双偏振雷达在江苏“7.6”降雹过程中的应用分析

针对2019年7月6日发生在江苏徐州、宿迁、淮安、南京以及常州一线的一次大范围冰雹天气过程,利用再分析资料分析天气背景、不稳定机制和抬升条件。通过徐州和南京S波段双偏振雷达偏振参量及宿迁和淮安的双多普勒天气雷达风场反演技术对冰雹云的热动力结构和微物理特征开展了详细的分析。结果表明:此次大范围冰雹天气发生在高空冷涡南落、横槽南摆,低层暖湿气流北抬,上下层强烈不稳定的环流背景下,地面低压缓慢东移南压,提供了辐合抬升条件。此次降雹天气过程中,雷达回波图上显示有典型的冰雹云特征——三体散射长钉、回波穹隆结构、强度超过50 dBZ,中层径向辐合,风暴顶辐散等特征。双偏振雷达各偏振参量也表现出冰雹云的特点,出现冰雹的地区展现水平反射率因子ZH大、差分反射率因子ZDR小、相关系数CC小的特征,ZDR值为-1.0～0.5 dB,CC值小于0.85;超级单体在近地层还出现表征入流区的CC谷、ZDR柱、差分相移率KDP柱等特征。ZDR柱、KDP柱和CC谷等双偏振参量特征在强对流短时临近预报和冰雹识别方面具有很强的应用潜力。双雷达风场反演表明此次过程降雹集中时段,冰雹云的穹隆空间结构,降雹时刻存在的明显下沉气流。     

两次强降水风暴双偏振参量特征分析

基于济南S波段双偏振多普勒天气雷达探测数据,结合探空和地面实况资料,对2019年同一区域两次强降水风暴双偏振参量特征进行分析。结果表明：1）两次对流性强降水发生在弱垂直风切变环境下,具有较强的对流有效位能,低层湿度较大,0 ℃层高度较高,利于短时强降水的产生。2）两次强降水风暴都具有低质心热带降水特征,45 dBZ以上的强回波区主要位于环境0 ℃层高度之下。3）风暴低层强回波区都对应大的差分反射率因子ZDR和比差分相位KDP,ZDR≥0.5 dB,KDP≥0.5°·km-1,相关系数CC≥0.95;反射率因子在50~54 dBZ之间,对应的KDP＞1.0°·km-1,CC≥0.97,ZDR适中,是两次强降水风暴导致高强度降水的主要双偏振参量特征。4）两次强降水风暴ZDR柱和KDP柱高度存在明显差异,7月27日强降水风暴前侧出现ZDR柱和KDP柱,高度接近-10 ℃层高度,8月10日强降水风暴ZDR柱和KDP柱略高于0 ℃层高度,ZDR柱高度对雷暴强度具有指示作用。     

一次长生命史超级单体降雹演化机制及双偏振雷达回波分析

2019年3月21日一次长生命史超级单体导致浙江省中部多个县(市)降雹,为了研究超级单体得以长时间维持的环境背景及其云物理特征,利用常规资料以及宁波S波段双偏振雷达数据,结合粒子相态识别算法,对此次过程的演变进行了分析。结果表明:高空槽前、850 hPa切变线附近和地面冷锋为超级单体提供了合适的环流背景;风暴传播区域对流有效位能的增加、风暴承载层的平均风向与风暴移动方向相近、风速大、对流风暴沿地面假相当位温梯度大值区向东传播及沿海强垂直风切变,导致中气旋旋转速度和旋转厚度的增加,这些都是对流风暴长时间维持的原因。通过此次降雹单体风暴结构分析发现:整个生命史对流发展非常旺盛,最大反射率维持在60 dBz以上,风暴顶维持在8 km以上,风暴质心高度出现的三次明显波动,对应三次降雹过程。垂直累积液态含水量(VIL)跃增量虽不及传统指标,但结合垂直累积液态含水量密度(VILD)、VIL最大值及最大反射率因子大值区,对冰雹业务预报有指示作用。通过降雹单体双偏振特征分析发现:冰雹下落过程中的翻滚现象,导致差分反射率(Z_dr)值接近0 dB,水平和垂直偏振波差异导致三体散射特征(TBSS)根部Z_dr大值区的出现;冰雹降落融化产生的外包水膜现象,使其Z_dr值增大,相关系数(CC)值减小;通过偏振参数Z_dr和CC特征,有助于识别高空大冰雹;超级单体的有界弱回波区(BWER)附近的Z_dr柱不仅可指示上升运动,同时对降雹单体不同的成长阶段具有指示作用。     

