A spatially explicit inventory scaling approach to estimate urban CO2 emissions

Author:

Hajny Kristian D.12,Floerchinger Cody R.3,Lopez-Coto Israel24,Pitt Joseph R.25,Gately Conor K.36,Gurney Kevin R.7,Hutyra Lucy R.8,Jayarathne Thilina19,Kaeser Robert1,Roest Geoffrey S.7,Sargent Maryann3,Stirm Brian H.10,Tomlin Jay1,Turner Alexander J.11,Shepson Paul B.12,Wofsy Steven3

Affiliation:

1. 1Department of Chemistry, Purdue University, West Lafayette, IN, USA

2. 2School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA

3. 3Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA

4. 4Special Programs Office, National Institute of Standards and Technology, Gaithersburg, MD, USA

5. 5Current address: School of Chemistry, University of Bristol, Bristol, UK

6. 6Current address: Massachusetts Metropolitan Area Planning Council, Boston, MA, USA

7. 7School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA

8. 8Department of Earth and Environment, Boston University, Boston, MA, USA

9. 9Current address: Bristol Myers Squibb, New Brunswick, NJ, USA

10. 10School of Aviation and Transportation Technology, Purdue University, West Lafayette, IN, USA

11. 11Department of Atmospheric Sciences, University of Washington, Seattle, WA, USA

Abstract

Appropriate techniques to quantify greenhouse gas emission reductions in cities over time are necessary to monitor the progress of these efforts and effectively inform continuing mitigation. We introduce a scaling factor (SF) method that combines aircraft measurements and dispersion modeling to estimate urban emissions and apply it to 9 nongrowing season research aircraft flights around New York City (NYC) in 2018–2020. This SF approach uses a weighting function to focus on an area of interest while still accounting for upwind emissions. We estimate carbon dioxide (CO2) emissions from NYC and the Greater New York Area (GNA) and compare to nested inversion analyses of the same data. The average calculated CO2 emission rates for NYC and the GNA, representative of daytime emissions for the flights, were (49 ± 16) kmol/s and (144 ± 44) kmol/s, respectively (uncertainties reported as ±1σ variability across the 9 flights). These emissions are within ∼15% of an inversion analysis and agree well with inventory estimates. By using an ensemble, we also investigate the variability introduced by several sources and find that day-to-day variability dominates the overall variability. This work investigates and demonstrates the capability of an SF method to quantify emissions specific to particular areas of interest.

Publisher

University of California Press

Subject

Atmospheric Science,Geology,Geotechnical Engineering and Engineering Geology,Ecology,Environmental Engineering,Oceanography

Reference70 articles.

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