闪电宽带电场三维定位及其回波特征

利用自制闪电宽带电场三维定位系统, 分析了山东地区一次雷暴过程闪电三维时空结构。结果表明, 在云内击穿放电整个时间序列中, 辐射源空间分布（对应强电场区分布）呈现明显的三极性分层电荷结构, 并分布在3个高度层次： 6~8 km为上部正电荷区, 4~6 km为中部负电荷, 2.5~4 km为下部次正电荷区。云内放电首先出现在中部负电荷区, 然后产生向上发展的负流光进入上部正电荷区传输, 形成向上发展的云闪; 随着雷暴发展, 产生向下发展的负流光进入下部次正电荷区, 形成向下发展的云闪, 且能维持到雷暴发展后期。结合雷达回波分析表明, 雷达回波的强度影响着闪电活动, 强回波区的增加会使得强电场区域增加, 但是强电场区域并不与最强回波区域对应, 除下部正电荷区的底部会有部分辐射源出现在回波强度为40~50 dBz的区域中以外, 大多数的辐射源出现在25~35 dBz的中等回波区范围内, 强回波区域中通常较少出现击穿放电。     

双接地负地闪VHF辐射源放电通道和光学通道的对比分析

利用闪电VHF辐射源三维定位和闪电光通道高速摄像同步资料,对一次双接地负地闪放电通道作定位和亮度特征进行对比分析,并仔细分析了其通道发展和连接,详细讨论了一次负地闪双接地的形成过程.结果表明,在预击穿阶段,通道击穿作用很强,但电流小,其载体主要是雪崩电荷;在回击激发阶段,通道电流迅速增大,其载体除了雪崩电荷外,还有大量来自云内电荷区的电荷.在整个过程中,主通道有较高亮度(云外),即主通道中有较强电流运动,而分叉通道电流较弱.研究表明近地面向上发展的辐射源可能是源于地面尖端产生的向上先导.     

青藏高原云闪起始阶段放电特征分析

2003年夏季在青藏高原那曲地区进行了雷电综合观测试验,利用宽带干涉仪系统获取的闪电资料,根据辐射源定位结果和相应的电场变化对云闪放电起始阶段进行了分析,初步分析结果表明:雷暴过境时地面电场为正值的情况下,云闪放电多发生在中部负电荷区和下部正电荷区之间,上部正电荷区一般不参与放电。虽然不同的云闪会有不同的放电发展过程,但放电起始阶段具有相似的特征。云闪放电起始于中部负电荷区,在初始几十毫秒内,辐射源垂直向下发展,云内负流光向下发展速度约为1.14~1.72×105m/s。在下部正电荷区内,闪电通道可以垂直发展,也可以水平发展。且发生在正电荷区的放电过程比较复杂,正电荷区辐射点比负电荷区要多。     

云闪K过程的三维时空特征

K过程是闪电放电过程中的一种放电事件。该文使用两套VHF宽带干涉仪2010年夏季在广州从化地区获取的3次云闪三维闪电辐射源定位数据,分析其中的K过程时空发展特征与地面电场特征。结果表明:宽带干涉仪观测到的K过程主要由快速发展的负极性放电事件组成,按定位结果的分布可划分为3个阶段:负极性反冲先导发生在云闪起始区域下方,沿正先导一端已有路径向闪电起始区域传播;部分反冲先导能进入之前负先导建立的通道并快速发展;反冲先导将原有通道激活后进一步促进负先导继续发展。同时使用辐射源三维定位数据计算了8次反冲先导的平均发展速度,反冲先导的发展速度为106~107 m·s-1量级,与负地闪中的负极性直窜先导相似,但均小于回击速度。     

放电后电荷重置对雷暴云电荷结构及闪电行为的影响

为探究放电后电荷重置对雷暴云电过程的影响,在已有的三维雷暴云起、放电模式中分别加入两种不同的电荷重置方案:一种是植入法即放电后闪电通道上的感应电荷与原空间电荷叠加(简称ZR方案);另一种是中和法即放电后直接按一定比例降低闪电通道处的空间电荷浓度(简称ZH方案)。利用长春一次探空个例进行敏感性试验,发现放电后重置方式的不同会导致闪电特征存在明显差异:1)ZR方案下的云闪发生率比ZH方案下的云闪发生率少。闪电放电后ZR方案在云中植入异极性电荷,对雷暴云中电荷的中和量比ZH方案多,摧毁云中电场的能力更强;2)ZR方案下的正、负地闪发生率均比ZH方案多。相对于ZH方案,ZR方案中主正电荷区的分布范围大于主负电荷区,导致其出现了更多的正地闪;ZR方案中的云顶屏蔽层与主正电荷区的混合程度高,混合时间长,导致ZR方案在主正电荷区与主负电荷区之间触发了更多的负地闪;3)ZR方案下的闪电通道长度比ZH方案下的闪电通道长度短。ZR方案在云中植入异极性电荷,导致云中难以形成大范围同极性电荷堆,闪电通道传播局限在一对较小的异极性电荷堆内,而ZH方案不改变云中电荷分布,存在大范围同极性电荷堆,闪电通道传播范围较大。     

