Professor Fung’s work emphasizes tackling climate and environmental challenges in Hong Kong and the Pearl River Delta Region, with a focus on urban and coastal meteorological phenomena. He has developed and applied cutting-edge mesoscale modeling systems (WRF, CALMET, CMAQ, and ADMS) to study critical issues such as severe rainstorms, typhoons, monsoon circulations, and thermally induced land-sea breeze dynamics. His research also addresses the increasing risks of extreme heat events, analyzing their drivers, impacts, and implications for urban sustainability and resilience in the context of global climate change.

Through regional climate modeling, Professor Fung investigates the interactions between climate change, urbanization, and weather extremes, providing valuable insights for developing strategies to mitigate these challenges. His work not only advances scientific understanding but also supports sustainable solutions to the pressing environmental issues faced by urbanized regions.

Research Themes under ENVR

• Air and Health
• Climate Adaptation and Resilience (CARE)

Research Areas and Interests

• Atmospheric science and weather prediction
• Regional climate change and variability
• Multi-scale air quality modeling
• Computational fluid dynamics
• Environmental sustainability

Research Projects

• AoE: Centre for Slope Safety under a Changing Climate
• Themebased: Developing Hong Kong as a Global Green Finance Centre
• CRF: Turning 2060 Carbon Neutrality into Reality: a Cross-disciplinary Study of Air Pollution and Health Co-benefits of Climate Change Mitigation of the Guangdong-Hong Kong-Macau Greater Bay Area (GBA)
• CRF: Increasing the resilience to the health impacts of extreme cold weather on the older population under future climate change
• CRF: Improvement of the Understanding of the 3-Dimensional Wind Behaviors in Urban Areas of Hong Kong using Doppler LiDAR System
• ECF:  Environment and Conservation Fund – Prepare for more severe storm surges and waves fueled amid climate change - Foresight from a novel coupled modeling system over the Greater Bay Area
• NSFC-RGC: A Model-based Study on Atmosphere–Wave–Ocean Coupling and its Modulation in Extreme Rainfall Events over the Guangdong–Hong Kong–Macau Greater Bay Area under Climate Change

Publications

Representative Publications

•  Liu, H., J.C.H. Fung, A.K.H. Lau, and Z. Li (2025) Precipitation estimation with NWP model and generative diffusion model. Geophysical Research Letters, 52, e2024GL110625, doi.org/10.1029/2024GL110625.
•  Wang, R., J.C.H. Fung, L. Su, and A.K.H. Lau (2025) Ensemble meritocracy on  Madden-Julian oscillation predictions: Elites chosen by AI beat the mean. Artificial Intelligence for the Earth System, 4, doi.org/10.1175/AIES-D-23-0109.1.
• Wang, Q., Y. Chen, X. Lu, G. Chen, Z. Li, M. Cai, C. Ren, and J.C.H. Fung (2024) Urbanization impact on meteorological condition and O3 concentration under past and future climates scenarios over the Greater Bay Area in Southern China. Atmospheric Environment, doi.org/10.1016/j.atmosenv.2024.120585.
• Xu, P., G. Li, Y. Zheng, J.C.H. Fung, A. Chen, Z. Zeng, H. Shen, M. Hu, J. Mao, Y. Zheng, X.  Cui, Z. Guo, Y. Chen, L. Feng, S. He, X. Zhang, A.K.H. Lau, S. Tao and B.Z. Houlton (2024) Fertilizer management for global ammonia emission reduction. Nature, doi.org/10.1038/s41586-024-07020-z.
• Wang, R., J.C.H. Fung and A.K.H. Lau (2023) Physical-dynamic-driven AI-synthetic precipitation nowcasting using task-segmented generative model. Geophysical Research Letters, doi.org/10.1029/2023GL106084.
• Zuo, Z.P., J.C.H. Fung, Z. Li, Y. Huang, M.F. Wong, A.K.H. Lau and X. Lu (2023) Projection of future heatwaves in the Pearl River Delta through CMIP6-WRF dynamical downscaling. Journal of Applied Meteorology and Climatology. doi.org/10.1175/JAMC-D-22-0201.1.
• Chen, W.Y., X. Lu, D. Yuan, Y. Chen, Z. Li, Y. Huang, T. Fung, H. Sun and J.C.H. Fung (2023) Global PM2.5 Prediction and Associated Mortality to 2100 under Different Climate Change Scenarios.  Environmental Science & Technology, doi.org/10.1021/acs.est.3c03804.
• Chen, Y,  J.C.H. Fung, D. Yuan, W. Chen, T. Fung and X. Lu (2023) Development of an integrated machine-learning and data assimilation framework for NOx emission inversion,  Science of The Total Environment, 871, doi.org/10.1016/j.scitotenv.2023.161951.

Full Publication List