基于现场和卫星有效波高数据评估WAVEWATCH III的输入/耗散项

基于WAVEWATCH III,在输入相同的风场条件下,评估了三个输入耗散项WAM3,WAM4以及TC96在是否考虑大气稳定性时的模拟能力。通过5组实验,用南海的测波雷达数据以及研究区域内HY-2高度计的有效波高数据对不同源项的模拟结果进行了比较分析,研究区域为100-135°E,0-35°N。对TC96中的风速校正参数进行了敏感性分析。结果表明,这几种源项在涌浪占主导时的模拟效果都不太理想;考虑大气不稳定性的TC96源项模拟的效果最好;大气不稳定性的影响是以一种所谓的“高效风速”的策略来反映的,其中最重要的一个参数为风速转换参数,这个参数非常敏感,在对特定区域进行模拟之前,应先分析出这个参数的最优值。     

三维斜压台风模式 Ⅱ.预报试验

一种斜压多重移动套网格台网模式在国家海洋环境预报中心已被应用于海洋环境预报。本文第一部分已描述了模式方程组和数值方法。本文继续概述模式网格、变分调整初始化和预报试验结果。最外粗网格域固定,内部细网格域随台风中心轨迹移动。模式中,粗细网格变量采用双向耦合。平衡方程和方程,理想台风场和变分调整方案被用于台风模式初始化。一种简单而有效的资料同化方法,即用第6h台风报和弱约束变分原理调整初始场,被应用于提高预报结果。最后本文给出预报试验结果。预报误差统计显示本模式对台风路径预报具有相当能力,而且可以提供海面风和气压场较好的预报。本模式已经与海浪模式联结,得到满意的波高预报结果。     

Numerical study of sea waves created by tropical cyclone Jelawat

A numerical study of sea waves generated by tropical cyclone Jelawat is carried out using the cycle 4 version of the WAM.The model domain currently covers the latitudes 20-45 N and longitudes 115-135 E,and the model spatial resolution reaches 0.25 ×0.25.Comparison of the model results with buoy observations reveals that the model can fairly reproduce the temporal variation of observed waves.Two-dimensional comparison is also made against the satellite altimeter significant wave heights derived from TOPEX/PO...     

两类典型台风路径影响下的黄、渤海海浪场特征研究

台风引起的海浪灾害对我国黄、渤海沿岸影响巨大,严重威胁相关区域人民群众生命财产安全.本文主要利用ERA5(the fifth generation European Center for Medium-Range Weather forecasts atmospheric reanalysis of the globa...     

Simulation of the extreme waves generated by typhoon Bolaven (1215) in the East China Sea and Yellow Sea

Record-breaking high waves occurred during the passage of the typhoon Bolaven (1215) (TYB) in the East China Sea (ECS) and Yellow Sea (YS) although its intensity did not reach the level of a super typhoon. Winds and directional wave measurements were made using a range of in-situ instruments mounted on an ocean tower and buoys. In order to understand how such high waves with long duration occurred, analyses have been made through measurement and numerical simulations. TYB winds were generated using the TC96 typhoon wind model with the best track data calibrated with the measurements. And then the wind fields were blended with the reanalyzed synoptic-scale wind fields for a wave model. Wave fields were simulated using WAM4.5 with adjustment of C_d for gust of winds and bottom friction for the study area. Thus the accuracy of simulations is considerably enhanced, and the computed results are also in better agreement with measured data than before. It is found that the extremely high waves evolved as a result of the superposition of distant large swells and high wind seas generated by strong winds from the front/right quadrant of the typhoon track. As the typhoon moved at a speed a little slower than the dominant wave group velocity in a consistent direction for two days, the wave growth was significantly enhanced by strong wind input in an extended fetch and non-linear interaction.     

