鹰潭市一次冻雨暴雪天气过程分析

利用常规气象资料、T213资料等,对鹰潭市2008年2月1-2日出现的冻雨、暴雪天气过程进行分析。结果表明,暴雪出现在500hPa槽前、700hPa急流轴与切变线之间、850hPa切变线附近和地面冷高压底部的区域。高空低槽东移,700hPa西南急流的南压,使得700hPa温度下降为-3．7℃,温度条件变化有利于产生降雪。中低层辐合、高层辐散及较强的上升运动,为强降雪提供较好的动力条件。850—700hPa的逆温层有利于冻雨、暴雪出现,当700hPa温度≥-1℃时,出现冻雨;当温度≤-3℃时,出现暴雪。对流层中层较好的水汽输送,是暴雪发生的重要原因之一。     

鲁南初冬一次罕见特大暴雪的成因分析

利用常规气象观测资料和NCEP/NCAR逐6 h再分析资料,对2015年11月23—24日山东南部出现的一次罕见特大暴雪天气过程进行诊断分析。结果表明：1）这是一次典型的回流形势降雪,850 hPa东南风急流影响的鲁南地区降雪强度较大,而东北风急流影响的区域降雪强度较弱。2）700 hPa强西南低空急流、850 hPa东南低空急流为鲁南地区降雪提供了充沛的水汽,水汽通量的强辐合区域即为大暴雪的发生区域。3）暴雪区上空散度呈现出弱辐散—强辐合—强辐散的垂直结构;暴雪落区与高空的强辐合中心以及强上升运动中心吻合度较高。4）暴雪期间,850～925 hPa之间维持一个逆温层;强冷空气使得925 hPa以下边界层温度锐降导致降雨迅速转雪,降雪持续时间长是鲁南地区产生异常强降雪的重要原因。     

新疆北部暖区强降雪中尺度环境与落区分析

利用常规气象观测资料、ECMWF、T639(1°×1°)再分析资料和FY-2C卫星云图资料,对2003—2013年11月至次年3月新疆北部出现26次12 h暖区强降雪天气过程的中尺度环境场特征和降雪落区进行了分析。结果表明:强降雪产生在极涡型和短波低槽型两种环流形势下,强降雪区位于低槽前部,低空急流出口区前侧辐合区和高空急流入口区右侧辐散区以及700 hPa和850 hPa辐合线和暖切变线东部、北部及干线东南部,地面辐合线附近减压升温的重叠区域内。强降雪区上空,对流层整层为80%高湿区;500 hPa以下具有不稳定层结、风垂直切变大、斜压性强;700hPa辐合线和850 hPa暖切变线及干线、地面干线及辐合线易触发不稳定能量的释放,从而为暴雪的产生提供水汽、热力和动力条件。暖区强降雪主要发生在中尺度冷云团开始缓慢减弱东移的前部及云顶亮温TBB梯度最大区域的前部。通过上述分析总结出暖区强降雪落区三维空间配置模型。     

“2009.11”山西大暴雪天气过程诊断分析

利用山西省109个测站的降雪资料、FY-2C卫星云图和华北雷达拼图,分析了2009年11月9～13日山西大暴雪天气过程的环流背景、中低空系统配置、物理量场中相对湿度、散度及垂直速度沿112.5°E的空间垂直剖面。结果表明,此次暴雪天气以500hPa南支槽与西风槽的相继影响为背景,有利的中低层(700hPa切变与急流、850hPa东风急流)系统配置为持续降雪提供了有利条件。在强降雪时段,物理量场的空间垂直剖面呈现出相对湿度在200hPa以下形成≥80%深厚的湿空气柱,整个对流层为高层辐散、低层辐合的不稳定结构,山西处于上升运动区,最大负值中心(-36×10-3 hPa.s-1)位于400～500hPa,这种配置构成了强降雪产生的有利条件。FY-2C云图的云团发展与华北雷达拼图的组合反射率因子的演变类似,强降雪主要由3次大范围的中低云系和强回波东移影响所致。     

影响东北的北上温带气旋暴雪的统计特征

利用2000-2016年常规观测、台站降水资料和NCEP的1°×1°再分析资料,对影响东北的北上温带气旋暴雪进行了统计研究。根据500 hPa环流形势分为低涡型、浅槽型和深槽型暴雪,并对这三种类型暴雪的气旋路径、强度变化、降水分布、水汽输送和热动力特征进行了详细分析。结果表明:低涡型和深槽型暴雪气旋路径为东北路,浅槽型暴雪气旋路径偏东,各类暴雪的气旋强度变化和降水分布因路径不同而有所差异;降雪最强时,低涡型和深槽型暴雪700和850 hPa都有低涡,浅槽型暴雪700 hPa为低槽。低涡型和深槽型暴雪中水汽通量散度辐合区与低层低涡气旋性闭合环流引起的辐合密切相关。浅槽型暴雪的水汽辐合源于槽前辐合;低涡型和深槽型暴雪发生在假相当位温暖舌中,浅槽型暴雪发生在较平直的假相当位温场中,深槽型和浅槽型暴雪的锋区要强于低涡型暴雪。降雪最强时,低涡型暴雪有1支高空急流,深槽型暴雪有2支高空急流,浅槽型暴雪高空急流有1支或2支。三类暴雪中心都位于北支高空急流入口区右侧或南支高空急流出口区左侧的位置。综合统计结果提出影响东北的北上温带气旋暴雪概念模型。     

