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WAVEWATCH和SWAN嵌套模拟台风浪场的结果分析 总被引：1，自引：0，他引：1
利用WAVEWATCH和SWAN嵌套模拟2007年8月墨西哥湾飓风迪安的波浪场.将QSCAT/NCEP混合风场与台风模型风场合成为背景风场.修改WAVEWATCH和SWAN嵌套接口以使WAVEWATCH和SWAN2种海浪预报模式能够有效地嵌套运行.利用WAVEWATCH和SWAN嵌套模拟飓风迪安的波浪场,采用浮标资料检验模拟结果,以验证WAVEWATCH和SWAN模拟的准确性及修改后嵌套接口的可用性.结果表明,修改嵌套接口之后模式运行平稳,2种模式的结果与浮标及高度计观测数据均基本吻合.嵌套模拟结果好于单纯使用WAVEWATCH模拟的结果,体现了利用2种模式嵌套模拟台风浪场的科学性. 相似文献
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根据钓鱼岛海域海监巡航执法保障预报、重点海洋安全保障目标精细化预报等海浪业务化预报工作的新需求,基于
WRF 海面风场预报模型,利用结构网格海浪模型WaveWatch 芋和非结构网格海浪模型SWAN （Simulating Waves Nearshore）
的嵌套计算,建立一套适用于东海区和上海近海的海浪数值预报系统。通过不同数值实验,证明此系统的稳定性和时效性。
利用观测数据对连续2 个月的有效波高值的预报结果进行检验,结果表明：24小时预报平均绝对误差在0.3 m以下;48 小时
预报平均绝对误差在0.5 m以下;72 小时预报平均绝对误差在0.7 m以下,且误差极值主要是由台风过程引起,但预报趋势
仍值得参考。对2次台风过程采用不同风场源数据进行对比试验,结果显示采用实况路径的后报风场,海浪预报精度明显改
善。对于近岸区域采用嵌套计算的SWAN模型预报结果比WaveWatch III 模型预报结果精度显著提高,证明建立的海浪数值
预报系统在满足“稳定性”和“时效性”的基础上,各尺度和分辨率的预报产品“准确性”也能得到保证。 相似文献
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基于第三代海浪模式WaveWatchⅢ和Swan,采用四重网格嵌套建立了黄海、南海近海海浪的高精度数值预报系统,以及青岛第一海水浴场、广西北海银滩浴场、海南三亚亚龙湾海水浴场3个示范区近岸定点海浪的精细化数值预报系统。通过后报和预报试验对所建立的数值预报系统进行了系统的检验,后报波高与实测值吻合较好。准业务化预报试验表明有效波高的预报精度随预报时效的增加而降低,近海海浪大于2 m的平均预报相对误差小于30%。浴场海浪的平均预报绝对误差为0.35 m左右。预报精度可以满足业务化预报的要求。 相似文献
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验证了QSCAT/NCEP混合风场,并将其作为SWAN模式的驱动风场。以南黄海海域作为目标区域,对SWAN模式在陆架浅水区有效波高的模拟能力进行了研究。研究表明,默认参数下SWAN模式计算的有效波高较JASON-1卫星高度计数据偏小,最大偏差达0.6 m。通过对SWAN模式中各物理过程的分析,确定模式计算值偏小的原因是白浪耗散过大。采用参数修正法对白浪耗散项进行改进,将SWAN模式计算有效波高的均方根误差降低到0.16 m以下,相关系数提高到0.85以上。选择2002年中具有代表性的4个月对改进后SWAN模式进行验证,结果显示SWAN模式在研究区域具有良好的稳定性和适用性。 相似文献
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以QSCAT/NCEP混合风资料和Myers经验模型风场构造台风风场,并以之作为驱动风场,建立一个基于第三代海浪模式SWAN的两重嵌套台风浪数值模拟模型。以0601号台风珍珠为例,对南中国海至广东的台风浪进行数值模拟研究。将数值模拟结果与台风期间Jason-1卫星高度计观测资料和近岸浮标实测资料(波高、波向和波周期)作了较为详细地比较,并分析台风浪要素的时空分布。结果显示台风浪要素的数值模拟值与实测值吻合良好,表明SWAN模型能够较好地再现大洋和近岸台风浪的时间发展过程和空间分布特征。 相似文献
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为减少复杂地形对台风浪数值模拟的干扰,有效优化模拟精度和效果,充分发挥台风浪数值模式在防灾减灾中的作用,文章利用ERA-interim风场驱动模式,以1513号台风"苏迪罗"为例,采用2种方案对其形成的台风浪进行数值模拟,并对二者进行比较。其中,方案(1)为采用WW3模式,方案(2)为采用WW3模式和SWAN模式嵌套。研究结果表明:选取有效波高的模拟值和观测值,根据对散点分布的定性分析以及对相关系数、偏差和均方根误差的定量计算,采用方案(2)的模拟精度更高;通过绘制台风浪场分布图,采用方案(2)对有效波高的动态数值模拟更加明显和准确,尤其对于复杂地形海域的模拟效果更优。因此,在未来的海浪数值模拟中,可参照采用方案(2),即在大区域采用WW3模式,在复杂地形海域嵌套SWAN模式。 相似文献
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《海洋湖沼通报》2021,(2)
采用第三代海浪模式WAVEWATCH Ⅲ-SWAN三层嵌套以及SWAN三层自嵌套两种方式建立两套烟台市北部近岸海域的海浪数值模拟系统,利用ERA-Interim再分析风场对几次大浪过程进行后报,对比分析两种嵌套方式的模拟效果,以选取更适合烟台近岸海域海浪数值模拟的嵌套方案。结果表明:两种嵌套方案模拟的有效波高在空间分布上,除边界附近存在0.1 m左右的差异外,其他地区计算结果基本无区别,模拟的波向空间分布基本也无差别;两种嵌套方案模拟的有效波高和波向的单点时间序列也基本无区别。数值模拟结果与观测结果的对比表明,模式计算结果在整体上能反映出波浪的变化趋势,有效波高的均方根误差为0.2～0.6 m,波向的均方根误差在40°以内。 相似文献
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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 总被引：18，自引：0，他引：18
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. 相似文献
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Matthew Browne Bruno Castelle Darrell Strauss Rodger Tomlinson Michael Blumenstein Chris Lane 《Coastal Engineering》2007
