华北一次浓雾过程爆发性增强的微物理特征

基于华北雾-霾综合观测试验资料,分析了2011年12月4日河北涿州一次浓雾过程爆发性增强的微物理特征及形成机理。结果表明:此次浓雾过程除具有均压场、地面辐射降温、逆温层、静稳天气等特征外,还具有雾微物理过程出现爆发性增强的特征,10 min内,小雾滴浓度显著增加,含水量增大了3个量级,雾滴谱由15 μm拓宽到35 μm,能见度由500 m骤降至70 m。夜间地面长波辐射冷却效应导致近地层雾的形成,而近地层雾的形成反过来快速地增强了地面长波辐射冷却效应,促使大量小雾滴的形成和碰并过程的产生,这是一种正反馈效应;大量雾滴形成释放的潜热,促使雾体抬升和向下长波辐射增强,又使地面长波辐射冷却效应减弱,产生负反馈效应。相对于南京辐射雾过程,此次涿州浓雾的小雾滴粒子数浓度高,液态水含量明显偏小,这与华北高浓度气溶胶和弱水汽输送有关。     

2006年12月南京连续4天浓雾的微物理结构及演变特征

2006年12月24-27日南京地区出现了连续4天的浓雾天气,其中能见度小于50 m的强浓雾持续了40多个小时.利用FM-100型雾滴谱仪,连续观测了雾滴谱、数密度和含水量等微物理参量.结合自动气象站及能见度仪观测资料,分析了这次浓雾过程的微物理特征,并与1996年观测结果进行对比:雾滴的平均含水量和平均直径与1996年观测结果相当,含水量最大值比1996年观测结果大4倍,数密度比10年前小.认为前2个子过程的雾滴数密度、含水量很高,造成了南京奉次大雾能见度长时间低于50 m的恶劣天气.结合边界层探空资料,认为形成这种强浓雾的主要原因足近地层持续存在强盛的水汽平流,具有平流雾的特征.根据雾微物理参量的起伏变化,将浓雾过程分成4个子过稃,分析并比较了4个子过程的雾滴谱分布,总过程的谱分布及4个子过程的谱分布都服从Dcirmendjian分布,谱型都基本呈指数下降,雾滴主要集中存小滴段.最后,对第一个子过程微物理参量的变化特征进行了细致分析.发现这次浓雾是在夜间晴空辐射降温后形成的,午夜最强,日出后随着气温的升高逐渐减弱,反映了辐射雾的口变化特征.另外,还发现雾形成以后,开始变化不大,但随着进一步辐射降温,地面雾团不断产牛,雾爆发性发展.     

南京冬季浓雾的演变特征及爆发性增强研究

2007年12月18—19日,南京地区出现了一次持续20h的浓雾过程,其中能见度低于50m的强浓雾几乎占到整个雾过程的1／3。利用同期在南京市北郊的外场观测数据,结合NCEP再分析资料,分析了该次雾的演变过程、微物理结构及边界层特征,探讨了地面雾爆发性增强的成因。结果表明：本次雾在西南平流的增湿作用下触发生成;日出后,平流输送和地表蒸发提供了充足水汽来源,贴地层逆温因高空下沉增温而向上抬升且稳定存在,因此大雾得以维持;整个雾过程中雾滴数浓度、平均直径、含水量随时间的变化趋势基本一致,平均谱曲线均呈指数下降分布,雾滴集中在小滴端;两次地面雾爆发性增强均发生在夜间,其特征为各微物理参量明显增大,滴谱上抬拓宽;爆发性增强的原因是地表气温陡降、贴地层逆温增强及可充当雾滴凝结核的气溶胶大粒子数增多。     

南京冬季雾爆发性增强的物理特征研究

根据2006年12月在南京市郊观测的3次浓雾过程(12月12日、14日和24~27日)资料,分析了雾的发展过程及爆发性增强特征,探讨了雾体爆发性增强的原因。结果表明:南京冬季雾爆发性增强的物理特征是在很短时间内(30 min以内),能见度急剧下降,雾滴数密度和含水量明显增加、尺度明显增大、雾滴谱变宽。究其原因,发现夜晚长波辐射增强或近地层出现冷平流造成的气温急剧下降,日出后地表水分蒸发或西南湿平流增强造成的湿度明显增大以及湍流混合作用,都能导致雾体爆发性增强。     

