三维冰雹分档强对流云数值模式研究Ⅰ.模式建立及冰雹的循环增长机制

针对现行冰雹云参数化模式中假定冰雹谱服从特定的负指数分布，冰雹增长率依赖其加权平均末速度以及粒子间的数浓度转换不守衡等局限性，作者建立和发展了一个包括云滴、云冰、雨滴、雪团，霰和雹的云中主要水成物场及凝结、撞冻等37种主要微物理过程，可用于预测和研究三维强冰雹云降雹过程的冰雹分档模式，模式能够提供在雹云参数化模式中无法提供的关于冰雹增长与分布的信息。研究共分三部分：模式的建立及冰雹的循环增长机制；冰雹的分档分布特征；冰雹产生与增长的微物理过程。第一部分，通过建立模式及模拟一个多单体风暴个例，对多单体中冰雹的增长机制进行了数值模拟研究。     

NUMERICAL SIMULATION STUDY OF HAIL CLOUD—PART Ⅰ:THE NUMERICAL MODEL

In order to study mechanisms of hailstone formation and hail suppression with seeding and toobtain optimum seeding technique for hail cloud,a 3-D compressive numerical seeding model forhail cloud is developed.The water substance in hail cloud is divided into 8 categories,i.e.,watervapor,cloud droplet,raindrop,ice crystal,snow.graupel,frozen drop and hail,and the detailedmicrophysical processes are described in a spectrum with two variable parameters and morereasonable particle number/size distributions.Then,the model is able to predict concentration andwater content of various particles.Especially.it can calculate the number of hailstones whosecores are graupel or frozen drop and apply to study mechanism of hailstone formation.Additionally,a conservative equation of AgI as seeding or glacigenous agent is found andnucleation by condensation of artificial nucleus,and nucleation by freezing of cloud droplet or raindrop which contact with AgI particle are considered.The dynamic energy flux of hail shooting onground is used to verify seeding effect.Therefore the model is also used to study mechanism of hailsuppression with seeding and the seeding technique,     

NUMERICAL SIMULATION STUDY OF HAIL CLOUD-PART Ⅰ:THE NUMERICAL MODEL

In order to study mechanisms of hailstone formation and hail suppression with seeding and to obtain optimum seeding technique for hail cloud,a 3-D compressive numerical seeding model for hail cloud is developed.The water substance in hail cloud is divided into 8 categories,i.e.,water vapor,cloud droplet,raindrop,ice crystal,snow.graupel,frozen drop and hail,and the detailed microphysical processes are described in a spectrum with two variable parameters and more reasonable particle number/size distributions.Then,the model is able to predict concentration and water content of various particles.Especially.it can calculate the number of hailstones whose cores are graupel or frozen drop and apply to study mechanism of hailstone formation.Additionally,a conservative equation of AgI as seeding or glacigenous agent is found and nucleation by condensation of artificial nucleus,and nucleation by freezing of cloud droplet or rain drop which contact with AgI particle are considered.The dynamic energy flux of hail shooting on ground is used to verify seeding effect.Therefore the model is also used to study mechanism of hail suppression with seeding and the seeding technique.     

过冷雨水低含量条件下冰雹形成和增长机制及其催化效果的数值模拟

利用中国科学院大气物理研究所开发的三维全弹性冰雹云模式,对美国对流降水协作试验（CCOPE）期间观测的1981年8月1日雹云进行模拟,讨论在过冷雨水低含量条件下冰雹形成和增长机制及其碘化银催化效果。结果表明:(1) 自然云的模拟与观测事实一致,如最大上升气流速度、云顶高度、流场结构以及雹胚组成等。(2) 雹胚以霰为主,霰主要来自冰雪晶与过冷小水滴的碰冻,其次来自雪的积聚转化;霰、冻滴和冰雹在形成后主要靠碰并过冷云水增长。(3)人工催化试验表明,碘化银主要以凝华核（包括凝结－冻结）的作用产生大量的人工冰晶,加速了过冷水向冰晶的转化,过冷云水因而大量减少;催化后霰和冻滴的数浓度增大,对过冷云水的竞争增强,其平均尺度减小导致转化成雹的数量减少;冰雹碰冻过冷云水的增长在催化后也被削弱,导致冰雹总质量进一步减少。此外,催化后降雨量也显著减少。     

