Further evidences of deep convective vertical transport of water vapor through the tropopause

A few years ago, we identified a deep convective transport mechanism, of water vapor through the tropopause, namely, storm top gravity wave breaking, such that tropospheric water substance can be injected into the lower stratosphere via this pathway. The main evidence presented previously was taken from the lower resolution AVHRR images of the storm anvil top cirrus plumes obtained by polar orbiting satellites. Recent observations have provided further supporting evidence for this important cross-tropopause transport mechanism. There are now many higher resolution satellite images, mainly from MODIS instrument, that show more definitely the existence of these plumes, many of which would probably be unseen by lower resolution images.Furthermore, a thunderstorm movie taken in Denver (USA) area during STEPS2000 field campaign and another thunderstorm movie taken by a building top webcam in Zurich also demonstrate that the jumping cirrus phenomenon, first identified by T. Fujita in 1980s, may be quite common in active thunderstorm cells, quite contrary to previous belief that it is rare. We have used a cloud model to demonstrate that the jumping cirrus is exactly the gravity wave breaking phenomenon that transports water vapor through the tropopause.These additional evidences provide increasing support that deep convection contributes substantially to the troposphere-to-stratosphere transport of water substance. This corroborates well with recent studies of the stratospheric HDO/H₂O ratio which is much highly than it would be if the transport is via slow ascent. The only explanation that can be used to interpret this observation at present is that water substance is transported through the tropopause via rapid vertical motion, i.e., deep convection.     

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.     

“96.1”高原暴雪过程横波型不稳定的数值研究

利用一次较成功地模拟了“96.1”青藏高原东北部暴雪过程的MM4中尺度模式输出资料, 用非线性横波型不稳定模式对“96.1”暴雪发生发展过程的动力学机制进行了数值试验, 结果指出:横波型不稳定的分布和演变与暴雪切变线的发生发展过程相当一致, 说明横波型不稳定是这次暴雪过程的一种动力学机制.     

春季与夏季两次雷暴大气结构及地闪特征对比

利用NCEP再分析资料、探空资料、闪电定位资料和南京、常州多普勒雷达资料,通过对比分析南京2012年2月22日春季雷暴和2011年8月10日夏季雷暴两次过程,研究不同季节影响雷暴发生的大气结构以及强弱雷暴地闪特征的差异。结果表明:风矢位温(V-3θ)图揭示的大气动力热力水汽特征能够为雷暴的潜势预报提供先兆信息。两者相较而言,春季雷暴的动力抬升作用明显;夏季雷暴主要由热对流引起,对流层上层的动力抽吸作用不明显。春季弱雷暴正地闪在总地闪中所占比例较高。无论春季弱雷暴还是夏季强雷暴,地闪落点与辐合区对应关系明显,且地闪的落点也与雷达反射率因子有较好的对应关系:地闪主要分布在强回波区(大于40 d Bz)及其外围区域。但在较强雷暴云的发展阶段,地闪多发生在风暴体伸展方向的一侧,具有引导雷达回波移动的作用,夏季强雷暴地闪簇集在垂直风切变区域。     

The effects of precipitation schemes and horizontal resolution on the major rainband in typhoon Flo (1990) predicted by the MRI mesoscale nonhydrostatic model

Summary ?This paper describes a numerical study of the major spiral rainband in typhoon Flo (1990) using the Meteorological Research Institute Mesoscale Nonhydrostatic Model (MRI-NHM). The effects of precipitation schemes and horizontal resolution on the representation of the simulated rainband are discussed. Dynamic and thermodynamic structures of the simulated major rainband to the north of the storm center are well represented in the model with a 5 km horizontal resolution. The structures are consistent with observational results reported for other tropical cyclones. Among the realistic features are: a cold pool and convergence on the inner side of the band; convergence above low-level inflow layers; and the outward slope of the updraft with height. The band is caused by the motion of the storm through its surroundings where horizontal wind has vertical shear. The simulation of the structure and precipitation pattern associated with the major rainband depends on the precipitation scheme rather than the horizontal resolution. The band appears more realistic when using explicit cloud microphysics as a precipitation scheme, rather than moist convective adjustment. This result is attributable to the difference in scheme triggering. In the simulation with moist convective adjustment, the elimination of vertical instability in low-level atmosphere is excessive, suppressing band formation. The overall structure of the band is also more realistic in the simulation using explicit cloud microphysics, because a cold pool exists in the lower layers and the vertical axis of upward flow tilts outward. This result suggests that prediction will partly depend on variables associated with cloud microphysics, such as the mixing ratio of cloud water. The horizontal grid distance, which varied between 5 and 20 km, quantitatively influenced the rainfall amount, although the large-scale band structure remained unchanged. The rainfall amount increased as the grid interval was reduced from 20 to 10-km but decreased as the interval was further reduced from 10 to 5 km. Received March 20, 2001; revised August 20, 2001     

