About
Jeong-Hwan Kim, Ph.D.
Research Experience
March 2024 – present
Postdoctoral Researcher
Center for Climate and Carbon Cycle Research, Korea Institute of Science and Technology
Supervisor: Dr. Daehyun Kang
Center for Climate and Carbon Cycle Research, Korea Institute of Science and Technology
Supervisor: Dr. Daehyun Kang
March 2023 – February 2024
Postdoctoral Researcher
Faculty of Earth System and Environmental Science, Chonnam National University
Supervisor: Prof. Yoo-Geun Ham
Faculty of Earth System and Environmental Science, Chonnam National University
Supervisor: Prof. Yoo-Geun Ham
Education
2018 – 2023 · Ph.D. in Oceanography
Chonnam National University, Gwangju, South Korea
Thesis: Convolutional networks for climate projections and tropical variability prediction
Advisor: Prof. Yoo-Geun Ham
Thesis: Convolutional networks for climate projections and tropical variability prediction
Advisor: Prof. Yoo-Geun Ham
2016 – 2018 · M. Sc. in Oceanography
Chonnam National University, Gwangju, South Korea
Thesis: Development of the ENSO prediction system using convolutional neural network
Advisor: Prof. Yoo-Geun Ham
Thesis: Development of the ENSO prediction system using convolutional neural network
Advisor: Prof. Yoo-Geun Ham
2010 – 2016 · B. S. in Earth Systems and Environmental Sciences
Chonnam National University, Gwangju, South Korea
Thesis: Study on the relationship between diatom blooms and large-scale climate patterns
Advisor: Prof. Yoo-Geun Ham
*Served R.O.K. Army from August 2011 to May 2013
Thesis: Study on the relationship between diatom blooms and large-scale climate patterns
Advisor: Prof. Yoo-Geun Ham
*Served R.O.K. Army from August 2011 to May 2013
Research Interest
- AI-based Earth system modeling
- Ocean–atmosphere and land–atmosphere interactions in climate variability
- Subseasonal-to-multiyear prediction and predictability
- Climate change detection, attribution, and extremes
Research Project Experience
Mar 2025 – Feb 2031 · Principal Investigator [Sejong Science Fellowship]
Project Title: Development of a deep learning-based ocean-atmosphere coupled long-term prediction system
Supported by the National Research Foundation of Korea grant funded by the Korean Government (MSIT) (KRW ₩555,425,000≈USD $380,000)
Supported by the National Research Foundation of Korea grant funded by the Korean Government (MSIT) (KRW ₩555,425,000≈USD $380,000)
May 2026 – Dec 2026 · Principal Investigator [2026 KIST Postdoctoral Fellowship]
Project Title: A study on deep learning-based nonlinear optimal ensemble perturbation methods
Supported by the Korea Institute of Science and Technology (KIST) (KRW ₩8,500,000≈USD $5,700)
Supported by the Korea Institute of Science and Technology (KIST) (KRW ₩8,500,000≈USD $5,700)
Peer-Review Work
- Nature [1], Nature Geoscience [1], Nature Communications [2], Science Advances [2], Advances in Atmospheric Sciences [1], Communications Earth & Environment [1], npj Climate and Atmospheric Science [1], Geophysical Research Letters [1]
Visiting Experience
Jan 2021 – Feb 2021 · Prof. Tim Li
University of Hawaii at Manoa, Hawaii, The United States of America