Development of a fine-resolution atmosphere-wave-ocean coupled forecasting model for the South China Sea and its adjacent seas

Sun Junchuan; Wei Zexun; Xu Tengfei; Sun Meng; Liu Kun; Yang Yongzeng; Chen Li; Zhao Hong; Yin Xunqiang; Feng Weizhong; Zhang Zhiyuan; Wang Yonggang

doi:10.1007/s13131-019-1419-1

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Article Navigation > Acta Oceanologica Sinica > 2019 > 38(4): 154-166

Sun Junchuan, Wei Zexun, Xu Tengfei, Sun Meng, Liu Kun, Yang Yongzeng, Chen Li, Zhao Hong, Yin Xunqiang, Feng Weizhong, Zhang Zhiyuan, Wang Yonggang. Development of a fine-resolution atmosphere-wave-ocean coupled forecasting model for the South China Sea and its adjacent seas[J]. Acta Oceanologica Sinica, 2019, 38(4): 154-166. doi: 10.1007/s13131-019-1419-1

Citation:

Sun Junchuan, Wei Zexun, Xu Tengfei, Sun Meng, Liu Kun, Yang Yongzeng, Chen Li, Zhao Hong, Yin Xunqiang, Feng Weizhong, Zhang Zhiyuan, Wang Yonggang. Development of a fine-resolution atmosphere-wave-ocean coupled forecasting model for the South China Sea and its adjacent seas[J]. Acta Oceanologica Sinica, 2019, 38(4): 154-166. doi: 10.1007/s13131-019-1419-1

Citation:

Sun Junchuan, Wei Zexun, Xu Tengfei, Sun Meng, Liu Kun, Yang Yongzeng, Chen Li, Zhao Hong, Yin Xunqiang, Feng Weizhong, Zhang Zhiyuan, Wang Yonggang. Development of a fine-resolution atmosphere-wave-ocean coupled forecasting model for the South China Sea and its adjacent seas[J]. Acta Oceanologica Sinica, 2019, 38(4): 154-166. doi: 10.1007/s13131-019-1419-1

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Development of a fine-resolution atmosphere-wave-ocean coupled forecasting model for the South China Sea and its adjacent seas

doi: 10.1007/s13131-019-1419-1

1.
Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China;Laboratory for Regional Oceanography and Numerical Modeling, Qingdao NationalLaboratory for Marine Science and Technology, Qingdao 266237, China
2.
National Marine Environmental Forecasting Center, Ministry of Natural Resources, Beijing 100081, China
3.
South China Sea Marine Prediction Center, Ministry of Natural Resources, Guangzhou 510310, China
4.
Hydro-Meteorological Center of Navy, PLA, Beijing 100161, China

Received Date: 2018-03-23

Abstract

Abstract

A 72-h fine-resolution atmosphere-wave-ocean coupled forecasting system was developed for the South China Sea and its adjacent seas. The forecasting model domain covers from from 15°S to 45°N in latitude and 99°E to 135°E in longitude including the Bohai Sea, the Yellow Sea, the East China Sea, the South China Sea and the Indonesian seas. To get precise initial conditions for the coupled forecasting model, the forecasting system conducts a 24-h hindcast simulation with data assimilation before forecasting. The Ensemble Adjustment Kalman Filter (EAKF) data assimilation method was adopted for the wave model MASNUM with assimilating Jason-2 significant wave height (SWH) data. The EAKF data assimilation method was also introduced to the ROMS model with assimilating sea surface temperature (SST), mean absolute dynamic topography (MADT) and Argo profiles data. To improve simulation of the structure of temperature and salinity, the vertical mixing scheme of the ocean model was improved by considering the surface wave induced vertical mixing and internal wave induced vertical mixing. The wave and current models were integrated from January 2014 to October 2015 driven by the ECMWF reanalysis 6 hourly mean dataset with data assimilation. Then the coupled atmosphere-wave-ocean forecasting system was carried out 14 months operational running since November 2015. The forecasting outputs include atmospheric forecast products, wave forecast products and ocean forecast products. A series of observation data are used to evaluate the coupled forecasting results, including the wind, SHW, ocean temperature and velocity. The forecasting results are in good agreement with observation data. The prediction practice for more than one year indicates that the coupled forecasting system performs stably and predict relatively accurate, which can support the shipping safety, the fisheries and the oil exploitation.
- South China Sea,
- COAWST model,
- MASNUM model,
- atmosphere-wave-ocean forecasting system,
- data assimilation

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References

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