我国不同下垫面的近地层风切变指数研究

利用国家气候中心2009-2011年在内蒙古锡林浩特市、河北黄骅市、江西湖口县和星子县开展的100 m铁塔大气湍流观测试验数据,分析不同下垫面、不同稳定度条件下地面到100 m的风切变指数变化情况,得到了一些有意义的结论:(1)内陆简单地形整体风切变指数α0.3的情况出现在稳定和非常稳定层结状态下,分层风切变指数α0.4的频率为2.95%;(2)沿海平坦地形大气层结越稳定,整体风切变指数α的高值出现频率越高,分层风切变指数α0.4的频率略高,为4.2%;(3)对于内陆湖复杂地形,星子地形更为复杂,大于0.3的整体风切变指数出现频率高,分层风切变指数α0.4的频率高达10%,而湖口大于0.3的整体风切变指数值出现频率略低,分层风切变指数α0.4的频率为3.37%。(4)按照风力发电机组设计要求中假设风切变指数α为0.2,一般会过高的估计轮毂高度的风速。     

连云港沿海近地层湍流强度特征

在对连云港沿海15个各类气象观测站2000—2009年8级以上强风样本统计分析基础之上,利用6座沿海梯度测风塔2005—2007年测风资料,探讨了连云港沿海近地层风湍流强度的时空分布规律及特点,并重点对不同类型天气系统引起的强风湍流演变特征及其对风电场影响进行剖析。研究结果表明:①风湍流强度具有很强的季节性,冬季小、夏季大,随高度增加而减小;②海面动力粗糙度对海上强湍流变化的影响有别于无强风及下垫面是陆地时;③在热带气旋影响区域,同一时段内可能会出现风速和湍流强度瞬时骤变现象;④海上强湍流出现在30m以上高度,陆地出现在底层,这一现象在不同天气系统引起的强风湍流变化中都有发现;⑤风机轮毂高度处有2.1%～3.8%的湍流强度特征值超过目前风机最大抗湍流强度设计标准,建议华东中、北部沿海地区风机抗湍流强度参数调整为0.31～0.41。     

Summertime Thermally-Induced Circulations over the Lake Nam Co Region of the Tibetan Plateau

Performance of the fifth-generation Pennsylvania State University/National Center for Atmospheric Research Mesoscale Model(MM5) over the Lake Nam Co region of the Tibetan Plateau was evaluated based on the data from five surface observation sites in 2006. The interaction between two thermally-induced circulations(lake breezes and mountain-valley winds) was also investigated. The results show that MM5 could be used to simulate 2-m air temperature; however, MM5 needs improvement in wind field simulation.Two numerical simulations were conducted to study the effect of the lake on the local weather and wind system. The original land cover of the model was used in the control experiment, and the lake was replaced with grassland resembling the area surrounding the lake in the sensitive experiment. The results of the simulations indicate that the lake enhanced the north slope mountain-valley wind and the mountain changed the offshore flow direction at the north shore. During the day, a clear convergent zone and a strong upflow were observed over the north slope of the Nyainq?entanglha Range, which may cause frequent precipitation over the north slope. During the night, the entire area was controlled by a south flow.     

复杂下垫面风电场风速数值模拟及误差特征

利用WRF模式分别对沿海及山地条件下风电场风速进行高分辨数值模拟,并对其误差特征进行分析,结果表明:1)WRF模式对复杂地形条件下的风速模拟性能良好,模拟值较好地体现天气尺度的周期变化;2)沿海及山地条件下模拟与观测的误差特征各不相同。模式静态数据未能显现沿海的小岛,并且低估了山地测风塔所在的海拔,导致沿海平均模拟风速偏大,山地平均模拟风速偏小;3)分析不同风向的归一化均方根误差,沿海陆风情况下,下垫面相对复杂,误差明显增大;沿海海风情况下,下垫面均一,误差明显减小;4)仅作单个风电场周边数百平方千米的模拟,采用一台12核的服务器进行WRF模式的并行计算可满足48 h短期预测的时效性。仅仅提高模拟的网格分辨率,并不一定能提升模拟的准确性。     

Hurricane Wind Power Spectra, Cospectra, and Integral Length Scales

Atmospheric turbulence is an important factor in the modelling of wind forces on structures and the losses they produce in extreme wind events. However, while turbulence in non-hurricane winds has been thoroughly researched, turbulence in tropical cyclones and hurricanes that affect the Gulf and Atlantic coasts has only recently been the object of systematic study. In this paper, Florida Coastal Monitoring Program surface wind measurements over the sea surface and open flat terrain are used to estimate tropical cyclone and hurricane wind spectra and cospectra as well as integral length scales. From the analyses of wind speeds obtained from five towers in four hurricanes it can be concluded with high confidence that the turbulent energy at lower frequencies is considerably higher in hurricane than in non-hurricane winds. Estimates of turbulence spectra, cospectra, and integral turbulence scales presented can be used for the development in experimental facilities of hurricane wind flows and the forces they induce on structures.     

