首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 109 毫秒
1.
汪宁  许遐祯  王莹  张耀存  吴伟 《大气科学》2017,41(3):461-474
利用NCEP/NCAR再分析资料和我国地面735站气温和降水资料,首先分析了欧亚遥相关型的时间演变和结构特征,在此基础上探讨了欧亚遥相关型不同位相时东亚大气环流的差异,并进一步研究了欧亚遥相关型影响我国冬季气温和降水过程中东亚高空急流的重要作用。从结构上看,欧亚遥相关型位势高度异常中心位于250 hPa高度,表现出准正压的结构。欧亚遥相关型位于正位相时,东亚温带急流强度偏弱且位置向北移动;副热带急流强度偏强,两支急流在45°N附近有明显分界;西伯利亚高压和阿留申低压强度增强;东亚大槽加深,槽线倾斜不明显。负位相时则相反。欧亚遥相关型与东亚高空急流的联系是其影响我国气温降水的重要原因。正欧亚遥相关型时,偏弱的温带急流区较强的北风分量有利于北方冷空气南下,从而造成我国气温偏低;偏强的副热带急流区增强的南风将副热带地区暖湿空气向北输送,两支急流协同变化,影响我国冬季降水异常的分布。去掉温带急流或副热带急流偏强的年份,欧亚遥相关型与我国温度、降水的相关性显著减弱,说明欧亚遥相关型是通过东亚高空急流协同变化的桥梁,对我国温度和降水异常产生影响。进一步研究发现,欧亚遥相关型与副热带急流的关系不如其与温带急流稳定,导致在欧亚遥相关型同一位相时东亚高空急流存在两种不同的配置,这种高空急流配置的不唯一性使得东亚高空急流能对欧亚遥相关型的气候效应起到调控作用。  相似文献   

2.
利用1951-2018年大连地区7个站的逐日气温和降水资料、2018年7-8月220个自动站的降水资料及1948-2018年NCEP逐日再分析资料,对2018年盛夏大连地区极端高温干旱天气过程的基本特征及大气环流异常成因进行分析。结果表明:大连地区各站的高温日数和高温持续日数均列历史首位,持续无降水日数远超历史同期纪录,降水较常年偏少7-8成。大连地区上空受正压结构的异常反气旋性环流控制,并叠加欧亚(EU)遥相关型,同时,东亚沿岸由南至北为"负-正-负"的高度距平分布,呈"东亚-太平洋型"遥相关负位相的特征,对流层低层菲律宾附近至日本以南地区维持异常的气旋式环流。西太平洋副热带高压异常偏西偏北,与异常偏东偏北的南亚高压相向运动,强度同步发展加强并叠加在大连地区上空,引起整层大气增温。高空西风急流异常偏北,冷空气活动偏北不易南下。在副热带和东亚中高纬大气环流的这种配置下,大连地区上空受异常反气旋控制,在其南侧存在一个气旋性环流,阻挡暖湿气流向大连地区输送,加之异常辐散下沉运动影响,不利于形成降水。  相似文献   

3.
2020年5月30日至6月10日广西出现了大范围持续性暴雨天气过程,造成西江流域部分地区发生洪涝及其衍生灾害。基于广西90个气象观测站降水数据和NCEP/NCAR逐日再分析资料,研究了此次持续性暴雨过程的天气气候特征。结果表明:(1)持续性暴雨期间,西太平洋副热带高压异常偏强、偏西,稳定控制在华南及南海地区,青藏高原上不断有高空短波槽东移。广西位于短波槽槽前和西太平洋副热带高压西侧,大量水汽沿短波槽前和南海季风槽槽前的西南气流向广西输送,有利于暴雨天气维持。(2)暴雨期间大气环流的经向度增加,冷空气势力增强。弱冷空气持续南下到达广西北部与暖空气交汇,诱发暴雨发生。(3)高温高湿高能使广西大气变得异常不稳定,为广西持续性暴雨天气产生提供了有利条件。  相似文献   

4.
利用NCEP/NCAR再分析资料和CPC逐日北极涛动(AO)指数资料,结合近30年欧亚地区地面气温年际异常变化的可能机理,分析了AO异常波动对2012年欧亚地区严寒天气过程的影响。结果表明,AO发生负异常波动对2012年1—2月欧亚地区异常寒冷天气起到至关重要的作用。AO在12月为正异常波动,次年1—2月则呈现负异常波动,其中1月中下旬至2月中旬的负异常波动过程比较显著。在AO负异常影响下,极涡面积增大,冷空气活动加强,中纬度纬向环流减弱而经向环流增强,造成冷、暖空气交换加剧,极地冷空气南下入侵到中纬度地区,从而导致欧亚大陆异常寒冷天气;同时,由北大西洋及地中海北上的暖湿气流,在遭遇冷空气阻碍后给西欧和南欧一些地区带来了大面积的雨雪天气。  相似文献   

