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1.
利用ECMWF的ERA-Interim风场数据与GEBCO_2014系列的水深数据,基于近海海浪模式SWAN,对2007年1月—2017年12月舟山近海的海浪开展水平分辨率为0.01°×0.01°的精细化模拟。通过对波功率密度、能级频率、变异系数的计算,并结合有效波高及风场的变化特征,综合分析了舟山海域的波能分布特征、富集程度及稳定状况,从而为舟山海域波浪能资源的开发和利用提供科学依据。结果表明:(1)舟山海域的波浪能分布具有显著的地域和季节性变化特征,其中朱家尖东南方向海域的波浪能在夏季最为丰富,而东极岛东北方向海域的波浪能则在冬季最为丰富,这两个海域的年平均波功率分别为1.97 kW/m和1.73 kW/m;(2)舟山海域波浪能稳定性存在差异,东极岛东北方向的海域在冬季波浪能的稳定性较好,朱家尖东南方向的海域以及象山、岱山等地区的北侧海域在夏季波浪能稳定性最差;(3)东极岛东北方向海域的波浪能丰富程度以及稳定性均为最佳,该海域具有较好的波浪能开发前景。 相似文献
2.
北极海域海面风场和海浪遥感观测能力分析 总被引：1，自引：1，他引：0
卫星遥感是开展北极海域海面风场和海浪分布特征与变化规律研究的重要手段。本文基于在轨多源卫星遥感数据，从遥感观测空间覆盖、时间覆盖和多源卫星遥感数据融合等方面开展北极海域海面风场与海浪遥感观测能力分析，研究主要结果为:基于ASCAT和HY-2A散射计可实现北极海域海面风场遥感观测，通过多星联合观测可获取北极海域时空分辨率优于12 h和0.1°的海面风场遥感融合数据；基于HY-2A、CryoSat-2、SARAL和Sentinel-3高度计可实现北极海域海浪遥感观测，同样通过多星联合观测可获取北极海域时空分辨率优于1 d和0.25°的海浪有效波高遥感融合数据；基于2016年北极海面风场和海浪遥感融合数据，分析得出北极海域海面风场和海浪在2月处于极大值，然后逐渐减小，7月最小，随后开始逐渐增大。本研究表明，基于多源散射计和高度计遥感观测可实现北极海域海面风场和海浪的高时空分辨率遥感业务化监测。 相似文献
3.
《海洋湖沼通报》2017,(6)
波浪能是一种可再生能源,对波浪能资源进行可靠的评估是开发利用的前提。本文利用欧洲中期天气预报中心(ECMWF)ERA-Interim 1981-2015年0.125°×0.125°的较高分辨率的海浪场数据,计算了中国海域的波浪能流密度,采用波浪能流密度的富集度频率和变异系数评价了中国海域的波浪能资源,系统研究了波浪能流密度的季节特征及富集度特征。研究表明:(1)我国周边海域波浪能资源呈现非常明显的季节分布特征,秋冬季较丰富、春夏季较贫乏。(2)波浪能资源的丰富的海区为海南岛以东、广东省以南海域(即南海中北部),同时,台湾岛东部海域波浪能资源也较为丰富。(3)波浪能资源相对稳定的区域为台湾岛以东海域和南海中北部海域,其中冬季稳定性最好,夏季最差。(4)综合考虑到波能资源开发的特点,建议选择广东沿岸海域作为波浪能开发的重点海域。 相似文献
4.
基于背景误差分析中的观测法,利用Jason-1卫星高度计沿轨有效波高数据并结合Wave Watch Ⅲ海浪模式预报结果,进行北印度洋海域海浪背景误差分析,得到海浪场背景误差方差和各向同性假设下背景误差相关长度的时空分布特征。按经验函数拟合该海域有效波高背景误差协方差时总残差平方和最小的原则给出了更为适用于该海域的描述公式。在上述工作基础上,采用最优插值同化方法将Jason-1和Jason-2卫星高度计有效波高数据连续同化到海浪模式Wave Watch Ⅲ,按业务化标准对2013年1月北印度洋海域的海浪场进行了同化预报试验,经浮标数据检验发现同化可使海浪24 h预报得到明显改进。 相似文献
5.
中国大陆沿岸波浪能分布初步研究 总被引：2，自引：1，他引：1
波浪能作为可持续利用的清洁能源,日益被人们所关注,本文基于WAVEWATCHⅢ全球波浪模式,建立了较高精度的中国沿岸海域波浪数学模型,重点对中国大陆沿岸-30m等深线上的波浪能分布进行了研究,在已有研究成果的基础上进一步细化了中国沿岸海域波浪能的时空分布规律,为合理开发、利用波浪能提供了一定的数据支持。研究认为,中国沿岸波浪能储量相对较小,南北分布以长江口为界,以南海域波能整体较大,波能季节性差异明显,在开发利用时,需要对工程区域的波浪能特征充分论证,科学合理地选用波浪能转化设备,防止造成巨大经济损失。 相似文献
6.
