Decoupling of temporal/spatial broadening effects in Doppler wind LiDAR by 2D spectral analysis

Pulse echo accumulation is commonly employed in coherent Doppler wind LiDAR(light detection and ranging)under the assumption of steady wind.Here,the measured spectral data are analyzed in the time dimension and frequency dimension to cope with the temporal wind shear and achieve the optimal accumulation time.A hardware-efficient algorithm combining the interpolation and cross-correlation is used to enhance the wind retrieval accuracy by reducing the frequency sampling interval and then reduce the spectral width calculation error.Moreover,the temporal broadening effect and spatial broadening effect are decoupled according to the strategy we developed.

Theoretical description of improving measurement accuracy for incoherence Mie Doppler wind lidar

For the nonlinearity of Fabry-Perot interferometer（FPI） transmission spectrum,the measurement uncertainty of incoherent Mie Doppler wind lidar based on it increases evidently with the increase of backscattering signal Doppler shift.A method of repeating the use of the approximate linear part of FPI transmission spectra for reducing the high uncertainty of a big Doppler shift is proposed.One of the ways of realizing this method is discussed in detail,in which the characteristics of FPI transmission spectrum changing with thickness and incident angle are utilized simultaneously.Under different atmosphere conditions,it has been proved theoretically that the range of measurement uncertainty drops to one-sixth while its minimum has no serious change.This method can be used not only to guide the new system design,but also as a new working way for the fabricated system.

An Improved Method for Doppler Wind and Thermo dynamic Retrievals

A variational method is developed to retrieve winds in the first step and then thermodynamic fields in the second step from Doppler radar observations. In the first step, wind fields are retrieved at two time levels: the beginning and ending times of the data assimilation period, simultaneously from two successive volume scans by using the weak form constraints provided by the mass continuity and vorticity equations. As the retrieved wind fields are expressed by Legendre polynomial expansions at the beginning and ending times, the time tendency term in the vorticity equation can be conveniently formulated, and the retrieved winds can be compared with the radar observed radial winds in the cost function at the precise time and position of each radar beam. In the second step, the perturbation pressure and temperature fields at the middle time are then derived from the retrieved wind fields and the velocity time tendency by using the weak form constraints provided by the three momentum equations. The merits of the new method are demonstrated by numerical experiments with simulated radar observations and compared with the traditional least squares methods which consider neither the precise observation times and positions nor the velocity time tendency. The new method is also applied to real radar data for a heavy rainfall event during the 2001 Meiyu season in China.

Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar

Although coherent Doppler wind lidar(CDWL)is promising in detecting boundary layer height(BLH),differences between BLH results are observed when different CDWL measurements are used as tracers.Here,a robust solution for BLH detections with CDWL is proposed and demonstrated:mixed layer height(MLH)is retrieved best from turbulent kinetic energy dissipation rate(TKEDR),while stable boundary layer height(SBLH)and residual layer height(RLH)can be retrieved from carrier-to-noise ratio(CNR).To study the cause of the BLH differences,an intercomparison experiment is designed with two identical CDWLs,where only one is equipped with a stability control subsystem.During the experiment,it is found that the CNR could be distorted by instrument instability because the coupling efficiency from free-space to the polarization-maintaining fiber of the telescope is sensitive to the surrounding environment.In the ML,a bias up to 2.13 km of the MLH from CNR is found,which is caused by the CNR deviation.In contrast,the MLH from TKEDR is robust as long as the accuracy of wind is guaranteed.In the SBL(RL),the CNR is found capable to retrieve SBLH and RLH simultaneously and robustly.This solution is tested during an observation period over one month.Statistical analysis shows that the root-mean-square errors(RMSE)in the MLH,SBLH,and RLH are 0.28 km,0.23 km,and 0.24 km,respectively.

