象山港牛鼻山水道潮流场的高频地波雷达观测与分析

作为LORCE计划中构建高频地波雷达观测网的试点,面向象山港牛鼻山水道,在六横岛郭巨山和白马礁各设置了1台OSMAR S50高频地波雷达。在2台雷达合成表面流场有效区域的中间地带,利用Valeport旋桨式海流仪和ADCP定点开展了周日连续观测,以验证高频地波雷达合成表面流场的精度。对比定点流场和高频地波雷达对应数据发现,两者变化相关性较好,高频地波雷达在该点获得的流场有较高精度。借助SCHISM建立的区域模型结果,检验了高频地波雷达数据大面上的可用性。比较发现,观测和模拟值在大的趋势上是一致的：牛鼻山水道为规则半日潮流海域,M2是主要分潮,分潮M2和K1以往复流为主;涨潮时外海海水先通过牛鼻山水道流向象山港内,一段时间后再流向佛渡水道;落潮时象山港内海水率先经牛鼻山水道流出至外海,随后佛渡水道海水再逐渐流入牛鼻山水道。     

基于GIS的高频地波雷达回波信号的表达处理与显示

高频地波雷达的“距离-多普勒”(Range-Doppler, R-D)数据与“恒虚警率”(Constant False-Alarm-Rate, CFAR)检测结果数据存在非直观性的问题, 本文针对此问题, 分析了地波雷达回波数据特点以及结果形式, 研究了采用地理信息系统(Geographic Information System, GIS)技术对回波数据进行显示分析, 对R-D 与CFAR 检测结果进行表达, 实现高频数据在GIS 环境下的表达处理与显示。本文采用GIS的栅格表达“距离-多普勒”数据, 采用矢量数据结构表达CFAR 检测结果, 实现了地波雷达检测信息的直观显示; 研究了高频地波雷达数据中特定距离一维谱信号的提取, 实现了基于距离值的目标CFAR 检测查询; 针对雷达数据量大、处理时间长的问题, 采用多线程处理机制实现了高效实时显示和分析。     

阵列式高频地波雷达矢量流长周期适用性比测试验数据分析

基于高频地波雷达长周期适用性比测试验数据,主要从以下3个方面系统分析国产阵列式高频地波雷达矢量流控测效果:(1)时间有效采样率和覆盖率的空间分布;(2)与反演的流速匹配的现场观测深度;(3)不同区域的探测精度.长周期的海流验证表明,雷达海流可以有效地反映有效探测区内表层海流及其时空变化,高精度区流速流向的均方根误差(RMS)分别为7.5～19.3cm/s和15.5°～33.7°,尤其是高精度区核心区域的RMS仅为7.5～10.1 cm/s和15.5°～28.5°.边缘区流速流向的RMS为16.1～25.8 cm/s和39.5°～40.7°,与国内外达到业务化运行要求的同类产品实际观测精度相当.     

舟山海域高频地波雷达表层流探测试验

2015年4月7-30日,在浙江省舟山近海海域开展了“嵊山-朱家尖”小型阵列变频高频地波雷达系统的海上比测试验,通过雷达观测数据与定点ADCP海流资料的比对检验了地波雷达表层流探测性能。径向流比对结果显示,测点与雷达法向夹角越小,距离雷达距离越近,径向流比测结果越好,雷达探测的结果越可靠。嵊山站径向流与ADCP观测结果的各站总体平均误差为7.98 cm/s,平均均方根误差为15.34 cm/s,平均相关系数为0.89,朱家尖站径向流与ADCP观测结果的各站总体平均误差为6.24 cm/s,平均均方根误差为12.36 cm/s,平均相关系数为0.81。根据矢量流比对结果显示,矢量流速与ADCP观测结果的各站总体平均误差为4.82 cm/s,平均均方根误差为15.03 cm/s,平均相关系数为0.44。设置在嵊山、朱家尖两个雷达站双站探测的核心区域（两个雷达站连线的中垂线上,并且与两个雷达站构成一个近似直角三角形）的站点比测结果更加理想,当流速大于0.25 m/s时,对于核心区域平均后的流向均方根误差为24.9°。     

