Kevin Gurney

Organization

Northern Arizona University

Arizona State University

Email

Contact person by email

Business Address

Northern Arizona University
1295 S. Knoles
Bldg 90, room 320
flagstaff, AZ 86011
United States

Website

Professor

First Author Publications

Gurney, K., et al. (2021), Under-reporting of greenhouse gas emissions in U.S. cities, Nature, doi:10.1038/s41467-020-20871-0.
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.
Gurney, K., et al. (2015), Track urban emissions on a human scale, Nature, 525, 179-181, doi:10.1038/525179a.
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.
Gurney, K. (2011), Observing human CO2 emissions, Carbon Management, 2 (3), 223-226.
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

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.
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/.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

National Aeronautics and Space Administration

National Aeronautics and
Space Administration