由于南海海域地形复杂,岛屿众多,不可避免的会产生折射、变浅、绕射、波浪破碎、非线性波相互作用等近岸物理过程。因此采用以风场驱动的第三代海浪数值模式SWAN,可得到南海海域1986年1月至2005年12月较高分辨率的波浪场,计算了南海海域的波浪能流密度,综合考虑能流密度的大小和14个站位能流密度分级统计的特征等方面对南海海域波浪能资源进行了研究,寻找该海域波浪能资源的相对优势区域,为建立海上波浪能电站提供科学依据。 相似文献
7.
海面有效波高(H1/3)是表征海浪的重要参数,随着卫星遥感技术的发展,雷达高度计已成为获取海面有效波高的重要手段,但也只能对卫星星下点轨迹处进行有效观测,远无法满足大范围应用的需求.本研究结合2013年10月HY-2雷达高度计观测的海面有效波高和微波散射计观测的海面风场资料,分别对高、低风速下风浪数据进行拟合,建立了适用于0~40 m/s风速范围内的南海海域风浪关系模型,经模型比对和结果验证,结果表明,基于HY-2卫星数据分析建立的南海海域风浪关系模型是可信的,特别是低风速的风浪模型与实测数据建立的风浪模型具有很好的一致性;根据建立的风浪关系模型,从卫星散射计大面观测的海面风场出发,能推算出风浪条件下海面有效波高的大面信息,数据覆盖远高于卫星高度计的星下点观测,能为分析和预报海浪、风暴潮灾害提供大范围的海面有效波高信息. 相似文献
8.
采用SWAN模型,对浙江中部近海海域进行了为期10 a的高分辨率波浪数值模拟,获得了年均波功率密度分布,同时讨论了波能在该海域的有效时长分布,通过对波功率密度的变异系数统计讨论了其稳定性,最后估算了该海域波浪能资源储量约为0.91×10～6kW。总体而言,在近海海域中,离岸较近的浅海海域波能资源较为贫乏,波功率密度大于2 kW/m的海域多分布于10 m等深线以外,其等值线与岸线趋于平行;离大陆较远的岛屿周边海域波能资源丰富,在初期波浪能开发利用阶段具有明显的优势;近岸海域波浪能有效时长约1 500 h,至鱼山列岛一线离岸较远海域约4 000 h;近海大部分海面波浪能变异系数约在2-3之间。 相似文献
9.
10.
为海岛供电，是波浪能开发利用技术的重要应用领域。在海岛周边波浪能资源开发利用之前，需对波浪能资源进行精细化勘查，并在此基础上准确分析掌握工程实施海域的波浪能资源特征，以便开展有针对性工程设计。本文以威海褚岛北部海域为研究目标，结合对历史数据和水动力理论分析，制定精细化勘查方案，并通过代表性验证试验，对方案进行修正，再应用修正后的方案对目标海域进行长期观测。该方法改进了传统的波浪观测方法，更适用于小区域波浪要素的精细化观测，且在保证观测质量的前提下，有效降低了观测成本。另一方面，针对波向四季变化明显，且海岛周边波浪受岛岸线反射和绕射影响且地形变化剧烈的特点，本文利用改进的SWAN（simulating waves nearshore）数值模型计算目标海域波浪能资源，并结合统计学方法，研究波浪能量随波向分布特征的计算分析方法，得出褚岛周边海域全年波浪能量随波向的分布特征。 相似文献
11.
This study makes use of the concept of wave age in estimating ocean wave period from space borne altimeter measurements of backscattering coefficient and significant wave height. Introduction of wave age allowed better accounting of the difference between swells and wind waves. Using two years (1998 and 1999) data of TOPEX/Poseidon altimeter and ocean data buoy observations in the Indian Ocean, coefficients were generated for wave period, which were subsequently tested against data for the years 2000 and 2001. The results showed the wave period accuracy to be of the order of 0.6 sec (against 1.3 sec obtained with the semiempirical approach, reported earlier). 相似文献
12.
This study makes use of the concept of wave age in estimating ocean wave period from space borne altimeter measurements of backscattering coefficient and significant wave height. Introduction of wave age allowed better accounting of the difference between swells and wind waves. Using two years (1998 and 1999) data of TOPEX/Poseidon altimeter and ocean data buoy observations in the Indian Ocean, coefficients were generated for wave period, which were subsequently tested against data for the years 2000 and 2001. The results showed the wave period accuracy to be of the order of 0.6 sec (against 1.3 sec obtained with the semiempirical approach, reported earlier). 相似文献
13.
