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Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART

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dc.contributor.authorKim, Ji-Soo-
dc.contributor.authorChung, Inchae-
dc.contributor.authorNoh, Young-Chan-
dc.contributor.authorChoi, Yonghan-
dc.contributor.authorKim, Joo-Hong-
dc.contributor.authorLee, Jeong-Gil-
dc.contributor.authorLee, Sang-Moo-
dc.date.accessioned2026-02-10T02:19:11Z-
dc.date.available2026-02-10T02:19:11Z-
dc.date.issued2025-11-
dc.identifier.urihttps://repository.kopri.re.kr/handle/201206/16575-
dc.description.abstractIn 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.en_US
dc.languageEnglishen_US
dc.subject.classification해당사항없음en_US
dc.titleOptimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DARTen_US
dc.title.alternative해빙모델 및 앙상블 기법을 이용한 북극 해빙자료동화 수평국지화 규모 최적화en_US
dc.typeArticleen_US
dc.identifier.bibliographicCitationKim, Ji-Soo, et al. 2025. "Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART". <em>Geoscience Letters</em>, 12(63): 0-0.-
dc.citation.titleGeoscience Lettersen_US
dc.citation.volume12en_US
dc.citation.number63en_US
dc.identifier.doihttps://doi.org/10.1186/s40562-025-00440-3-
dc.citation.startPage0en_US
dc.citation.endPage0en_US
dc.description.articleClassificationSCIE-
dc.description.jcrRateJCR 2023:0en_US
dc.subject.keywordArctic sea iceen_US
dc.subject.keywordSea ice concentrationen_US
dc.subject.keywordSea ice thicknessen_US
dc.subject.keywordData assimilationen_US
dc.subject.keywordLocalization radiusen_US
dc.identifier.localId2025-0243-
Appears in Collections  
2025-2025, 지구시스템모델 기반 북극-한반도 통합 재해기상 예측 시스템(KPOPS-Earth)의 개발 및 활용 (25-25) / 김주홍 (PE25010)
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