广西冰雹气候统计分析及减灾对策

统计分析了1956年以来以来广西冰雹的时空分布特征及影响因子,并提出了减灾对策.广西冰雹集中在2～5月,主要发生在14～19时;北多南少,西多东少,山区比沿海多;大范围冰雹过程可分为高原东部深槽型;南支槽型;华北深槽型.其中南支槽是冰雹天气的最主要系统;冰雹次数与拔海高度正相关,与年平均气温负相关.     

广西区域性冰雹天气的云图特征分型研究

基于2007-2017年风云系列卫星云图资料,结合高空、地面常规观测资料,针对广西23次区域性冰雹天气过程,从主要影响系统及卫星云图云型特征方面建立3种区域性冰雹卫星云图概念模型,即华北低槽型、高原东部低槽型以及南支槽东移型。结果表明：高空槽云系的位置和所属模型类型较为关键,冰雹云团多起源于高空槽前底部;华南沿海的副热带急流云系对冰雹云团的发生发展起到重要作用,冰雹云团通常发生在副热带急流云系的北侧晴空区中;广西区域性典型冰雹云团表现为长椭圆形,上风方向边界光滑呈"V"型并沿下风方向伸出很长的卷云砧。     

华南西部重大锋面暴雨天气过程研究

对1970—2006年汛期(4—9月)发生在华南西部(广西)的重大锋面暴雨天气过程进行分析研究。结果表明：华南西部重大锋面暴雨天气平均每年汛期出现10ｄ,暴雨过程日数月总值分布具有明显的“单峰型”特征,峰值出现在6月;广西北部地区发生重大锋面暴雨天气过程比南部地区明显偏多;造成华南西部重大锋面暴雨过程的天气形势特征主要有五种类型：湘黔桂低涡型、深槽型、波动型、华北槽+南支槽型和南支槽+高后型;广西区域的925 hPa的水汽通量散度、850 hPa垂直速度和θse500～850等物理量场,较好地反映了华南西部大范围锋面暴雨天气过程物理量场的变化,可作为华南西部重大锋面暴雨天气过程的物理强信号和预报着眼点。     

基于环流分型的广西冰雹潜势预报研究

利用常规观测资料,在对广西4个区域冰雹气候特征分析的基础上,对造成冰雹的环流形势分为华北低槽型、高原东部低槽型和南支槽型.检索出数值预报产品有物理意义的预报因子,采取判别分析法和指标叠套法制作广西冰雹的潜势预报.结果表明,指标叠套法优于判别分析法.基于数值模式输出场的参数估计,对于不同参数设置、不同阈值范围来制作广西冰雹落区的概率预报试验,过程预报有一定效果,但落区预报方法还有待干进一步改进.     

威海市冬季暴雪的天气气候特征

对1980～1999年冬季(11月至次年2月)威海市降雪量和08时探空及地面资料统计分析，结果表明威海市20年中冬季共出现21个暴雪日，平均每年有1个暴雪日，造成威海市冬季暴雪的天气系统为冷涡深槽和南支槽两大类，其中主要影响系统为冷涡深槽类，发生20次。     

重庆冰雹气候特征及人工防雹对策

利用重庆34个县1960—2004年的气象志、县志资料及1980—2004年的MICAPS资料,对重庆冰雹的时空分布特征、环流背景、冰雹路径等进行了综合分析。重庆冰雹在空间上存在东多西少的特征,东北部山区是冰雹频发地;近50年冰雹具有"少—多—少-多"的非均匀周期变化趋势,20世纪80年代后明显增多;月际变化呈"双峰型"分布,高峰期为4—5月和7—8月,6月相对较少;重庆冰雹天气以局地对流为主,系统性对流次之,产生系统性对流天气的环流背景分为3类,即低涡型、西北气流型和高空低槽型,其中西北气流型是主要影响系统,约占62%。给出了重庆主要冰雹路径图并提出了人工防雹的对策建议,以提高人影作业的科学性和有效性。     

