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Xiaoguang Xu

Asst Res Sci

Joint Center for Earth Systems Technology
Physics, Room 328
xxu@umbc.edu
Education
Ph D, University of Nebraska-Lincoln (2015)
MS, Lanzhou University (2008)
BS, Lanzhou University (2005)
Website
About

Xiaoguang Xu’s research area has focused on development of retrieval algorithms, data assimilation, and OSSEs for aerosol remote sensing data, with emphasis on the integration of satellite remote sensing and global models to characterize aerosol emitting sources, distributions, as well as their climate & environmental impacts. He has developed aerosol retrieval algorithms for both satellite and ground-based remote sensing platforms. He implemented the capability to use GEOS-Chem adjoint for inverse modeling of dust emissions from satellite radiances. Xu is the primary developer of a numerical testbed for remote sensing of aerosol known as UNL-VRTM (https://unl-vrtm.org). He currently leads the development of HARP2 level 1 data processing algorithm for NASA PACE satellite at UMBC.

Research Interests

Chemistry transport modeling; radiative transfer; satellite remote sensing of aerosols

Teaching Interests

Climate modeling; Physical meteorology; atmospheric physics and chemistry; Remote Sensing

Contracts, Fellowships, Grants, and Sponsored Research

Xu, Xiaoguang (Principal) Retrieval of Aerosol Vertical Distributions with Measurements from O2 A/B Bands and Polarimetric Data from Blue Bands: Algorithm Development and Synergistic Analysis Grant (Funded) Sponsored by NASA: Remote Sensing Theory for Earth Science (Oct 15, 2020 – Oct 14, 2023)

Xu, Xiaoguang (Co-Principal) Multi-phase inversion of aerosol sources using MODIS, MISR, OMI, and AERONET data and the GEOS-Chem adjoint SubContract (Funded) Sponsored by NASA: ACMAP, PI: Dr. Daven Henze (Feb 17, 2017 – Feb 16, 2020)

Xu, Xiaoguang (Co-Principal) Sensitivity analysis and recovery of dust emissions from spectral climate signals Grant (Funded) Sponsored by NASA: ACSCS, PI: Dr. Jun Wang (Nov 1, 2014 – Oct 31, 2017)

Xu, Xiaoguang (Principal) Constraining Dust Refractive Index and Direct Radiative Effect in Long Wave Using Paired Sounder-Imager Sensors Grant (Currently Under Review) Sponsored by NASA: TASNPP

Xu, Xiaoguang (Principal) Snapshot spectral imaging CubeSat for dense multi-angle measurements SubContract (Currently Under Review) Sponsored by NASA: INVEST