Sensitivity of the Grid-point Atmospheric Model of IAP LASG(GAMILI.I.0)Climate Simulations to Cloud Droplet Effective Radius and Liquid Water Path

This paper documents a study to examine the sensitivity to cloud droplet effective radius and liquid water path and the alleviation the energy imbalance at the top of the atmosphere and at the surface in the latest version of the Grid-point Atmospheric Model of the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics （LASG）, Institute of Atmospheric Physics （IAP） （GAMIL1.1.0）. Considerable negative biases in all flux components, and thus an energy imbalance, are found in GAMIL1.1.0. In order to alleviate the energy imbalance, two modifications, namely an increase in cloud droplet effective radius and a decrease in cloud liquid water path, have been made to the cloud properties used in GAMIL. With the increased cloud droplet effective radius, the single scattering albedo of clouds is reduced, and thus the reflection of solar radiation into space by clouds is reduced and the net solar radiation flux at the top of the atmosphere is increased. With the reduced cloud optical depth, the net surface shortwave radiation flux is increased, causing a net warming over the land surface. This results in an increase in both sensible and latent heat fluxes over the land regions, which is largely balanced by the increased terrestrial radiation fluxes. Consequently, the energy balance at the top of atmosphere and at the surface is achieved with energy flux components consistent with available satellite observations.

Broadening of cloud droplet size distributions and warm rain initiation associated with turbulence: an overview

In the study of warm clouds,there are many outstanding questions.Cloud droplet size distributions are much wider,and warm rain is initiated in a shorter time and with a shallower cloud depth than theoretical expectations.This review summarizes the studies related to the effects of turbulent fluctuations and turbulent entrainment-mixing on the broadening of droplet size distributions and warm rain initiation,including observational,laboratorial,numerical,and theoretical achievements.Particular attention is paid to studies by Chinese scientists since the 1950s,since most results have been published in Chinese.The review reveals that high-resolution observations and simulations,and laboratory experiments,are needed because knowledge of the detailed physical processes involved in the effects of turbulence and entrainment-mixing on cloud microphysics still remains elusive.The effects of turbulent fluctuations and entrainment-mixing processes have been unrealistically separated in most theoretical studies.They could be unified by further advancement of a systems theory into a predictive theory.Developing parameterizations for the effects of fluctuations and entrainment-mixing processes is still in its infancy,and more studies are warranted.

Spectral dispersion of cloud droplet size distributions and radar threshold reflectivity for drizzle

From first principles, we find that the radar threshold reflectivity between nonprecipitating clouds and precipitating clouds is strongly related to not only the cloud droplet number concentration but also the spectral dispersion of cloud droplet size distributions. The further investigation indicates that the threshold value is an increasing function of spectral dispersion and cloud droplet number concentration. These results may improve our understanding of the cloud-precipitation interaction and the aerosol indirect effect.

The Importance of the Shape Parameter in a Bulk Parameterization Scheme to the Evolution of the Cloud Droplet Spectrum during Condensation

The shape parameter of the Gamma size distribution plays a key role in the evolution of the cloud droplet spectrum in the bulk parameterization schemes. However, due to the inaccurate specification of the shape parameter in the commonly used bulk double-moment schemes, the cloud droplet spectra cannot reasonably be described during the condensation process. Therefore, a newly-developed triple-parameter condensation scheme with the shape parameter diagnosed through the number concentration, cloud water content, and reflectivity factor of cloud droplets can be applied to improve the evolution of the cloud droplet spectrum. The simulation with the new parameterization scheme was compared to those with a high-resolution Lagrangian bin scheme, the double-moment schemes in a parcel model, and the observation in a 1.5D Eulerian model that consists of two cylinders. The new scheme with the shape parameter varying with time and space can accurately simulate the evolution of the cloud droplet spectrum. Furthermore, the volume-mean radius and cloud water content simulated with the new scheme match the Lagrangian analytical solutions well, and the errors are steady, within approximately 0.2%.

