Articles | Volume 15, issue 3
https://doi.org/10.5194/gmd-15-995-2022
https://doi.org/10.5194/gmd-15-995-2022
Development and technical paper
 | 
03 Feb 2022
Development and technical paper |  | 03 Feb 2022

Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2)

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

Related authors

A surface ocean pCO2 product with improved representation of interannual variability using a vision transformer-based model
Xueying Zhang, Enhui Liao, Wenfang Lu, Zelun Wu, Guansuo Wang, Xueming Zhu, and Shiyu Liang
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-286,https://doi.org/10.5194/essd-2025-286, 2025
Preprint under review for ESSD
Short summary
Intraseasonal and interannual variability of sea temperature in the Arabian Sea Warm Pool
Na Li, Xueming Zhu, Hui Wang, Shouwen Zhang, and Xidong Wang
Ocean Sci., 19, 1437–1451, https://doi.org/10.5194/os-19-1437-2023,https://doi.org/10.5194/os-19-1437-2023, 2023
Short summary
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
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-104,https://doi.org/10.5194/os-2020-104, 2020
Preprint withdrawn
Short summary

Related subject area

Oceanography
GREAT v1.0: Global Real-time Early Assessment of Tsunamis
Usama Kadri, Ali Abdolali, and Maxim Filimonov
Geosci. Model Dev., 18, 3487–3507, https://doi.org/10.5194/gmd-18-3487-2025,https://doi.org/10.5194/gmd-18-3487-2025, 2025
Short summary
Using automatic calibration to improve the physics behind complex numerical models: an example from a 3D lake model using Delft3D (v6.02.10) and DYNO-PODS (v1.0)
Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard, and Marco Toffolon
Geosci. Model Dev., 18, 3473–3486, https://doi.org/10.5194/gmd-18-3473-2025,https://doi.org/10.5194/gmd-18-3473-2025, 2025
Short summary
Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes
Davi Mignac, Jennifer Waters, Daniel J. Lea, Matthew J. Martin, James While, Anthony T. Weaver, Arthur Vidard, Catherine Guiavarc'h, Dave Storkey, David Ford, Edward W. Blockley, Jonathan Baker, Keith Haines, Martin R. Price, Michael J. Bell, and Richard Renshaw
Geosci. Model Dev., 18, 3405–3425, https://doi.org/10.5194/gmd-18-3405-2025,https://doi.org/10.5194/gmd-18-3405-2025, 2025
Short summary
Resolution dependence of interlinked Southern Ocean biases in global coupled HadGEM3 models
David Storkey, Pierre Mathiot, Michael J. Bell, Dan Copsey, Catherine Guiavarc'h, Helene T. Hewitt, Jeff Ridley, and Malcolm J. Roberts
Geosci. Model Dev., 18, 2725–2745, https://doi.org/10.5194/gmd-18-2725-2025,https://doi.org/10.5194/gmd-18-2725-2025, 2025
Short summary
A new global high-resolution wave model for the tropical ocean using WAVEWATCH III version 7.14
Axelle Gaffet, Xavier Bertin, Damien Sous, Héloïse Michaud, Aron Roland, and Emmanuel Cordier
Geosci. Model Dev., 18, 1929–1946, https://doi.org/10.5194/gmd-18-1929-2025,https://doi.org/10.5194/gmd-18-1929-2025, 2025
Short summary

Cited articles

Bao, X., Wan, X., Gao, G., and Wu, D.: The characteristics of the seasonal variability of the sea surface temperature field in the Bohai Sea, the Huanghai Sea and the East China Sea from AVHRR data, Acta Oceanol. Sin., 24, 125–133, 2002. 
Barnier, B., Siefridt, L., and Marchesiello, P.: Thermal forcing for a global ocean circulation model using a three-year climatology of ECMWF analyses, J. Mar. Syst., 6, 363–380, https://doi.org/10.1016/0924-7963(94)00034-9, 1995. 
Barnier, B., Patrick, M., Miranda, A. P. D., Molines, J.-M., and Coulibaly, M.: A sigma-coordinate primitive equation model for studying the circulation in the South Atlantic, Part I: Model configuration with error estimates, Deep-Sea Res. Pt. I, 45, 543–572, 1998. 
Beckmann, A. and Haidvogel, D. B.: Numerical simulation of flow around a tall isolated seamount, Part I: problem formulation and model accuracy, J. Phys. Oceanogr. 23, 1737–1753, 1993. 
Bloom, S. C., Takacs, L. L., Silva, A. M. D., and Ledvina, D.: Data Assimilation using incremental Analysis Updates, Mon. Weather Rev., 124, 1256–1271, 1996. 
Download
Short summary
SCSOFS has provided daily updated marine forecasting in the South China Sea for the next 5 d since 2013. Comprehensive updates have been conducted to the configurations of SCSOFS's physical model and data assimilation scheme in order to improve its forecasting skill. The 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.
Share