巴丹吉林沙漠北缘拐子湖近地层湍流能谱特征分析

利用2013年6月巴丹吉林沙漠拐子湖地区流沙下垫面的陆气通量观测资料,计算并分析了该研究区不同大气稳定层结条件下的湍流速度各分量谱和温度谱及湍流的局地各向同性特征。结果表明:该研究区风速各分量的湍流强度随平均风速的增加而逐渐减小,当平均风速2 m/s时,风速各分量的湍流强度逐渐稳定且基本限定在0.5以内。在不同大气稳定度下,湍流速度和温度能谱曲线在惯性副区内逐渐有合并趋势且遵循Kolmogorov提出的-2/3定律,速度各分量谱在高频段均满足各向同性且符合低频限制理论。随着稳定度的增加,风速分量的能谱曲线逐渐降低且向高频端移动,风速分量和温度能谱对应的谱峰长度则逐渐减小。该研究区水平湍流尺度范围为9.0~600 m,垂直湍流谱峰波长为10.79~75 m。该结果介于草地和森林下垫面之间,与塔克拉玛干沙漠腹地的试验结果较为接近。     

山东沿海风能资源分布特征及评估

利用山东省沿海测风塔70 m高度完整1 a的观测资料计算分析风能资源参数特征.结果表明：山东沿海地区平均风速与有效风功率密度分布特征相似,烟台沿海区域平均风速及有效风功率密度最大分别达到6.7 m/s、463.5 W/m²,沿海北部地区风能资源最为丰富,日照地区最少;受海陆风作用,春季风能资源最好,其次是冬季,夏季最差,风速最大值基本出现在14-16时;年有效风能时数及百分率分别为7 440 h、85%;风能密度分布基本以偏北或偏南方位较大.沿海区域风能资源分布特征与长年代评估结果及数值模拟结果基本一致.     

北京山区与平原冬季近地面风的精细观测特征

利用2009—2018年冬季北京地区200多个自动气象站逐时10 m风速、风向观测数据,分典型区域（山区、山区与平原过渡区、平原区、城区）研究北京地区冬季近地面风的精细特征,并使用有完整记录的2 a（2017和2018年）冬季延庆高山区不同海拔高度10 m风逐时观测数据,多视角分析高山区不同海拔高度近地面风的特征和成因,以深刻认识北京地区复杂地形条件下冬季近地面风的特征和规律。结果表明:（1）北京地区冬季近地面平均风受西部北部地形、城市下垫面粗糙度和冷空气活动共同影响,平均风速沿地形梯度分布,山区高平原低,平原中又以城区风速最小;盛行西北风和北风,在城区东、西两侧盛行风出现扰流,在山区和过渡区一些地方还存在与局地地形环境明显关联的其他盛行风向。（2）4个典型区域冬季近地面风速日变化均表现为白天风速大于夜间,午间风速最大的“峰强谷平”单峰特征,这一特征的稳定性在城区高、山区低。（3）4个区域冬季弱风（< 1 m/s）频率为31%—42%,城区较高、山区较低;强风（> 10.8 m/s）频次则是山区多、城区少,强风风向主要表现为偏西—偏北,与冷空气活动密切关联;城区、平原区和过渡区偏南风频率均为极小,暗示北京“山区—平原”风模态在冬季是“隐式”的、不易被直接观测到。（4）近地面风的水平尺度代表范围在延庆高山区高海拔处明显大于低海拔处,海拔1500 m附近（平均的边界层顶高度）是延庆高山近地面风速日变化特征的“分水岭”,低于该海拔高度时近地面风速日变化表现为前述“峰强谷平”单峰特征,而高于该海拔高度时近地面风速日变化则呈现相反特征,即夜间大白天小、午间最小的“峰平谷深”特征,这是由边界层湍流活动的日变化及伴随的低层自由大气动量向边界层内下传所致。（5）延庆高山近地面风速大体上随观测高度而增大,高海拔站点日平均风速数倍于低海拔站点。白天—前半夜,海拔约2000 m的站点冬季盛行偏西风,风向变化不大,但风速为2—12 m/s;1000 m左右的低海拔站则风速比较稳定（< 6 m/s）,风向从午间至傍晚相对多变。      