Rlationship between the aerosol scattering ratio and temperature of atmosphere and the sensitivity of a Doppler wind lidar with iodine filter

The sensitivity of Doppler wind lidar is an important parameter which affects the performance of Doppler wind lidar. Aerosol scattering ratio, atmospheric temperature, and wind speed obviously affect the measurement of Doppler wind lidar with iodine filter. We discuss about the relationship between the measurement sensitivity and the above atmospheric parameters. The numerical relationship between them is given through the theoretical simulation and calculation.

A mobile incoherent Mie-Rayleigh Doppler wind lidar with a single frequency and tunable operation of an injection Nd︰YAG laser

A mobile incoherent Doppler lidar system has been experimentally demonstrated to be able to transmit reliable single frequency operation laser pulse, even after truck transit and in very high vibration environments. The linewidth of the injection-seeded pulse Nd:YAG laser can be measured by means of an I2 molecular filter. And, lidar validation experiments demonstrated the feasibility and capability of measuring wind field by the Mie-Rayleigh Doppler wind lidar. The un-certainty of measured wind speed is 0.985m/s in the altitude range from 2 to 4 km.

A Basis for Improving Numerical Forecasting in the Gulf Area by Assimilating Doppler Radar Radial Winds

An approach to assimilate Doppler radar radial winds into a high resolution Numerical Weather Prediction (NWP) model using 3D-Var system is described. We discuss the types of errors that occur in radar radial winds. Some related problems such as nonlinearity and sensitivity of the forecast to possible small errors in initial conditions, random observation errors, and the background states are also considered. The technique can be used to improve the model forecasts, in the Gulf area, at the local scale and under high aerosol (dust/sand/pollution) conditions.

A Model Study of Three-Dimensional Wind Field Analysis from Dual-Doppler Radar Data

A three-dimensional wind field analysis sollware based on the Beigng-Gucheng dual-Doppler weather radar system has been built, and evaluated by using the numerical cloud model producing storm flow and hydrometeor fields. The effects of observation noise and the spatial distribution of wind field analysis error are also investigated.

QUALITY CONTROL OF SINGLE DOPPLER RADAR DATA AND RETRIEVAL OF HORIZONTAL WIND FOR A LANDING TYPHOON

The removal of noise and velocity ambiguity and retrieval and verification of horizontal wind field is a prerequisite to make the best and fullest use of Doppler radar measurements. This approach was applied to the Doppler radar data collected during August 2005 for a landing typhoon Matsa (0509) in Yantai, Shangdong Province, and the verified result shows that the quality control for this dataset was successful. The horizontal wind field was retrieved and then verified by studying the characteristics of the radar radial velocity and large-scale wind field and the vertical cross section of the radial velocity determined with the typhoon center as the circle center and comparing it with satellite imagery. The results show that the meso- and small-scale systems in Matsa and its horizontal and vertical structure could be clearly retrieved using the dataset collected by single Doppler radar, and a shear or a convergence was corresponding with a band of severe storm around Matsa. At the same time, the retrieved wind field from single Doppler radar is proved to be a reliable and high-resolution dataset in analyzing the inner meso-scale structure of Matsa. It is also proved that the method for removing the velocity ambiguity could be an effective approach for preliminary quality control of the Doppler radar data, and the VAP method could also be a reasonable solution for the analysis of mesoscale wind field.

The Application of Sea-Surface Wind Detection with Doppler Lidar in Olympic Sailing

