Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO2 Emissions at the Urban Scale in Four U.S. Urban Areas
dc.contributor.author | Gurney, Kevin R. | |
dc.contributor.author | Liang, J. | |
dc.contributor.author | O’Keeffe, D. | |
dc.contributor.author | Patarasuk, R. | |
dc.contributor.author | Hutchins, M. | |
dc.contributor.author | Huang, J. | |
dc.contributor.author | Rao, P. | |
dc.contributor.author | Song, Y. | |
dc.date.accessioned | 2019-04-02T18:11:44Z | |
dc.date.available | 2020-05-01T18:03:25Z | en |
dc.date.issued | 2019-03-16 | |
dc.identifier.citation | Gurney, Kevin R.; Liang, J.; O’Keeffe, D.; Patarasuk, R.; Hutchins, M.; Huang, J.; Rao, P.; Song, Y. (2019). "Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO2 Emissions at the Urban Scale in Four U.S. Urban Areas." Journal of Geophysical Research: Atmospheres 124(5): 2823-2840. | |
dc.identifier.issn | 2169-897X | |
dc.identifier.issn | 2169-8996 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/148411 | |
dc.description.abstract | Spatiotemporally resolved urban fossil fuel CO2 (FFCO2) emissions are critical to urban carbon cycle research and urban climate policy. Two general scientific approaches have been taken to estimate spatiotemporally explicit urban FFCO2 fluxes, referred to here as “downscaling” and “bottom‐up.” Bottom‐up approaches can specifically characterize the CO2‐emitting infrastructure in cities but are labor‐intensive to build and currently available in few U.S. cities. Downscaling approaches, often available globally, require proxy information to allocate or distribute emissions resulting in additional uncertainty. We present a comparison of a downscaled FFCO2 emission data product (Open‐source Data Inventory for Anthropogenic CO2 (ODIAC)) to a bottom‐up estimate (Hestia) in four U.S. urban areas in an effort to better isolate and understand differences between the approaches. We find whole‐city differences ranging from −1.5% (Los Angeles Basin) to +20.8% (Salt Lake City). At the 1 km × 1 km spatial scale, comparisons reveal a low‐emission limit in ODIAC driven by saturation of the nighttime light spatial proxy. At this resolution, the median difference between the two approaches ranged from 47 to 84% depending upon city with correlations ranging from 0.34 to 0.68. The largest discrepancies were found for large point sources and the on‐road sector, suggesting that downscaled FFCO2 data products could be improved by incorporating independent large point‐source estimates and estimating on‐road sources with a relevant spatial surrogate. Progressively coarsening the spatial resolution improves agreement but greater than approximately 25 km2, there were diminishing returns to agreement suggesting a practical resolution when using downscaled approaches.Plain Language SummaryComparison of greenhouse gas emission approaches using globally available data in specific cities shows large differences when compared to greenhouse gas emission approaches constructed from local data sources. Differences are largest at the smaller scales compared to the whole city. This suggests a limit on the use of global greenhouse gas inventories when applied to urban areas.Key PointsThe difference between the global downscaled and bottom‐up estimates for the whole‐city domain exceeds 10% in three of the four citiesAverage grid cell FFCO2 differences at 1‐km2 range from 47% (Salt Lake City) to 84% (LA Basin) with spatial correlations of 0.34 to 0.68Average grid cell FFCO2 differences show diminishing agreement improvements when resolution is coarsened beyond 25 km2 | |
dc.publisher | Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | mitigation | |
dc.subject.other | downscaled | |
dc.subject.other | bottom‐up | |
dc.subject.other | urban | |
dc.subject.other | fossil fuel CO2 | |
dc.subject.other | uncertainty | |