一次飑线过程的云微物理参数化方案数值试验及其成因分析

利用WRF模式6种适合高分辨率且包含多种固态水成物粒子的云微物理参数化方案,分别对2012年5月16日江苏北部一次飑线过程进行数值试验,结果表明:LIN方案模拟的飑线回波反射率、强降水TS评分、结构和强度等均要优于其余5种微物理参数化方案。分析不同参数化试验结果中不同水成物粒子占比随时间的变化特征,并针对LIN方案采取敏感性试验和水成物转化微物理过程分析指出,在此次飑线过程中的各水成物粒子中,霰/雹粒子占比最大,是降水过程中最重要的粒子;地面降水直接来源是雨水,雨水主要来源于中层霰/雹粒子的融化,小部分来源于云水的自动转化;中层霰/雹粒子最主要来源是通过雨霰转化过程中的雨水撞冻冰雹微物理过程,其次是霰撞冻云水的微物理过程,而冰相物质雪晶和云冰的碰并、撞冻和自动转化过程微乎其微。     

低过冷雨水含量天气过程冰雹形成机制及催化机理模拟1

利用三维全弹性冰雹云模式,对2008年5月24日山东境内一次受高空冷涡影响的大范围冰雹天气过程进行模拟,分析了冰雹的形成机制和催化防雹机理。结果表明:该过程过冷雨水中心位于最大上升气流中心下方,不存在过冷雨累积区,过冷雨水含量最大值仅为4.9gm^-3,但雹云中过冷雨水含量仍然丰富,对雹胚的形成及增长起着重要作用。雹胚以冻滴为主,冻滴胚来源于冰雪晶与过冷雨水碰撞冻结以及雨滴核化过程。冻滴形成后主要以碰并过冷雨水、云水增长。冻滴胚自动转化过程是冰雹数量、质量的主要来源;冰雹形成后,前期主要靠碰并冻滴、霰和过冷雨水增长,后期主要靠碰并过冷云水增长。催化试验表明,播撒57.5g催化剂足以通过"竞争"减雹50%以上,增加AgI剂量,防雹的同时能够兼顾增雨。催化剂用量为230g时,催化后液态降水有所增加,固态降水量及占总降水量的比例减少显著,特别是冰雹。AgI主要以凝华核的作用产生人工冰晶,冰晶凝华增长导致过冷云水、雨水含量降低。催化后雹胚特别是冻滴胚数量增多,对过冷云水、雨水的竞争增强;其平均尺度、质量的减小,降低了向冰雹的转化率。冰雹碰并过冷云水、雨水增长过程被减弱,导致冰雹总质量进一步减少,达到消雹目的。     

Parsivel~激光降水粒子谱仪及其在气象领域的应用

降水粒子特性是大气运动和云内微物理过程的综合结果,在云降水物理及人工影响天气领域有着重要的意义。传统的测量方法不适合对大量数据分析寻找规律,德国OTT公司的Parsivel激光降水粒子谱测量系统可以较好解决自动测量难题。该仪器是以激光测量为基础的粒子测量传感器,采用平行激光束和光电管阵列结合,当有降水粒子穿越采样空间时,自动记录遮挡物的宽度,通过穿越时间计算降水粒子的尺度和速度,根据各种参数的综合信息对降水粒子进行分类,并能够以数字形式显示瞬时降水强度、降水粒子总数、累积降水量、降水时的能见度和雷达反射因子,以图形方式显示降水粒子尺度谱、速度谱、降水粒子分类且自动生成天气现象代码,实现天气现象的自动识别。激光降水粒子谱仪主要用于气象水文观测。在雷达气象学领域可用于Z/R关系的拟合修正,比传统的用雨量筒观测数据拟合效果好得多;由降水粒子谱仪测量雨滴的降落速度,可以对天气雷达垂直向上测量的粒子径向速度谱进行校正。人工影响天气的效果检验一直是一个难题,自然降水粒子谱分布形式与人工催化以后的降水粒子谱型理论上应当具有较大的差别,人工增雨作业降水滴谱变化物理响应和降水强度时间变化响应都有明显的区别。如果能够实时检测到这些差别,就能够充分说明人工催化的有效性。未来如果能够进行联网观测记录区域性降水、降雹,就有充分证据表明人影作业的有效性,在定量化作业效果评估以及灾害损失评估等方面应用潜力巨大。利用该仪器已经对一年的自然降水过程进行了连续观测,并将所获得的降水粒子谱、雨滴浓度值随时间变化状况与卫星反演的云顶有效粒子半径时间变化趋势进行了对比,发现有较好的一致性。     

冰雹云中微物理过程研究

利用三维冰雹云模式通过实例模拟研究了云中冰相物理过程,结果表明,云中粒子产生有一源地,在雹云发展阶段早期,霰、冻滴,雹和雨水的极大产生率都位于6.0 km高度附近,这里是雹胚及冰雹形成的源区,从"利益竞争"概念出发,人工防雹的催化部位应在此高度附近;粒子产生高度与其源项发生高度及主要增长方式有关,粒子产生和增长过程在云的发展不同阶段也是不同的.在冰雹形成过程中,作为雹胚的霰和冻滴主要通过撞冻过冷水增长.撞冻增长占增长量的大部分,云中存在丰富的过冷水对冰雹胚胎和冰雹形成、增长都是十分重要的.在"冰晶-过冷水-雹胚-冰雹"这一链环中,没有过冷水参与很难形成强烈降雹.通过两例雹云的对比研究,发现若雹云云底温度降低和湿度增大,由于霰撞冻过冷水尤其是撞冻过冷云水增长量大幅度提高,霰的尺度加大,提高向冰雹的转化率,使霰胚数量大大增加.     

北京冬季降水粒子谱及其下落速度的分布特征

为了深入探讨北京冬季云降水的微物理特征,提高雷达反演冬季固态降水的精度和冬季降水的预报水平,利用PARSIVEL（Particle Size and Velocity）降水粒子谱仪所观测的冬季降水粒子谱,结合地面显微镜粒子图像和云雷达数据,对比分析了北京海坨山地区冬季过冷雨滴、霰粒、雪花、混合态降水的粒子谱和下落速度特征,得到主要结论如下:（1）霰粒降水过程的云顶最高,整层的含水量最大,低层的退偏振比（LDR）最小,粒子更接近于球形;降雪过程的云顶最低,云中含水量最少,低层的退偏振比较大;混合态降水过程的雷达回波强度和高度特征介于两者之间,但低层的退偏振比最大;（2）在云中上升或下沉气流及湍流的影响下,过冷雨滴、霰粒和雪的下落速度均对称分布于各自理论下落末速度曲线的两侧。因此可根据粒子浓度相对于其直径和速度分布的中轴线位置,判断出该段降水过程中的主要粒子形态;（3）冬季雪花、霰粒和混合态降水粒子下落速度分布的散度较雨滴更大,其原因是由于冷云降水过程的粒子形态复杂,且固态粒子下落过程中更容易受破碎、聚并和凇附等微物理过程影响;（4）在4种降水类型中,雪的平均直径和离散度最大,雨滴最小;混合态降水粒子的总数浓度最大,雨滴的总数浓度最低,并且4种降水类型的粒子数浓度、平均直径和离散度均随降水强度的增大而增大。      

三维冰雹云催化数值模式

为了研究冰雹形成机制、催化防雹机制和通过数值试验获得冰雹云优化催化技术,在以前工作的基础上,发展了一个３维弹性冰雹云催化数值模式。模式考虑了冰雹云中详细的微物理过程,各种粒子采用双变参数谱,将云中水物质分成水汽、云水、雨水、冰晶、雪、霰、冻滴和雹８类,可以预报粒子的比浓度和比含量,尤其可以计算以霰或冻滴为胚胎的雹块的数量,非常适合研究冰雹的形成机制。此外,建立了催化剂ＡｇＩ的守恒方程,考虑了人工冰核的凝华核化及与云、雨滴接触的冻结核化过程,并用地面降雹动能通量检验催化防雹效果,因此,也可以研究催化防雹机制和对雹云的催化技术。     

双线偏振多普勒天气雷达估测混合区降雨和降雹方法的理论研究

利用冰雹形状和空间取向的模型及降雹和降雨的滴谱分布,分析了C波段双线偏振雷达探测的降雨和冰雹的反射率因子ZH、差反射率因子ZDR和差传播相移KDp的取值范围,及混合区降水中不同大小的降雨降雹强度对这些参量的贡献.结果表明:对于C波段双线偏振雷达来讲,当降雹达到一定强度后,反射率因子反而随降雹强度的增大而减小,反射率因子和降雹强度不一定是一一对应关系,降雹的KDp与相态、空间取向和雹块的尺度均有关系.在混合性降水中,ZH的主要贡献来自冰雹,而KDp主要取决于降雨的大小,降雨和降雹对ZDR均有明显的影响,降雨的ZH和KDP有比较好的对应关系.在此基础上给出了利用ZH、ZDR和KDp定量估测相态混合区冰雹和降雨对应的反射率因子、降雨强度的方法,并从滴谱变化、雷达探测精度和冰雹对KDp的影响分析了这种方法的估测精度.     