济南爆发性增强冬季雾的物理特征分析

利用宏、微观观测资料,分析了济南4次出现爆发性增强冬季雾过程的类型以及形成、发展、减弱和消散的主要机制,研究了形成、发展、成熟和减弱阶段,以及爆发性增强期间的微物理演变特征,探讨了爆发性增强的触发机制。结果表明：1）夜间地面长波辐射及弱冷空气入侵造成的气温下降是济南冬季雾形成和发展的主要因素,干冷空气入侵或日出后太阳辐射加热升温,近地层相对湿度下降是雾消散或减弱的主要机制。2）形成阶段,核化和凝结增长过程启动但并不活跃,碰并强度很弱,以未碰并和偶发碰并为主;发展阶段,核化和凝结增长等微物理过程开始活跃,碰并过程启动,大滴开始增多;成熟阶段,核化、凝结和碰并增长非常活跃,各微物理量均达到最大值,谱最宽;减弱阶段,核化、凝结过程减弱,碰并过程减弱并消失,雾滴蒸发,能见度增大。3）爆发性增强的宏观物理特征主要表现为极大风速增大、气温下降、相对湿度增大、水汽压下降;微观物理特征主要表现为数浓度、液态含水量等微物理量出现跃增,以及谱型由“单峰”结构突变为“多峰”结构。4）相对湿度增大主要与气温下降有关,水汽压下降则与异常活跃的凝结增长有关;气温下降是济南冬季雾爆发性增强的直接原因,弱水汽输送产生的增湿作用对爆发性增强具有一定的促进意义。     

济南冬季雾的微物理结构及其对能见度的影响

2016年12月19日至2017年1月9日,受静稳天气影响,济南接连出现了10次大雾等级以上天气过程,期间最低能见度不足50 m,持续的大雾天气严重影响了工农业生产和人民生活。本文利用10次冬季雾期间雾滴谱仪、自动站等观测资料,分析了济南不同强度冬季雾的微物理结构特征,分析了其中的微物理过程及强度,探讨了微物理结构、微物理过程对能见度（ V ）的影响。结果表明:（1）济南冬季雾强度不同,其谱分布具有明显的差异,在雾变浓的过程中,谱型由“单峰”结构逐渐向“多峰”结构发展。（2）数浓度对能见度具有较好的指示意义,液态含水量、离散度等对能见度指示意义不稳定。（3）环境温度与核化、凝结和碰并增长（或蒸发）等微物理过程密切相关;核化、凝结增长是济南冬季雾发展过程中最主要的微物理过程,在整个雾过程中起主导作用。（4）碰并过程主要发生在发展和成熟阶段,在生成和减弱阶段很弱,以未碰并或偶发碰并为主。（5）自转化率计算结果表明,在V≥200 m的雾中,碰并过程很少发生;在100 m≤V<200 m的强浓雾中,以未碰并或间断碰并为主;碰并过程主要出现在V<100 m等级的强浓雾和特强浓雾中;与V<50 m的特强浓雾相比,50 m≤V<100 m的强浓雾中碰并过程发生的概率更大、强度更强。（6）在济南冬季特强浓雾中含有大量的小雾滴,但各微物理量的最大值、最大的起伏变化并未出现在特强浓雾中,而是出现在50 m≤V<100 m强浓雾中,这可能与强浓雾中较强的碰并过程有关,碰撞过程中产生的并合和破碎可能是微物理量起伏变化最大的主要原因。（7）利用雾滴谱资料计算的能见度与实测值在变化趋势上具有较好的一致性,但比实测值大1～2个数量级,这可能主要与雾中大量的气溶胶粒子有关,对于污染大气,基于雾滴谱仪观测资料来估算雾中的大气能见度是不够的,必须同时考虑气溶胶粒子对能见度的影响。     