dc.title | Comparison of Global Downscaled Versus Bottom‐Up Fossil Fuel CO2 Emissions at the Urban Scale in Four U.S. Urban Areas | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Atmospheric and Oceanic Sciences | |
dc.subject.hlbtoplevel | Science | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/148411/1/jgrd55209_am.pdf | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/148411/2/jgrd55209.pdf | |
dc.identifier.doi | 10.1029/2018JD028859 | |
dc.identifier.source | Journal of Geophysical Research: Atmospheres | |
dc.identifier.citedreference | Ou, J., Liu, X., Li, X., Li, M., & Li, W. ( 2015 ). Evaluation of NPP‐VIIRS nighttime light data for mapping global fossil fuel combustion CO 2 emissions: A comparison with DMSP‐OLS nighttime light data. PLoS One, 10 ( 9 ), e0138310. https://doi.org/10.1371/journal.pone.0138310 | |
dc.identifier.citedreference | Newman, S., Xu, X., Gurney, K. R., Hsu, Y. K., Li, K. F., Jiang, X., Keeling, R., Feng, S., O'Keefe, D., Patarasuk, R., Wong, K. W., Rao, P., Fischer, M. L., & Yung, Y. L. ( 2016 ). Toward consistency between trends in bottom‐up CO 2 emissions and top‐down atmospheric measurements in the Los Angeles megacity. Atmospheric Chemistry and Physics, 16 ( 6 ), 3843 – 3863. https://doi.org/10.5194/acp‐16‐3843‐2016 | |
dc.identifier.citedreference | Oda, T., Lauvaux, T., Lu, D., Rao, P., Miles, N. L., Richardson, S. J., & Gurney, K. R. ( 2017 ). On the impact of granularity of space‐based urban CO 2 emissions in urban atmospheric inversions: A case study for Indianapolis, IN. Elementa, 5 ( 28 ). http://doi.org/10.1525/elementa.146 | |
dc.identifier.citedreference | Oda, T., & Maksyutov, S. ( 2011 ). A very high‐resolution (1 km × 1 km) global fossil fuel CO 2 emission inventory derived using a point source database and satellite observations of nighttime lights. Atmospheric Chemistry and Physics, 11 ( 2 ), 543 – 556. https://doi.org/10.5194/acp‐11‐543‐2011 | |
dc.identifier.citedreference | Oda, T., Maksyutov, S., & Andres, R. J. ( 2018 ). The Open‐source Data Inventory for Anthropogenic CO 2, version 2016 (ODIAC2016): A global monthly fossil fuel CO 2 gridded emissions data product for tracer transport simulations and surface flux inversions. Earth System Science Data, 10 ( 1 ), 87 – 107. https://doi.org/10.5194/essd‐10‐87‐2018 | |
dc.identifier.citedreference | Olivier, J. G. J., Bloos, J. P. J., Berdowski, J. J. M., Visschedijk, A. J. H., & Bouwman, A. F. ( 1999 ). A 1990 global emission inventory of anthropogenic sources of carbon monoxide on 1° × 1° developed in the framework of EDGAR/GEIA. Chemosphere ‐ Global Change Science, 1 ( 1–3 ), 1 – 17. https://doi.org/10.1016/S1465‐9972(99)00019‐7 | |
dc.identifier.citedreference | Parshall, L., Gurney, K., Hammer, S. A., Mendoza, D., Zhou, Y., & Geethakumar, S. ( 2010 ). Modeling energy consumption and CO 2 emissions at the urban scale: Methodological challenges and insights from the United States. Energy Policy, 38 ( 9 ), 4765 – 4782. https://doi.org/10.1016/j.enpol.2009.07.006 | |
dc.identifier.citedreference | Patarasuk, R., Gurney, K. R., O’Keeffe, D., Song, Y., Huang, J., Rao, P., Buchert, M., Lin, J. C., Mendoza, D., & Ehleringer, J. R. ( 2016 ). Urban high‐resolution fossil fuel CO 2 emissions quantification and exploration of emission drivers for potential policy applications. Urban Ecosystems, 19 ( 3 ), 1013 – 1039. https://doi.org/10.1007/s11252‐016‐0553‐1 | |
dc.identifier.citedreference | Pétron, G., Tans, P., Frost, G., Chao, D., & Trainer, M. ( 2008 ). High‐resolution emissions of CO 2 from power generation in the USA. Journal of Geophysical Research, 113, G04008. https://doi.org/10.1029/2007JG000602 | |
dc.identifier.citedreference | Pincetl, S., Chester, M., Circella, G., Fraser, A., Mini, C., Murphy, S., Reyna, J., & Sivaraman, D. ( 2014 ). Enabling future sustainability transitions: An urban metabolism approach to Los Angeles Pincetl et al. Enabling Future Sustainability Transitions. Journal of Industrial Ecology, 18 ( 6 ), 871 – 882. https://doi.org/10.1111/jiec.12144 | |
