Professor Dong Jianzhi graduated from Delft University of Technology in the Netherlands. He has conducted extensive research on the remote sensing observation, simulation, and assimilation of large-scale terrestrial hydrological processes at the USDA-ARS Hydrology and Remote Sensing Laboratory (HRSL) in the United States and at the Massachusetts Institute of Technology (MIT). Prof. Dong is an associate editor for the leading hydrology journal Water Resources Research. He has published over 20 articles in top-tier journals including Nature Communications, Geophysical Research Letters, Remote Sensing of Environment, and Water Resources Research. His work has been featured in a special report by NASA.

  The research group led by Professor Dong focuses on the hydrological responses and feedback processes under global change. Their research directions include:

  1. Acquisition, uncertainty analysis, and optimal integration of large-scale (watershed, national, and global) hydrological information;

  2. Simulation and assimilation of large-scale terrestrial hydrological processes;

  3. Hydrological responses and land-atmosphere coupling processes under global change.

  Professor Dong has developed a new generation precipitation data optimization and merging framework, the Statistical Uncertainty analysis-based Precipitation mERging framework (SUPER), published in Remote Sensing of Environment. 

  The paper can be accessed at: Remote Sensing of Environment.

  Data can be downloaded from: www.ctrehr.com