海洋要素计算上机实验课是海洋科学专业本科生的一门专业必修实践课,针对该课程缺乏实验指导书的现状,对实验指导书的编写进行了研究.分析了指导书编写的必要性,并结合课程教学大纲要求,立足学生学习需求,重点阐述了指导书的编写构思,根据实践教学经验,从指导书的编写原则、框架内容设置及实验项目编排等方面进行了探讨,最后对新编指导书的应用情况及效果进行了简要论述.

海洋大气数值模拟实验室承担着海洋与大气学院所有数值计算类的实验实践课程,并在课后实行全天候开放,实验室课程任务繁重,人流量大,管理维护难度大,急需一套好的管理技术方法的支撑.通过对目前比较先进的桌面虚拟化管理和无盘工作站网络化管理的调研、对比,选择对无盘工作站网络化管理模式进行了研究,它是基于无盘系统的一种管理模式,其系统搭建及管理方式均比较适合该实验室的应用和管理.针对实验室的使用和管理特点,依托无盘系统技术,对实验室进行了无盘系统管理模式的个性化搭建.新的管理模式在实验室管理中有着良好的表现,大大减轻了机房维护的压力,提高了机房的工作效率.

文章通过对海洋学实验教学中心(下文简称"中心")信息化建设现状及存在问题的分析,对中心网络信息化建设可持续发展进行了研究;探索中心信息化建设可持续发展的实施办法,重点阐述了信息化建设管理机制、 信息平台建设维护和开放管理系统建设等方面的建设实施方案及其在中心信息化可持续发展中的重要性.信息化建设是一个依赖信息技术发展的动态过程,在未来的建设道路上要及时补充新技术、新知识,不断进行完善,为实验实践教学的改革创新提供更好的保障条件.

When investigating the long-term variation of wave characteristics as associated with storm surges in the Bohai Sea, the Simulating Waves Nearshore (SWAN) model and ADvanced CIRCulation (ADCIRC) model were coupled to simulate 32 storm surges between 1985 and 2014. This simulation was validated by reproducing three actual wave processes, showing that the simulated significant wave height (SWH) and mean wave period agreed well with the actual measurements. In addition, the long-term variations in SWH, patterns in SWH extremes along the Bohai Sea coast, the 100-year return period SWH extreme distribution, and waves conditional probability distribution were calculated and analyzed. We find that the trend of SWH extremes in most of the coastal stations was negative, among which the largest trend was −0.03 m/a in the western part of Liaodong Bay. From the 100-year return period of the SWH distribution calculated in the Gumbel method, we find that the SWH extremes associated with storm surges decreased gradually from the center of the Bohai Sea to the coast. In addition, the joint probability of wave and surge for the entire Bohai Sea in 100-year return period was determined by the Gumbel logistic method. We therefore, assuming a minimum surge of one meter across the entire Bohai Sea, obtained the spatial SWH distribution. The conclusions of this study are significant for offshore and coastal engineering design.

The reasonable storm surge risk assessment is always limited by the number of the historical Tropical Cy‐clone (TC) samples .In this paper the influence of the data set length to the storm surge risk assessment result is studied in Lianjiang County of Fujian Province ,which is based on the historical TC observations (1949-2010) and stochastic TC events (1 000 a) .The two datasets were applied to force the ADCIRC model to simulate storm sur‐ges ,which is used to determine the surge heights of typical return periods with the method of extreme value type I . The experiment result indicates that the surge heights of typical return periods have a close correlation with data sets length ,i .e .,the longer the data sets length ,the more stable of the results .As for the surge heights of 1 000 years return period ,the results from 500 a length data sets can give a rather stable result ,which is close to the re‐sults generated from the 1 000 a length data set .When carrying out storm surges hazards analysis ,the results are more reasonable by using TC stochastic events in 1 000 years than those from historical TC events in decades of years .

A numerical storm surge model is parallelized using Message Passing Interface(MPI). A new parallel algorithm for solving traditional linear equations with high efficiency and simplicity is introduced. Load balance should be primarily considered during optimization of a parallel program. The computation load is perfectly balanced by reasonable decomposition of simulated region according to the amount of water grids, and results in a significant performance enhancement. The acceleration rate on SMP platforms using 8 CPUs can reach to 7.0, and 6.5 on cluster platforms.

The design of parallel programs differs from sequential programs essentially in its conception and approach,and is quite difficult to develop.Therefore in the paper a universal parallel function library based on MPI was designed to reduce the difficulty of the development of parallel programs.The library encapsulates common functions used in the development of parallel programs,and has certain universality.The library can significantly simplify the development of MPI parallel program.In the paper the library was introduced from the aspects of domain decomposition,transform of array indices and loop variables,data exchange and global reduction,and data I/O.An example that solves Laplace′s equation on a two-dimensional surface with fixed boundaries was introduced to show the way and the steps of translating sequential programs into parallel programs using the parallel library.The parallel library has been successfully applied in the parallelisation of a storm surge numerical model with fairly good effect.

The significant wave height is related to the intensity of the sea clutter,but can not be derived directly from radar images.Applying the method to calculate the significant wave height from the SAR imagery,which supposes the significant wave height in linear relation with the square of the signal-to-noise ratio of radar images,the significant wave height can be estimated from the images of X-band radar.Analyzing the buoy information of shore-based and ship-based experiments separately performed in the Small Mai-island and the North Sea with the radar information together,the result illustrates that the maximal error in determining the significant wave height using the navigation radar is not beyond nine percent.

A 3-D storm surge model was developed which consists of the third generation shal- low water wave model SWAN and the 3-D current model POM and was applied to test for the storm surge of Bohai Sea and Yellow Sea caused by extratropical cyclone 830315.The influ- ence of waves on sea level through sea surface stress,radiation stress and bottom stress was obtained.The study shows that the wave-dependent surface wind stress can more significant- ly improve the storm surge prediction than the wave-induced radiation stress and wave-in- duced bottom stress,but they all can not be neglected.The study further indicates that the results computed by the model considering the influence of waves on storm surges are more in good agreement with the measured data,especially on the water reduced peak surge,the relative errors are not more than 5.57%.