Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 1151–1166, 2021
https://doi.org/10.5194/essd-13-1151-2021
Earth Syst. Sci. Data, 13, 1151–1166, 2021
https://doi.org/10.5194/essd-13-1151-2021
Data description paper
22 Mar 2021
Data description paper | 22 Mar 2021

Facility-scale inventory of dairy methane emissions in California: implications for mitigation

Alison R. Marklein et al.

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Cited articles

Ahn, H. K., Mulbry, W., White, J. W., and Konrad, S. L.: Pile mixing increases greenhouse gas emissions during composting of dairy manure, Bioresource Technol., 102, 2904–2909, https://doi.org/10.1016/j.biortech.2010.10.142, 2011. 
Appuhamy, R. and Kebreab, E.: Characterizing California-specific cattle feed rations and improved modeling of enteric fermentation for California's greenhouse gas inventory 2018, 1–41, available at: https://ww2.arb.ca.gov/sites/default/files/classic//research/apr/past/16rd001.pdf (last access: 4 March 2021), 2018. 
Arndt, C., Leytem, A. B., Hristov, A. N., Zavala-Araiza, D., Cativiela, J. P., Conley, S., Daube, C., Faloona, I., and Herndon, S. C.: Short-term methane emissions from 2 dairy farms in California estimated by different measurement techniques and US Environmental Protection Agency inventory methodology: A case study, J. Dairy Sci., 101, 11461–11479, https://doi.org/10.3168/jds.2017-13881, 2018. 
California Air Resources Board: 2014 Edition California's 2000–2012 Greenhouse Gas Emissions Inventory Technical Support Document State of California Air Resources Board Air Quality Planning and Science Division, 1–168, available at: https://ww3.arb.ca.gov/cc/inventory/doc/methods_00-14/ghg_inventory_00-14_technical_support_document.pdf (last access: 4 March 2021), 2014. 
California Department of Food and Agriculture: Annual Statistics Report 2017–2018, available at: https://www.cdfa.ca.gov/statistics/PDFs/2017-18AgReport.pdf (last access: 12 March 2020), 2018. 
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Short summary
Dairy cow farms produce half of California's (CA) methane (CH4) emissions. Current CH4 emission inventories lack regional variation in management and are inadequate to assess CH4 mitigation measures. We develop a spatial database of CH4 emissions for CA dairy farms including farm-scale herd demographics and management data. This database is useful to predict CH4 emission reductions from mitigation efforts, to compare with atmospheric CH4 observations and to attribute emissions to specific farms.