Extreme Value Analysis of Metocean Data for Barents Sea

An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures. The purpose of this study was to provide information about the return wave, wind, and current values for the Barents Sea using extreme value...

Full description

Bibliographic Details
Published in:Journal of Ocean Engineering and Technology
Main Authors: Sung Boo Park, Seong Yun Shin, Da Gyun Shin, Kwang Hyo Jung, Yong Ho Choi, Jaeyong Lee, Seung Jae Lee
Format: Article in Journal/Newspaper
Language:English
Published: The Korean Society of Ocean Engineers 2020
Subjects:
xtreme value analysis
metocean data
significant wave height
spectral peak wave period
i-form
gumbel distribution
weibull distribution
Ocean engineering
TC1501-1800
Barents Sea
Online Access:https://doi.org/10.26748/KSOE.2019.094
https://doaj.org/article/c6f54437a4c348ebaa707813f057977a
Description
Summary:An extreme value analysis of metocean data which include wave, wind, and current data is a prerequisite for the operation and survival of offshore structures. The purpose of this study was to provide information about the return wave, wind, and current values for the Barents Sea using extreme value analysis. Hindcast datasets of the Global Reanalysis of Ocean Waves 2012 (GROW2012) for a waves, winds and currents were obtained from the Oceanweather Inc. The Gumbel distribution, 2 and 3 parameters Weibull distributions and log-normal distribution were used for the extreme value analysis. The least square method was used to estimate the parameters for the extreme value distribution. The return values, including the significant wave height, spectral peak wave period, wind speed and current speed at surface, were calculated and it will be utilized to design offshore structures to be operated in the Barents Sea.

Similar Items