dc.identifier.citedreference | Porse, E., Derenski, J., Gustafson, H., Elizabeth, Z., & Pincetl, S. ( 2016 ). Structural, geographic, and social factors in urban building energy use: Analysis of aggregated account‐level consumption data in a megacity. Energy Policy, 96, 179 – 192. https://doi.org/10.1016/j.enpol.2016.06.002 | |
dc.identifier.citedreference | Ramaswami, A., Hillman, T., Janson, B., Reiner, M., & Thomas, G. ( 2008 ). A demand‐centered, hybrid life‐cycle methodology for city‐scale greenhouse gas inventories. Environmental Science and Technology, 42 ( 17 ), 6455 – 6461. https://doi.org/10.1021/es702992q | |
dc.identifier.citedreference | Rayner, P. J., Raupach, M. R., Paget, M., Peylin, P., & Koffi, E. ( 2010 ). A new global gridded data set of CO 2 emissions from fossil fuel combustion: Methodology and evaluation. Journal of Geophysical Research, 115, D19306. https://doi.org/10.1029/2009JD013439 | |
dc.identifier.citedreference | Rosenzweig, C., Solecki, W., Hammer, S. A., & Mehrotra, S. ( 2010 ). Cities lead the way in climate‐change action. Nature, 467 ( 7318 ), 909 – 911. https://doi.org/10.1038/467909a | |
dc.identifier.citedreference | Seto, K., Bigio, A., Blanco, H., Delgado, G. C., Dewar, D., Huang, L., Inaba, A., Kansal, A., Lwasa, S., McMahon, J., Müller, D. B., Murakami, J., Nagendra, H., & Ramaswami, A. ( 2015 ). Mitigation of climate change. In C. B. Field et al. (Eds.), Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 361 – 409 ). United Kingdom and New York, NY: Cambridge University Press. | |
dc.identifier.citedreference | Shiga, Y. P., Michalak, A. M., Gourdji, S. M., Mueller, K. L., & Yadav, V. ( 2014 ). Detecting fossil fuel emissions patterns from subcontinental regions using North American in situ CO 2 measurements. Geophysical Research Letters, 41, 4381 – 4388. https://doi.org/10.1002/2014GL059684 | |
dc.identifier.citedreference | Shu, Y., & Lam, N. S. N. ( 2011 ). Spatial disaggregation of carbon dioxide emissions from road traffic based on multiple linear regression model. Atmospheric Environment, 45 ( 3 ), 634 – 640. https://doi.org/10.1016/J.ATMOSENV.2010.10.037 | |
dc.identifier.citedreference | Trencher, G., Castán Broto, V., Takagi, T., Sprigings, Z., Nishida, Y., & Yarime, M. ( 2016 ). Innovative policy practices to advance building energy efficiency and retrofitting: Approaches, impacts and challenges in ten C40 cities. Environmental Science and Policy, 66, 353 – 365. https://doi.org/10.1016/j.envsci.2016.06.021 | |
dc.identifier.citedreference | Turnbull, J. C., Sweeney, C., Karion, A., Newberger, T., Lehman, S. J., Tans, P. P., Davis, K. J., Lauvaux, T., Miles, N. L., Richardson, S. J., Cambaliza, M. O., Shepson, P. B., Gurney, K., Patarasuk, R., & Razlivanov, I. ( 2015 ). Toward quantification and source sector identification of fossil fuel CO 2 emissions from an urban area: Results from the INFLUX experiment. Journal of Geophysical Research: Atmospheres, 120, 292 – 312. https://doi.org/10.1002/2014JD022555 | |
dc.identifier.citedreference | Ummel, K. ( 2012 ). Carma revisited: An updated database of carbon dioxide emissions from power plants worldwide (August 23, 2012), Center for Global Development Working Paper No. 304. Available at SSRN: https://ssrn.com/abstract=2226505 or https://doi.org/10.2139/ssrn.2226505 | |
dc.identifier.citedreference | United States Environmental Protection Agency ( 2017 ). Inventory of U.S. greenhouse gas emissions and sinks 1990–2015, EPA 430‐P‐17‐001. | |
dc.identifier.citedreference | Ürge‐Vorsatz, D., Rosenzweig, C., Dawson, R. J., Rodriguez, R. S., Bai, X., Barau, A. S., Seto, K. C., & Dhakal, S. ( 2018 ). Locking in positive climate responses in cities. Nature Climate Change, 8 ( 3 ), 174 – 177, https://doi.org/10.1038/s41558‐018‐0100‐6 | |
