Articles | Volume 11, issue 4
https://doi.org/10.5194/amt-11-1937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-1937-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Apr 2018
Research article |
| 06 Apr 2018
| 06 Apr 2018
The BErkeley Atmospheric CO2 Observation Network: field calibration and evaluation of low-cost air quality sensors
Jinsol Kim
Department of Earth and Planetary Science, University of California
Berkeley, Berkeley, CA 94720, USA
Alexis A. Shusterman
Department of Chemistry, University of California Berkeley, Berkeley,
CA 94720, USA
Kaitlyn J. Lieschke
Department of Chemistry, University of California Berkeley, Berkeley,
CA 94720, USA
Catherine Newman
Department of Chemistry, University of California Berkeley, Berkeley,
CA 94720, USA
Department of Earth and Planetary Science, University of California
Berkeley, Berkeley, CA 94720, USA
Department of Chemistry, University of California Berkeley, Berkeley,
CA 94720, USA
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Latest update: 22 Nov 2024
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...
