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Methane emissions from dairies in the Los Angeles Basin

Viatte, Camille and Lauvaux, Thomas and Hedelius, Jacob K. and Parker, Harrison and Chen, Jia and Jones, Taylor and Franklin, Jonathan E. and Deng, Aijun J. and Gaudet, Brian and Verhulst, Kristal and Duren, Riley and Wunch, Debra and Roehl, Coleen and Dubey, Manvendra K. and Wofsy, Steven and Wennberg, Paul O. (2017) Methane emissions from dairies in the Los Angeles Basin. Atmospheric Chemistry and Physics, 17 (12). pp. 7509-7528. ISSN 1680-7324. http://resolver.caltech.edu/CaltechAUTHORS:20170807-113657692

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Abstract

We estimate the amount of methane (CH_4) 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∕12)CH_4 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 CH_4 and CO_2 (X_(CH)_4 and X_(CO)_2) 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 X_(CH)_4 and X_(CO)_2, 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 CH_4 emissions derived using the Fourier transform spectrometers (FTS) observations of 1.4 to 4.8 ppt s^(−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 CH_4 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 CH_4 emissions of 2.2 to 3.5 ppt s^(−1) at Chino.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.5194/acp-17-7509-2017DOIArticle
https://www.atmos-chem-phys.net/17/7509/2017/PublisherArticle
ORCID:
AuthorORCID
Hedelius, Jacob K.0000-0003-2025-7519
Wunch, Debra0000-0002-4924-0377
Roehl, Coleen0000-0001-5383-8462
Wennberg, Paul O.0000-0002-6126-3854
Additional Information:© Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. Received: 01 Apr 201; Discussion started: 27 Apr 2016. Revised: 11 Apr 2017; Accepted: 25 Apr 2017; Published: 21 Jun 2017. The authors thank NASA and the W. M. Keck Institute for Space Studies for financial support. MKD acknowledges NASA CMS support of the EM27/SUN deployment and LANL-LDRD 20110081DR for acquisition of the instrument. Jia Chen, Taylor Jones, Jonathan E. Franklin, and Steve Wofsy gratefully acknowledge funding provided by the National Science Foundation through MRI Award 1337512. A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. The January campaign participants are Camille Viatte, Jacob Hedelius, Harrison Parker, Jia Chen, Johnathan Franklin, Taylor Jones, Riley Duren, and Kristal Verhulst. Edited by: P. Monks. Reviewed by: two anonymous referees
Group:Keck Institute for Space Studies
Funders:
Funding AgencyGrant Number
Keck Institute for Space Studies (KISS)UNSPECIFIED
Los Alamos National Laboratory20110081DR
NSFAGS-1337512
NASA/JPL/CaltechUNSPECIFIED
Record Number:CaltechAUTHORS:20170807-113657692
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170807-113657692
Official Citation:Viatte, C., Lauvaux, T., Hedelius, J. K., Parker, H., Chen, J., Jones, T., Franklin, J. E., Deng, A. J., Gaudet, B., Verhulst, K., Duren, R., Wunch, D., Roehl, C., Dubey, M. K., Wofsy, S., and Wennberg, P. O.: Methane emissions from dairies in the Los Angeles Basin, Atmos. Chem. Phys., 17, 7509-7528, https://doi.org/10.5194/acp-17-7509-2017, 2017
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79846
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:07 Aug 2017 20:40
Last Modified:12 Sep 2017 21:37

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