基于高分辨率中尺度气象模式的实际雷暴过程的数值模拟试验

雷暴数值预报的实际应用离我们还有多远？本文对此进行了尝试, 即利用一个复杂的高分辨率中尺度气象模式驱动一个三维雷电模式, 在只采用常规气象观测资料的条件下, 对北京的一次实际雷暴过程进行模拟试验, 分析了雷暴云的宏观动力、 微物理过程及电结构的时空变化特征以及其可能的相互作用机制。结果表明: 利用高分辨中尺度模式预报出的三维气象场作为雷电模式的初始场, 完全可以不需添加虚假的扰动来触发雷暴云的发展, 高分辨中尺度模式的预报场本身所包含的水平非均匀、 垂直强非静力性及较强的对流不稳定信息足够促发雷暴云的剧烈发展; 用较为真实的三维气象场作为初始场模拟产生的电场分布特征与云微物理分布特征及环境气象要素的分布结构非常协调, 得到的雷暴云的电荷结构特征以及电结构随时间的演变特征更为复杂, 更真实的体现了实际雷暴云本身发展的复杂性, 同时, 模式能够模拟出合理的云闪及正负云地闪, 且模拟的闪电频数随时间发展演变趋势基本与观测实况基本吻合, 从而表现了对雷电天气潜在的预报能力。本次模拟的北京雷暴云在发展过程中, 水物质霰的最大质量比、 最大正电场强度及闪电频数随模拟时间的演变发展趋势非常相似。     

COMPARISONS BETWEEN DOPPLER AND SIMULATED FEATURES OF A SUPERCELL

Firstly, typical features of a supercell, which occurred in Guangzhou on August 11, 2004, are discussed by using the new generation weather radar data. V-notch, finger-echo, weak echo region, overhang and echo-wall are observed from reflectivity products. A vertical cross section of the radial velocity is made along the direction of the low-level inflow and across the maximum reflectivity core, which displays a part of strong updraft and downdraft. Secondly, a 3-D convective storm model is used to simulate the supercell. The maximum reflectivity and the core thickness of the simulated radar echo are 75 dBz and 14km, respectively. These values are more than the counterparts that are detected by radar. The reason is that attenuation is not calculated in the model. The wind field structure is also given when the storm is the strongest. Divergence, caused by thunderstorm outflow, is in the low level. In the middle and high level, convergence is dominant, but the plume is not simulated at the top. Finally, the evolution of the simulated vertical motion is documented. The interaction between the environmental wind and the updraft, which is formed by the convergence on the ground at the beginning, makes the storm stronger. Then, downdraft occurs and grows. When it becomes dominant, the supercell collapses.     

A comparison of 3D model results with observations for an isolated CCOPE thunderstorm

Summary This paper is concerned with the simulation of deep convection for the CCOPE 19 July 1981 case study. Clark's three-dimensional (3D) cloud model modified to use the bulk water parameterization scheme of Lin et al. has been used in the simulation of the CCOPE 19 July 1981 case in coarse mesh, fine mesh, and interactive grid nested schemes, respectively. Comparisons with observations show this 3D grid nested cloud model is capable of both capturing both the dynamic and microphysical properties of the cloud.In the nested grid fine mesh model simulation, the timing and mode of cloud growth, the diameter of liquid cloud, the cloud top rate of rise, the maximum cloud water content, and the altitude of first radar echo are consistent with observations. The simulated thunderstorm begins to dissipate, after precipitation reaches the ground as indicated by the decreasing values of maximum updraft and maximum liquid cloud water content, and ends as a precipitating anvil as was observed in the actual thunderstorm. The model precipitation developed through ice phase processes consistent with the analysis of observations from the actual thunderstorm.Qualitative comparisons of the actual radar RHIs with simulated reflectively patterns from the 3D model show remarkable similarity, especially after the mature stage is reached. Features of the actual RHI patterns, such as the weak echo region, upshear anvil bulge, strong upwind reflectivity gradients, and the upwind outflow region near the surface are reproduced in the simulation. Comparison of the actual radar PPIs with horizontal cross sections of radar reflectivity simulated by the 3D model, however, show modest differences in the storm size with the 3D simulated thunderstorm being 1–2 km longer in the west-east direction than the actual thunderstorm. The model-predicted maximum updraft speed is smaller than the 2D model-predicted maximum updraft speed, but still greater than what was observed.Comparisons among the nested grid fine mesh model (MB), nested grid coarse mesh model (MA), fine mesh model (FM), coarse mesh model (CM), and 2D model results previously published show that the nested grid fine mesh model (MB) gives the best simulation result. The various 3D model simulation results are generally similar to each other except for the difference in the domain maximum values. The domain maximum values in the fine mesh models (MB and FM) are generally higher than the coarse mesh models as a result of averaging over a smaller area.With 7 Figures     

