Articles | Volume 20, issue 7
https://doi.org/10.5194/acp-20-4545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-20-4545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Apr 2020
Research article |
| 17 Apr 2020
| 17 Apr 2020
Background heterogeneity and other uncertainties in estimating urban methane flux: results from the Indianapolis Flux Experiment (INFLUX)
Nikolay V. Balashov
CORRESPONDING AUTHOR
NASA Postdoctoral Program, Universities Space Research Association,
7178 Columbia Gateway Drive, Columbia, MD, 21046, USA
NASA Global Modeling and Assimilation Office (GMAO), Goddard Space
Flight Center, Greenbelt, MD, 20771, USA
formerly at: The Pennsylvania State University, University Park, Pennsylvania, USA
The Pennsylvania State University, University Park, Pennsylvania, USA
Natasha L. Miles
The Pennsylvania State University, University Park, Pennsylvania, USA
Thomas Lauvaux
The Pennsylvania State University, University Park, Pennsylvania, USA
Laboratory of Climate Sciences and Environment, Gif-sur-Yvette, France
Scott J. Richardson
The Pennsylvania State University, University Park, Pennsylvania, USA
Zachary R. Barkley
The Pennsylvania State University, University Park, Pennsylvania, USA
Timothy A. Bonin
Cooperative Institute for Research in Environmental Sciences, Boulder, Colorado, USA
Chemical Sciences Division, National Oceanic and Atmospheric
Administration, Boulder, Colorado, USA
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- Camphor-Based CVD Bilayer Graphene/Si Heterostructures for Self-Powered and Broadband Photodetection D. Tsai et al. 10.3390/mi11090812
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- Underestimation of Thermogenic Methane Emissions in New York City J. Pitt et al. 10.1021/acs.est.3c10307
- Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework T. Jones et al. 10.5194/acp-21-13131-2021
- Majority of US urban natural gas emissions unaccounted for in inventories M. Sargent et al. 10.1073/pnas.2105804118
- 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
- The influence of near-field fluxes on seasonal carbon dioxide enhancements: results from the Indianapolis Flux Experiment (INFLUX) N. Miles et al. 10.1186/s13021-020-00166-z
- Observing Anthropogenic and Biogenic CO2 Emissions in Los Angeles Using a Dense Sensor Network J. Kim et al. 10.1021/acs.est.4c11392
- A multi-city urban atmospheric greenhouse gas measurement data synthesis L. Mitchell et al. 10.1038/s41597-022-01467-3
- 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
- Spatial attribution of aircraft mass balance experiment CO2 estimations for policy-relevant boundaries: New York City J. Tomlin et al. 10.1525/elementa.2023.00046
- Background conditions for an urban greenhouse gas network in the Washington, DC, and Baltimore metropolitan region A. Karion et al. 10.5194/acp-21-6257-2021
- Urban methane emission monitoring across North America using TROPOMI data: an analytical inversion approach M. Hemati et al. 10.1038/s41598-024-58995-8
- High-resolution US methane emissions inferred from an inversion of 2019 TROPOMI satellite data: contributions from individual states, urban areas, and landfills H. Nesser et al. 10.5194/acp-24-5069-2024
- Optimising urban measurement networks for CO2 flux estimation: a high-resolution observing system simulation experiment using GRAMM/GRAL S. Vardag & R. Maiwald 10.5194/gmd-17-1885-2024
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al. 10.1016/j.apr.2024.102333
Latest update: 21 Feb 2025
Short summary
An accurate independent verification methodology to estimate methane (a powerful greenhouse gas) emissions is essential for the effective implementation of policies that aim to reduce the impacts of climate change. In this paper, four uncertainties that complicate the independent estimation of urban methane emissions are identified: the definition of urban domain, background heterogeneity, emissions temporal variability, and missing sources. Ways to improve emission estimates are suggested.
An accurate independent verification methodology to estimate methane (a powerful greenhouse gas)...
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