Tao Zheng
Department of Geography & Environmental Studies
Institute for Great Lakes Research

Atmospheric Modeling, Data Assimilation, Remote Sensing
Dow Science Complex 281

Dr. Zheng is a Professor of Geography at Central Michigan University.


  • Ph.D., University of Maryland, 2007
  • M.A., East Carolina University, 2003
  • B.S., Dalian University of Technology, 1996

Teaching Areas

  • Introduction to Cartography
  • Remote Sensing of the Environment
  • Digital Remote Sensing

Research Fields

  • Atmospheric Modeling
  • Data Assimilation
  • Remote Sensing


  • Zheng, T., Nassar, R., Baxter, M. A. (2019). Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations. Environmental Research Letters, 14. https://iopscience.iop.org/article/10.1088/1748-9326/ab25ae
  • Zheng, T., French, N. H. F., and Baxter, M. (2018) Development of the WRF-CO2 4D-Var assimilation system v1.0, Geoscientific Model Devevelopment., 11, 1725-1752, https://doi.org/10.5194/gmd-11-1725-2018
  • Zhu, W.N., Q. Yu, Y.Q. Tian, B.L. Becker, T. Zheng, and H.J.Carrick, (2014), An assessment of remote sensing algorithms for colored dissolved organic matter in complex freshwater environments, Remote Sensing of Environment, 140, 766-778. 
  • Zheng, T. and Liang, S. (2011), Bayesian approach to integrate satellite-estimated instantaneous photosynthetically active radiation product for daily value calculation, Journal of Geophysical Research-Atmospheres, 116, https://doi.org/10.1029/2010JD014642
  • Zheng, T., and Liang, S., 2007, Estimation of incident Photosynthetically Active Radiation from GOES visible imagery. Journal of Applied Meteorology and Climatology
  • Liang, S. L., Zheng, T., Liu, R. G., Fang, H. L., Tsay, S. C., and Running, S., 2006, Estimation of incident photosynthetically active radiation from Moderate Resolution Imaging Spectrometer data. Journal of Geophysical Research, 111, D15208, doi:10.1029/2005JD006730.
  • Wang, Y., and Zheng, T., 2005, Comparison of light detection and ranging and national dataset digital elevation model on floodplains of North Carolina. Natural Hazard Review, 6, pp. 34-40.
  • Zheng, T., and Wang, Y., 2003, An adaptive filter to reduce SAR speckles: a case study of mapping an inundation extent on the North Carolina coastal floodplain using the JERS-1 SAR data. The North Carolina Geographer, 11, pp. 33-44.