Estimation of swell conditions in coastal regions is important for a variety of public, government, and research applications. Driving a model of the near-shore wave transformation from an offshore global swell model such as NOAA WaveWatch3 is an economical means to arrive at swell size estimates at particular locations of interest. Recently, some work (e.g. Browne et al. [Browne, M., Strauss, D., Castelle, B., Blumenstein, M., Tomlinson, R., 2006. Local swell estimation and prediction from a global wind-wave model. IEEE Geoscience and Remote Sensing Letters 3 (4), 462–466.]) has examined an artificial neural network (ANN) based, empirical approach to wave estimation. Here, we provide a comprehensive evaluation of two data driven approaches to estimating waves near-shore (linear and ANN), and also contrast these with a more traditional spectral wave simulation model (SWAN). Performance was assessed on data gathered from a total of 17 near-shore locations, with heterogenous geography and bathymetry, around the continent of Australia over a 7 month period. It was found that the ANNs out-performed SWAN and the non-linear architecture consistently out-performed the linear method. Variability in performance and differential performance with regard to geographical location could largely be explained in terms of the underlying complexity of the local wave transformation. 相似文献
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本文以高分辨率后报风场资料为输入,采用SWAN波浪模式,模拟了渤海海域1985年至2004年共20年间的波浪场。通过有效波高数据的比较,可看出波浪数值结果与实测资料符合较好,可以用数值结果分析渤海海域的波浪特征。利用计算的年极值波要素,本文给出并分析了渤海海域不同重现期下的极值参数分布情况。 相似文献
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In order to investigate surf zone hydrodynamics through two-dimensional numerical simulations of nearshore circulation under random wave environment, a nearshore circulation model, SHORECIRC, and a random wave model, SWAN, were combined and utilized. Using this combined model, a numerical simulation of the October 2, 1997 SandyDuck field experiment was performed. For this simulation, field topography and an input offshore spectrum were constructed using observed data sets synchronized with the experiment. The wave-breaking model in SWAN was modified by using breaker parameters varied according to bottom slope. The simulation results were compared with the experimental data, which revealed a well-developed longshore current, as well as with results using other combinations which were SHORECIRC and its original monochromatic wave-driver, and SHORECIRC and the default of SWAN. The results from the novel combined model agreed well with the experimental data. The results of the present simulation also indicate that alongshore field topography influences shear fluctuation of longshore currents. 相似文献
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《Coastal Engineering》2005,52(2):177-195
An improved SWAN model using the Finite Element Method (FEM) was developed for wind waves simulations in both large-scale oceanic deep water regions and small-scale shallow water regions. The model employs a Taylor–Galerkin finite element technique for the discretization of the modeled area, which makes it flexible to represent bottom topography and irregular boundaries. The fractional step numerical scheme was adopted to split the wave action balance equation into three one-dimensional space