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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 351 - 351 (1page)
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초록· 키워드
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The effect of assimilating satellite-based sea ice thickness (SIT) on the simulation of sea ice concentration (SIC) in the numerical sea ice model (CICE5) is explored using a data assimilation (DA) system based on the Ensemble Optimal Interpolation (EnOI). The satellite SIT data of CryoSat-2 and SMOS during 2011-2019 is assimilated, which significantly reduces the climatological bias of SIC as well as SIT.
Over the marginal ice zone (MIZ), the decrease in the climatological bias is significant during boreal winter season in which the SIT observation is available. The positive SIT bias shown in the control simulation is significantly reduced with SIT DA, and this reduces the positive SIC bias. On the other hand, over the inner ice zone (IIZ), the thickened SIT climatology during boreal winter season is led b ... 전체 초록 보기
Over the marginal ice zone (MIZ), the decrease in the climatological bias is significant during boreal winter season in which the SIT observation is available. The positive SIT bias shown in the control simulation is significantly reduced with SIT DA, and this reduces the positive SIC bias. On the other hand, over the inner ice zone (IIZ), the thickened SIT climatology during boreal winter season is led b ... 전체 초록 보기
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