Ocean Wave Measurement and Analysis (2001) 2002
DOI: 10.1061/40604(273)43
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Theory of Significant Wave Period Based on Spectral Integrals

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“…(26) to (30) show that there exist significant linear relationships (R 2 N 0.92) between the two peak wave period statistics. During winter, the deviations between T pðH 1 3 Þ and T p are significant as observed by Kitano et al (2002) as the spectral asymmetry will be remarkable. The highest and least disagreements between the computed T pðH 1 3 Þ and T p are respectively 3.0 s in winter and 1.2 s in summer.…”
Section: Resultsmentioning
confidence: 87%
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“…(26) to (30) show that there exist significant linear relationships (R 2 N 0.92) between the two peak wave period statistics. During winter, the deviations between T pðH 1 3 Þ and T p are significant as observed by Kitano et al (2002) as the spectral asymmetry will be remarkable. The highest and least disagreements between the computed T pðH 1 3 Þ and T p are respectively 3.0 s in winter and 1.2 s in summer.…”
Section: Resultsmentioning
confidence: 87%
“…Empirical relationship between mean period of one-third the highest wave heights T pðH 1 3 Þ and T pð 1 3 Þ is well established. The empirical ratio Ts T of 1.2 (Kitano et al, 2002) or 0.9-1.4 (Goda and Nagai, 1974;Goda, 2010) is fairly captured by both computed and estimated Landwehr et al (1979), and McMahon and Srikanthan (1982) explored the influence of serial dependence on at-site frequency analysis and observed that they caused irrelevant bias in quantile appraisals. Hosking and Wallis (1997) reasoned that a small amount of serial dependence in annual data series has little impact on the quality of quantile estimates.…”
Section: Introductionmentioning
confidence: 98%
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