Articles | Volume 14, issue 8
Atmos. Meas. Tech., 14, 5487–5500, 2021
https://doi.org/10.5194/amt-14-5487-2021
Atmos. Meas. Tech., 14, 5487–5500, 2021
https://doi.org/10.5194/amt-14-5487-2021

Research article 12 Aug 2021

Research article | 12 Aug 2021

The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy

Erin R. Delaria et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-120', Anonymous Referee #1, 14 Jun 2021
    • AC2: 'Reply on RC1', Erin Delaria, 13 Jul 2021
  • RC2: 'Comment on amt-2021-120', Anonymous Referee #2, 07 Jul 2021
    • AC1: 'Reply on RC2', Erin Delaria, 13 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Erin Delaria on behalf of the Authors (13 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (18 Jul 2021) by William R. Simpson
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Short summary
The use of a dense network of low-cost CO2 sensors is an attractive option for measuring CO2 emissions in cities. However, these low-cost sensors are also subject to uncertainties. Here, we describe a novel method of field calibration for correcting temperature-related errors in the CO2 sensors deployed in the BEACO2N network. We show that with this temperature correction, we can achieve a sufficiently low network error to allow for the evaluation of CO2 emissions at a neighborhood scale.