大别山地形对江淮飑线发展变化及组织结构的影响研究

利用中尺度WRF模式,NCEP/NCAR再分析资料以及常规气象观测资料,对2014年7月11—12日发生在江淮地区的一次飑线过程进行数值模拟、地形敏感性试验和对比分析,研究了在经过大别山地形时飑线内部组织结构的变化特征以及地形对其发展的影响。结果表明:(1)飑线经过大别山主体时在山前加强以及过山后迅速减弱的主要原因与山前对流不稳定、上升运动大于山后有关;(2)大别山东部边缘对飑线的加强有增幅作用:当午后飑线移至大别山东部边缘时,东部边缘的谷风加强并强迫对流单体在飑线的前部新生,试验得出谷风可使低层风速最大增强6 m·s~(-1)左右,若无山谷存在时前向新生单体不再出现;(3)经地形敏感性试验得出:地形引发的大别山东部背风一侧的背风波扰动,有利于飑线内部对流单体的发展与加强,同时充沛的水汽补充,也是下山后飑线加强的因子之一。     

ASCAT反演风场与华南及南海站点观测对比分析

利用2014—2017年华南沿海及南海的浮标站、海岛站、石油平台站、沿海自动站等277个自动站风场数据,与ASCAT反演风场进行了对比分析。结果表明,当观测风速小于5 m/s(大于15 m/s)时,ASCAT反演风速的平均绝对误差在3 m/s左右(存在2级左右的高(低)估);当风速介于5~10 m/s时,平均绝对误差在2 m/s左右(多数ASCAT有1~2级的高估);介于10~15 m/s时,ASCAT反演结果相对最好,风速、风向准确率能够达到60%以上。ASCAT对风速的反演结果受陆地影响较大,与观测风速的相关系数从高到低可分为三类:(1)浮标、平台站;(2)西沙、南沙自动站;(3)广东沿海自动站及海岛站、海南海岛站。ASCAT反演风场在风向的应用较风速更优,其中,东北风样本数最多,其次分别为西南风、东南风和西北风。浮标站、平台站、西沙自动站的风向反演质量相对较好;所有测站风向偏差主要由5 m/s以下的弱风贡献。单站多年月平均风速变化显示,ASCAT反演风速相对测站主要为正偏差,且秋冬季比春夏季偏差更大,这可能与大气稳定度有关。      

基于AMDAR资料应用于中国周边海域飞机颠簸的统计分析

基于2002—2011年共10 a的AMDAR资料,用于中国周边海域(0~35°N,110~150°E)越洋飞行飞机颠簸的时空分布和变化规律分析。研究指出:南海比西北太平洋海域更容易发生重度以上的飞机颠簸;全年中6月最容易发生颠簸,而9月至次年2月发生重度和严重颠簸的百分率明显减小;5 km以下,发生轻度和重度颠簸的百分率随高度增大而减小,8 km以上重度颠簸的发生百分率稳定在0.2%左右,边界层顶和对流层顶附近容易发生严重颠簸,发生的百分率分别为0.27%和0.18%;随着风速增大发生颠簸的概率一般也增大,在对流层上层风速大于40 m/s时,发生重度和严重颠簸的百分率都明显增大,达到0.2%左右。冷半年风向为NNE以及暖半年风向为SSW时,发生重度颠簸的百分率达4%左右;严重颠簸发生在暖半年的概率较大,暖半年吹SSE至ESE风时,发生百分率为0.25%~0.3%,但暖半年吹正北风或冷半年吹正南风时,也易发生严重颠簸。     

NUMERICAL SIMULATION ON THE WIND FIELD STRUCTURE OF A MOUNTAINOUS AREA BESIDE SOUTH CHINA SEA DURING THE LANDFALL OF TYPHOON MOLAVE

Leveraging the commercial CFD software FLUENT, the fine-scale three-dimensional wind structure over the Paiya Mountains on the Dapeng Peninsula near Shenzhen, a city on the seashore of South China Sea, during the landfall of Typhoon Molave has been simulated and analyzed. Through the study, a conceptual wind structure model for mountainous areas under strong wind condition is established and the following conclusions are obtained as follows： （1） FLUENT can reasonably simulate a three-dimensional wind structure over mountainous areas under strong wind conditions; （2） the kinetic effect of a mountain can intensify wind speed in the windward side of the mountain and the area over the mountain peak; and （3） in the leeward side of the mountain, wind speed is relatively lower with relatively stronger wind shear and turbulence.     

