华北云凝结核分布及与云滴相互作用的观测研究

利用美国DMT公司生产的连续气流单过饱和度云凝结核计数器（DMT—CCN仪）,于2009年4月-7月在华北上空进行云凝结核观测,对不同天气现象下云凝结核的数浓度进行统计分析,研究了云凝结核的垂直分布特征以及水平穿云时云凝结核和云滴的相互作用和演变。     

青岛沿海地区夏季云凝结核浓度观测及分析

对1984年8月份山东半岛南部沿海地区云凝结核浓度观测资料进行了初步分析。结果得出:青岛流亭云凝结核浓度近地层位为10~3个/厘米~3左右,随高度分布只有少数遵循指数递减规律,从大陆沿半岛南部海域向东方向,云凝结核浓度水平分布逐渐减小,到东端陆地又有所升高,沿海地区云凝结核浓度小于内陆地区。并对云凝结核浓度与气象因子的关系进行了一些初步探讨。     

云凝结核浓度对北京一次降水过程影响的数值模拟

利用WRF v3.6.1模式,采用Thompson云微物理参数化方案对北京奥运会期间的一次降水过程进行了模拟,通过3组数值试验对比分析了高、中、低云凝结核浓度对降水的影响。数值试验结果显示:(1)在云凝结核浓度较低的情况下,云凝结核浓度增加使24 h累积降水量增加,且增加的幅度相对较低;在云凝结浓度较高的情况下,云凝结核浓度增加使24 h累积降水量减少,且减少的幅度相对较高。(2)从地面雨强分布来看,不同的云凝结核浓度对暴雨、大雨、中雨、小雨的影响均体现在降水强度上,对降水位相的影响不显著。(3)云凝结核浓度的变化对低云量的影响与其对降水的影响相一致,故低云量是影响降水的一个重要因素。     

基于航测的珠三角气溶胶垂直分布及活化特性

2017年9月14—27日在珠江三角洲地区开展了6个架次飞机观测试验。利用飞行获取的气溶胶、云凝结核、云滴及常规气象探头观测资料,结合天气形势、气象条件及气团后向轨迹分析,研究了珠江三角洲地区深圳气溶胶数浓度及其谱的垂直分布特征,配合不同过饱和度条件下云凝结核浓度观测,分析了气溶胶活化特性。结果表明:在不同天气条件下,深圳低层气溶胶数浓度变化范围为500~9000 cm-3;边界层内气溶胶分布相对均匀,谱型随高度变化与气象条件相关。将6个架次气溶胶观测资料根据数浓度及谱型分为3种类型:类型Ⅰ为海洋型气溶胶,数浓度小,粒子尺度大,谱型呈双峰分布;类型Ⅲ为大陆型气溶胶,数浓度高,粒子尺度小,谱宽较宽且呈三峰分布;类型Ⅱ为海洋大陆影响型气溶胶,即受海洋和大陆共同影响,数浓度低于类型Ⅲ高于类型Ⅰ,谱型为双峰分布。拟合了包含海洋型及大陆型气溶胶的3个架次近地面云凝结核活化谱,计算了气溶胶在不同过饱和度条件下的活化效率。     

黄河上游云凝结核观测研究

分析了2001、2001年8月在黄河上游的玛曲－河南县利用美国Mee公司的130型云凝结核计数器观测的资料，讨论了凝结核的谱型，浓度随饱和度、天气状况及一些气象要素变化的关系，通过与其它地方观测结果的比较，可以看出在地表植被较好的黄河上游牧区，人类活动、污染较少，其自然凝结核少，浓度与青岛的测值相近，与海洋过饱和核谱型接近。     

云凝结核对南京及周边地区夏季暴雨影响的数值模拟

利用WRF3.8.1模式,采用Thompson云微物理参数化方案,对南京2014年6月初的一次暴雨过程进行模拟;设置多组数值试验,从中选取清洁和严重污染两组试验,对比分析低、高云凝结核浓度对此次降水的影响。结果表明：1）Thompson方案对此次降水过程具有一定的再现能力,但对24 h累积降水量的模拟整体偏低,且随云凝结核浓度的上升,累积降水量增加。较高的云凝结核浓度有利于强降水中心强度增强、降水范围扩大,而对较弱降水中心则有相反的影响。2）云凝结核浓度的增加将抑制云滴向雨滴的转化,使更多云滴被输送到对流层中层,对流层低层的暖云过程被抑制。3）云凝结核浓度的增加使对流层中层的过冷云水增加,促进过冷云水向霰的转化,也促进雪的淞附过程,这有利于冷云过程的发展。4）云凝结核浓度的增加对暖云过程具有负反馈作用,对冷云过程具有正反馈作用。     

