Peer-Reviewed Journal Articles

    2018

  1. Xu X., J. Wang, Y. Wang, J. Zeng, O. Torres, J. S. Reid, S. D. Miller, J. V. Martins, and L. A. Remer (2018), Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: Hourly results from EPIC/DSCOVR satellite in deep space, Atmos. Meas. Tech. Discuss., doi:10.5194/amt-2018-414, In Review.

  2. Xu X., J. Wang, J. Zeng, W. Hou, K. G Meyer, S. E. Platnick, and E. Wilcox (2018), A pilot study of shortwave spectral fingerprints of smoke aerosols above liquid clouds, Journal of Quantitative Spectroscopy and Radiative Transfer, 221, 38-51, doi:10.1016/j.jqsrt.2018.09.024.

  3. Chen S., N. Jiang, J. Huang, X. Xu, H. Zhang, Z. Zang, K. Huang, X.-C. Xu, Y. Wei, X. Guan, X. Zhang, Y. Luo, Z. Hu, T. Feng (2018), Quantifying contributions of natural and an- thropogenic dust emission from different climatic regions, Atmospheric Environment, 1191, 94-104, doi:10.1016/j.atmosenv.2018.07.043.

  4. Hou, W., Z. Li, J. Wang, X. Xu, P. Goloub, and L. Qie (2018), Improving remote sensing of aerosol microphysical properties by near-infrared polarimetric measurements over vegetated land: Information content analysis , J. Geophys. Res. Atmos., 123, 2215-2243, doi:10.1002/2017JD027388.

    5. 2017

  5. Tao M., L. Chen, Z. Wang, J. Wang, H. Che, W. Wang, J. Tao, X. Xu, H. Zhu, and C. Hou (2017), Evaluation of MODIS Deep Blue aerosol algorithm in desert region of East Asia: ground validation and inter-comparison, J. Geophys. Res. Atmos., 122, 10357-10368, doi:10.1002/2017jd026976.

  6. Xu X.., J. Wang, Y. Wang, J. Zeng, O. Torres, Y. Yang, A. Marshak, J. Reid, and S. Miller (2017), Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange-1 point, Geophys. Res. Lett., 44, 7544-7554, doi:10.1002/2017GL073939.

  7. Wang, Y., J. Wang, R. C. Levy, X. Xu, and J. S. Reid (2017), MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water, Remote Sensing, 9(6), 595, doi:10.3390/rs9060595.

  8. Zhu J., X. Xia, J. Wang, H. Che, H. Chen, J. Zhang, X. Xu, R. Levy, M. Oo, R. Holz, M. Ayoub (2017), Evaluation of aerosol optical depth and aerosol models from VIIRS retrieval algorithms over North China Plain, Remote Sensing, 2017, 9(5), 432, doi:10.3390/rs9050432.

  9. Xu X., J. Wang, Y. Wang, D. K. Henze, L. Zhang, G. A. Grell, S. McKeen. and B. Wielicki (2017), Sense Size-Dependent Dust Loading and Emission from Space Using Reflected Solar and Infrared Spectral Measurements: An Observation System Simulation Experiment, J. Geophys. Res. Atmos., 122, 8233-8254, doi: 10.1002/2017JD026677.

  10. Tao, M., Z. Wang, J. Tao, L. Chen, J. Wang, C. Hou, L. Wang, X. Xu, and H. Zhu (2017), How do aerosol properties affect the temporal variation of MODIS AOD bias in eastern China?, Remote Sensing, 9(8), 800, doi:10.3390/rs9080800.

  11. Qu Z., D. K. Henze, S. L. Capps, Y. Wang, X. Xu, J. Wang, and M. Keller, Monthly top-down NOx emissions for China (2005-2012): a hybrid inversion method and trend analysis, J. Geophys. Res. Atmos., 122, 4600-4625, doi:10.1002/2016JD025852.

  12. Chen X., J. Wang, Y. Liu, X. Xu, Z. Cai, D. Yang, C. Yan, and L. Feng (2017), Angular dependence of aerosol information content in CAPI/TanSat observation over land: effect of polarization and synergy with A-train satellites, Remote Sensing of Environment, 96, 163-177, doi: https://doi.org/10.1016/j.rse.2017.05.007.

