Rackhun Son

Dr. Rackhun Son is a PostDoc Research Fellow at the Max Planck Institute for Biogeochemistry in Jena, Germany. His work focuses on integrating machine learning with Earth observation and numerical climate modeling, particularly to analyze fire and extreme weather events.

• PhD (2019-2022): Atmospheric Science, Gwangju Institute of Science and Technology, South Korea
• MS (2017-2019): Atmospheric Science, Gwangju Institute of Science and Technology, South Korea
• BS (2006-2014): Industrial Engineering & Mathematics, Hanyang University, South Korea

Son’s research combines deep learning with numerical Earth system models to study climate extremes. His projects include:

• Fire-induced air pollution analysis using satellite data (e.g., TROPOMI)
• Fire weather forecasting for the western United States
• Climate warming impacts on fire climatology (1.5°C vs 2.0°C scenarios)
• Extreme weather diagnostics in regions like California, Peru, and Korea

His publications highlight trends in applying hybrid modeling to climate science, particularly for wildfire prediction and air quality assessment. Recent work focuses on Thailand, California, and South Korea, with collaborations across climate dynamics and remote sensing domains.