Xiaoguang Xu
Organization:
University of Maryland, Baltimore County
Email:
Business Phone:
Mobile:
(402) 805-7712
Business Address:
University of Maryland Baltimore County
JCET
Baltimore, MD 21228
United StatesFirst Author Publications:
- Xu, X., et al. (2018), A pilot study of shortwave spectral fingerprints of smoke aerosols above liquid clouds, J. Quant. Spectrosc. Radiat. Transfer, 221, 38-50, doi:10.1016/j.jqsrt.2018.09.024.
- Xu, X., and J. Wang (2015), Retrieval of aerosol microphysical properties from AERONET photopolarimetric measurements: 1. Information content analysis, J. Geophys. Res., 120, 7059-7078, doi:10.1002/2015JD023108.
- Xu, X., et al. (2013), Constraints on aerosol sources using GEOS-Chem adjoint and MODIS radiances, and evaluation with multisensor (OMI, MISR) data, J. Geophys. Res., 118, 6396-6413, doi:10.1002/jgrd.50515.
Co-Authored Publications:
- Wang, J., et al. (2017), Article MODIS Retrieval of Aerosol Optical Depth over Turbid Coastal Water, www.mdpi.com/journal/remotesensing, 9, 595, doi:10.3390/rs9060595.
- Ding, S., J. Wang, and X. Xu (2016), Polarimetric remote sensing in oxygen 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.
- Hou, W., et al. (2016), An algorithm for hyperspectral remote sensing of aerosols: 1. Development of theoretical framework, J. Quant. Spectrosc. Radiat. Transfer, 178, 400-415, doi:10.1016/j.jqsrt.2016.01.019.
- Wang, J., et al. (2016), Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM2.5 air quality from space, Atmos. Environ., 124, 55-63, doi:10.1016/j.atmosenv.2015.11.013.
- Wang, J., et al. (2016), A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: Application to China and implications for air quality forecasts, Geophys. Res. Lett., 43, 9931-9938, doi:10.1002/2016GL070204.
- Wang, J., et al. (2014), A numerical testbed for remote sensing of aerosols, and its demonstration for evaluating retrieval synergy from a geostationary satellite constellation of GEO-CAPE and GOES-R, J. Quant. Spectrosc. Radiat. Transfer, 146, 510-528, doi:10.1016/j.jqsrt.2014.03.020.
- Meland, B. S., et al. (2013), Assessing remote polarimetric measurement sensitivities to aerosol emissions using the geos-chem adjoint model, Atmos. Meas. Tech., 6, 3441-3457, doi:10.5194/amt-6-3441-2013.
- Wang, J., et al. (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, L08802, doi:10.1029/2012GL051136.
- Wang, J., et al. (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, 2575-2583, doi:10.1016/j.rse.2010.05.034.