5.
“05.6”华南暴雨中低纬度系统活动及相互作用   总被引:4,自引:2,他引:2       下载免费PDF全文
利用NCEP/NCAR再分析资料、FY-2C卫星逐时云顶亮温资料(分辨率为0.05°×0.05°)及射出长波辐射资料(分辨率为0.5°×0.5°)、实时地面加密观测和实况探空资料等,对"05.6"华南持续性暴雨过程期间南海季风活动、副热带高压演变、冷空气影响、高低空急流耦合等进行深入分析,探讨中低纬度不同尺度系统的活动特征及相互作用。结果表明:"05.6"华南暴雨是在中纬度地区位势高度场稳定的北高南低背景下,由东亚沿岸槽和青藏高原短波系统引导中纬度冷空气与低纬度地区季风系统相互作用下产生的;南海副热带季风的活跃与100°~120°E处越赤道气流通道的消失密切相关,其两次大规模向北推进是过程开始和结束的重要标志;副热带高压较多年平均明显偏南且强度达到最强,700 hPa中纬度冷空气的明显南侵对暴雨过程有重要贡献;高空急流入口区右后方与低空急流左侧由于强烈的高空辐散和非地转平衡强迫,构成一支横跨低空急流的经向次级环流,高低空急流耦合的正反馈机制是华南暴雨异常的重要原因之一。  相似文献   

6.
彭韵萌  徐海明 《气象科学》2021,41(3):363-373
利用NCEP/NCAR再分析数据集和国家气候中心整编的2 000多站逐日降水资料,对导致2017年华西秋季降水异常偏多的大气环流特征及其成因进行分析。结果表明,2017年秋季500 hPa位势高度上欧亚中高纬地区维持一脊一槽环流型,斯堪的那维亚半岛上空有一强大的高压脊,乌拉尔山以东—巴尔喀什湖有一深槽,西太平洋副热带高压异常强大并偏西伸。来自极地的冷空气与来自太平洋和孟加拉湾的暖湿气流交汇于华西地区。华西地区处于东亚副热带西风急流入口南侧的高空辐散区,低层对应较强辐合区和异常上升运动,有利于降水的维持。进一步分析表明,2017年华西秋雨异常偏多是同期巴伦支海海温异常偏暖和中纬度北大西洋海温异常偏暖以及赤道中东太平洋La Ni1a型海温异常共同作用的结果,其中巴伦支海海温异常与华西秋季降水在年代际时间尺度上存在较为一致的变化,两者自1986年起均处于一致的负位相,而2000年以后两者由负位相转为正位相;秋季中纬度北大西洋海温异常与华西秋雨之间的年际关系也存在明显的年代际转折,在2002年前后由两者不存在关系转为显著正相关关系。以上各个海区海温异常对华西秋雨的影响也通过一系列的大气环流模式模拟试验进行了验证。  相似文献   

7.
何小宁  吴幸毓 《气象研究与应用》2012,33(3):21-24,37,114
利用常规观测资料、NCEP 1°×1°再分析资料、新一代天气雷达资料,对2012年3月6日-7日福建省北部地区暴雨成因进行诊断分析。结果表明:此次降水过程在高空西风槽南下带来的冷空气与西南暖湿气流交汇的背景下产生,暴雨区位于低空西南急流北侧、低层切变南侧、地面冷锋附近;强降水落区位于层结不稳定的湿区中,低层辐合、高层辐散有利于对流发展;干冷空气的侵入时高层高值位涡库向北向下伸展,促使中低层气旋涡度发展,从而导致强降水的发生;雷达回波分析表明,低层暖平流、高层冷平流、区域上空辐合形势都有利于对流性降水的产生。  相似文献   

