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中文摘要：
在 Bohai 海湾的风速度和重要波浪高度的联合概率分发被比较 Gumbel 调查逻辑模型， Gumbel-Hougaard (GH ) 性交功能，和 Clayton 性交工作。二十年从 1989 ～ 2008 的风数据从环境预言(NCEP ) 的美国公民中心从中等范围的天气预报(ECMWF ) 数据库和快 Scatterometer (QSCAT ) 卫星数据集合的混合的风数据和重新分析数据的欧洲中心被收集。几台风被考虑并且从 ECMWF 或 QSCAT/NCEP 数据库与背景风地合并。重要波浪高度的 20 年的数据与在极端风进程条件下面模仿波浪 Nearshore (天鹅) 的第三产生的风波浪模型的未组织格子的版本被计算。Gumbel 分发被用于 univariate 和边缘的分布。分发参数与 L 时刻的方法被估计。基于边缘的分布，联合概率分布，联系回来时期，和有条件的概率分布被获得。GH 性交功能被发现根据平常的最少的广场(OLS ) 最佳测试。结果证明风波浪是在 Bohai 海湾的波浪的占优势的类型。
英文摘要：
The joint probability distribution of wind speed and significant wave height in the Bohai Bay was investigated by comparing the Gurnbel logistic model, the Gumbel-Hougaard （GH） copula function, and the Clayton copula function. Twenty years of wind data from 1989 to 2008 were collected from the European Centre for Medium-Range Weather Forecasts （ECMWF） database and the blended wind data of the Quick Scatterometer （QSCAT） satellite data set and re-analysis data from the United States National Centers for Environmental Prediction （NCEP）. Several typhoons were taken into account and merged with the background wind fields from the ECMWF or QSCAT/NCEP database. The 20-year data of significant wave height were calculated with the unstructured-grid version of the third-generation wind wave model Simulating WAves Nearshore （SWAN） under extreme wind process conditions. The Gumbel distribution was used for univariate and marginal distributions. The distribution parameters were estimated with the method of L-moments. Based on the marginal distributions, the joint probability distributions, the associated return periods, and the conditional probability distributions were obtained. The GH copula function was found to be optimal according to the ordinary least squares （OLS） test. The results show that wind waves are the prevailing type of wave in the Bohai Bay.
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