This study aimed to examine the applicability of Self-organizing Map(SOM) method for synoptic climatology studies over the Republic of Korea through a case study on classification of winter atmospheric pressure patterns. When SOM was conducted using spatial range 10~70°N, 80~180°E, 4×3 map size, linear initialization, batch training algorithm and neighborhood function ep(Epanechnikov function) for the case study, classified atmospheric pressure patterns showed the best result. The classified atmospheric patterns were similar to surface weather charts of Korea Meteorological Administration(KMA). Also all input vectors were classified into one atmospheric pressure pattern(node) so it is possible to analyse time series and characteristics of climatic elements according to atmospheric pressure patterns. Therefore, SOM method might be appropriate for the studies on synoptic climatology over the Republic of Korea.

Abstract
1. 서론
2. 연구자료 및 방법론
3. 자기조직화지도 기법의 적용
4. 요약 및 결론
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