[대기] [기상기후세미나] 최석진 교수 (강원대학교 대기환경과학과)
일시 : 2026-06-04(목) 13:30 ~ 14:30
연사 : 최석진 교수
소속 : 강원대학교 대기환경과학과
문의 : 김도연(doyeon.kim@snu.ac.kr)
장소 : 501동 1층 목암홀
Title: Our Efforts of NWP Modeling: KIM Dynamical Core
[Abstract]
Numerical weather prediction (NWP) modeling is the process of solving the governing equations of the atmosphere using numerical methods. This seminar introduces the basic concepts of NWP modeling with emphasis on dynamical cores, discretization methods, and computational efficiency.
Major spatial discretization approaches, including finite difference, finite volume, spectral, finite element, and spectral element methods, are briefly reviewed. The spectral element method is highlighted as an approach that combines high-order accuracy with local scalability. As a practical example, the Korea Integrated Model (KIM) dynamical core is presented, including its cubed-sphere spectral-element discretization, hybrid-sigma vertical coordinate, and time-split Runge Kutta time integration.
Recent efforts to improve KIM are also introduced, including variable-resolution modeling, improved vertical coordinates, and time-splitting physics dynamics coupling. Through these efforts, KIM continues to be developed toward more accurate and efficient weather and climate prediction.
[Abstract]
Numerical weather prediction (NWP) modeling is the process of solving the governing equations of the atmosphere using numerical methods. This seminar introduces the basic concepts of NWP modeling with emphasis on dynamical cores, discretization methods, and computational efficiency.
Major spatial discretization approaches, including finite difference, finite volume, spectral, finite element, and spectral element methods, are briefly reviewed. The spectral element method is highlighted as an approach that combines high-order accuracy with local scalability. As a practical example, the Korea Integrated Model (KIM) dynamical core is presented, including its cubed-sphere spectral-element discretization, hybrid-sigma vertical coordinate, and time-split Runge Kutta time integration.
Recent efforts to improve KIM are also introduced, including variable-resolution modeling, improved vertical coordinates, and time-splitting physics dynamics coupling. Through these efforts, KIM continues to be developed toward more accurate and efficient weather and climate prediction.
첨부파일 (1개)
- SNU_seminar_abstract.pdf (10 KB, download:2)
