Zhen Qu

Liang, R., Zhang, Y., Chen, W., Zhang, P., Liu, J., Chen, C., … Aben, I. (2023). East Asian methane emissions inferred from high-resolution inversions of GOSAT and TROPOMI observations: a comparative and evaluative analysis. ATMOSPHERIC CHEMISTRY AND PHYSICS, 23(14), 8039–8057. https://doi.org/10.5194/acp-23-8039-2023

Lu, X., Jacob, D. J., Zhang, Y., Shen, L., Sulprizio, M. P., Maasakkers, J. D., … Fan, S. (2023). Observation-derived 2010-2019 trends in methane emissions and intensities from US oil and fields tied to metrics. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 120(17). https://doi.org/10.1073/pnas.2217900120

Qu, Z., Jacob, D. J., Zhang, Y., Shen, L., Varon, D. J., Lu, X., … Parker, R. (2022). Attribution of the 2020 surge in atmospheric methane by inverse analysis of GOSAT observations. Environmental Research Letters, 17(9), 094003. https://doi.org/10.1088/1748-9326/ac8754

Varon, D., Jacob, D. J., Sulprizio, M., Estrada, L. A., Downs, W. B., Shen, L., … Randles, C. A. (2022). Integrated Methane Inversion (IMI 1.0): a user-friendly, cloud-based facility for inferring high-resolution methane emissions from TROPOMI satellite observations. Geoscientific Model Development, 15(14), 5787–5805. https://doi.org/10.5194/gmd-15-5787-2022

Chen, Z., Jacob, D. J., Nesser, H., Sulprizio, M. P., Lorente, A., Varon, D., … Yu, X. (2022). Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations. Atmospheric Chemistry and Physics, 22(16), 10809–10826. https://doi.org/10.5194/acp-22-10809-2022

Lu, X., Jacob, D. J., Wang, H., Maasakkers, J., Zhang, Y., Scarpelli, T. R., … Andrews, A. (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 CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations. Atmospheric Chemistry and Physics, 22(1), 395–418. https://doi.org/10.5194/acp-22-395-2022

Jacob, D. J., Varon, D., Cusworth, D. H., Dennison, P. E., Frankenberg, C., Gautam, R., … Duren, R. M. (2022). Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane. Atmospheric Chemistry and Physics, 22(14), 9617–9646. https://doi.org/10.5194/acp-22-9617-2022

Shen, L., Gautam, R., Omara, M., Zavala-Araiza, D., Maasakkers, J., Scarpelli, T., … Jacob, D. J. (2022). Satellite quantification of oil and natural gas methane emissions in the US and Canada including contributions from individual basins. Atmospheric Chemistry and Physics, 22(17), 11203–11215. https://doi.org/10.5194/acp-22-11203-2022

Balamurugan, V., Chen, J., Qu, Z., Bi, X., & Keutsch, F. N. (2022). Secondary PM2.5 decreases significantly less than NO2 emission reductions during COVID lockdown in Germany. Atmospheric Chemistry and Physics, 22(11), 7105–7129. https://doi.org/10.5194/acp-22-7105-2022

Qu, Z., HENZE, D. A. V. E. N., Worden, H., Jiang, Z., Gaubert, B., Theys, N., & wei. (2022). Sector‐Based Top‐Down Estimates of NOx, SO2, and CO Emissions in East Asia. Geophysical Research Letters, 49(2). https://doi.org/10.1029/2021gl096009

Worden, J. R., Cusworth, D. H., Qu, Z., Yin, Y., Zhang, Y., Bloom, A. A., … Jacob, D. J. (2022). The 2019 methane budget and uncertainties at 1° resolution and each country through Bayesian integration Of GOSAT total column methane data  and a priori inventory estimates. Atmospheric Chemistry and Physics, 22(10), 6811–6841. https://doi.org/10.5194/acp-22-6811-2022

Scarpelli, T., Jacob, D. J., Grossman, S., Lu, X., Qu, Z., Sulprizio, M. P., … Worden, J. R. (2022). Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations. Atmospheric Chemistry and Physics, 22(5), 3235–3249. https://doi.org/10.5194/acp-22-3235-2022

Cusworth, D. H., Bloom, A. A., Ma, S., Miller, C., Bowman, K., Yin, Y., … Worden, J. (2021). A Bayesian framework for deriving sector-based methane emissions from top-down fluxes. Communications Earth  Environment, 2(1). https://doi.org/10.1038/s43247-021-00312-6

Qu, Z., Jacob, D. J., Shen, L., Lu, X., Zhang, Y., Scarpelli, T. R., … Lorente, A. (2021). Global distribution of methane emissions: a comparative inverse analysis of observations from the TROPOMI and GOSAT satellite instruments. Atmospheric Chemistry and Physics, 21(18), 14159–14175. https://doi.org/10.5194/acp-21-14159-2021

Nawaz, M. O., Henze, D. K., Harkins, C., Cao, H., Nault, B., Jo, D., … Qu, Z. (2021). Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington, DC. Elementa: Science of the Anthropocene, 9(1). https://doi.org/10.1525/elementa.2021.00043

