2011年6月28-30日广西低涡暴雨过程分析

使用NCEP/NCAR再分析资料(2.5°×2.5°经纬网格)、micaps常规资料、自动站资料对广西2011年6月28-30日持续暴雨过程进行诊断分析.跟踪ECWMF、日本、德国、北京降水等多种模式预报产品,得出结论:低涡、切变线、西南风急流的共同配合影响造成了本次降水过程.高层辐散、低层辐合的流场结构提供了暴雨天气...     

台风“罗莎”低空流场与降水中尺度结构的观测资料分析

为了进一步了解台风的水平风场结构和降水雨带的分布特征与台风强度变化的关系,利用观测资料和多普勒天气雷达探测资料对0716号台风"罗莎"的降水云系、反演的水平风场和雷达回波进行分析,结果显示:(1)在台风减弱为强热带风暴以前,低空卷入台风中心的强回波带开始出现分裂;减弱为热带风暴时,低空的强回波带出现明显的分离和断裂。雷达探测的向台风中心卷入的低空强回波带的分离和断裂,可以为台风减弱预报提供参考。(2)多普勒雷达探测资料反演的低空水平风场分析显示,虽然所处的环境风场截然相反,我国和美国两地区的热带气旋在低空存在相似的中尺度流场结构。我国东南沿海即将登陆的台风的西南侧外围与环境风场的交汇处,存在一处气流汇合带和气流辐散带,气流汇合带对应台风南侧的强降水中心。(3)通过多普勒雷达反演的低空水平风场与强度回波的叠加分析显示:台风的螺旋雨带与反演的低空水平风场的中尺度风切变线对应。这种中尺度切变在常规观测中难以发现。     

“海贝思”残留螺旋云带的中尺度暴雨成因分析

利用常规观测资料、NCEP 1°×1°再分析资料以及新一代天气雷达和区域自动站资料,对2014年登陆热带气旋(TC)"海贝思"减弱为热带低压(TD)后的残留云带造成的中尺度暴雨的成因进行了分析。结果表明:残余低压环流带来的强降水具有明显的中尺度特征,属于典型的台风螺旋云带中尺度雨团;西南和东南急流的暖式切变、辐合和辐散中心与高低层次级环流的耦合发展,均有利于螺旋云带中的中尺度系统发展。另外,分析利用单雷达反演热带气旋近中心风场的VAP扩展应用方法反演的风场,进一步证实了残余低压的螺旋云带中存在明显的围绕TD中心的中尺度螺旋结构,强降水主要由TD螺旋云带下的中尺度雨团产生。     

一种改进后的交叉相关法(COTREC)在降水临近预报中的应用

利用多普勒雷达资料,采用一种改进后的交叉相关法(COTREC)建立了一种降水临近预报方法。COTREC法的基本原理是对传统交叉相关法(TREC)反演的风场进行水平无辐散处理,得到COTREC风场,用新的风场外推得出的回波能够保持平滑连续的形状。但是这种方法也存在缺陷,由于采用水平无辐散限制,使得外推反演得到的风场在不同程度上受到削弱,从而外推后的回波略慢于实况观测的回波。通过引入数值预报平均风场作为TREC风场背景场,较好地解决了TREC风场受到削弱的问题,并用该方法对2007年6月23—24日强雷雨天气和2007年台风“圣帕”两次降水过程进行了预报试验,试验结果表明：采用改进后的交叉相关方法的降水临近预报与雷达实际观测比较一致,可作为台风、强对流等灾害性天气的降水临近预报方法之一。     

基于双多普勒雷达及闪电资料分析一次强降水过程

为进一步了解多普勒雷达及闪电资料在中小尺度天气系统方面的应用以及降水系统动力结构的研究,利用合肥和阜阳两部S波段多普勒雷达资料,通过两步变分反演法反演双雷达,并采用模糊逻辑算法进行云类型识别,再结合垂直累计液态水含量VIL、降水和闪电分布特征,分析了2010年6月7-10日发生在安徽合肥和阜阳的一次持续性强降水过程。结果表明:此次持续性强降水过程与风场的低层辐合和高层辐散、风场的气旋性旋转以及水平风切变相关;此次降水过程是以层状云降水为主的积云混合云降水;另外,以降水为主的层状云,其闪电频数低且以负闪为主,闪电之后20 min左右出现强降水;此次暴雨的VIL值不是很大,强降水区对应的VIL值基本3 kg·m-2;云识别结果、降水区、VIL值与雷达回波强度之间的对应关系较好。     

