山东大风天气的低频特征及机理分析

利用山东省122个国家级地面气象观测站的风速数据与欧洲中期天气预报中心（ECMWF）提供的ERA- Interim再分析数据,采用小波分析、带通滤波等方法对2015年9月—2020年9月山东的大风天气及相应的低频大气环流形势进行分析。结果表明,近几年山东的大风天气有増加的趋势,春季大风发生频次最多,秋季最少;山东半岛东部大风频次最多,鲁南地区最少;全年只有7月偏南大风站次较偏北大风多,其余月份多以偏北大风为主。山东大风具有显著的11~13 d与20~23 d的低频振荡周期。其中,春季大风以11~13 d的振荡周期为主,秋、冬季以20~23 d的振荡周期为主,夏季大风的振荡周期不明显。振荡周期的演变与大范围的大风过程有对应关系,大范围的大风过程大致发生在振荡的波峰处。春季偏北大风盛行时,多伴有经向风自北向南的传播。秋季大约以35°N为界,对流层中高层在35°N以北,经向风自南向北传播,35°N以南,则是自北向南传播,对流层中低层反之。山东春季大风产生之前,乌拉尔山东侧低频气旋与黄海上空低频反气旋同时出现并东移,之后衍生出华北低频反气旋与渤海低频气旋,这两个系统的加强促使华北上空偏北风加大,为山东大风的产生提供了可能。同时,华北地区经向风正距平逐渐被负距平所代替,是山东大风天气产生的又一先兆。     

中间层顶区域大气平均风场年和半年振荡的全球结构

利用2003~2011年TIDI(TIMED Doppler Interferometer)风场观测数据研究了中间层顶区域80~105 km纬向平均风场年振荡和半年振荡振幅和相位的全球分布结构,并给出了它们的年际变化。在热带地区,纬向风半年振荡最显著。振幅峰值中心位于南半球10°S~20°S范围,出现与平流层半年振荡类似的相对于赤道不对称的分布,并且振幅峰值与以前在该区域的研究结果存在较大差别。在中高纬度地区,纬向风和经向风被年振荡所控制。纬向风在高度100 km以下中高纬度都存在振幅大值中心;经向风年振荡只出现在两半球中纬度高度95 km以下,并且南北半球振幅峰值中心分布不一致。分析结果还显示年振荡和半年振荡振幅存在显著地年际变化,相位的年际变化则较小,但北半球热带地区经向风年振荡振幅和相位表现出2年周期的变化。     

On moisture flux across the sea surface

Available data on the water-vapor flux across the air-sea interface are processed to determine its coefficient. The results are found to be clearly divided into two regions; as the wind velocity increases the neutral transfer coefficient decreases at low winds, and increases at intermediate winds. The characteristics of aerodynamically smooth flows are demonstrated at low winds; the neutral transfer coefficient at intermediate winds increases linearly with the wind velocity, at nearly the same rate as the wind-stress coefficient. For various atmospheric conditions, the transfer coefficient varies systematically with the product between the wind velocity and the difference in humidities at the sea surface and at 10-m elevation. Readily applicable formulae are proposed for both low and intermediate winds.     

A comparison of wind speed shears for frontal and undisturbed synoptic conditions

Wind speed shear parameters derived from data collected at a 481-m TV tower are computed for disturbed conditions (cold frontal passage), all undisturbed winds, undisturbed high winds, and undisturbed low winds. The exponential values of the wind speed power law for the case of disturbed conditions are found to be smaller than those for the case of all undisturbed winds, for practically all atmospheric stabilities; the largest exponential value (0.45) appears in the undisturbed low wind case at Richardson numbers near 0.25. The largest mean and standard deviations of the wind shear at the lowest layer (7–26 m) are 0.129 and 0.066 s ^-1, respectively, which occur for the high wind case at near-neutral stability. The most significant differences between the cases of disturbed and all undisturbed winds are that the former has much larger wind speeds and wind shear standard deviations in atmospherically-stable conditions.Work performed under the auspices of the U.S. Department of Energy.     