利用资料同化方法优化观测系统的空间布局:以泰国湾为例

海洋观测费用高昂，设计科学高效的观测系统可以充分发挥观测的效能。本文以泰国湾高频地波雷达观测系统为例，利用数据同化方法对观测系统进行了最优布局。首先基于FVCOM海洋数值模式建立了泰国湾海域高分辨率三维斜压水动力模式，在此基础上利用一种改进的高效集合卡曼滤波同化方法对岸基高频地波雷达表层海流观测系统开展观测效能评估数值实验。通过观测区域的不同组合方式将3个区域的雷达表层海流数据同化到数值模式中，实验结果表明，岸基高频地波雷达表层海流观测系统可有效降低高分辨数值模式的海流模拟误差。但不同观测区域的组合提供的观测数据对改善海流模拟的作用存在明显差别，泰国湾现有观测系统雷达站位布设方式应进一步优化。本文最后给出了研究区域最优观测站位的布局方案，可作为下一步观测系统进行布局调整的指导。     

1509号台风灿鸿期间“朱家尖-嵊山”高频地波雷达数据分析

2007年在朱家尖和嵊山布设了小型阵变频高频地波雷达,对共同覆盖范围内的舟山海域进行风、浪、流的业务化探测。2015年7月11日,1509号台风灿鸿在朱家尖沿海登陆,之后继续向北偏东方向移动,台风中心经过高频地波雷达探测海域。本文将台风期间高频地波雷达的探测数据分别与定点浮标观测数据和ASCAT卫星遥感大面积风场数据进行了对比分析。结果表明,高频地波雷达在台风期间较好地反映了舟山海域流场特征和风场分布情况,高频地波雷达的探测数据精度满足指标要求,验证了高频地波雷达在复杂海况条件下具有合格的探测性能。     

日本利用海洋雷达对沿岸海域的研究

1 前言 海洋雷达在日本的应用已有15年的时间。这期间,ADCP提供了有关海域流场构造的详细信息。同期,三维流场模拟技术和港湾科学都得到长足的进展。但是,由于海洋雷达特性和观测的原因,使得其提供详尽的信息有困难。这里,针对以大阪湾为对象利用海洋雷达进行现场观测和     

杭州湾地波雷达观测的海流数据取样率分析

根据杭州湾口区两台地波雷达5个半月观测的资料,对其中的3 189个有效观测时次的海流数据取样率(CSR)在空间和时间上的变化规律进行了分析,结果表明,在两台雷达波交叉观测的中心区域各测点的地波雷达观测的海流数据取样率高于外围区域,在中心区域海流数据取样率可达98%以上,向外围区域海流数据取样率逐渐平缓递减,到边缘区域海流数据取样率仅在20%以下;地波雷达观测的海流数据取样率有明显的日变化,白天海流数据取样率明显低于夜间;17时海流数据平均取样率达到最低值(约49%),然后很快上升,至02时达最高值(约74%),然后再缓慢下降至17时为止。同时在10时和20时地波雷达观测的海流数据取样率呈现两个相对低值点,可能与人们在这两个时段通讯繁忙所造成的干扰有一定的关系。海流流速对地波雷达观测的海流数据取样率也有较大影响,呈负相关,流速大时海流数据取样率比流速小时的要低,在海流数据取样率大于98%的中心区域,流速和海流数据取样率的相关系数小于-0.8,在海流数据取样率大于60%的区域,流速和海流数据取样率的相关系数小于-0.6,体现明显的相互关联。地波雷达观测的海流数据取样率和潮汐有着每日4次的良好相干,而似乎和风没有显著的关系。希望这些分析对地波雷达以后的推广使用能积累一些经验和参考意见。     

使用浮标数据验证高频地波雷达反演涌浪频率

涌浪在近海海洋环境中起到的重要影响受到了越来越多的关注。高频地波雷达提供了一种准实时观测涌浪的新手段。本文比较了法国Iroise海区2008年2—7月期间的涌浪频率的浮标观测结果和高频雷达反演结果。结果表明,雷达反演涌浪频率与浮标结果总体吻合良好,两种观测方式之间的相关系数为0.92,均方根偏差为0.004 5Hz。雷达观测结果大部分集中在2—4月中低频涌浪发生的时期,而对5—7月期间的高频涌浪的观测能力显著降低。     

