Jangho Lee

Jangho Lee

Graduate Research Assistant


  Eller O&M 1210P


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


B.S Seoul National University



Additional Information

Advisor: Andrew Dessler

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