New York City greenhouse gas emissions estimated with inverse modeling of aircraft measurements

Joseph R. Pitt, Israel Lopez-Coto, Kristian D. Hajny, Jay Tomlin, Robert Kaeser, Thilina Jayarathne, Brian H. Stirm, Cody R. Floerchinger, Christopher P. Loughner, Conor K. Gately, Lucy R. Hutyra, Kevin R. Gurney, Geoffrey S. Roest, Jianming Liang, Sharon Gourdji, Anna Karion, James R. Whetstone, Paul B. Shepson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Cities are greenhouse gas emission hot spots, making them targets for emission reduction policies. Effective emission reduction policies must be supported by accurate and transparent emissions accounting. Top-down approaches to emissions estimation, based on atmospheric greenhouse gas measurements, are an important and complementary tool to assess, improve, and update the emission inventories on which policy decisions are based and assessed. In this study, we present results from 9 research flights measuring CO2 and CH4 around New York City during the nongrowing seasons of 2018–2020. We used an ensemble of dispersion model runs in a Bayesian inverse modeling framework to derive campaign-average posterior emission estimates for the New York–Newark, NJ, urban area of (125 + 39) kmol CO2 s–1 and (0.62 + 0.19) kmol CH4 s–1 (reported as mean + 1s variability across the nine flights). We also derived emission estimates of (45 + 18) kmol CO2 s–1 and (0.20 + 0.07) kmol CH4 s–1 for the 5 boroughs of New York City. These emission rates, among the first top-down estimates for New York City, are consistent with inventory estimates for CO2 but are 2.4 times larger than the gridded EPA CH4 inventory, consistent with previous work suggesting CH4 emissions from cities throughout the northeast United States are currently underestimated.

Original languageEnglish (US)
Article number10
JournalElementa
Volume10
Issue number1
DOIs
StatePublished - Jan 19 2022

Keywords

  • Bayesian inverse modeling
  • Carbon dioxide
  • Greenhouse gas emissions
  • Methane
  • New York City
  • Urban emissions

ASJC Scopus subject areas

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

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