2017年内蒙古赤峰“8.11”龙卷环境场及雷达特征分析

利用多普勒雷达观测资料,结合NCEP FNL 1.0°×1.0°再分析资料、探空资料,对2017年8月11日内蒙古赤峰市龙卷进行了分析。分析表明:(1)大尺度环境场提供了上干下湿不稳定层结条件,切变线和地面干线为对流触发条件;对流有效位能超过2 000 J/kg,抬升凝结高度低于1 km,低层垂直风切变10×10~(-3)s~(-1),为龙卷发生提供了有利条件。(2)发生龙卷的超级单体风暴低层有明显的钩状回波,弱回波区及与之对应的前侧V型缺口及后侧V型缺口特征;雷达距离龙卷发生地超过100 km,未识别出龙卷涡旋特征,但识别出了三维相关切变和中气旋,中气旋最大转动速度达到了18 m/s,为中到强等级的中气旋。(3)产生龙卷的超级单体风暴最大反射率因子在60 d BZ左右,而且在龙卷发生前基于单体的垂直累积液态水和风暴顶高有明显的跃增。(4)龙卷接地前,对应的中气旋顶高≤6 km,切变≥15×10~(-3)s~(-1)。     

珠江三角洲台风龙卷的活动特征及环境条件分析

利用常规观测、自动气象站、多普勒雷达等资料分析珠江三角洲台风龙卷的活动特征及其产生的环境条件。结果表明:台风龙卷发生在6—10月,时间多为10—20时,出现在台风登陆后1.3～21.3 h的时段内;多数龙卷位于台风中心的东北象限,台风中心在广东湛江一广西东南部或北部湾附近时是珠江三角洲龙卷发生的高风险期。高层辐散、低层辐合及中低空强东南急流在珠江口附近叠加是龙卷产生的有利环流背景。强或弱龙卷环境条件的共同特征为低抬升凝结高度、强深层和低层垂直风切变及较大风暴相对螺旋度(SRH),主要差异是强龙卷的深层和低层垂直风切变与SRH更大;相似台风路径下,有/无龙卷环境条件的明显差异在于0～1 km低层垂直风切变和SRH,两值越大出现超级单体或中气旋的可能性越大,龙卷发生概率也就越高。台风龙卷风暴母体属于低质心的微型超级单体风暴;低层有强或中等强度中气旋,有时强中气旋中心伴有龙卷涡旋特征(TVS);龙卷出现在钩状回波顶端或TVS附近。与西风带超级单体龙卷相比,台风龙卷中气旋的尺度更小、垂直伸展高度更低。     

2022年6月19日广东佛山龙卷的双极化相控阵雷达特征

利用X波段双极化相控阵雷达等多源观测资料,分析了2022年6月19日早晨广东佛山超级单体龙卷的环境条件和对流风暴的结构及演变特征。龙卷母体风暴是在强西南季风天气背景下的一条东北-西南向飑线南端发展起来的。环境条件具备较大对流有效位能、低抬升凝结高度和强垂直风切变等有利于超级单体龙卷发生发展的热力和动力条件;低空风暴相对螺旋度、超级单体复合指数和强龙卷指数的显著增强对超级单体龙卷的发生有较好指示意义。具有高时空分辨率的佛山南海X波段双极化相控阵雷达探测到了龙卷母体微型超级单体的发展过程和龙卷涡旋的演变特征：对流单体在前侧低层入流的加强下逐渐形成钩状回波和反射率弱回波空洞;中气旋首先在2.5km附近高度形成后向低层伸展,随着后侧下沉气流的加强,低层涡旋旋转增强,当低层中气旋旋转速度超过22m·s-1(强中气旋)且直径紧缩至1.5km以内时,龙卷即将触地,龙卷涡旋特征(TVS)和龙卷碎片特征(TDS)出现是龙卷触地的主要特征,龙卷发生在反射率弱回波空洞、TVS和TDS附近。     

1713号台风“天鸽”外围龙卷特征及成因分析

利用常规观测资料、多普勒天气雷达资料和区域加密自动站资料对1713号台风"天鸽"外围的龙卷过程进行分析,结果表明:(1)此次龙卷过程发生在台风外围螺旋云带前部,物理量分析表明广西东南部具有较大的不稳定度能量,抬升凝结高度较低,低层垂直风切变较大,具有利于龙卷发生的环境热力和动力条件。中尺度地面辐合线触发出新生对流单体,该对流单体在高温高湿和强不稳定状态环境中最终发展为龙卷。(2)此次龙卷为微超级单体风暴,具有低层有钩状回波、中高层回波悬垂和有界弱回波区(BWER)等典型超级单体特征,低层钩状回波的演变与龙卷的生消密切相关。(3)中气旋先于低层钩状回波出现,钩状回波形成于强中气旋附近。龙卷发生时中气旋底高在2㎞左右,TVS切变底部高度0.5㎞左右并且不断下降,与龙卷漏斗状云柱高度逐渐下降接地的趋势一致。     

