DSpace Collection: https://repository.kopri.re.kr/handle/201206/15771 2026-09-14T09:03:19Z 2026-09-14T09:03:19Z 관측 기반 북극 해양-대기경계층-구름-표층기온 상호작용 기작 규명 김상우 https://repository.kopri.re.kr/handle/201206/16868 2026-08-26T05:50:12Z 2026-01-31T00:00:00Z Title: 관측 기반 북극 해양-대기경계층-구름-표층기온 상호작용 기작 규명 Authors: 김상우 2026-01-31T00:00:00Z 딥러닝 기법에 기반한 지구시스템모델 해양 자료동화 기법 개발 함유근 https://repository.kopri.re.kr/handle/201206/16856 2026-08-26T05:25:32Z 2026-01-01T00:00:00Z Title: 딥러닝 기법에 기반한 지구시스템모델 해양 자료동화 기법 개발 Authors: 함유근 2026-01-01T00:00:00Z 지구시스템모델 기반 북극 해빙 위성 산출물 자료동화 시스템 개발 이상무 https://repository.kopri.re.kr/handle/201206/16869 2026-08-26T05:52:55Z 2025-12-31T00:00:00Z Title: 지구시스템모델 기반 북극 해빙 위성 산출물 자료동화 시스템 개발 Authors: 이상무 2025-12-31T00:00:00Z Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART Kim, Ji-Soo Chung, Inchae Noh, Young-Chan Choi, Yonghan Kim, Joo-Hong Lee, Jeong-Gil Lee, Sang-Moo https://repository.kopri.re.kr/handle/201206/16575 2026-02-10T02:19:11Z 2025-11-01T00:00:00Z Title: Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART Authors: Kim, Ji-Soo; Chung, Inchae; Noh, Young-Chan; Choi, Yonghan; Kim, Joo-Hong; Lee, Jeong-Gil; Lee, Sang-Moo Abstract: In data assimilation (DA), localization, which adjusts the influence of observations on model state vectors, is an essential process for improving initial conditions. Given that the localization radius varies depending on the model and observation, sensitivity tests were conducted to identify the optimal localization radius for assimilating satellite-derived sea ice concentration and sea ice thickness into Los Alamos Sea Ice Model version 5 (CICE5) using Data Assimilation Research Testbed (DART). In all experiments, the updated Arctic sea ice initial conditions were generally improved across Pan-Arctic regions and time periods. Based on the sensitivity tests, the optimal localization radius for univariate DA was approximately 0.05 radians which is the default value in CICE5/DART. However, for multivariate DA, it was around 0.02 radians. This implies that the optimal localization condition for assimilation may vary depending on whether univariate or multivariate observations are being assimilated. 2025-11-01T00:00:00Z