Relationships between Cloud Droplet Spectral Relative Dispersion and Entrainment Rate and Their Impacting Factors

Cloud microphysical properties are significantly affected by entrainment and mixing processes.However,it is unclear how the entrainment rate affects the relative dispersion of cloud droplet size distribution.Previously,the relationship between relative dispersion and entrainment rate was found to be positive or negative.To reconcile the contrasting relationships,the Explicit Mixing Parcel Model is used to determine the underlying mechanisms.When evaporation is dominated by small droplets,and the entrained environmental air is further saturated during mixing,the relationship is negative.However,when the evaporation of big droplets is dominant,the relationship is positive.Whether or not the cloud condensation nuclei are considered in the entrained environmental air is a key factor as condensation on the entrained condensation nuclei is the main source of small droplets.However,if cloud condensation nuclei are not entrained,the relationship is positive.If cloud condensation nuclei are entrained,the relationship is dependent on many other factors.High values of vertical velocity,relative humidity of environmental air,and liquid water content,and low values of droplet number concentration,are more likely to cause the negative relationship since new saturation is easier to achieve by evaporation of small droplets.Further,the signs of the relationship are not strongly affected by the turbulence dissipation rate,but the higher dissipation rate causes the positive relationship to be more significant for a larger entrainment rate.A conceptual model is proposed to reconcile the contrasting relationships.This work enhances the understanding of relative dispersion and lays a foundation for the quantification of entrainment-mixing mechanisms.

A Study of Shallow Cumulus Cloud Droplet Dispersion by Large Eddy Simulations

Cloud droplet dispersion is an important parameter in estimating aerosol indirect effect on climate in general circulation models（GCMs）.This study investigates droplet dispersion in shallow cumulus clouds under different aerosol conditions using three-dimensional large eddy simulations（LES）.It is found that cloud droplet mean radius,standard deviation,and relative dispersion generally decrease as aerosol mixing ratio increases from 25 mg-1（clean case） to 100 mg-1（moderate case）,and to 2000 mg-1（polluted case）.Under all the three simulated aerosol conditions,cloud droplet mean radius and standard deviation increase with height.However,droplet relative dispersion increases with height only in the polluted case,and does not vary with height in the clean and moderate cases.The mechanisms for cloud droplet dispersion are also investigated.An additional simulation without considering droplet collision-coalescence and sedimentation under the aerosol mixing ratio of 25 mg-1 shows smaller values of droplet mean radius,standard deviation,and relative dispersion as compared to the base clean case.This indicates that droplet collision-coalescence plays an important role in broadening droplet spectra.Results also suggest that the impact of homogeneous mixing on cumulus cloud droplet spectra is significant under all the three simulated aerosol conditions.In weak mixing（strong updraft） regions where clouds are closer to be adiabatic,cloud droplets tend to have larger mean radius,smaller standard deviation,and hence smaller relative dispersion than those in stronger mixing（downdraft or weak updraft） regions.The parameterized cloud optical depth in terms of cloud liquid water content,droplet number concentration,and relative dispersion is only slightly smaller than the result calculated from detailed droplet spectra,indicating that current parameterization of cloud optical depth as used in many GCMs is plausible for low clouds.

A method for solving relative dispersion of the cloud droplet spectra

The relative dispersion of the cloud droplet spectra or the shape parameter is usually assumed to be a constant in the two-parameter cloud microphysical scheme, or is derived through statistical analysis. However, observations have revealed that the use of such methods is not applicable for all actual cases. In this study, formulas were derived based on cloud microphysics and the properties of gamma function to solve the average cloud droplet radius and the cloud droplet spectral shape parameter. The gamma distribution shape parameter, relative dispersion, and cloud droplet spectral distribution can be derived through solving the droplet spectral shape parameter equation using the average droplet radius, volume radius, and their ratio, thereby deriving an analytic solution. We further examined the equation for the droplet spectral shape parameter using the observational droplet spectral data, and results revealed the feasibility of the method. In addition, when the method was applied to the two-parameter cloud microphysical scheme of the Weather Research and Forecast(WRF) model to further examine its feasibility, the modeling results showed that it improved precipitation simulation performance, thereby indicating that it can be utilized in two-parameter cloud microphysical schemes.

Relationship between Cloud Characteristics and Radar Reflectivity Based on Aircraft and Cloud Radar Co-observations

Cloud properties were investigated based on aircraft and cloud radar co-observation conducted at Yitong, Jilin, Northeast China. The aircraft provided in situ measurements of cloud droplet size distribution, while the millimeter-wavelength cloud radar vertically scanned the same cloud that the aircraft penetrated. The reflectivity factor calculated from aircraft measurements was compared in detail with sinmltaneous radar observations. The results showed that the two reflectivities were comparable in warm clouds, but in ice cloud there were more differences, which were probably associated with the occurrence of liquid water. The acceptable agreement between reflectivities obtained in water cloud confirmed that it is feasible to derive cloud properties by using aircraft data, and hence for cloud radar to remotely sense cloud properties. Based on the dataset collected in warm clouds, the threshold of reflectivity to diagnose drizzle and cloud particles was studied by analyses of the probability distribution function of reflectivity from cloud particles and drizzle drops. The relationship between refiectivity factor （Z） and cloud liquid water content （LWC） was also derived from data on both cloud particles and drizzle. In comparison with cloud droplets, the relationship for drizzle was blurred by many scatter points and thus was less evident. However, these scatters could be partly removed by filtering out the drop size distribution with a large ratio of reflectivity and large extinction coefficient but small effective radius. Empirical relationships of Z-LWC for both cloud particles and drizzle could then be derived.

Aircraft Observations of Liquid and Ice in Midlatitude Mixed-Phase Clouds

ABSTRACT This paper reports airborne measurements of midlatitude altostratus clouds observed over Zhengzhou, Henan Province, China on 3 March 2007. The case demonstrates mixed-phase conditions at altitudes from 3200 to 4600 m （0°C to -7.6°C）, with liquid water content ranging from 0.01 to 0.09 g m-3. In the observed mixed-phase cloud, liquid water content exhibited a bimodal distribution, whereas the maximum ice particle concentration was located in the middle part of the cloud. The liquid and ice particle data showed significant horizontal variability on the scale of a few hundred meters. The cloud droplet concentration varied greatly over the horizontal sampling area. There was an inverse relationship between the cloud droplet concentration and ice particle concentration. A gamma distribution provided the best description of the cloud droplet spectra. The liquid droplet distributions were found to increase in both size and concentration with altitude. It was inferred from the profile of the spectra parameters that the cloud droplet sizes tend to form a quasi-monodisperse distribution. Ice particle spectra in the cloud were fitted well by an exponential distribution. Finally, a remarkable power law relationship was found between the slope （λ） and intercept （No） parameters of the exponential size distribution.

Fundamentals on Thermodynamic Processes behind Clouds’ and Rainfalls’ Formation

The prevailing idea so far about why the rainfall occurs was that after agglutination of water droplets with condensation nuclei, the size of the particle formed by the condensation nuclei connected with droplets of water increased considerably and caused its fall. This idea has led to numerous scientific publications in which empirical distribution functions of clouds’ water droplets sizes were proposed. Estimates values provided by these empirical distribution functions, in most cases, were validated by comparison with UHF Radar measurements. The condensation nuclei concept has not been sufficiently exploited and this has led meteorologists to error, in their attempt to describe the clouds, thinking that clouds were formed by liquid water droplets. Indeed, MBANE BIOUELE paradox (2005) confirms this embarrassing situation. In fact, when applying Archimedes theorem to a liquid water droplet suspended in the atmosphere, we obtain a meaningless inequality ?which makes believe that the densities of pure water in liquid and solid phases are much lower than that of the atmosphere considered at the sea level. This meaningless inequality is easy to contradict: of course, if you empty a bottle of pure liquid water in the ocean (where z is equal to 0), this water will not remain suspended in the air, i.e., application of Archimedes’ theorem allows realizing that there is no liquid (or solid) water droplet, suspended in the clouds. Indeed, all liquid (or solid) water droplets which are formed in clouds, fall under the effect of gravity and produce rains. This means that our current description of the clouds is totally wrong. In this study, we describe the clouds as a gas composed of dry air and saturated water vapor whose optical properties depend on temperature, i.e., when the temperature of a cloud decreases, the color of this gaseous system tends towards white.

风云卫星数据应用以及在云物理中的研究综述

风云四号卫星作为中国新一代地球同步轨道气象卫星,自2016年发射以来,在气象观测和预报、自然灾害监测以及气候变化研究等方面发挥了重要作用。为探究风云四号卫星数据在未来航空气象以及探讨研究云滴尺度廓线上的重要性,综述了风云气象卫星数据在气象监测的运用。同时也结合了云物理的相关研究,为未来卫星数据反演云滴尺度廓线提供新的思路,通过深入分析卫星数据与云物理参数之间的关系,卫星数据的广泛运用以及云微物理的研究提供全面的理论基础和实践指导。同时,也为未来的气象卫星应用和云物理研究提供了新的视角和方法。

液滴群在两段自着火条件下的内群燃烧及向外群燃烧的转变数值模拟分析

利用数值模拟研究了正庚烷和正十二烷液滴群在两段自着火条件下的内群燃烧及向外群燃烧转变的机理.首先分别分析了冷火焰和热火焰内群燃烧的火焰结构.进一步比较发现,虽然正庚烷与正十二烷的挥发性不同,但液滴群参数相同时其燃烧阶段一致,通过对时间尺度和蒸发进程的分析发现,该现象的原因为液滴群内燃烧是蒸发控制的物理过程,挥发性不同仅影响不同过程发生的时间.最后,对液滴群内燃烧向外燃烧过渡的算例展开分析,发现液滴群内燃烧火焰穿透整个液滴群后,液滴群内部氧气减少,形成了富燃的区域,而液滴群外部形成了传统的扩散火焰.

石家庄地区雾霾天气下云滴和云凝结核的分布特征

2009年5~10月在石家庄地区对雾霾天气下的近地面到高空的云雾滴和云凝结核（CCN）进行了7架次飞机探测.利用PMS云粒子测量仪器、机载温湿仪和连续气流纵向热梯度云凝结核仪获得的云雾粒子和云凝结核（CCN）探测资料,分析了层积云（Sc）和高积云（Ac）中云粒子浓度、液态含水量、粒子算术平均直径和粒子有效平均直径的垂直分布特征;分析了CCN垂直和水平分布特征以及谱分布.结果表明雾霾天气状况下,云滴数浓度在102个/cm3量级上.高云粒子粒径总体大于低云粒子.云含水量平均值范围为0.03~0.14g/m3;地面到600 m高度内,CCN值的平均值为3034cm-3（过饱和度S=0.3%）.对CCN的活化谱进行拟合表明石家庄属于典型大陆性核谱,云对CCN有消耗作用,逆温层的存在使得该区CCN浓度累积增加.

河北秋季层状云物理结构及适播性分析

利用2006-2010年河北省人工影响天气办公室对29块云体9架次飞机探测(或作业)资料,统计分析了河北地区秋季层状云气溶胶粒子、云凝结核CCN、小云粒子、大云粒子、降水粒子浓度和云粒子有效直径等物理特征。结果表明,河北地区适宜增雨作业的云系为中、低或高、中、低搭配的层状云,过冷层催化有利于云体发展,促使气流流入形成正反馈。适宜催化的作业层指标有:云层高度为4582 m,云内平均含水量≥0.1 g·m-3,所对应温度为-8.0℃,小云粒子浓度为236.5 cm-3。

珠三角城市环境对对流降水影响的模拟研究

采用具有2km分辨率的中尺度气象模式WRF及其耦合的单层城市冠层模式,以及Thompson云微物理方案,针对广州市附近发生的一次对流风暴过程,模拟研究了城市环境包括城市地表性质变化、城市空气污染可能引起的云粒子浓度增大现象对对流降水发展的影响问题。结果表明城市地表引起的热岛和干岛效应,可造成城市边界层高度升高,有利于城区附近辐合流场形成和不稳定能量增大。模拟结果显示,城市地表作用可在广州市南北各形成一个对流有效位能CAPE增大的辐合区,模拟对流降水回波起始发展于这些具有高不稳定能量的辐合区,并与观测雷达回波特征相一致,反映出城市地表对对流的起始发展及其发生位置有更直接作用。对流发展起来后,敏感试验反映出高云粒子浓度(污染)情形中有更多降水形成,降水增多可达20%以上。诊断分析发现降水增多与对流云中有更多雨水及过冷却云水形成有关系。增多的云水雨水通过相应的由于潜热释放增加引起的强上升运动被传送到较高层次,引起云中冻结过程及液态水和冰相物质之间的相互作用增强,从而导致更多冰相物质形成、降落地面降水增多。

山西省层状云微物理结构探测分析

针对山西省2009年6月18～19日的一次降水过程,利用机载DMT探测资料、Micaps常规天气资料和卫星云图等资料分析了这次降水的宏微观特征。结果表明:这次降水是锋面云系产生的,18日山西省处于冷锋锋前,19日为冷锋锋后;锋前云底较低,云层较厚,有夹层存在,云中上升气流很强,云滴数浓度最大为280cm-3、平均直径最大为15μm、含水量最大值为0.35g/m3,云滴谱呈双峰或多锋型;锋后云底较高,云层较薄,云滴数浓度最大值为170cm-3、平均直径最大为10μm、含水量最大值为0.05g/m3,云滴谱呈双峰或多锋型;层状云在垂直方向和水平方向均存在不均匀性;垂直方向含水量变化与云滴尺度变化较为一致,水平方向含水量增加主要因为大云滴数密度的增加;Γ分布拟合云滴谱结果接近实际分布。

