Singular spectrum analysis (SSA), among other methods of decomposition based on empirical orthogonal functions (EOF), expands opportunities for statistical analysis of data fields. The authors suggest using two-dimensional version of SSA (2D-SSA) for processing in-situ hydrological data and prove that this method is applicable for this purpose. The authors consider key features and advantages of this approach as well as its procedural sequence and offer physical interpretation of the results based on full understanding of contribution of various factors to the hydrological situation. The examples of processing of the field measurements carried out in the shelf zone of the Sea of Japan are presented in the paper. The first dataset contained the data of profiling for one-and-a-half-hours with the intervals of two minutes at one observation point. The second consisted of the data of a single profile section along which observations were made three times several weeks apart. In both cases, the singled out two-dimensional structures were ordered according to the degree of their influence on the general hydrological picture. The filtration carried out this way made it possible in the first case to consider wave dynamics in detail, and in the second case to clarify the features of spatial geometry of the currents and vertical convection. In general, the use of 2D-SSA made it possible to interpret the results of the survey with a high degree of accuracy.

在基于经验正交函数（EOF）的其他分解方法中，奇异频谱分析（SSA）扩展了数据字段统计分析的机会。作者建议使用SSA的二维版本（2D-SSA）处理现场水文数据，并证明此方法适用于此目的。作者考虑了这种方法的关键特征和优势，以及其程序顺序，并在充分了解各种因素对水文状况的影响的基础上，对结果进行了物理解释。本文介绍了在日本海的陆架区进行的野外测量的处理示例。第一个数据集包含一个半小时的剖析数据，每个观察点的间隔为两分钟。第二个数据由单个剖面部分的数据组成，沿该数据部分相隔数周进行了三次观测。在这两种情况下，根据二维结构对总体水文图景的影响程度对它们进行排序。通过这种方式进行的过滤，在第一种情况下可以详细考虑波浪动力学，在第二种情况下可以阐明水流和垂直对流的空间几何特征。通常，使用2D-SSA可以高度准确地解释调查结果。根据二维结构对整体水文图景的影响程度，对二维结构进行排序。通过这种方式进行的过滤，在第一种情况下可以详细考虑波浪动力学，在第二种情况下可以阐明水流和垂直对流的空间几何特征。通常，使用2D-SSA可以高度准确地解释调查结果。根据二维结构对整体水文图景的影响程度，对二维结构进行排序。通过这种方式进行的过滤，在第一种情况下可以详细考虑波浪动力学，在第二种情况下可以阐明水流和垂直对流的空间几何特征。通常，使用2D-SSA可以高度准确地解释调查结果。