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http://dx.doi.org/10.9765/KSCOE.2019.31.6.458

Experimental Study of Estimating the Optimized Parameters in OI  

Gu, Bon-Ho (Department of Oceanography, Inha University)
Woo, Seung-Buhm (Department of Oceanography, Inha University)
Kim, Sangil (Department of Mathematics, Pusan National University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.31, no.6, 2019 , pp. 458-467 More about this Journal
Abstract
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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