Xiaoguang (Richard) Xu
Research Associate Professor
University of Maryland, Baltimore County (UMBC)
Earth and Space Institute (ESI) / GESTAR II
Research Associate Professor
University of Maryland, Baltimore County (UMBC)
Earth and Space Institute (ESI) / GESTAR II
My research integrates advanced satellite remote sensing, Earth system modeling, and machine learning, with a focus on atmospheric aerosols and clouds, to address challenges in climate change, air quality, and environmental health. I specialize in the fusion of hyperspectral and polarimetric observations (e.g., from NASA PACE and TEMPO) to characterize atmospheric aerosols and their impacts on urban and coastal environments.
I am the primary developer of UNL-VRTM, an open-source linearized vector radiative transfer model widely used as a numerical testbed for remote sensing of aerosols, gases, clouds, and surfaces. I also lead efforts related to HARP2 Level 1 data processing for NASA’s PACE mission.
Climate modeling; physical meteorology; atmospheric physics and chemistry; remote sensing.
A fuller list of UNL-VRTM-related papers is on the Documents page.
Xu X. and J. Wang (2019), UNL-VRTM, a testbed for aerosol remote sensing: Model developments and applications, in Springer Series in Light Scattering, Vol 4, edited by A. Kokhanovsky, pp. 1–69, Springer, Cham.
Xu X., J. Wang, Y. Wang, J. Zeng, O. Torres, J. S. Reid, S. D. Miller, J. V. Martins, and L. A. Remer (2019), 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., 12, 3269–3288.
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.
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.
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, J. Quant. Spectrosc. Radiat. Transfer, 146, 510–528.
Department of Physics / Earth and Space Institute
University of Maryland, Baltimore County
1000 Hilltop Circle, Baltimore, MD 21250
Email:
For UNL-VRTM support, please use
unl-vrtm.org/contact.