북동아시아 지역해 해양순환의 선운용모델

Abstract

An operational prediction model suitably applicable to the oceanographic condition around Korea is being developed as a synthetic system for supplying the prediction information through the national network to users who need urgently it at operational environment such as fishing, searching and rescuing, defending oil spill and red tide etc. The system is the first step in providing real-time prediction information of 3-D temperature, salinity, current fields and sea surface height around Korean Seas from KEY model (Suk et al, 1996). The research efforts are directed towards producing the better understanding of the circulation dynamics and the predictability of the prognostic variables in KEY model. The efficient three-dimensional, time-dependent prediction model has been developed and applied to Korean Seas. We present our recent progress in establishing an operational ocean prediction system for waters around Korea. One of the factors that determine the accuracy of an ocean prediction model is the quality of input data for open boundaries and sea surface forcing from observations. Most of the observed data are temperature and salinity, however, the current data for input boundary are very few. It is also affected by the data assimilation method, sub-grid scale parameterization, and numerical schemes adopted in the model. Argo float is valuable both in data assimilation and in verification of operational prediction.