三杯风速传感器非水平风场测量性能

为解决三杯风速传感器在计量检定条件下与观测场景中环境差异所导致的测量数据误差,致力于研究空气流速计量标准在量值传递过程中的真实性、准确性和一致性,为新一代三杯风速传感器作为计量器具的新产品型式评价提供思路和参考指标,依据杯式测风仪测量方法与自动气象站风速风向传感器检定规程,并在实验中加入了主体由角度编码器构成的自动化转盘系统,设计了三杯风速传感器在非水平风场内测量性能水平实验。通过调整三杯风速传感器在风洞试验段内的倾斜角度,模拟其在自然界非水平风场中的测量状态,同步采集风洞的标准指示风速、三杯风速传感器的实测风速以及其相应的倾斜角度,计算示值误差,利用方差分析、趋势分析、相关性分析和线性回归分析等统计方法,对不同倾斜角度下三杯风速传感器示值误差进行研究,得出了三杯风速传感器在风洞试验段内的示值误差与实测风速和倾斜角度之间的相关关系,提出了三杯风速传感器在非水平风场下的测量性能指标。研究了三杯风速传感器在非水平风场中实测风速与标准风速和倾斜角度的回归关系,提出了三杯风速传感器在计量环境下非水平风场中数据的量值传递修正算法。     

超声测风传感器在回路风洞中的测试

超声测风仪因启动风速小、无转动部件、不破坏风场、测量精度高等特点,适用于多种行业的测风需求。超声波测风的相关检定规程当前在国内尚未正式制定。本文借鉴风杯检定规程所选择的风速测试点,在HDF-720低速回路风洞中,对超声测风仪在不同角度下进行了测试数据统计分析。结果表明:超声测风仪可以安装在工作段面较大的风洞中进行测试,由于超声探头存在阴影效应,对于同一风速,不同角度上的测量结果稍有差异,而且不同风速对应的差异也不同。利用超声测风仪进行风速实时测量时,必须结合上述测试分析,按照超声传感器的安装角度,对测量值进行相应修正。     

三类测风仪测量近地层小尺度风场比较

用LSF1-1型测风仪测量一分钟一次瞬时风速记录分析表明,该测风仪可以粗略测量比较长周期的风速脉动变化,但精度较差。FL和Dyne测风仪由于它们灵敏度低,精度不够,不太合适测量小尺度风场的脉动变化。     

北京325 m气象塔塔体对测风影响的数值模拟

安装在气象观测塔上的仪器进行风速测量时,气象塔塔体本身会对流场有一定的影响,使其附近局部流场发生变化,产生绕流和尾流,导致所测风场数据相对于真实风场值失真,利用计算流体力学软件Fluent对北京325m框架式气象塔周围的风场进行了模拟,给出流向风速在该塔伸臂上测风位置的失真情况,及风速失真大小随风向风速的变化规律,计算表明若伸臂处于迎风面,在测风点上的风速误差均小于5%,与实际观测一致,验证了北京325m气象塔风速伸臂设计的合理性。     

超声波测风仪风速的不同算法误差分析

超声波测风仪与气象业务用风向标测风仪相比具有诸多优势,可为气象业务中风向风速观测急需解决的较多问题提供解决方案。为促成超声波风速仪尽早在气象部门业务应用,同时解决资料同化等问题,研究和选择适用于超声波测风仪的风速平均(平滑)算法显得极为重要。为此,从超声波测风仪测量原理出发,介绍了超声波测风仪获取数据的特点;利用台站获取的超声波测风仪风速的秒数据,采用不同时段、不同平均(平滑)方法,计算风速多种形式的平均值,通过统计、分析和比较,获得了标量和矢量不同算法下风速平均值的特性差异及其之间的误差,进一步验证了标量平均大于矢量平均的结论。通过对超声波测风仪的风速算法研究及其误差分析,对减小因算法带来的风速测量误差提供方法,同时探讨了超声波测风仪在气象业务使用的可能和方向。     

