Articles | Volume 18, issue 18
https://doi.org/10.5194/acp-18-13773-2018
© 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/acp-18-13773-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Sep 2018
Research article |
| 28 Sep 2018
| 28 Sep 2018
Observing local CO2 sources using low-cost, near-surface urban monitors
Alexis A. Shusterman
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
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
Paul J. Wooldridge
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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29 citations as recorded by crossref.
- Carbon Monoxide Emissions from the Washington, DC, and Baltimore Metropolitan Area: Recent Trend and COVID-19 Anomaly I. Lopez-Coto et al. 10.1021/acs.est.1c06288
- 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
- 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
- High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport N. Dadheech et al. 10.5194/acp-25-5159-2025
- Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
- Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
- Current Status of Air Quality and Greenhouse Gas Monitoring Networks: Case Studies from Various Countries and Implications for South Korea C. Jung & Y. Kim 10.5572/KOSAE.2024.40.6.704
- Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire A. Kaduwela et al. 10.1080/10962247.2019.1629362
- Atmospheric-level carbon dioxide gas sensing using low-loss mid-IR silicon waveguides P. Lin et al. 10.1364/OE.527421
- Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al. 10.1021/acsestair.5c00069
- New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions F. Mao et al. 10.3389/feart.2019.00221
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. 10.1007/s13143-020-00213-2
- The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
- Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
- Propuesta híbrida para la captación y medición de CO2 edáfico empleando cámaras de incubación estáticas y secuestramiento de gases K. Ostaiza Demera et al. 10.22209/rt.ve2020n2a05
- Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
- Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al. 10.1016/j.envres.2024.120169
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Near-surface atmospheric concentrations of greenhouse gases (CO2 and CH4) in Florence urban area: Inferring emitting sources through carbon isotopic analysis S. Venturi et al. 10.1016/j.uclim.2021.100968
- Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries D. Kim et al. 10.5194/bg-19-1435-2022
- Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al. 10.1021/acs.est.4c11392
- Decadal variations in CO2 during agricultural seasons in India and role of management as sustainable approach A. Singh et al. 10.1016/j.eti.2022.102498
- Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
- The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al. 10.5194/acp-25-2781-2025
- Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al. 10.1029/2020GL090037
- Sustained Reductions of Bay Area CO2 Emissions 2018–2022 N. Asimow et al. 10.1021/acs.est.3c09642
28 citations as recorded by crossref.
- Carbon Monoxide Emissions from the Washington, DC, and Baltimore Metropolitan Area: Recent Trend and COVID-19 Anomaly I. Lopez-Coto et al. 10.1021/acs.est.1c06288
- 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
- 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
- High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport N. Dadheech et al. 10.5194/acp-25-5159-2025
- Tall tower eddy covariance measurements of CO2 fluxes in Vienna, Austria B. Matthews & H. Schume 10.1016/j.atmosenv.2022.118941
- Compact Non-Dispersive Infrared Multi-Gas Sensing Platform for Large Scale Deployment with Sub-ppm Resolution B. Wastine et al. 10.3390/atmos13111789
- Current Status of Air Quality and Greenhouse Gas Monitoring Networks: Case Studies from Various Countries and Implications for South Korea C. Jung & Y. Kim 10.5572/KOSAE.2024.40.6.704
- Development of a low-cost air sensor package and indoor air quality monitoring in a California middle school: Detection of a distant wildfire A. Kaduwela et al. 10.1080/10962247.2019.1629362
- Atmospheric-level carbon dioxide gas sensing using low-loss mid-IR silicon waveguides P. Lin et al. 10.1364/OE.527421
- Plume Detection and Emissions Quantification Potential Using a Dense Sensor Network M. Patel et al. 10.1021/acsestair.5c00069
- New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements J. Pitt et al. 10.1525/elementa.2021.00082
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Mobile-platform measurement of air pollutant concentrations in California: performance assessment, statistical methods for evaluating spatial variations, and spatial representativeness P. Solomon et al. 10.5194/amt-13-3277-2020
- Low-Cost Environmental Sensor Networks: Recent Advances and Future Directions F. Mao et al. 10.3389/feart.2019.00221
- Challenges in Monitoring Atmospheric CO2 Concentrations in Seoul Using Low-Cost Sensors C. Park et al. 10.1007/s13143-020-00213-2
- The Berkeley Environmental Air-quality and CO2 Network: field calibrations of sensor temperature dependence and assessment of network scale CO2 accuracy E. Delaria et al. 10.5194/amt-14-5487-2021
- Evaluation of Low-Cost CO2 Sensors Using Reference Instruments and Standard Gases for Indoor Use Q. Cai et al. 10.3390/s24092680
- Propuesta híbrida para la captación y medición de CO2 edáfico empleando cámaras de incubación estáticas y secuestramiento de gases K. Ostaiza Demera et al. 10.22209/rt.ve2020n2a05
- Observing Annual Trends in Vehicular CO2 Emissions J. Kim et al. 10.1021/acs.est.1c06828
- Site selection and effects of background towers on urban CO2 estimates: A case study from central downtown Zhengzhou in China G. Ren et al. 10.1016/j.envres.2024.120169
- Spatio-temporal variability of atmospheric CO2 and its main causes: A case study in Xi'an city, China P. Wang et al. 10.1016/j.atmosres.2020.105346
- Near-surface atmospheric concentrations of greenhouse gases (CO2 and CH4) in Florence urban area: Inferring emitting sources through carbon isotopic analysis S. Venturi et al. 10.1016/j.uclim.2021.100968
- Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries D. Kim et al. 10.5194/bg-19-1435-2022
- Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al. 10.1021/acs.est.4c11392
- Decadal variations in CO2 during agricultural seasons in India and role of management as sustainable approach A. Singh et al. 10.1016/j.eti.2022.102498
- Critical method needs in measuring greenhouse gas fluxes D. Bastviken et al. 10.1088/1748-9326/ac8fa9
- The ZiCOS-M CO2 sensor network: measurement performance and CO2 variability across Zurich S. Grange et al. 10.5194/acp-25-2781-2025
- Observed Impacts of COVID‐19 on Urban CO2 Emissions A. Turner et al. 10.1029/2020GL090037
1 citations as recorded by crossref.
Latest update: 05 Jul 2025
Short summary
We describe the diversity and heterogeneity of urban CO2 levels observed using the BErkeley Atmospheric CO2 Observation Network, a distributed instrument of > 50 CO2 sensors stationed every ~ 2 km across the San Francisco Bay Area. We demonstrate that relatively simple mathematical techniques, applied to these observations, can be used to detect the small changes in highway CO2 emissions expected to result from upcoming fuel economy regulations, affirming the policy relevance of low-cost sensors.
We describe the diversity and heterogeneity of urban CO2 levels observed using the BErkeley...
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