Publications for Aura- OMI

Publication Citation
Wang, W., X. Liu, J. Bi, and X. Liu (2022), A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology, Environment International, 158, 106917, doi:10.1016/j.envint.2021.106917.
Wei, J., S. Liu, Z. Li, C. Liu, K. Qin, X. Liu, R.T. Pinker, R.R. Dickerson, J. Lin, K.F. Boersma, L. Sun, R. Li, W. Xue, Y. Cui, C. Zhang, and J. Wang (2022), Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence, Environ. Sci. Technol., doi:10.1021/acs.est.2c03834.
Witte, J.C., B.N. Duncan, A. Douglass, T.P. Kurosu, K. Chance, and C. Retscher (2011), The unique OMI HCHO/NO2 feature during the 2008 Beijing Olympics: Implications for ozone production sensitivity, Atmos. Environ., 45, 3103-3111, doi:10.1016/j.atmosenv.2011.03.015.
Worden, J., X. Liu, K. Bowman, K. Chance, R. Beer, A. Eldering, M. Gunson, and H.M. Worden (2007), Improved tropospheric ozone profile retrievals using OMI and TES radiances, Geophys. Res. Lett., 34, L01809, doi:10.1029/2006GL027806.
Yoshida, Y., B.N. Duncan, C. Retscher, K.E. Pickering, E.A. Celarier, J. Joiner, K.F. Boersma, and P. Veefkind (2010), The impact of the 2005 Gulf hurricanes on pollution emissions as inferred from Ozone Monitoring Instrument (OMI) nitrogen dioxide, Atmos. Environ., 44, 1443-1448, doi:10.1016/j.atmosenv.2010.01.037.
Zhang, H., J. Wang, L.C. García, J. Zeng, C. Dennhardt, Y. Liu, and N.A. Krotkov (2019), Surface erythemal UV irradiance in the continental United States derived from ground-based and OMI observations: quality assessment, trend analysis and sampling issues, Atmos. Chem. Phys., 19, 2165-2181, doi:10.5194/acp-19-2165-2019.
Zhang, L., D.J. Jacob, X. Liu, J. Logan, K. Chance, A. Eldering, and B. Bojkov (2010), Intercomparison methods for satellite measurements of atmospheric composition: application to tropospheric ozone from TES and OMI, Atmos. Chem. Phys., 10, 4725-4739, doi:10.5194/acp-10-4725-2010.
Zhang, Y., C. Li, N.A. Krotkov, J. Joiner, V.E. Fioletov, and C.A. McLinden (2017), Continuation of long-term global SO2 pollution monitoring from OMI to OMPS, Atmos. Meas. Tech., 10, 1495-1509, doi:10.5194/amt-10-1495-2017.
Zhao, F., C. Liu, Z. Cai, X. Liu, J. Bak, J. Kim, Q. Hu, C. Xia, C. Zhang, Y. Sun, W. Wang, and J. Liu (2021), Ozone profile retrievals from TROPOMI: Implication for the variation of tropospheric ozone during the outbreak of COVID-19 in China, Science of the Total Environment, 764, 142886, doi:10.1016/j.scitotenv.2020.142886.
Zhu, Q., J. Bi, X. Liu, S. Li, W. Wang, Y. Zhao, and Y. Liu (2022), Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005–2019, Research A Section 508-conformant HTML version of this article, doi:10.1289/EHP9406.
Ziemke, J.R., J. Joiner, S. Chandra, P. Bhartia, A.P. Vasilkov, D. Haffner, K. Yang, M.R. Schoeberl, L. Froidevaux, and P.F. Levelt (2009), Ozone mixing ratios inside tropical deep convective clouds from OMI satellite measurements, Atmos. Chem. Phys., 9, 573-583, doi:10.5194/acp-9-573-2009.
Ziemke, J.R., M. Olsen, J. Witte, A. Douglass, S. Strahan, K. Wargan, X. Liu, M.R. Schoeberl, K. Yang, T.B. Kaplan, S. Pawson, B.N. Duncan, P.A. Newman, P. Bhartia, and M.K. Heney (2014), Assessment and applications of NASA ozone data products derived from Aura OMI/MLS satellite measurements in context of the GMI chemical transport model, J. Geophys. Res., 119, 5671-5699, doi:10.1002/2013JD020914.