能量转化视角下一次引发冬季区域强对流的南支槽研究

2020年1月24—25日广西出现一次罕见区域性强对流,过程伴随近20年最大范围冰雹天气。南支槽异常发展东移是此次过程的扰动背景,提供了必要的热动力及水汽条件。基于波作用通量及多尺度能量诊断方法,利用常规观测资料、风云卫星资料、NCEP/NCAR以及ERA5再分析资料,从能量转化角度对此次引发区域强对流的南支槽过程进行研究。结果表明:整个过程中纬度和副热带西风急流均较历史同期偏强,有利于上游扰动向下游传播。欧亚大陆上空存在南北两支活跃Rossby波列。源自地中海一带的南支副热带西风急流Rossby波列对南支槽起到主要调控作用,Rossby波能量沿急流频散并在南支槽区辐合,促进了南支槽发展东移。源自北大西洋阻塞高压内部的北支Rossby波列则起到协同作用,促进了乌拉尔山冷槽发展及其与中东槽合并,从而增强了南支波列向下游的传播,进一步增强南支槽;天气尺度有效位能向天气尺度动能的转换以及由背景场向天气尺度的动能输送是南支槽天气尺度扰动发展的主要贡献项。动能的平流输送将获得的天气尺度动能在空间上再分配,维持南支槽稳定发展东移。在此背景下,天气尺度向对流尺度的降尺度动能串级是区域强对流最主要能量...     

西风带南支槽对云南天气的影响

利用1980-2008年近30年逐日地面、高空观测资料,统计了影响云南的西风带南支槽个例,并分析了南支槽的时空分布和对云南降水的影响。结果表明,影响云南的南支槽平均每年出现18.76次,11月-次年5月平均每月出现次数相当(6-10月西风带北撤,转换为孟加拉湾槽);约5.88%的南支槽过程对云南产生大到暴雨天气,54.83%的南支槽产生小到中雨,另有17.28%的南支槽产生冰雹天气过程。南支槽的进退与西风带环流形势、副热带高压位置和高原大地形等关系密切,南支槽位置、水汽输送、湿度锋区、低空急流和冷空气强弱等条件的不同决定了降水的强弱或是否有强对流天气出现。     

福建春季冰雹天气物理量诊断分析

利用1980~1999年高空探测资料的合成分析,总结出福建区域性降雹的环境场特征,造成福建冰雹的天气型主要为冷切适中型、低涡冷切适中型、低涡冷切偏西型、冷切偏南型、冷切偏西型。福建春季冰雹的主要机理是冷空气与强暖湿气流相遇而引发的。高空西风槽和南支槽及其前侧的副热带急流和低空强西南气流及准静止切变线是诱发福建省春季冰雹最主要的天气系统。同时还分析总结出冰雹过程的热力条件、动力条件、水汽条件等物理量特征。冰雹过程,福建处在高能区、强位势不稳定区和水汽通量高值区,低层辐合、高层辐散的上下层配置有利于福建省对流天气发展。     

一次南支槽引发德宏州强对流天气成因分析

利用常规气象观测资料、静止气象卫星云图资料和多普勒雷达探测资料,对2013年5月3日一次南支槽引发云南德宏州发生雷暴大风和冰雹强对流天气过程的特征、中尺度环境场及成因进行了分析,结果表明:5月3日在南支槽天气背景下德宏区域内为对流不稳定,具上干下湿的不稳定层结,有强的垂直风切变;在干线和中尺度辐合线的触发下产生了这次强天气过程。高分辨率卫星云图能够清楚的监测MCS的发生发展,雷达监测提高了时空分辨率,监测到速度模糊、弓形回波、三体散射、后侧"V"型缺口、有界弱回波区等指示冰雹、大风等强对流天气的雷达回波特征。     

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.     

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.     

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