dc.identifier.citedreference | Vandeweghe, J. R., & Kennedy, C. ( 2007 ). A spatial analysis of residential greenhouse gas emissions in the Toronto census metropolitan area. Journal of Industrial Technology, 11 ( 2 ). | |
dc.identifier.citedreference | Wang, R., Tao, S., Ciais, P., Shen, H. Z., Huang, Y., Chen, H., Shen, G. F., Wang, B., Li, W., Zhang, Y. Y., Lu, Y., Zhu, D., Chen, Y. C., Liu, X. P., Wang, W. T., Liu, W. X., Li, B. G., & Piao, S. L. ( 2013 ). High‐resolution mapping of combustion processes and implications for CO 2 emissions, Atmos. Chem. Phys., 13, 5189‐5203Watts, M. (2017) cities spearhead climate action. Nature Climate Change, 7, 537 – 538. | |
dc.identifier.citedreference | Watts, M. ( 2017 ). Cities spearhead climate action. Nature Climate Change, 7, 937 – 938. | |
dc.identifier.citedreference | Wu, L., Broquet, G., Ciais, P., Bellassen, V., Vogel, F., Chevallier, F., Xueref‐Remy, I., & Wang, Y. ( 2016 ). What would dense atmospheric observation networks bring to the quantification of city CO 2 emissions? Atmospheric Chemistry and Physics, 16 ( 12 ), 7743 – 7771. https://doi.org/10.5194/acp‐16‐7743‐2016 | |
dc.identifier.citedreference | Zhang, X., Gurney, K. R., Rayner, P., Baker, D., & Liu, Y.‐P. ( 2015 ). Sensitivity of simulated CO 2 concentration to sub‐annual variations in fossil fuel CO 2 emissions. Atmospheric Chemistry and Physics Discussions, 15 ( 14 ), 20,679 – 20,708. https://doi.org/10.5194/acpd‐15‐20679‐2015 | |
dc.identifier.citedreference | Zhao, T., Horner, M. W., & Sulik, J. ( 2011 ). A geographic approach to sectoral carbon inventory: Examining the balance between consumption‐based emissions and land‐use carbon sequestration in Florida. Annals of the Association of American Geographers, 101 ( 4 ), 752 – 763. https://doi.org/10.1080/00045608.2011.567936 | |
dc.identifier.citedreference | Zhou, Y., & Gurney, K. ( 2010 ). A new methodology for quantifying on‐site residential and commercial fossil fuel CO 2 emissions at the building spatial scale and hourly time scale. Carbon Management, 1 ( 1 ), 45 – 56. https://doi.org/10.4155/cmt.10.7 | |
dc.identifier.citedreference | Andres, R. J., Boden, T. A., Bréon, F., Ciais, P., Davis, S., Erickson, D., Gregg, J. S., Jacobson, A., Marland, G., Miller, J., Oda, T., Olivier, J. G. J., Raupach, M. R., Rayner, P., & Treanton, K. ( 2012 ). A synthesis of carbon dioxide emissions from fossil‐fuel combustion. Biogeosciences Discussions, 9 ( 1 ), 1299 – 1376. https://doi.org/10.5194/bgd‐9‐1299‐2012 | |
dc.identifier.citedreference | Andres, R. J., Boden, T. A., & Higdon, D. M. ( 2016 ). Gridded uncertainty in fossil fuel carbon dioxide emission maps, a CDIAC example. Atmospheric Chemistry and Physics, 16 ( 23 ), 14,979 – 14,995. https://doi.org/10.5194/acp‐16‐14979‐2016, https://doi.org/10.5194/acp‐16‐14979‐2016 | |
dc.identifier.citedreference | Andres, R. J., Fielding, D. J., Marland, G., Boden, T. A., Kumar, N., & Kearney, A. T. ( 1999 ). Carbon dioxide emissions from fossil fuel use, 1751–1950. Tellus Series B: Chemical and Physical Meteorology, 51 ( 4 ), 759 – 765. https://doi.org/10.1034/j.1600‐0889.1999.t01‐3‐00002.x | |
dc.identifier.citedreference | Andres, R. J., Marland, G., Fung, I., & Matthews, E. ( 1996 ). A 1° × 1° distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture, 1950–1990. Global Biogeochemical Cycles, 10 ( 3 ), 419 – 429. https://doi.org/10.1029/96GB01523 | |
dc.identifier.citedreference | Asefi‐Najafabady, S., Rayner, P. J., Gurney, K. R., McRobert, A., Song, Y., Coltin, K., & Baugh, K. ( 2014 ). A multiyear, global gridded fossil fuel CO 2 emission data product: Evaluation and analysis of results. Journal of Geophysical Research: Atmospheres, 119, 10,213 – 10,231. https://doi.org/10.1002/2013JD021296 | |
dc.identifier.citedreference | Boden, T. A., Marland, G., & Andres, R. J. ( 1995 ). Estimates of global, regional, and national annual CO 2 emissions from fossil‐fuel burning, hydraulic cement production, and gas flaring: 1950–1992. ORNL/CDIAC‐90, NDP‐30/R6. Oak Ridge, TN: Oak Ridge National Laboratory, U.S. Department of Energy. | |
