Ocean Data Assimilation Systems for GODAE
Ocean Data Assimilation Systems for GODAE
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DOI：
10.5670/oceanog.2009.69
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发表时间：
2009-09
期刊：
影响因子：
2.8
通讯作者：
J. Cummings;Laurent Bertino;P. Brasseur;I. Fukumori;M. Kamachi;Matthew J. Martin;K. Mogensen;P. Oke;C. Testut;J. Verron;A. Weaver
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文献类型：
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作者：
J. Cummings;Laurent Bertino;P. Brasseur;I. Fukumori;M. Kamachi;Matthew J. Martin;K. Mogensen;P. Oke;C. Testut;J. Verron;A. Weaver
海洋数据同化已达到足够成熟的程度，因此通常将观测结果与模式预报相结合，以产生各种海洋产品。海洋数据同化的方法在方法的复杂性和同化的观测值方面差异很大，在预测误差协方差、模型偏差、观测误差和质量控制程序的规定方面也有很大差异。在本文中，我们描述了在全球海洋数据同化实验(GODAE)社区内开发的一些海洋数据同化系统。我们讨论同化方法、同化观测和用于确定误差协方差的技术。此外，我们描述了一些分析系统的实际实现方面，并给出了分析性能结果。最后，我们描述了在2008年以后的后GODAE时期改进同化系统的计划。
Ocean data assimilation has reached a sufficient level of maturity such that observations are routinely combined with model forecasts to produce a variety of ocean products. Approaches to ocean data assimilation vary widely both in terms of the sophistication of the method and the observations assimilated, and also in terms of specification of the forecast error covariances, model biases, observation errors, and quality-control procedures. In this paper, we describe some of the ocean data assimilation systems that have been developed within the Global Ocean Data Assimilation Experiment (GODAE) community. We discuss assimilation methods, observations assimilated, and techniques used to specify error covariances. In addition, we describe practical implementation aspects and present analysis performance results for some of the analysis systems. Finally, we describe plans for improving the assimilation systems in the post-GODAE time period beyond 2008.