Impact of air pollution on summer surface winds in Xi’an

By analysis of observation data, this paper demonstrates that pollution particles could reduce surface wind speed through blocking solar radiation to the ground. The comparation between temperature at the lowland meteorological station Xi’an and that over the nearby highland station Mt. Hua suggests that surface solar radiation at Xi’an is reduced due to the increasing anthropogenic aerosols. The reduced surface energy suppresses the atmospheric instability and convective flows, and thus the downward transfer of faster winds aloft is reduced. Consequently, wind speeds near surface are weakened. This reduction of surface winds is shown by the significant reverse trends of wind speeds over the two stations at different elevations. The aerosols’ effects on winds are also manifested in the trends of radionsonde wind speed. The decreased surface winds in Xi’an have also reduced local pan evaporation.     

金沙江下游局地大气边界层风场变化特征

利用2008年在金沙江下游溪洛渡水电站坝区及向家坝水电站库区获得GPS低空探空资料以及同步地面观测资料,统计分析了坝区从地面开始到大气边界层2000 m高度四季不同高度的风场变化特征.结果表明:(1)春季溪洛渡坝区大气边界层以偏西风为主导风向,1500m高度层以下静风和小风出现频率大,是四个季节中地面静风、小风出现频率的最大值;(2)夏季地面静风、小风出现频率为四个季节中最小,夏季大气边界层中低层主要盛行西风和西北偏西风;(3)秋季溪洛渡坝区大气边界层中低层主要盛行偏西风,到高层则逐渐转变为偏北风;(4)冬季溪洛渡坝区大气边界层低空盛行以西风和西北偏西风为主导的偏西风;中高层主要风向是西风、西南偏西风、东风和东北偏东风;(5)溪洛渡坝区秋、冬季大气边界层西风、东北偏北风、东北偏东风风速最大值均出现在2000m高度层.     

乌鲁木齐机场东南大风数值预报及地形敏感性试验

利用WRF模式和GFS资料对乌鲁木齐机场一次东南大风天气进行了预报和地形敏感性试验。模式预报的结果表明:WRF模式对东南大风的起风时间、持续时间、风速大小等方面有较强的预报能力。地形敏感性试验表明:1乌鲁木齐市区与机场300m左右的高度差对机场风速的影响很大;2机场上空下沉运动的强弱与东南大风的强弱有很好的对应关系;3机场东南大风的风速变化并不总是与峡谷两端气压梯度力的变化同步。此次东南大风天气的产生是低空动量下传、狭管效应和下坡风共同作用的结果。动量下传主要出现在海拔2000m以下的高度,下坡风主要出现在海拔935m以下的高度。     

Oscillation of Surface PM<Subscript>2.5</Subscript> Concentration Resulting from an Alternation of Easterly and Southerly Winds in Beijing: Mechanisms and Implications

We used simultaneous measurements of surface PM_2.5 concentration and vertical profiles of aerosol concentration, temperature, and humidity, together with regional air quality model simulations, to study an episode of aerosol pollution in Beijing from 15 to 19 November 2016. The potential effects of easterly and southerly winds on the surface concentrations and vertical profiles of the PM_2.5 pollution were investigated. Favorable easterly winds produced strong upward motion and were able to transport the PM_2.5 pollution at the surface to the upper levels of the atmosphere. The amount of surface PM_2.5 pollution transported by the easterly winds was determined by the strength and height of the upward motion produced by the easterly winds and the initial height of the upward wind. A greater amount of PM_2.5 pollution was transported to upper levels of the atmosphere by upward winds with a lower initial height. The pollutants were diluted by easterly winds from clean ocean air masses. The inversion layer was destroyed by the easterly winds and the surface pollutants and warm air masses were then lifted to the upper levels of the atmosphere, where they re-established a multi-layer inversion. This region of inversion was strengthened by the southerly winds, increasing the severity of pollution. A vortex was produced by southerly winds that led to the convergence of air along the Taihang Mountains. Pollutants were transported from southern–central Hebei Province to Beijing in the boundary layer. Warm advection associated with the southerly winds intensified the inversion produced by the easterly winds and a more stable boundary layer was formed. The layer with high PM_2.5 concentration became dee-per with persistent southerly winds of a certain depth. The polluted air masses then rose over the northern Taihang Mountains to the northern mountainous regions of Hebei Province.     

