An official website of the United States government. Here's how you know. ⇵

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Hongli Wang

Hongli Wang

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

Publications

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. 

Our Mission

Lead research and directed development through the transition of environmental data, models, products, tools, and services to support commerce, protect life and property, and promote a scientifically literate public.

Research Areas

Organizational Excellence, Earth System Prediction, Advanced Technologies, and Decision Support are the foundation to achieving the GSL Grand Challenge: Deliver actionable global storm-scale prediction and environmental information through advanced technologies to serve society.

Global Systems Laboratory