复杂地形下雷暴增强过程的个例研究

本文基于多普勒雷达变分同化分析系统（VDRAS）反演的对流层低层热力和动力场,并结合多种稠密观测资料,对北京地区2009年7月22日一次弱天气尺度强迫下雷暴在山区和平原增强的机理进行了较深入的分析。研究结果表明：雷暴过程受大尺度天气系统影响不明显,对流前期地面弱冷锋,是此次雷暴新生的触发机制,高层冷平流、低层偏南暖湿气流的稳定维持和对流不稳定能量的聚集是本次雷暴增强的必要条件。雷暴从河北北部移进北京西北山区后,在下山和到达平原地区时,经历了两次明显的发展增强阶段。雷暴第一阶段下山增强,地形强迫起着主要作用,具体表现在三个方面：（1）地形斜坡使得雷暴冷池出流下山加速与稳定维持的偏南气流形成了强的辐合区;（2）地形抬升使得偏南暖湿入流强烈地上升,从而加剧了对流的发展;（3）地形抬高了冷池出流高度,使得出流与近地面偏南气流构成随高度顺转的低层垂直风切变,低层暖空气之上有冷平流叠加,使得雷暴前方的动力和热力不稳定增强。雷暴第二阶段在平原地区再次增强的主要原因是：组织完好的雷暴到达平原地区后,其冷池与低层暖舌在城区（朝阳地区）的对峙,产生了强的扰动温度梯度;强的冷池出流与势力相当的偏南暖湿气流相互作用产生了强的辐合上升气流,并与下沉气流在较长时间内共存;冷池出流形成的负涡度与低层切变产生的正涡度达到近似平衡状态。运用RKW理论,三者导致雷暴前方低层的辐合抬升最强,最有利于雷暴的维持发展。     

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。     

动力和能量参数在强对流天气预报中的应用研究

较强的热力不稳定和适宜的动力环境是强对流发展的基础 ,造成灾害的强对流一般是一种深厚对流 ,深对流指数和对流有效位能可反映对流上升运动的潜势和强度 ,对流有效位能还隐含地反映了对流层大气总体垂直热力结构。下沉对流有效位能和大风指数反映了对流下沉运动和下击暴流潜势 ,对流下沉和中层干空气的入侵高度、干燥程度及对流层中下层的稳定度和湿度有关。强风暴特别是超级单体一般都具有很高的螺旋性 ,高螺旋度有利于风暴生命的维持 ,而风暴相对螺旋度则对风暴发生及风暴类型有一定的预示。粗里查逊数反映了对流能量和环境场动力之间的平衡关系 ,能量螺旋度指数反映了动力和能量对强对流天气发展的共同效应 ,它们都综合了动力和热力两方面的因子 ,对强风暴及其类型的预报有指示意义。风暴强度指数和瑞士雷暴指数成功地把动力和对流能量参数结合起来 ,在实际研究和业务工作中这种方法值得借鉴。随着高分辨率中尺度和风暴模式的发展 ,模式输出的对流动力和能量参数将有广泛的应用前景。     