2007年3月3—5日辽宁特大暴雪过程物理量诊断分析

通过对2007年3月3—5日辽宁历史罕见特大暴雪过程天气形势及物理量场分析,探讨了同期的天气形势特征及相关物理量场与暴雪落区的对应关系。结果表明:500 hPa阶梯槽和地面江淮气旋是此次过程的主要影响系统。对流层中低层辐合、高层辐散及来自2个源地的充沛水汽在有利环流背景下汇合并被抬升是产生暴雪天气过程的主要原因。强降雪出现在850 hPa涡度和200 hPa散度大值区内。温度平流的强弱及冷暖过渡带位置能够较好地反映出降水的强度及落区。     

贵州铜仁一次罕见暴雪过程分析

本文将利用常规探测资料、NCEP再分析资料和多普勒雷达资料,对2018年12月29～30日铜仁市暴雪过程的环流形势特征与成因进行分析,结果表明：此次暴雪过程发生在高空南支槽、多波动槽东移、700hPa西南暖湿急流输送及850hPa东北回流冷垫的环流背景下,表现出持续时间长、范围广、强度大、积雪深的特征;强降雪阶段对流层低层有来自孟湾的源源不断的水汽输送,湿层厚度增强,且有较强的水汽辐合;700hPa较强的垂直上升运动及对流层中低层较强的垂直风切变利于暴雪天气的发生;强降雪时刻暴雪区800hPa以上位于高层冷平流、低层暖平流的叠加区域,为不稳定大气;此次降雪具有对流性和持续性特征,雷达反射率回波云团具有列车效应。     

石家庄一次秋季罕见暴雪天气过程物理诊断分析

利用NCEP再分析资料,采用天气学诊断方法,对2009年11月10—12日石家庄地区出现的一次历史同期罕见区域性暴雪天气过程的环流特征和物理量场进行了探讨。结果表明：此次暴雪天气过程属典型的东北回流型降雪,地面从贝加尔湖南下冷高压与河套低压倒槽、700 hPa暖式切变线、500 hPa高空槽是主要影响系统。低空西南急流与超低空东北急流耦合,在为暴雪提供水汽和热量输送的同时加强了抬升运动。水汽的垂直输送导致局地比湿显著增大,深厚的湿层和强烈的水汽辐合为暴雪提供了充沛的水汽条件。“高空辐散、低空辐合”以及强劲的上升运动是暴雪的动力条件,降雪强度最大时段对应上升运动的强盛发展阶段。暴雪开始阶段云水含量的时空演变特征,一方面显示了水汽的迅速增加与爬升,另一方面也说明了地形的强迫抬升作用不容忽视。850 hPa温度低于700 hPa,有利于水汽经过此层时被凝华成固态。逆温层提前24 h出现,而且暴雪最强时段内两层温差均为5 ℃以上,这对暴雪预报具有指示意义。     

石家庄一次秋季罕见暴雪天气过程物理诊断

利用NCEP再分析资料,采用天气学诊断方法,对2009年11月10—12日石家庄地区出现的一次历史同期罕见区域性暴雪天气过程的环流特征和物理量场进行了探讨。结果表明:此次暴雪天气过程属典型的东北回流型降雪,地面从贝加尔湖南下冷高压与中国河套低压倒槽、700 hPa暖式切变线和500 hPa高空槽是主要影响系统。低空西南急流与超低空东北急流耦合,在为暴雪提供水汽和热量输送的同时加强了抬升运动。水汽的垂直输送导致局地比湿显著增大,深厚的湿层和强烈的水汽辐合为暴雪提供了充沛的水汽条件。"高空辐散、低空辐合"以及强劲的上升运动是暴雪的动力条件,降雪强度最大时段对应上升运动的强盛发展阶段。暴雪开始阶段云水含量的时空演变特征,一方面显示了水汽的迅速增加与爬升,另一方面也说明了地形的强迫抬升作用不容忽视。850 hPa温度低于700 hPa,有利于水汽经过此层时被凝华成固态。逆温层提前24 h出现,而且暴雪最强时段内两层温差均为5℃以上,这对暴雪预报具有指示意义。     

华北地区2015年“1106”降雪过程诊断分析

利用中国气象局MICAPS地面、高空等常规观测资料及欧洲中心ERA-Interim的0.25°（纬度）×0.25°（经度）逐6 h再分析资料,对2015年11月5日至7日影响北京、河北的一次降雪过程的环流形势和动热力物理量进行了诊断分析,揭示了降雪特征及其形成原因。环流形势分析发现,此次降雪是在高空两槽一脊叠加短波槽活动天气背景下的“回流型”降雪。500 hPa有西伯利亚脊的发展和内蒙古地区气旋性涡旋及其向南发展出的弱槽,使得偏北冷空气与西南暖气流在河北地区相遇,伴随低层700 hPa的低涡发展,造成了此次降雪天气。500 hPa多小槽波动东移,使得雨雪天气维持较长时间;700 hPa受偏南暖湿气流影响,850 hPa为偏东风,地面高压底部偏东风配合倒槽,有较好的上升运动和水汽输送条件;高湿的大气环境条件和低层水汽辐合及抬升为降雪发生提供了充沛的水汽;高低空急流的形成,与散度场、涡度场和垂直速度场的高低空耦合配置,为降雪天气的发生创造了动力条件。     

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