A data-derived forecast model of surface currents in a semi-enclosed bay (Yeosu Bay, Republic of Korea)

Sang In Won, Korea Advanced Institute of Science and Technology, Department of Mechanical Engineering, School of Mechanical, Aerospace & Systems Engineering, Daejeon, Korea, Republic of (South) and Sung Yong Kim, Korea Advanced Institute of Sciecne and Technology, Department of Mechanical Engineering, Daejeon, Korea, Republic of (South)
Abstract:
We present a data-derived surface current forecast model based on
observations of high-frequency radar-derived surface currents, local winds, and
along-track altimeter-derived sea surface height anomalies off the southern coast
of Korea (Yeosu Bay). The coastal surface circulation in this region is decomposed
into tide-, wind-, pressure gradient-coherent components depending on their forcing
mechanisms in a hind cast model. The data-derived forecast model consists
of tidal harmonic analysis, response functions using wind stress and pressure
gradients, and autoregressive process for residuals, These basis functions were
consecutively added, and the performance of the forecast model is evaluated.
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