Jangho Lee
Research
My research mainly involves statistical methods and machine-learning algorithms applied on various Climate & Meteorological issues and technology. These may include climate sensitivity, extremes, climate feedback, global warming, annual/diurnal cycle, down-scaling, etc. I am also interested in Big-Data analysis with artificial neural networks.
Selected Publications
Lee, J. and K.-Y. Kim (2017): Analysis of Meteorological Factors for the Variability of Spring PM10 Concentration in Seoul, Korea. Atmospheric Environment. 175, 199-209.
Lee, J. (2017): Future Trend in Seasonal Length and Extreme Temperature Distributions Over South Korea. Asia Pacific Journal of Atmospheric Science., 53(1), 31-41