典型强龙卷风暴中的地闪活动特征

闪电活动对于强龙卷天气的发生有一定的指示作用,基于闪电定位资料,结合多普勒天气雷达、探空和ECMWF再分析资料对两次典型强龙卷风暴中地闪的时空演变、雷电流强度及正地闪活动特征进行了统计分析,结果表明:地闪主要发生在组合反射率因子≥30 dBZ的区域内,龙卷发生期间,地闪活动减弱且较为分散。不同龙卷风暴的地闪频次差异较大,这与风暴中上升气流的强度有关;当地闪频次从峰值降至最小值期间,龙卷及地,两次过程中地闪频次峰值分别提前龙卷发生约33 min和28 min。同时,龙卷及地之前,地闪会出现连续多次闪电跃增;龙卷等级越强,正地闪表现越活跃,特征越明显,在江苏盐城阜宁龙卷发生期间,还出现了地闪极性从正地闪主导向负地闪主导的反转;两次龙卷风暴雷电流强度随时间的变化规律并不明显,但均小于历史平均值,地闪发生愈频繁的龙卷风暴,对应的雷电流强度值愈小。      

山东半岛一次强飑线过程地闪与雷达回波关系的研究

利用山东省气象局地闪定位资料和青岛多普勒雷达资料,分析了2007年7月31日发生在山东半岛一次强飑线过程的地闪活动演变特征以及地闪活动与雷达回波特征的关系.结果表明,此次过程中地闪异常活跃,最大频数达到1 212 fl· (10 min)-1,但正地闪仅有15次.在飑线系统快速发展阶段,地闪频数出现了两次“跃增”现象,地闪频数随时间的增加呈“阶梯状”发展特征.地闪主要集中发生在6 km高度上雷达回波≥35 dBZ的区域,地闪频数与45 dBZ以上强回波面积的相关系数达到0.89,但也有少量地闪零星分布在弱回波区域.地闪频数与45 dBZ回波顶高的相关性要好于与35dBZ和50 dBZ回波顶高的关系,二者之间的相关系数为0.71.为了定量分析对流强度与地闪频数之间的关系,定义了8个对流强度指数,其中0℃层以上所有强回波的反射率因子值之和与0℃层以上所有强回波的反射率因子值与所在高度的乘积之和以及地闪频数的关系非常稳定.对比分析不同强度的对流系统,发现不同雷暴天气过程中的对流强度与地闪频数的关系明显不同,即对流越强,相应的对流强度与地闪频数的相关关系也越好.另外,在飑线系统的发展演变过程中,地闪频数与0℃层以上和7～11 km高度的冰相降水含量也存在着非常密切的关系,相关系数均在0.8以上.     

地闪与对流性天气系统中降水关系的分析

利用１９９７年夏季在中国科学院兰州高原大气物理所平凉雷电与暴雹实验站设置的３站闪电定位系统所取得的地闪资料与雷达、降水及探空等资料进行了对比分析,发现地闪与对流性天气中的降水有较好的相关性,这种相关性用来对一般性对流天气中降水进行估测是可行的。通过非线性回归近似拟合得到平均雨强与对应时段内的地闪数回归方程为Ｒ＝１．６９２ｌｎＦ－０．２７３,相关系数ｒ为０．８６４１。同时地闪频数与层结最大不稳定能量一样能够指示对流性天气的发生和发展。     

暴雨和雹暴个例中闪电特征对比

暴雨与雹暴过程中对应的闪电活动特征显著不同,为了对比这两类对流过程中的闪电活动特征差异,该文选取了两种比较有代表性的雷暴个例——暴雨过程和雹暴过程,利用全闪（包括云闪与地闪）定位数据,分析了两者闪电活动特征以及闪电活动与对流降水之间的关系。研究发现:暴雨过程中地闪频次和正地闪比例均低于雹暴过程;相对于暴雨过程,雹暴过程的主正电荷区放电高度更高,主正电荷区所处的温度偏低;暴雨过程中,总闪频次与对流降水量、总闪频次与对流降水强度的相关性均优于雹暴过程。总体而言,雹暴过程中闪电活动特征及其与降水的关系更为复杂,这可能与雹暴过程具有更为复杂的动力和冰相过程有关。     

云南4次热带系统影响强对流风暴卫星云图和地闪特征

利用NCEP再分析气象资料及FY-2E卫星云图、地闪、地面自动站和气象灾情等资料对热带系统影响下的4类强对流风暴卫星云图特征和地闪演变规律进行分析。结果表明:西移北抬的赤道辐合带、副高、热带低压等热带系统外围偏东、西南和东北气流为强对流风暴发生发展提供有利环流背景及充足水汽和较高的对流有效位能,800 hPa中尺度辐合线及风随高度顺转和高层反气旋低层气旋的垂直流场结构为强对流风暴提供动力条件;在高能高湿环境条件下,由于辐合抬升作用,对流单体生成、不断长大、有规律排列、相互合并发展成不同大小和形状的单单体风暴、多单体风暴、飑线、MCC,结构密实和不均匀,伴随激烈地闪的同时产生冰雹大风和短时强降水等强对流天气;4种类型强对流风暴云顶亮温与总、负、正闪频数随时间演变规律基本一致,正、负地闪活跃程度能表征强对流风暴发展演变状况,与云顶亮温之间存在较好的相关关系,总(负)地闪频数演变趋势与云顶亮温演变趋势相反。     

