The focus of Fu’s research work includes climate change impacts on energy infrastructure, air pollution, water availability, negative carbon sequestration, extreme events like heatwaves, floods, drought, and human health. Additional focus is to utilize artificial intelligence and machine learning (AI/ML) techniques on climate change, human health, and mapping global total atmospheric deposition. Currently, my research team is utilizing a petascale supercomputer to simulate future climate, air pollution, atmospheric deposition, Arctic ice melting and improve the model on coupling chemistry and climate modules in a global (1 degree) scale and downscaling to a regional scale (1 km) for human exposure due to air pollution and extreme weather change, and participates in developing the new chemistry solver for the US DOE’s Energy Exascale Earth System Model (E3SM).

Fu has served as vice-chair of the Measurement-Model Fusion for the Global Total Atmospheric Deposition (MMF-GTAD) of the new initiative in the World Meteorological Organization (WMO), contributed as a co-author of the Final Report of the Hemispheric Transport of Air Pollution for the United Nations Economic Commission for Europe (UN Task Force Hemispheric Transport of Air Pollution) and reviewing committee member for air quality status in East Asia for the EANET, a governmental consortium in East Asia and located in Japan. He also was a co-author of the Technical Report, Climate Change, and Infrastructure, Urban System, and Vulnerability, to the Department of Energy in support of the National Climate Assessment in 2012. He served as an international adviser/expert, a modeling lead of the Model Intercomparison Study (MICS-Asia), and a modeling member for HTAP on air quality and climate change. He contributed climate modeling results for IPCC AR5 based on RCP 4.5 and 8.5 scenarios.