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中文摘要：
简述了不同数据同化和数据融合方法在海洋环境监测与预测方面的应用、国内外相关业务单位的海洋分析和预报系统的现状,以及海洋数据同化将来的业务化应用的发展趋势。四维变分和集合卡尔曼滤波正在成为国际上海洋环境分析与预报的主要应用方向,海-气耦合数据同化以及海冰数据同化是目前数据同化方法研究的热点。
英文摘要：
This paper briefly introduces the application of data assimilation and data fusion techniques in ocean environment monitoring and forecasting, the status of related operational ocean analysis and forecast systems, and the development trend of future operational application of ocean data assimilation. Four-dimensional variation analysis and ensemble Kalman filter are emerging as the main tools of ocean dynamic environment analysis and forecast across the world. Oceanic and atmospheric coupled data assimilation and sea ice data assimilation are two hot topics in ocean data assimilation research.
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