  13. Hou W., J. Wang, X. Xu, and J. Reid (2016), An algorithm for hyperspectral remote sensing of aerosols: 2. Information content analysis for aerosol parameters and principal components of surface spectra, Journal of Quantitative Spectroscopy and Radiative Transfer, 192, 14-29, doi: http://dx.doi.org/10.1016/j.jqsrt.2017.01.041.

    14. 2016

  14. Wang Y., J. Wang, X. Xu, D. K. Henze, Y. Wang, and Z. Qu (2016), A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: implications for air quality forecasts, Geophys. Res. Lett., 43, 9931-9938, doi:10.1002/2016GL070204.

  15. Wang J., C. Aegerter, X. Xu, and J. Szykman (2016), Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM2.5 air quality from space, Atmospheric Environment, 124, 55-63, doi: https://doi.org/10.1016/j.atmosenv.2015.11.013.

  16. Hou W., J. Wang, X. Xu, and J. Reid (2016), An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework, Journal of Quantitative Spectroscopy and Radiative Transfer, 178, 400-415, doi: https://doi.org/10.1016/j.jqsrt.2016.01.019.

  17. Ding S., J. Wang, and X. Xu (2016), Polarimetric remote sensing in O2 A and B bands: Sensitivity study and information content analysis for vertical profile of aerosols, Atmos. Meas. Tech., 9, 2077-2092, doi: 10.5194/amt-9-2077-2016.

    18. 2015

  18. Xu X., J. Wang, J. Zeng, R. Spurr, X. Liu, O. Dubovik, L. Li, Z. Li, M. I. Mishchenko, A. Siniuk, and B. N. Holben (2015), Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 2. A new research algorithm and case demonstration, J. Geophys. Res., 120, 7079-7098, doi: 10.1002/2015JD023113.

  19. Xu X. and J. Wang (2015), Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 1. Information content analysis, J. Geophys. Res. Atmos., 120, 7059-7078, doi: 10.1002/2015JD023108.

    20. 2014

  20. Wang J., X. Xu, S. Ding, J. Zeng, R. Spurr, X. Liu, K. Chance, and M. Mishchenko (2014), A numerical testbed for remote sensing of aerosols, and its demonstration for evaluating retrieval synergy from geostationary satellite constellation, Journal of Quantitative Spectroscopy & Radiative Transfer, 146(0), 510-528, doi: 10.1016/j.jqsrt.2014.03.020

    21. 2013

  21. Meland B. S., X. Xu, D. Henze, and J. Wang (2013), Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model, Atmos. Meas. Tech., 6, 3441-3457. online

  22. Xu X., J. Wang, D. K. Henze, W. Qu, and M. Kopacz (2013), Constraints on aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation with multi-sensor (OMI, MISR) data, J. Geophys. Res., 118, 6396-6413. online

  23. Wang C., J. Li, and X. Xu (2013), Wavelet analysis of quasi-3-year temperature oscillations in China in last 50 years, and predicted changes in the next 20 years, Sciences in Cold and Arid Regions, 5(6), 0755-0766.

    24. 2012

  24. Wang, J., X. Xu, D. K. Henze, J. Zeng, Q. Ji, S.-C. Tsay, and J. Huang (2012), Top-down estimate of dust emissions through integration of MODIS and MISR aerosol retrievals with the GEOS-Chem adjoint model, Geophys. Res. Lett., 39(8), L08802. online

  25. Wang, C., J. Li, X. Li, and X. Xu (2012), Analysis on Quasi-periodic Characteristics of Precipitation in Recent 50 Years and Trend in Next 20 Years in China. Arid Zone Research, 1, 002.

  26. Wang, C., J. Li, and X. Xu (2012), Universality of Quasi-3-year Period of Temperature in Last 50 Years and Change in Next 20 Years in China, Plateau Meteorology, 31(1), 126-136.

    27. 2009 - 2010

  27. Wang, J., X. Xu, R. Spurr, Y. Wang, and E. Drury (2010), Improved algorithm for MODIS satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications for air quality monitoring in China, Remote Sensing of Environment, 114(11), 2575-2583. online

  28. Xu X., W. Li, H. Ren, and P. Zhang (2009), Distribution of prediction capacity of T63L16 model for medium-range forecast at different spatial scales, Acta Meteorologica Sinica, 67(6), 992-1001.