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Evaluation of the impact of typhoon on daily maximum precipitation
Journal of the Korean Data & Information Science Society 2017;28:1415-25
Published online November 30, 2017
© 2017 Korean Data & Information Science Society.

Miyeon Yang1 · Sanghoo Yoon2

1Department of Statistics, Daegu University
2Department of Statistics and Computer Science, Daegu University
Correspondence to: Sanghoo Yoon
Assistant professor, Department of Statistics and Computer Science, Daegu University, Gyeongbuk 68453, Korea. E-mail:
Received September 29, 2017; Revised November 8, 2017; Accepted November 9, 2017.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Typhoons are accompanied by strong wind and heavy rains. It causes casualties and property damage on the Korean peninsula every year. The effect of typhoon to daily precipitation should be quantified to prevent the damage of typhoon. Daily precipitation, maximum wind speed and, mean wind speed data was collected from 60 weather stations between 1976 and 2016. The parameters of the generalized extreme value distribution were estimated through the maximum likelihood estimation and the L-moment estimation. The impact of a typhoon can be obtained through a comparison of return levels between the whole data and typhoon excluded data. We conclude that the eastern and southern coastline are exposed to the risk of heavy rainfall which is caused by typhoon.
Keywords : Generalized extreme value distribution, L-moment, maximum precipitation, MLE, return level