一次广东夏季沿海气溶胶的飞机探测研究

利用2019年7月16日新舟60飞机在广东省沿海的探测资料,分析了广东夏季沿海的气溶胶、云凝结核浓度以及粒子直径的典型空间分布特征.结果表明:随高度上升,气溶胶、云凝结核浓度先增大,后急剧减小,最后缓慢减小.在100～1 496、1 496～2 265、2 265～4 411 m的高度区间内,气溶胶浓度平均值分别为 1 725.3、534.3、13.1 cm-3;在 100～1 383、1 383～2 304、2 304～4 411 m 的高度区间内,云凝结核粒子浓度平均值约为304.0、107.7、4.1cm-3.气溶胶、云凝结核在2 000 m以下各层的浓度粒径谱较宽、谱峰更多、峰值直径较大.在气溶胶浓度高且粒径大、液态水含量高、过饱和度高的区域更有利于提升云凝结核的活化率.     

基于MODIS的春、夏季中国近海气溶胶对于云参数的影响差异研究

通过分析中国近海MODIS数据中气溶胶参数与云参数的相互关系,讨论了该区域气溶胶的间接效应及其对于云的可能影响.结果表明,在中国近海,气溶胶具有明显的间接效应,而且由于气溶胶种类和水汽的季节变化,使得气溶胶的间接作用具有很强的时间变化特征.在夏季,由于人为气溶胶占主导,它作为有效的云凝结核,使得气溶胶光学厚度（AOT）分别与云凝结核数（CCN）有正相关、与云滴有效半径（CER）有负相关性、与云光学厚度（COT）也存在着正相关,气溶胶的间接效应明显;在春季,由于沙尘气溶胶盛行,同时沙尘并不是很好的云凝结核,使得气溶胶光学厚度（AOT）分别与云凝结核数（CCN）的正相关减弱、与云滴有效半径（CER）则由夏季的负相关变为正相关、与云光学厚度（COT）存在弱的负相关,气溶胶的间接效应不明显.     

太原云凝结核的观测研究

本文利用连续气流纵向热梯度云凝结核仪对太原的云凝结核（CCN）进行了观测研究。结果表明,CCN数浓度具有明显的日变化特征。CCN数浓度一天中出现了两次峰值。降水、降雪对地面CCN具有明显的冲刷作用。本文根据关系式N=CS#拟合得到的地面CCN活化谱参数C值明显较大,k值较高,属于典型的大陆型核谱。     

硫酸盐气溶胶间接效应对中国东部冬季气候的影响

气溶胶间接效应通过对云的作用来影响气候,其过程复杂且不确定性较大。本研究利用美国国家大气研究中心（NCAR）的公共大气模式CAM5.1,通过改变模式中硫酸盐气溶胶转化为云凝结核数浓度的数量,设计了硫酸盐气溶胶间接效应的敏感性试验,通过与控制试验对比来研究其间接效应对中国东部地区冬季云、降水和季风强度的影响。结果表明：在东亚地区云凝结核形成过程中,硫酸盐气溶胶占绝对的主导地位。硫酸盐气溶胶间接效应导致中国东部地区冬季云凝结核和云滴数浓度显著增加,海洋和陆地低层的云滴有效半径减小和总云液水路径的增加,导致了云反照率的增加。引起的负辐射强迫使地表和大气降温,海平面气压升高,增加的海陆气压梯度导致中国南方地区东亚冬季风增强,总降水率减少。硫酸盐气溶胶间接效应可能不是东亚冬季风在20世纪80年代中期年际变率减弱的原因。     

