Research Groups

Earth and environmental sciences are basically big data sciences. Observational data and numerical model output used for weather and air quality forecasts amount to several terabytes per day. A few dozen terabytes data are used for climate change and seismic studies. In analyzing such big data, various statistical and numerical methods are employed.

This research group aims to analyze environmental big data especially by utilizing new methods such as machine learning and deep learning. The faculty members participating in this group are Profs. Duk-Jin Kim, YoungHee Kim, Rokjin Park, Sungsu Park, Seok-Woo Son, Sang-Mook Lee, Junkee Rhie, Yang-Ki Cho, and Chang-Hoi Ho. They all conduct fundamental studies for mining, selecting, analyzing, modeling, and visualizing geoscience big data. Through interdisciplinary collaborations, the state-of-the-art methodologies are applied to better understand and forecast natural disasters such as poor air quality, weather and climate extremes, and geological disasters. The analysis and predicted results could be useful to reduce natural disasters and socioeconomic damages.