Articles | Volume 14, issue 8
https://doi.org/10.5194/amt-14-5487-2021
© Author(s) 2021. 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-14-5487-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Aug 2021
Research article |
| 12 Aug 2021
| 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
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
Jinsol Kim
Department of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, USA
Helen L. Fitzmaurice
Department of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, USA
Catherine Newman
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
Paul J. Wooldridge
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
Kevin Worthington
Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USA
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
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- Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
- Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. 10.1016/j.egyr.2023.04.047
- Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
- Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris J. Lian et al. 10.5194/amt-17-5821-2024
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- Assessing vehicle fuel efficiency using a dense network of CO2 observations H. Fitzmaurice et al. 10.5194/acp-22-3891-2022
- Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
- Design and performance of indium seals for size-constrained tunable laser spectrometers F. Winiberg et al. 10.1063/5.0206815
- Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al. 10.1021/acsestair.5c00069
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- How to go beyond C1 products with electrochemical reduction of CO2 D. Li et al. 10.1039/D1SE00861G
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. 10.1021/acs.est.4c08855
- Effect of Three-Dimensional-Printed Thermoplastics Used in Sensor Housings on Common Atmospheric Trace Gasses T. Mangin et al. 10.3390/s24082610
- Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al. 10.1021/acs.est.4c11392
19 citations as recorded by crossref.
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Toward Establishing a Low-cost UAV Coordinated Carbon Observation Network (LUCCN): First Integrated Campaign in China D. Yang et al. 10.1007/s00376-023-3107-5
- Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
- Research overview of urban carbon emission measurement and future prospect for GHG monitoring network T. Xiong et al. 10.1016/j.egyr.2023.04.047
- Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
- Air Quality Sensor Experts Convene: Current Quality Assurance Considerations for Credible Data K. Barkjohn et al. 10.1021/acsestair.4c00125
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
- Development and deployment of a mid-cost CO2 sensor monitoring network to support atmospheric inverse modeling for quantifying urban CO2 emissions in Paris J. Lian et al. 10.5194/amt-17-5821-2024
- Sustained Performance of Low-Cost Air Quality Sensors in Long-Term Deployments A. Winter et al. 10.1021/acssensors.5c00566
- Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald 10.5194/gmd-17-1885-2024
- Assessing vehicle fuel efficiency using a dense network of CO2 observations H. Fitzmaurice et al. 10.5194/acp-22-3891-2022
- Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
- Design and performance of indium seals for size-constrained tunable laser spectrometers F. Winiberg et al. 10.1063/5.0206815
- Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al. 10.1021/acsestair.5c00069
- The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al. 10.5194/acp-25-2781-2025
- How to go beyond C1 products with electrochemical reduction of CO2 D. Li et al. 10.1039/D1SE00861G
- A Scalable Calibration Method for Enhanced Accuracy in Dense Air Quality Monitoring Networks A. Winter et al. 10.1021/acs.est.4c08855
- Effect of Three-Dimensional-Printed Thermoplastics Used in Sensor Housings on Common Atmospheric Trace Gasses T. Mangin et al. 10.3390/s24082610
- Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al. 10.1021/acs.est.4c11392
Latest update: 03 Jul 2025
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.
The use of a dense network of low-cost CO2 sensors is an attractive option for measuring CO2...
