Extreme significant wave height of tropical cyclone waves in the South China Sea SCIE SCOPUS

Cited 9 time in WEB OF SCIENCE Cited 0 time in Scopus
Title
Extreme significant wave height of tropical cyclone waves in the South China Sea
Author(s)
Shao, Zhuxiao; Liang, Bingchen; Li, Huajun; Li, Ping; Lee, Dongyoung
Alternative Author(s)
이동영
Publication Year
2019-10-01
Abstract
Extreme significant wave heights are assessed in the South China Sea (SCS), as assessments of wave heights are crucial for coastal and offshore engineering. Two significant factors include the initial database and assessment method. The initial database is a basis for assessment, and the assessment method is used to extrapolate appropriate return-significant wave heights during a given period. In this study, a 40-year (1975-2014) hindcast of tropical cyclone waves is used to analyse the extreme significant wave height, employing the peak over threshold (POT) method with the generalized Pareto distribution (GPD) model. The peak exceedances over a sufficiently large value (i.e. threshold) are fitted; thus, the return-significant wave heights are highly dependent on the threshold. To determine a suitable threshold, the sensitivity of return-significant wave heights and the characteristics of tropical cyclone waves are studied. The sample distribution presents a separation that distinguishes the high sample from the low sample, and this separation is within the stable threshold range. Because the variation in return-significant wave heights in this range is generally small and the separation is objectively determined by the track and intensity of the tropical cyclone, the separation is selected as a suitable threshold for extracting the extreme sample in the tropical cyclone wave. The asymptotic tail approximation and estimation uncertainty show that the selection is reasonable.
ISSN
1561-8633
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/38842
DOI
10.5194/nhess-19-2067-2019
Bibliographic Citation
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, v.19, no.10, pp.2067 - 2077, 2019
Publisher
COPERNICUS GESELLSCHAFT MBH
Subject
ENERGY RESOURCE ASSESSMENT; THRESHOLD ESTIMATION; WIND-SPEED; TAIL INDEX; BUOY DATA; CLIMATE; MODEL; TRENDS; VARIABILITY; SELECTION
Type
Article
Language
English
Document Type
Article
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