Articles | Volume 22, issue 6
Research article
24 Mar 2022
Research article |  | 24 Mar 2022

Assessing vehicle fuel efficiency using a dense network of CO2 observations

Helen L. Fitzmaurice, Alexander J. Turner, Jinsol Kim, Katherine Chan, Erin R. Delaria, Catherine Newman, Paul Wooldridge, and Ronald C. Cohen

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The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy
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Subject: Gases | Research Activity: Field Measurements | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
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Cited articles

Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C. H., and Hamburg, S. P.: High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data, Environ. Sci. Technol., 51, 6999–7008., 2017. 
Bay Area Air Quality Management District – BAAQMD: Bay Area Emissions Inventory Summary Report Base Year 2011, (last access: 15 March 2022), 2015. 
Bishop, G. A.: Does California's EMFAC2017 vehicle emissions model underpredict California light-duty gasoline vehicle NOx emissions?, J. Air Waste Ma., 71, 597–606,, 2021. 
Boswell, M. R. and Madilyn Jacobson, A. R.: 2019 Report on the State of Climate Action Plans in California, (last access: 12 January 2022), 2019. 
California Air Resources Board: PROGRESS REPORT: California's Sustainable Communities and Climate Protection Act, (November), 96, (last access: 12 January 2022), 2018. 
Short summary
On-road emissions are thought to vary widely from existing predictions, as the effects of the age of the vehicle fleet, the performance of emission control systems, and variations in speed are difficult to assess under ambient driving conditions. We present an observational approach to characterize on-road emissions and show that the method is consistent with other approaches to within ~ 3 %.
Final-revised paper