我省测风仪器的现状与展望

我省的测风仪器,目前除了省台及九江台仍保留达因测风仪外,其他台站使用的测风仪都是电接风向风速仪,此外各台站配有小气候观测及备用的测风仪有轻便风速表（DEM_2型三杯风速表及磁感应风速表）。较之轻便风速表来说电接风向风速仪具有精度高、直观,稳定及可连续自动记录等优点,故从60年代后期起一直被国家气象局指定为气象台站使用的测风仪器,但随着现代科学技术的发展,电接风已远远不能满足社会需求。一是起动风速太大（1.5m/s）,易造成小风速情况下风速,风向误差。二是测量范围小（2.0～40m/s）,无法进行强风测量。三是测     

奥运会赛艇场馆逐时风场特征

应用2007年8月北京奥林匹克水上公园12个自动测风仪逐时风场资料、BJ-ANC对流临近预报系统提供的产品和自动气象站资料等,统计分析了8月奥林匹克赛艇场地的逐时风场各级风的出现频率,同时分析了逐时风速特征和风向特点.结果表明:08:00～18:00,0～2 m/s风速出现的最大频率为82%,出现在08:00;风速在3～5 m/s的最大频率为41%,出现在09:00,次之是15:00频率为36%;风速呈现在6～8 m/s的频率迅速降低,最大仅有14%.大于9 m/s的风速出现频率更小,这种风速一般与强对流天气相对应.BJ-ANC系统的强度产品弱窄带同波,能够预报风向的转变:当弱窄带回波经过奥林匹克水上公周时,有风向转变和风速变化,若两条弱窄带回波碰撞时,雷暴加强,这对奥运赛艇比赛有指导意义.     

风廓线雷达测风精度评估

采用风廓线雷达5波束探测模式的数据对测风精度进行评估分析,用垂直波束和其中两个相邻倾斜波束的探测数据构成一对计算因子,通过对同一距离高度上的4对计算因子进行误差分析,评估风廓线雷达的测风精度,得到水平风在垂直指向连续高度上的精度。对北京延庆CFL-08风廓线雷达2010年3,6,9,12月4个典型代表月份逐日连续探测资料进行了处理分析,结果表明:该雷达满足风速误差不大于1.5 m·s-1、风向误差不大于10°探测精度要求的最大探测高度6月、9月为8 km,3月、12月为6 km,基本符合该雷达探测高度的设计要求。信噪比、大气风场的不均匀性是影响雷达测风精度的主要因素:信噪比影响了高空的测风精度,-15 dB可以作为判断雷达测风可信数据最大探测高度的阈值;晴空大气出现的风场不均匀性对风廓线雷达的测风精度影响不大,降水出现时环境风场不均匀性造成水平风向、风速的测量误差较大,不能满足测风精度要求,特别是对流性降水发生前的1~2 h,水平风向、风速的方差增长迅速,可以作为强降水出现的预警指标。     

CALMET模式不同参数化方案对江西省山地风场模拟的对比分析

通过降尺度模式CALMET不同参数化方案对江西山地风场测风塔风速风向模拟结果的对比分析,选取出适合山地风场模拟的最优参数化方案,并进行连续一年的模拟效果检验。结果表明:CALMET模式以不采用地形动力效应参数调整和Froude数调整,采用下坡气流效应调整和O’Brien垂直风速调整时,对江西省境内山地风场50 m以上高度层风场模拟效果最佳。最优参数化方案不仅能较好地模拟出山地风场测风塔逐时风速,并且对全年风速段分布模拟有较好的结果。CALMET模式能模拟出实际测风塔全年主导风向,但模拟与实测结果主导风向分布约有一个方位的偏差,主导风向频率有7%~8%的偏差。     

