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Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model

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  • Zhenchang Zhang

    (Fujian Agriculture and Forestry University, Department of Computer Science, Fuzhou, China)

  • Libin Gao

    (Fujian Agriculture and Forestry University, Department of Computer Science, Fuzhou, China)

  • Minquan Guo

    (Fujian Marine Forecasts, Fuzhou, China)

  • Riqing Chen

    (Fujian Agriculture and Forestry University, Department of Computer Science, Fuzhou, China)

Abstract

The 4D variational (4DVAR) assimilation numerical ocean model research is proposed. This model for Taiwan Straits (TWS) is based on Regional Ocean Model System (ROMS). The background of the 4DVAR method is introduced and the development process of assimilation system is presented. In the present research, the model assimilated with Sea Surface Temperature (SST) data of HY-2 satellite (Qi, 2012; Xu, 2013) which is the first marine environmental monitoring satellite of China. In this paper, the model processes from Feb. 1 to Feb. 7, 2014 with one-day assimilation time window and root mean square error (RMSE) reduces averagely by 14.7%.

Suggested Citation

  • Zhenchang Zhang & Libin Gao & Minquan Guo & Riqing Chen, 2017. "Application of HY-2 Satellite SST Data in 4D Variational Assimilation Ocean Forecast Model," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 8(2), pages 15-26, April.
    • Handle: RePEc:igg:jdst00:v:8:y:2017:i:2:p:15-26
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