Articles | Volume 21, issue 17
https://doi.org/10.5194/acp-21-13131-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-13131-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2021
Research article |
| 06 Sep 2021
| 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
CORRESPONDING AUTHOR
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Environment, Boston University, Boston, MA USA
Jonathan E. Franklin
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Environmental Sensing and Modeling, Technical University of Munich (TUM), Munich, Germany
Florian Dietrich
Environmental Sensing and Modeling, Technical University of Munich (TUM), Munich, Germany
Kristian D. Hajny
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA
Johannes C. Paetzold
Environmental Sensing and Modeling, Technical University of Munich (TUM), Munich, Germany
Adrian Wenzel
Environmental Sensing and Modeling, Technical University of Munich (TUM), Munich, Germany
Conor Gately
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Department of Earth and Environment, Boston University, Boston, MA USA
Elaine Gottlieb
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Harrison Parker
Los Alamos National Laboratory, Los Alamos, NM, USA
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Manvendra Dubey
Los Alamos National Laboratory, Los Alamos, NM, USA
Frank Hase
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany
Paul B. Shepson
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, USA
Levi H. Mielke
Department of Chemistry, University of Indianapolis, Indianapolis, IN, USA
Steven C. Wofsy
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Data sets
Indianapolis EM27/SUN Observations and Footprints for May 2016 T. Jones, J. Franklin, J. Chen, F. Dietrich, K. Hajny, J. Paetzold, A. Wenzel, C. Gately, E. Gottlieb, H. Parker, M. Dubey, F. Hase, P. Shepson, L. Mielke, S. Wofsy https://doi.org/10.7910/DVN/JWL4PK
Model code and software
Indianapolis EM27/SUN Observations and Footprints for May 2016 T. Jones, J. Franklin, J. Chen, F. Dietrich, K. Hajny, J. Paetzold, A. Wenzel, C. Gately, E. Gottlieb, H. Parker, M. Dubey, F. Hase, P. Shepson, L. Mielke, S. Wofsy https://doi.org/10.7910/DVN/JWL4PK
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.
Methane emissions from leaks in natural gas pipes are often a large source in urban areas, but...
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