文章基本信息

标题：Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF
其他标题：Enhancing temporal correlations in EOF expansions for the reconstruction of missing data using DINEOF
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作者：Alvera-Azcárate, A. ; Barth, A. ; Sirjacobs, D. 等
期刊名称：Ocean Science
印刷版ISSN：1812-0784
电子版ISSN：1812-0792
出版年度：2009
卷号：5
期号：4
页码：475-485
DOI：10.5194/os-5-475-2009
出版社：Copernicus Publications
摘要：DINEOF (Data Interpolating Empirical Orthogonal Functions) is an EOF-based technique for the reconstruction of missing data in geophysical fields, such as those produced by clouds in sea surface temperature satellite images. A technique to reduce spurious time variability in DINEOF reconstructions is presented. The reconstruction of these images within a long time series using DINEOF can lead to large discontinuities in the reconstruction. Filtering the temporal covariance matrix allows to reduce this spurious variability and therefore more realistic reconstructions are obtained. The approach is tested in a three years sea surface temperature data set over the Black Sea. The effect of the filter in the temporal EOFs is presented, as well as some examples of the improvement achieved with the filtering in the SST reconstruction, both compared to the DINEOF approach without filtering.