WAVE HEIGHT AND PERIOD DISTRIBUTIONS FROM LONG-TERM WAVE MEASUREMENT

Chung-Chu Teng, Ian M. Palao

Abstract


Both the univariate and joint distributions of the significant wave height (Hs) and the zero-crossing wave period (Tz) are studied using 16 years of hourly wave data measured from five National Data Buoy Center (NDBC) buoy stations. For the univariate distribution, the log-normal distribution fits both the Hs and the Tz well. The modified log-normal distribution proposed by Fang and Hogben (1982) does improve the fit at the high Hs end and at the peak for some stations. For Hs, the Weibull distribution, with parameters computed from the maximum likelihood (ML) method, fits the upper tail of the cumulative distribution; however, it underpredicts both the probability peak and the probability density at the high end. For the joint distribution, the marginal Weibull/conditional log-normal distribution best describes the measured data of the steeper sea states and has the best overall fit.

Keywords


height distribution; period distribution; wave measurements

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