Observations of Cloud Condensation Nuclei in North China

Using a DMT （Droplet Measurement Technologies） continuous flow streamwise thermal gradient cloud condensation nuclei （CCN） counter mounted on a Cheyenne IIIA aircraft, about 20 flights for aircraft mea- surements of CCN over North China were conducted in the autumn of 2005 and spring of 2006. According to the design for aircraft observation, the method of spiral ascent or descent in the troposphere was used for the vertical measurement of CCN, and some certain levels were chosen for horizontal measurement. The vertical distributions of CCN concentrations show that most CCN particles are concentrated in the low level of troposphere and CCN concentration decreased with height increasing. It suggests that the main source of CCN is from the surface. This result is consistent with former studies during 1983-1985 in China with a static thermal gradient CCN counter. The comparison of vertical observations between polluted rural area near Shijiazhuang and non-polluted rural area near Zhangjiakou shows that there is about five times difference in CCN concentration. But over two polluted cities, Shijiazhuang and Handan, there is no notable difference in CCN concentration. The horizontal flight measurements for penetrating the cumulus clouds experiment show the apparent decrease of CCN in clouds. It confirms that cloud has a definite consumptive effect on CCN particles because some CCN particles can form cloud droplets. The surface measurements of CCN in Shijiazhuang City were made during June-August 2005. The statistical CCN data show the great difference in concentration at the same supersaturation （S） in Shijiazhuang summertime. The minimum CCN concentrations were 584, 808, and 2431 cm-3, and the maximum concentrations were 9495, 16332, and 21812 cm-3 at S=0.1%, 0.3%, and 0.5%, respectively. CCN has a diurnal variation cycle. From 0600 BT, the concentration began to increase and reached the maximum at about noon. Then it generally decreased throughout the afternoon. The reason maybe is related to the onset o     

基于离子配对法的黄山地区云凝结核闭合研究

为了对黄山地区云凝结核（Cloud Condensation Nuclei,CCN）进行闭合研究,2014年6月30日至7月28日在黄山光明顶对大气气溶胶理化性质和CCN数浓度进行观测,分析了气溶胶化学组分、谱分布以及CCN数浓度随时间变化的特征,通过κ-Köhler理论并使用离子配对法计算得到CCN数浓度与观测得到的CCN数浓度进行对比。结果表明：计算与观测的CCN闭合结果较好,低过饱和度CCN闭合结果好于高过饱和度,过饱和度较低时低估了CCN数浓度,而过饱和度较高时则高估了CCN数浓度,由此说明气溶胶的化学组分数据对预测CCN数浓度至关重要,同时说明该方法可以实现CCN的闭合。考虑到40%水溶性有机碳（Water Soluble Organic Carbon,WSOC）对气溶胶粒子吸湿性影响,在较低过饱和度CCN闭合结果较好,但影响效果并不显著,尤其是在拟合结果相对较差的高过饱和度下基本没有影响。因此,气溶胶粒子中水溶性无机组分对CCN活化有重要影响,而含量较多、化学组分复杂并且吸湿性不确定的WSOC对CCN活化影响较为有限,这与一些研究得出无机组分对于气溶胶吸湿性的影响比具有复杂特征的有机组分更重要的结论相符合。     

晴空云凝结核垂直探测个例分析

利用机载DMT云凝结核计数器观测了2009年10月13日陕西关中西部晴空云凝结核（CCN）的垂直分布。分析结果显示：关中西部晴天地面CCN平均浓度在过饱和度为0.2%时大于10000个/cm3,大雾天气下地面CCN浓度明显高于晴天。CCN浓度随高度增加而递减,1500 m以下为高值区,1000 m、1550 m、4100 m、5500 m高度的CCN平均浓度在过饱和度为0.4%时分别为8827个/cm3、4439个/cm3、456个/cm3、504个/cm3。     

CCN Concentration in Troposphere over China

CCN concentration in the middle-lower troposphere over northern China was observed using a cloud condensation nucleus counter, MEE-130, installed on an IL-14 aircraft in the summer of 1983 and 1984. More than 60 sets of data (each flight as one set) were collected.The main results are: (1) in northern China, CCN concentration is 102-104/ cm3 near ground, decreases with increasing height and follows exponential distribution; (2) the local CCN concentration and its distribution with altitude are influenced by some meteorological factors: such as inversion, cloud and precipitation, wind and land-sea brce/.e etc. The inversion makes CCN significantly accumulate just below the inversion level; CCN concentration is lower inside clouds than outside clouds at same level; wind plays an important role of transporting CCN horizontally; (3) the CCN concentration is higher above the land than above the sea at same level; CCN concentration is one order of magnitude lower over the coastal cities like Qingdao than over     