Analysis of the long-term surface wind variability over complex terrain using a high spatial resolution WRF simulation

This work uses a WRF numerical simulation from 1960 to 2005 performed at a high horizontal resolution (2 km) to analyze the surface wind variability over a complex terrain region located in northern Iberia. A shorter slice of this simulation has been used in a previous study to demonstrate the ability of the WRF model in reproducing the observed wind variability during the period 1992–2005. Learning from that validation exercise, the extended simulation is herein used to inspect the wind behavior where and when observations are not available and to determine the main synoptic mechanisms responsible for the surface wind variability. A principal component analysis was applied to the daily mean wind. Two principal modes of variation accumulate a large percentage of the wind variability (83.7%). The first mode reflects the channeling of the flow between the large mountain systems in northern Iberia modulated by the smaller topographic features of the region. The second mode further contributes to stress the differentiated wind behavior over the mountains and valleys. Both modes show significant contributions at the higher frequencies during the whole analyzed period, with different contributions at lower frequencies during the different decades. A strong relationship was found between these two modes and the zonal and meridional large scale pressure gradients over the area. This relationship is described in the context of the influence of standard circulation modes relevant in the European region like the North Atlantic Oscillation, the East Atlantic pattern, East Atlantic/Western Russia pattern, and the Scandinavian pattern.     

海面与海岸陆面风速廓线特征

利用位于江苏海岸陆地的两座测风塔以及福建海面的一座测风塔气象要素资料,分析了这两种下垫面风速、湍流等要素的日变化规律及廓线特征,探讨了这两种不同下垫面特征导致的风力特征差异。结果表明:海岸陆面日最大风速出现时间较内陆滞后,最小风速出现时间与内陆相差不大,风速日变化位相随高度滞后,日振幅随高度减小,冬季70 m高度风速日变化特征与10 m高度风速日变化特征相反,夜间大于白天,说明冬季的过渡层转换高度低于夏季;海面风速的日变化位相、日振幅等特征随高度变化很小。两种下垫面的风廓线用对数律、指数律拟合的效果相当,海岸陆面的风廓线指数呈现的规律为离岸风组大于向岸风组,冬季大于夏季;海面风廓线指数呈现的规律则是向岸风组大于离岸风组,夏季大于冬季。     

江苏沿海近地层风阵性及台风对其影响

为了研究风阵性特征,尤其是在受台风影响时湍流特征对安全开发利用风能资源的影响,利用江苏沿海5座测风塔2009年6月—2012年11月的梯度风观测数据,分析了近地层风阵性基本特征,并筛选了7个对江苏产生较大影响的台风,包括罕见的正面登陆台风达维（1210）,分析台风影响下风阵性特征。研究发现:江苏沿海地区低层的风脉动性比高层强,10 m高度的年平均阵风系数和湍流强度分别为1.50和0.20;海陆分布明显影响风阵性,离岸风的湍流强度明显大于向岸风;当风速等级小于6级时,风阵性随风速增大而一致性减小,之后则稳定少变;在台风中心附近,受风速、风向快速多变的影响,湍流强度和阵风系数均远大于台风外围和没有台风影响的情况,湍流强度和阵风系数在30~50 m高度之间增加,在6~7级风时出现风阵性的局部峰值区。     

自动站风能参数的短序列订正方法及其应用研究

利用江苏省2005年自动站与基本气象站测风资料, 以及基本站1971—2000年测风资料, 探讨了风速及风功率密度的短序列订正方法, 并将各自动站数据分别订正到3个代表年。结果表明:应用该订正方法订正年平均风速, 其平均误差百分率为3.38%;用基本站作为假设自动站对其作平均气候状况下的订正, 再与自身观测值比较, 得到年平均风速订正的平均误差百分率为7.13%, 风功率密度订正的平均误差百分率为13.26%, 最大误差百分率为21.98%, 最小误差百分率为4.46%, 订正效果较为理想。     

The Høvsøre Tall Wind-Profile Experiment: A Description of Wind Profile Observations in the Atmospheric Boundary Layer

