Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1291–1308, 2019
Earth Syst. Sci. Data, 11, 1291–1308, 2019
Review article
22 Aug 2019
Review article | 22 Aug 2019

The Utah urban carbon dioxide (UUCON) and Uintah Basin greenhouse gas networks: instrumentation, data, and measurement uncertainty

Ryan Bares et al.

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Cited articles

Andrews, A. E., Kofler, J. D., Trudeau, M. E., Williams, J. C., Neff, D. H., Masarie, K. A., Chao, D. Y., Kitzis, D. R., Novelli, P. C., Zhao, C. L., Dlugokencky, E. J., Lang, P. M., Crotwell, M. J., Fischer, M. L., Parker, M. J., Lee, J. T., Baumann, D. D., Desai, A. R., Stanier, C. O., De Wekker, S. F. J., Wolfe, D. E., Munger, J. W., and Tans, P. P.: CO2, CO, and CH4 measurements from tall towers in the NOAA Earth System Research Laboratory's Global Greenhouse Gas Reference Network: instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts, Atmos. Meas. Tech., 7, 647–687,, 2014. 
App Note #123: Implementing Zero and Span Adjustments, and the Band Broadening Correction On Measured Data, 3576, 1–6, available at: (last access: 15 August 2018), 1991. 
Baasandorj, M., Hoch, S. W., Bares, R., Lin, J. C., Brown, S. S., Millet, D. B., Martin, R., Kelly, K., Zarzana, K. J., Whiteman, C. D., Dube, W. P., Tonnesen, G., Jaramillo, I. C., and Sohl, J.: Coupling between Chemical and Meteorological Processes under Persistent Cold-Air Pool Conditions: Evolution of Wintertime PM2.5 Pollution Events and N2O5 Observations in Utah's Salt Lake Valley, Environ. Sci. Technol., 51, 5941–5950,, 2017. 
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Bares, R., Lin, J. C., Fasoli, B., Mitchell, L. E., Bowling, D. R., Garcia, M., Catharine, D., and Ehleringer, J. R.: Atmospheric measurements of carbon dioxide (CO2) and methane (CH4) from the state of Utah from 2014-09-10 to 2018-04-01 (NCEI Accession 0183632). Version 1.1. NOAA National Centers for Environmental Information, Dataset,, 2018a. 
Short summary
We overview two near-surface trace gas measurement networks with the aim of describing procedures, locations, and data structure with sufficient detail to serve as an in-depth method reference. Additionally, we developed a novel method for quantifying measurement uncertainty produced by these networks providing insight into appropriate applications of the data and differences in data collection methods. This uncertainty metric is broadly applicable to many trace gas and air quality datasets.