2016年北京地区一次雷暴大风的观测研究

利用常规气象观测资料、风廓线资料、北京观象台多普勒天气雷达产品、多普勒雷达变分同化分析系统（VDRAS）的反演资料和地面自动气象站客观分析资料,对2016年7月27日北京地区出现的一次雷暴大风天气的环境条件特征、风暴结构特征及演变机制进行了分析。结果显示：本次雷暴大风天气过程出现在弱天气尺度强迫环境中,较好的热力不稳定增强机制促使线状对流发展为弓形回波,形成雷暴大风天气。探空曲线中低层接近于干绝热的环境温度直减率和下沉对流有效位能突增等现象,对预报大风天气有较好的指示意义。上游雷暴的冷池出流与山前偏南暖湿气流在北京西部形成了明显的风向辐合,在强烈的扰动温度梯度和地形抬升的共同作用下,位于地面辐合抬升最强处触发新生单体并迅速发展。新生单体与风暴主体合并下山过程中,由于地形作用抬升了冷池出流高度,与平原地区偏南暖湿气流形成显著的不稳定层结,产生显著的扰动温度梯度,触发不稳定能量使雷暴在下山过程中强度增强。多普勒雷达产品上也表现为强的反射率因子核,并出现回波悬垂和有界弱回波区等特征,速度产品上可看到一对明显的端点涡旋。在冷池不断加强和端点涡旋对后入气流不断加速的共同作用下,后侧入流气流加强成为后侧入流急流,在低仰角速度产品上表现为显著的大风区。后侧入流气流将环境中的干冷空气夹卷进入云体,通过蒸发作用产生负浮力,使冷空气加速下沉,加之降水粒子的拖曳作用,最终造成剧烈的地面大风。     

The APE-THESEO Tropical Campaign: An Overview

The APE-THESEO campaign was held from 15 February to 15 March 1999 from the Seychelles in the western Indian Ocean. APE-THESEO stands for Airborne Platform for Earth observation — (contribution to) the Third European Stratospheric Experiment on Ozone. The campaign aimed to study processes controlling the low water content of the stratosphere, including the mechanisms of cloud formation in the tropical tropopause region, and transport processes, studied using measurements of long-lived trace gases and ozone.Two aircraft were used: the high-altitude research aircraft, M-55 Geophysica, which can fly up to 21 km, and the Falcon of the Deutsches Zentrum für Luft- und Raumfahrt, a tropospheric aircraft. Seven flights were performed, including the first simultaneous in situ and remote sensing of sub-visible cirrus clouds, the first interception of sub-visible cirrus using in-flight guidance from a path-finding aircraft, and guided descent of a high-altitude research aircraft into the anvil cloud at the top of a tropical cyclone. In this paper we describe the payload used, the objectives for each flight, and the meteorological conditions encountered. First results show that a new type of cloud, which we have dubbed ultra-thin tropical tropopause cloud (UTTC), has been observed frequently, and observed to cover areas of 10⁵ km². The frequent coincidence of the tropopause and hygropause implies that the western Indian Ocean played an important role in the dehydration of the lower tropical stratosphere during the season of the mission. UTTCs, sub-visible cirrus, and visible cirrus, have all been implicated in the observed dehydration. Tracer measurements indicate little mixing of stratospheric air into the upper tropical troposphere.     

对流性强风暴系统的螺旋度动力学研究

利用风暴尺度的数值模式ＡＲＰＳ成功地模拟了１９７７年５月２０日在美国Ｏｋｌａｈｏｍａ州Ｄｅｌ Ｃｉｔｙ的一次强对流风暴过程。其模拟结果与实际的观测非常接近，模式积分 ４０分钟，初始对流单体发生了分裂，产生了新的对流单体。原有对流单体在原地维持成熟的结构，表现出较强的稳定性，而分裂出的新单体在移动过程中，逐渐向成熟位相发展，并且又分裂出新的单体。利用模拟结果，着重讨论了风暴发展过程中螺旋度和超螺旋度的空间结构和时间演变特征，以及在强风暴系统的对流发展过程中的动力学作用。初始环境场的螺旋性结构有利于风暴的发展。在风暴发展阶段，低螺旋度有利于大尺度向对流尺度的能量串级，而在风暴成熟阶段，高螺旋度则有利于对流单体的能量维持，从而形成长生命周期的对流系统。在风暴的发展过程中，风暴流场结构具有向Ｂｅｌｔｒａｍｉ流结构的调整趋势，螺旋度向高值发展。超螺旋度在流体粘性作用的影响下，可反映出螺旋度密度空间积分的时间变化趋势，负的超螺旋度可使螺旋度增加。在对流风暴发展阶段，超螺旋度为负值，对流单体的结构螺旋性增强、螺旋度的增大，在风暴到达成熟阶段后，超螺旋度转为正值。因此，超螺旋度可用来标志对流风暴系统的成熟程度。     

通辽强对流云个例数值模拟

利用中国科学院大气物理研究所建立的完全弹性三维对流云模式,模拟了2008年内蒙古通辽市6月21日的1次强对流性降水过程。结合多普勒雷达探测资料,分析、讨论了这次降水过程的流场结构、雷达回波特征、含水量场等宏微观物理量的分布及其演变。同时,模拟分析冰雹形成的微物理过程:冰雹粒子主要由冻滴(CNfh)和霰(CNgh)转化形成,冻滴对冰雹形成的贡献比霰大很多,冰雹主要是通过撞冻云水(CLch)过程而进一步长大的,而后期碰并霰粒(CLgh)的过程也很重要。     

