Organization
Northern Arizona University
Arizona State University
Email
Business Address
Northern Arizona University
1295 S. Knoles
Bldg 90, room 320
flagstaff, AZ 86011
United States
Website
First Author Publications
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Gurney, K., et al. (2021), Under-reporting of greenhouse gas emissions in U.S. cities, Nature, doi:10.1038/s41467-020-20871-0.
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Gurney, K., et al. (2020), The Vulcan Version 3.0 High‐Resolution Fossil Fuel CO2 Emissions for the United States, J. Geophys. Res., 125, e2020JD032974, doi:10.1029/2020JD032974.
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Gurney, K., et al. (2015), Track urban emissions on a human scale, Nature, 525, 179-181, doi:10.1038/525179a.
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Gurney, K., et al. (2012), Quantification of Fossil Fuel CO2 Emissions on the Building/Street Scale for a Large U.S. City, Environ. Sci. Technol., 46, 12194-12202, doi:10.1021/es3011282.
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Gurney, K. (2011), Observing human CO2 emissions, Carbon Management, 2 (3), 223-226.
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Gurney, K., et al. (2009), The Vulcan Project: High resolution fossil fuel combustion CO2 emissions fluxes for the United States, Environ. Sci. Technol., 43, 5535-5541, doi:10.1021/es900806c.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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Basu, S., et al. (2020), Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1919032117/-/DCSupplemental.y.
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Bowman, K.W., et al. (2019), Global and Brazilian carbon response to El Niño Modoki 2011-2010, Earth And Space Science(submitted), doi:10.1002/.
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Wang, Y., et al. (2019), A global map of emission clumps for future monitoring of fossil fuel CO2 emissions from space, Earth Syst. Sci. Data, 11, 687-703, doi:10.5194/essd-11-687-2019.
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Hedelius, J.K., et al. (2018), Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model, Atmos. Chem. Phys., 18, 16271-16291, doi:10.5194/acp-18-16271-2018.
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Hedelius, J.K., et al. (2018), Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model, Ca, doi:https://doi.org/10.5194/acp-18-16271-2018.
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Hedelius, J.K., et al. (2018), Southern California megacity CO2, CH4, and CO flux estimates using ground- and space-based remote sensing and a Lagrangian model, Atmos. Chem. Phys., 18, 16271-16291, doi:10.5194/acp-18-16271-2018.
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Fischer, M.L., et al. (2017), Simulating estimation of California fossil fuel and biosphere carbon dioxide exchanges combining in situ tower and satellite column observations, J. Geophys. Res., 122, doi:10.1002/2016JD025617.
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Huang, J., and K. Gurney (2017), Impact of climate change on U.S. building energy demand: Financial implications for consumers and energy suppliers, Energy and Buildings, 139, 747-754, doi:10.1016/j.enbuild.2017.01.077.
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Liu, J., et al. (2017), R ES E A RC H | R E MO T E S E NS I NG, Science, 358, eaam5690, doi:10.1126/science.aam5690.
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Huang, J., and K. Gurney (2016), Impact of climate change on U.S. building energy demand: sensitivity to spatiotemporal scales, balance point temperature, and population distribution, Climatic Change, 2, doi:10.1007/s10584-016-1681-6.
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Huang, J., and K. Gurney (2016), The variation of climate change impact on building energy consumption to building type and spatiotemporal scale, Energy, 111, 137-153, doi:10.1016/j.energy.2016.05.118.
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Wong, C.K., et al. (2016), Monthly trends of methane emissions in Los Angeles from 2011 to 2015 inferred by CLARS-FTS observations, Atmos. Chem. Phys., 16, 13121-13130, doi:10.5194/acp-16-13121-2016.
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Hutyra, L.R., et al. (2014), Urbanization and the carbon cycle: Current capabilities and research outlook from the natural sciences perspective, Earth’s Future, 2, 473-495, doi:10.1002/2014EF000255.
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Mendoza, D., et al. (2013), Implications of uncertainty on regional CO2 mitigation policies for the U.S. onroad sector based on a high-resolution emissions estimate, Energy Policy, 55, 386-395, doi:10.1016/j.enpol.2012.12.027.
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Brioude, ., et al. (2012), A new inversion method to calculate emission inventories without a prior at mesoscale: Application to the anthropogenic CO2 emission from Houston, Texas, J. Geophys. Res., 117, D05312, doi:10.1029/2011JD016918.
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Corbin, K., et al. (2010), The space and time impacts on U.S. regional atmospheric CO2 concentrations from a high resolution fossil fuel CO2 emissions inventory, Tellus, 62B, 506-511, doi:10.1111/j.1600-0889.2010.00480.x.
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Parshall, L., et al. (2010), Modeling Energy Consumption and CO2 Emissions at the Urban Scale: Methodological Challenges and Insights from the United States, Energy Policy, 38 (9), 4765-4782, doi:10.1016/j.enpol.2009.07.006.
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Zhou, Y., and K. Gurney (2010), Spatial relationships of sector-specific fossil fuel CO2 emissions in the United States, Global Biogeochem. Cycles, 25.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
