Numerical study of the cloud seeding effects

The microphysical model with the bulk water parameterization is applied to simulated both contact and deposition nucleation as well as the imersion freezing for unseeded cases and the cases immediately after seeding performed for the cold continental Cb clouds with small cloud droplets. The injection of agent AgI is performed in temperature region between –8°C and –12°C. The four groups of sensitivity experiments are executed.

一次降雹过程的AgI系列催化模拟研究

云数值模拟是研究降雹过程和人工防雹试验的重要手段。利用三维冰雹云AgI催化模式,对北京1996年6月10日的一次降雹过程进行AgI不同催化高度、催化剂量和催化时间的系列催化模拟试验,并优选催化方案,为外场防雹设计和作业提供依据。在催化系列模拟中发现,不同催化高度的催化剂均在上升到-5℃高度后开始核化。在2.1~4.9 km高度范围内催化,AgI成核率比较高,防雹效果较好。核化的人工冰晶有效弥补了该高度上自然冰晶的不足。小剂量催化,可在减雹的同时增加部分降雨量,而大剂量催化,在减雹的同时会减少降雨。在催化时间、剂量和高度的系列催化试验中得出,采用在模拟的第15分钟在5 km高度附近播撒AgI,连续4次以5×106 kg-1的催化剂量进行催化,催化效果较好,可减少降雹量约60%,同时可避免降雨量的大幅减少。     

一次浙江对流云催化数值模拟试验

为了研究吸湿性催化剂、碘化银催化剂及两者的联合催化效果,利用双参数三维对流云催化模式,对浙江南部一次对流云降雨过程分别进行盐粉暖云催化、碘化银冷云催化和冷暖混合催化试验,对比研究不同催化方案对对流云降雨的可能影响。结果表明：盐粉催化导致先增雨后减雨,主要通过盐溶滴与云滴碰并增长,及雨滴碰并和霰粒子碰冻过程消耗。在上升气流区和降雨前期进行催化的增雨效果更好,30 μm粒径的盐粉催化剂量为12.5/L时,可增加降雨量17.8%。在降雨过程的不同发展阶段进行AgI催化,表现出先减雨后增雨的催化效果。盐粉和碘化银的联合催化,由于两者催化效果的不同步,使得不同吸湿性催化剂和碘化银催化剂量配置会导致不同的催化效果。当30 μm的盐粉,催化剂量12.5/L,联合碘化银100/L的冷区催化,可取得19%的增雨效果。     

Graupel growth and trajectories in a shallow cb cloud determined by a forced 1‐D model

Abstract

A kinematic model is applied to graupel growth. The vertical velocity and ther‐modynamic field data are taken from the forced 1‐D time‐dependent model of Cb cloud developed by Curie and Jane (1988). The graupel embryo pocket was released at the height of the — 10°C isotherm. The influence of the forced lifting on further graupel growth and its trajectory is analysed by sensitivity experiments based on the amplitude of the forced lifting, and initial graupel radius, density and cloud droplet concentration for the forced lifting initiation time derived from the model and the forced lifting duration time that agreed with observations. In particular, the sensitivity analysis was carried out for the forced lifting initiation and duration times.

It is shown that for large values of the forced lifting amplitudes, the residence time of the graupel within cloud and the final graupel radius may be significantly larger compared with those in the non‐forced case. The residence time in a cloud can also be significantly larger for the smallest amplitude, whereas the final radius is rather insensitive owing to oscillations around the melting level. For some cases the forced lifting causes recycling inside the updraft, contrary to the results of previous non‐forced numerical models. The recycling mechanism is sensitive to the forced lifting duration time and the time interval between the graupel pocket injection in cloud and the initiation of the forced lifting. Initially the observed recycling mechanism is a consequence of the periodic forced lifting mechanism, but then combines with recycling of the Pflaum type (1980).     

Impact of the Bergeron–Findeisen process on the release of aerosol particles during the evolution of cloud ice

The paper focuses on the redistribution of aerosol particles (APs) during the artificial nucleation and subsequent growth of ice crystals in a supercooled cloud. A significant number of the supercooled cloud droplets during icing periods (seeding agents: C₃H₈, CO₂) did not freeze as was presumed prior to the experiment but instead evaporated. The net mass flux of water vapour from the evaporating droplets to the nucleating ice crystals (Bergeron–Findeisen mechanism) led to the release of residual particles that simultaneously appeared in the interstitial phase. The strong decrease of the droplet residuals confirms the nucleation of ice particles on seeding germs without natural aerosol particles serving as ice nuclei. As the number of residual particles during the seedings did not drop to zero, other processes such as heterogeneous ice nucleation, spontaneous freezing, entrainment of supercooled droplets and diffusion to the created particle-free ice germs must have contributed to the experimental findings. During the icing periods, residual mass concentrations in the condensed phase dropped by a factor of 1.1–6.7, as compared to the unperturbed supercooled cloud. As the Bergeron–Findeisen process also occurs without artificial seeding in the atmosphere, this study demonstrated that the hydrometeors in mixed-phase clouds might be much cleaner than anticipated for the simple freezing process of supercooled droplets in tropospheric mid latitude clouds.     

