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排序方式: 共有31条查询结果,搜索用时 15 毫秒
1.
高度计波高数据同化对印度洋海域海浪模式预报影响研究   总被引:1,自引:0,他引:1  
齐鹏  范秀梅 《海洋预报》2013,30(4):70-78
为提高海浪模式预报的精度,改善初始场是途径之一。研制了基于最优插值(OI)方法的海浪数据同化并行程序模块,并将其植入第三代海浪模式WAVEWATCH IIITM,建立了印度洋海域海浪同化预报方法,使用卫星高度计波高数据进行了同化预报试验。OI模块的并行设计使得植入同化模块的海浪模式仍能以并行方式运行。文中5°S以北印度洋海域为目标区域,嵌套在WAVE-WATCH IIITM的全球网格中,使得目标区域开边界条件得到较好解决。同化数据使用Jason-2高度计测量有效波高(SWH)沿轨数据。海浪同化预报模式由大气模式WRF(Weather Research andForecasting)输出的1小时一次的海面10 m风场驱动。将同化的模式结果(SWH)、无同化的模式结果(SWH)分别与高度计沿轨数据(SWH)进行比较,表明同化改善模式预报初始场的效果是明显的。以同化初始场出发进行海浪预报试验,结果表明,高度计波高数据同化在一定程度上可改进海浪短期预报的精度。  相似文献   
2.
利用QuikSCAT/NCEP混合风场及WAVEWATCH模拟东中国海风浪场   总被引:7,自引:0,他引:7  
将国际上比较成熟的海浪模式WAVEWATCH-Ⅲ移植到东中国海,采用QuikSCAT卫星遥感资料与NCEP数据混合风场作为强迫项,对该海区2000年1月23日至31日的一个大风天气过程下的风浪场进行了模拟计算。计算结果与浮标观测资料的对比结果说明,所获得的风浪场数值结果不但具有较高的时空分辨率,其精度也是比较高的。  相似文献   
3.
EFFECT OF WATER DEPTH ON WIND-WAVE FREQUENCY SPECTRUM Ⅰ.SPECTRAL FORM   总被引:1,自引:1,他引:1  
Wen et al.'s odhed dewiogh to obtain wind-wave frequency spectrum in deep was used toderive the spectrum in finite depth water. The spedrum S(ω) (ω bein angular frequency) when normalizedwith the zeroth moment m and peak frequercyω。 contains in adrition to the peakness factor P=ω。S(ω。)/m。, a twth parameter n=(2πm。)_(1/2)d (d being water depPth), so the spatrum behavior can bestudies for different ware growth stages and water depths.  相似文献   
4.
A shallow suction bucket is a new foundation type for offshore wind turbines. Due to its large size and bulky shape, the bucket and the soil within the bucket do not necessarily deform as a whole. Moreover, limited research has been conducted on the hydrodynamic wave influence on the shallow bucket bearing response. These factors pose great challenges to the shallow bucket foundation design. This paper presents a set of centrifuge tests of a shallow bucket model subjected to monotonic and dynamic lateral loads to study the lateral bearing response of shallow bucket foundations in the field under combined loads induced by wind, waves, etc. In addition to the routine measurements (e.g., load-displacement), the soil pressures on the bucket and the distribution and evolution of the excess pore pressures in the surrounding soils are also obtained. The deformation pattern of the bucket (e.g., rotation center) is revealed through displacement measurements. Finally, the proposed easy-to-use analytical equations using the limit equilibrium to assess the bearing capacity of bucket foundations, taking into account the influence of the soil strength degradation caused by hydrodynamic wave loadings, are found to yield good results upon comparison with the centrifuge data, providing useful guidelines for the design of shallow bucket foundations.  相似文献   
5.
基于拟层流风波生成机制的海浪谱模型   总被引:1,自引:0,他引:1  
徐亚洲  李杰 《海洋工程》2012,30(1):83-91
海浪谱的能量可以视为由具有不同相速度的谐波携带的能量所组成。基于对风波形成、发展过程的认识,认为各组成谐波的能量由谐波自平均风摄取而来,由此根据拟层流模型推导出谐波能量密度的计算公式,建立以等效风速和峰值频率等为基本参数的海浪谱模型——随机Fourier函数模型,并给出了确定谐波频率、波长、相速度、振幅以及等效风速等模型参数的原则和计算方法。在59个实测样本谱基础上,采用随机建模方法确定模型参数的取值及其概率分布。结果表明,海浪谱模型可以很好地预测谱能,所计算的物理谱与实测谱均值吻合良好。  相似文献   
6.