A Study of Orographic Blocking and Barrier Wind Development Upstream of the Southern Alps, New Zealand

Summary Upper level and surface wind data for 1994 are used to provide an initial identification of the orographic effect on regional airflow patterns upwind of the mountain barrier. A case study of the development of upstream blocking and barrier jets is also provided. The predominance of gradient airflow from between northwest and southwest through this region results in frequent trans-mountain winds. The mountains are seen to have a major effect on airflow in the lowest 2000 m above sea level, with clear evidence of orographic blocking and barrier wind development. Some variability in the extent of this blocking was noted during 1994, which appeared to be associated with changes in the synoptic circulation and air mass characteristics. The frequent occurrence of southwesterly winds between 300 m and 2000 m indicates significant deflection of the predominant winds to follow the southwest-northeast orientation of the mountains. These southwesterly barrier winds occur in opposition to the apparent pressure gradient. Northeasterly barrier winds occur mainly below 300 m, and represent a down-gradient, localised flow that is frequently separated from overlying northwesterly gradient winds by a transitional layer, within which the wind backs with height. The controls of the extent of orographic blocking are only assessed superficially, due to the lack of good thermodynamic data upstream of the mountains, although a combination of wind speed and atmospheric stability is obviously important. These initial results provide a useful insight into the extent of orographic effects on regional windfields, which will serve as the basis for future observational and modelling studies. Received June 11, 1998 Revised April 16, 1999     

THE CHARACTERISTICS OF HIGH WIND DISTRIBUTION IN CHINA'S COASTAL REGION AND THEIR CAUSES

This work investigates the distribution of high winds above Beaufort scale 6 in the offshore zones of China using high-resolution satellite measurements.A numerical experiment is carried out in order to find out the effects of Taiwan Island on the formation of strong winds.The analysis indicates that the distribution of high wind occurrence is similar to that of the average wind velocity in winter.High winds tend to be anchored in special topographical regions,such as the Taiwan Strait,the Bashi Channel and the southeast coast of Vietnam.High winds occur much more frequently over the warmer than the colder flank of Kuroshio front as it meanders from Taiwan to Japan.The frequency of high winds decreases drastically in spring.The Taiwan Strait maintains the largest high wind occurrence.Besides,high winds remain frequent in the Bashi Channel,the southeast tip of Taiwan Island and the warmer flank of Kuroshio front.In summer,high winds generally occur infrequently except over a broad region off the southeast coast of Vietnam near 10°N and the frequency there decreases from southwest to northeast.High winds around Taiwan Island present near axisymmetric distribution with larger frequency along southeast-northwest direction and smaller frequency along southwest-northeast direction.The dominant direction of high winds exhibits a counterclockwise circulation surrounding the island.The frequency of high winds increases rapidly in autumn and almost repeats the distribution that appears in winter.The simulation results suggest that the effects of Taiwan Island topography on high winds vary with seasons.In winter,topography is the major cause of high winds in the surrounding oceanic zones.High winds in both Taiwan Strait and the southeast corner of the island disappear and the frequency decreases gradually from south to north when the terrain is removed.However,in summer,high wind frequency derived from two simulations with and without terrain is almost identical.We attribute this phenomenon to the factors which are responsible for the formation of high winds.     

Intercomparison of Oceansat-2 and ASCAT Winds with In Situ Buoy Observations and Short-Term Numerical Forecasts

Sea surface winds from the Oceansat-2 scatterometer (OSCAT) are important inputs to Numerical Weather Prediction (NWP) models. The Indian Space Research Organization (ISRO) recently updated the OSCAT retrieval algorithm in order to generate better products. An attempt has been made in this study to evaluate the updated OSCAT winds using buoy observations and the 6-hour short-term forecasts from the T574L64 model from the National Centre for Medium Range Weather Forecasting (NCMRWF) during the 2011 monsoon. The results of the OSCAT evaluation are also compared with those from the Advanced Scatterometer (ASCAT) on-board the Meteorological Operational Satellite-A (MetOp-A) which were evaluated in the same way. The root mean square differences (RMSDs) for wind speed and direction, are within 2?m?s^?1 and 20° for both scatterometers. The RMSDs for OSCAT are slightly higher than those for ASCAT, and this difference may be attributed in part to the difference in frequency and resolution of the scatterometer payloads. The bias and standard deviation for ASCAT winds are also lower than those for OSCAT winds with respect to the model short-range forecast, and this can be attributed to the regular assimilation of ASCAT winds in the model.     