通道感应电荷对放电活动特征的影响

为探究闪电放电后电荷重置方案中异极性电荷植入法对雷暴云放电效应的影响,利用已有的三维雷暴云起放电模式,结合2011年8月12日发生在南京地区一次典型的雷暴个例,通过控制倍数改变闪电通道感应电荷量进行大量敏感性试验。模拟结果表明:闪电通道感应电荷量对空间电荷结构分布和云闪通道长度有明显影响。通道感应电荷量增加,即空间异极性电荷堆增多,加大空间电荷结构复杂程度;云闪通道在发展过程中难以穿越与自身极性相同的电荷堆,导致短通道云闪频次增加。通道感应电荷累积总量相同,不同闪电通道感应电荷量下云闪频次与通道电荷平均累积量呈负相关,即通道感应电荷平均累积量增大,云闪频次减少。而地闪频次、类型与通道感应电荷量相关性不明显。     

云下部正电荷区与负地闪预击穿过程

三维雷电观测系统LMA(Lightning Mapping Array)是最近发展起来的基于GPS时钟同步的闪电VHF辐射源到达时间差(TOA)定位技术,能以很高的时间分辨率(50 ns)和空间定位精度(50-100 m)展现闪电放电发展过程的三维时空分布,揭示雷暴中电荷结构及其与放电过程的关系.文中利用三维雷电VHF辐射源观测资料分析了负地闪预击穿过程的时空分布特征,讨论了云下部正电荷区对负地闪发生的影响,其结果表明在首次回击之前存在长时间预击穿过程的负地闪中,预击穿过程是云中部负电荷区与下部正电荷区之间的一种云内放电过程,闪电起始于云中部负电荷区,然后向下发展传输,进入正电荷区后闪电通道在云下部正电荷区水平发展,其放电特征与反极性云闪放电一致,云内放电过程最后阶段的K型击穿激发了地闪的梯级先导,梯级先导穿过云下部正电荷区向下发展传输.云下部正电荷的存在是导致负地闪首次回击之前存在长时间云内预击穿过程的主要原因.     

闪电放电通道的三维结构特征

通过对闪电VHF辐射源高时空分辨率的三维观测资料的分析发现,无论云闪还是地闪其时间和空间分布特征可表明雷暴中的基本电荷结构。云内闪电放电不仅发生在上部正电荷区与中部主负电荷区之间,也同样会在中部主负电荷区与下部正电荷区之间发生,除极性相反之外,其它特征是一致的。云闪过程在最初的10一20ms内垂直向上(正常极性)或向下(反极性)发展,之后转为水平方向的传输。在正电荷区辐射点较多,闪电通道清晰;在负电荷区辐射点较少,且从闪电的起始位置以一种倒退的方式水平延伸闪电通道。云闪中的K型击穿不仅发生在闪电的后期,而且还发生在活跃期,并不时发展到正电荷区而触发新的闪电分叉。负地闪首次回击之前的梯级先导过程辐射较强,继后回击前的直窜先导的辐射较弱。回击之间闪电在云内水平发展,通道以细小的分叉为主要特征,其间不时有没有到地的企图先导过程发生。正地闪的先导过程基本没有可探测到的辐射点,在回击之前有一段云内过程,回击之后有更长的云内过程发展,其闪电通道不像负地闪那样精细,在回击之后的最初阶段辐射点较少,而在通道的顶端辐射点反而较多。正负地闪的发生发展特征有很大的不同,表明正、负极性的电荷击穿及传输过程的机制存在明显差异。     

空间电荷分布特征对云闪传播行为的影响

在已有的随机放电参数化方案的基础上,建立了雷暴云电荷分布,并进行二维高分辨率闪电放电的模拟试验,定量探讨了雷暴云的空间电荷分布特征对云闪传播行为的影响,结果表明:(1)雷暴云顶部的屏蔽层电荷以及底部正电荷区会限制触发于雷暴云主正、负电荷区的云闪正、负先导的垂直传播范围,使云闪通道在一定垂直范围内传播,并最终趋向于沿水平方向传播;(2)电荷区的电荷密度或分布范围的增大都会导致云闪通道长度增大,但增大方式不同,电荷密度主要是通过增加高密度中心附近的通道分枝数,并且通道长度随电荷密度的增加呈非线性增大,分布范围则是通过扩展通道的水平传播范围,并且通道长度随分布范围的扩大呈线性增大;(3)电荷区电荷密度的增大会增加云闪通道的分枝数,尤其在高密度中心附近,最终使云闪通道的分形维数呈增大趋势,但基本上不会改变云闪通道的双层分枝结构,电荷区分布范围的扩大则不影响云闪通道的分形维数。     

宽带干涉仪闪电辐射源三维定位系统

宽带干涉仪闪电辐射源三维定位系统,是一种全闪电宽频带三维定位系统.它能够以微秒级的时间分辨率对闪电击穿过程产生的辐射源实现三维定位,描绘云闪和地闪通道发展的详细三维结构,可用于区域闪电监测和预警;同时,系统能够同步得到闪电通道发展的宽带频谱以及电场变化信息,结合三维定位结果,可以为闪电放电过程物理机制的探讨、雷电物理研究提供丰富的资料.     

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