Organization
NASA Goddard Space Flight Center
Universities Space Research Association
First Author Publications
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Oda, T., et al. (2018), The Open-source Data Inventory for Anthropogenic CO2 , version 2016 (ODIAC2016): a global monthly fossil fuel CO2 gridded emissions data product for tracer transport simulations and surface flux inversions, Earth Syst. Sci. Data, 10, 87-107, doi:10.5194/essd-10-87-2018.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.
Co-Authored Publications
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Liu, J., et al. (2021), Carbon Monitoring System Flux Net Biosphere Exchange 2020 (CMS-Flux NBE 2020), Earth Syst. Sci. Data, 13, 299-330, doi:10.5194/essd-13-299-2021.
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Pan, X., et al. (2020), Six global biomass burning emission datasets: intercomparison and application in one global aerosol model, Atmos. Chem. Phys., 20, 969-994, doi:10.5194/acp-20-969-2020.
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Wu, D.E., et al. (2020), Space-based quantification of per capita CO2 emissions from cities, Environmental Research Letters, 15, 035004, doi:10.1088/1748-9326/ab68eb.
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Yang, E.G., et al. (2020), Using Space‐Based Observations and Lagrangian Modeling to Evaluate Urban Carbon Dioxide Emissions in the Middle East, J. Geophys. Res., 125, e2019JD031922, doi:10.1029/2019JD031922.
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Crowell, S., et al. (2019), The 2015–2016 carbon cycle as seen from OCO-2 and the global in situ network, Atmos. Chem. Phys., 19, 9797-9831, doi:10.5194/acp-19-9797-2019.
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Goldberg, D.L., et al. (2019), Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities☆, Science of the Total Environment, 695, 133805, doi:10.1016/j.scitotenv.2019.133805.
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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, 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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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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Wu, D., et al. (2018), A Lagrangian approach towards extracting signals of urban CO2 emissions from satellite observations of atmospheric column CO2 (XCO2): X-Stochastic Time-Inverted Lagrangian Transport model (“X-STILT v1”), Geosci. Model. Dev., 11, 4843-4871, doi:10.5194/gmd-11-4843-2018.
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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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Kulawik, S.S., et al. (2016), Consistent evaluation of ACOS-GOSAT, BESD-SCIAMACHY, CarbonTracker, and MACC through comparisons to TCCON, Atmos. Meas. Tech., 9, 683-709, doi:10.5194/amt-9-683-2016.
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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.
Note: Only publications that have been uploaded to the ESD Publications database are listed here.