8.
2004年7月冷空气活动及其对西南地区强降水的影响   总被引:1,自引:0,他引:1  
陈艳  丁一汇 《气象学报》2006,64(6):743-759
利用中国逐日站点降水资料和NCEP/NCAR再分析资料,分析了2004年盛夏(7月)中国西南地区的强降水过程及冷空气活动在降水过程中的作用。结果显示:西南地区强降水与冷空气的活动关系密切,强降水的发生是中高纬环流变化和低纬系统共同作用的结果。首先,中纬度的低槽冷涡与登陆北上台风和东移西南涡合并,以及东亚地区横槽向竖槽的迅速转变,造成了7月上旬和中旬中高纬环流的3次大调整,东亚地区长波迅速增幅,从而导致了盛夏罕见的大范围冷空气向低纬地区的侵袭。与此同时,暖湿的西南夏季风十分活跃,二者在中国南方地区产生强烈相互作用,结果在冷空气南侧形成大范围的对流性降水。其中,冷空气活动对降水的影响主要表现在3个方面:其一,中高层冷空气的迅速南下常伴有偏南高空急流,位于急流中心左前方的次级环流上升支为降水的形成提供了有利的动力抬升条件。其二,冷空气向南推进极大地增强了大气的斜压性,有利于斜压扰动的发展。冷空气迅速南下造成对流有效位能释放,从而形成大范围的对流活动。另外,中高层干冷空气的平流也是暴雨区位势不稳定得以重建并产生持续性强降水的重要原因。  相似文献   

9.
利用MICAPS常规资料和NCEP再分析资料,对2013年7月辽宁省降水异常物理机制进行了研究。结果表明:2013年7月辽宁省降水偏多发生在异常环流背景下,乌拉尔山高压脊和贝加尔湖低压槽强度大于常年,冷空气偏强且路径偏南;东亚40°—50°N处在纬向强锋区中,有利于气旋生成发展;副热带高压脊线比常年偏北2个纬度,西北侧暖湿气流活跃。7月中高纬地区有3次明显冷空气向南侵入至40°N,与中低纬北上至40°N及以北的暖湿气流交绥形成暴雨,影响系统分别为华北气旋、蒙古气旋冷锋和副热带高压西侧辐合线,不同影响系统暴雨过程的物理机制存在差异。3次暴雨过程中,华北气旋暴雨水汽供应最充沛,水汽源地不仅有西太平洋、南海、东海和黄海,还有孟加拉湾;暴雨区水汽主要由副热带高压外围西南或偏南气流向北输送,东海北部和黄海是水汽汇合及输送量最大的区域。高空急流受贝加尔湖低槽强度影响,不同影响系统高空急流演变和强度不同,低空急流分布与强度及高空辐散区、低空辐合区相对高、低空急流轴分布的位置也不同;高、低空急流耦合发展及高空辐散区、低空辐合区叠置产生的强垂直上升运动造成了水汽强烈辐合,其中华北气旋暴雨水汽辐合最强,水汽辐合层顶达850hPa,蒙古气旋冷锋和副热带高压西侧辐合线暴雨水汽辐合顶在900hPa附近及以下。热力分析表明,3次暴雨过程环境大气中层均有干冷空气侵入,增加了降水对流的不稳定性。  相似文献   

10.
东亚地区水汽输送与重庆夏季旱涝的联系   总被引:5,自引:2,他引:3  
利用NCEP/NCAR(1960—2006年)的全球再分析格点资料,研究了东亚地区水汽输送异常与重庆夏季旱涝的关系。结果表明:当重庆夏季(7~8月)降水偏多(涝)时,欧亚地区中高纬维持"两脊一槽"的"双阻"型:乌拉尔山和鄂霍茨克海地区分别存在阻高,贝加尔湖地区为一槽区。冷空气沿着贝加尔湖槽后偏北风和乌拉尔山阻塞高压的南支西风南下进入中国。热带太平洋地区为显著的高度距平正异常区。副热带地区是高度距平负异常区,西太平洋副热带高压脊线位置偏南、强度偏强。来自热带海洋地区的暖湿气流分别沿西太平洋副热带高压西南侧和经印度、孟加拉湾两条主要路径进入中国。当来自高、低纬地区的冷、暖空气在长江流域中上游相遇,就会造成重庆等长江中上游地区降水异常偏多,发生洪涝。反之,降水偏少(旱)年,在欧亚中高纬地区存在"一槽一脊"的环流形势:乌拉尔山附近为一深厚的槽区;鄂霍茨克海阻塞高压异常发展,一直延伸到贝加尔湖附近;西欧地区维持着深厚的高压脊。西太平洋副热带高压位置偏北、偏东,主体基本退出中国大陆地区。整个热带为高度距平负异常区。这样环流形势致使东亚地区中高纬地区受乌拉尔山大槽影响盛行偏南风,不利于冷空气南下。低纬地区的暖湿气流沿着西太平洋副热带高压南面的东南气流从华南进入中国。这样的环流配置易造成南下的冷空气偏弱,同时使来自热带地区的暖空气向北推进到中国华北和东北地区,致使冷、暖空气无法在长江中上游地区交汇,该区域降水显著减少,形成干旱。  相似文献   

