On the modification of operational oceanography forecasting system for South China Sea in National Marine Environmental Forecasting Center of China
- 1National Marine Environmental Forecasting Center, Key Laboratory of Research on Marine Hazards Forecasting, Beijing, China (zuzq@nmefc.cn)
- 2National Marine Environmental Forecasting Center, Key Laboratory of Research on Marine Hazards Forecasting, Beijing, China (zhuxm@nmefc.cn)
- 3National Marine Environmental Forecasting Center, Key Laboratory of Research on Marine Hazards Forecasting, Beijing, China (wangh@nmefc.cn)
Based on ROMS and Ensemble Optimal Interpolation (EnOI) method, the South China Sea operational Oceanography Forecasting System (SCSOFS) is implemented in National Marine Environmental Forecasting Center (NMEFC), to provide the forecast of the currents, temperature and salinity in South China Sea for the future 5 days. Recently, a systematic modification has been carried out to SCSOFS to improve its forecast skill.
For the data assimilation system, new methods have been implemented, such as using Increment Analysis Update (IAU) and First Guess at Appropriate Time (FGAT), using a high-pass filter to evaluate the background error, assimilating multi-source observations, using non-uniform localization radius. In addition, the respective contribution of each method will also be discussed.
An optimization system is implemented for evaluating the values of physical parameters in ROMS, to remove the long-term bias of simulation. Argo temperature profiles is assimilated in the first half of 2017, to obtain the optimal coefficients of horizontal/vertical viscosity/diffusion and linear bottom drag. An independent validation from July of 2017 to December of 2018 shows that the simulation is improved using the optimal values.
How to cite: Zu, Z., Zhu, X., and Wang, H.: On the modification of operational oceanography forecasting system for South China Sea in National Marine Environmental Forecasting Center of China, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-6241, https://doi.org/10.5194/egusphere-egu2020-6241, 2020