The mobile incoherent Doppler lidar （MIDL）, which was jointly developed by State Key Laboratory of Severe Weather （LaSW） of the Chinese Academy of Meteorological Sciences （CAMS） and Ocean University of China, provided meteorological services during the Olympic sailing events in Qingdao in 2008. In this study, two experiments were performed based on these measurements. First, the capabilities of MIDL detection of sea-surface winds were investigated by comparing its radial velocities with those from a sea buoy. MIDL radial velocity was almost consistent with sea-buoy data; both reflected the changes in wind with time. However, the MIDL data was 0.5 m s-1 lower on average than the sea-buoy data due to differences in detection principle, sample volume, sample interval, spatial and temporal resolution. Second, the wind fields during the Olympic sailing events were calculated using a four-dimensional variation data assimilation （4DVAR） algorithm and were evaluated by comparing them with data from a sea buoy. The results show that the calculations made with the 4DVAR wind retrieval method are able to simulate the fine retrieval of sea-surface wind data--the retrieved wind fields were consistent with those of sea-buoy data. Overall, the correlation coefficient of wind direction was 0.93, and the correlation coefficient of wind speed was 0.70. The distribution of retrieval wind fields was consistent with that of MIDL radial velocity; the root-mean-square error between them had an average of only 1.52 m s-1^.

Correction of temperature influence on the wind retrieval from a mobile Rayleigh Doppler lidar

A mobile Rayleigh Doppler lidar based on double-edge technique is implemented for simultaneously observing wind and temperature at heights of 15 km-60 km away from ground.Before the inversion of the Doppler shift due to wind,the Rayleigh response function should be calculated,which is a convolution of the laser spectrum,Rayleigh backscattering function,and the transmission function of the Fabry-Perot interferometer used as the frequency discriminator in the lidar.An analysis of the influence of the temperature on the accuracy of the Une-of-sight winds shows that real-time temperature profiles are needed because the bandwidth of the Rayleigh backscattering function is temperature-dependent.An integration method is employed in the inversion of the temperature,where the convergence of this method and the high signal-to-noise ratio below 60 km ensure the accuracy and precision of the temperature profiles inverted.Then,real-time and on-site temperature profiles are applied to correct the wind instead of using temperature profiles from a numerical prediction system or atmosphere model.The corrected wind profiles show satisfactory agreement with the wind profiles acquired from radiosondes,proving the reliability of the method.

WIND SHEAR IDENTIFICATION WITH THE RETRIEVED WIND OF DOPPLER WEATHER RADAR

Wind shear reflects that the wind field is not uniform, which is one of the primary factors which make the retrieval of the wind field difficult. Based on volume velocity process(VVP) wind field retrieval technique, the intensity of wind shear is identified in this paper. After analyzing the traditional techniques that rely on the difference of radial velocity to identify wind shear, a fixed difference among radial velocities that may cause false identification in a uniform wind field was found. Because of the non-uniformity in wind shear areas, the difference of retrieved results between surrounding analysis volumes can be used as a measurement to show how strong the wind shear is. According to the analysis of a severe convective weather process that occurred in Guangzhou, it can be found that the areas of wind shear appeared with the strength significantly larger than in other regions and the magnitude generally larger than4.5 m/(s·km). Besides, by comparing the variation of wind shear strength during the convection, it can be found that new cells will be more likely to generate when the strength is above 3.0 m/(s·km). Therefore, the analysis of strong wind shear's movement and development is helpful to forecasting severe convections.

GNSS海洋反射信号接收机设计与分析

针对全球导航定位系统(global navigation satellite system,GNSS)海洋反射信号遥感技术的需求,文章设计了一种GNSS海洋反射信号接收机,用以对GNSS直射信号和反射信号进行接收。多普勒延迟映射结构是GNSS海洋反射信号接收机中的关键部件,采用直射信号通道闭环、反射信号通道开环的方式,反射信号通道利用直射信号通道获得的扩频码和多普勒频率,在半个C/A码片时间内进行相关积分,得到反射信号的相关峰波形。由于海面反射的GNSS信号是多个不同反射信号的集合,合成码的相关波形和直射信号不同,其位置和形状包含了海洋学参数信息,通过此相关函数波形即可解算出海面风场信息。GNSS海洋反射信号接收机技术可以为海洋环境监测、基础测绘、灾害监测等领域提供技术支持。

新型多普勒测风激光雷达Windcube的风参数观测与验证

2007年12月11～14日,中国科学院大气物理研究所与法国Leosphere公司在该研究所位于北京市北三环和北四环之间的325m气象塔试验场内联合开展了一次测风激光雷达Windcube的外场演示试验。Wind-cube观测数据随后与325m气象塔上的风杯风速仪测得的风速资料进行了对比,结果是:由两种手段获得的所有6层匹配高度(63m、80m、100m、120m、160m和200m)上的10min风速平均值一致性很好,相关系数都达到或超过0.98。使用矢量法对6层高度上的风向资料进行平均,得到风向的10min平均值,两者的相关系数均达到0.99。与国产测量低层大气风廓线的高精度多普勒激光雷达相比,Windcube的风速测量精度稍优,风向表现相当。验证结果表明,该型多普勒测风激光雷达是一款观测结果可靠、机动性能良好的低层大气风廓线测量仪器。

单Doppler雷达IVAP风场反演试验

单Doppler雷达风场反演技术对于扩大Doppler雷达在中尺度气象监测和预报中的应用范围具有重要的作用。通过采用“给定方位角内风场均匀假定”提出积分速度—方位处理技术IVAP(IntegratingVelocity-AzimuthProcessing),克服了VAP技术在单多普勒雷达风场反演中对Doppler速度小尺度脉动过分敏感的缺点,及VAD(Velocity-AzimuthDisplay,速度-方位显示)技术只能反演平均风矢量问题。利用2001-08-05上海特大暴雨时虹桥机场Doppler雷达速度资料进行中尺度风场反演试验。对均匀风方位角区间分别取9°,18°,45°和90°的反演结果的比较表明,采用较小的方位角区间可以反演出与这次暴雨有关的气旋式环流和中尺度辐合线。利用地面站实测风记录及风廓线数据对IVAP反演风的质量进行了评估。结果表明,反演风的风向和地面实测风的风向有很好的相关性,反演方位角区间越大,相关性越好。与20个时次同高度上风廓线仪探测的风速数据的对比表明,IVAP技术反演出的风速和它们也有很好的相关性,两者u、v分量均方误差在2m/s左右。由于IVAP技术风场反演无需事先对Doppler雷达原始的速度资料进行人为的滤波或平滑处理,所以具有较强的客观性,便于在气象雷达预报业务中应用。

一种基于多普勒原理的相干测风激光雷达及其外场应用

精确观测大气风场在气象、军事、航空航天等领域具有十分重要的意义。相干测风激光雷达能够实时有效地进行大气矢量风场探测。为此研制出一款基于多普勒原理的相干测风激光雷达,并进行外场观测验证了其性能。该系统可探测垂直上空45~3000m的水平风场以及垂直气流,最大可探测风速为60m/s。分析比对了该雷达于2021年10月16日08:00―20日00:00在广州市黄埔区气象局观测的数据与同时段同地点微波风廓线雷达的观测数据,结果表明二者具有良好的一致性。重点分析了2021年10月18日10:00―20日00:00的典型观测数据,进一步验证了该相干测风激光雷达所测数据的准确性。该雷达在风场探测上的应用将为气象参数监测和预报精度的提高以及极端灾害性天气的预警提供实时数据支撑。

由单Doppler雷达资料反演水平风场的简单共轭函数方法的改进方案

该文改进了Ｑｉｕ和Ｘｕ（１９９２）提出的由单个Ｄｏｐｐｌｅｒ雷达探测的资料反演水平风场的简单共轭（ｓｉｍｐｌｅａｄｊｏｉｎｔ）函数方法．其基本做法是将控制方程中的状态变量改用其时间距平量代替，并加入—待反演的方程误差项．利用１９８８年夏季在美国丹佛机场所作的一次下击暴流的双Ｄｏｐｐｌｅｒ雷达观测试验资料对新方法作了检验，结果表明其对反演结果的改善是显著的．

