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Journal of Korean Society of Coastal and Ocean Engineers > Volume 31(6); 2019 > Article
J Korean Soc Coast Ocean Eng 2019;31(6): 458-467. doi: https://doi.org/10.9765/KSCOE.2019.31.6.458
서남해안 관측자료를 활용한 OI 자료동화의 최적 매개변수 산정 연구
구본호1, 우승범1, 김상일2
1인하대학교 해양과학과
2부산대학교 수학과
Experimental Study of Estimating the Optimized Parameters in OI
Bon-Ho Gu1, Seung-Buhm Woo1, Sangil Kim2
1Department of Oceanography, Inha University, 100 Inha-ro, Michuhol-gu, Incheon 22212, Korea
2Department of Mathematics, Pusan National University
Corresponding author: Seung-Buhm Woo ,Tel: +82-32-860-8255, Email: sbwoo@inha.ac.kr
Received: November 18, 2019;  Revised: December 19, 2019.  Accepted: December 23, 2019.
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The purpose of this study is the suggestion of optimized parameters in OI (Optimal Interpolation) by experimental study. The observation of applying optimal interpolation is ADCP (Acoustic Doppler Current Profiler) data at the southwestern sea of Korea. FVCOM (Finite Volume Coastal Ocean Model) is used for the barotropic model. OI is to the estimation of the gain matrix by a minimum value between the background error covariance and the observation error covariance using the least square method. The scaling factor and correlation radius are very important parameters for OI. It is used to calculate the weight between observation data and model data in the model domain. The optimized parameters from the experiments were found by the Taylor diagram. Constantly each observation point requires optimizing each parameter for the best assimilation. Also, a high accuracy of numerical model means background error covariance is low and then it can decrease all of the parameters in OI. In conclusion, it is expected to have prepared the foundation for research for the selection of ocean observation points and the construction of ocean prediction systems in the future.
Keywords: unstructured grid, FVCOM, data assimilation, OI, parameterization, ADCP
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