Articles | Volume 11, issue 4
Atmos. Meas. Tech., 11, 1937–1946, 2018
https://doi.org/10.5194/amt-11-1937-2018
Atmos. Meas. Tech., 11, 1937–1946, 2018
https://doi.org/10.5194/amt-11-1937-2018
Research article
06 Apr 2018
Research article | 06 Apr 2018

The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors

Jinsol Kim et al.

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Cited articles

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Cross, E. S., Williams, L. R., Lewis, D. K., Magoon, G. R., Onasch, T. B., Kaminsky, M. L., Worsnop, D. R., and Jayne, J. T.: Use of electrochemical sensors for measurement of air pollution: correcting interference response and validating measurements, Atmos. Meas. Tech., 10, 3575–3588, https://doi.org/10.5194/amt-10-3575-2017, 2017. 
Dallmann, T. R., Harley, R. A., and Kirchstetter, T. W.: Effects of Diesel Particle Filter Retrofits and Accelerated Fleet Turnover on Drayage Truck Emissions at the Port of Oakland, Environ. Sci. Technol., 10773–10779, 2011. 
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Short summary
The newest generation of air quality sensors is small, low cost, and easy to deploy. These sensors are an attractive option for developing dense observation networks in support of regulatory activities and scientific research. However, these sensors are difficult to interpret. Here we describe a novel calibration strategy for a set of low cost sensors and demonstrate this calibration on a subset of the sensors comprising BEACO2N, a distributed network at the San Francisco Bay Area.