Ham, Yoo-Geun

Dept. of Environmental Planning / Environmental Management

Doctor of Science | Associate Professor

AI-Climate/Environmental interdisciplinary studies, AI-based climate forecasts, AI-based data assimilation, Climate variability/change mechanism

yoogeun@snu.ac.kr

02-880-8522

학력

2009. 8월

서울대학교 지구환경과학부 대기과학전공(석박통합, 이학박사)
2003. 2월

서울대학교 지구환경과학부 대기과학전공(이학학사)

주요 경력

2024.03 -

서울대학교 환경대학원 환경계획학과 부교수
2021.09 - 2024.02

전남대학교 해양학과 정교수
2016.09 - 2021.08

전남대학교 해양학과 부교수
2013.10 - 2016.08

전남대학교 해양학과 조교수
2012.07 - 2013.09

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Scientist 2
2010.03 - 2012.06

Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Scientist 1
2009.09 - 2010.03

서울대학교 기초과학연구원, 박사후연구원
2021.01 -

WGNE MJO Task Force, Member
2020.09 -

WWRP/WCRP S2S Machine Learning working group, Member
2019.11 -

차새대과학기술한림원 정회원
2015.02 -

Backbone Observing System Task Team, Panel
2013.02 - 2014.01

US CLIVAR Predictability, Prediction and Applications Interface (PPAI), Panel

수상 경력

2023

전남대학교, 우수학술연구자상
2020

과학기술정보통신부, 젊은 과학자상 (대통령상)
2020

과학기술정보통신부,국가연구개발 우수성과 100선 기초분야 최우수 성과
2020

전남대학교, 용봉학술상
2019

전남대학교, 이달의 전남대인
2014

해양학회, Best paper award in physical oceanography
2013

GESTAR, Excellence in GESTAR mission achievement
2013

Global Modeling and Assimilation Office, Outstanding Scientific Achievement
2010

Brain Korea 21, Excellent paper in 2010
2009

해양학회, Outstanding achievement

대표 연구 논문

Y. –G. Ham*, J. –H. Kim, S. –K. Min, D. Kim, T. Li, A. Timmermann, and M. F. Stuecker, 2023: Anthropogenic fingerprints in daily precipitation revealed by deep learning. Nature, 622, 301-307. https://doi.org/10.1038/s41586-023-06474-x.

Y. –G. Ham*, J. –H. Kim, and J. –J. Luo, 2019: Deep learning for multi-year ENSO forecasts. Nature, 573, 568-572. https://doi.org/10.1038/s41586-019-1559-7.

Y. –G. Ham*, J. –H. Kim, E. –S. Kim, and K. –Y. On, 2021: Unified deep learning model for ENSO forecasts by incorporating seasonality in climate data, Sci. Bull., 66(13), 1358-1366. https://doi.org/10.1016/j.scib.2021.03.009.

H. -S. Jo, and Y. –G. Ham*, 2023: Enhanced joint impact of the western hemispheric precursors on the El Nino-Southern Oscillation under greenhouse warming. Nature Comms. 14(1), 6356.

H. -S. Jo, Y. -G. Ham*, J. -S. Kug, T. Li, J. -H. Kim, and J. -G. Kim, 2022: Southern Indian Ocean Dipole as a trigger for El Niño events since the 2000s, Nature Communications, 13(1), 6965.

Y. -G. Ham*, 2018 : El Nino events set to intensify, Nature, 564, 192-193. doi:10.1038/d41586-018-07638-w.

Y. -G. Ham, J. –S. Kug, J. –Y. Choi, F. –F. Jin, and M. Watanabe 2018 : Inverse relationship between present-day tropical precipitation and its sensitivity to greenhouse warming, Nature Climate Change, 8, 64-69, doi:10.1038/s41558-017-0033-5.

Y.-G. Ham, J.-S. Kug, J.-Y. Park, and F.-F. Jin, 2013 : Sea surface temperature in the north tropical Atlantic as a trigger for El Niño/Southern Oscillation events, Nature Geoscience, 6, 112-116, 10.1038/ngeo1686.

J. -G. Lee, and Y. –G. Ham*, 2023: Impact of thickness satellite data assimilation on bias reduction in Arctic sea ice concentration. npj climate and atmospheric science., 6, 73, http://doi.org/10.10038/s41612-023-00402-6.

S. –H. Oh, and Y. -G. Ham* 2023: Taylor expansion of the correlation metric for an individual forecast verification and its application to East Asian climate forecasts, Clim. Dyn., 61, 2623-2636.