Abstract

South China Sea Operational Oceanography Forecasting System (SCSOFS) had been constructed and operated in National Marine Environmental Forecasting Center of China to provide daily updated hydrodynamic forecasting in SCS for the future 5 days since 2013. This paper presents recent comprehensive updates of the configurations of the physical model and data assimilation scheme in order to improve SCSOFS forecasting skills. It highlights three of the most sensitive updates, including sea surface atmospheric forcing method, tracers advection discrete scheme, and modification of data assimilation scheme. Inter-comparison and accuracy assessment among five versions during the whole upgrading processes are performed by employing OceanPredict Inter-comparison and Validation Task Team Class4 metrics. The results indicate that remarkable improvements have been achieved in SCSOFSv2 with respect to the original version known as SCSOFSv1. Domain averaged monthly mean root mean square errors decrease from 1.21 °C to 0.52 °C for sea surface temperature, from 21.6 cm to 8.5 cm for sea level anomaly, respectively.

Highlights

  • The South China Sea (SCS) is located between 2◦30 S– 23◦30 N and 99◦10 –121◦50 E

  • Compared with the results of the BulkFormula, the performance of the model skill based on the annual mean sea surface temperature (SST) rootmean-square error (RMSE) is improved by about 23 % due to the usage of the new combination scheme in SCSOFSv2

  • The three most significant updates were highlighted in this paper

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Summary

Introduction

The South China Sea (SCS) is located between 2◦30 S– 23◦30 N and 99◦10 –121◦50 E. It is a semi-closed marginal sea and has the largest area and deepest depths in the western Pacific. It is connected to the East China Sea by the Taiwan Strait to the northeast, to the northern Pacific Ocean by the Luzon Strait to the east, and to the Java Sea by the Karimata Strait to the south. It has always been a challenge to simulate or reproduce the ocean circulations and to forecast the future oceanic status using the Operational Oceanography Forecasting System (OOFS)

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