Methane emissions from dairies in the Los Angeles Basin

Camille Viatte, Thomas Lauvaux, Jacob K. Hedelius, Harrison Parker, Jia Chen, Taylor Jones, Jonathan E. Franklin, Aijun J. Deng, Brian Gaudet, Kristal Verhulst, Riley Duren, Debra Wunch, Coleen Roehl, Manvendra K. Dubey, Steve Wofsy, Paul O. Wennberg

Research output: Contribution to journalArticle

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Abstract

We estimate the amount of methane (CH4) emitted by the largest dairies in the southern California region by combining measurements from four mobile solar-viewing ground-based spectrometers (EM27/SUN), in situ isotopic 13/12CH4 measurements from a CRDS analyzer (Picarro), and a high-resolution atmospheric transport simulation with a Weather Research and Forecasting model in large-eddy simulation mode (WRF-LES). The remote sensing spectrometers measure the total column-averaged dry-air mole fractions of CH4 and CO2 (XCH4 and XCO2) in the near infrared region, providing information on total emissions of the dairies at Chino. Differences measured between the four EM27/SUN ranged from 0.2 to 22 ppb (part per billion) and from 0.7 to 3 ppm (part per million) for XCH4 and XCO2, respectively. To assess the fluxes of the dairies, these differential measurements are used in conjunction with the local atmospheric dynamics from wind measurements at two local airports and from the WRF-LES simulations at 111 m resolution. Our top-down CH4 emissions derived using the Fourier transform spectrometers (FTS) observations of 1.4 to 4.8 ppt-1 are in the low end of previous top-down estimates, consistent with reductions of the dairy farms and urbanization in the domain. However, the wide range of inferred fluxes points to the challenges posed by the heterogeneity of the sources and meteorology. Inverse modeling from WRF-LES is utilized to resolve the spatial distribution of CH4 emissions in the domain. Both the model and the measurements indicate heterogeneous emissions, with contributions from anthropogenic and biogenic sources at Chino. A Bayesian inversion and a Monte Carlo approach are used to provide the CH4 emissions of 2.2 to 3.5 ppt-1 at Chino.

Original languageEnglish (US)
Pages (from-to)7509-7528
Number of pages20
JournalAtmospheric Chemistry and Physics
Volume17
Issue number12
DOIs
StatePublished - Jun 21 2017

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methane
large eddy simulation
basin
spectrometer
weather
atmospheric dynamics
wind measurement
atmospheric transport
airport
meteorology
Fourier transform
simulation
urbanization
near infrared
spatial distribution
remote sensing
air
modeling

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H., Chen, J., Jones, T., ... Wennberg, P. O. (2017). Methane emissions from dairies in the Los Angeles Basin. Atmospheric Chemistry and Physics, 17(12), 7509-7528. https://doi.org/10.5194/acp-17-7509-2017
Viatte, Camille ; Lauvaux, Thomas ; Hedelius, Jacob K. ; Parker, Harrison ; Chen, Jia ; Jones, Taylor ; Franklin, Jonathan E. ; Deng, Aijun J. ; Gaudet, Brian ; Verhulst, Kristal ; Duren, Riley ; Wunch, Debra ; Roehl, Coleen ; Dubey, Manvendra K. ; Wofsy, Steve ; Wennberg, Paul O. / Methane emissions from dairies in the Los Angeles Basin. In: Atmospheric Chemistry and Physics. 2017 ; Vol. 17, No. 12. pp. 7509-7528.
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Viatte, C, Lauvaux, T, Hedelius, JK, Parker, H, Chen, J, Jones, T, Franklin, JE, Deng, AJ, Gaudet, B, Verhulst, K, Duren, R, Wunch, D, Roehl, C, Dubey, MK, Wofsy, S & Wennberg, PO 2017, 'Methane emissions from dairies in the Los Angeles Basin', Atmospheric Chemistry and Physics, vol. 17, no. 12, pp. 7509-7528. https://doi.org/10.5194/acp-17-7509-2017

Methane emissions from dairies in the Los Angeles Basin. / Viatte, Camille; Lauvaux, Thomas; Hedelius, Jacob K.; Parker, Harrison; Chen, Jia; Jones, Taylor; Franklin, Jonathan E.; Deng, Aijun J.; Gaudet, Brian; Verhulst, Kristal; Duren, Riley; Wunch, Debra; Roehl, Coleen; Dubey, Manvendra K.; Wofsy, Steve; Wennberg, Paul O.

In: Atmospheric Chemistry and Physics, Vol. 17, No. 12, 21.06.2017, p. 7509-7528.

Research output: Contribution to journalArticle

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T1 - Methane emissions from dairies in the Los Angeles Basin

AU - Viatte, Camille

AU - Lauvaux, Thomas

AU - Hedelius, Jacob K.

AU - Parker, Harrison

AU - Chen, Jia

AU - Jones, Taylor

AU - Franklin, Jonathan E.

AU - Deng, Aijun J.

AU - Gaudet, Brian

AU - Verhulst, Kristal

AU - Duren, Riley

AU - Wunch, Debra

AU - Roehl, Coleen

AU - Dubey, Manvendra K.

AU - Wofsy, Steve

AU - Wennberg, Paul O.

PY - 2017/6/21

Y1 - 2017/6/21

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AB - We estimate the amount of methane (CH4) emitted by the largest dairies in the southern California region by combining measurements from four mobile solar-viewing ground-based spectrometers (EM27/SUN), in situ isotopic 13/12CH4 measurements from a CRDS analyzer (Picarro), and a high-resolution atmospheric transport simulation with a Weather Research and Forecasting model in large-eddy simulation mode (WRF-LES). The remote sensing spectrometers measure the total column-averaged dry-air mole fractions of CH4 and CO2 (XCH4 and XCO2) in the near infrared region, providing information on total emissions of the dairies at Chino. Differences measured between the four EM27/SUN ranged from 0.2 to 22 ppb (part per billion) and from 0.7 to 3 ppm (part per million) for XCH4 and XCO2, respectively. To assess the fluxes of the dairies, these differential measurements are used in conjunction with the local atmospheric dynamics from wind measurements at two local airports and from the WRF-LES simulations at 111 m resolution. Our top-down CH4 emissions derived using the Fourier transform spectrometers (FTS) observations of 1.4 to 4.8 ppt-1 are in the low end of previous top-down estimates, consistent with reductions of the dairy farms and urbanization in the domain. However, the wide range of inferred fluxes points to the challenges posed by the heterogeneity of the sources and meteorology. Inverse modeling from WRF-LES is utilized to resolve the spatial distribution of CH4 emissions in the domain. Both the model and the measurements indicate heterogeneous emissions, with contributions from anthropogenic and biogenic sources at Chino. A Bayesian inversion and a Monte Carlo approach are used to provide the CH4 emissions of 2.2 to 3.5 ppt-1 at Chino.

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Viatte C, Lauvaux T, Hedelius JK, Parker H, Chen J, Jones T et al. Methane emissions from dairies in the Los Angeles Basin. Atmospheric Chemistry and Physics. 2017 Jun 21;17(12):7509-7528. https://doi.org/10.5194/acp-17-7509-2017