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Mingjie  Shi's Picture
Jet Propulsion Laboratory
M/S 233-200
4800 Oak Grove Drive
Pasadena, CA 91109
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Curriculum Vitae:

Mingjie Shi

  • Ph.D., Geological Sciences, Jackson School of Geosciences, The University of Texas at Austin, TX (2013)
  • Masterof Science, Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China (2008)
  • Bachelor of Science, Applied Meteorology, Department of Applied Meteorology, College of Resources & Environmental Sciences, China Agricultural University, Beijing, China (2005)

Research Interests
  • Climate Modeling, Land-Surface Modeling,
  • Land Surface-Atmosphere Interactions,
  • Carbon Cycle, Nitrogen Cycle, Vegetation Dynamics, Terrestrial Hydrology, Remote Sensing

Professional Experience
  • Postdoctoral Scholar, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA (2015–present)
  • Postdoctoral Scholar, JIFRESSE, UCLA, Los Angeles/Jet Propulsion Laboratory, Pasadena, CA (2014–2015)
  • Graduate Research Assistant, Department of Geological Sciences, The University of Texas at Austin, Austin, TX (2008­–2013)
  • Graduate Research Assistant, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China (2005–2008)

Selected Awards
  • Brundrett Endowed Presidential Scholarship (2010–2011)
  • DeFord Field Scholarship (2010)
  • China Agricultural University Excellent Student Second Prize Scholarship (2002–2004)
  • Sinochem First Class Scholarship of Excellence (2003)
  • China Agricultural University Outstanding Student (2003)

Selected Publications
  1. Tao, W., Stenchikov, G. L., Kalenderski, S., Prakash, J., Bangalath, H., Yang, Z.-L., Shi, M., Quantifying contributions of local scale dust emission from the Arabian Red Sea Coastal Plain to the Red Sea nutrient balance (submitted to Aeolian Research).
  2. Shi, M., Yang, Z.-L., Stenchikov, G. L., Parajuli, S. P., Tao, W., Kalenderski, S., 2016, Quantifying the impacts of landscape heterogeneity and model resolution on dust emissions in the Arabian Peninsula, Environmental Modeling and Software,78, 106–119, doi: 10.1016/j.envsoft.2015.12.021.  
  3. Shi, M., Fisher. J. B., Brzostek, E. R., and Phillips R. P., 2016, Carbon cost of plant nitrogen acquisition: global carbon cycle impact from an improved plant nitrogen cycle in the Community Land Model, Global Change Biology, 22, 1299–1314, doi: 10.1111/gcb.13131.
  4. Christoffersen, B. O. and Coauthors, 2014, Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and cerrado. Agricultural and Forest Meteorology, 191, 33–50, doi: 10.1016/j.agrformet. 2014.02.008.
  5. Shi, M., Yang, Z.-L., Lawrence, D. M., Dickinson, R. E., Subin, Z. M., 2013, Spin-up processes in the Community Land Model version 4 with explicit carbon and nitrogen components. Ecological Modelling, 263, 308–325, doi:10.1016/j.ecolmodel.2013.04.008.
  6. Shi, M., Yang, Z.-L., Landerer, F. W., 2013, Representing and evaluating the landscape freeze/thaw properties and their impacts on soil impermeability–hydrological processes in the community land model version 4. J. Geophys. Res. Atmos.,118, 75427557, doi:10.1002/jgrd.50576.
  7. de Goncalves, L. G. G. and Coauthors, 2013, Overview of the Large-Scale Biosphere-Atmosphere Experiment in Amazônia Data Model Intercomparison Project (LBA-DMIP). Agricultural and Forest Meteorology, 182–183, 111–127.
  8. von Randow, C. and Coauthors, 2013, Inter-annual variability of carbon and water fluxes in Amazonian forest Cerrado and pasture sites, as simulated by terrestrial biosphere models. Agricultural and Forest Meteorology, 182–183, 145–155.
  9. Shi, M., Yan, X., Jia, G., 2008, Advances in Researching Biogenic Volatile Organic Compounds Emissions. Advances in Earth Science, 23(8), 866–873 (in Chinese with English abstract).

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