The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy

The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy

<p>The majority of global anthropogenic <span class="inline-formula">CO<sub>2</sub></span> emissions originate in cities. We have proposed that dense networks are a strategy for tracking changes to the processes contributing to urban <span class="inlin...

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Main Authors: E. R. Delaria, J. Kim, H. L. Fitzmaurice, C. Newman, P. J. Wooldridge, K. Worthington, R. C. Cohen
Format: Article
Language:English
Published: Copernicus Publications 2021-08-01
Series:Atmospheric Measurement Techniques
Online Access:https://amt.copernicus.org/articles/14/5487/2021/amt-14-5487-2021.pdf
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spelling doaj-908cce81b7454d44ac26cd8c4b7bc1a02021-08-12T05:26:10ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482021-08-01145487550010.5194/amt-14-5487-2021The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracyE. R. Delaria0J. Kim1H. L. Fitzmaurice2C. Newman3P. J. Wooldridge4K. Worthington5R. C. Cohen6R. C. Cohen7Department of Chemistry, University of California Berkeley, Berkeley, CA 94720, USADepartment of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, USADepartment of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, USADepartment of Chemistry, University of California Berkeley, Berkeley, CA 94720, USADepartment of Chemistry, University of California Berkeley, Berkeley, CA 94720, USADepartment of Chemistry, University of California Berkeley, Berkeley, CA 94720, USADepartment of Chemistry, University of California Berkeley, Berkeley, CA 94720, USADepartment of Earth and Planetary Science, University of California Berkeley, Berkeley, CA 94720, USA<p>The majority of global anthropogenic <span class="inline-formula">CO<sub>2</sub></span> emissions originate in cities. We have proposed that dense networks are a strategy for tracking changes to the processes contributing to urban <span class="inline-formula">CO<sub>2</sub></span> emissions and suggested that a network with <span class="inline-formula">∼</span> 2 km measurement spacing and <span class="inline-formula">∼</span> 1 ppm node-to-node precision would be effective at constraining point, line, and area sources within cities. Here, we report on an assessment of the accuracy of the Berkeley Environmental Air-quality and CO<span class="inline-formula"><sub>2</sub></span> Network (BEACO<span class="inline-formula"><sub>2</sub></span>N) <span class="inline-formula">CO<sub>2</sub></span> measurements over several years of deployment. We describe a new procedure for improving network accuracy that accounts for and corrects the temperature-dependent zero offset of the Vaisala CarboCap GMP343 <span class="inline-formula">CO<sub>2</sub></span> sensors used. With this correction we show that a total error of 1.6 ppm or less can be achieved for networks that have a calibrated reference location and 3.6 ppm for networks without a calibrated reference.</p>https://amt.copernicus.org/articles/14/5487/2021/amt-14-5487-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author E. R. Delaria
J. Kim
H. L. Fitzmaurice
C. Newman
P. J. Wooldridge
K. Worthington
R. C. Cohen
R. C. Cohen
spellingShingle E. R. Delaria
J. Kim
H. L. Fitzmaurice
C. Newman
P. J. Wooldridge
K. Worthington
R. C. Cohen
R. C. Cohen
The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
Atmospheric Measurement Techniques
author_facet E. R. Delaria
J. Kim
H. L. Fitzmaurice
C. Newman
P. J. Wooldridge
K. Worthington
R. C. Cohen
R. C. Cohen
author_sort E. R. Delaria
title The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
title_short The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
title_full The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
title_fullStr The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
title_full_unstemmed The Berkeley Environmental Air-quality and CO<sub>2</sub> Network: field calibrations of sensor temperature dependence and assessment of network scale CO<sub>2</sub> accuracy
title_sort berkeley environmental air-quality and co<sub>2</sub> network: field calibrations of sensor temperature dependence and assessment of network scale co<sub>2</sub> accuracy
publisher Copernicus Publications
series Atmospheric Measurement Techniques
issn 1867-1381
1867-8548
publishDate 2021-08-01
description <p>The majority of global anthropogenic <span class="inline-formula">CO<sub>2</sub></span> emissions originate in cities. We have proposed that dense networks are a strategy for tracking changes to the processes contributing to urban <span class="inline-formula">CO<sub>2</sub></span> emissions and suggested that a network with <span class="inline-formula">∼</span> 2 km measurement spacing and <span class="inline-formula">∼</span> 1 ppm node-to-node precision would be effective at constraining point, line, and area sources within cities. Here, we report on an assessment of the accuracy of the Berkeley Environmental Air-quality and CO<span class="inline-formula"><sub>2</sub></span> Network (BEACO<span class="inline-formula"><sub>2</sub></span>N) <span class="inline-formula">CO<sub>2</sub></span> measurements over several years of deployment. We describe a new procedure for improving network accuracy that accounts for and corrects the temperature-dependent zero offset of the Vaisala CarboCap GMP343 <span class="inline-formula">CO<sub>2</sub></span> sensors used. With this correction we show that a total error of 1.6 ppm or less can be achieved for networks that have a calibrated reference location and 3.6 ppm for networks without a calibrated reference.</p>
url https://amt.copernicus.org/articles/14/5487/2021/amt-14-5487-2021.pdf
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