Long-Term Variability of the Wind Field over the Indian Ocean Based on ERA-Interim Reanalysis

A detailed study of long-term variability of winds using 30 years of data from the European Centre for Medium-range Weather Forecasts global reanalysis (ERA-Interim) over the Indian Ocean has been carried out by partitioning the Indian Ocean into six zones based on local wind extrema. The trend of mean annual wind speed averaged over each zone shows a significant increase in the equatorial region, the Southern Ocean, and the southern part of the trade winds. This indicates that the Southern Ocean winds and the southeast trade winds are becoming stronger. However, the trend for the Bay of Bengal is negative, which might be caused by a weakening of the monsoon winds and northeast trade winds. Maximum interannual variability occurs in the Arabian Sea due to monsoon activity; a minimum is observed in the subtropical region because of the divergence of winds. Wind speed variations in all zones are weakly correlated with the Dipole Mode Index (DMI). However, the equatorial Indian Ocean, the southern part of the trade winds, and subtropical zones show a relatively strong positive correlation with the Southern Oscillation Index (SOI), indicating that the SOI has a zonal influence on wind speed in the Indian Ocean. Monsoon winds have a decreasing trend in the northern Indian Ocean, indicating monsoon weakening, and an increasing trend in the equatorial region because of enhancement of the westerlies. The negative trend observed during the non-monsoon period could be a result of weakening of the northeast trade winds over the past few decades. The mean flux of kinetic energy of wind (FKEW) reaches a minimum of about 100?W?m^?2 in the equatorial region and a maximum of about 1500?W?m^?2 in the Southern Ocean. The seasonal variability of FKEW is large, about 1600?W?m^?2, along the coast of Somalia in the northern Indian Ocean. The maximum monthly variability of the FKEW field averaged over each zone occurs during boreal summer. During the onset and withdrawal of monsoon, FKEW is as low as 50?W?m^?2. The Southern Ocean has a large variation of about 1280?W?m^?2 because of strong westerlies throughout the year.     

Climatological features of glacier and valley winds at the Hintereisferner (Ötztal Alps,Austria)

Summary Homogeneous wind measurements during summer 1971 and the 2 years 1977/78 were analysed at 3 sites of Hintereisferner (HEF) which is a valley-type glacier of 9 km length and northeasterly exposition in the Austrian Ötztal Alps. Some manifestations of glacier winds were found to verify a mesoscale circulation driven by gravity and differential heating of the air above ice surfaces and their ice free moraine surroundings. Modifications are mainly due to local topography and gradient winds.Throughout the year the wind regime at the glacier, esp. at the tongue, is clearly dominated by downsloping winds, reflecting the great potential of snow and ice areas in generating cold air downflow. Undisturbed glacier winds were found to occur most likely on sunny days with weak upper air winds. An influence of katabatic winds down from surrounding moraine slopes is indicated during night time hours. During sunlit hours the occurrence and strength of glacier winds is clearly correlated to the seasonal and daily solar cycle. The development of a regular diurnal variation of wind speeds with a single maximum about 5 m/s during afternoon hours is typical for the glacial wind regime and is most pronounced during the melting season. The observed wind speeds correspond with the diurnal development of vertical and horizontal temperature gradients of the air above the glacier.Clear day northerly winds penetrate most frequently in spring and autumn as far as to the tongue of HEF and are likely to represent thermally driven upvalley winds. They characterize fine weather in alpine valleys, when even signs of a local slope circulation above excessively heated moraine surfaces are indicated too.With 14 Figures     

A comparison of satellite winds and surface buoy winds in the northeast Pacific: Research note

Abstract

Cloud‐motion winds measured from organized and disorganized cumulus cloud fields are compared with winds measured at collocated buoys in the northeast Pacific Ocean. Findings suggest that an automated tracking algorithm using GOES satellite imagery can measure cloud‐level winds at these latitudes. Comparisons with buoy wind measurements show that the influence of boundary‐layer stability should be included in estimates of surface winds from cloud‐motion data.     

A model for computing small-scale wind variations over a water surface

Based on the primitive equations, a one-level model is described for computing surface winds under the meso-scale influences of orography, friction and heating. The effects of atmospheric stability and land-water contrasts are examined in detail. Results of testing the model with data collected during the International Field Year for the Great Lakes (IFYGL) in 1972 are given. The model is able to simulate land and lake breezes as well as meso-scale effects due to gradients in surface water temperature. Compared to simple methods of computing surface winds, use of the model reduces the vector error in estimates of surface winds by about 1.25 m s^–1 on the average.     

Assimilation of the multisatellite data into the WRF model for track and intensity simulation of the Indian Ocean tropical cyclones

Weather Research and Forecasting (WRF-ARW) model and its three-dimensional variational data assimilation (3D-Var) system are used to investigate the impact of the Quick Scatterometer (QuikSCAT) near surface winds, Special Sensor Microwave/Imager (SSM/I)-derived Total Precipitable Water (TPW), and Meteosat-7-derived Atmospheric Motion Vectors (AMVs) on the track and intensity prediction of tropical cyclones over the North Indian Ocean. The case of tropical cyclone, Gonu (June 2007; Arabian Sea), is first tested and the results show significant improvements particularly due to the assimilation of QuikSCAT winds. Three other cases, cyclone Mala (April 2006; Bay of Bengal), Orissa super cyclone (October 1999; Bay of Bengal), and Very Severe Cyclonic storm (October 1999; Bay of Bengal), are then examined. The prediction of cyclone tracks improved significantly with the assimilation of QuikSCAT winds. The track improvement resulted from the relocation of the initial cyclonic vortices after the assimilation of QuikSCAT wind vectors. After the assimilation of QuikSCAT winds, the mean (for four cyclone cases) track errors for first, second, and third day forecasts are reduced to 72, 101, and 166?km, respectively, from 190, 250, and 381?km of control (without QuikSCAT winds) runs. The assimilation of QuikSCAT winds also shows positive impact on the intensity (in terms of maximum surface level winds) prediction particularly for those cyclones, which are at their initial stages of the developments at the time of data assimilation. The assimilation of SSM/I TPW has significant influence (negative and positive) on the cyclone track. In three of the four cases, the assimilation of the SSM/I TPW resulted in drying of lower troposphere over cyclonic region. This decrease of moisture in TPW assimilation experiment resulted in reduction of cyclonic intensity. In three of the four cyclones, the assimilation of Meteosat-7 AMVs shows negative impact on the track prediction.     

Local Winds In A Valley City

Local winds were studied around a valley city, by using a high resolution two-dimensional mesoscale model forced by surface temperatures from a measurement campaign around Lanzhou City, China, during stagnant conditions. In the simulations nighttime winds are purely katabatic downslope winds without urban effects, despite the fact that the city is 6–7°C warmer than its surroundings all night. In contrast, daytime near-surface winds result from upslope flow resisted by an opposing simultaneous urban heat-island circulation (UHIC). Hence winds remain weak and variable around a city in a narrow valley during daytime. These conditions may lead to severe air quality problems day and night.The local circulations are sensitive to the widths of the valley and/or city,and also latitude, as is demonstrated by model experiments. Interestingly, in a flat and calm environment an extratropical daytime UHIC cell may turn into a weak `anti-UHIC' by the morning, due to frictional decoupling after sunset and subsequent inertial oscillation during the night, analogously tothe land breeze and nocturnal low-level jet formation.     

双雷达风场反演拼图在登陆台风“莫兰蒂”(1614)强降水精细预报中的同化应用试验

利用福建龙岩、漳州、泉州新一代多普勒天气雷达和厦门海沧双偏振雷达探测资料,采用动态地球坐标系下双雷达三维风场反演与拼图技术,基于天气研究和预报模式（Weather Research and Forecasting,WRF）及其资料同化系统,对登陆台风“莫兰蒂”（1614）引起的2016年9月14—15日福建强降水过程进行了双雷达风场反演拼图资料检验及其三维变分同化对强降水精细预报影响的数值试验,结果发现:（1）动态地球坐标系下双雷达反演风场能合理反映实际风场分布状况,其误差相对较小。相较厦门翔安风廓线雷达及厦门探空秒级测风数据,反演风风向（风速）平均绝对误差分别为7.8°（2.6 m/s）及3.4°（1.1 m/s）;（2）反演风场水平方向稀疏化对同化及预报结果极为重要,过密的反演风场资料会给同化及预报结果带来负效果。文中采用18、6、2 km 3重嵌套,在3重嵌套区域均进行同化以及仅在2 km区域进行同化两种情况下,均表现为当反演风场资料水平分辨率提高到0.1°时,同化分析及预报的台风环流开始受到负影响;且当反演风场资料水平分辨率越高时,负效果越明显。敏感性试验结果显示,分辨率取0.2°时数值预报效果最好;（3）以美国国家环境预报中心全球预报系统（National Centers for Environmental Prediction/Global Forecast System,NCEP/GFS）0.5°×0.5°分析场为初值,基于3个不同起报时刻（2016年9月14日14时、20时及15日02时）（北京时,下同）模拟的福建省境内台风内核雨带和螺旋雨带逐时演变、台风路径与强度、逐时降水TS评分和空间相关差异显著,其中14日14时起报试验效果最好;而14日20时起报试验效果最差,这与该试验初始台风大风轴风速明显偏大有关;（4）在上述3个不同起报时刻试验基础上,分别增加双雷达反演风场资料的三维变分同化后,福建境内地面风场和台风内核雨带、螺旋雨带逐时分布、逐时降水TS评分和空间相关、台风环流结构以及U、V风垂直廓线分布均有明显改善,最大正影响时效可达24 h;但仅对1—6 h时效内台风路径有改善。      

CYGNSS海表风场观测数据验证及其可能的应用

海表面风场可以用于获取许多大气和海洋现象的信号,高质量、高时空分辨率的海表面风场数据产品将有利于海洋-大气动力过程的研究.本文使用全球热带系泊浮标阵列计划（Global Tropical Moored Array Programs）的锚定浮标风场数据和西沙通量塔气象观测资料验证了Cyclone Global Navigation Satellite System （CYGNSS）的35°N~35°S海面遥感风场观测数据.结果表明,CYGNSS海表面风场与实测资料存在着2.17 m/s左右的平均均方根误差（RMSD）,它可能源于观测数据和卫星遥感资料的观测误差,以及两者在空间和时间上未严格匹配而引起的代表性误差.另外,CYGNSS海表面风速的时间演变与实测资料非常一致,展现了CYGNSS在研究海洋-大气能量和动量交换过程方面的潜在应用价值.本文使用Madden-Julian Oscillation （MJO）和赤道东部印度洋上升流事件作为两个个例,说明了CYGNSS海表面风场资料的潜在应用价值.     

利用折射指数推算大气纬圈平均风场方法

鉴于地转风、梯度风和平衡风各自计算风场的特点,该文利用COSMIC掩星折射指数资料,根据大气折射指数与大气密度、风场之间的关系,选用梯度风方程,建立了推算20~60 km中层大气纬圈平均风场的方法,分别与ECMWF提供的ERA-interim及NASA/GMAO提供的MERRA再分析风场资料对比验证。选用2007年1,4,7月和10月的COSMIC掩星折射指数数据,按照构建的方法计算了大气纬圈平均风场,并简单分析了大气纬圈平均纬向风随纬度、高度的变化特征及规律。计算风场与ECMWF及MERRA再分析风场资料变化规律基本一致,符合效果很好, 能够正确反映出纬向平均风场特性。1月及7月不同高度标准偏差、最大偏差随高度增加而增大,标准偏差最大约为6 m/s,最大偏差不超过11 m/s,沿纬度方向相关系数有减小的趋势,但不低于0.98,4月及10月偏差稍小,最大偏差不超过8 m/s。结果表明:利用COSMIC掩星折射指数资料通过梯度风方程计算风场,是获取中层大气20~60 km纬圈平均风场的一种有效方法。