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A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System: Implementation and basic experiments

机译:区域海洋建模系统的三维变分数据同化方案:实现和基础实验

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A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System (ROMS), named ROMS3DVAR, has been described in the work of Li et al. (2008). In this paper, ROMS3DVAR is applied to the central California coastal region, an area characterized by inhomogeneity and anisotropy, as well as by dynamically unbalanced flows. A method for estimating the model error variances from limited observations is presented, and the construction of the inhomogeneous and anisotropic error correlations based on the Kronecker product is demonstrated. A set of single observation experiments illustrates the inhomogeneous and anisotropic error correlations and weak dynamic constraints used. Results are presented from the assimilation of data gathered during the Autonomous Ocean Sampling Network (AOSN) experiment during August 2003. The results show that ROMS3DVAR is capable of reproducing complex flows associated with upwelling and relaxation, as well as the rapid transitions between them. Some difficulties encountered during the experiment are also discussed.
机译:Li等人的工作描述了一种名为ROMS3DVAR的区域海洋建模系统(ROMS)的三维变体数据同化方案。 (2008)。本文将ROMS3DVAR应用于加州中部沿海地区,该地区的特征是非均质性和各向异性以及动态不平衡流动。提出了一种从有限的观测值中估计模型误差方差的方法,并说明了基于Kronecker积的非均匀和各向异性误差相关性的构造。一组单独的观察实验说明了使用的不均匀和各向异性的误差相关性以及较弱的动态约束。结果来自2003年8月在自主海洋采样网络(AOSN)实验期间收集的数据的同化。结果表明ROMS3DVAR能够再现与上升流和松弛以及它们之间的快速过渡相关的复杂流。还讨论了实验过程中遇到的一些困难。

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