Dominant cloud microphysical processes of a torrential rainfall event in Sichuan,China

High-resolution numerical simulation data of a rainstorm triggering debris flow in Sichuan Province of China simulated by the Weather Research and Forecasting (WRF) Model were used to study the dominant cloud microphysical processes of the torrential rainfall. The results showed that: (1) In the strong precipitation period, particle sizes of all hydrometeors increased, and mean-mass diameters of graupel increased the most significantly, as compared with those in the weak precipitation period; (2) The terminal velocity of raindrops was the strongest among all hydrometeors, followed by graupel’s, which was much smaller than that of raindrops. Differences between various hydrometeors’ terminal velocities in the strong precipitation period were larger than those in the weak precipitation period, which favored relative motion, collection interaction and transformation between the particles. Absolute terminal velocity values of raindrops and graupel were significantly greater than those of air upward velocity, and the stronger the precipitation was, the greater the differences between them were; (3) The orders of magnitudes of the various hydrometeors’ sources and sinks in the strong precipitation period were larger than those in the weak precipitation period, causing a difference in the intensity of precipitation. Water vapor, cloud water, raindrops, graupel and their exchange processes played a major role in the production of the torrential rainfall, and there were two main processes via which raindrops were generated: abundant water vapor condensed into cloud water and, on the one hand, accretion of cloud water by rain water formed rain water, while on the other hand, accretion of cloud water by graupel formed graupel, and then the melting of graupel formed rain water.     

不同云底温度雹云成雹机制及其引晶催化的数值研究

用二维准弹性冰雹云模式模拟了中国不同地区的冰雹云的成雹机制和人工引晶催化的效果,结果表明：强对流云中自然初始降水元的形成主要同云雨自动转化相关;云底温度较低的冰雹云的雹胚形成以云霰转化过程为主,暖云底的雹云则以雨霰转化为主。人工引晶的作用有三：（１）加强云中冰霰转化过程,雹胚过多争食防雹;（２）促进雨霰转化过程,使雹胚浓度增加,并且减少过冷雨滴,抑制冰雹碰冻过冷雨滴的增长;（３）使云的下部霰量增加,降低降水粒子的增长轨迹,阻碍霰雹的增长。多次催化有时比一次大剂量催化的防雹增雨效果好。     

Sensitivities of tornadogenesis to drop size distribution in a simulated subtropical supercell over eastern China

ABSTRACT Numerical simulations with the Advanced Regional Prediction System （ARPS） model were performed to investigate the impact of microphysical drop size distribution （DSD） on tornadogenesis in a subtropical supercell thunderstorm over Anhui Province, eastern China. Sensitivity experiments with different intercept parameters of rain, hail and snow DSDs in a Lin-type microphysics scheme were conducted. Results showed that rain and hail DSDs have a significant impact on the simulated storm both microphysically and dynamically. DSDs characterized by larger （smaller） intercepts have a smaller （larger） particle size and a lower （higher） mass-weighted mean fall velocity, and produce relatively stronger （weaker） and wider （narrower） cold pools through enhanced （reduced） rain evaporation and hail melting processes, which are then less favorable （favorable） for tornadogenesis. However, tornadogenesis will also be suppressed by the weakened mid-level mesocyclone when the cold pool is too weak. When compared to a U.S. Great Plain case, the two microphysical processes are more sensitive to DSD variations in the present case with a higher melting level and deeper warm layer. This suggests that DSD-related cloud microphysics has a stronger influence on tornadogenesis in supercells over the subtropics than the U.S. Great Plains.     

