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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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AMT | Articles | Volume 11, issue 4
Atmos. Meas. Tech., 11, 1937–1946, 2018
https://doi.org/10.5194/amt-11-1937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 1937–1946, 2018
https://doi.org/10.5194/amt-11-1937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jinsol Kim on behalf of the Authors (08 Feb 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Feb 2018) by Thomas F. Hanisco
RR by Anonymous Referee #1 (02 Mar 2018)
RR by Anonymous Referee #2 (03 Mar 2018)
ED: Publish as is (03 Mar 2018) by Thomas F. Hanisco
Publications Copernicus
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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.
The newest generation of air quality sensors is small, low cost, and easy to deploy. These...
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