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http://dx.doi.org/10.5351/KJAS.2014.27.4.655

Threshold Modelling of Spatial Extremes - Summer Rainfall of Korea  

Hwang, Seungyong (Department of Statistics, Chonbuk National University)
Choi, Hyemi (Department of Statistics, Chonbuk National University)
Publication Information
The Korean Journal of Applied Statistics / v.27, no.4, 2014 , pp. 655-665 More about this Journal
Abstract
An adequate understanding and response to natural hazards such as heat wave, heavy rainfall and severe drought is required. We apply extreme value theory to analyze these abnormal weather phenomena. It is common for extremes in climatic data to be nonstationary in space and time. In this paper, we analyze summer rainfall data in South Korea using exceedance values over thresholds estimated by quantile regression with location information and time as covariates. We group weather stations in South Korea into 5 clusters and t extreme value models to threshold exceedances for each cluster under the assumption of independence in space and time as well as estimates of uncertainty for spatial dependence as proposed in Northrop and Jonathan (2011).
Keywords
Extreme value modeling; quantile regression; exceedance over threshold;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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