dc.identifier.citedreference | Boden, T. A., Marland, G., & Andres, R. J. ( 2013 ). Global, Regional, and National Fossil‐Fuel CO 2 Emissions (Vol. 53, pp. 1689 – 1699 ). Oak Ridge, TN: Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy. https://doi.org/10.3334/CDIAC/00001_V2013 | |
dc.identifier.citedreference | Boden, T. A., Marland, G., & Andres, R. J. ( 2017 ). Global, Regional, and National Fossil‐Fuel CO 2 Emissions (Vol. 53, pp. 1689 – 1699 ). Oak Ridge, TN: Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, U.S. Department of Energy. https://doi.org/10.3334/CDIAC/00001_V2017 | |
dc.identifier.citedreference | Brioude, J., Angevine, W. M., Ahmadov, R., Kim, S. W., Evan, S., McKeen, S. A., Hsie, E.‐Y., Frost, G. J., Neuman, J. A., Pollack, I. B., Peischl, J., Ryerson, T. B., Holloway, J., Brown, S. S., Nowak, J. B., Roberts, J. M., Wofsy, S. C., Santoni, G. W., Oda, T., & Trainer, M. ( 2013 ). Top‐down estimate of surface flux in the Los Angeles Basin using a mesoscale inverse modeling technique: Assessing anthropogenic emissions of CO, NO x and CO 2 and their impacts. Atmospheric Chemistry and Physics, 13 ( 7 ), 3661 – 3677. https://doi.org/10.5194/acp‐13‐3661‐2013 | |
dc.identifier.citedreference | Brondfield, M. N., Hutyra, L. R., Gately, C. K., Raciti, S. M., & Peterson, S. a. ( 2012 ). Modeling and validation of on‐road CO 2 emissions inventories at the urban regional scale. Environmental Pollution, 170, 113 – 123. https://doi.org/10.1016/j.envpol.2012.06.003 | |
dc.identifier.citedreference | Bulkeley, H. ( 2010 ). Cities and the governing of climate change. Annual Review of Environment and Resources, 35 ( 1 ), 229 – 253. https://doi.org/10.1146/annurev‐environ‐072809‐101747 | |
dc.identifier.citedreference | Doll, C. H., Muller, J.‐P., & Elvidge, C. D. ( 2000 ). Night‐time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions. Ambio: A Journal of the Human Environment, 29 ( 3 ), 157 – 162. https://doi.org/10.1579/0044‐7447‐29.3.157 | |
dc.identifier.citedreference | Duren, R. M., & Miller, C. E. ( 2012 ). Measuring the carbon emissions of megacities. Nature Climate Change, 2 ( 8 ), 560 – 562. https://doi.org/10.1038/nclimate1629 | |
dc.identifier.citedreference | Engelen, R. J., Denning, A. S., & Gurney, K. R. ( 2002 ). On error estimation in atmospheric CO 2 inversions. Journal of Geophysical Research, 107 ( D22 ), 4635. https://doi.org/10.1029/2002JD002195 | |
dc.identifier.citedreference | Enting, I. ( 2002 ). Inverse Problems in Atmospheric Constituent Transport. New York: Cambridge University Press. https://doi.org/10.1017/CBO9780511535741 | |
dc.identifier.citedreference | Erickson, D. J., Mills, R. T., Gregg, J., Blasing, T. J., Hoffman, F. M., Andres, R. J., Devries, M., Zhu, Z., & Kawa, S. R. ( 2008 ). An estimate of monthly global emissions of anthropogenics CO 2: Impact on the seasonal cycle of atmospheric CO 2. Journal of Geophysical Research, 113, G01023. https://doi.org/10.1029/2007JG000435 | |
dc.identifier.citedreference | Federal Register ( 2015 ). 40 CFR Part 60, Carbon Pollution Emission Guidelines for Existing Stationary Sources: Electric Utility Generating Units; Final Rule Environmental Protection Agency. | |
dc.identifier.citedreference | Feng, S., Lauvaux, T., Newman, S., Rao, P., Ahmadov, R., Deng, A., Díaz‐Isaac, L. I., Duren, R. M., Fischer, M. L., Gerbig, C., Gurney, K. R., Huang, J., Jeong, S., Li, Z., Miller, C. E., apos, D. K., Patarasuk, R., Sander, S. P., Song, Y., Wong, K. W., & Yung, Y. L. ( 2016 ). Los Angeles megacity: A high‐resolution land‐atmosphere modelling system for urban CO 2 emissions. Atmospheric Chemistry and Physics, 16 ( 14 ), 9019 – 9045. https://doi.org/10.5194/acp‐16‐9019‐2016 | |
dc.identifier.citedreference | Gately, C. K., & Hutyra, L. R. ( 2017 ). Large uncertainties in urban‐scale carbon emissions. Journal of Geophysical Research: Atmospheres, 122, 11,242 – 11,260. https://doi.org/10.1002/2017JD027359 | |