OSMAR高频地波雷达福建示范系统径向流

OSNAR高频地波雷达是863计划海洋技术领域的成果，其福建示范系统的两个远端站分别设置在福建省东山县和龙海市境内，2005年6月开始试运行．本文对2005年6、7月份试运行期间雷达远端站给出的遥感径向流数据质量进行了统计分析和初步的海洋学验证．分析结果显示，雷达返回径向流速质量随观测距离增加呈下降趋势，并有明显的日夜差异，日间质量优于夜间．初步验证表明，经质量控制处理后所提取的径向流鸩分潮的振幅和相位的空间分布具有与以往研究结果一致的特征．雷达系统所返回的径向流数据在经过适当的质量控制处理后可以有效地反映覆盖海区表层海流及其时空变化．     

Acoustic Doppler current profiler performance in near surface andbottom boundaries

The authors discuss the current measurement accuracy of the RD Instruments 1200-kHz acoustic Doppler current profiler (ADCP) in the near surface and bottom boundaries. Data are presented from tests. In the first series of tests, an ADCP was mounted on a bottom sled in an upward looking mode. The sled was towed at known speeds with and without surface waves. Additionally, tests were conducted with several acoustic baffle designs installed in the transducer head. The 1200-kHz ADCP has the ability to accurately measure mean currents in a dynamic wave induced flow field. Sidelobes can bias the measurements at 85% of the range when bottom or surface boundaries are present. The amount of bias is strongly dependent on surface wave characteristics. Sidelobe bias can be eliminated with a properly designed baffle system. The profilers have the ability to measure wave particle velocities with a properly configured system     

On the accuracy of current measurements by means of HF radar

The accuracy of surface current velocities measured by high-frequency (HF) radar is investigated. Data from the two radar systems of the University of Hamburg, CODAR (Coastal Radar) and WERA (Wellen Radar), are compared with in situ data. In one experiment, CODAR and a near-surface current meter were operated simultaneously over a 19-day period. In addition, WERA was operated for 6 days during that period. In the other experiment, WERA and a bottom-mounted current meter were operated simultaneously over a 35-day period. Both radars use frequencies of about 30 MHz where backscattering is due to ocean waves of 5 m wavelength. The influence of the orbital motion of underlying longer waves on radial velocity errors is investigated. In accordance with theory, the measured standard deviations of HF-measured current velocities depend on the sea state. Depending on the sea state, estimated errors range from 3 to 10 cm·s^-1 and explain only part of the rms difference of 10-20 cm·s^-1 found between HF and in situ current measurements. The rest is assumed to be due the differences of the quantities measured, e.g., the spatial averaging     

ADCP measurements of suspended sediment flux at the entrance to Jiaozhou Bay, western Yellow Sea

The purpose of the present contribution is to explore the technique to use Acoustic Doppler Current Pro- filers （ADCPs） for suspended sediment flux measurements, which may be applied to coastal embayment environments such as estuaries and tidal inlets for sediment exchange and budget studies. Based on tidal cycle measurements from the entrance of ]iaozhou Bay, Shandong Peninsula, eastern China, statistical rela- tionships between the suspended sediment concentration （SSC） and ADCP echo intensity output are estab- lished. Echo intensity data obtained during an ADCP survey along two cross-sections during a spring tidal phase were transformed into SSC data. The ADCP current velocity and SSC data were then used to calculate the flux of fine-grained sediment. The results show that net sediment transport at the entrance is directed towards the open sea, with an order of magnitude of 103 t per spring tidal cycle; hence, although Jiaozhou Bay is a low SSC environment, the tidally induced suspended sediment transport can be intense.     

Possibilities of X-band nautical radars for monitoring of wind waves near the coast

We present the results of development and testing of a coastal X-band radar system for monitoring wind waves and currents at the Black Sea (near Gelendzhik) created on the basis of nautical radars. Radar measurements of wave heights were validated by data from a wave buoy and a moored acoustic Doppler current profiler (ADCP). The conditions for successful radar measurements of waves in the coastal environment have been determined. It was shown that a radar with an aperture 1° could successfully measure wave heights at a distance of 1.2 km from the radar, when waves arrive at an angle of ±31° to the main sensing direction. In this case, for wave height measurements, the correlation coefficient between the radar and independent data is 0.82 and the standard deviation is 0.26 m.     