We present an analysis of data from a nearly 1-year measurement campaign performed at Høvsøre, Denmark, a coastal farmland area where the terrain is flat. Within the easterly sector upstream of the site, the terrain is nearly homogenous. This topography and conditions provide a good basis for the analysis of vertical wind-speed profiles under a wide range of atmospheric stability, turbulence, and forcing conditions. One of the objectives of the campaign was to serve as a benchmark for flow over flat terrain models. The observations consist of combined wind lidar and sonic anemometer measurements at a meteorological mast. The sonic measurements cover the first 100 m and the wind lidar measures above 100 m every 50 m in the vertical. Results of the analysis of observations of the horizontal wind-speed components in the range 10–1200 m and surface turbulence fluxes are illustrated in detail, combined with forcing conditions derived from mesoscale model simulations. Ten different cases are presented. The observed wind profiles approach well the simulated gradient and geostrophic winds close to the simulated boundary-layer height during both barotropic and baroclinic conditions, respectively, except for a low-level jet case, as expected. The simulated winds are also presented for completeness and show good agreement with the measurements, generally underpredicting the turning of the wind in both barotropic and baroclinic cases.     

Turbulent Flow Properties Around a Staggered Wind Farm

The fundamental properties of turbulent flow around a perfectly staggered wind farm are investigated in a wind tunnel. The wind farm consisted of a series of 10 rows by 2–3 columns of miniature wind turbines spaced 5 and 4 rotor diameters in the streamwise and spanwise directions respectively. It was placed in a boundary-layer flow developed over a smooth surface under thermally neutral conditions. Cross-wire anemometry was used to obtain high resolution measurements of streamwise and vertical velocity components at various locations within and above the wind farm. The results show that the staggered configuration is more efficient in terms of momentum transfer from the background flow to the turbines compared to the case of an aligned wind turbine array under similar turbine separations in the streamwise and spanwise directions. This leads to improved power output of the overall wind farm. A simplified analysis suggests that the difference in power output between the two configurations is on the order of 10%. The maximum levels of turbulence intensity in the staggered wind farm were found to be very similar to that observed in the wake of a single wind turbine, differing substantially with that observed in an aligned configuration with similar spacing. The dramatic changes in momentum and turbulence characteristics in the two configurations show the importance of turbine layout in engineering design. Lateral homogenization of the turbulence statistics above the wind farm allows for the development of simple parametrizations for the adjustment of flow properties, similar to the case of a surface roughness transition. The development of an internal boundary layer was observed at the upper edge of the wind farm within which the flow statistics are affected by the superposition of the ambient flow and the flow disturbance induced by the wind turbines. The adjustment of the flow in this layer is much slower in the staggered situation (with respect to its aligned counterpart), implying a change in the momentum/power available at turbine locations. Additionally, power spectra of the streamwise and vertical velocity components indicate that the signature of each turbine-tip vortex structure persists to locations deep within the wind farm.     

山东即墨风电场风力资源分析

以即墨气象站风速风向为参考,利用其30年风速资料确定风电场代表年,根据铁塔气象观测资料分析即墨风电场的风力资源状况;依据“风能资源评价技术规定”对即墨风电场的风速风向进行了检验修正。分析了测风塔各高度风速日、年变化,风向频率年月变化。计算分析了测风塔不同高度平均风速、风功率密度、有效小时数等风能参数。计算了不同风电机型60~70 m轮毂高度年发电量及其随高度变化规律;估算了风电场年发电量。得出即墨风电场达到3级风场标准,具有开发价值。     

Spectrum Analysis of Wind Profiling Radar Measurements

Unlike previous studies on wind turbulence spectrum in the planetary boundary layer, this investigation focuses on high-altitude （1-5 km） wind energy spectrum and turbulence spectrum under various weather conditions. A fast Fourier transform （FFT） is used to calculate the wind energy and turbulence spectrum density at high altitudes （1-5 km） based on wind profiling radar （WPR） measurements. The turbulence spectrum under stable weather conditions at high altitudes is expressed in powers within a frequency range of 2 × 10-5-10-3 s-1, and the slope b is between -0.82 and -1.04, indicating that the turbulence is in the transition from the energetic area to the inertial sub-range. The features of strong weather are reflected less obviously in the wind energy spectrum than in the turbulence spectrum, with peaks showing up at different heights in the latter spectrum. Cold windy weather appears over a period of 1.5 days in the turbulence spectrum. Wide-range rainstorms exhibit two or three peaks in the spectrum over a period of 15-20 h, while in severe convective weather conditions, there are two peaks at 13 and 9 h. The results indicate that spectrum analysis of wind profiling radar measurements can be used as a supplemental and helpful method for weather analysis.