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Underestimation of Thermogenic Methane Emissions in New York City.
Pitt, Joseph R; Lopez-Coto, Israel; Karion, Anna; Hajny, Kristian D; Tomlin, Jay; Kaeser, Robert; Jayarathne, Thilina; Stirm, Brian H; Floerchinger, Cody R; Loughner, Christopher P; Commane, Róisín; Gately, Conor K; Hutyra, Lucy R; Gurney, Kevin R; Roest, Geoffrey S; Liang, Jianming; Gourdji, Sharon; Mueller, Kimberly L; Whetstone, James R; Shepson, Paul B.
Affiliation
  • Pitt JR; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York 11794, United States.
  • Lopez-Coto I; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York 11794, United States.
  • Karion A; National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.
  • Hajny KD; National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.
  • Tomlin J; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, New York 11794, United States.
  • Kaeser R; Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Jayarathne T; Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Stirm BH; Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Floerchinger CR; Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.
  • Loughner CP; School of Aviation and Transportation Technology, Purdue University, West Lafayette, Indiana 47906, United States.
  • Commane R; Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
  • Gately CK; Air Resources Laboratory, NOAA, College Park, Maryland 20740, United States.
  • Hutyra LR; Department of Earth and Environmental Sciences, Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York 10964, United States.
  • Gurney KR; Department of Earth and Planetary Sciences, Harvard University, Cambridge, Massachusetts 02138, United States.
  • Roest GS; Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, United States.
  • Liang J; Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, United States.
  • Gourdji S; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, Arizona 86011, United States.
  • Mueller KL; School of Informatics, Computing and Cyber Systems, Northern Arizona University, Flagstaff, Arizona 86011, United States.
  • Whetstone JR; Environmental Systems Research Institute, Redlands, California 92373, United States.
  • Shepson PB; National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.
Environ Sci Technol ; 58(21): 9147-9157, 2024 May 28.
Article in En | MEDLINE | ID: mdl-38743431
ABSTRACT
Recent studies have shown that methane emissions are underestimated by inventories in many US urban areas. This has important implications for climate change mitigation policy at the city, state, and national levels. Uncertainty in both the spatial distribution and sectoral allocation of urban emissions can limit the ability of policy makers to develop appropriately focused emission reduction strategies. Top-down emission estimates based on atmospheric greenhouse gas measurements can help to improve inventories and inform policy decisions. This study presents a new high-resolution (0.02 × 0.02°) methane emission inventory for New York City and its surrounding area, constructed using the latest activity data, emission factors, and spatial proxies. The new high-resolution inventory estimates of methane emissions for the New York-Newark urban area are 1.3 times larger than those for the gridded Environmental Protection Agency inventory. We used aircraft mole fraction measurements from nine research flights to optimize the high-resolution inventory emissions within a Bayesian inversion. These sectorally optimized emissions show that the high-resolution inventory still significantly underestimates methane emissions within the New York-Newark urban area, primarily because it underestimates emissions from thermogenic sources (by a factor of 2.3). This suggests that there remains a gap in our process-based understanding of urban methane emissions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Methane Country/Region as subject: America do norte Language: En Journal: Environ Sci Technol Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Methane Country/Region as subject: America do norte Language: En Journal: Environ Sci Technol Year: 2024 Document type: Article Affiliation country: Country of publication: