气溶胶核化清除的化学效应──Ⅱ：动力学参数对云滴化学非均匀性的影响

运用已建立的气溶胶核化清除的物理化学模式，研究了云的动力学因子（如：气块上升速度、夹卷作用）对云滴化学非均匀性的影响。计算结果表明：较强烈的云发展（较大的气块上升速度）可加强由于气溶胶核化和云滴凝结增长造成的云滴化学的非均匀程度。夹卷作用抑制了云的发展，因而减弱了这种非均匀程度。夹卷作用同时也造成总体液态水中Ｓ（ＶＩ）、Ｈ＋等浓度的增加，在Ｓｍａｘ附近可达１个量级。如果考虑气溶胶粒子的夹卷，则可使气块内云滴污染物浓度随云滴大小的变化更加复杂化，如：不仅云滴污染物浓度随云滴大小而变化，即使对于相同大小的云滴之间，其污染物浓度也可相差很大。     

气溶胶核化清除的化学效应 II:动力学参数对云滴化学非均匀性的影响

运用已建立的气溶胶核化清除的物理化学模式，研究了云的动力学因子（如:气块上升速度、夹卷作用）对云滴化学非均匀性的影响。计算结果表明:较强烈的云发展（较大的气块上升速度）可加强由于气溶胶核化和云滴凝结增长造成的云滴化学的非均匀程度。夹卷作用抑制了云的发展，因而减弱了这种非均匀程度。夹卷作用同时也造成总体液态水中S(VI)、Ｈ+等浓度的增加，在Ｓｍａｘ附近可达１个量级。如果考虑气溶胶粒子的夹卷，则可使气块内云滴污染物浓度随云滴大小的变化更加复杂化，如:不仅云滴污染物浓度随云滴大小而变化，即使对于相同大小的云滴之间，其污染物浓度也可相差很大。     

云滴谱湍流拓宽和暖雨形成过程:综述（英文）

研究目的:介绍暖云降水之谜,总结湍流起伏和夹卷对云滴谱拓宽和暖雨形成过程的影响,包括观测、实验、模拟和理论方面取得的成果。重点阐述我国上世纪五六十年代在湍流起伏方面的突出成绩。重要结论:过饱和度、云滴数浓度、含水量和垂直速度等的起伏对凝结和碰并过程有显著影响。中国和俄罗斯科学家最早把随机凝结过程引入到云物理研究中。夹卷过程可能是暖云降水之谜的一个解。系统理论表明:湍流强度越大,云滴谱越宽。     

广西秋季层状云微物理特征分析

利用2012年11—12月在广西进行的11架次飞机云物理探测资料对层状云宏微观物理结构特征进行研究,探讨层状云降水机制。结果表明:广西层状云微物理特征与我国其他地区的存在显著差异。层状云典型的微物理垂直结构为在云下层是由凝结作用生成云滴,随上升气流发展,云滴数浓度、平均直径和液态水含量随高度逐步增加,云滴谱拓宽,谱型向大尺度的方向扩展,至云中上层增大至最大值后随高度减小。冷暖混合云结构的高层云冷云部分的冰相粒子落入暖层后对其微物理结构产生影响,主要是使云滴谱展宽,CIP云滴平均直径垂直分布变幅增大,有利于暖层中碰并过程的启动和发展。层积云微物理水平分布呈现不连续跳跃式变化特征,存在对流泡结构,对流泡内各微物理量高于泡外,云滴谱型向大尺度移动,对流泡结构是层积云形成降水的重要机制。     

大陆性浓积云云滴谱离散度影响因子的飞机观测研究

利用2020年7月30日山西省人工增雨防雷技术中心在山西省忻州地区开展的大陆性浓积云飞机探测资料，分析了积云微物理参量、云滴谱离散度随时间和高度的变化以及云滴谱离散度的影响因子。结果表明，该大陆性浓积云云滴谱离散度随高度的增加先递增后递减，但变化范围较小。云滴谱离散度随数浓度、含水量增大而逐渐收敛，呈弱正相关关系；离散度与体积平均半径的相关性随体积平均半径的增大由正转负，与垂直速度呈现正相关关系。云中碰并过程对云滴谱离散度及其影响因子影响较大，建议未来云滴谱离散度的参数化增加对碰并过程的考虑。     

夹卷混合过程及其影响因子对云内过饱和度的影响

云内过饱和度是影响云宏微观物理特性的关键之一。利用显式混合气泡模式,首先研究了云滴周围过饱和度在夹卷混合过程中的演变特征,结果表明:过饱和度先因干空气作用减小,后因云滴蒸发作用增大,直到气块恢复饱和。随后分析了不同的热力、动力和微物理因子对过饱和度的减小幅度和饱和恢复快慢程度的影响。敏感性试验表明:减幅小、恢复快的因子是较大的卷入空气相对湿度和初始云滴数浓度;相对湿度越大,夹卷的影响越小;数浓度越大,云滴尺度越小,蒸发越快,对湿度的补充越强。减幅大、恢复慢的因子是较大的卷入空气比例;卷入空气越多,蒸发量越大。减幅大、恢复快的因子是较大的湍流动能耗散率;混合过程越快,云滴蒸发越快。研究结果有助于提升对夹卷混合过程和暖云降水理论的理解。     

层积云与积云中的微物理特征及其影响因子

美国大气辐射观测项目组进行的浅薄低云的光学辐射观测项目(RACORO)对出现在美国南部大平原的低云开展了为期五个月的观测,得到了大量层积云和积云中的数据。为了探究在层积云和积云中的微物理特征,采用伽马分布、对数正态分布、威布尔分布对微物理量的概率密度分布进行拟合,分析对比层积云和积云中微物理量的特征,并探讨两种云云滴谱离散度的影响因子。结果表明,以上三种概率分布函数对层积云和积云中的微物理量的概率密度分布拟合效果很好,绝大部分总体拟合度达到了0.80以上。综合看来,伽马分布对层积云内的微物理量拟合效果最好,对数正态分布对积云内的微物理量拟合效果最好。对比层积云与积云中微物理量的分布差异得到,在积云中云滴数浓度更高,而云滴的平均半径更小;积云含水量、标准差和离散度与层积云相当。在云滴谱离散度的影响因子方面,层积云和积云中离散度与云滴数浓度、垂直速度呈负相关关系,这是因为垂直速度越大,过饱和度越大,云滴浓度越大,离散度越小;垂直速度减小往往对应着夹卷增强和云滴蒸发,从而导致云滴浓度减小和离散度增大。     

华北地区气溶胶混合状态对暖云微物理特征的影响

在UWyo单组分气溶胶的绝热气块分档云模式基础上,发展了多种化学组分气溶胶的绝热气块分档云模式。利用2006年春季华北地区地面气溶胶分级采样的离子成分分析数据和同时段高空气溶胶、云微物理飞机观测资料,研究了气溶胶混合状态对暖云微物理特征的影响。模拟结果表明,华北地区气溶胶内部混合比外部混合有利于增加云凝结核数浓度、降低气块水汽最大饱和比、增加云滴数浓度。气溶胶的混合状态不同,形成的云滴谱的特征差异较大,主要体现在云滴谱的平均尺度和峰值的突出程度;云滴谱相对离散度在0.3附近变化,且随着云滴数浓度的增加,云滴谱相对离散度呈现减小的趋势。气溶胶混合状态能够影响暖云微物理特征,从而影响大气辐射和降水过程,在天气和气候变化的研究中应予以关注。     

内蒙古中部地区一次典型层状云的云微物理结构特征分析

文章利用机载云粒子探测设备对2020年9月13日在内蒙古地区探测获得的一次云飞行个例资料,通过分析云内微物理结构特征发现飞机在爬升阶段和下降阶段云滴数浓度(N_c)和液水含量(LWC)存在明显的起伏,说明云系在垂直方向不均匀,同时发现云内的N_c与LWC的变化趋势较为一致,云滴有效半径(ED)最大值出现在4000～5000 m高度附近,显示在该高度区间为云滴尺度增长的主要部位;分析云滴谱发现,小粒子段谱线高于大粒子段,是由于云内主要为凝结增长过程,小云滴的增长速度远快于大云滴;同时由于云内上升气流作用,在3500 m以上存在LWC和ED随高度逐渐增大的趋势且存在峰值,因此云滴谱显示高层尺度较大的云滴多于低层;并且通过对云滴谱离散度(ε)的计算,讨论ε与N_c的关系发现,在N_c较高时ε出现整体收敛,并且随着LWC的增大,ε与N_c的负相关关系逐渐明显。     

一次降水性积层混合云系的微物理特征分析

利用山东省2007年10月27日1架次机载粒子测量系统（Particles Measuring System,PMS）积层混合云探测资料,分析了云中粒子浓度和尺度、液态含水量,以及小云滴和大云滴谱的垂直分布特征,比较了催化前后云微物理特征的变化。结果表明,催化前,云层中小云滴谱型为单峰,谱宽随高度增加先变窄后变宽,大云滴谱型在云低层为单峰,中高层为双峰谱,谱宽随高度增加先变宽后变窄,并且没有探测到降水粒子。催化后,小云滴尺度在低层减小、高层增加,整层液态水含量减小;大云滴浓度增加,尺度增大,出现降水粒子,固态粒子类型增多。在3 700~4 000 m高度层内小于10μm粒子明显增加,说明凝结过程比较明显,并且10~27.5μm粒子开始出现,启动了云滴的碰并机制。小云滴谱变化较小,基本为单峰谱,但在较大云滴处谱型略有起伏,在3 000m和3 300m高度的谱宽增宽。大云滴粒子谱有较大的变化,低层变成双峰谱,谱宽最宽可达650μm,中高层为双峰或多峰,峰值从小值向较大值移动。2D-P探头在催化云高层探测到降水粒子,谱型呈单调下降形态,谱宽最大为600μm。     

从夹卷的角度探讨雾不同阶段微物理量的变化机理

夹卷混合过程作为影响云雾的主要物理过程之一,对云雾的生命周期、云雾降水的形成过程、辐射传输过程和气溶胶间接效应等都有着重要影响。本文从微物理和动力两个方面探讨辐射雾中的夹卷混合机制,既促进对夹卷混合机制的理论认识,又从新的角度来讨论辐射雾的发展消亡过程。利用2006年和2007年冬季在南京进行的雾综合观测的资料,研究了9个个例中的夹卷混合机制。首先,针对2007年12月10～11日这一次辐射雾过程进行详细分析,探讨了不同阶段微物理量的变化和夹卷混合机制。结果表明:成熟阶段主要为极端非均匀夹卷混合机制,数浓度和含水量同时减小,体积平均半径却基本保持不变;快速消散阶段主要为均匀夹卷混合机制,各微物理量同时减小,互为正相关关系。除了微物理,本文也分析了夹卷混合机制的动力特征,计算了过渡尺度数,发现在成熟（快速消散）阶段,过渡尺度数小（大）,有利于极端非均匀（均匀）夹卷混合机制的发生。其次,分析了其他8个个例中微物理量之间的相关关系,发现体积平均半径和含水量之间主要呈正相关关系,以均匀夹卷混合为主。所得结果有助于夹卷混合机制参数化方案的开发,同时为辐射雾的模拟预报提供参考。     

三参数云微物理方案中气溶胶谱函数对云滴谱影响的数值模拟研究

观测和分档方案的数值模拟都证明气溶胶的谱分布特征对云滴谱的演变有直接影响继而作用于降水的发展。目前广泛使用的总体双参数云滴谱方案因为表征云滴谱的预报量不足,在凝结过程中云滴谱呈不正常的拓宽现象。因此在参数化方案中,气溶胶谱对云滴谱的影响未有明确结论。中科学院大气物理研究所(IAP)云降水物理与强风暴重点实验室(LACS)新研发的三参数方案(IAP-LACS)通过增加的预报量克服了云滴谱的拓宽问题,提高了云滴谱模拟的准确性。为了研究在参数化方案中气溶胶谱分布特征对云滴谱的影响,本文采用新方案进行WRF(Weather Research and Forecasting mode)大涡理想性试验,验证了新方案中气溶胶对数正态谱函数中数浓度、几何半径和标准差3个参量对云滴谱演变的影响。针对3个参量的敏感性试验表明新的气溶胶活化方案和三参数云滴凝结增长方案能够描述气溶胶谱对云滴谱演变的影响规律:气溶胶数浓度对云滴谱影响最显著,数浓度越高活化生成的云滴数量越多,云滴半径越小,云滴谱趋向窄谱,气溶胶数浓度低时,云滴数量少、半径大。较大的几何半径使气溶胶谱向大粒径移动,导致大云滴生成,标准差对云滴谱的影响最不显著。     

Examination of Microphysical Relationships and Corresponding Microphysical Processes in Warm Fogs

In this paper, the microphysical relationships of 8 dense fog events collected from a comprehensive fog observation campaign carried out at Pancheng（32.2 N, 118.7 E） in the Nanjing area, China in the winter of 2007 are investigated. Positive correlations are found among key microphysical properties（cloud droplet number concentration, droplet size, spectral standard deviation, and liquid water content） in each case, suggesting that the dominant processes in these fog events are likely droplet nucleation with subsequent condensational growth and/or droplet deactivation via complete evaporation of some droplets. The abrupt broadening of the fog droplet spectra indicates the occurrence of the collision-coalescence processes as well, although not dominating. The combined efects of the dominant processes and collision-coalescence on microphysical relationships are further analyzed by dividing the dataset according to visibility or autoconversion threshold in each case. The result shows that the specific relationships of number concentration to volume-mean radius and spectral standard deviation depend on the competition between the compensation of small droplets due to nucleation-condensation and the loss of small droplets due to collision-coalescence. Generally, positive correlations are found for diferent visibility or autoconversion threshold ranges in most cases, although negative correlations sometimes appear with lower visibility or larger autoconversion threshold. Therefore, the compensation of small droplets is generally stronger than the loss, which is likely related to the sufcient fog condensation nuclei in this polluted area.     

Cloud condensation nuclei and cloud droplet measurements during ACE‐2

During the 2nd Aerosol Characterization Experiment (ACE‐2), relationships between stratocumulus cloud properties and aerosols were examined. Here, the relevant measurements including the cloud condensation nuclei (CCN) activation spectrum, updraft velocity, cloud microphysical and aerosol properties are presented. It is shown that calculations of droplet concentration based on updraft velocity and the CCN activation spectrum are consistent with direct observations. Also discussed is an apparent disparity among measurements of the CCN activation spectrum, the accumulation mode size distribution, and the composition of the submicrometric aerosol. The observed consistency between CCN, updraft and cloud droplets is a necessary refinement; however, extended analyses of the ACE‐2 data set are needed to guide improvements in model simulations of the interaction between aerosols and cloud microphysics. In particular, there is need for an examination of aerosol size spectra and chemical composition measurements with a view towards validating droplet activation schemes which relate the aerosol and cloud dynamical properties to cloud albedo.     

The effect of aerosol representation on cloud microphysical properties in Northeast Asia

This study performed a three-dimensional regional-scale simulation of aerosol and cloud fields using a meso-scale non-hydrostatic model with a bin-based cloud microphysics. The representation of aerosols in the model has been improved to account for more realistic multi-modal size distribution and multiple chemical compositions. Two case studies for shallow stratocumulus over Northeast Asia in March 2005 were conducted with different aerosol conditions to evaluate model performance. Improved condensation nuclei (CN) and cloud condensation nuclei (CCN) are attributable to the newly constructed aerosol size distribution. The simulated results of cloud microphysical properties (cloud droplet effective radius, liquid water path, and optical thickness) with improved CN/CCN number are close to the retrievals from satellite-based observation. The effects of aerosol on the microphysical properties of shallow stratocumulus are investigated by model simulation, in terms of columnar aerosol number concentration. Enhanced aerosol number concentration results in increased liquid water path in humid case, but invariant liquid water path in dry case primarily due to precipitation occurrence. The changes of cloud microphysical properties are more predominant for small aerosol burden than for large aerosol burden with the retarded changes in cloud mass and size due to inactive condensation and collision-coalescence processes. Quantitative evaluation of sensitivity factor between aerosol and cloud microphysical properties indicates a strong aerosol-cloud interaction in Northeast Asian region.     

华北中部夏季气溶胶和云分布特征

气溶胶与云的垂直分布特征是气溶胶间接气候效应关注的重点。基于2018年7—8月华北中部6架次飞机观测数据,研究气溶胶和云滴的垂直和水平分布特征。结果表明:华北中部780~5687 m高度内气溶胶数浓度( N_a )平均值为821.36 cm-3,最大量级可达到104 cm-3,云中气溶胶数浓度(N_acc)占总颗粒浓度的80%以上,表明细颗粒占大多数,气溶胶粒子算术平均直径( D_m )平均值为0.12~0.52 μm;大气层结对气溶胶垂直分布影响较大,逆温阻挡气溶胶垂直输送,高空(高度2000 m以上) D_m 的垂直分布受到相对湿度影响较大; N_a 和 D_m 在垂直方向波动较大,水平方向波动较小;低层云中云滴数浓度(N_c)较大、液态水含量(L)较小,而中层和高层云中N_c较小、L较大,N_c和云滴有效半径(R_e)的概率密度函数均为双峰型分布,L的概率密度函数为单峰型分布;气溶胶数浓度谱基本呈现多峰型分布,而云滴数浓度谱多呈现单峰型分布。     

A two-moment parameterization of aerosol nucleation and impaction scavenging for a warm cloud microphysics: description and results from a two-dimensional simulation

A new two-moment warm bulk scheme has been developed including explicitly nucleation and impaction scavenging of aerosol particles as well as all other microphysical processes. The scheme is built upon a quasispectral representation of the aerosol particle, cloud droplet and raindrop distributions. It predicts mixing ratios and number concentrations for each category. Each process is treated explicitly and independently to establish an analytic expression for each contribution for the time-dependant microphysical equations. The scheme has been tested in the dynamical framework of a two-dimensional kinematic model, developed for the Hawaiian Rainband Project (HaRP, 1990). In this frame, the scheme has performed reasonably well compared to the observations as well as to other similar parameterization schemes, and to the spectral model DESCAM.Sensitivity tests demonstrate the great sensitivity of the scheme to the initial aerosol spectrum characteristics. Moreover, they have also shown its capability to calculate nucleation and impaction scavenging and to follow the taken up particle mass in the cloud and raindrop spectra until the deposition on the ground by the rain.Therefore, the parameterization offers a possibility of treating the evolution of the liquid phase of the cloud together with the aerosol particle scavenging. However, due to the severe limitations of a two-dimensional kinematic model, the scheme needs to be further validated in a three-dimensional dynamical model.     

华北中部夏季气溶胶垂直分布及其与云凝结核和云滴转化关系的飞机观测研究

气溶胶的时空分布及其核化成云的转化过程是云降水物理研究的重点,也是气候变化中气溶胶间接效应关注的热点问题。利用2013～2014年期间在华北中部山西地区开展的9架次夏季晴天和积云天气情况下的气溶胶、云凝结核（CCN）及云滴数浓度观测资料,分析研究了气溶胶的垂直分布、谱分布、来源特征及其与云凝结核、云滴数浓度的转化关系。研究结果表明,大气边界层逆温层结对气溶胶、CCN垂直分布有重要影响,不同天气条件下气溶胶谱型在低层差异较大而高层基本一致;垂直方向上CCN数浓度与气溶胶数浓度有较好的相关性,过饱和度0.3%条件下CCN比率（云凝结核/凝结核）与气溶胶有效直径呈线性关系;积云云下气溶胶与云滴的线性拟合方程为y=1.3x?616.3,拟合相关系数为0.96,气溶胶转化为云滴的比率可达到47%。在过饱和度0.3%条件下,云下CCN与云滴的线性拟合方程为y=1.6x?473.8,拟合相关系数也为0.96,CCN转化为云滴的比率可达到69%。     

Adiabatic predictions and observations of cloud droplet spectral broadness

The evolution of cloud droplet size spectra is calculated using an adiabatic condensational growth model. Broadness (e.g., standard deviation of diameter) of cloud droplet spectra in adiabatic cloud parcels was determined to be critically dependent on cloud supersaturation. Although droplet spectra become narrower as growth continues, the rate of narrowing is slower when cloud supersaturation is lower. This actually leads to broader droplet spectra for more continental clouds or for weaker updrafts because both of these conditions are associated with lower cloud supersaturations. More continental type clouds, which have higher concentrations of smaller droplets, were indeed found to have larger dispersions (standard deviation of diameter/mean diameter of cloud droplets). Some of these results were consistent with observations, but the larger dispersions that were much more commonly observed for continental compared to maritime clouds were due almost exclusively to smaller droplets rather than broader droplet distributions. Contrary to the model calculations, typical observations show that cleaner clouds usually have broader droplet spectra. The gaps in magnitude between theory and observations of broadness are significant in all clouds. When cloud parcels that had ascended under different updraft conditions were compared at a constant cloud altitude, parcels with lower updrafts were predicted to have broader droplet spectra with larger mean diameters. This trend of apparent spectral broadening was consistent with observations for some near-adiabatic cloud parcels.     

一次南海海雾微物理结构个例分析

本文利用2010年3月22～23日广东省湛江市一次海雾过程的雾滴谱和能见度资料,分析了海雾的微物理特征及微物理参量(数浓度、液态含水量和平均直径)之间的相关性,并讨论了影响海雾的主要物理过程。结果表明:湛江地区海雾的平均雾滴谱符合Junge分布;在海雾发展和成熟阶段,雾滴谱拓宽过程以及数浓度与平均直径的正相关关系表明本次海雾过程主要以雾滴活化和凝结增长过程为主;湍流过程的参与使得雾滴混合均匀,雾滴平均直径向3.5 μm附近集中,趋向平均化。同时湍流使雾体内部和外部空气交流,外部空气的凝结核核化,数浓度升高,凝结增长造成小雾滴变大。