmospheric modeling A. van der Woude et al. 10.5194/essd-15-579-2023
- Origins and trends in ethane and propane in the United Kingdom from 1993 to 2012 R. Derwent et al. 10.1016/j.atmosenv.2017.02.030
- Using urban-suburban difference of atmospheric CO2 to evaluate carbon neutrality capacity in Hangzhou, China B. Qi et al. 10.1016/j.jes.2024.10.027
- Analysis of temporal and spatial variability of atmospheric CO<sub>2</sub> concentration within Paris from the GreenLITE™ laser imaging experiment J. Lian et al. 10.5194/acp-19-13809-2019
- Evaluation of the WRF-UCM mesoscale model and ECMWF global operational forecasts over the Paris region in the prospect of tracer atmospheric transport modeling J. Lian et al. 10.1525/elementa.319
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
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Latest update: 21 Nov 2024
Short summary
We measured carbon dioxide and methane concentrations at four near-ground sites located in London, 2012. We investigated the potential for using these measurements, alongside numerical modelling, to help us to understand urban greenhouse gas emissions. Low-level sites were highly sensitive to local emissions, which questions our ability to use measurements from near-ground sites in cities in some modelling applications. A gradient approach was found to be beneficial to reduce model–data errors.
We measured carbon dioxide and methane concentrations at four near-ground sites located in...
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