STATISTICAL ESTIMATION OF WAVE CLIMATES IN A MONSOON REGION

Akira Kimura, Takao Ota

Abstract


This paper deals with a statistics of wave climate. NOWPHAS data from 7 observatories along the Sea of Japan coast are investigated. Fourier spectrum of one year time series of significant wave height H_(1⁄3) shows inherent characteristic to the monsoon region. It can be divided into three frequency regions; (A) f<0.006 d^(-1), (B) 0.006<f<0.2 d^(-1) and (C) 0.2d^(-1)<f where d^(-1)=1⁄day. Simple but appropriate spectrum modeling for the individual regions is proposed in this study. It is possible to make Monte-Carlo simulations of wave climates applying the model very easily. All statistical properties can be calculated from the simulated data. No formulation for the frequency distribution of wave properties such as annual maximum wave height is necessary. Some useful applications of the present study are shown in the last.

Keywords


wave climate; spectrum of a time series of H_(1⁄3); simulation of wave statistics; Monte-Carlo method

References


Goda, Y. 2000. Random seas and design of maritime structures. World Scientific, Advanced Series on Ocean Engineering-Vol. 15, 443p.

Hirose, S., and T. Takahashi . 1982. Appearance characteristics of observed coastal waves. Lecture Collection of the Port and Harbour Research Institute.


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