dc.identifier.citedreference | Gately, C. K., Hutyra, L. R., Wing, I. S., & Brondfield, M. N. ( 2013 ). A bottom up approach to on‐road CO 2 emissions estimates: Improved spatial accuracy and applications for regional planning. Environmental Science and Technology, 47 ( 5 ), 2423 – 2430. https://doi.org/10.1021/es304238v | |
dc.identifier.citedreference | Ghosh, T., Elvidge, C. D., Sutton, P. C., Baugh, K. E., Ziskin, D., & Tuttle, B. T. ( 2010 ). Creating a global grid of distributed fossil fuel CO 2 emissions from nighttime satellite imagery. Energies, 3 ( 12 ), 1895 – 1913. https://doi.org/10.3390/en3121895 | |
dc.identifier.citedreference | Global Covenant of Mayors (GCoM) ( 2018 ). https://www.globalcovenantofmayors.org/ | |
dc.identifier.citedreference | Goodfriend, W., Reyes, B., & Pac, S. ( 2017 ). 2015 San Francisco Geographic Greenhouse Gas Emissions Inventory at a Glance, San Francisco Department of Environment, Climate Program. Retrieved from https://sfenvironment.org/sites/default/files/fliers/files/sfe_cc_2015_community_inventory_report.pdf (accessed August 31, 2018). | |
dc.identifier.citedreference | Gregg, J. S., & Andres, R. J. ( 2008 ). A method for estimating the temporal and spatial patterns of carbon dioxide emissions from national fossil‐fuel consumption. Tellus Series B: Chemical and Physical Meteorology, 60 ( B1 ), 1 – 10. https://doi.org/10.1111/j.1600‐0889.2007.00319.x | |
dc.identifier.citedreference | Gregg, J. S., Losey, L. M., Andres, R. J., Blasing, T. J., & Marland, G. ( 2009 ). The temporal and spatial distribution of carbon dioxide emissions from fossil‐fuel use in North America. Journal of Applied Meteorology and Climatology, 48 ( 12 ), 2528 – 2542. https://doi.org/10.1175/2009JAMC2115.1 | |
dc.identifier.citedreference | Gurney, K. R. ( 2014 ). The urban landscape: Recent research quantifying carbon emissions down to the street level. Carbon Management, 5 ( 3 ), 309 – 320. https://doi.org/10.1080/17583004.2014.986849 | |
dc.identifier.citedreference | Gurney, K. R., Chen, Y. H., Maki, T., Kawa, S. R., Andrews, A., & Zhu, Z. ( 2005 ). Sensitivity of atmospheric CO 2 inversions to seasonal and interannual variations in fossil fuel emissions. Journal of Geophysical Research, 110, D10308. https://doi.org/10.1029/2004JD005373 | |
dc.identifier.citedreference | Gurney, K. R., Huang, J., & Coltin, K. ( 2016 ). Bias present in US federal agency power plant CO 2 emissions data and implications for the US clean power plan. Environmental Research Letters, 11 ( 6 ). https://doi.org/10.1088/1748‐9326/11/6/064005 | |
dc.identifier.citedreference | Gurney, K. R., Law, R. M., Denning, A. S., Rayner, P. J., Baker, D., Bousquet, P., Bruhwiler, L., Chen, Y. H., Ciais, P., Fan, S., Fung, I. Y., Gloor, M., Heimann, M., Higuchi, K., John, J., Maki, T., Maksyutov, S., Masarie, K., Peylin, P., Prather, M., Pak, B. C., Randerson, J., Sarmiento, J., Taguchi, S., Takahashi, T., & Yuen, C. W. ( 2002 ). Towards robust regional estimates of CO 2 sources and sinks using atmospheric transport models. Nature, 415 ( 6872 ), 626 – 630. https://doi.org/10.1038/415626a | |
dc.identifier.citedreference | Gurney, K. R., Liang, J., Patarasuk, R., O’Keeffe, D., Huang, J., Hutchins, M., Lauvaux, T., Turnbull, J. C., & Shepson, P. B. ( 2017 ). Reconciling the differences between a bottom‐up and inverse‐estimated FFCO 2 emissions estimate in a large US urban area. Elementa: Science of the Anthropocene, 5 ( 0 ), 44. https://doi.org/10.1525/elementa.137 | |
dc.identifier.citedreference | Gurney, K. R., Mendoza, D. L., Zhou, Y., Fischer, M. L., Miller, C. C., Geethakumar, S., & de la Rue du Can, S. ( 2009 ). High resolution fossil fuel combustion CO 2 emission fluxes for the United States. Environmental Science & Technology, 43 ( 14 ), 5535 – 5541. https://doi.org/10.1021/es900806c | |
