Articles | Volume 21, issue 17
Research article
06 Sep 2021
Research article |  | 06 Sep 2021

Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework

Taylor S. Jones, Jonathan E. Franklin, Jia Chen, Florian Dietrich, Kristian D. Hajny, Johannes C. Paetzold, Adrian Wenzel, Conor Gately, Elaine Gottlieb, Harrison Parker, Manvendra Dubey, Frank Hase, Paul B. Shepson, Levi H. Mielke, and Steven C. Wofsy


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2020-1262', Anonymous Referee #1, 31 Jan 2021
  • RC2: 'Comment on acp-2020-1262', Anonymous Referee #2, 23 Apr 2021
  • AC1: 'Response to Comments on acp-2020-1262', Taylor Jones, 11 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Taylor Jones on behalf of the Authors (11 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (25 Jul 2021) by Jerome Brioude
Short summary
Methane emissions from leaks in natural gas pipes are often a large source in urban areas, but they are difficult to measure on a city-wide scale. Here we use an array of innovative methane sensors distributed around the city of Indianapolis and a new method of combining their data with an atmospheric model to accurately determine the magnitude of these emissions, which are about 70 % larger than predicted. This method can serve as a framework for cities trying to account for their emissions.
Final-revised paper