Articles | Volume 16, issue 11
https://doi.org/10.5194/acp-16-6735-2016
https://doi.org/10.5194/acp-16-6735-2016
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, Grégoire Broquet, Deborah J. Clifford, Frédéric Chevallier, David M. Butterfield, Isabelle Pison, Michel Ramonet, Jean-Daniel Paris, and Philippe Ciais

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Cited articles

Abushammala, M. F. M., Basri, N. E. A., and Younes, M. K.: Seasonal Variation of Landfill Methane and Carbon Dioxide Emissions in a Tropical Climate, International Journal of Environmental Science and Development, 7, 586–590, 2016.
Ammoura, L., Xueref-Remy, I., Gros, V., Baudic, A., Bonsang, B., Petit, J.-E., Perrussel, O., Bonnaire, N., Sciare, J., and Chevallier, F.: Atmospheric measurements of ratios between CO2 and co-emitted species from traffic: a tunnel study in the Paris megacity, Atmos. Chem. Phys., 14, 12871–12882, https://doi.org/10.5194/acp-14-12871-2014, 2014.
Aulagnier, C., Rayner, P., Ciais, P., Vautard, R., Rivier, L., and Ramonet, M.: Is the recent build-up of atmospheric CO2 over Europe reproduced by models. Part 2: an overview with the atmospheric mesoscale transport model CHIMERE, Tellus B, 62, 14–25, https://doi.org/10.1111/j.1600-0889.2009.00443.x, 2010.
Barlow, J. F., Halios, C. H., Lane, S. E., and Wood, C. R.: Observations of urban boundary layer structure during a strong urban heat island event, Environ. Fluid Mech., 15, 1–26, https://doi.org/10.1007/s10652-014-9335-6, 2014.
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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.
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