2019年7月3日辽宁开原伴随EF4级强龙卷的超级单体风暴分析

综合利用多普勒雷达、地面自动气象站以及风廓线等观测资料和ERA5再分析资料,对2019年7月3日发生于辽宁开原的超级单体风暴伴随EF4级强龙卷环境条件、多普勒雷达回波特征和形成机理进行详细分析。结果表明:本次过程发生于低层暖湿高层冷干强的热力不稳定环境条件下,在地面干线汇合流场形成地面辐合线附近触发湿对流并发展为伴有龙卷的超级单体风暴。龙卷发生于低层钩状回波附近,多普勒雷达上呈现经典超级单体风暴雷达回波特征,低层强的垂直风切变将水平涡度转化为对流风暴中垂直涡度,强上升运动使得顺流涡度倾斜拉伸,从而龙卷发生前17 min在多普勒雷达2.4°仰角首先出现中气旋结构,随后风暴向南移动过程中,风暴的后侧下沉气流(RFD)将中低层的涡度“压低”致使龙卷接地,因此龙卷发生后1 min在0.5°仰角也出现强中气旋并有类龙卷涡旋特征(TVS),中气旋最强时的旋转速度达到28 m·s^(-1)(强中气旋标准),因此本次龙卷符合“自上而下”I型龙卷特征。由于环境干燥空气夹卷造成水滴强烈蒸发和冷却,使得地面出现了1 h降温达10℃的强冷池,过强的冷池可能在促使龙卷消亡过程中起到关键作用,致使龙卷持续了约30 min后消亡。     

黄土高原一次疑似龙卷天气的中尺度分析

利用高空、地面常规观测资料、分钟级加密自动气象站资料和榆林多普勒雷达资料,对 2013 年8月4日傍晚发生在榆林市的一次超级强对流风暴天气进行中尺度分析。结果表明：（1）此次过程疑似一次超级单体龙卷天气过程;（2）从环流背景来看,榆林市上空中层强干冷平流配合低层切变线、西南急流,高层干冷、低层暖湿特征明显;从环境条件来看,强风暴发生前和发生期间能量、抬升凝结高度、风切变满足龙卷发生所需的热力不稳定、垂直风切变条件;（3）雷达钩状回波结构清晰,并伴有强中气旋,大于60 dBZ的回波和正负速度对已接地,呈现龙卷发生时的回波特征;（4）强风暴发生前后,由北向南经过榆林地区有多个龙卷涡旋TVS产品被识别;（5）气象要素场变化剧烈,地面气压明显降低,风速出现极值增强,风向发生突变,与龙卷发生期间风场观测特征基本一致,表明该区域出现龙卷的可能性较大。     

台风“艾云尼”（2018）外围两次近距离龙卷的环境条件和雷达特征

2018年6月8日在距台风“艾云尼”中心80 km、160 km的广州市南沙区横沥镇、佛山市南海区大沥镇两地罕见地先后出现了龙卷天气。利用X波段双偏振雷达组网、广州S波段双偏振雷达、风廓线雷达和区域加密自动站等观测资料对两次近距离台风龙卷过程的环境条件和雷达特征进行了分析。环境条件分析表明,两次龙卷发生地位于低层西南急流和东南急流辐合区,所处环境为弱的对流有效位能（CAPE）、低的抬升凝结高度和强的低层垂直风切变环境中,0~1 km垂直风切变值超过15×10-3 s-1。中小尺度雷达特征分析表明:（1）两地龙卷由台风外围微型超级单体引起,超级单体在发展强盛阶段有钩状回波、入流缺口、中层回波悬垂等典型特征,最强反射率因子55~60 dBz,强度≥50 dBz强回波发展高度在4 km以下,微型超级单体有水平尺度2~3 km的中气旋,由于速度模糊影响,仅在南海龙卷发生前9 min广州S波段雷达能自动识别中气旋。（2）与南沙龙卷相联系的中气旋核心高度低,强度进一步加强紧缩导致龙卷发生;而与南海龙卷相联系的中气旋从中层发展,中气旋加强紧缩下降到更低导致龙卷发生。（3）两地弱龙卷发生时广州和南海双偏振雷达没能捕捉到龙卷碎片（TDS）特征,南海X波段雷达能提前30 min监测到入流急流,提前27 min探测出钩状回波等特征,并通过分析ZDR弧和KDP弧可判断低层强盛的上升气流和强的垂直风切变利于风暴的发展。（4）佛山四部X波段组网雷达反演的1 km水平风场可分析出小尺度涡旋结构,对应钩状回波尾端有强的风向切变,这对龙卷发生地点的判断和风暴的流场结构有较好指示意义。      