Numerical study on a severe downburst-producing thunderstorm on 23 August 2001 in Beijing

A thunderstorm that produced severe wind, heavy rain and hail on 23 August 2001 in Beijing was studied by a three-dimensional cloud model including hail-bin microphysics. This model can provide important information for hail size at the surface, which is not available in hail parameterization cloud models. The results shows that the cloud model, using hail-bin microphysics, could reasonably reflect the storm＇s characteristics such as life cycle, rainfall distribution and the diameter of the hailstones and also can reproduce developing processes of downbursts, where they can then be compared with the observed features of the storm. The downburst formation mechanism was investigated based on the cloud microphysics of the simulated storm and it was found that the downburst was primarily produced by hail-loading and enhanced by cooling processes that were due to hail melting and rain evaporation. The loading and melting of hail played crucial roles in the formation of downbursts within the storm.     

南京"03.7"大暴雨中云物理过程的数值模拟研究

利用三维全弹性、双参数化对流云模式和南京站探空资料,对南京“03．7”特大暴雨过程进行了数值模拟研究,着重分析产生这次大暴雨的云物理机制。模拟结果表明,此次暴雨属于积雨云降水,其中云雨碰并是最主要的成雨过程,贡献率达到74％,其次是霰／雹融化,占22％,说明此次降水以暖雨过程为主。通过暖雨过程对比试验表明,虽然冰相过程对雨水的贡献较小,但加入冰相过程能使模拟结果更接近云的实际情况。     

青海两次多单体降雹过程的雹谱分布特征

利用三维冰雹分档数值模式研究了1979年7月20日和8月5日青海西宁两次多单体降雹发生发展过程中云内微物理结构及雹谱演变特征。结果表明:1)云水、雨水的比含水量随雹云的发展呈先增长后减少的特点,两次个例的冰雹主要通过过冷雨滴冻结而形成,其增长方式是凝华及碰并过冷云水。2)雹谱谱宽与上升气流有关,个例一中倾斜上升气流有利于冰雹循环增长,雹谱较宽;个例二中没有倾斜上升气流,不利于冰雹循环增长,雹谱较窄。     

Cloud microphysical and precipitation responses to a large-scale forcing in the tropical deep convective regime

Summary Cloud microphysical and precipitation responses to a large-scale forcing in the tropical deep convective regime are investigated based on hourly zonally-averaged, vertically-integrated simulation data from a two-dimensional coupled ocean-cloud resolving atmosphere model. The model is forced by the large-scale vertical velocity and zonal wind observed and derived from TOGA COARE for a 50-day period. The accretion of cloud water by graupel induces growth of graupel that enhances raindrops through its melting during a weak-forcing period, whereas the large deposition rate of vapor associated with a large upper-tropospheric upward motion causes growth of snow from the conversion of cloud ice and enhancement of graupel from the accretion of snow during a strong-forcing period. The local changes of raindrops and graupel switch from the negative to positive values as the forcing strengthens in the weak-forcing case, whereas the variations of cloud hydrometeors are not sensitive to the strength of the forcing in the strong-forcing case. Phase analysis indicates that cloud water leads the surface rain rate by 1 hour. The surface rain rate can be calculated based on the conservation of vapor and cloud hydrometeors and the budget of raindrops. The vapor source and local changes of cloud hydrometeors could have impacts in the calculation of the surface rain rate. The vapor source determines the surface rain rate in the strong-forcing case whereas the cloud variations could become important in the weak-forcing case. In the budget of raindrops, the sum of the collection of cloud water by raindrops, the melting of graupel, and the evaporation of raindrops determines the surface rain rate in the strong-forcing case whereas the other rain-related microphysical processes become important in the weak-forcing case.     

北京一次大风和强降水天气过程形成机理的数值模拟

利用3维强风暴冰雹分档模式(IPA—HBM)对2001年8月23日北京的一次伴有大风、暴雨和冰雹的强对流天气过程进行模拟和分析，并与部分观测资料进行了比较分析。结果表明，该模式对此次强风暴的生命史、降水分布、降雹的大小等要素做了较好的模拟，并能够模拟出伴随强风暴过程所产生的强下沉气流和及地面强风速切变(下去暴流)。从云微物理学角度分析了此次局地性大风的形成原因，认为由高空冰雹粒子的拖曳产生的负浮力作用是促发强下沉气流产生的主要原因，其次是冰雹的融化和雨水蒸发冷却对下沉气流起加速作用，冰雹的拖曳和融化作用对下沉气流具有决定性作用。强风暴所产生的爆发性强下沉气流最终导致了局地大风的形成。