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SMCD shieldXiwu 'Jerry' Zhan

Satellite Meteorology and Climatology Division

Environmental Monitoring Branch
Research Scientist

Recent Publications

To see Dr. Zhan's complete list of publications, abstracts, and citation metrics, visit his ResearcherID page.

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).

Most Recent Publications

Bolten, J., W.T. Crow, X. Zhan, C. Reynolds, and T.J. Jackson, 2008. "Assimilation of a satellite-based soil moisture product in a two-layer water balance model for a global crop production decision support system," accepted, in Data Assimilation for Atmospheric, Oceanic, and Hydrologic Applications, S.K. Park (Ed.), Springer-Verlag.

Kumar, S.V., R. H. Reichle, C. D. Peters-Lidard, R.D. Koster, X. Zhan, W.T. Crow, J.B. Eylander, and P.R. Houser. 2008. "A Land Surface Data Assimilation Framework using the Land Information System: Description and Applications". Advances in Water Resources, In print.

Zhan, X., W. T. Crow, T. J. Jackson, and P.E. O'Neill. 2008. Improving Space-borne Radiometer Soil Moisture Retrievals with Alternative Aggregation Rules for Ancillary Parameters. IEEE Geoscience and Remote Sensing Letters. Vol. 5, No. 2, pp. 261-265, April 2008.

Crow, W and X. Zhan. 2007. Continental-scale evaluation of remotely sensed soil moisture products. Geoscience and Remote Sensing Letters. Vol. 4, No. 3, pp. 451-455, July 2007.

Zhan, X., P. R. Houser, J.P. Walker, W. Crow. 2006. A method for retrieving high resolution soil moisture from Hydros L-Band radiometer and radar observations. IEEE Transactions on Geoscience and Remote Sensing. Vol. 44. No. 6: 1534-1544. June, 2006.

Crow, W.T., T. Chan, D. Entekhabi, P.R. Houser, A. Hsu, T.J. Jackson, E. Njoku, P.E. O'Neill, J.C. Shi, X. Zhan. 2005. An Observing System Simulation Experiment for Hydros Radiometer-Only Soil Moisture Products. IEEE Transactions on Geoscience and Remote Sensing. 43(6):1289-1303.


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