equations, which can be solved efficiently by one-dimensional algorithms. The Flux-Corrected Transport method was also applied to circumvent the steep-gradients of the action density in the frequency space. The FEM code with unstructured grids improves the numerical schemes in the original SWAN to maintain computational efficiency at the operational stage. A simulation of wind wave activities for the monsoon and the 2000 Typhoon Bilis were performed using the FEM and SWAN models. The simulated results were compared with field observations in order to verify the suitability of the method. 相似文献
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基于浅水斜坡地形的物理模型试验数据,考察SWAN模型对实验室小尺度浅水波浪的模拟效果,进而检验其浅水项的模拟精度。模拟中采用直接输入初始测点的实测海浪谱进行造波,重点考察浅水中三波相互作用和变浅破碎两个源项,对不同工况下,SWAN模式在水深条件变化下的有效波高、谱平均周期、海浪谱演化的模拟能力进行研究。研究表明:模拟的有效波高较符合实测波浪的增长和衰减,但谱平均周期计算值明显偏小;海浪谱的能量转移机制同实测有较大区别,频谱模拟结果出现高频高估、低频低估现象。对两个源项进行对比分析得出三波相互作用对海浪谱的能量转换影响远大于变浅破碎耗散。想要提高近岸区谱平均周期和海浪谱的模拟精度则SWAN模型中三波非线性项的计算精确度仍需更多研究和改进。 相似文献
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Climate change, reduced sea ice and increased ice-free waters over extended areas for longer summer periods potentially lead to increased wave energy in the Beaufort Sea (Wang et al., 2015; Khon et al., 2014) [1], [2], which is a major concern for coastal and offshore engineering activities. We compare two spectral wave models SWAN (Simulating WAves Nearshore) and MIKE 21 SW (hereafter MIKE21) in simulations of storm-generated waves in the Mackenzie Delta region of the southern Beaufort Sea. SWAN model simulations are performed using two nested grids system, whereas MIKE21 uses an unstructured grid system. Forcing fields are defined by hourly hindcast winds. Moving ice edge boundaries are incorporated during storm simulations. Modelled wave spectra from four storms are shown to compare well with field observations. Two established whitecapping formulations in SWAN are investigated: one dependent on mean spectral wave steepness, and the other on local spectral steepness. For the Beaufort Sea study area, we suggest that SWAN wave simulations using the latter local spectral steepness formulation are better than those using the former mean spectral steepness formulation. MIKE21 simulations also tend to agree with SWAN results using the latter whitecapping formulation. 相似文献
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The SWAN model used to study wave evolution in a flume 总被引：1，自引：0，他引：1
Deborah J. Wood Research Assistant Markus Muttray Research Engineer Professor Hocine Oumeraci 《Ocean Engineering》2001,28(7)
The SWAN numerical model is used to model the evolution of JONSWAP wave spectra and hence the significant wave height of waves in a tank. Comparison with experiment has shown that modelling triad interactions in the numerical model leads to too low predictions of spectra and significant wave height and should therefore be excluded. The modelling of the breaking constant was also investigated, by looking at the use of a constant breaking constant, Nelson formula, and Goda formula (added into SWAN for this study). Using a constant value of 0.78 within SWAN gave the best comparison between theory and experiment. 相似文献