11.
The record-breaking mei-yu in the Yangtze-Huaihe River valley (YHRV) in 2020 was characterized by an early onset, a delayed retreat, a long duration, a wide meridional rainbelt, abundant precipitation, and frequent heavy rainstorm processes. It is noted that the East Asian monsoon circulation system presented a significant quasi-biweekly oscillation (QBWO) during the mei-yu season of 2020 that was associated with the onset and retreat of mei-yu, a northward shift and stagnation of the rainbelt, and the occurrence and persistence of heavy rainstorm processes. Correspondingly, during the mei-yu season, the monsoon circulation subsystems, including the western Pacific subtropical high (WPSH), the upper-level East Asian westerly jet, and the low-level southwesterly jet, experienced periodic oscillations linked with the QBWO. Most notably, the repeated establishment of a large southerly center, with relatively stable latitude, led to moisture convergence and ascent which was observed to develop repeatedly. This was accompanied by a long-term duration of the mei-yu rainfall in the YHRV and frequent occurrences of rainstorm processes. Moreover, two blocking highs were present in the middle to high latitudes over Eurasia, and a trough along the East Asian coast was also active, which allowed cold air intrusions to move southward through the northwestern and/or northeastern paths. The cold air frequently merged with the warm and moist air from the low latitudes resulting in low-level convergence over the YHRV. The persistent warming in the tropical Indian Ocean is found to be an important external contributor to an EAP/PJ-like teleconnection pattern over East Asia along with an intensified and southerly displaced WPSH, which was observed to be favorable for excessive rainfall over YHRV.  相似文献   

12.
利用地面加密降水资料、NCEP fnl再分析资料和风云4A卫星TBB资料,对2020年7月5-8日长江中下游地区的连续性大暴雨过程进行了诊断分析。结果表明,这次连续性大暴雨过程是在有利的大尺度环流背景下,受切变线影响由列车型对流云团产生的。7月5-8日,亚洲中高纬度大气环流调整,贝湖的东阻高崩溃,带动中高纬度的中高层冷空气持续南下,在长江流域与北上的暖湿气流交汇,使得暴雨产生和发展;同时干冷空气的侵入加强了暴雨过程的对流性不稳定,对暴雨的加强和发展起到重要作用。暴雨期间,低空西南急流的增强提供了有利的水汽输送条件,高空急流增强并发生“倾斜”,高低空急流的耦合在长江中下游上空形成了强烈的高空辐合与低空辐散,使得旺盛的上升运动延伸至对流层高层。在有利的环流背景条件下,中尺度对流系统的“列车效应”是导致本次大暴雨的直接原因。  相似文献   

13.
By using the gauged rainfall in 160 stations within mainland China and the NCEP/NCAR reanalysis data, the impacts of anomalous SST in Kuroshio and its extension on precipitation in Northeast China were investigated. The results show that a difference in the meridional circulation such as the East Asia/Pacific teleconnection pattern(EAP)may be responsible for the difference in rainfall between 1998 and 2010. In comparison with 1998, the anomalous meridional circulation pattern in 2010 shifted northeastward, and then the western subtropical high, the mid-latitudinal trough and the northeastern Asia blocking high also shifted northeastward, causing intensified convergence of the cold and warm air masses at the southern region and thus more rainfall in the southwestern region and less in the northwestern region. In 1998, the anomalous cyclone, one component of the meridional pattern, located at the Songhuajiang-Nengjiang River basin, resulted in more rainfall in the majority of the area. The results of observation and the model show that the difference in SSTA in Kuroshio and its extension under the background of different El Ni觡o events is the key point:(1) The anomalous warmth moved westward from the mid-Pacific to the east of the Philippine Sea during the central event, which led the heat resources shifting to the northeast in 2010; subsequently, a shift occurred to the north of the anomalous ascent and decent, followed by a warm SSTA in the region of Kuroshio's extension in 2010 and Kuroshio in 1998.(2) The warm SSTA in the Kuroshio extension causing the Rossby wave activity flux strengthened in 2010, and then the westerly jet shifted northward and extended eastward. A warm SSTA in Kuroshio and cold SSTA in its extension in 1998 caused the westerly jet to shift southward and weaken. As a result,the anomalous anticyclone and cyclone shifted northward in 2010, and the blocking high also shifted northward.  相似文献   

