Extreme Value Analysis of Metocean Data for Barents Sea

• Published in: Han-guk haeyang gonghak hoeji (Online) Vol. 34; no. 1; pp. 26 - 36
• Main Authors: Park, Sung Boo, Shin, Seong Yun, Shin, Da Gyun, Jung, Kwang Hyo, Choi, Yong Ho, Lee, Jaeyong, Lee, Seung Jae
• Format: Journal Article
• Language: English
• Published: 한국해양공학회 01.02.2020; The Korean Society of Ocean Engineers
• Subjects: gumbel distribution; i-form; metocean data; significant wave height; spectral peak wave period; weibull distribution; xtreme value analysis; 해양공학; Extreme value analysis; Metocean data; Significant wave height; Log-normal distribution; I-FORM; Spectral peak wave period; Gumbel distribution; Weibull distribution
• ISSN: 1225-0767; 2287-6715
• DOI: 10.26748/ksoe.2019.094

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.