“选尺度资料同化”方法在海洋数值模拟中的应用: 对一次西沙强暖涡过程的模拟试验*

doi:10.11978/2015052

Abstract

Abstract: Scale-selective data assimilation (SSDA), through considering multiscale features in both observational data and model variables during assimilation, can selectively adjust certain scales of motion while keeping other scales unchanged. To test the effectiveness of SSDA in ocean data assimilation, an exceptional anticyclonic eddy event in August 2010 over the sea area of the Xisha Islands (referred to as Xisha Warm Eddy) is chosen. In this study, we compared the effects of assimilating sea level anomaly (SLA) and its derived geostrophic currents. Geostrophic currents were assimilated in two ways, applying the SSDA or not. Results showed that assimilating SLA or geostrophic currents can both improve the simulation of Xisha Warm Eddy. On one hand, assimilating SLA improved the horizontal size of Xisha Warm Eddy since the velocity field followed the change of pressure field, permitting divergence of sea water. On the other hand, assimilating geostrophic currents improved the intensity of Xisha Warm Eddy because SSDA can adjust pressure field according to velocity field, which helped maintain the convergence of Xisha Warm Eddy. Simultaneously assimilating both geostrophic currents and SLA improved the simulation most significantly. Therefore, SSDA is necessary for assimilating geostrophic currents.

Key words: Xisha Warm Eddy, scale-selective data assimilation (SSDA), geostrophic current, satellite altimeter

WANG Pinqiang, LI Yineng, PENG Shiqiu. Application of scale-selective data assimilation method in ocean modeling: simulation of a strong warm eddy in Xisha[J].Journal of Tropical Oceanography, 2016, 35(2): 30-39.

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Application of scale-selective data assimilation method in ocean modeling: simulation of a strong warm eddy in Xisha

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