Jangho Lee
Postdoctoral Research Associate
Climate informatics, climate impact, remote sensing, statistical climatology, extreme events, ML/DL applications
Contact
Building & Room:
3164 SES
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About
As a climate researcher, I am deeply committed to advancing our understanding of the Earth’s climate system. I have a particular interest in the field of climate informatics, which combines data science, computer science, and information technology to analyze and understand the Earth’s climate system. I am also passionate about researching extreme climate events, such as heatwaves and cold snaps, to better understand the impacts of these events on the Earth’s system and to develop strategies to address the challenges posed by a changing climate.
In addition to my interest in climate informatics and extreme climate events, I am also skilled in machine learning and deep learning techniques, which I believe are crucial tools for analyzing large and complex climate datasets. I am driven to use these skills to uncover new insights into the Earth’s climate system and to contribute to the development of data-driven solutions to address the challenges posed by a changing climate.
Selected Publications
- Lee, J., & Dessler, A. E. (2023). Future Temperature‐Related Deaths in the US: The Impact of Climate Change, Demographics, and Adaptation. GeoHealth, 7(8), e2023GH000799.
- Lee, J., & Dessler, A. E. (2022). The impact of neglecting climate change and variability on ercot’s forecasts of electricity demand in texas. Weather, Climate, and Society, 14(2), 499-505.
- Lee, J., Mast, J. C., & Dessler, A. E. (2021). The effect of forced change and unforced variability in heat waves, temperature extremes, and associated population risk in a CO 2-warmed world. Atmospheric Chemistry and Physics, 21(15), 11889-11904.
- Lee, J., Shi, Y. R., Cai, C., Ciren, P., Wang, J., Gangopadhyay, A., & Zhang, Z. (2021). Machine learning based algorithms for global dust aerosol detection from satellite images: inter-comparisons and evaluation. Remote Sensing, 13(3), 456.
- Lee, J., & Kim, K. Y. (2018). Analysis of source regions and meteorological factors for the variability of spring PM10 concentrations in Seoul, Korea. Atmospheric Environment, 175, 199-209.
- Lee, J. (2017). Future trend in seasonal lengths and extreme temperature distributions over South Korea. Asia-Pacific Journal of Atmospheric Sciences, 53, 31-41.
Education
B.S. Seoul National University, Earth and Environmental Sciences (South Korea)
Ph.D. Texas A&M University, Atmospheric Sciences