湖北地区一次雷暴云电荷结构和放电特征的数值模拟研究

在三维强风暴动力—电耦合数值模式中引入非感应起电参数化方案、感应起电参数化方案以及放电参数化方案,对湖北宜昌2014年6月19日一次闪电过程中雷暴云电荷结构和放电特征进行了模拟分析。模拟结果表明,当云内粒子增多、增大,大部分霰粒子逐渐降落到中低层,上部正电荷区减小,底部正电荷堆范围开始扩大,中部负电荷区和底部正电荷区成为主要的起电区域,这种底部正电荷区较厚的三极性电荷结构不利于地闪的产生。在粒子带电分析中,霰与冰晶粒子携带的电荷量均大于云滴,说明霰与冰晶之间非感应碰撞是云中主要的起电过程。虽然云滴的电荷量较小,但霰与云滴之间感应碰撞的作用不可忽视。结合电荷结构的分布,发现底部正电荷堆的垂直分布高度与霰粒子、云滴的电荷浓度的分布有关,且霰与云滴电荷浓度的累积区与底部正电荷堆相一致。     

平凉地区云的雷达回波和降水的气候特征

利用中国科学院兰州高原大气物理研究所平凉雷达观测基地双线偏振雷达的观测资料和地面资料，分析了雷暴云和冰雹云的ＺＨ和ＺＤＲ及其它参量的统计特征；用ＥＯＦ和相关分析方法研究了该区域的对流云和降水的日、月变化规律及地理分布，得到了这些量与地形高度及坡度的关系，揭示了六盘山对本地区云和降水影响的规律。这一工作为用双线偏振雷达研究冰雹云和下一步用区域模式研究该地区的云和降水机制提供了事实依据。     

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。     

用红外和水汽两个通道的卫星测值指定云迹风的高度

提出了一种改进的用红外和水汽两个通道的测值指定云迹风高度的算法。利用红外水汽散点图和云迹风本身自动地将有低云的目标区、有半透明卷云的目标区、有密蔽高云的目标区分开。在有低云的目标区和有密蔽高云的目标区用红外一个通道指定云高。在有半透明卷云的目标区用红外和水汽两个通道指定云高。在用两个通道的测值指定云高时，假定卷云高度以上不存在水汽，以红外和水汽两个通道亮温相同这个方程与两个通道辐射测值线性相关的方程联立解出云的高度     

Reconstruction of erythemal UV irradiance and dose at Hohenpeissenberg (1968–2001) considering trends of total ozone, cloudiness and turbidity

Summary Erythemal ultraviolet (UV) doses reaching the earths surface depend in a complex manner on the amount of total ozone, cloud cover, cloud type and the structure of the cloud field. A statistical model was developed allowing the reconstruction of UV from measured total ozone and a cloud modification factor (CMF) for the GAW site Hohenpeissenberg, Germany (48°N, 11°E). CMF is derived from solar global radiation G, normalized against a Rayleigh scattering atmosphere. By this way the complex influence of the cloud field is accounted for by introduction of a measured parameter, exposed also to this complex field. The statistical relations are derived from the period 1990–1998 where UV measurements and relevant meteorological parameters are available. With these relations daily UV doses could be reconstructed back to 1968. Tests show that the model works remarkably well even for time scales of a minute except for situations with high albedo. The comparison of measured and calculated UV irradiances shows that the model explains 97% of the variance for solar elevations above 18° on average over the period 1968–2001. The reconstruction back to 1968 indicates that maximum UV irradiances (clear days) have increased due to long-term ozone decline. Clouds show seasonally depending long-term changes, especially an increase of cirrus. Consequently the UV doses have increased less or even decreased in some months in comparison to the changes expected from the ozone decline alone. In May to August total cloud frequency and cloud cover have decreased. Therefore, the average UV doses have increased much more than can be explained by the ozone decline alone. It is also shown that the optical thickness of cirrus clouds has increased since 1953. The higher frequency of cirrus is caused in part by more frequent contrails. Besides that an observed long-term rise and cooling of the tropopause favors an easier cirrus formation. However, whether climate change and an intensification of the water cycle is responsible for the cirrus trends has not been investigated in detail.