My current work focuses on improving skills of weather and air quality prediction through data assimilation and information blending for FV3 and Community Multi-scale Air Quality Model (CMAQ)  models. 

Research Interests

• 3/4D Variational/Ensemble data assimilation techniques
• Targeted data, radar and satellite observation assimilation
• Adjoint and ensemble-based study for adaptive observations, forecast and observations impact
• Atmospheric predictability study 

Education

• 2010   Ph. D. in Meteorology
  • Institute of Atmospheric Physics, Chinese Academy of Sciences, China
• 2004  M. S. in Meteorology
  • Nanjing Institute of Meteorology, China
• 2001  B. S. in Atmospheric dynamics
  • Nanjing Institute of Meteorology, China

Personal Website

• https://scholar.google.com/citations?user=KP57NF4AAAAJ
• https://www.researchgate.net/profile/Hongli_Wang

Publications

• https://scholar.google.com/citations?user=KP57NF4AAAAJ

Membership and service on professional, technical, or scientific societies and journals

• Editor: Atmospheric and Oceanic Science Letters (10/2015-present)
• Reviewer: 
  • Quarterly Journal of the Royal Meteorological Society
  • Monthly Weather Review
  • Journal of Geophysical Research: Atmospheres
  • Meteorology and Atmospheric Physics
  • Advances in Atmospheric Sciences

Service on NOAA Boards, committees, and projects

• 2020-present: PI: Assimilation of Aerosol Optical Depth (AOD) in the CAM-CMAQ Model. Founding source: NOAA. 
• 2014-2016 Co-PI: "NOAA’s Observing System Experiments and Observing System Simulation Experiments in support of the “Sensing Hazards with Operational Unmanned Technology” (SHOUT) Program - Development and Testing of Sampling Strategies for Unmanned Aerial Systems”. Founding source: NOAA. 
• 2014-2016 Co-PI: "CIRA Participation in the Establishment of a NOAA Laboratory Activity for Observing System Simulation Experiments (OSSEs)”. NOAA.