Abstract
In this study, EOF analysis and CSEOF analysis were applied to major ASOS precipitation data in Korea to evaluate the spatiotemporal variability of precipitation in Korea. It was concluded that both EOF and CSEOF analyses are appropriate for identifying the spatiotemporal characteristics of precipitation in Korea. In particular, the CSEOF analysis method was able to interpret the temporal, cyclic behavior of precipitation data in detail. Both EOF and CSEOF showed that the first component explained the variance of most of the raw data. From the first EOF to the third EOF, the authors identified the average precipitation characteristics in Korea, precipitation characteristics according to latitude, and the phenomenon estimated by the mountain effect. The first CSEOF was characterized by precipitation in summer and winter in Korea, the second CSEOF was characterized by latitude and local precipitation, and the third CSEOF was characterized by varied and complex variation in precipitation.
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