Daniel Tong
Associate Professor, George Mason University
qtong@gmu.edu
Dr. Tong has over 20 years of experience in air quality and societal impacts. When working at NOAA Air Resources Laboratory, he led the NOAA effort to develop a comprehensive emission modeling system to incorporate thousands of anthropogenic and natural sources to support the Nation’s air quality forecasting operation. Dr. Tong is the lead developer of the dust module FENGSHA, which is being used by the National Weather Service to predict dust storms over North America and around the world. His current research focuses on quantifying emissions of aerosols and traces gases from both anthropogenic and natural sources, in particular dust and wildfires, and their subsequent effects on air quality and human health. Dr. Tong is a member of several satellite science teams, including NASA Health and Air Quality Applied Science Team and NOAA Joint Polar-orbiting Satellite System. He serves as the Chair of the Global Steering Committee of World Meteorological Organization (WMO) Sand and Dust Storm Warning Advisory and Assessment System (SDS WAS) through which he collaborates and coordinate the global efforts to improve dust early warning to mitigate societal damages in WMO member countries.