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    <title>DSpace Collection:</title>
    <link>https://repository.kopri.re.kr/handle/201206/15771</link>
    <description />
    <pubDate>Mon, 14 Sep 2026 09:03:09 GMT</pubDate>
    <dc:date>2026-09-14T09:03:09Z</dc:date>
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      <title>관측 기반 북극 해양-대기경계층-구름-표층기온 상호작용 기작 규명</title>
      <link>https://repository.kopri.re.kr/handle/201206/16868</link>
      <description>Title: 관측 기반 북극 해양-대기경계층-구름-표층기온 상호작용 기작 규명
Authors: 김상우</description>
      <pubDate>Sat, 31 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16868</guid>
      <dc:date>2026-01-31T00:00:00Z</dc:date>
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      <title>딥러닝 기법에 기반한 지구시스템모델 해양 자료동화 기법 개발</title>
      <link>https://repository.kopri.re.kr/handle/201206/16856</link>
      <description>Title: 딥러닝 기법에 기반한 지구시스템모델 해양 자료동화 기법 개발
Authors: 함유근</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16856</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
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    <item>
      <title>지구시스템모델 기반 북극 해빙 위성 산출물 자료동화 시스템 개발</title>
      <link>https://repository.kopri.re.kr/handle/201206/16869</link>
      <description>Title: 지구시스템모델 기반 북극 해빙 위성 산출물 자료동화 시스템 개발
Authors: 이상무</description>
      <pubDate>Wed, 31 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16869</guid>
      <dc:date>2025-12-31T00:00:00Z</dc:date>
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      <title>Optimal localization radius of data assimilation for Arctic sea ice initialization using CICE5/DART</title>
      <link>https://repository.kopri.re.kr/handle/201206/16575</link>
      <description>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.</description>
      <pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16575</guid>
      <dc:date>2025-11-01T00:00:00Z</dc:date>
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