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.     

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,     

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。     

减弱对流云降水的AgI催化原理的数值模拟研究

在对流云模式中增加了AgI两个预报量,耦合了考虑受水汽过饱度和温度影响的4种核化机制的AgI催化模块,使其具备了对AgI类催化剂的模拟能力,能够研究AgI类催化剂对对流云系统的影响。利用该模式对一次华南对流云降水过程进行了AgI催化数值模拟试验,对人工减缓对流云降水的可能性及原理进行了研究。模拟结果表明,在适当的时机对适当的部位进行大剂量的催化,可以减少总降水量,也可以减少最大降水中心的雨强。当催化浓度达到2×10~8 kg~(-1)时,可以减少32%的降水量,具备有效减缓对流云降水的可能性。大剂量催化后,大量的AgI粒子在冷区核化后,消耗了大量的过冷水。催化后霰粒子的落速和雨水的落速减小。催化阶段由于霰融化成雨水减少而使降水减弱。催化结束后在霰融化成雨水增多的情况下,雨水的蒸发大幅增加,从而导致了降水量的持续减少。AgI在模拟的强对流云中主要以受过饱和度影响的凝结冻结和催化剂长时间作用的浸没冻结这两种方式成核。研究所用催化方法在外场作业中具有技术可行性。     

霰粒子参数对强对流云降水和催化影响的数值模拟研究

本文利用三维对流云AgI催化模式, 开展了霰粒子密度和落速参数的敏感性模拟试验, 以研究高凇附度时霰粒子参数的选取对催化模拟结果的影响。敏感性试验中对七个霰微物理过程进行了调整。分析发现改变霰落速参数和霰密度, 可以引起3小时模拟的总降水量增加4.9%。催化后改变了敏感性试验中霰落速和上升气流的配置, 并影响到霰碰并云水和冰晶的过程, 及霰融化成雨水的过程。在高凇附度云中如果只增加霰密度而没有增加相应的落速系数, 将使云中霰含量大幅增加。霰参数也影响了自然云和催化云的降水效率。过量催化使得催化云的降水效率低于自然云。增加霰密度的同时也增加霰落速系数, 将使其降水效率高于对照试验, 从而影响催化效果。在高凇附度云中采用大密度和较大下落系数, 并且利用比数浓度平均落速计算霰粒子比数浓度的下落过程, 会使催化效率从25%减少到15%, 极大地改变催化效果。所以在高凇附度的暴雨个例中, 应当采用高霰密度和相应的高霰落速, 否则减雨的催化效果将会被大幅夸大。     

碘化银核化过程的数值模拟研究

根据DeMott等给出的不同成核机制下AgI成核效率的实验结果 ,通过数值模拟的方法 ,研究了AgI粒子在云室、层状云和对流云中的核化过程。通过对云室的模拟 ,发现云滴浓度和云雾持续时间是造成不同云室检测的AgI成核率相差悬殊的主要原因。数值试验结果表明AgI的成核方式在层状云和对流云中有很大不同 :层状云中AgI主要以接触冻结、浸没冻结等慢核化过程为主 ,而对流云中则以凝结冻结过程为主。     

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。     

WRF模式云参数化方案对一次深对流系统模拟的验证和改进

使用中尺度数值模式WRF中的双参数云微物理方案WDM6针对2008年台风“凤凰”登陆过程中造成的强降水进行数值模拟,通过卫星模拟器利用MTSAT-1R和TRMM卫星观测的红外云顶黑体亮温TBB、PR雷达反射率资料使用统计方法验证模拟结果。通过修改云水向雨水自动转化过程、冰晶核化过程、雪和霰的下落末速度、雪和霰的截距进行敏感性试验,减小模拟结果和卫星观测结果的差异。研究结果表明:WDM6方案模拟的台风“凤凰”登陆后的降水,强对流云系及对流柱状雷达回波基本符合实况,但模拟结果局部偏强。WDM6方案模拟产生了较多的浅对流云,低估了对流云系的出现频率。不同云类型模拟的雷达回波均偏强,对流云系雷达回波垂直分布接近观测。敏感性试验结果说明修改WDM6方案中云水向雨水自动转化率有效地改善了模拟效果。同时发现云滴初始数浓度影响云水向雨水自动转化率并最终影响云系结构和雷达反射率的模拟结果,过高的云滴初始数浓度会使模拟结果变差。     

