Preprints
https://doi.org/10.5194/gmd-2021-235
https://doi.org/10.5194/gmd-2021-235

Submitted as: development and technical paper 03 Sep 2021

Submitted as: development and technical paper | 03 Sep 2021

Review status: this preprint is currently under review for the journal GMD.

The improvements to the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv1)

Xueming Zhu1,2, Ziqing Zu1, Shihe Ren1, Miaoyin Zhang1, Yunfei Zhang1, Hui Wang3,1, and Ang Li1 Xueming Zhu et al.
  • 1National Marine Environmental Forecasting Center, Key Laboratory of Marine Hazards Forecasting, Ministry of Natural Resources, Beijing, 100081, China
  • 2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China
  • 3Institute of Marine Science and Technology, Shandong University, Qingdao, Shandong, 266237, China

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.

Xueming Zhu et al.

Status: open (until 29 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Xueming Zhu et al.

Xueming Zhu et al.

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Short summary
SCSOFS operated in NMEFC of China can provide daily updated marine forecasting in SCS for the future 5 days since 2013. Comprehensive updates have been conducted to the configurations of SCSOFS’s physical model and data assimilation scheme in order to improve forecasting skills. Three most sensitive updates are highlighted. Scientific comparison and accuracy assessment results indicate that remarkable improvements have been achieved in SCSOFSv2 with respect to the original version SCSOFSv1.