14.
利用NCEP/NCAR的再分析资料、常规气象观测资料对2012年韶关地区“龙舟水”前后的特征进行分析,结果表明:北半球中高纬维持稳定的“两脊一槽”大气环流形势,有利引导冷空气与华南沿海暖湿空气交汇;中低层冷暖切变、低涡高低空急流耦合、边界层辐合渐近线为暴雨触发机制;过程的水汽源于孟加拉湾和南海,水汽辐合主要在华南;暴雨是在大气层结不稳定的条件下,但是一定要有触发机制把气层的不稳定能量释放出来转化成上升气块的动能,才能造成持续性暴雨的出现.  相似文献   

15.
Previous studies have shown that meridional displacement of the East Asian upper-tropospheric jet stream (EAJS) dominates interannual variability of the EAJS in the summer months. This study investigates the tropical Pacific sea surface temperature (SST) anomalies associated with meridional displacement of the monthly EAJS during the summer. The meridional displacement of the EAJS in June is significantly associated with the tropical central Pacific SST anomaly in the winter of previous years, while displacements in July and August are related to tropical eastern Pacific SST anomalies in the late spring and concurrent summer. The EAJS tends to shift southward in the following June (July and August) corresponding to a warm SST anomaly in the central (eastern) Pacific in the winter (late spring-summer). The westerly anomaly south of the Asian jet stream is a result of tropical central Pacific warm SST anomaly-related warming in the tropical troposphere, which is proposed as a possible reason for southward displacement of the EAJS in June. The late spring-summer warm SST anomaly in the tropical eastern Pacific, however, may be linked to southward displacement of the EAJS in July and August through a meridional teleconnection over the western North Pacific (WNP) and East Asia.  相似文献   

16.
利用NECP/NCAR再分析资料、国家气候中心和NOAA相关资料,研究了与2014年浙江夏季低温多雨事件相关的大尺度环流特征和海温因子。结果表明:中纬度我国东部到日本南部气旋性环流异常的存在有利于浙江夏季出现低温多雨,异常偏强偏南的西太平洋副热带高压(简称副高)是8月罕见低温多雨的直接原因;东亚-太平洋型遥相关(EAP)和欧亚型遥相关(EU)是影响浙江夏季低温阴雨的主要遥相关型,当EAP负位相和EU正位相时,冷空气容易堆积和南下,与暖湿气流交汇,有利于降水降温,8月罕见低温阴雨是EAP负位相和EU正位相协同作用的结果。进一步的分析表明ENSO暖位相激发了西太平洋上空强烈的异常下沉气流和反气旋,使得副高偏南偏强,东亚地区呈EAP波列型响应;热带印度洋海温全区一致模态(IOBW)暖位相的维持进一步减弱了8月海洋性大陆地区的对流活动;北大西洋中部海温季内的变化或许与EU位相的转变有联系。  相似文献   

17.
Abstract

We analyzed the relationship between an index of Great Lakes winter severity (winters 1950–1998) and atmospheric circulation characteristics. Classification and Regression Tree analysis methods allowed us to develop a simple characterization of warm, normal and cold winters in terms of teleconnection indices and their combinations. Results are presented in the form of decision trees. The single most important classifier for warm winters was the Polar/Eurasian index (POL). A majority of warm winters (12 out of 15) occurred when this index was substantially positive (POL > 0.23). There were no cold winters when this condition was in place. Warm winters are associated with a positive phase of the Western Pacific pattern and El Niño events in the equatorial Pacific. The association between cold winters and La Niña events was much weaker. Thus, the effect of the El Niño/Southern Oscillation (ENSO) on severity of winters in the Great Lakes basin is not symmetric. The structure of the relationship between the index of winter severity and teleconnection indices is more complex for cold winters than for warm winters. It takes two or more indices to successfully classify cold winters. In general, warm winters are characterized by a predominantly zonal type of atmospheric circulation over the Northern Hemisphere (type W1). Within this type of circulation it is possible to distinguish two sub‐types, W2 and W3. Sub‐type W2 is characterized by a high‐pressure cell over North America, which is accompanied by enhanced cyclonic activity over the eastern North Pacific. Due to a broad southerly “anomalous” flow, surface air temperatures (SATs) are above normal almost everywhere over the continent. During the W3 sub‐type, the polar jet stream over North America, instead of forming a typical ridge‐trough pattern, is almost entirely zonal, thus effectively blocking an advection of cold Arctic air to the south. Cold winters tend to occur when the atmospheric circulation is more meridional (type C1). As with warm winters, there are two sub‐types of circulation, C2 and C3. In the case of C2, the jet stream loops southward over the western part of North America, but its northern excursion over the eastern part is suppressed. In this situation, the probability of a cold winter is higher for Lake Superior than for the lower Great Lakes. Sub‐type C3 is characterized by an amplification of the climatological ridge over the Rockies and the trough over the East Coast. The strongest negative SAT anomalies are located south of the Great Lakes basin, so that the probability of a cold winter is higher for the lower Great Lakes than for Lake Superior.  相似文献   

