EOF Calculations and Data Filling from Incomplete Oceanographic Datasets
EOF Calculations and Data Filling from Incomplete Oceanographic Datasets
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DOI：
10.1175/1520-0426(2003)020
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发表时间：
2003-12
影响因子：
2.2
通讯作者：
J. Beckers;M. Rixen
中科院分区：
文献类型：
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作者：
J. Beckers;M. Rixen
提出了一种从海洋数据序列中推断缺失数据并提取相关经验正交函数的新的自洽方法。作为副产品，新方法允许通过对完整或不完整数据集的交叉验证过程来检测统计上有意义的EOFs的数量，以及噪声水平和内插误差。由于所提出的填充和分析方法不需要关于误差协方差结构的先验信息，因此该方法是自洽的，并且不需要参数
The paper presents a new self-consistent method to infer missing data from oceanographic data series and to extract the relevant empirical orthogonal functions. As a by-product, the new method allows for the detection of the number of statistically significant EOFs by a cross-validation procedure for a complete or incomplete dataset, as well as the noise level and interpolation error. Since the proposed filling and analysis method does not need a priori information about the error covariance structure, the method is self-consistent and parameter free