Ming is a Research Physical Scientist who played a key role in development and implementation of the NOAA operational Rapid Refresh (RAP) and High Resolution Rapid Refresh (HRRR) prediction systems. Ming also led the efforts to facilitate community support  to GSI and ensemble Kalman filter (EnKF) analysis system. Ming is current focusing on the development and implementation of the next generation of the US mesoscale operation system: Rapid Refresh Forecast System (RRFS) and its data assimilation system: the Joint Effort for Data assimilation Integration (JEDI)

Education

• Ph.D., School of Meteorology, University of Oklahoma 2005
• M.S., Department of Meteorology, Nanjing Institute of Meteorology* 1996
• B.S., Department of Meteorology, Nanjing Institute of Meteorology 1993
  
  

Experience

• Research Physical Scientist 08/31/2020-present - NOAA Global System Laboratory, Boulder, CO
• Research Scientist III 10/01/2017-08/30/2020
• Research Scientist II 10/01/2011-09/31/2017
• Research Scientist I 09/01/2007-09/31/2011 - Global System Division, NOAA Earth System Research Laboratory, Boulder -- Cooperative Institute for Research in Environmental Sciences, University of Colorado

Honors and Awards

• 2016 CIRES Gold Medal for the success of High-Resolution Rapid Refresh, the first storm-scale model to give forecasters and decision-makers fast, local weather guidance.
• 2015 Colorado Governor's Award for High Impact Research as a team member