Sensitivity study of the influence of cloud droplet concentration on hail suppression effectiveness

A cloud-resolving mesoscale model with a two-moment microphysical scheme has been used. The software package for cloud seeding and two categories of precipitation elements (graupel and frozen raindrops) are incorporated in the model. The aim of this study was to investigate the impact of cloud droplet concentration on hail suppression effectiveness. The concentration level of cloud droplets is prescribed in the model. We performed sensitivity tests of precipitation amounts (rain and hail) on the cloud droplet concentration in unseeded and seeded cases. We demonstrated for the unseeded case that increasing the concentration of cloud droplets created a reduction in rain accumulation, while the amount of hail accumulation increased. It is necessary to understand whether natural diversity in the cloud droplet concentration can affect the effectiveness of hail suppression. For operational cloud seeding activities, it would be helpful to determine whether it is possible to suppress hail if we know the optimal level of concentration for cloud droplets. Our study showed that hail suppression effectiveness had the greatest influence on lowering cloud droplet concentration levels; suppression effectiveness decreased as the cloud droplet concentration increased.     

层状云催化宏微观物理响应的数值模拟研究

层状云系是进行人工增雨开发利用空中云水资源的重要对象,增雨作业需要有科学可行的技术指标来指导实际作业的科学实施,而合理准确评估人工增雨作业的效果也是需要解决的重要课题,通过数值模式合理地仿真模拟实际催化作业的过程,进而研究增雨作业后云和降水的一系列宏微观特征的变化及其机理,是建立和改进催化作业技术的必要途径,也是评估实际人工增雨作业效果的有效手段。本文使用三维中尺度冷云催化模式对2014年4月15日河北省一次层状云降水的飞机催化作业过程进行了仿真模拟,力图对实际作业过程进行合理再现,通过对模拟结果的分析,研究飞机播撒的AgI（Silver iodide）催化剂在空中的扩散传输特征,分析催化对云和降水宏微观特性的影响,并对此次飞机催化作业的增雨效果进行评估。研究结果表明,播撒的AgI催化剂烟羽扩展的水平尺度可达数十公里以上,垂直方向上,大部分AgI粒子则主要集中在作业层上下约1 km的厚度范围内,AgI粒子的向上输送明显强于向下的输送;催化后云中的冰晶和雪粒子明显增加,导致催化模拟前期的霰增长受到抑制,之后随着霰碰并雪过程及零度层附近冰相粒子淞附过程的增强,云中霰的总量逐渐增加;催化作业后,催化云的雷达回波强度有明显增强,且随时间变化表现出不同的结构特征;催化导致地面降水出现先减少后增加的时间变化特征,催化后3小时,作业影响区向作业区下游扩展100 km以上,总体呈现减雨—增雨的区域分布特征;数值模拟评估表明,整个评估区内的净增雨量达到3.6×107 kg,平均增雨率为1.1%,暖层霰粒浓度和尺度的增加是降水增加的主要原因。由于作业目标云系的催化条件一般,而播撒的AgI剂量偏大,造成增雨作业效果偏低。     

河北一次层状云系降水的微物理机制数值模拟与分析

利用一维层状云模式,详细分析了2009年5月1日中国中东部地区一次层状云系的微物理结构和降水过程。结果表明：此次降水为层状云系降水,云系垂直结构符合顾震潮三层概念模型和“播种云-供给云”机制,其中第一层（上层：4.7-7.0 km）存在冰雪晶,雪主要通过冰晶自动转化和凝华增长。第二层（中层：2.6-4.6 km）有冰晶、雪、霰、云水、雨滴,此层贝吉龙过程作用明显。第三层（下层：1.3-2.5 km）主要粒子为云滴、雨滴、从上层融化的雪和霰,霰的融化对于雨滴的形成贡献最大。云体发展成熟时,各层之间存在一定的播种－供应关系,如第一层向第二层顶部播撒雪和冰晶,第二层向第三层顶部播撒霰和雪。     

基于飞机真实轨迹的一次层状云催化的增雨效果及其作用机制的模拟研究

层状云降水效率通常较低,但却具有较高的云水资源开发潜力,是人工增雨作业的重要对象.随着中国南方地区生态改善、水库增蓄、抗旱等社会需求的增加,针对这些地区降水云系的人工增雨研究显得愈发重要.使用三维中尺度冷云催化模式,对2018年10月21日湖北省一次层状云飞机人工增雨作业过程进行了数值模拟研究,并将模拟结果与卫星、降水...     

