Articles | Volume 16, issue 7
https://doi.org/10.5194/nhess-16-1639-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1639-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
20 Jul 2016
Research article |
| 20 Jul 2016
Comparison and validation of global and regional ocean forecasting systems for the South China Sea
Xueming Zhu
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Hui Wang
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Guimei Liu
CORRESPONDING AUTHOR
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Charly Régnier
Mercator Océan, Ramonville Saint Agne, France
Xiaodi Kuang
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Dakui Wang
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Shihe Ren
Key Laboratory of Research on Marine Hazards Forecasting, National
Marine Environmental Forecasting Center, Beijing, 100081, China
Zhiyou Jing
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
Marie Drévillon
Mercator Océan, Ramonville Saint Agne, France
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Cited
10 citations as recorded by crossref.
- Controlling factor analysis of oceanic surface pCO2 in the South China Sea using a three-dimensional high-resolution biogeochemical model M. Zhang et al. 10.3389/fmars.2023.1155979
- Detection of Fronts as a Metric for Numerical Model Accuracy E. Douglass & A. Mask 10.1175/JTECH-D-18-0106.1
- Oceanic and ecological response to native Typhoons Cempaka and Lupit (2021) along the northern South China Sea continental shelf: comparison and evaluation of global and regional Operational Oceanography Forecasting Systems S. Guo et al. 10.3389/fmars.2023.1175263
- Impact of assimilating altimeter data on eddy characteristics in the South China Sea J. Xie et al. 10.1016/j.ocemod.2020.101704
- MEC: A Mesoscale Events Classifier for Oceanographic Imagery G. Pieri et al. 10.3390/app13031565
- Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2) X. Zhu et al. 10.5194/gmd-15-995-2022
- The Adriatic Sea and Coast modelling suite: Evaluation of the meteotsunami forecast component C. Denamiel et al. 10.1016/j.ocemod.2019.02.003
- Operational forecasting for Sanchi oil spill Q. Pan et al. 10.1016/j.apor.2021.102548
- Space-Air-Sea-Ground Integrated Monitoring Network-Based Maritime Transportation Emergency Forecasting Q. Pan et al. 10.1109/TITS.2021.3134838
- Removing the systematic errors of the model in operational oceanography forecasting system using data assimilation method Z. Zu et al. 10.1088/1742-6596/2718/1/012027
10 citations as recorded by crossref.
- Controlling factor analysis of oceanic surface pCO2 in the South China Sea using a three-dimensional high-resolution biogeochemical model M. Zhang et al. 10.3389/fmars.2023.1155979
- Detection of Fronts as a Metric for Numerical Model Accuracy E. Douglass & A. Mask 10.1175/JTECH-D-18-0106.1
- Oceanic and ecological response to native Typhoons Cempaka and Lupit (2021) along the northern South China Sea continental shelf: comparison and evaluation of global and regional Operational Oceanography Forecasting Systems S. Guo et al. 10.3389/fmars.2023.1175263
- Impact of assimilating altimeter data on eddy characteristics in the South China Sea J. Xie et al. 10.1016/j.ocemod.2020.101704
- MEC: A Mesoscale Events Classifier for Oceanographic Imagery G. Pieri et al. 10.3390/app13031565
- Improvements in the regional South China Sea Operational Oceanography Forecasting System (SCSOFSv2) X. Zhu et al. 10.5194/gmd-15-995-2022
- The Adriatic Sea and Coast modelling suite: Evaluation of the meteotsunami forecast component C. Denamiel et al. 10.1016/j.ocemod.2019.02.003
- Operational forecasting for Sanchi oil spill Q. Pan et al. 10.1016/j.apor.2021.102548
- Space-Air-Sea-Ground Integrated Monitoring Network-Based Maritime Transportation Emergency Forecasting Q. Pan et al. 10.1109/TITS.2021.3134838
- Removing the systematic errors of the model in operational oceanography forecasting system using data assimilation method Z. Zu et al. 10.1088/1742-6596/2718/1/012027
Latest update: 18 Apr 2024
Short summary
This paper examined the performances of two operational ocean forecasting systems, Mercator Océan in France and SCSOFS in China, based on observed satellite and in situ data obtained in 2012. The comparison and validation are focused on the ocean circulations, the structures of temperature and salinity, and some mesoscale activities in the South China Sea. Finally, some recommendations have been proposed for both systems to improve their performances in the near future.
This paper examined the performances of two operational ocean forecasting systems, Mercator...
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