Abstract
Extreme rainfall by typhoons can cause floods and landslide disasters, and bring down serious damage to the society. However, typhoon track data is multivariate data which consists of genesis position, route, termination position and so on, so it is difficult to understand the relationship between extreme rainfall and characteristics of typhoon tracks. In this study, the typhoons which were observed in the Northwest Pacific from 1951 to 2014 were classified into 20 track patterns (nodes) by using self-organizing maps which is suitable for pattern extraction. Then, in the 10 observation points which were selected from each region in Japan, the rate of precipitation caused by typhoons of each node was calculated. In addition, top 3 events of daily precipitation were extracted, and the factors of extreme rainfall such as nodes of typhoons and fronts were examined. As a result, it is found that the relationship between extreme rainfall and typhoon track patterns are different depending on the observation point like the combination of the particular node and front or only front.
