Articles | Volume 16, issue 21
Atmos. Chem. Phys., 16, 13465–13475, 2016
Atmos. Chem. Phys., 16, 13465–13475, 2016

Research article 01 Nov 2016

Research article | 01 Nov 2016

Network design for quantifying urban CO2 emissions: assessing trade-offs between precision and network density

Alexander J. Turner et al.

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Cited articles

Bastien, L. A., McDonald, B. C., Brown, N. J., and Harley, R. A.: High-resolution mapping of sources contributing to urban air pollution using adjoint sensitivity analysis: benzene and diesel black carbon, Environ. Sci. Technol., 49, 7276–7284,, 2015.
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Deschênes, O. and Greenstone, M.: Climate Change, Mortality, and Adaptation: Evidence from Annual Fluctuations in Weather in the US, American Economic Journal: Applied Economics, 3, 152–185,, 2011.
European Commission: Emission Database for Global Atmospheric Research (EDGAR), release version 4.2, Tech. rep., Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL), 2011.
Gately, C. K., Hutyra, L. R., Wing, I. S., and Brondfield, M. N.: A bottom up approach to on-road CO2 emissions estimates: improved spatial accuracy and applications for regional planning, Environ. Sci. Technol., 47, 2423–30,, 2013.
Short summary
Our paper investigates the ability of different types of observational networks to estimate urban CO2 emissions. We have quantified the trade-off between precision and network density for estimating urban greenhouse gas emissions. Our results show that different observing systems may fall into noise- or site-limited regimes where reducing the uncertainty in the estimated emissions is governed by a single factor.
Final-revised paper