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SMCD shieldXiwu 'Jerry' Zhan

Satellite Meteorology and Climatology Division

Environmental Monitoring Branch
Research Scientist

Publications and Research Identifiers

To view Dr. Zhan's complete list of publications, visit the research identifier accounts listed below:


photo of Xiwu 'Jerry' ZhanXiwu 'Jerry' Zhan received his B.S. and M.S. degrees from Nanjing Institute of Meteorology in China. After teaching and doing research at the Institute, he started his advanced study in Atmospheric Sciences at Cornell University in 1990. With a Ph.D. degree, he continued his land surface modeling study at USDA Hydrology Lab from 1994. He joined the research faculty of the Department of Geography at University of Maryland College Park to lead the MODIS research team for creating global land cover and land cover change products in 1996. He worked on NPOESS VIIRS land remote sensing EDR algorithms at Raytheon Company for half year of 2001 and moved to NASA Goddard Space Flight Center as a UMBC - GEST contractor to validate AMSR-E land surface remote sensing data products and assimilate them into land surface models to improve land-atmosphere interaction simulations in 2002. He moved back to USDA Hydrology and Remote Sensing Lab to continue his land surface modeling, remote sensing and data assimilation research as a civil servant in 2005 and joined NOAA - NESDIS - STAR in 2006.

Dr. Zhan's research interests include developing land remote sensing data products and applying them in numerical weather prediction and other related models to advance atmospheric sciences and meet societal needs. His current research projects are:

  • Development of microwave soil moisture retrieval algorithms;
  • Merging different satellite observations (e.g. AMSR-E, WindSat, ASCAT and MODIS) for high resolution high accuracy soil moisture data products;
  • Assimilate satellite land observations into NOAA's Global Forecast System (GFS) to demonstrate land impact on weather forecasts;
  • Integrate soil moisture satellite observations and model simulations for USDA Foreign Agricultural Service’s crop forecasting decision support system (DSS).


Data, algorithms, and images presented on STAR websites are intended for experimental use only and are not supported on an operational basis.  More information

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