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2020 Vol.42, Issue 3

Article

Comparison of Data Assimilation Methods in a Regional Ocean Circulation Model for the Yellow and East China Seas

자료동화 기법에 따른 황·동중국해 지역 해양순환모델 결과 비교

Joon-Ho Lee1
,
Jae-Hong Moon2*
,
Youngjin Choi3
이 준호1
,
문 재홍2*
,
최 영진3
1Basic Science Institute, Jeju National University, Jeju 63243, Korea
2Department of Earth and Marine Science, College of Ocean Sciences, Jeju National University, Jeju 63243, Korea
3GeoSystem Research Corporation, Gunpo 15807, Korea
1제주대학교 기초과학연구소, (63243) 제주특별자치도 제주시 제주대학로 102
2제주대학교 해양과학대학 지구해양과학과, (63243) 제주특별자치도 제주시 제주대학로 102
3지오시스템 리서치, (15807)경기도 군포시 엘에스로 172
*Corresponding Author
30 September 2020. pp. 179-194
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Abstract

The present study aims to evaluate the effects of satellite-based SST (OSTIA) assimilation on a regional ocean circulation model for the Yellow and East China Seas (YECS), using three different assimilation methods: the Ensemble Optimal Interpolation (EnOI), Ensemble Kalman Filter (EnKF), and 4-Dimensional Variational (4DVAR) techniques, which are widely used in the ocean modeling communities. The model experiments show that an improved initial condition by assimilating the SST affects the seasonal water temperature and water mass distributions of the YECS. In particular, the SST data assimilation influences the temperature structures horizontally and vertically in winter, thereby improving the behavior of the YS warm current water. This is due to the fact that during wintertime the water column is well mixed, which is directly updated by the SST assimilation. The model comparisons indicate that the SST assimilation can improve the model performance in resolving the subsurface structures in wintertime, but has a relatively small impact in summertime due to the strong stratification. The differences among the different assimilation experiments are obvious when the SST was sharply changed due to a typhoon passage. Overall, the EnKF and 4DVAR show better agreement with the observations than the EnOI. The relatively low performance of EnOI under storm conditions may be related with a limitation of EnOI method whereby an analysis is obtained from a number of climatological fields, and thus the typhoon-induced SST changes in short-time scales may not be adequately reflected in the data assimilation.

Keywords
4DVAR
EnKF
EnOI
data assimilation
Yellow and East China Seas
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Information
  • Publisher :Korea Institute of Ocean Science and Technology
  • Publisher(Ko) :한국해양과학기술원
  • Journal Title :Ocean and Polar Research
  • Journal Title(Ko) :Ocean and Polar Research
  • Volume : 42
  • No :3
  • Pages :179-194
  • Received Date : 2020-05-08
  • Revised Date : 2020-07-23
  • Accepted Date : 2020-08-29
  • DOI :https://doi.org/10.4217/OPR.2020.42.3.179
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