Education and Research experience
Senior Researcher, Environmental Planning Institute, Seoul National University, South Korea
Post-Doctoral Researcher, Environmental Planning Institute, Seoul National University, South Korea
Post-Doctoral Researcher, Center for Sustainable Environment Research, Korea Institute of Science and Technology, South Korea
Post-Doctoral Researcher, Department of Oceanography, Chonnam National University, South Korea
Department of Oceanography, Chonnam National University, South Korea, Ph.D.
Department of Oceanography, Chonnam National University, South Korea, M.S.
Faculty of Earth System and Environmental Science, Chonnam National University, South Korea, B.S.
Research Interests
- Ensemble-based data assimilation for sea ice and ocean
- Sea ice physical processes
- Polar climate
- Seasonal-to-Decadal prediction
Awards and Honors
- (2023) Graduation with honors: Summa cum laude, Department of Oceanography, Chonnam National University, South Korea
- (2018-2019) Living Expenses Scholarship, Chonnam National University, South Korea
- (2017-2021) Merit Based Scholarship, Chonnam National University, South Korea
- (2015-2017) Brain Korea 21 plus (BK-21) Scholarship, South Korea
- (2015-2016) Merit Based Scholarship, Chonnam National University, South Korea
- (2015) Graduation with honors: Summa cum laude, Department of Earth and Environmental Science, Chonnam National University, Korea
- (2012-2015) Merit Based Scholarship, Chonnam National University, South Korea
Publication
- Cheon, M., J.-H. Kim, Y. Choi, Y. -H. Choi, S. -Y. Kang, J. -G. Lee, Y. -G. Ham, J. Y. Kim & D. Kang (2025). Understanding data-driven weather forecasting by designing a cost-efficient model with knowledge-oriented modules, Scientific Report, https://doi.org/10.1038/s41598- 025-32366-3
- Jo, H.-S., Y. -G. Ham, S. -H. Oh, J. -G. Lee, M. -G. Seong, D. Cho, S. Lim, S. -Y. Kang, S. Jeong, H. -J. Lee, S. Lee, G. Kwon (2025). Recent Advances in AI-based Global Climate Modeling and Forecasting, Atmosphere, 35(4), 585-603.
- Kim, J. -S., S. -M. Lee, I. Chung, Y. -C. Noh, Y. Choi, J. -H. Kim, & J. -G. Lee (2025). Optimal Localization Radius of Data Assimilation for Arctic Sea Ice Initialization using CICE5/DART, Geoscience Letters, 12(1), 63. 10.1186/s40562-025-00440-3
- Sim, J. -H., B. -M. Kim, J. -G. Lee, Y. -K. Lim, J. -H. Kim, & J. H. Kim (2025). Sea Ice Initialization and Its Impact on Winter Seasonal Prediction Skill in Coupled Forecast System, Journal of Climate, 38(16), 3989-4001. https://doi.org/10.1175/JCLI-D-24-0524.1
- Lee, J. -G., D. Kang, J. -H. Kim, J. -M. Kim, S. -M. Lee, & Y. -G. Ham (2025). Data assimilation of satellite-derived Arctic sea ice thickness during boreal summer, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 11330-11341. https://doi.org/10.1109/JSTARS.2025.3561257
- Lee, J. -G., Y. -G. Ham, J. -G. Kim, & P. -H. Chang (2024). Generation of state-dependent ensemble perturbations based on time-varying seawater density for GloSea5 initialization, Quarterly Journal of the Royal Meteorological Society, 150(764), 4609-4630. https://doi.org/10.1002/qj.4833
- Lee, J. -G., Y. -G. Ham, J. -G. Kim, & P. -H. Chang (2024). Generation of state-dependent ensemble perturbations based on time-varying seawater density for GloSea5 initialization, Quarterly Journal of the Royal Meteorological Society, 150(764), 4609-4630. https://doi.org/10.1002/qj.4833
- Ham, Y. -G., Y. -S. Joo, J. -H. Kim, & J. -G. Lee (2024). Partial-convolution-implemented generative adversarial network for global oceanic data assimilation, Nature Machine Intelligence, 6(7), 834-843. https://doi.org/10.1038/s42256-024-00867-x