dc.identifier.citedreference | Gurney, K. R., Razlivanov, I., Song, Y., Zhou, Y., Benes, B., & Abdul‐Massih, M. ( 2012 ). Quantification of fossil fuel CO 2 emissions on the building/street scale for a large U.S. City. Environmental Science and Technology, 46 ( 21 ), 12,194 – 12,202. https://doi.org/10.1021/es3011282 | |
dc.identifier.citedreference | Gurney, K. R., Romero‐Lankao, P., Seto, K. C., Hutyra, L. R., Duren, R., Kennedy, C., Grimm, N. B., Ehleringer, J. R., Marcotullio, P., Hughes, S., Pincetl, S., Chester, M. V., Runfola, D. M., Feddema, J. J., & Sperling, J. ( 2015 ). Climate change: Track urban emissions on a human scale. Nature, 525 ( 7568 ), 179 – 181. https://doi.org/10.1038/525179a | |
dc.identifier.citedreference | Hartmann, D. ( 1998 ). Global warming: The complete briefing. Eos, Transactions of the American Geophysical Union, 79 ( 33 ), 396. https://doi.org/10.1029/98EO00304 | |
dc.identifier.citedreference | Hogue, S., Marland, E., Andres, R. J., Marland, G., & Woodard, D. ( 2016 ). Uncertainty in gridded CO 2 emissions estimates. Earth’s Future, 4, 225 – 239. https://doi.org/10.1002/2015EF000343 | |
dc.identifier.citedreference | Hsu, A., Moffat, A. S., Weinfurter, A. J., & Schwartz, J. D. ( 2015 ). Towards a new climate diplomacy. Nature Climate Change, 5 ( 6 ), 501 – 503. https://doi.org/10.1038/nclimate2594 | |
dc.identifier.citedreference | Hsu, A., Weinfurter, A. J., & Xu, K. ( 2017 ). Aligning subnational climate actions for the new post‐Paris climate regime. Climatic Change, 142 ( 3–4 ), 419 – 432. https://doi.org/10.1007/s10584‐017‐1957‐5 | |
dc.identifier.citedreference | Hutchins, M. G., Colby, J. D., Marland, G., & Marland, E. ( 2016 ). A comparison of five high‐resolution spatially‐explicit, fossil‐fuel, carbon dioxide emission inventories for the United States. Mitigation and Adaptation Strategies for Global Change, 22 ( 6 ), 947 – 972. https://doi.org/10.1007/s11027‐016‐9709‐9 | |
dc.identifier.citedreference | Hutyra, L. R., Duren, R., Gurney, K. R., Grimm, N., Kort, E. A., Larson, E., & Shrestha, G. ( 2014 ). Urbanization and the carbon cycle: Current capabilities and research outlook from the natural sciences perspective. Earth’s Future, 2, 473 – 495. https://doi.org/10.1002/2014EF000255 | |
dc.identifier.citedreference | Janssens‐Maenhout, G., Dentener, F., van Aardenne, J., Monni, S., Pagliari, V., Orlandini, L., Klimont, S., Kurokawa, J., Akimoto, H., Ohara, T., Wankmuller, R., Battye, B., Grano, D., Zuber, A., Keating, T. ( 2012 ). EDGAR‐HTAP: A harmonized gridded air pollution emission dataset based on national inventories, JRC scientific and technical reports, EUA 25229 EN‐2012. | |
dc.identifier.citedreference | Jones, C., & Kammen, D. M. ( 2014 ). Spatial distribution of U.S. household carbon footprints reveals suburbanization undermines greenhouse gas benefits of urban population density. Environmental Science and Technology, 48 ( 2 ), 895 – 902. https://doi.org/10.1021/es4034364 | |
dc.identifier.citedreference | Kennedy, C., Steinberger, J., Gasson, B., Hansen, Y., Hillman, T., Havranek, M., Pataki, D., Phdungsilp, A., Ramaswami, A., & Villalba Mendez, G. ( 2009 ). Greenhouse gas emissions from global cities. Environmental Science & Technology, 43 ( 19 ), 7297 – 7302. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/19848137, https://doi.org/10.1021/es900213p | |
dc.identifier.citedreference | Lauvaux, T., Miles, N. L., Deng, A., Richardson, S. J., Cambaliza, M. O., Davis, K. J., Gaudet, B., Gurney, K. R., Huang, J., O’Keeffe, D., Song, Y., Karion, A., Oda, T., Patarasuk, R., Sarmiento, D., Shepson, P., Sweeney, C., Turnbull, J., & Wu, K. ( 2016 ). High‐resolution atmospheric inversion of urban CO 2 emissions during the dormant season of the Indianapolis flux experiment (INFLUX). Journal of Geophysical Research: Atmospheres, 121, 5213 – 5236. https://doi.org/10.1002/2015JD024473 | |