基于激光雷达观测的呼伦贝尔一次沙尘过程分析

基于测风激光雷达和地面常规观测资料,借助机器学习算法以及HYSPLIT(Hybrid Single-Particle LagrangianIntegrated Trajectory)模型分析了发生在呼伦贝尔的一次典型的沙尘天气过程。研究表明,本次沙尘起始时南风突增,风向转西南偏南风后风速降低,传输减弱,当风向转西风时,沙尘传输增强,在西风降低后沙尘传输结束。沙尘传输期间,湍流运动偏弱,混合层高度抬升受限。借助机器学习分粒径计算发现,沙尘前期传输以粗颗粒为主,后期粗、细颗粒物均有明显增长。不同传输时期粒径的不同,暗示沙尘的源可能发生变化,后向轨迹揭示沙尘传输前期来自蒙古国西北部,经过我国锡林郭勒后北上到达呼伦贝尔;而后期沙尘是从俄罗斯南部直接进入呼伦贝尔。最后研究发现,沙尘前至起始时刻,总传输通量对沙尘的响应早于地面颗粒物浓度变化,且沙尘期间总传输通量值显著高于沙尘前和沙尘后。因此,总传输通量变化以及阈值设定可为沙尘预警的新参考指标。

一次典型超级单体降雹的Doppler雷达资料分析(英文)

Based on basic reflectivity of Doppler radar,radial velocity and wind shear result calculated via radial velocity,a typical supercell hailstorm was analyzed.It was found that strong echo appeared in the middle level of volume scan during the beginning of storm and the converging radial wind indicated the increasing echo;with the development of storm,the converging radial wind increased gradually and tended to extend vertically,which reveals that the influx of warm and damp air provides enough vapor and heat.In the fastigium of storm,bounded weak echo region and V-shape gap can be observed;moreover,there was a mesocyclone in the radial velocity field.Vertical shear reflected environment field that wind rotated in clockwise with the increase of height,warm and damp influx at low altitude,the dry and cold air diverging at high altitude and the spatial distribution of ascending air flow at the middle level;during the dispersing of storm,the divergence of radial wind transformed to lower level gradually and its convergence reduced with strong echo disappeared.

基于探空数据的测风激光雷达在黄海西部海岸带的适用性分析

利用2021年4月至2022年12月期间位于黄海西部海岸带青岛国家基本气象站观测场内的多普勒测风激光雷达和L波段气球探空系统(以下简称L波段探空,Lradar),经过观测数据时间和空间相互匹配,以L波段探空测风数据为参照标准,对测风激光雷达探测高度、水平风速和水平风向的探测能力进行对比分析,结果表明:最大探测高度日变化特征与边界层高度日变化较为吻合,每日09:00探测高度最低约1 000 m,17:00则达到探测高度的峰值约1 300 m。在筛选出的共计1 768次二者共同观测时刻中,超过90%测风激光雷达最大观测高度低于2 000 m,不足500 m的时刻约占16%。二者水平风速和水平风向的线性拟合效果较好,相关系数分别高达0.97和0.98,其探测能力在海风和陆风时刻存在微小差异。测风激光雷达水平风速误差随高度和风速大小的变化存在差异,在500 m以下测风激光雷达平均风速明显大于L波段探空测得的平均风速,在500 m至1 500 m误差较小。在4级风及以下,风速误差分布较为集中;5到7级风,风速误差离散程度最大,离散值最多;8级风以上,离散误差明显减少。二者水平风向变化趋势具有较好的一致性,测风激光雷达风向误差以正值为主,即相较于L波段探空顺时针偏转。在低层以偏北和偏南风向为主,在西北(NW)、北西北(NNW)、正南(S)和南东南(SSE)方向上其频率小于L波段探空,在正北(N)、北东北(NNE)、南西南(SSW)和西南(SW)方向上大于L波段探空,高层开始转为偏西风向,在正西(W)方向频率明显大于L波段探空。以上结果表明,测风激光雷达可以较好地刻画出黄海西部海岸带边界层内的风场信息,为后续测风激光雷达在海岸带和海上观测的业务应用提供有效参考。