华北部分地区云凝结核的观测分析

利用美国DMT公司生产的连续气流单过饱和度云凝结核计数器对华北部分地区地面和空中云凝结核（CCN）进行了观测研究。地面观测结果表明,太原由于污染严重CCN数浓度高于石家庄。CCN数浓度日最大值、日平均值均随过饱和度的增加而增大。CCN数浓度具有明显的日变化特征,与气象因子、人类活动有关。降水对地面CCN具有明显的冲刷作用。利用关系式N=CSk拟合太原地面CCN活化谱,C〉2200cm-3,k〈l,C、k值很高,属于典型的大陆型核谱。飞机观测资料显示,CCN主要来源于地面,数浓度随高度增加明显减少。高空风向发生变化时,长距离气团输送提供CCN二次源。云对CCN有消耗作用,云内CCN比云外明显减少。     

CCN concentration in troposphere over China

CCN concentration in the middle-lower troposphere over northern China was observed using a cloud condensation nucleus counter, MEE-130, installed on an IL-14 aircraft in the summer of 1983 and 1984. More than 60 sets of data (each flight as one set) were collected. The main results are: (1) in northern China, CCN concentration is 10²-10⁴/ cm³ near ground, decreases with increasing height and follows exponential distribution; (2) the local CCN concentration and its distribution with altitude are influenced by some meteorological factors: such as inversion, cloud and precipitation, wind and land—sea breeze etc. The inversion makes CCN significantly accumulate just below the inversion level; CCN concentration is lower inside clouds than outside clouds at same level; wind plays an important role of transporting CCN horizontally; (3) the CCN concentration is higher above the land than above the sea at same level; CCN concentration is one order of magnitude lower over the coastal cities like Qingdao than over the continental cities like Zhengzhou; (4) all these suggest that CCN in northern China comes mainly from continental surface layer. Densely—populated areas and industrial areas may produce more CCN.     

Cloud condensation nuclei from biomass burning during the Amazonian dry-to-wet transition season

Aircraft measurements of cloud condensation nuclei (CCN) during the Large-Scale Biosphere–Atmosphere Experiment in Amazonia (LBA) were conducted over the Southwestern Amazon region in September–October 2002, to emphasize the dry-to-wet transition season. The CCN concentrations were measured for values within the range 0.1–1.0% of supersaturation. The CCN concentration inside the boundary layer revealed a general decreasing trend during the transition from the end of the dry season to the onset of the wet season. Clean and polluted areas showed large differences. The differences were not so strong at high levels in the troposphere and there was evidence supporting the semi-direct aerosol effect in suppressing convection through the evaporation of clouds by aerosol absorption. The measurements also showed a diurnal cycle following biomass burning activity. Although biomass burning was the most important source of CCN, it was seen as a source of relatively efficient CCN, since the increase was significant only at high supersaturations.     

Cloud Condensation Nuclei over the Bay of Bengal during the Indian Summer Monsoon

The first measurements of cloud condensation nuclei(CCN) at five supersaturations were carried out onboard the research vessel "Sagar Kanya"(cruise SK-296) from the south to the head-bay of the Bay of Bengal as part of the Continental Tropical Convergence Zone(CTCZ) Project during the Indian summer monsoon of 2012. In this paper, we assess the diurnal variation in CCN distributions at supersaturations from 0.2% to 1%(in steps of 0.2%) and the power-law fit at supersaturation of 1%.The diurnal pattern shows peaks in CCN concentration(NCCN) at supersaturations from 0.2% to 1% between 0600 and 0700 LST(local standard time, UTC+0530), with relatively low concentrations between 1200 and 1400 LST, followed by a peak at around 1800 LST. The power-law fit for the CCN distribution at different supersaturation levels relates the empirical exponent(k) of supersaturation(%) and the NCCNat a supersaturation of 1%. The NCCNat a supersaturation of 0.4% is observed to vary from 702 cm~(-3) to 1289 cm~(-3), with a mean of 961 ± 161 cm~(-3)(95% confidence interval), representing the CCN activity of marine air masses. Whereas, the mean NCCNof 1628 ± 193 cm~(-3) at a supersaturation of 1% is higher than anticipated for the marine background. When the number of CCN spectra is 1293, the value of k is 0.57 ± 0.03(99% confidence interval)and its probability distribution shows cumulative counts significant at k ≈ 0.55 ± 0.25. The results are found to be better at representing the features of the marine environment(103 cm~(-3) and k ≈ 0.5) and useful for validating CCN closure studies for Indian sea regions.