Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-11-1291-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
22 Aug 2019
Review article |
| 22 Aug 2019
| 22 Aug 2019
The Utah urban carbon dioxide (UUCON) and Uintah Basin greenhouse gas networks: instrumentation, data, and measurement uncertainty
Ryan Bares
CORRESPONDING AUTHOR
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
Global Change and Sustainability Center, University of Utah, Salt Lake City, UT, USA
Logan Mitchell
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
Ben Fasoli
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
David R. Bowling
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
School of Biological Sciences, University of Utah, Salt Lake City, UT, USA
Douglas Catharine
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
Maria Garcia
School of Biological Sciences, University of Utah, Salt Lake City, UT, USA
Byron Eng
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
Jim Ehleringer
School of Biological Sciences, University of Utah, Salt Lake City, UT, USA
John C. Lin
Department Atmospheric Sciences, University of Utah, Salt Lake City, UT, USA
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Latest update: 24 Apr 2024
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.
We overview two near-surface trace gas measurement networks with the aim of describing...
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