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.
Research article
| 
26 Apr 2021
Research article |
| 26 Apr 2021
| 26 Apr 2021
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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- An emerging GHG estimation approach can help cities achieve their climate and sustainability goals K. Mueller et al. 10.1088/1748-9326/ac0f25
- Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort 10.1029/2022JD037452
- Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al. 10.1016/j.atmosenv.2024.120675
- 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
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12 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
- 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
- Low-cost urban carbon monitoring network and implications for china: a comprehensive review H. Jiang et al. 10.1007/s11356-023-29836-4
- Analysis of atmospheric CO2 variability in the Marseille city area and the north-west Mediterranean basin at different time scales I. Xueref-Remy et al. 10.1016/j.aeaoa.2023.100208
- An emerging GHG estimation approach can help cities achieve their climate and sustainability goals K. Mueller et al. 10.1088/1748-9326/ac0f25
- Observing System Choice Can Minimize Interference of the Biosphere in Studies of Urban CO2 Emissions R. Lal & E. Kort 10.1029/2022JD037452
- Influence of synoptic weather patterns on methane mixing ratios in the Baltimore/Washington region S. Sahu et al. 10.1016/j.atmosenv.2024.120675
- 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: 25 Dec 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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