秋季层状云中高值过冷水区的微物理特征

利用１１架次的机载“ＰＭＳ”资料，分析了山东秋季层状云中高值（大于０．１ｇ·ｍ^(－３)）过冷水区的微物理特征：最大过冷水含量为０．３６１ｇ·ｍ^(－３)，８４．０％的过冷水含量在０．１～０．２ｇ·ｍ^(－３)间，过冷水连续出现的宽度８６．１％小于３．０ｋｍ。雪晶形状以霰粒和小雪粒为主。２阶(函数可以很好地拟合云滴尺度谱，质量谱适合用对数正态函数拟合。

激光云粒子探测技术

云滴粒子探测器是人工影响天气的重要测量仪器之一,为建立可用于业务的云滴粒子探测器,对云滴粒子探测器的光学系统进行设计。该探测器使用单模光纤耦合输出的685 nm的激光作为光源,通过方形光阑和4 f光学系统产生均匀照明,接收系统中利用45°反射镜中心开孔抑制直接入射光,并用小孔光阑控制整个光学系统的景深。实验结果表明,激光整形后光束近似均匀,系统能对直接入射光具有较强的抑制能力、景深控制方案合理。利用小孔光阑模拟云滴粒子实验表明,该样机具有云滴粒子探测能力。

北京及周边地区2003年夏秋季气溶胶和云滴分布特征

对2003年夏秋季利用机载PMS在北京及周边地区进行的不同天气状况下6次气溶胶粒子探测资料进行了分析。结果表明,北京及周边地区气溶胶粒子的分布,在不同天气背景时有较大差别。粒子平均浓度的最大值为3.46×102cm-3,最大粒子浓度为5.26×103cm-3,相差一个量级;粒子平均最大直径为1.392μm,最大直径为2.75μm。粒子平均浓度的最小值为25.7cm-3。在有雾的天气条件下,气溶胶粒子浓度在近地层基本随高度的增加而减小,粒子尺度变化较为复杂。在阴雨天气情况下,气溶胶粒子浓度和尺度都有增加的现象。另外,逆温层底存在明显的气溶胶粒子累积。0℃层以下气溶胶粒子呈单峰分布,0℃层以上气溶胶出现双峰结构。小云粒子一直是多峰结构,峰值直径分别在3.5μm、12.5μm、23.5μm处。

云滴数浓度影响混合型层状云降水的数值模拟

使用耦合了Morrison双参数微物理方案的中尺度WRF模式V2.2,对2008年1月25—29日发生在我国南方的冰雪天气过程进行了数值试验。在模式准确再现了此次天气过程形势演变特点的基础上,对模式微物理方案中云滴数浓度影响累积降水量的情况进行了敏感性试验,发现云滴数浓度对降水量的影响是复杂和非线性的。对此次天气过程中的微物理量进行了详细的分析,并从各种水成物粒子的发展演变上,讨论了云滴数浓度的增加在暖云和冷云两种降水机制上对降水产生的不同影响。结果表明,云滴数浓度越大,云水混合比就越大,云滴的尺度越小。雨滴对不同云滴数浓度的响应与云滴的情况相反,随着云滴数浓度的增加,雨滴数浓度减小,雨水也减少,暖云降水过程受到了抑制;冰晶和雪晶的数浓度的演变过程没有明显变化,而冰晶和雪晶的混合比是相应增加的,冷云降水过程得到了一定程度的增强。从本文模拟的个例来看,设置不同云滴数浓度所得到的总累计降水量的差异在1%以内。总的来说,增加云滴数浓度,降水量会减少。从比例上来看,增加云滴数浓度对暖云降水过程的抑制作用比对冷云降水过程的增强作用更为显著,但是在本文模拟的个例中,冷云降水过程占主导地位,减少的降水和增加的降水的绝对值在同一个量级上并且数值相近,它们相互抵消后得到的结果是降水量变化的绝对值大大减小了,这解释了增加云滴数浓度后模拟的总累积降水量变化不明显的原因。