长沙机场阵列天气雷达风场验证

利用2019年4—9月高时空分辨率的长沙机场阵列天气雷达资料开展三维变分（three-dimensional variational data assimilation,3DVAR）风场反演研究。为验证该算法的反演效果,选取外场试验中10次降水过程,在阵列天气雷达的三维精细探测区内,采用阵列天气雷达合成风场和1部L波段边界层风廓线雷达产品作为参考值对阵列反演风场进行验证评估。结果表明:在稳定性降水条件下,阵列反演风场与阵列合成风场、风廓线雷达产品的结果较为一致;在对流性降水条件下,由于不均匀性会造成风廓线测风精度下降,风廓线雷达产品与阵列反演风场和阵列合成风场差异较大。阵列反演风场与阵列合成风场在稳定性、对流性降水条件下水平风速相对偏差分别低于19%,29%,水平风向差分别低于14.92°,26.35°,稳定性降水条件下阵列反演风场更优,误差在可接受范围内。两种算法得到的风场结构符合各类天气系统的基本特征,水平风场空间分布和风速、风向非常接近。     

风杯风速仪过高效应的订正研究

该文基于对风杯风速仪动力方程的数值计算和风杯风速仪与超声风速仪平行对比的观测结果,发现专用于近地面层精细风廓线测量的轻型低阈值风杯风速仪测风的过高效应引起的u-error约为1%,因风速平均方法不同（标量平均和矢量平均）引起的DP-error是风杯风速仪测风过高的主要原因,在小风情况下更为明显。DP-error经修正后可获得合理的风速值。     

The effect of rainfall on measurements of mean wind speed with cup anemometers in the surface layer at sea

A mathematical model is developed to estimate rain-induced errors in cup anemometer readings. Based upon a two-cup hemispheric model, the indicated wind speed is calculated for a given true wind speed, fall velocities of the drops, and a general drop-size distribution.The results of these computations show that the effect of rainfall is small as expected. The influence on derived profiles of mean wind speed is rather a displacement of the profile to lower velocities than a change in the slope of the profile.The magnitude of these errors is a few percent or less even for heavy rainfall.Now Deutscher Wetterdienst, Offenbach, F.R.G.     

不同天气条件下脉冲激光风廓线仪测风性能

将2012年5月21日-8月16日广东省湛江市东海岛气象观测站内脉冲激光风廓线仪WINDCUBE V2与气象站内的100 m测风塔进行同步观测试验,在经过观测数据同步性调整、有效性检验和代表性样本筛选基础上,分大小风和有无降雨天气过程,对杯式测风仪、超声风速仪与激光风廓线仪的同步测风数据进行比较,结果显示:脉冲激光风廓线仪与杯式测风仪测量水平风参数的相关性较好,10 min平均风速、风向的线性拟合度均大于0.99,3 s阵风风速的拟合度大于0.96,湍流强度的拟合度大于0.67,风速标准差的拟合度大于0.79;大风情况下,激光风廓线仪对风参数的测量效果更佳。无降雨情况下,激光风廓线仪的测量效果较降雨时略好,10 min降水量小于15 mm的降雨对这款激光风廓线仪的风速、风向、湍流强度、3 s阵风风速的测量没有显著影响,对风速标准差有一定影响。当水平风速增大和有降雨时,激光风廓线仪对垂直速度的测量效果欠佳。该对比分析可为激光风廓线仪观测数据的可靠性提供参考。     

A revaluation of the Kansas mast influence on measurements of stress and cup anemometer overspeeding

For the 1968 Kansas atmospheric surface-layer experiment, a supplementary analysis is made of the evaluation procedure. Available data on the ratio of wind speeds measured on separate booms show a variation with wind direction which is too large for an open mast. Actually the Kansas mast appears to have carried a bulky array of apparatus at the sonic anemometer levels. It is shown that the air flow interference caused by this obstacle can be satisfactorily estimated by way of potential flow calculations. From these it follows that the sonic anemometer measurements probably have undervalued the free-flow eddy stress by 20% to 30%, which implies that the simultaneous drag plate measurements of stress were generally correct. Also the overestimation of the mean wind speed by the Kansas cup anemometer is found to have been 6% rather than 10%. Some Kansas evaluation results are amended accordingly. The von Kármán constant is found to be 0.41 rather than 0.35, and the near-adiabatic eddy diffusivity ratio K _H /K _M becomes 1.0 rather than 1.3. The flux-gradient relations (Businger et al., 1971) after similar revision no longer differ significantly from those obtained elsewhere.     