It is generally believed that the equilibrium range of wind wave spectrum is in the form of the −4 rather than −5 power law. However, in the widely applied P-M spectrum the equilibrium range is given in the form of −5 power law. In the present paper, a spectrum for full development of wind waves is proposed using the form of the Neumann spectrum, but adopting the −4 power law for the equilibrium range. The proposed spectrum has been verified with NDBC buoy data and could be a substitute for the P-M spectrum.  相似文献   
7.
运用现代数码技术,设计了风浪要素数值化实景监测,对近距离局域风浪进行非入侵式自动图像监测与风浪数值信息提取.在设计中采取不同于常规风浪遥感散射回波反演的方式,通过人机互动,应用相似性搜索判别原理,实现了风浪场中波峰线的自动识别与绘制,并以此为基础进行实况分析与运算,获得波长、周期、波速、波向、波龄以及波高、波陡等各项要素的统计值.针对波高与其他波浪参数无直接解析关系式问题,依据风浪非线性动力统计特性的谱模型,建立了波高逆运算函数方法,通过实验调试参数由实景监测的波长推导出波高等风浪结构要素.经实验室及室外自然条件测试,该监测系统能给出合理的观测时段的风浪要素统计特征值.  相似文献   
8.
广东阳西近岸海域波浪的分布特征   总被引:2,自引:0,他引:2  
通过对广东阳西近岸测站1a实测波浪资料及岸边同期风资料的整理与分析,探讨了该海域的波浪特性,得出研究海域不分方向H1/10年平均值为1.00 m,常浪向为SE向,出现的频率为38.35%,强浪向为SE向,观测期间的最大波高出现在0814号"黑格比"台风期间,Hmax值为8.31 m.用已有的理论分布函数对实测统计数据进行拟合,筛选出研究海域的波高分布、周期分布及波高与周期联合分布的特征,结果表明双参数威布尔理论波高分布、杨正己威布尔周期分布、朗格-赫金斯83模式或者孙孚模式较为适用于本海区的波高分布、周期分布、波高周期联合分布;结合相应的风速风向资料,运用回归分析方法,建立了该地区的波高与风速之间、波高与波周期之间的关系.  相似文献   
9.
In this paper,the observational data from Marine and Meteorological Observation Platform(MMOP)at Bohe,Maoming and buoys located in Shanwei and Maoming are used to study the characteristics of air-sea temperature and specific humidity difference and the relationship between wind and wave with the tropical cyclones over the South China Sea(SCS).The heat and momentum fluxes from eddy covariance measurement(EC)are compared with these fluxes calculated by the COARE 3.0 algorithm for Typhoon Koppu.The results show that at the developing and weakening stages of Koppu,both these differences between the sea surface and the near-surface atmosphere from the MMOP are negative,and data from the buoys also indicate that the differences are negative between the sea surface and near-surface atmosphere on the right rear portion of tropical cyclones(TCs)Molave and Chanthu.However,the differences are positive on the left front portion of Molave and Chanthu.These positive differences suggest that the heat flux is transferred from the ocean to the atmosphere,thus intensifying and maintaining the two TCs.The negative differences indicate that the ocean removes heat fluxes from the atmosphere,thus weakening the TCs.The wind-wave curves of TCs Molave and Chanthu show that significant wave height increases linearly with 2-min wind speed at 10-m height when the wind speed is less than 25 m/s,but when the wind speed is greater than 25 m/s,the significant wave height increases slightly with the wind speed.By comparing the observed sensible heat,latent heat,and friction velocity from EC with these variables from COARE 3.0 algorithm,a great bias between the observed and calculated sensible heat and latent heat fluxes is revealed,and the observed friction velocity is found to be almost the same as the calculated friction velocity.  相似文献   
10.
The spectrum derived in Part I of the present paper is here systematically verified with field data and compared at some length with that obtained by multiplying the deep-water spectrum with the Kitaigorodskii factor. Project supported by the National Natural Science Foundation of China.  相似文献   
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