一次暴雨过程中非线性亚临界对称不稳定的机制分析

对2005年7月5日20时-12日08时淮河流域、安徽中北部的降水过程诊断分析,并利用WRF模式对7月6日08时-7日20时安徽中部的暴雨过程进行数值模拟,结果表明:(1)2005年7月5日20时-12日08时降水过程可分为2大段,非线性亚临界对称不稳定可能是该时段强降水形成的重要机制;(2)u和v两分量扰动增强均超前于暴雨的增强,并对强暴雨的发生有指示作用;非地转作用达最强和冷暖空气达最强分别对强暴雨发生也有12或24 h的指示作用;(3)得到降水强度、高低空急流及其扰动风场这5者极大值的时空配置;(4)得到暴雨前期,高低层涡度场和散度场的时空配置特征.由以上4点及垂直上升气流的变化提出非线性亚临界对称不稳定激发强暴雨形成的新的物理机制.     

一次梅雨期苏北大暴雨的时空结构及其非线性亚临界对称不稳定

利用WRF V2.2模式对2006年6月30日00时—7月1日12时（世界时）江苏宝应地区的大暴雨过程进行数值模拟,并利用从模拟结果提取出的环境风场和中尺度扰动风场对此次大暴雨过程的时空结构,尤其是风场的垂直切变和非线性亚临界对称稳定性进行分析,结果表明：整层大气平均风垂直切变矢量转为西南偏西风后其南风分量随时间增大到最大值,对暴雨的发生有提前5-4 h的指示意义,相应时刻绝对水平螺旋度亦达到极值;暴雨发生前3 h首次出现强烈的整层垂直上升气流,预示大暴雨发生;在暴雨发生前9 h,高层200 hPa涡度、散度两波呈π/2位相差,对应强烈地转不平衡重力波,随时间向下传播,至暴雨发生前3 h下传到800 hPa;中尺度扰动风场的加强与降水的加强关系密切,在暴雨发生前3 h,出现中尺度非线性亚临界对称不稳定,激发暴雨发生,并对大暴雨的发生有重要的指示意义。     

中尺度对称不稳定在远距离台风暴雨中的诊断应用

用中尺度对称不稳定“S”判据对9711 号远距离台风暴雨过程进行了诊断分析,结果表明:台风远距离雨区存在明显的对称不稳定降水。低层(700hPa 以下)S< 0的区域作为对称不稳定区,与后期台风远距离降水有比较好的对应,可以作为远距离台风暴雨落区的一个指标。高层的对称不稳定与200～300hPa 的非纬向高空急流的斜压性增强有关。高低层的对称不稳定对远距离台风暴雨有不同的作用。     

2003年江淮梅雨暴雨与湿位涡的关系

统计了2003年发生在江淮地区的梅雨暴雨，根据暴雨中心对流稳定度及降雨性质将暴雨分为4种类型。分析湿位涡与梅雨暴雨中的惯性不稳定、对称不稳定、对流不稳定的关系发现：第1类暴雨往往与对称不稳定有关，第2类暴雨与对流不稳定有关，且这两类暴雨高层多具有强惯性不稳定，降水相对较大；第3、第4类暴雨是稳定性降雨，高层一般不具备惯性不稳定，雨量一般较小。高层的惯性不稳定对降水的加强作用明显。     

98.6连续暴雨的对称不稳定研究

通过分析98.6连续暴雨过程的扰动风场与降水强度之间的关系,以及扰动风场与非线性和线性对称不稳定之间的关系,进而研究非线性和线性对称不稳定与降水强度和位置之间的关系,认为在日常降水预报中应注意扰动风场的变化以及非线性和线性对称不稳定。     

1991年7月初江淮地区特大暴雨中不同尺度天气系统分析

利用水平平滑滤波方法对不同等压面上大尺度场的分析结果表明：在1991年7月1日—5日的暴雨过程中，从高层到低层青藏高原北部有一急流中心，急流中心位于40°N附近。和这次暴雨过程直接对应的急流中心位于29°N附近。1－5日这两个急流中心均稳定少动且中心风速比常年大。大范围降水区中的强暴雨中心和中低层的流场、风场辐合区以及扰动低压中心吻合较好。低层等压面上大中尺度系统相互作用项的区域平均值对700hPa中尺度系统发展的贡献最大。高层200hPa和中层500hPa贡献数值接近，高中低层大尺度系统相互作用项对700hPa中尺度系统发展的贡献具有同步性。     

