Articles | Volume 11, issue 3
Earth Syst. Sci. Data, 11, 1309–1335, 2019
https://doi.org/10.5194/essd-11-1309-2019
Earth Syst. Sci. Data, 11, 1309–1335, 2019
https://doi.org/10.5194/essd-11-1309-2019
Data description paper
26 Aug 2019
Data description paper | 26 Aug 2019

The Hestia fossil fuel CO2 emissions data product for the Los Angeles megacity (Hestia-LA)

Kevin R. Gurney et al.

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Cited articles

Andrew, R. M.: Global CO2 emissions from cement production, Earth Syst. Sci. Data, 10, 195–217, https://doi.org/10.5194/essd-10-195-2018, 2018. 
Bellassen, V., Stephan, N., Afriat, M., Alberola, E., Barker, A., Chang, J. P., and Shishlov, I.: Monitoring, reporting and verifying emissions in the climate economy, Nat. Clim. Change, 5, 319–328, https://doi.org/10.1038/nclimate2544, 2015. 
Bulkeley, H.: Cities and the Governing of Climate Change, SSRN (Vol. 35), Annual Reviews, https://doi.org/10.1146/annurev-environ-072809-101747, 2010. 
Bréon, F. M., Broquet, G., Puygrenier, V., Chevallier, F., Xueref-Remy, I., Ramonet, M., Dieudonné, E., Lopez, M., Schmidt, M., Perrussel, O., and Ciais, P.: An attempt at estimating Paris area CO2 emissions from atmospheric concentration measurements, Atmos. Chem. Phys., 15, 1707–1724, https://doi.org/10.5194/acp-15-1707-2015, 2015. 
Cambaliza, M. O. L., Shepson, P. B., Caulton, D. R., Stirm, B., Samarov, D., Gurney, K. R., Turnbull, J., Davis, K. J., Possolo, A., Karion, A., Sweeney, C., Moser, B., Hendricks, A., Lauvaux, T., Mays, K., Whetstone, J., Huang, J., Razlivanov, I., Miles, N. L., and Richardson, S. J.: Assessment of uncertainties of an aircraft-based mass balance approach for quantifying urban greenhouse gas emissions, Atmos. Chem. Phys., 14, 9029–9050, https://doi.org/10.5194/acp-14-9029-2014, 2014. 
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The Hestia Project is an effort to provide bottom-up fossil fuel (FFCO2) emissions at the urban scale with building, street, and hourly space–time resolution. Here, we report on the latest urban area for which a Hestia estimate has been completed – the Los Angeles megacity. We provide a complete description of the methods used to build the Hestia FFCO2 emissions data product and general analysis of the numerical results.