Publication Citation
Chen, J., et al. (2016), Differential column measurements using compact solar-tracking spectrometers, Atmos. Chem. Phys., 16, 8479-8498, doi:10.5194/acp-16-8479-2016.
Chen, Z., et al. (2023), Satellite quantification of methane emissions and oil–gas methane intensities from individual countries in the Middle East and North Africa: implications for climate action, Atmos. Chem. Phys., doi:10.5194/acp-23-5945-2023.
Chen, Z., et al. (2023), Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations, Atmos. Chem. Phys., doi:10.5194/acp-22-10809-2022.
Cusworth, D. H., et al. (2018), Detecting high-emitting methane sources in oil/gas fields using satellite observations, Atmos. Chem. Phys., 18, 16885-16896, doi:10.5194/acp-18-16885-2018.
Cusworth, D., et al. (2019), Potential of next-generation imaging spectrometers to detect and quantify methane point sources from space, Atmos. Meas. Tech., 12, 5655-5668, doi:10.5194/amt-12-5655-2019.
Decina, S. M., et al. (2016), Soil respiration contributes substantially to urban carbon fluxes in the greater Boston area, Environmental Pollution., 212, 433-439, doi:10.1016/j.envpol.2016.01.012.
Delwiche, K. B., et al. (2022), Estimating Drivers and Pathways for Hydroelectric Reservoir Methane Emissions Using a New Mechanistic Model, J. Geophys. Res., 127, e2022JG006908, doi:10.1029/2022JG006908.
Gately, C. K., et al. (2017), Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data*, Environmental Pollution, 229, 496-504, doi:10.1016/j.envpol.2017.05.091.
Gately, C. K., L. R. Hutyra, and I. S. Wing (2015), Cities, traffic, and CO2: A multidecadal assessment of trends, drivers, and scaling relationships, Proc. Natl. Acad. Sci., 112, 4999-5004, doi:10.1073/pnas.1421723112.
Gurney, K., et al. (2015), Track urban emissions on a human scale, Nature, 525, 179-181, doi:10.1038/525179a.
Hardiman, B. S., et al. (2017), Accounting for urban biogenic fluxes in regional carbon budgets, Science of The Total Environment., 592, 366-372, doi:10.1016/j.scitotenv.2017.03.028.
Jacob, D. J. (2020), SCIENCE ADVANCES | RESEARCH ARTICLE, Science.
Jacob, D. J., et al. (2023), Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane, Atmos. Chem. Phys., doi:10.5194/acp-22-9617-2022.
Lu, X., et al. (2022), Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010-2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH4 ObsPack) and satellite (GOSAT) atmospheric observations, Atmos. Chem. Phys., 22, 395-418, doi:10.5194/acp-22-395-2022.
Lu, X., et al. (2023), RESEARCH ARTICLE | EARTH, ATMOSPHERIC, AND PLANETARY SCIENCES OPEN ACCESS Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and gas fields tied to activity metrics, Proc. Natl. Acad. Sci., doi:10.1073/pnas.2217900120.
Maasakkers, J. D., et al. (2019), Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015, Atmos. Chem. Phys., 19, 7859-7881, doi:10.5194/acp-19-7859-2019.
Maasakkers, J. D., et al. (2021), 2010–2015 North American methane emissions, sectoral contributions, and trends: a high-resolution inversion of GOSAT observations of atmospheric methane, Atmos. Chem. Phys., 21, 4339-4356, doi:10.5194/acp-21-4339-2021.
McKain, K., et al. (2015), Methane emissions from natural gas infrastructure and use in the urban region of Boston, Massachusetts, Proc. Natl. Acad. Sci., 112, 1941-1946, doi:10.1073/pnas.1416261112.
Qu, Z., et al. (2022), Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations, Environ. Res. Lett., 17, 094003, doi:10.1088/1748-9326/ac8754.
Reinmann, A. B., and L. R. Hutyra (2017), Edge effects enhance carbon uptake and its vulnerability to climate change in temperate broadleaf forests, Proc. Natl. Acad. Sci., 114, 107-112, doi:10.1073/pnas.1612369114.

Pages