Articles | Volume 17, issue 12
Atmos. Chem. Phys., 17, 7509–7528, 2017
https://doi.org/10.5194/acp-17-7509-2017
Atmos. Chem. Phys., 17, 7509–7528, 2017
https://doi.org/10.5194/acp-17-7509-2017

Research article 21 Jun 2017

Research article | 21 Jun 2017

Methane emissions from dairies in the Los Angeles Basin

Camille Viatte et al.

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Cited articles

Arata, C., Rahn, T., and Dubey, M. K.: Methane Isotope Instrument Validation and Source Identification at Four Corners, New Mexico, United States, J. Phys. Chem. A, 120, 1488–1494, https://doi.org/10.1021/acs.jpca.5b12737, 2016.
ARB – Air Resources Board: concept paper, full report, available at: http://www.arb.ca.gov/cc/shortlived/concept_paper.pdf, last access: 7 May 2015.
Berchet, A., Pison, I., Chevallier, F., Paris, J.-D., Bousquet, P., Bonne, J.-L., Arshinov, M. Y., Belan, B. D., Cressot, C., Davydov, D. K., Dlugokencky, E. J., Fofonov, A. V., Galanin, A., Lavrič, J., Machida, T., Parker, R., Sasakawa, M., Spahni, R., Stocker, B. D., and Winderlich, J.: Natural and anthropogenic methane fluxes in Eurasia: a mesoscale quantification by generalized atmospheric inversion, Biogeosciences, 12, 5393–5414, https://doi.org/10.5194/bg-12-5393-2015, 2015.
Breon, F. M. and Ciais, P.: Spaceborne remote sensing of greenhouse gas concentrations, Comptes Rendus Geoscience, 342, 412–424, https://doi.org/10.1016/j.crte.2009.09.012, 2010.
California Agricultural Statistics, United States Department of Agriculture, National Agricultural Statistics Service, Pacific Regional, Field Office California, full report, available at: http://www.nass.usda.gov/Statistics by_State/California/Publications/California_Ag_Statistics/ CALivestockandDairy.pdf (last access: 16 June 2017), 2013.
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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.
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