A modelling study of the effect of cloud saturation and particle growth rates on charge transfer in thunderstorm electrification

Numerical studies have been made of the importance of cloud saturation to the sign of charge transfer during graupel/ice crystal interactions in thunderstorms. Previous laboratory studies led to the idea that the diffusional growth rates of the interacting ice surfaces may influence the sign of the charge transferred during brief collisional contact. The ice crystals grow by vapour diffusion in a supersaturated environment while the graupel surface grows by diffusion under low accretion rate conditions, but will sublimate when heated sufficiently by riming. The graupel surface is also influenced, even under net sublimation conditions, by the vapour released to it from droplets freezing on its surface. In a cloud, the diffusional growth rates are also affected by ventilation when the supercooled droplets and their local environment flow past the riming surface.The diffusional growth rates of ice crystals and riming graupel particles are calculated for various cloud saturation ratios, then the sign of electric charge transferred during crystal/graupel collisions is determined according to the concept of the relative vapour diffusional growth rates, according to Baker et al., 1987 [Baker, B., Baker, M.B., Jayaratne, E.J., Latham, J., Saunders, C.P.R., 1987. The influence of diffusional growth rates on the charge transfer accompanying rebounding collisions between ice crystals and soft hailstones. Quart. J. Roy. Met. Soc. 113, 1193–1215]. It is found necessary, in order to account for the observation of positive charging of riming graupel at high accretion rates, to modify the assumptions of Baker et al. in order to increase the flux of vapour to the graupel surface. The variable growth parameters available may be adjusted to represent the environmental saturation conditions in various laboratory experiments, including the mixing of clouds from regions having different growth conditions, and are used to determine charge sign sensitivity to cloud saturation ratio, temperature and accretion as measured by the cloud effective liquid water content.     

一次冰雹云过程及其冰雹形成机制的模拟研究

利用常规气象资料和多普勒天气雷达资料,从天气形势和雷达回波演变特征等方面对2011年6月24日发生在洛阳嵩县的一次冰雹过程进行了分析,并利用三维弹性冰雹云催化模式对该冰雹云进行了模拟研究,分析其冰雹形成的物理机制。结果表明:本次过程在天气形势上属于下滑冷槽型。多普勒天气雷达资料上表现为单个单体的强对流风暴,最大反射率≥65 dBz,回波顶高达到14 km,降雹前垂直积分液态含水量具有明显的跃增;径向速度场上出现了大范围明显的逆风区。三维冰雹云模式对该冰雹云具有较好的模拟能力,模式模拟的最强回波与实况一致,雹云中含水量中心与强上升气流有很好的配置,在云的发展阶段,主含水量中心是强上升气流的指示。冰雹的雹胚主要来自冻滴和霰,在冰雹形成期间,冻结形成的冻滴和转化产生的霰数量上相差不大,但是冻滴向雹的转化比例却是霰的6倍,即在地面强降雹之前,雹云中的雹胚主要来源于冻滴;而冰雹的增长在前期主要靠收集过冷雨水,后期主要靠收集过冷云水;适量的冰晶、雪和丰富的过冷水的存在对雹的形成和增长极为有利。     

梅雨锋暴雨中云物理过程的观测和数值模拟

Cloud micro-physical structures in a precipitation system associated with the Meiyu front are observedusing the balloon-borne Precipitation Particle Image Sensor at Baoshan observatory station, Shanghaiduring June and July 1999. The vertical distributions of various cloud particle size, number density, andmass density are retrieved from the observations. Analyses of observations show that ice-phase particles(ice crystals, graupel, snowflakes, and frozen drops) often exist in the cloud of torrential rain associatedwith the Meiyu front. Among the various particles, ice crystals and graupel are the most numerous, butgraupel and snow have the highest mass density. Ice-phase particles coexist with liquid water dropletsnear the 0℃ level. The graupel is similarly distributed with height as the ice crystals. Raindrops belowthe 0℃ level are mainly from melted grauple, snowflakes and frozen drops. They may further grow largerby coalescence with smaller ones as they fall from the cloud base. Numerical simulations using the non-hydrostatic meso-scale model MM5 with the Reisner graupel explicit moisture scheme confirm the mainobservational results. Rain water at the lower level is mainly generated from the melting of snow andgraupel falling from the upper level where snow and graupel are generated and grown from collection withcloud and rain water. Thus the mixed-phase cloud process, in which ice phase coexists and interacts withliquid phase (cloud and rain drops), plays the most important role in the formation and development ofheavy convective rainfall in the Meiyu frontal system.