湖南省永州市2006年4月10日龙卷分析

利用灾后调查资料、常规天气图及永州多普勒雷达资料,分析2006年4月10日凌晨发生在湖南省双牌县理家坪乡出现的严重风灾。结果表明:这是永州市自有气象记载以来首次确认的龙卷灾害;该龙卷为超级单体龙卷,具有非常经典的钩状回波特征;强的水平风垂直切变和热力不稳定环境促使了超级单体中的中气旋的产生,中低层的辐合最终在中气旋中形成龙卷。     

辽宁开原强龙卷的卫星云图和雷达回波演变特征分析

利用葵花8号(Himawari-8)卫星资料、沈阳SC天气雷达数据、ERA5再分析资料及常规天气观测资料, 分析了2019年7月3日辽宁开原强龙卷的卫星云图、雷达回波演变及大气环流特征。结果表明: 此次开原强龙卷发生在东北冷涡底部, 低层850 hPa有明显的暖湿气流, 形成了“下湿上干”的垂直结构。3日17:00龙卷初生地0—6 km有22.8 m·s^-1、0—1 km有7.6 m·s^-1强垂直风切变。龙卷生成之前, 初生地西侧比东侧气温偏高, 存在2—5 ℃地面温度差。生成后, 移动路径东侧形成明显冷池, 最低温度19 ℃, 与西侧温差最大达11 ℃。龙卷生成时可见光云图上对流风暴的云砧水平尺度明显增大, 云顶升高、亮温降低。雷达回波演变特征表明, 龙卷对流风暴的发展经历了由多单体非强风暴发展到多单体强风暴再发展到超级单体风暴三个阶段, 龙卷在最强等级时有对流单体的合并。开原龙卷风暴在三个阶段都有中气旋, 17:11中气旋向下伸展到低层, 反射率因子出现指状回波。     

单多普勒雷达对一次龙卷过程的观测和分析

本文利用泰州S波段多普勒雷达观测资料和探空、地面资料对2013年7月7日发生在江苏高邮的一次龙卷过程进行分析讨论。此次龙卷过程由超级单体风暴引发,环境分析显示高邮地区低层位于急流辐合区,高层位于急流辐散区,有利于对流发展。龙卷发生前具有强对流不稳定度和中等风切变。雷达回波资料分析显示超级单体在成熟阶段出现明显的钩状回波,有界回波区以及悬垂回波的特征。旋转速度最强时,有龙卷产生,之后超级单体进入消亡过程。底层强垂直风切变和垂直速度不均匀分布,有利于激发龙卷天气的发生或者促进龙卷天气的维持发展。     

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.     

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     

全球贸易隐含碳变化及其影响分析

基于最新的GTAP8 (Global Trade Analysis Project）数据库,使用投入产出法,分析了2004年到2007年全球贸易变化下南北集团贸易隐含碳变化及对全球碳排放的影响。结果显示,随着发展中国家进出口规模扩张,全球贸易隐含碳流向的重心逐渐向发展中国家转移。2004年到2007年,发达国家高端设备制造业和服务业出口以及发展中国家资源、能源密集型行业及中低端制造业出口的趋势加强,该过程的生产转移导致全球碳排放增长4.15亿t,占研究时段全球贸易隐含碳增量的63%。未来发展中国家的出口隐含碳比重还将进一步提高。贸易变化带来的南北集团隐含碳流动变化对全球应对气候变化行动的影响日益突出,发达国家对此负有重要责任。     

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.     

Retrieval of outgoing longwave radiation from COMS narrowband infrared imagery

Hourly outgoing longwave radiation(OLR) from the geostationary satellite Communication Oceanography Meteorological Satellite(COMS) has been retrieved since June 2010. The COMS OLR retrieval algorithms are based on regression analyses of radiative transfer simulations for spectral functions of COMS infrared channels. This study documents the accuracies of OLRs for future climate applications by making an intercomparison of four OLRs from one single-channel algorithm(OLR12.0using the 12.0 μm channel) and three multiple-channel algorithms(OLR10.8+12.0using the 10.8 and 12.0 μm channels; OLR6.7+10.8using the 6.7 and 10.8 μm channels; and OLR All using the 6.7, 10.8, and 12.0 μm channels). The COMS OLRs from these algorithms were validated with direct measurements of OLR from a broadband radiometer of the Clouds and Earth's Radiant Energy System(CERES) over the full COMS field of view [roughly(50°S–50°N, 70°–170°E)] during April 2011.Validation results show that the root-mean-square errors of COMS OLRs are 5–7 W m-2, which indicates good agreement with CERES OLR over the vast domain. OLR6.7+10.8and OLR All have much smaller errors(～ 6 W m-2) than OLR12.0and OLR10.8+12.0(～ 8 W m-2). Moreover, the small errors of OLR6.7+10.8and OLR All are systematic and can be readily reduced through additional mean bias correction and/or radiance calibration. These results indicate a noteworthy role of the6.7 μm water vapor absorption channel in improving the accuracy of the OLRs. The dependence of the accuracy of COMS OLRs on various surface, atmospheric, and observational conditions is also discussed.