The Berkeley Environmental Air-quality and CO 2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO 2 accuracy

Delaria, Erin R.; Kim, Jinsol; Fitzmaurice, Helen L.; Newman, Catherine; Wooldridge, Paul J.; Worthington, Kevin; Cohen, Ronald C.

The majority of global anthropogenic inline-formulaCO2 emissions originate in cities. We have proposed that dense networks are a strategy for tracking changes to the processes contributing to urban inline-formulaCO2 emissions and suggested that a network with inline-formula∼ 2 km measurement spacing and inline-formula∼ 1 ppm node-to-node precision would be effective at constraining point, line, and area sources within cities. Here, we report on an assessment of the accuracy of the Berkeley Environmental Air-quality and COinline-formula2 Network (BEACOinline-formula2N) inline-formulaCO2 measurements over several years of deployment. We describe a new procedure for improving network accuracy that accounts for and corrects the temperature-dependent zero offset of the Vaisala CarboCap GMP343 inline-formulaCO2 sensors used. With this correction we show that a total error of 1.6 ppm or less can be achieved for networks that have a calibrated reference location and 3.6 ppm for networks without a calibrated reference.

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Delaria, Erin R. / Kim, Jinsol / Fitzmaurice, Helen L. / et al: The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy. 2021. Copernicus Publications.

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