Significant wave height(SWH) can be computed from the returning waveform of radar altimeter, this parameter is only raw estimates if it does not calibrate. But accurate calibration is important for all applications, especially for climate studies. HY-2a altimeter has been operational since April 2012 and its products are available to the scientific community. In this work, SWH data from HY-2A altimeters are calibrated against in situ buoy data from the National Data Buoy Center(NDBC), Distinguished from previous calibration studies which generally regarded buoy data as "truth", the work of calibration for HY-2A altimeter wave data against in situ buoys was applied a more sophisticated statistical technique—the total least squares(TLS) method which can take into account errors in both variables. We present calibration results for HY-2A radar altimeter measurement of wave height against NDBC buoys. In addition, cross-calibration for HY-2A and Jason-2 wave data are talked over and the result is given. 相似文献
14.
Calibration/Validation of an Altimeter Wave Period Model and Application to TOPEX/Poseidon and Jason-1 Altimeters 总被引：1，自引：0，他引：1
The altimeter radar backscatter cross-section is known to be related to the ocean surface wave mean square slope statistics, linked to the mean surface acceleration variance according to the surface wave dispersion relationship. Since altimeter measurements also provide significant wave height estimates, the precedent reasoning was used to derive empirical altimeter wave period models by combining both significant wave height and radar backscatter cross-section measurements. This article follows such attempts to propose new algorithms to derive an altimeter mean wave period parameter using neural networks method. Two versions depending on the required inputs are presented. The first one makes use of Ku-band measurements only as done in previous studies, and the second one exploits the dual-frequency capability of modern altimeters to better account for local environmental conditions. Comparison with in situ measurements show high correlations which give confidence in the derived altimeter wave period parameter. It is further shown that improved mean wave characteristics can be obtained at global and local scales by using an objective interpolation scheme to handle relatively coarse altimeter sampling and that TOPEX/Poseidon and Jason-1 altimeters can be merged to provide altimeter mean wave period fields with a better resolution. Finally, altimeter mean wave period estimates are compared with the WaveWatch-III numerical wave model to illustrate their usefulness for wave models tuning and validation. 相似文献
15.
基于多星融合高度计数据的中国海波浪能资源评估 总被引：4，自引：2，他引：2
Wave energy resources are abundant in both offshore and nearshore areas of the China's seas. A reliable assessment of the wave energy resources must be performed before they can be exploited. First, for a water depth in offshore waters of China, a parameterized wave power density model that considers the effects of the water depth is introduced to improve the calculating accuracy of the wave power density. Second, wave heights and wind speeds on the surface of the China's seas are retrieved from an AVISO multi-satellite altimeter data set for the period from 2009 to 2013. Three mean wave period inversion models are developed and used to calculate the wave energy period. Third, a practical application value for developing the wave energy is analyzed based on buoy data. Finally, the wave power density is then calculated using the wave field data. Using the distribution of wave power density, the energy level frequency, the time variability indexes, the total wave energy and the distribution of total wave energy density according to a wave state, the offshore wave energy in the China's seas is assessed. The results show that the areas of abundant and stable wave energy are primarily located in the north-central part of the South China Sea, the Luzon Strait, southeast of Taiwan in the China's seas; the wave power density values in these areas are approximately 14.0–18.5 k W/m. The wave energy in the China's seas presents obvious seasonal variations and optimal seasons for a wave energy utilization are in winter and autumn. Except for very coastal waters, in other sea areas in the China's seas, the energy is primarily from the wave state with 0.5 m≤H s≤4 m, 4 s≤T e≤10 s where H s is a significant wave height and T e is an energy period; within this wave state, the wave energy accounts for 80% above of the total wave energy. This characteristic is advantageous to designing wave energy convertors(WECs). The practical application value of the wave energy is higher which can be as an effective supplement for an energy consumption in some areas. The above results are consistent with the wave model which indicates fully that this new microwave remote sensing method altimeter is effective and feasible for the wave energy assessment. 相似文献
16.
