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 500 毫秒
1.
2019年超强台风“利奇马”引发浙江特大暴雨过程分析   总被引:1,自引:0,他引:1  
利用NCEP FNL 0.25°×0.25°的再分析资料和浙江省中尺度气象站降水资料,从产生强降水的条件来对“利奇马”特大暴雨过程进行诊断分析。结果表明:(1)强降水主要集中在近台风中心的西南部分及其稍远的北部,其中近台风中心为眼壁降水,北部为螺旋云带降水;(2)850~925 hPa水汽通量辐合中心与暴雨落区一致,水汽辐合强度差异是造成台风眼壁强降水落区差异的关键;(3)台风强度大时近中心上升运动强烈,正垂直螺旋度中心值的减小和中心下降对应强降水的发生,低层正螺旋度和高层负螺旋度中心的重叠区对对流性降水落区有一定的指示;(4)本次过程地形增益最明显地区在台州北部,在水汽条件处于劣势情况下出现降水副中心。  相似文献   

2.
台风“韦帕”(0713)引发华东暴雨过程的诊断比较   总被引:7,自引:7,他引:0       下载免费PDF全文
采用湿Q矢量、螺旋度、湿位涡对给华东造成严重灾害的超强台风"韦帕"(0713)强降水过程进行诊断比较分析,结果表明:登陆前,上述物理量均能提前指示强降水落区,湿位涡有更多提前指示时间,螺旋度次之,湿Q矢量最少;登陆后,三者均能表征台风主体云系降水,湿位涡、螺旋度与强降水有较好对应关系,而湿Q矢量指示强降水位置偏北,但湿位涡会出现一定程度空报现象;台风深入内陆后,螺旋度预报指示明显不如湿位涡、湿Q矢量好,螺旋度指示强降水位置偏东,而湿Q矢量指示强降水范围略偏小;对台风后部强降水,湿Q矢量和螺旋度均未能预报出降水落区,而湿位涡仍有较好的预报效果。从区域平均看,螺旋度与湿Q矢量的预报指示时效小于12 h,而湿位涡超过12 h。  相似文献   

3.
周泓  金少华  尤红 《气象科学》2012,32(3):339-346
利用地面加密观测、Micaps资料和NCEP1°×1°再分析资料对1003号"灿都"台风造成云南暴雨进行诊断分析。结果表明:台风低压为高温高湿且具有强对流不稳定的深厚系统。进入云南后除了自身携带的大量水汽和能量外,先后有副热带高压西侧强盛偏南急流和孟加拉湾西南气流卷入,使得台风低压在云南持久不衰,并产生全省性强降水。诊断量"水汽螺旋度"对暴雨落区和强度有较好的对应关系,强降水多发生在水汽螺旋度正值中心的偏南侧。"水汽螺旋度"随时间变化的两个影响因子"螺旋度通量散度"和"湿螺旋度散度"对强降水的落区和强度也有较好的指示作用。若是分别对两个因子进行诊断,再综合分析环流形势,将能达到更好的强降水预报效果。  相似文献   

4.
基于T/2分数间隔的SEI双模式盲均衡算法   总被引:3,自引:0,他引:3  
采用NCEP/NCAR 1°×1°最后分析资料(final analysis,FNL)计算“圣帕”台风螺旋度,探讨各垂直层上水平螺旋度与强降水时间演变的关系、水平螺旋度与强降水落区的关系以及垂直螺旋度时间演变与强降水发生、发展的关系。结果表明,700 hPa螺旋度最能反映强降水时间演变,正螺旋度大值中心附近与暴雨落区一致,同区域内螺旋度中心值的强弱与该区域内降水的强弱关系密切;若垂直方向上高低层的螺旋度同时由负值转为正值,则强降水发生,反之降水减弱、停止;对于预报台风强降水时效,水平螺旋度远比垂直螺旋度、散度、垂直速度具有更多有效预报时间;对于预报台风强降水落区,垂直螺旋度比水平螺旋度更具有优势,若能利用垂直螺旋度对水平螺旋度预报强降水作出订正可能将有助于提高台风强降水预报准确率。  相似文献   

5.
运用自动站6 h降水资料和NCEP/NCAR的0. 25°×0. 25°再分析数据,着重分析了1513号台风"苏迪罗"及其残涡影响江苏期间强降水落区的分布特征,以及强降水落区与风场、涡散度、水汽通量散度等要素的对应关系。分析结果表明:强降水多分布在台风低层环流中心东北侧,风场围绕环流中心非对称分布造成辐合和正涡度在此处集中,进一步导致水汽在同一地区辐合,动力条件和水汽条件在同一地区叠加是强降水区位于环流中心东北侧的直接原因。单一等压面上的负散度和正涡度均可以在一定程度上指示出强降水站点位置,不同层次涡散度场的涵盖范围有所不同,三层算术平均后的涡散度较单一层次的指示性更为准确。"苏迪罗"登陆后在北上过程中接近中高纬西风带系统,环境风垂直切变逐渐增强且方向稳定,强降水落区基本位于850 h Pa至200 hPa间切变矢量的顺切变左侧,这一特征对判断登陆台风强降水落区具有一定的指导意义。  相似文献   

