| 이름 : | 서민경 |
| 직함 : | 박사과정 |
| 이메일 : | seomg96@yonsei.ac.kr |
| 전화 : | 02-2123-4815 |
| 연구실 : | 대기예측성 및 자료동화 연구실 / 과학관 530 B호 |
| 웹페이지 : | https://apdal.yonsei.ac.kr |
연구분야
- Data assimilation
학력
- M.Sc (2021) in Atmospheric Sciences, Yonsei University, Seoul, Korea
- B.Sc (2019) in Atmospheric Sciences, Yonsei University, Seoul, Korea
수상내역
- (2024.01.10) 우수논문상, 연세대학교 대학원 2023-2학기 혁신 우수논문상 학술논문부분
- (2023.11.03) 우수논문발표상, 2023년 한국기상학회 가을학술대회 환경 및 응용기상분과
- (2022.01.12) 우수논문장려상, 연세대학교 대학원 2021-2학기 우수 논문상 석사학위과정 자연부분
논문
- Cho, Y., H. M. Kim, and M.-G. Seo, 2025: A comparison of CO2 emissions from the national greenhouse gases inventory report with CO2 emissions from the global inverse models and the regional WRF-Chem in the Korean Peninsula. Mitigation and Adaptation Strategies for Global Change, 30, 1-24, https://doi.org/10.1007/s11027-024-10195-5.
- Seo, M.-G., H. M. Kim, and D.-H. Kim, 2024: High-resolution atmospheric CO2 concentration data simulated in WRF-Chem over East Asia for 10 years. Geoscience Data Journal, 11, 1024-1043, https://doi.org/10.1002/gdj3.273.
- Seo, M.-G., H. M. Kim, and D.-H. Kim, 2024: Effect of atmospheric conditions and VPRM parameters on high-resolution regional CO2 simulations over East Asia. Theoretical and Applied Climatology, 155, 859-877, https://doi.org/10.1007/s00704-023-04663-2.
- Seo, M.-G., and H. M. Kim, 2023: Effect of meteorological data assimilation using 3DVAR on high-resolution simulations of atmospheric CO2 concentrations in East Asia. Atmospheric Pollution Research, 14, 101759, https://doi.org/10.1016/j.apr.2023.101759.