Dr. Keith Ngan obtained his B.Sc. in Physics and Chemistry from the University of British Columbia and his M.Sc. and Ph.D. in Physics from the University of Toronto. Subsequently he was a postdoctoral fellow at the University of Chicago and a research associate at McGill University. In 2008 he moved to the UK Met Office, where he worked as a senior research scientist in the numerical weather prediction division. In 2013 he joined City University of Hong Kong as an Assistant Professor in the School of Energy and Environment.
Dr. Ngan's research seeks to improve understanding of basic dynamical processes in the atmosphere through high-resolution numerical modelling. He is especially interested in interdisciplinary research, more specifically the application of techniques and approaches from applied mathematics and fluid dynamics to practical atmospheric problems. His main areas of expertise are turbulence, data assimilation, atmospheric modelling and scalar mixing and dispersion. His current research is focused on urban boundary-layer meteorology and pollutant dispersion.
numerical weather prediction
- pollutant dispersion, mixing and ventilation
Postdoctoral fellowsGuangdong Duan (PhD, City University of Hong Kong), March 2018 -
Eden Furtak-Cole (PhD, Utah State Univevrsity), May 2018 -
PhD studentsHuanhuan Wang (M.Eng, Shandong Jianzhu University), March 2018 -
Wanting Liu (MSc, University of Copenhagen), Starting September 2018
Ghar Ek Lau (PhD, University of New South Wales)
Gantuya Ganbat (PhD, Seoul National University)
James G. Jackson (PhD, University College London)
Ka Wai Lo (PhD, University of Illinois at Urbana-Champaign)
Selected recent talks
- “Effects of Time-Dependent Inflow Perturbations on Urban Flow and Ventilation”, 10th International Conference on Urban Climate, August 2018
- “Mixing and Ventilation in an Urban Street Canyon”, 21st Symposium on Boundary Layers and Turbulence, June 2018.
- “Idealised models of mixing and dispersion in urban areas”, Mini-Workshop on Urban Flow, Dispersion and Ventilation”, University of Hong Kong, March 2018.
- “Atmospheric predictability from global to urban scales”, Atmospheric Science Seminar, National Central University, Taiwan, June 2017.