一次江淮切变线暴雨过程的数值模拟与诊断分析

采用非静力中尺度模式WRFV3.3对2010年7月12-13日一次江淮切变线暴雨过程进行数值模拟,分析了暴雨形成的大尺度环流条件、中尺度气旋演变,并对涡旋与变形场的相互作用指数VDI与降水之间的关系进行了探讨。结果表明：本次暴雨过程为典型的切变线降水过程,是在高层200 hPa强大的南亚高压稳定少动,中层500hPa短波槽生成东移、西太平洋副热带高压维持的背景下,由低层700 hPa和850 hPa切变线上中尺度低涡以及地面梅雨锋扰动的共同作用造成的。WRFV3.3较好地模拟了本次暴雨过程的雨带和暴雨中心。中尺度气旋发生于长江中下游呈东北-西南走向的切变线上,暴雨发生于700 hPa切变线南侧、低空急流轴的左侧,急流轴上的大风速中心与1 h雨强有较好的对应关系。中尺度涡旋与大风速中心之间存在着明显的相关性,风速增强,涡旋增强。VDI指数对降水中心和强度有较好的指示性,有助于在实际预报业务中对降水中心和强度做出正确判断。     

一次江淮切变线暴雨过程的数值模拟与诊断分析

采用非静力中尺度模式WRFV3.3对2010年7月12-13日一次江淮切变线暴雨过程进行数值模拟,分析了暴雨形成的大尺度环流条件、中尺度气旋演变,并对涡旋与变形场的相互作用指数VDI与降水之间的关系进行了探讨。结果表明：本次暴雨为典型的切变线降水过程,是在高层200 hPa稳定少动,强大的南亚高压,中层500 hPa东移短波槽、西太平洋副热带高压维持的背景下,由低层700 hPa和850 hPa切变线上中尺度低涡以及地面梅雨锋扰动的共同作用下造成的。WRFV3.3较好地模拟了本次暴雨过程的雨带和暴雨中心。中尺度气旋发生于长江中下游呈东北-西南走向的切变线上,暴雨发生于700 hPa切变线南侧、低空急流轴的左侧,急流轴上的大风速中心与1 h雨强有较好的对应关系。中尺度涡旋与大风速中心之间存在着相互作用,风速增强,涡旋增强。VDI指数对降水中心和强度有较好的指示性,有助于在实际预报业务中对降水中心和强度做出正确判断。     

"5.24"华南中尺度暴雨系统结构的数值模拟分析

对华南暴雨试验期一次造成华南沿海特大暴雨的锋面过程进行了高分辨数值模拟，并从不同侧面分析了该中尺度系统的结构特征和成因。本文的模拟分析表明，此次中-β尺度暴雨云团系统发生在锋面中尺度切变线附近，水平尺度小于100km，是华南锋面暴雨的一种典型结构。系统发生在地面锋线区域，近地层有中尺度辐合扰动，高层200hPa附近有强的中尺度辐散，中间各层为准无辐散。200hPa以下各层有深厚的强上升运动，最强在中层，其中在700hPa附近有明显的补偿下沉运动。中-β度的强上升运动使云系发展至200hPa以上。系统有一定的暖心结构，有别于中纬系统，也有利于层结呈准中性。湿位涡分析表明系统发展的因子是：（1）切变线扰动附近层结呈近中性；（2）近地层能量锋特明显；（3）扰动附近中低层有强的风垂直切变。这三个因子的正效应相迭加，导致了本中-β尺度系统的发展。     

200hPa非地转风和非均匀层结与梅雨暴雨的关系

本文通过1991年梅雨后期，7月1—13日200hPa非地转场分析得出，梅雨期200hPa非地转风主要由积云对流动量转换形成。其次是风速平流，并通过数值试验得以证明。非地转风形成的高层辐散，可进一步使暴雨增强与维持。另外梅雨期非均匀层结对非地转风及暴雨也有较大的影响。     

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.     

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.     

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.     

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。     

Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings

正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any     

Index to Vol.31

正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang;     

Information for Contributors

正Journal of Meteorological Research is an international academic journal in atmospheric sciences edited and published by Acta Meteorologica Sinica Press,sponsored by the Chinese Meteorological Society.It has been acting as a bridge of academic exchange between Chinese and foreign meteorologists and aiming at introduction of the current advancements in atmospheric sciences in China.The journal columns include Articles.Note and Correspondence,and research letters.Contributions from all over the world are welcome.