ADCP application for long-term monitoring of coastal water

Three kind of application of ADCP is reported for long-term monitoring in coastal sea. (1)The routine monitoring of water qualities. The water quality and ADCP echo data (600 kHz) observed in the long-term are analgzed at MT (Marine Tower) Station of Kansai International Airport in the Osaka Bay, Japan. The correlation between the turbidity and echo intensity in the surface layer is not good because air bubbles generated by breaking wave are not detected by the turbidity meter, but detected well by ADCP. When estimating the turbidity consists ofplankrton population from echo intensity, the effect of bubbles have to be eliminated. (2) Monitoring stirring up of bottom sediment. The special observation was carried out by using following two ADCP in the Osaka Bay, One ADCP was installed upward on the sea. The other ADCP was hanged downward at the gate type stand about 3 m above from the bottom. At the spring tide, high echo intensities indicating the stirring up of bottom sediment were observed. (3) The monitoring for the boundary condition of water mixing at an estuary. In summer season, the ADCP was set at the mouth of Tanabe Bay in Wakayama Prefecture, Japan. During the observation, water temperature near the bottom showed remarkable falls with interval of about 5～7d. When the bottom temperature fell, the inflow current with low echo intensity water appears at the bottom layer in the ADCP record. It is concluded that when occasional weak northeast wind makes weak coastal upwelling at the mouth of the bay, the combination ofupwelling with internal tidal flow causes remarkable water exchange and dispels the red tide.     

基于浊度计和ADCP的悬沙浓度估计与分析

作者采用浊度计和声学多普勒流速剖面仪(ADCP)在近海区域连续、定点观测的应用中,利用浊度与悬沙浓度之间良好的线性关系,对潮汐半月周期内的浊度和ADCP后向散射声强数据进行相关性分析,讨论了小、中、大潮期间利用ADCP后向散射声强反演悬沙浓度的可靠性,反演过程中综合考虑了声学近场非球面扩散和本底噪声的影响。结果表明,在实验海域中,小潮情况下,各水层内悬浮泥沙成分较为稳定,ADCP后向散射声强与浊度变化相关性较高,达到0.91;而在大潮情况下,ADCP后向散射声强与浊度变化的相关性降低,悬沙浓度及成分容易在海流的影响下发生变化。     

Seasonal variation of the current in the Tsushima Strait deduced from ADCP data of ship-of-opportunity

The ADCP data obtained in the Tsushima Strait in the period from February 1987 to November 1990 on board twelve patrol vessels and one research vessel belonging to Maritime Safety Agency was analyzed. Total amount of the data is 200,053, but after quality check, we used 158,401 data for the analysis of the current field and its variability in the strait. The seasonal variation of the currents had been believed to be large. However, no direct current observation throughout the season had been made, and the knowledge on the seasonal variation was derived indirectly from the data of the sea level difference across the strait and of the density field given by hydrographic observations. ADCP data indicates that the seasonal variation of the current field is considerably small in all sub-regions. In the relatively strong current region to the west of the Tsushima Island, the northeast current component has maximum value in the early winter season.     

Winds and Waves in the Yellow and East China Seas: A Comparison of Spaceborne Altimeter Measurements and Model Results

Wind speed and wave height measured by satellite altimeters represent a good data source to the study of global and regional wind and wave conditions. In this paper, the TOPEX altimeter wind and wave measurements in the Yellow and East China Seas are analyzed. The results provide a glimpse on the statistical properties and the spatial distributions of the regional wind and wave conditions. These data are excellent for use in the validation and verification of numerical simulations on global and regional scales. The altimeter measurements are compared with model output of temporal statistics and spatial distributions. The results show that the model simulations are in good agreement with TOPEX measurements in terms of the local mean and standard deviation of the variables (wave height and wind speed). For the comparison of spatial distributions, the quality of agreement between numerical simulations and altimeter measurements varies significantly from cycle to cycle of altimeter passes. In many cases, trends in the spatial distributions of wave heights and wind speeds between simulations and measurements are opposite. The statistics of biases, rms differences, linear regression coefficients and correlation coefficients are presented. A rather large percentage (∼50%) of cases show poor agreement based on a combination of low correlation, large rms difference or bias, and poor regression coefficient. There are indications that wave age is a factor affecting the performance of wave modeling skills. Generally speaking, the error statistics in the wave field is correlated to the corresponding error statistics in the wind field under the condition of active wind-wave generation. The error statistics between the wave field and the wind field become less correlated for large wave ages. This revised version was published online in August 2006 with corrections to the Cover Date.