偏振雷达观测强对流雹暴云

根据偏振雷达原理,用C波段双线偏振天气雷达观测得到4例强对流雹暴演变过程的水平反射率ZH(dBZ)和差分反射率ZDR(dB)垂直剖面RHI定量回波资料,分析了这些雹云不同演变阶段的回波参量和偏振特性的关系,说明ZH、ZDR双参量对判别降雹有着明显优势,用雨滴谱的ZH-ZDR分布边界关系对这些雹云回波进行判别降雹分析,给出我国用偏振雷达观测和识别冰雹的研究结果。     

2020 年 6 月 1 日山东强雹暴过程双偏振雷达观测分析

利用济南S波段双偏振多普勒雷达探测数据,结合探空、地面气象站观测和实地冰雹调查资料,对2020年6月1日影响山东中西部的一次强雹暴过程进行分析。结果表明：1）此次雹暴过程受高空槽影响,于当日中午在河北邢台市初生,移入山东境内后持续降雹近5 h,其中17:00后雹暴明显加强,冰雹灾害严重。2）典型降雹时次具有明显的三体散射特征;1.5～5.5 km高度冰雹区对应的反射率因子（ZH）均大于65 dBZ,差分反射率因子（ZDR）介于-2.6～1.5 dB,相关系数介于0.80～0.96;大冰雹多集中在低层前侧入流的左侧和前侧。3）多个单体于17:00前后演变成超级单体风暴,具有明显的有界弱回波区和中气旋结构,ZDR柱可指示雹暴主上升气流区的位置。4）水凝物相态分类产品给出的冰雹分布反映了空中冰雹的分布和演变,可从冰雹色标面积大小、连续性程度预估冰雹强弱,根据低仰角的冰雹色标预判冰雹落区。     

不同强度云系的双偏振雷达特征

利用S波段双偏振雷达观测到的层状云、非降雹对流云以及冰雹云三种不同强度云系的雷达数据,对其双偏振参量的特征差异进行分析。结果表明,层状云的差分反射率ZDR、差分相移率KDP接近0值,差分相移ΦDP随径向距离廓线变化小,与初始相位保持一致;在非降雹对流云中,CC值基本稳定在0.95以上,回波强度大于35dBZ时,ZDR、KDP和ΦDP均显著递增,KDP和ΦDP变化尤为明显,其表现出对强降水的敏感特征;冰雹云的双偏振特征整体与非降雹对流云一致,但在冰雹区域内反射率ZH大于62dBZ时,ZDR迅速降低至0附近,少数冰雹区域对应KDP为空值(显示背景色)KDP原始算法存在明显缺陷,应当加以其他条件(如信噪比)作为约束。     

阿克苏地区西部冰雹天气雷达回波演变特征分析

利用2009—2020年阿克苏地区西部6县市中国气象局灾情直报、地面观测、阿克苏多普勒雷达资料，分析阿克苏雷达监测覆盖区冰雹天气时空分布及雹云雷达回波演变特征，结果表明：（1）2009—2020年共出现211站次冰雹，2011年最多，28站次；高发期为5—8月，6月冰雹频次最高；日变化峰值在16—19时。（2）雹云单体最强反射率因子均≥52 dBZ，回波顶高高于8 km，垂直累积液态水含量跃增达4.47 kg/m2及以上且垂直累积液态水含量最大值大于10.0 kg/m 2时雷暴单体发展为雹暴的可能性极大。超级单体雹暴反射率因子、回波顶高、VILmax统计指标均高于多单体和普通单体雹暴。（3）普通单体风暴多初生于乌什县、温宿县北部沿山一带；多单体雹云多初生于乌什县西部南部、温宿县北部沿山一带，乌什县境内最多；超级单体雹云多初生于温宿县。回波单体移动大多以西北-东南路径为主。（4）雹云回波发展初期往往伴随着第一次爆发式增长：反射率因子增大、回波顶升高、VIL跃增，超级单体雹暴表现更为明显，降雹时刻伴随着再一次爆发式增长。VIL急剧增大或急剧减少与降雹开始和结束关系最为密切。（5）超级单体雹暴维持时间和整体生命史均较多单体雹暴和普通单体雹暴时间长；多单体风暴需要较长的酝酿时间且影响区域较大。     