长江口附近海域台风浪的数值模拟--以鹿沙台风和森拉克台风为例

利用SWAN波浪模型计算长江口附近海域的台风浪,鉴于长江河口岸界和地形复杂,拟采用曲线网格.为证实曲线网格下的SWAN模型对于复杂地形的有效性,首先选用美国特拉华大学波浪水池实验资料对SWAN模型进行检验,结果表明利用曲线网格能不过多增加计算量而提高关键区域的计算精度.以0215号鹿沙台风和0216号森拉克台风为例,将SWAN模型应用到长江口附近海域,进行台风浪的数值模拟.通过浮标测站实测资料验证,表明有效波高计算值与实测值符合良好.通过综合分析模型计算的波浪场,说明SWAN模型能合理地反映长江口附近海域台风浪的分布.     

台风Maggie(9903)的数值预报试验

台风Maggie(9903)的移动路径属于历史上罕见的疑难路径之一,在1999年6月6日0时(UTC,下同),台风位于22.3°N,119.8°E附近,它向西北方向移动,于6月6日12时抵达广东汕尾附近海面,然后沿海岸线折向西南行,于6月7日下午到达阳江附近海面,经历一次360°的打转后再折向北行在阳江登陆,澳门地球物理暨气象局以MM5为基础的台风数值预报试验系统在6月6日0时相当准确地报出Maggie的未来48h移动路径和降水,敏感性试验说明,华南大陆的海岸线走向和地形对Maggie的移动路径无明显的影响,它之所以沿海岸线折向西南行应是其环境场改变的结果,把华南陆地变为海洋后,Maggie在向西南移动过程中继续发展,这说明,当台风接近陆地或登陆后,陆面摩擦和下垫面水气供应的减少是引起台风减弱的主要因子。     

基于Holland台风模型及三重嵌套海浪模式的台风浪数值模拟研究

现有的风场资料存在台风中心附近风速偏低的问题。为改进台风期间风场数据, 使用Holland经验台风模型结合多平台交叉校准数据(cross-calibrated multi-platform, CCMP)及欧洲中期天气预报中心的再分析数据(European Centre for Medium-range Weather Forecasts Reanalysis data, ERA5)风场资料, 研究了不同台风最大风速半径(maximum wind radius of the typhoon, RMW)、Holland B参数对模拟效果的影响, 确定了最优模拟参数, 并以改进后的风场驱动三重嵌套海浪模型对台风“威马逊”发生期间的台风浪进行模拟。模拟结果与实测数据对比表明, (1)改进的风场资料与实测结果更为接近, 作为海浪模式驱动项可更好地模拟台风期间波浪状况; (2)三重嵌套海浪模型的波浪模拟效果优于单独的海浪模型。     

多源卫星高度计海浪资料在中国近海的验证及应用

Studies of offshore wave climate based on satellite altimeter significant wave height(SWH) have widespread application value. This study used a calibrated multi-altimeter SWH dataset to investigate the wave climate characteristics in the offshore areas of China. First, the SWH measurements from 28 buoys located in China's coastal seas were compared with an Ifremer calibrated altimeter SWH dataset. Although the altimeter dataset tended to slightly overestimate SWH, it was in good agreement with the in situ data in general. The correlation coefficient was 0.97 and the root-mean-square(RMS) of differences was 0.30 m. The validation results showed a slight difference in different areas. The correlation coefficient was the maximum(0.97) and the RMS difference was the minimum(0.28 m) in the area from the East China Sea to the north of the South China Sea.The correlation coefficient of approximately 0.95 was relatively low in the seas off the Changjiang(Yangtze River) Estuary. The RMS difference was the maximum(0.32 m) in the seas off the Changjiang Estuary and was0.30 m in the Bohai Sea and the Yellow Sea. Based on the above evidence, it is confirmed that the multialtimeter wave data are reliable in China's offshore areas. Then, the characteristics of the wave field, including the frequency of huge waves and the multi-year return SWH in China's offshore seas were analyzed using the23-year altimeter wave dataset. The 23-year mean SWH generally ranged from 0.6–2.2 m. The greatest SWH appeared in the southeast of the China East Sea, the Taiwan Strait and the northeast of the South China Sea.Obvious seasonal variation of SWH was found in most areas; SWH was greater in winter and autumn than in summer and spring. Extreme waves greater than 4 m in height mainly occurred in the following areas: the southeast of the East China Sea, the south of the Ryukyu Islands, the east of Taiwan-Luzon Island, and the Dongsha Islands extending to the Zhongsha Islands, and the frequency of extreme waves was 3%–6%. Extreme waves occurred most frequently in autumn and rarely in spring. The 100-year return wave height was greatest from the northwest Pacific seas extending to southeast of the Ryukyu Islands(9–12 m), and the northeast of the South China Sea and the East China Sea had the second largest wave heights(7–11 m). For inshore areas, the100-year return wave height was the greatest in the waters off the east coast of Guangdong Province and the south coast of Zhejiang Province(7–8 m), whereas it was at a minimum in the area from the Changjiang Estuary to the Bohai Sea(4–6 m). An investigation of sampling effects indicates that when using the 1°×1°grid dataset, although the combination of nine altimeters obviously enhanced the time and space coverage of sampling, the accuracy of statistical results, particularly extreme values obtained from the dataset, still suffered from undersampling problems because the time sampling percent in each 1°×1°grid cell was always less than33%.     