南京市冬季雾的物理化学特征

为研究南京冬季浓雾的宏微观物理结构和物理化学过程,揭示空气污染物与雾水化学结构的关系,2006—2007年冬季,在南京信息工程大学院内进行了雾的综合观测试验。观测项目包括雾的宏微观结构、雾水化学、大气气溶胶粒子谱及化学成分、辐射和热量平衡各分量、湍流以及常规气象和环境监测。在雾的生消过程中,各项目的观测是连续进行的。两年共观测到27次雾过程,并采集到37个雾水样本。按其形成,将南京冬季雾分为辐射雾、平流辐射雾和蒸发雾三类。该文详细分析了各类雾的宏微观结构,研究了强浓雾(能见度小于50m)发展的物理过程。结果指出,南京冬季雾多属暖雾,雾顶高度以平流辐射雾最高,平均顶高851m,辐射雾次之,平均顶高486m,蒸发雾偏低,平均顶高428m;各微物理参数均以平流辐射雾最大,辐射雾次之,蒸发雾最小,平流辐射雾含水量最大时可达1g/m3。通过对微物理参量连续变化分析发现,平流辐射雾和辐射雾进入强盛阶段时,都具有明显的爆发性增强特征。雾水化学分析结果表明,南京雾水离子浓度比较高,酸雾约占43%,属于硫酸型,均与空气污染物SO2、NO2和颗粒物有关。     

一次深厚浓雾过程的边界层特征和生消物理机制

2007年12月13-14日,南京出现一次厚度达600 m、持续近14 h的浓雾过程,其中强浓雾阶段维持4 h.通过系留气球边界层探测系统、涡动协方差测量系统、雾滴尺度分布和自动气象站等外场试验资料分析了此次深厚浓雾过程的边界层结构特征和生消物理机制.结果表明,此次雾过程首先由地面辐射冷却形成贴地雾层,而后因低空平流冷却形成低云.在发展阶段,伴随低云不断下伸,贴地雾层不断抬升.在贴地雾层受到地面弱冷空气平流降温影响下,雾中微物理过程迅速发展,雾滴数密度、含水量、平均直径、最大直径等微物理参数在15 min内跃增,雾体爆发性升高,最终导致地面雾和低云上下贯通形成深厚雾层,地面能见度骤降至15 m以下.雾体爆发性增强时,地面垂直动量通量和向下长波辐射通量密度增大,净辐射趋于零.整个雾过程中,由于贴地层持续弱冷平流降温和上层雾阻碍了下层雾的辐射降温,二者的共同作用使贴地强逆温结构始终维持.     

南京冬季一次雾过程宏微观结构的突变特征及成因分析

2006年冬, 利用系留气球探测系统、雾滴谱仪、能见度仪等仪器在南京北郊进行了雾的综合观测。本文选取2006年12月14日的一次浓雾过程, 利用边界层廓线、雾滴谱、能见度以及NCEP再分析资料, 深入研究雾顶和地面雾浓度的突变特征 (爆发性增强和迅速减弱过程) 及其成因。结果表明: 雾顶的爆发性发展是湍流促使水汽向上输送、 在上层逆温下累积并伴随大幅降温引起的; 地面雾浓度爆发性增强时, 近地层冷平流降温导致饱和水汽压减小, 同时上层系统性的下沉增温引起逆温增强, 水汽得以累积; 雾顶的迅速下降过程中, 雾顶部湍流发展, 同时下沉运动引起了气层增温、 雾体双层结构和低空急流的出现; 地面雾的迅速减弱是太阳辐射和动量下传共同作用的结果; 下沉运动对雾生消的作用具有双重性; 雾的双层结构出现在雾顶大幅下降过程中, 并加快了雾顶的下降速度, 这与以往研究中双层结构促使雾顶爆发性发展有很大差异。     

南岭山地浓雾的宏微观物理特征综合分析

通过对南岭山地进行的雾野外观测资料以及数值试验的综合分析,得到了南岭山地浓雾和能见度的季节分布特征、雾滴谱微观特征与浓雾形成的物理概念图像。在秋末和冬春季节,南岭山地恶劣能见度出现的频率很高,能见度≤200 m浓雾过程的出现频率平均为24.7%,最高可达41.8%;冬春季节南岭山地出现的雾是复杂的微物理过程、局地地形、水汽输送与影响天气系统等宏微观相互作用的结果,属于平流雾、爬坡雾类型,与辐射雾明显不同,局地山地抬升冷却凝结对雾的形成起重要的作用,迎风坡对雾的形成有利,在海拔较低的迎风坡也可能出现浓雾,从而导致低能见度;南岭山地的雾以小滴谱为主,数密度比城市雾小,小粒子段谱型基本呈下降趋势;在多个微观变量中,含水量与能见度的反相关性最好;雾含水量等微结构特征量的起伏变化,与雾体本身的微物理过程有关外,雾体随环境风的平移过程中,不规则的爬坡、翻越山坡的运动是造成雾体微结构不均匀、振荡起伏变化的重要原因。     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on