Articles | Volume 17, issue 12
https://doi.org/10.5194/acp-17-7509-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-7509-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
21 Jun 2017
Research article |
| 21 Jun 2017
Methane emissions from dairies in the Los Angeles Basin
Camille Viatte
CORRESPONDING AUTHOR
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Thomas Lauvaux
Department of Meteorology, Pennsylvania State University, University Park, PA, USA
Jacob K. Hedelius
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Harrison Parker
Earth System Observations, Los Alamos National Laboratory, Los Alamos, NM, USA
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
now at: Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany
Taylor Jones
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Jonathan E. Franklin
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Aijun J. Deng
Department of Meteorology, Pennsylvania State University, University Park, PA, USA
Brian Gaudet
Department of Meteorology, Pennsylvania State University, University Park, PA, USA
Kristal Verhulst
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Riley Duren
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Debra Wunch
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
now at: Department of Physics, University of Toronto, Toronto, ON, Canada
Coleen Roehl
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
Manvendra K. Dubey
Earth System Observations, Los Alamos National Laboratory, Los Alamos, NM, USA
Steve Wofsy
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Paul O. Wennberg
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
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- The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps G. Hurtt et al. 10.1088/1748-9326/ac7407
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44 citations as recorded by crossref.
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- Carbon dioxide and methane measurements from the Los Angeles Megacity Carbon Project – Part 1: calibration, urban enhancements, and uncertainty estimates K. Verhulst et al. 10.5194/acp-17-8313-2017
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- Evaluating Methods To Estimate Methane Emissions from Oil and Gas Production Facilities Using LES Simulations P. Saide et al. 10.1021/acs.est.8b01767
- Anthropogenic CO2 emissions assessment of Nile Delta using XCO2 and SIF data from OCO-2 satellite A. Shekhar et al. 10.1088/1748-9326/ab9cfe
- Assessing urban methane emissions using column-observing portable Fourier transform infrared (FTIR) spectrometers and a novel Bayesian inversion framework T. Jones et al. 10.5194/acp-21-13131-2021
- Recovery of sparse urban greenhouse gas emissions B. Zanger et al. 10.5194/gmd-15-7533-2022
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- Long open-path measurements of greenhouse gases in air using near-infrared Fourier transform spectroscopy D. Griffith et al. 10.5194/amt-11-1549-2018
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- Evaluating the Mobile Flux Plane (MFP) Method to Estimate Methane Emissions Using Large Eddy Simulations (LES) R. Kumar et al. 10.1029/2020JD032663
- Investigation of the Spatial Distribution of Methane Sources in the Greater Toronto Area Using Mobile Gas Monitoring Systems S. Ars et al. 10.1021/acs.est.0c05386
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- Uncertainty in the Mobile Observation of Wind E. Leibensperger et al. 10.3390/atmos14050765
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Saved (preprint)
Latest update: 19 Apr 2024
Short summary
This study estimates methane emissions at local scale in dairy farms using four new mobile ground-based remote sensing spectrometers (EM27/SUN) and isotopic in situ measurements. Our top-down estimates are in the low end of previous studies. Inverse modeling from a comprehensive high-resolution model simulations (WRF-LES) is used to assess the geographical distribution of the emissions. Both the model and the measurements indicate a mixture of anthropogenic and biogenic emissions.
This study estimates methane emissions at local scale in dairy farms using four new mobile...
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