18.
利用1999—2008年5—8月中国160站月平均气温资料、每日2次的MICAPS资料及每日4次的NCEP 1°×1°资料,通过定义一个夏季华北冷涡强度指数(NCCVI),研究了夏季华北冷涡异常年西太平洋副高、东亚季风、高空急流及低层垂直运动的异常特征。结果表明:夏季NCCVI异常强年500 hPa上贝加尔湖地区有气旋性环流发展,从贝加尔湖至我国华北地区为一显著的高空槽所控制,冷空气较活跃并随槽后引导气流扩散南下影响华北地区。对流层各层偏暖湿,200 hPa上高空急流偏强,700 hPa上高纬冷涡后部偏北气流加强,低纬偏南气流加强,冷暖空气在华北交汇,华北和东北地区低层上升运动发展。同期副热带高压偏强,位置略偏南;东亚夏季风偏强, 加强了水汽输送。夏季NCCVI异常弱年相反。  相似文献   

19.
1998年夏季中国暴雨洪涝灾害的气象水文特征   总被引:28,自引:7,他引:28       下载免费PDF全文
文章分析了1998年夏季我国长江、嫩江、珠江流域发生的严重洪涝灾害的气象、水文特征及其成因。6月中、下旬珠江、长江、嫩江流域出现了持续性强降水, 局部地区下了大暴雨; 7月下旬长江流域出现了“二度梅”, 湖南、湖北和江西省普降暴雨; 8月上半月嫩江流域再次出现持续性强降水。频繁的强降水使长江、嫩江、华南西江等干、支流水位迅猛上涨, 支流河水不断涌入干流, 使得干流洪峰迭起。雨水和洪峰迭加, 引发了百年一遇的大洪水。1998年7月副热带高压南落是造成长江流域“二度梅”的主要原因。副热带高压、南海季风涌、中高纬冷空气和从青藏高原东移的中尺度对流系统 (MCS) 等4个因子的最佳组配, 有利于长江流域出现持续性强降水。  相似文献   

20.
An extreme monsoonal heavy rainfall event lasted for nine days and recurred in the interior of northern south China from June 13 to 21, 2022. Using regional meteorological stations and ERA5 reanalysis data, the causes of this extreme monsoonal rainfall event in south China were analyzed and diagnosed. The results are shown as follows. A dominant South Asian high tended to be stable near the Qinghai-Tibet Plateau, providing favorable upper-level dispersion conditions for the occurrence of heavy rainfall in south China. A western Pacific subtropical high dominated the eastern part of the South China Sea, favoring stronger and more northward transport of water vapor to the northern part of south China at lower latitudes than normal. The continuous heavy precipitation event can be divided into two stages. The first stage (June 13-15) was the frontal heavy rainfall caused by cold air (brought by an East Asian trough) from the mid-latitudes that converged with a monsoonal airflow. The heavy rains occurred mostly in the area near a shear in front of the center of a synoptic-system-related low-level jet (SLLJ), and the jet stream and precipitation were strongest in the daytime. The second stage (June 16-21) was the warm-sector heavy rainfall caused by a South China Sea monsoonal low-level jet penetrating inland. The heavy rainfall occurred on the windward slope of the Nanling Mountains and in the northern part of a boundary layer jet (BLJ). The BLJ experienced five nighttime enhancements, corresponding well with the enhancement of the rainfall center, showing significant nighttime heavy rainfall characteristics. Finally, a conceptual diagram of inland-type warm-sector heavy rainfall in south China is summarized.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号