An extended verification technique for solving problems of numerical modeling of wind waves

Based on different modifications of the source function in the WAM(C4) wind-wave model, a large series of verification calculations aimed at increasing the quality of the numerical model (with respect to the parameters of accuracy and performance) is performed. We propose a methodology allowing us to solve the following fundamental and practical problems of numerical modeling: (1) determining the minimum interval of verification of numerical wind-wave models, (2) finding a criterion for choosing the best model out of all models subjected to verification, and (3) formulating the accuracy requirement for specifying the input field necessary for the given accuracy of wind-wave field calculations. Particularly, we have found that (a) the minimum term of verification calculations for numerical wind-wave models is three months; (b) according to our criterion, the proposed modification of the WAM model impartially is “essentially preferable” to the original model; and (c) the relative errors (yielded by the proposed version of the WAM model) in the calculated wave heights ρH _s and average periods ρT _m for different levels of the relative error of the input wind-wave field ρW make it possible to solve the third problem mentioned above.     

波流耦合作用下渤海及北黄海风暴潮增水及海浪过程的数值模拟

本文基于三维波流耦合FVCOM-SWAVE数值模式,采用Jelesnianski参数化风场与再分析数据集ECMWF风场数据叠加而成的合成风场作为外力驱动力,模拟了1818号"温比亚"台风引起北黄海及渤海海域风暴潮增减水及波浪的生长与消减过程,进而分析该海域在"温比亚"台风作用下波浪对流速垂向分布的影响。研究结果表明:合成风场得到的风速最大值及出现时刻与实测数据符合较好,合成风场较为合理,能够为模拟波流耦合机制下海域水动力变化提供准确的风场条件;几个测站的风暴潮增水模拟结果与实测数据较为吻合,FVCOM-SWAVE耦合系统合理地再现了"温比亚"台风在黄渤海引发的风暴潮增水以及台风浪过程。此外,计算结果显示"温比亚"期间黄渤海海域最大有效波高分布于台风中心外围,且位于台风前进方向上,波浪最大有效波高值与台风强度有关;在台风过境期间,波流相互作用对近岸海域流速的垂向分布具有一定影响,考虑波流相互作用可有效提高台风风暴潮数值模拟精度。研究结果对台风灾害预报、防灾减灾及港口建筑选址具有一定的参考意义。     

基于WRF-SWAN耦合模式的台风“威马逊”波浪场数值模拟

获取高分辨率的风场数据和气压场数据是精确模拟台风浪的基础,采用经验公式构建台风风场和气压场对海浪模式进行驱动,无法反映台风影响下海气动力过程,难以提供高精度的风场、气压场数据。本文基于中尺度大气模式WRF(Weather Research and Forecasting model)和第三代海浪模式SWAN(Simulating WAves Nearshore model),构建了南中国海地区大气—海浪实时双向耦合模式,针对超强台风"威马逊"进行数值模拟。将数值模拟结果与现场观测结果及卫星高度计观测结果进行对比验证,验证结果表明,本文建立的WRF-SWAN耦合模式在对台风"威马逊"影响下的南中国海台风浪的模拟中展现出较高的模拟精度,揭示了台风风场分布和台风浪分布在空间上的"右偏性"不对称分布特征及其形成机制。基于WRF和SWAN建立的大气-海浪实时双向耦合模式能够准确模拟台风动力过程以及台风浪的时空分布特征,可以推广用于南中国海地区台风浪的模拟分析。     