dc.identifier.citedreference | Le Quéré, C., Andres, R. J., Boden, T., Conway, T., Houghton, R. A., House, J. I., Marland, G., Peters, G. P., van der Werf, G. R., Ahlström, A., Andrew, R. M., Bopp, L., Canadell, J. G., Ciais, P., Doney, S. C., Enright, C., Friedlingstein, P., Huntingford, C., Jain, A. K., Jourdain, C., Kato, E., Keeling, R. F., Klein Goldewijk, K., Levis, S., Levy, P., Lomas, M., Poulter, B., Raupach, M. R., Schwinger, J., Sitch, S., Stocker, B. D., Viovy, N., Zaehle, S., & Zeng, N. ( 2013 ). The global carbon budget 1959–2011. Earth System Science Data, 5 ( 1 ), 165 – 185. https://doi.org/10.5194/essd‐5‐165‐2013 | |
dc.identifier.citedreference | Levin, N., & Duke, Y. ( 2012 ). High spatial resolution night‐time light images for demographic and socio‐economic studies. Remote Sensing of Environment, 119, 1 – 10. https://doi.org/10.1016/j.rse.2011.12.005 | |
dc.identifier.citedreference | Liang, J., Gurney, K. R., O’Keeffe, D., Hutchins, M., Patarasuk, R., Huang, J., Song, Y., & Rao, P. ( 2017 ). Optimizing the spatial resolution for urban CO 2 flux studies using the Shannon entropy. Atmosphere, 8 ( 12 ). https://doi.org/10.3390/atmos8050090 | |
dc.identifier.citedreference | Liu, J., Bowman, K., Schimel, D., Parazoo, N., Jiang, Z., Lee, M., Bloom, A., Wunch, D., Gurney, K. R., Menemenlis, D., Girerach, M., Crisp, D., & Eldering, A. ( 2017 ). Contrasting carbon cycle responses of the tropical continents to the 2015–2016 El Niño. Science, 358 ( 6360 ), eaam5690. https://doi.org/10.1126/science.aam5690 | |
dc.identifier.citedreference | Macknick, J. ( 2011 ). Energy and CO 2 emission data uncertainties. Carbon Management, 2 ( 2 ), 189 – 205. https://doi.org/10.4155/cmt.11.10 | |
dc.identifier.citedreference | Madhani, A. ( 2017 ). Forget Paris: U.S. mayors sign their own pact after Trump ditches climate accord. USA Today. | |
dc.identifier.citedreference | Marland, G., Rotty, R. M., & Treat, N. L. ( 1985 ). CO 2 from fossil fuel burning: Global distribution of emissions. Tellus B, 37B ( 4–5 ), 243 – 258. https://doi.org/10.1111/j.1600‐0889.1985.tb00073.x | |
dc.identifier.citedreference | Schuh, A. E., Denning, A. S., Corbin, K. D., Baker, I. T., Uliasz, M., Parazoo, N., Andrews, A. E., & Worth, D. E. J. ( 2010 ). A regional high‐resolution carbon flux inversion of North American for 2004. Biogeosciences, 7 ( 5 ), 1625 – 1644. https://doi.org/10.5194/bg‐7‐1625‐2010 | |
dc.identifier.citedreference | McKain, K., Wofsy, S. C., Nehrkorn, T., Eluszkiewicz, J., Ehleringer, J. R., & Stephens, B. B. ( 2012 ). Assessment of ground‐based atmospheric observations for verification of greenhouse gas emissions from an urban region. Proceedings of the National Academy of Sciences, 109 ( 22 ), 8423 – 8428. https://doi.org/10.1073/pnas.1116645109 | |
dc.identifier.citedreference | Mitchell, L. E., Lin, J. C., Bowling, D. R., Pataki, D. E., Strong, C., Schauer, A. J., Bares, R., Bush, S. E., Stephens, B. B., Mendoza, D., Mallia, D., Holland, L., Gurney, K. R., & Ehleringer, J. R. ( 2018 ). Long‐term urban carbon dioxide observations reveal spatial and temporal dynamics related to urban characteristics and growth. Proceedings of the National Academy of Sciences of the United States of America, 115 ( 12 ), 2912 – 2917. https://doi.org/10.1073/pnas.1702393115 | |
dc.identifier.citedreference | Nassar, R., Napier‐Linton, L., Gurney, K. R., Andres, R. J., Oda, T., Vogel, F. R., & Deng, F. ( 2013 ). Improving the temporal and spatial distribution of CO 2 emissions from global fossil fuel emission data sets. Journal of Geophysical Research: Atmospheres, 118, 917 – 933. https://doi.org/10.1029/2012JD018196 | |
dc.identifier.citedreference | New York Times ( 2017 ). U.S. Climate Change Policy: Made in California, The New York Times, September 27, 2017. Retrieved from https://www.nytimes.com/2017/09/27/climate/california‐climate‐change.html | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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