一次西南涡持续暴雨的GPS大气水汽总量特征

利用成都地区地基GPS遥感的大气水汽总量资料 (GPS-PWV)、NCEP再分析资料、自动站降水量资料和探空站比湿资料,对2010年7月15—18日发生在四川盆地东北部的一次持续性暴雨的水汽变化特征进行综合分析,重点探究这次大暴雨的影响系统 (西南涡) 发生、发展前后GPS-PWV的演变特征及其与降水的关系。结果表明:降水发生时,GPS-PWV通常在短时间内有急剧的上升,并在西南涡形成前达到最大值;西南涡完全形成时,GPS-PWV急升结束;西南涡东移,GPS-PWV继续下降到最低,降水趋于结束。与水汽通量散度相比较,水汽散度垂直通量能更好地描述暴雨过程中的强上升、辐合辐散运动以及水汽输送情况,它与GPS-PWV变化趋势基本一致。因此,GPS-PWV的急升与陡降对大暴雨的形成与减弱有一定指示意义。     

一次消（减）雨试验过程风场特征及作业效果分析

根据济南齐河多普勒雷达体扫资料,采用EVAP方法对山东2009年9月19—20日一次积层混合云降水进行风场反演,反演风场能细致地揭示本次降水过程中尺度风场的演变过程,清楚地给出了风场中尺度结构、辐合线的位置及二者演变特征。各个层次风场变化与常规探空观测的结果基本一致,降水过程前半段存在中尺度辐合线,后期随着冷空气加强南侵并完全控制了中低层,对应的地面降水也由强减弱并逐渐结束。由于反演风场能实时反映出中尺度辐合线的位置,有利于人工影响天气作业的时机及部位的选择。     

2003年两场暴雨过程中物理量对比分析

从天气学背景、物理量诊断及雷达回波等方面 ,分析了2003年6月29日20时～30日08时和7月21日08～20时河南省出现的区域暴雨过程,结果表明两次过程有相似的天气背景,有冷空气影响及强低层辐合、高层辐散的动力学结构.二者降水性质上不同,前者以系统性稳定降水为主,后者伴有对流性降水发生.     

用雷达反演资料诊断江苏地区一次暴雨过程

对2010年7月12日发生在江苏中部地区一次暴雨天气过程产生的原因、多普勒雷达图像产品特征及由雷达数据反演的物理量场进行了诊断分析和定量评估,得出如下结论:雷达径向速度图像特征变化反映了风场辐合辐散特征的变化,有助于了解雨势增减情况。多普勒雷达径向速度提取的散度数据与NCEP散度数据整体趋势上是一致的,但辐合辐散中心区位置及强度存在差别,雷达反演散度强度较NCEP大4~5倍,天气过程变化期间两者散度在垂直高度场的配置调整均能反映降水动力场变化;400hPa及以下高度反演的平均散度更可信;对于雨强小于等于16mm/h的降水天气过程效果更好。由雷达基数据定量计算得到的平均散度特征和垂直速度随时间和高度的变化,能较好的反映出强降水过程的动力学特性;雷电频次与强降水出现时次有一定相关性,约有1~2h提前量,雷电发生随时间演变与雷达回波强度时空分布较为吻合,云底动能施力参量一定程度可以描述闪电增长情况,较降雨量约有40min左右的提前量,有一定预警能力。     

1208号台风“韦森特”异常路径及其对珠三角南部暴雨影响成因分析

利用1°×1°NCEP再分析资料、全省遥测站资料、卫星云图、香港雷达图等资料,分析台风“韦森特”的环流背景场、物理量场特征,找出“韦森特”在南海中北部原地摆动和对珠三角南部强降水过程的物理成因：“韦森特”的原地摆动,与副热带高压、南海中部海温、还有台风内在的云系和风场结构的不对称有关;珠三角地区两侧附近存在弱的水汽通量辐合,在降水中心附近存在明显的上升运动,低层辐合、高层辐散,另外垂直螺旋场与降水中心的第一段降水期具有很好的对应关系.     

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