WindSim软件在复杂地形风电场风能资源评估中的应用

复杂地形的风能资源评估研究对于风电事业的发展具有极为重要的意义。作者利用基于计算流体力学(CFD)方法的风能资源评估系统软件WindSim对我国复杂地形新疆托克逊县境内某风电场2007年的风资源情况进行了模拟,并将模拟结果与测风塔观测结果进行对比分析。模拟结果表明,WindSim软件对我国复杂地形地区平均风速的模拟能力比较好,10m、40 m、50 m、70 m高度的月平均风速的平均相对误差分别是12.91%、10.21%、9.68%、12.91%。同时,WindSim软件不仅可以较为准确地模拟出该区域2007年的主导风向,而且对该年的有效风速频率的模拟效果也很好。此风电场风能资源模拟试验说明,该地区具有十分丰富的可供开发利用的风能资源,进一步说明WindSim软件对我国复杂地形地区的风能资源评估工作具有很好的参考和应用价值。     

Effects of Turbulence and Flow Inclination on the Performance of Cup Anemometers in the Field

Four commercial and one research cup anemometers were comparatively tested in a complex terrain site to quantify the effects of turbulence and flow inclination on the wind speed measurements. The difference of the mean windspeed reading between the anemometers was as much as 2% for wind directions where the mean flow was horizontal. This difference was large enough to be attributed to the well-known overspeeding effect related to the differing distance constant (ranging from 1.7 to 5 m) of the cup anemometers. The application of a theoretical model of the cup-anemometer behaviour in athree-dimensional turbulent wind field proved successful in explaining theobserved differences.Additional measurements were taken with the anemometers tilted at known angles into and out of the incident wind flow. Thus, a field-derived angular response curve is constructed for each anemometer and the deviations from publishedwind-tunnel results are discussed.The uncertainties of, or false assumptions about, the angular response characteristics of the anemometers contribute the largest amount inthe observed errors of mean wind speed even for a horizontal mean flow. The angular response curves are finally used to correct the 10-min mean windspeed. The necessary information for the correction is the turbulent intensity (preferably in the vertical direction) and the mean flow inclination.For demanding applications, the angular response parameters of cup anemometers should be taken into account. The incorporation of the angular response parameters in a correction scheme would be most robustly applied if their variation with inclination and wind speed was smooth.     

On the measurement of atmospheric winds

The measurement of atmospheric winds using a cup anemometer to measure speed and a wind vane to measure direction, recording the data on paper charts is commonplace. Standard Meteorological Service criteria stipulate that the wind charts so recorded are read (averaged over one hour) by taking the dominant wind direction over an hour and the wind run then gives the speed over that hour. However, fluctuations of wind direction can lead to erroneous results. A vector average wind obtained using two orthogonally mounted propeller anemometers is described here, and comparisons are drawn between this and the first-mentioned technique. Prevailing winds are shown to be approximately the same for the two systems, but minor components can differ considerably. It is also shown that the integration time of the wind will have a marked effect on results.     

Measurements and Modelling of the Wind Speed Profile in the Marine Atmospheric Boundary Layer

We present measurements from 2006 of the marine wind speed profile at a site located 18 km from the west coast of Denmark in the North Sea. Measurements from mast-mounted cup anemometers up to a height of 45 m are extended to 161 m using LiDAR observations. Atmospheric turbulent flux measurements performed in 2004 with a sonic anemometer are compared to a bulk Richardson number formulation of the atmospheric stability. This is used to classify the LiDAR/cup wind speed profiles into atmospheric stability classes. The observations are compared to a simplified model for the wind speed profile that accounts for the effect of the boundary-layer height. For unstable and neutral atmospheric conditions the boundary-layer height could be neglected, whereas for stable conditions it is comparable to the measuring heights and therefore essential to include. It is interesting to note that, although it is derived from a different physical approach, the simplified wind speed profile conforms to the traditional expressions of the surface layer when the effect of the boundary-layer height is neglected.