Articles | Volume 21, issue 8
https://doi.org/10.5194/acp-21-6257-2021
© 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/acp-21-6257-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
Israel Lopez-Coto
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
School of Marine and Atmospheric Sciences, Stony Brook University,
Stony Brook, NY 11794, USA
Sharon M. Gourdji
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
Kimberly Mueller
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
Subhomoy Ghosh
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
Center for Research Computing, University of Notre Dame, South Bend, IN 46556, USA
William Callahan
Earth Networks, Germantown, MD 20876, USA
Michael Stock
Earth Networks, Germantown, MD 20876, USA
Elizabeth DiGangi
Earth Networks, Germantown, MD 20876, USA
Steve Prinzivalli
Earth Networks, Germantown, MD 20876, USA
James Whetstone
Special Programs Office, National Institute of Standards and
Technology, Gaithersburg, MD 20899, USA
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10 citations as recorded by crossref.
- Methane, carbon dioxide, hydrogen sulfide, and isotopic ratios of methane observations from the Permian Basin tower network V. Monteiro et al. 10.5194/essd-14-2401-2022
- Methane Emissions Show Recent Decline but Strong Seasonality in Two US Northeastern Cities A. Karion et al. 10.1021/acs.est.3c05050
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- Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort 10.1029/2022JD037452
- The Impact of COVID‐19 on CO2 Emissions in the Los Angeles and Washington DC/Baltimore Metropolitan Areas V. Yadav et al. 10.1029/2021GL092744
- Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia M. Seo & H. Kim 10.1016/j.apr.2023.101759
- The impact of the COVID-19 lockdown on greenhouse gases: a multi-city analysis of in situ atmospheric observations V. Monteiro et al. 10.1088/2515-7620/ac66cb
- A Gradient-Descent Optimization of CO2–CO–NOx Emissions over the Paris Megacity─The Case of the First SARS-CoV-2 Lockdown C. Abdallah et al. 10.1021/acs.est.3c00566
Latest update: 28 Mar 2024
Short summary
Estimating city emissions based on atmospheric observations requires that the portion of observed greenhouse gases that originated in the city be separated from the portion that originated outside the city, also known as the background concentration. Here, we investigate different methods to determine background concentrations for the Washington, DC, and Baltimore, MD, region and evaluate how well those methods work and the uncertainties they involve.
Estimating city emissions based on atmospheric observations requires that the portion of...
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