华南沿岸浅水台风风浪频谱的初步探讨

在深水海浪向近岸浅水区传播的过程中,由于变浅作用,海浪的频谱发生了相应的变化。文章以华南沿岸实测浅水台风风浪资料为基础,通过分析比较深水风浪频谱与实测台风风浪频谱的不同,并对实测资料进行统计处理,得出适用于华南沿岸浅水台风风浪的频谱。文章还将该频谱与已有的两种深水风浪频谱和Basinski－Massel浅水风浪频谱进行了比较。     

Estimation of mean and extreme waves in the East China Seas

Accurately estimating the mean and extreme wave statistics and better understanding their directional and seasonal variations are of great importance in the planning and designing of ocean and coastal engineering works. Due to the lack of long-term wave measurement data, the analysis of extreme waves is often based on the numerical wave hind-casting results. In this study, the wave climate in the East China Seas (including the Bohai Sea, the Yellow Sea and the East China Sea) for the past 35 years (1979–2013) is hind-casted using a third generation wave model – WAMC4 (Cycle 4 version of WAM model). Two sets of reanalysis wind data from NCEP (National Centers for Environmental Prediction, USA) and ECMWF (European Centre for Medium-range Weather Forecasts) are used to drive the wave model to generate the long-term wave climate. The hind-casted waves are then analysed to study the mean and extreme wave statistics in the study area. The results show that the mean wave heights decrease from south to north and from sea to land in general. The extreme wave heights with return periods of 50 and 100 years in the summer and autumn seasons are significantly higher than those in the other two seasons, mainly due to the effect of typhoon events. The mean wave heights in the winter season have the highest values, mainly due to the effect of winter monsoon winds. The comparison of extreme wave statistics from both wind fields with the field measurements at several nearshore wave observation stations shows that the extreme waves generated by the ECMWF winds are better than those generated by the NCEP winds. The comparison also shows the extreme waves in deep waters are better reproduced than those in shallow waters, which is partly attributed to the limitations of the wave model used. The results presented in this paper provide useful insight into the wave climate in the area of the East China Seas, as well as the effect of wind data resolution on the simulation of long-term waves.     

南海及邻近海域大气-海浪-海洋耦合精细化数值预报系统研制

本文主要介绍了南海及邻近海域大气-海浪-海洋耦合精细化数值预报系统的研制概况。预报区域为99°E~135°E,15°S~45°N,包括渤海、黄海、东海和南海及其周边海域。为了给耦合预报模式提供较准确的预报初始场,在预报开始之前,分别进行了海浪模式和海洋模式的前24小时同化后报模拟。海浪模式和海洋模式都采用了集合调整Kalman滤波同化方法,海浪模式同化了Jason-2有效波高数据;海洋模式同化了SST数据、MADT数据和ARGO剖面数据。为了改进海洋温度和盐度的模拟,我们在海洋模式的垂向混合方案中引入波致混合和内波致混合的作用。预报系统的运行主要包括两个阶段,首先海浪模式和海洋模式进行了2014年1月至2015年10月底的同化后报模拟,强迫场源自欧洲气象中心的六小时的再分析数据产品。然后耦合预报系统将同化后报模拟的结果作为初始场进行了14个月的耦合预报。预报产品包括大气产品（气温、风速风向、气压等）、海浪产品（有效波高和波向等）、海流产品（温度、盐度和海流等）。一系列观测资料的检验比较表明该大气-海浪-海洋耦合精细化数值预报系统的预报结果较为可靠,可以为南海及周边海洋资源开发和安全保障提供数据和信息产品服务。     

