中文摘要：

在窄带线性波理论假设下，瑞利分布的概率分布和某些特征波高度之间的统计关系，得到了广泛的应用于实际的风波的处理。然而，波频率的带宽影响的概率分布的波峰。在本文中，一个波的频谱宽度B参数引入JONSWAP谱。这有利于建设一个风波频谱和重建的风波时间序列的各个生长阶段，根据概率密度分布的风波的高度进行了研究统计。分布曲线稍微偏离理论瑞利分布随着这波高度超过一定值的概率比B≥0.3理论值较小的明确，以及它们之间的差异随阈值。HS /σ比和B之间的关系进行了调查统计，结果显示HS /σ比偏离4.005，当B达到0.698下降1，HS /σ比率为3.825，这是其原始值的约95.5%。这表明在一个潜在的方法高估严重海况下提高HS非常大的波的准确性。HS HS = 4.005σ预测，并提供了遥感反演算法，

英文摘要：

The probability distribution of wave heights under the assumption of narrowband linear wave theory follows the Rayleigh distribution and the statistical relationships between some characteristic wave heights, derived from this distribution, are widely used for the treatment of realistic wind waves. However, the bandwidth of wave frequency influences the probability distribution of wave heights. In this paper, a wave-spectrum-width parameter B was introduced into the JONSWAP spectrum. This facilitated the construction of a wind-wave spectrum and the reconstruction of wind-wave time series for various growth stages, based on which the probability density distributions of the wind-wave heights were studied statistically. The distribution curves deviated slightly from the theoretical Rayleigh distribution with increasing B. The probability that a wave height exceeded a certain value was clearly smaller than the theoretical value for B≥0.3, and the difference between them increased with the threshold value. The relation between the Hs/σ ratio and B was investigated statistically, which revealed that the Hs/σ ratio deviated from 4.005 and declined with B. When B reached 0.698 1, the Hs/σ ratio was 3.825, which is about 95.5% of its original value. This indicates an overestimation in the a potential method for improving the accuracy of the Hs extremely large waves under severe sea states. prediction of Hs from Hs=4.005σ, and provides remote sensing retrieval algorithm, critical for