Preprints
https://doi.org/10.5194/os-2020-104
https://doi.org/10.5194/os-2020-104
24 Nov 2020
 | 24 Nov 2020
Status: this preprint has been withdrawn by the authors.

The improvements to the regional South China Sea Operational Oceanography Forecasting System

Xueming Zhu, Ziqing Zu, Shihe Ren, Yunfei Zhang, Miaoyin Zhang, and Hui Wang

Abstract. South China Sea Operational Oceanography Forecasting System (SCSOFS) had been built up 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 comprehensive updates had been conducted to the configurations of the physical model and data assimilation scheme in order to improve SCSOFS forecasting skills in recent years. It highlights three of the most sensitive updates, sea surface atmospheric forcing method, tracers advection discrete scheme, and modification of data assimilation scheme. Scientific inter-comparison and accuracy assessment among five versions during the whole upgrading processes are performed by employing Global Ocean Data Assimilation Experiment OceanView 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 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.

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Xueming Zhu, Ziqing Zu, Shihe Ren, Yunfei Zhang, Miaoyin Zhang, and Hui Wang

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Xueming Zhu, Ziqing Zu, Shihe Ren, Yunfei Zhang, Miaoyin Zhang, and Hui Wang
Xueming Zhu, Ziqing Zu, Shihe Ren, Yunfei Zhang, Miaoyin Zhang, and Hui Wang

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Latest update: 19 May 2024
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Short summary
In order to improve forecasting skills of South China Sea Operational Forecasting System operated in NMEFC of China, comprehensive updates have been conducted to the configurations of physical model and data assimilation scheme. Scientific inter-comparison and accuracy assessment has been performed by employing GODAE IV-TT Class 4 metrics. The results indicate that remarkable improvements have been achieved in the new version of SCSOFS.