060814山西省局地大暴雨的地闪特征分析

利用闪电定位每分钟的实测资料和加密雨量站每分钟的雨量资料,对山西省2006年8月13~14日副热带高压东退南压过程中,产生的局地大暴雨过程的地闪特征进行了分析。结果表明:对流风暴中,负地闪出现在强度达40 dBz且与径向速度图的逆风区或附近正速度的大值区相重叠的区域内,正地闪出现在强度达30 dBz风暴后部的正速度小值区;混合性降水云系中,地闪出现在500 hPa 5880gpm与5840 gpm等高线所包围区域内的辐合带或逆风区,且正地闪靠近5840线一侧,负地闪靠近5880线一侧。局地地闪频数与雨强随时间的变化有很好的相关性,负地闪的出现及其频数的增加意味着影响该地区的对流风暴正在发展并向本地移来,地闪频数峰值的出现表示雨强峰值的迅速到来,正地闪的出现表示该对流风暴对本地区的影响即将结束。利用地闪频数峰值准确地预报强对流风暴产生的局地强降水只有30~45 min的提前量,而对于混合性强降水的预报则可有1~2 h的提前量;逆风区的水平尺度、垂直厚度、逆风区附近的正、负速度差值直接影响风暴降水的范围、强度和持续时间。     

连续两次冰雹天气过程的多源资料分析

运用多源探测设备资料,对2018年3月12—13日发生在贵州省中西部地区的连续两次冰雹天气过程的大气环流场、环境物理量和对流单体结构特征做了综合分析,得到以下结论:全省受南支槽前西南气流影响,地面辐合线和低层暖平流为省西部边缘低涡的发展和维持提供动力条件,贵阳微波辐射计观测到的水汽参量在强对流过程到达前均有波动增长,在对流系统过境期间达到峰值,层结稳定度参数也反映出同样的特征,系统过境期间层结不稳定增大。冰雹前期中高空层的"干侵入"结构增强了环境位势不稳定度,过程期间低层风场具有较强的辐合运动,多个对流单体在移动过程中合并成为一个有组织的对流系统,并得到第二次发展,雷达回波强度达到60 dBz以上,回波顶高达到11 km以上,强度≥45 dBz回波延伸至-20℃温度层高度以上,从而造成贵州中西部连续两次冰雹灾害天气。     

温度平流在沙尘暴和大风天气预报中的差异分析

针对内蒙古沙尘暴天气中大气层结稳定度问题,选取了内蒙古强沙尘暴、大风(以大风为主部分地区伴有扬沙天气)两种天气过程,对冷空气活动的温度平流空间分布特征进行对比分析。分析结果表明:沙尘暴、大风天气都有较强的冷平流活动,但强冷平流的垂直分布明显不同,其对大气层结稳定度、温度垂直廓线、垂直运动分布有明显影响。沙尘暴天气强冷平流中心位于较高的700~600 hPa层次,其与近地层弱冷平流叠加,形成高低层温度平流差异,使得垂直气温直减率加大并保持这一趋势,形成有利于沙尘暴发生的深厚不稳定层结条件,在低层扰动的触发下形成干对流风暴,能量交换不稳定能量释放,使该层大气趋于中性层结即混合层,混合层是能量交换的一个平衡态;大风天气强冷平流中心位于较低的850 hPa以下层次,不利于形成不稳定层结条件。沙尘暴扬起的高度就是混合层厚度,比强冷平流中心位置高出150 hPa左右,强度达到—45×10~(-3)℃·s~(-1)以上的强冷平流中心在700~600 hPa层次时,混合层厚度可达到500 hPa以上层次,这一强度的沙尘暴天气可以影响到我国江南沿海地区。     

山东一次飑线过程的闪电特征和大风形成机制分析

利用闪电定位资料、多普勒雷达资料和卫星资料分析2016年6月13日发生在山东的一次飑线天气过程的地闪变化特征和大风形成机制,结果表明:本次过程发生在东北冷涡影响背景下,大气层结上冷下暖,随着层结不稳定性逐渐增强和不稳定能量的积蓄,在较强的深厚垂直风切变环境下触发强对流风暴进而组织成飑线.整个飑线过程中负地闪占主导地位,...     

一次副高影响下的局地强风暴触发及维持机制探析

利用自动站观测资料、FY-2G卫星资料和多普勒雷达等资料,对发生在副热带高压影响下的重庆局地强风暴过程进行了观测和数值模拟分析,探讨了其中尺度对流系统(MCS)演变,抬升触发和维持机制。结果表明:(1)在副热带高压影响下,重庆处于高温、高湿气团中,大气层结极不稳定;(2)此次局地风暴抬升触发的关键因子是地面附近浅薄边界层中尺度辐合线,辐合线由川渝盆地中西部MCS的雷暴高压与重庆地面热低压共同作用形成;(3)中尺度辐合线触发的对流风暴形成小范围冷池出流与环境风场形成新的辐合线,加强对流风暴发展,并再次触发新的对流单体。承载层平均风为偏南风,使得对流单体向北缓慢移动,冷池出流和边界层辐合线共同作用使得风暴单体向西向北传播和长时间维持。     

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.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi region.     

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