Campbell, P. C., Tong, D., Tang, Y., Baker, B., Lee, P., Saylor, R., … Qu, Z. (2021). Impacts of the COVID-19 economic slowdown on ozone pollution in the U.S. Atmospheric Environment, 264, 118713. https://doi.org/10.1016/j.atmosenv.2021.118713

Qu, Z., Wu, D., Henze, D. K., Li, Y., Sonenberg, M., & Mao, F. (2021). Transboundary transport of ozone pollution to a US border region: A case study of Yuma. Environmental Pollution, 273, 116421. https://doi.org/10.1016/j.envpol.2020.116421

Balamurugan, V., Chen, J., Qu, Z., Bi, X., Gensheimer, J., Shekhar, A., … keutsch. (2021). Tropospheric NO2 and O3 Response to COVID‐19 Lockdown Restrictions at the National and Urban Scales in Germany. Journal of Geophysical Research: Atmospheres, 126(19). https://doi.org/10.1029/2021jd035440

Qu, Z., Jacob, D. J., Silvern, R. F., Shah, V., Campbell, P. C., Valin, L., & Murray, L. T. (2021). US COVID‐19 Shutdown Demonstrates Importance of Background NO2 in Inferring NOx Emissions From Satellite NO2 Observations. Geophysical Research Letters, 48(10). https://doi.org/10.1029/2021gl092783

Shen, L., Zavala-Araiza, D., Gautam, R., Omara, M., Scarpelli, T., Sheng, J., … Jacob, D. J. (2021). Unravelling a large methane emission discrepancy in Mexico using satellite observations. Remote Sensing of Environment, 260, 112461. https://doi.org/10.1016/j.rse.2021.112461

Zhang, Y., Jacob, D. J., Lu, X., Maasakkers, J., Scarpelli, T. R., Sheng, J., … Boesch, H. (2020, September 25). Attribution  of  the accelerating  increase  in  atmospheric  methane  during 2010–2018 by inverse analysis of GOSAT observations (Vol. 9). Vol. 9. https://doi.org/10.5194/acp-2020-964

Lu, X., Jacob, D. J., Zhang, Y., Maasakkers, J., Sulprizio, M. P., Shen, L., … Ma, S. (2020, September 17). Global methane budget and trend, 2010–2017: complementarity of inverse analyses  using in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) observations (Vol. 9). Vol. 9. https://doi.org/10.5194/acp-2020-775

Qu, Z., Henze, D. K., Cooper, O. R., & Neu, J. L. (2020). Impacts of global NOx inversions on NO2 and ozone simulations. Atmospheric Chemistry and Physics, 20(21), 13109–13130. https://doi.org/10.5194/acp-20-13109-2020

Elguindi, N., Granier, C., Stavrakou, T., Darras, S., Bauwens, M., Cao, H., … Zheng, B. (2020). Intercomparison of Magnitudes and Trends in Anthropogenic Surface Emissions From Bottom‐Up Inventories, Top‐Down Estimates, and Emission Scenarios. Earth's Future, 8(8). https://doi.org/10.1029/2020ef001520

Wang, Y., Wang, J., Xu, X., Henze, D. K., Qu, Z., & Yang, K. (2020). Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 1: Formulation and sensitivity analysis. Atmospheric Chemistry and Physics, 20(11), 6631–6650. https://doi.org/10.5194/acp-20-6631-2020

Qu, Z., HENZE, D. A. V. E. N., Theys, N., Wang, J., & Wang, W. (2019). Hybrid Mass Balance/4D‐Var Joint Inversion of NOx and SO2 Emissions in East Asia. Journal of Geophysical Research: Atmospheres, 124(14), 8203–8224. https://doi.org/10.1029/2018jd030240

Qu, Z., HENZE, D. A. V. E. N., Li, C., Theys, N., Wang, Y., Wang, J., … Ren, X. (2019). SO2 Emission Estimates Using OMI SO2 Retrievals for 2005–2017. Journal of Geophysical Research: Atmospheres, 124(14), 8336–8359. https://doi.org/10.1029/2019jd030243

Jiang, Z., McDonald, B. C., Worden, H., Worden, J. R., Miyazaki, K., Qu, Z., … Boersma, K. F. (2018). Unexpected slowdown of US pollutant emission reduction in the past decade. Proceedings of the National Academy of Sciences, 115(20), 5099–5104. https://doi.org/10.1073/pnas.1801191115

Qu, Z., HENZE, D. A. V. E. N., Capps, S., Wang, Y., Xu, X., Wang, J., & Keller, M. (2017). Monthly top‐down NOx emissions for China (2005–2012): A hybrid inversion method and trend analysis. Journal of Geophysical Research: Atmospheres, 122(8), 4600–4625. https://doi.org/10.1002/2016jd025852

Wang, Y., Wang, J., Xu, X., Henze, D. K., Wang, Y., & Qu, Z. (2016). A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts. Geophysical Research Letters, 43(18), 9931–9938. https://doi.org/10.1002/2016gl070204