부산대학교 도서관

Areal reduction factors (ARFs) and spatial extreme models are utilized in the analysis of spatial extreme rainfall. ARFs are ratios of the average amount of extreme rainfall in regions to the amount of extreme rainfall at the central point of their regions and are expressed as a function of their region sizes. The spatial extreme model represents the spatial correlation of extreme rainfall as a function of distances between points. The relationship between the two methods was confirmed previously based on the analysis of rain gauge data that were sparsely observed in space. This study reassessed the relationship between the two methods empirically utilizing radar rain gauge data in the Yoneshiro-gawa basin, Akita Prefecture that have high spatial resolution and confirmed that the relationship was not clear. The detailed spatial resolution data revealed that the estimates of extreme rainfall at points differed considerably although their positions were close to each other and the estimates of ARFs were unstable despite the similar spatial correlation structure estimated by spatial extreme model.