6.
0908号台风“莫拉克”诱发浙闽暴雨的螺旋度分析   总被引:2,自引:2,他引:0  
利用气象常规资料和NCEP同化资料,对0908号台风“莫拉克”登陆浙闽诱发的暴雨过程进行螺旋度诊断分析。结果表明:925hPa螺旋度与浙闽暴雨中心强降水演变一致;中低层水平螺旋度由负转正时,浙闽降水急剧增加,减少时则降水趋于结束;垂直螺旋度正极值区与强降水中心对应,预报台风强降水落区,垂直螺旋度比水平螺旋度更具有优势;垂直方向上,用中低层垂直螺旋度“由极大值减小”来判别“莫托克”暴雨结束时间,比水平螺旋度有更多有效预报时效;若能结合水平和垂直螺旋度预报强降水,将有助于提高台风强降水预报准确率。  相似文献   

7.
利用湿位涡、螺旋度和湿矢量对"海葵"登陆前后强度变化及造成浙江省强降水诊断分析,结果表明,广阔的暖海面、高空急流的维持、弱纬向风垂直切变及暖心结构的增强为"海葵"在近海发展提供条件。TC中心附近mpv1负中心的出现及mpv2正值区的抬升,及此后mpv2由正转负的过程,分别对其发展和衰减有12~18 h的提前量。台风先增强后减弱的过程对其大风区内高层水平螺旋度负-正-负的转换存在12 h的响应时间。大气层结不稳定条件下,TC强度发展有利于中心附近能量积累,促使低层气流增强并携带丰富水汽输送至浙东沿海,形成暴雨。台风大风区内高层水平螺旋度的演变通过影响TC强度,促使低空水平螺旋度变化,850 hPa数值增加及减弱为零的过程分别对强降水的形成与减弱有9~12 h左右的预示,且中心阈值一定程度上可表征TC登陆前后降水强度与持续时间上的差异。湿矢量可预示雨带分布,其负值区大小对雨带范围的表征能力较强但负值中心相对降水中心偏北,且无法反映登陆前后降水强度的差异。  相似文献   

8.
台风“风神”暴雨落区的诊断分析   总被引:4,自引:1,他引:3       下载免费PDF全文
利用常规观测资料、气象卫星资料和NCEP 1°×1°再分析资料,对0806号台风"风神"登陆后的暴雨强度和落区进行诊断分析。结果表明:台风暴雨主要发生在台风登陆后48 h内,水汽通量散度、垂直速度、绝对涡度的空间分布与强降雨落区有很好的对应关系;冷空气入侵低压环流西部触发不稳定能量释放,对降水起到了增幅作用;从湿焓及湿焓平流场上可以提前12 h做出能量累积和未来强降水落区的预报,高湿焓区是不稳定能量聚集区,而台风压能风对湿焓的平流较为准确地反应了24 h后的强降水落区。  相似文献   

9.
使用NCEP 1°×1°6h再分析格点资料和气象台站实测降水资料,采用WRF中尺度数值模式,对2005年8月14日20时至15日08时发生在十堰市的一次大暴雨过程进行了数值模拟与诊断分析,并着重分析了大暴雨的成因。结果表明:此次大暴雨是在西太平洋副热带高压、中高纬西风槽合理配置以及稳定有利的环流形势下发生的,同时与台风低压活动关系密切;东南风急流将低纬度地区暖湿气流输送到高纬度地区,使台风低压长时间维持,为强降水发生发展提供了水汽来源;低层辐合、高层辐散的配置有利于对流发展和低层水汽向高空输送;螺旋度正值中心的出现对未来3h强降水出现有一定的预示作用,螺旋度正值对暴雨落区有较好的指示性,主要暴雨区出现在螺旋度正值中心前方。  相似文献   

10.
利用NCEP FNL 1 °×1 °的全球再分析资料、FY-2F卫星相当黑体亮温TBB资料、中国自动站与CMORPH降水产品融合的逐时降水资料和多普勒天气雷达资料,重点分析了台风Lekima(2019)发展演变过程中的动热力结构变化和水汽分布特征与浙江极端强降水之间的关系。台风Lekima(2019)近海急剧加强为具有特殊双眼壁结构的超强台风,登陆前后环境水平风垂直切变维持较小值是主导台风高强度维持的重要原因。浙江上空维持着强盛的低层辐合和高层辐散场,高低层辐散风的高强度维持使得次级环流抽吸作用强,低层旋转风和辐散风对水汽、动量和热量的输送和分布起到显著的再分配作用,而中层的辐散风风向和风速变化对螺旋云带中的中尺度对流性降水具有重要的指示意义。登陆前后台风低层东北侧(超)低空急流和中层的辐合线是此次浙江台风暴雨的关键点,业务中需密切关注登陆前后台风东北侧的低空急流的影响区域及其变化。此外,700 hPa上非地转湿Q矢量散度场能较好指示未来1小时短时强降水的落区和强度变化,同时结合垂直速度场和低层水汽辐合场来综合判断台风降水落区的效果更佳。   相似文献   

11.
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.  相似文献   

12.
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  相似文献   

13.
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.  相似文献   

14.
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.  相似文献   

15.
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.  相似文献   

16.
正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography.  相似文献   

17.
《大气和海洋科学快报》2014,7(6):F0003-F0003
AIMS AND SCOPE
Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography. Contributions from all over the world are welcome.  相似文献   

18.
《大气和海洋科学快报》2014,(5):F0003-F0003
AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.  相似文献   

19.
20.
正Aims Scope Advances in Atmospheric Sciences(AAS)is an international journal on the dynamics,physics,and chemistry of the atmosphere and ocean with papers across the full range of the atmospheric sciences,co-published bimonthly by Science Press and Springer.The journal includes Articles,Note and Correspondence,and Letters.Contributions from all over the world are welcome.  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