基于S波段双偏振雷达和X波段相控阵雷达的超级单体观测分析

利用广州S波段双偏振雷达和X波段相控阵雷达资料,对2022年3月26日一次降雹超级单体风暴成熟阶段的雷达观测特征开展分析,结果表明:超级单体呈现出钩状回波、回波悬垂、中气旋、三体散射等经典结构特征。径向速度上观测到中低层辐合、高层辐散以及中气旋和反气旋共存的双涡旋结构,有助于超级单体的维持发展。偏振特征分析发现,超级单体低层出现了反射率因子(ZDR)弧,低层强回波区对应偏小的差分反射率(ZDR)、低的相关系数(CC)和大的差分相移率(KDP),符合融化的冰雹特征。中层观测到ZDR环、CC环和三体散射(TBSS)的偏振特征。高层强回波区对应低的ZDR、较高的CC和低的KDP,对应空中干的大冰雹。垂直方向上观测到ZDR柱和KDP柱,ZDR柱最大发展高度达到8 km。X波段相控阵雷达更快的扫描速度还精细监测到超级单体钩状回波和中气旋的形成演变过程,低层也观测到与S波段双偏振雷达类似的ZDR弧特征和融化中的冰雹特征,但是使用中要留意衰减造成的影响。     

鄂西南冬末一次罕见的强冰雹过程分析

利用常规观测资料、多普勒天气雷达和风廓线雷达资料,对一次罕见的鄂西南冬季强冰雹（直径1～3 cm）天气过程进行了分析,结果表明:强冰雹产生在上干冷、下暖湿,低空辐合、高空辐散的环流背景下,地面中尺度辐合和“喇叭口”的有利地形,给冷锋前暖区对流性天气提供了触发机制;地面冷锋南下伴随的垂直风切变增强有利于已经生成的对流风暴的维持和加强。强冰雹分别由孤立的超级单体和超级单体复合体（多单体结构中含有占支配地位的超级单体）产生。比较而言,孤立的超级单体发展更为高大,持续时间更长。风暴具有中气旋、高悬的强回波、低层入流、弱回波区与回波悬垂、中层径向辐合、风暴顶强辐散等超级单体风暴的典型特征;垂直累积液态含水量及其密度分别较长时间维持在35 kg·m^-2和4 g·m^-3以上的冬季高值;新一代天气雷达冰雹探测算法输出的冰雹指数产品预测到高概率的强冰雹。此次过程出现在冬末,虽然对流出现之后呈现出典型的风暴结构,可以提前10～30 min做出强冰雹的临近预警,但对于对流出现之前的提前数小时的强冰雹短时潜势预报而言,常用做判断强降雹潜势的探空特征（包括对流有效位能...     

湘东北一次降雹超级单体过程的双偏振雷达回波特征

利用S波段双偏振雷达资料和多种观测资料,对2021年5月10日湖南长沙的大冰雹超级单体风暴过程进行分析,结果表明：(1)此次过程发生在低层暖平流主导下,高能量、有利的对流不稳定条件以及湿球0℃(WBZ)高度明显低于0℃层高度为大冰雹超级单体风暴的形成和维持提供了有利条件。(2)强中心(水平反射率因子Z_h≥60 dBz)面积和最大水平反射率因子明显增大、垂直累积液态水含量跃增和质心高度发展到冰雹有效增长层,可作为大冰雹形成发展的依据。(3)差分反射率因子(Z_dr)柱、相关系数(CC)、差分相移率(K_dp)演变可为冰雹的云物理特征变化提供重要参考。Z_dr柱(≥1 dB)的出现对应上升气流区,扩展至WBZ以上,Z_dr柱的发展和维持表明其携带的过冷雨滴为冰雹发展和维持提供了雹胚;Z_dr洞(<0 dB)对应下沉气流区扩展至近地面,结合小CC和Kdp“空洞”对应干的大冰雹。(4)构建的超级单体风暴降雹阶段不同仰角的双偏振监测识别模型显示,强雹暴回波离开雷达一侧存...     

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.     

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.     

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.     

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