台风浪模拟预报中的风场比较研究

在对模拟台风浪时海浪模式常用的经验模型风场和多重嵌套中尺度气象数值模式风场的结构和时间演变特征进行对比分析的基础上,分别采用这两种风场资料,应用最新版本的第三代海浪模式SWAN对Winnie(1997)引起的台风浪进行了模拟,将模拟的有效波高与TOPEX/POSEIDON和ERS-2卫星高度计资料作了详细的对比分析。结果表明,经验模型风场对实际台风风场的刻画存在诸多缺陷,这些缺陷对于台风浪的准确模拟产生了不可忽视的影响,采用模式风场试验的模拟效果优于采用模型风场的试验。论文提出了在运用海浪模式模拟台风浪时用数值模式模拟风场替代经验模型风场的必要性。     

两种网格下的SWAN模式对黄渤海海浪模拟比较

采用NCEP再分析风场作为驱动海浪模式的强迫场,在考虑相同物理过程和分辨率基础上,SWAN海浪模式分别采用矩形网格和非结构三角网格对2000年12月黄渤海海域波浪场进行模拟,并将模拟的有效波高与海洋浮标观测数据作对比分析,结果表明,SWAN模式运用两种网格均能够取得良好的模拟结果,相对矩形网格,非结构三角网格模拟有效波...     

基于SWAN模型的南中国海“莫拉菲”台风浪研究

我国的水运工程建设频繁受到台风浪的侵袭。为了对台风浪的防灾减灾提供有益帮助,本文基于第三代海浪模式SWAN建立了南中国海台风浪数值模型,并以“0906”号台风“莫拉菲”为例对模拟结果进行了分析。结果表明,台风风场与波浪场相似,即大小均由中心向外围递减,方向均为逆时针旋转;台风风场呈圆对称分布,而波浪场由于受到海底地形与岸线影响,呈现椭圆对称分布。有效波高等值线亦从中心向外围递减,且形状受地形与岸线影响较大。对台风浪组成机制的探讨结果显示风浪和涌浪均可组成台风浪,且海底地形与岸线(例如岛屿效应)亦对台风浪特性有所影响。     

西太平洋暖池1990s中期的年代际扩张对夏季登陆中国台风的影响

应用美国联合预警中心(Joint Typhoon Warning Center,JTWC)的台风最佳路径资料、美国国家海洋大气局(National Oceanic and Atmospheric Administration,NOAA)的扩展海表面温度资料以及美国国家环境预报中心(National Centers for Environmental Prediction,NCEP)和美国国家大气科学研究中心(National Center for Atmospheric Research,NCAR)的大气环流场资料,研究了20世纪90年代西太平洋暖池(简称暖池)年代际扩张对西北太平洋台风和登陆中国沿岸台风的影响。研究发现,相比于暖池扩张前期(1965—1992),后期(1993—2013)台风生成在西北太平洋中部区域(10°—20°N,135°—145°E)显著减弱,在10°—20°N,145°—160°E区域和南海北部区域则表现出增多的特点。台风移动路径变异特征呈现为移动进入南海和登陆中国东部沿岸的西行和西北行路径减少,登陆日本的转向型路径增多,同时登陆我国海南岛和东南部沿岸的台风增多。进一步探查这种影响的可能原因发现,与暖池扩张密切相关的太平洋年代际变化引起的纬向环流的变异是西北太平洋中部台风生成减少的主要原因;而南海北部台风生成增多则归因于南海区域局地环流特征的变异。同时,南海北部台风生成增多是登陆我国海南岛和东南沿岸台风增多的主要决定因素。     

台湾岛邻近海域台风浪的模拟研究

基于目前国际上较为先进的第三代近岸海浪数值模式SWAN（Simulation Waves Near-shore)。在充分考虑相关物理过程（风生浪，底摩擦，白帽耗散，深度诱导波破碎，非线性波－波相互作用）基础上，以较高的分辨率对影响台湾岛邻近海域的9015号台风浪过程进行了模拟研究。模式所需风场由藤田台风风场模型同化相应台风资料后提供；用自嵌套方式提供模式波谱边界条件。模拟结果与实际台风浪资料相符较好。台风过程模拟结果表明；台风中心位于台湾岛邻近海域的不同位置，台风浪有效波高的分布特征和传播方向都有着较大的差异。可以为整个台湾岛邻近海域台风浪分布特征的了解与认识提供较好的参考。