Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2)
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Published:2022-02-03
Issue:3
Volume:15
Page:995-1015
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Zhu XuemingORCID, Zu Ziqing, Ren ShiheORCID, Zhang Miaoyin, Zhang Yunfei, Wang Hui, Li Ang
Abstract
Abstract. The South China Sea Operational Oceanography
Forecasting System (SCSOFS), constructed and operated by the National Marine
Environmental Forecasting Center of China, has been providing daily updated
hydrodynamic forecasting in the South China Sea (SCS) for the next 5 d since 2013. This
paper presents recent comprehensive updates to the configurations of the
physical model and data assimilation scheme in order to improve the
forecasting skill of the SCSOFS. This paper highlights three of the most
sensitive updates: the sea surface atmospheric forcing method, the
discrete tracer advection scheme, and a modification of the data assimilation
scheme. Intercomparison and accuracy assessment among the five sub-versions
were performed during the entire upgrading process using the OceanPredict
Intercomparison and Validation Task Team Class 4 metrics. The results
indicate that remarkable improvements have been made to the SCSOFSv2 with
respect to the original version (known as SCSOFSv1). The domain-averaged
monthly mean root-mean-square errors of the sea surface temperature and sea
level anomaly have decreased from 1.21 to 0.52 ∘C and from 21.6 to 8.5 cm, respectively.
Funder
Southern Marine Science and Engineering Guangdong Laboratory National Natural Science Foundation of China
Publisher
Copernicus GmbH
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