The altimeter radar backscatter cross-section is known to be related to the ocean surface wave mean square slope statistics, linked to the mean surface acceleration variance according to the surface wave dispersion relationship. Since altimeter measurements also provide significant wave height estimates, the precedent reasoning was used to derive empirical altimeter wave period models by combining both significant wave height and radar backscatter cross-section measurements. This article follows such attempts to propose new algorithms to derive an altimeter mean wave period parameter using neural networks method. Two versions depending on the required inputs are presented. The first one makes use of Ku-band measurements only as done in previous studies, and the second one exploits the dual-frequency capability of modern altimeters to better account for local environmental conditions. Comparison with in situ measurements show high correlations which give confidence in the derived altimeter wave period parameter. It is further shown that improved mean wave characteristics can be obtained at global and local scales by using an objective interpolation scheme to handle relatively coarse altimeter sampling and that TOPEX/Poseidon and Jason-1 altimeters can be merged to provide altimeter mean wave period fields with a better resolution. Finally, altimeter mean wave period estimates are compared with the WaveWatch-III numerical wave model to illustrate their usefulness for wave models tuning and validation. 相似文献
17.
Wave energy resource assessment and trends around Indonesian's ocean has been carried out by means of analyzing satellite observations. Wave energy flux or wave power can be approximated using parameterized sea states derived from satellite data. Unfortunately, only some surface parameters can be measured from remote sensing satellites, for example for ocean surface waves: significant wave height. Others, like peak wave period and energy period are not available, but can instead be estimated using empirical models. The results have been assessed by meteorological season. The assessment shows clearly where and when the wave power resource is promising around Indonesian's ocean. The most striking result was found from June to August, in which about 30–40 kW/m(the 90 th percentile: 40–60 kW/m, the 99th percentile: 50–70 kW/m) wave power energy on average has been found around south of the Java Island. The significant trends of wave energy at the 95% level have also been studied and it is found that the trends only occurred for the extreme cases, which is the 99th percentile(i.e.,highest 1%). Wave power energy could increase up to 150 W/m per year. The significant wave heights and wave power have been compared with the results obtained from global wave model hindcast carried out by wave model WAVEWATCH III. The comparisons indicated excellent agreements. 相似文献
18.
As a part of our calibration/validation activities five months of SARAL/AltiKa wave data have been analyzed in this study. A robust quality control procedure using threshold values on signal and retrieved wave heights was implemented before the assimilation. Assimilation runs in the wave model Météo-France (MFWAM) were performed for a long period. The validation of the model outputs was performed with independent wave observations from altimeter and buoy data. The results indicate good performance in terms of bias and scatter index for the significant wave height and the peak wave period. Statistical analyses were performed for different ocean basins (high and intermediate latitudes and tropics). The use of SARAL/AltiKa and Jason-2 wave data combined was also investigated. This leads to further improvements for the analysis and forecast periods. In other respects, the impact of the assimilation of SARAL/AltiKa wave data is discussed for waves under strong wind conditions such as typhoons Fitow and Danas which occurred in early October 2013. 相似文献
19.
Planetary waves are key to large-scale dynamical adjustment in the global ocean as they transfer energy from the east to the west side of oceanic basins; they connect the forcing in the ocean interior with the variability at its boundaries; and they change the local heat content, thus coupling oceanic, atmospheric, and biological processes. Planetary waves, mostly of the first baroclinic mode, are observed as distinctive patterns in global time series of sea surface height anomaly (SSHA) and heat storage. The goal of this study is to compare and validate large-scale SSHA signals from coupled ocean-atmosphere general circulation Model for Interdisciplinary Research on Climate (MIROC) with TOPEX/POSEIDON satellite altimeter observations. The last decade of the models’ time series is selected for comparison with the altimeter data. The wave patterns are separated from the meso- and large-scale SSHA signals by digital filters calibrated to select the same spectral bands in both model and altimeter data. The band-wise comparison allows for an assessment of the model skill to simulate the dynamical components of the observed wave field. Comparisons regarding both the seasonal cycle and the Rossby wave field differ significantly among basins. When carried within the same basin, differences can occur between equal latitudes in opposite hemispheres. Furthermore, at some latitudes the MIROC reproduces biannual, annual and semiannual planetary waves with phase speeds and average amplitudes similar to those observed by the altimeter, but with significant differences in phase. 相似文献
20.
随着技术的进步和数据处理方法的完善,经过修正的卫星高度计数据已获得普遍认可。但在南大洋缺少波浪现场数据,卫星高度计在极端恶劣气候条件下获得数据的准确度仍受到一定程度的质疑。中国于2020年第36次南极考察中,在南大洋布放了一套感应耦合漂流浮标,可提供可靠的南大洋现场波浪数据。本文利用该漂流浮标2020年1月27日至9月29日共246天的有效波高数据与7颗卫星的高度计资料进行对比,研究了空间窗口的选取对卫星高度计与浮标数据比较的影响。选定了30 min、160 km的时空窗口,对两种波高数据进行了对比,两者具有较高的一致性,但存在一定的差异。最终得出了经过其他海域现场波浪数据修正的卫星高度计资料,不一定能准确刻画南大洋有效波高特征,需要更多的现场资料进行再次修正的结论。 相似文献