Yan Luo     Yan Luo
   Postdoc Researcher Center for Research on Environment and Water
   4041 Powder Mill Road, Suite 302
   Calverton, MD 20705-3106 USA
    240/247-1443 Phone
    301/595-9790 Fax
    Email: Yan Luo
Biography:  Yan Luo received her Ph.D. from University of Maryland, College Park in 2006. Yan's main research at the University of Maryland focused on land-atmosphere interactions and studied the role of land surface conditions on the variability and predictability of the regional hydrologic cycle. She also evaluated the land-surface water and energy budgets from model products and observations. After completing her doctorate, Yan conducts her research at CREW, in Calverton, MD, where she is working on land surface data assimilation to investigate Ensemble Kalman Filter approaches for the assimilation of various satellite land data products into land surface models, as well as the benefit of assimilation for forecasting applications.

Research Interests: 

Land Data Assimilation System; land-atmosphere interactions; water and energy budgets; satellite application.

Education: 

Ph.D.  Department of Atmospheric and Oceanic Science, University of Maryland, May 2006

M.S.   Chinese Academy of Meteorological Sciences, P.R. China, June 1992

B.S.   Department of Meteorology, Nanjing Institute of Meteorology, P.R. China, June 1989

Professional Membership: 

Experience: 

2006-present: Postdoctoral research scientist, Center for Research on Environment and Water, Calverton, Maryland

2000-2006: Graduate Research Assistant, Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland

1992-2000: Meteorologist, Division of Climate Prediction, National Climate Center, Beijing, P.R. China

1989-1992: Graduate Research Assistant, Chinese Academy of Meteorological Sciences, Beijing, P.R. China

Current Research: 

Publications: 

Some related programs: 

Presentation: 

26 April 2006 "Regional Aspects of the N. American Land Surface-Atmosphere Interactions & Their Contributions to the Variability & Prediction of the Regional Hydrologic Cycle"

15 January 2007 AMS meeting: "Application and evaluation of the Kalman Filter data assimilation approaches in the Noah land surface model"

Last Updated: 26 March 2007