High Resolution North Western Pacific Prediction System

Abstract

KIOST (Korea Institute of Ocean Science and Technology) has developed the North Western Pacific Ocean Prediction System (NWP_OPS) as an application of the GFDL MOM5 (Modular Ocean Model Version 5) in a limited area model. The open boundary conditions for the NWP_OPS have been taken from the KIOST global climate reanalysis (Kim et al., 2015). The Data Assimilation System of the KIOST (DASK Kim et al., 2015) has been applied to assimilate the satellite-borne Sea Surface Temperature (SST) and Sea Surface Height Anomaly (SSHA), and ocean and salinity profiles taken from various sources. The DASK has been developed based on the Ensemble Optimal Interpolation (EnOI). In the case where the computational resource is limited, the Ensemble Optimal Interpolation may provide an operational and cost-effective alternative to the Ensemble Kalman Filter (EnKF Oke et al., 2007). In fact, the EnOI estimates the background error covariance by using a stationary ensemble instead of ensemble model runs such as in the EnKF (Evensen, 2003).conditions for the NWP_OPS have been taken from the KIOST global climate reanalysis (Kim et al., 2015). The Data Assimilation System of the KIOST (DASK Kim et al., 2015) has been applied to assimilate the satellite-borne Sea Surface Temperature (SST) and Sea Surface Height Anomaly (SSHA), and ocean and salinity profiles taken from various sources. The DASK has been developed based on the Ensemble Optimal Interpolation (EnOI). In the case where the computational resource is limited, the Ensemble Optimal Interpolation may provide an operational and cost-effective alternative to the Ensemble Kalman Filter (EnKF Oke et al., 2007). In fact, the EnOI estimates the background error covariance by using a stationary ensemble instead of ensemble model runs such as in the EnKF (Evensen, 2003).