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1.
1965-2010年7-9月影响中国的热带气旋降水变化趋势分析   总被引:2,自引:2,他引:0  
利用中国气象局逐日台站降水和上海台风研究所最佳台风路径等资料,对1965—2010年夏季(7—9月)影响中国热带气旋降水的变化趋势及影响机制进行了分析。热带气旋降水主要影响中国东部和南部,夏季平均的热带气旋降水由沿海向内陆,由东南向西北递减。自1965年以来,夏季影响中国的热带气旋降水呈现华东及东南沿海增多,华南沿海、海南岛以及西南地区减少的变化趋势。分析发现,一方面夏季西北太平洋副热带高压加强西伸,导致同期中国东部地区上空水汽辐合增强;另一方面热带气旋的引导气流发生变化,使夏季热带气旋盛行路径由南海向东亚沿岸偏移,这两个因子的共同作用致使影响中国的热带气旋降水发生变化。  相似文献   

2.
西行热带气旋影响云南降水的统计特征   总被引:1,自引:1,他引:0  
利用《西北太平洋热带气旋年鉴检索系统》资料、NCEP/NCAR再分析资料、云南日降水资料、西北太平洋热带气旋及降水分布资料,分析了1959—2007年影响云南高原降水的西北太平洋西行热带气旋的气候特征及大尺度环流背景。结果表明:云南几乎每年都受到西行热带气旋的影响,年代际分布总体呈下降趋势,且发生在7—9月最多;热带气旋的影响波及云南大部,影响滇东南较多,以登陆的南海台风为主,其登陆地点主要为海南和广东,且多数进入北部湾;影响路径划分为5类,其中广东登陆类最多、影响最大;各种强度的热带气旋均可造成全省性强降水,其中超强台风的影响最多最大。环流背景表现为:100 hPa南亚高压呈西部型分布时,有利于西北太平洋TC西行影响低纬高原;500 hPa中纬度以纬向环流为主,低纬度热带地区季风低压、热带辐合带(ITCZ)较为活跃,当副热带高压西脊点西伸到云南东北部、或外围反气旋扩大到青藏高原、或副热带高压与青藏高压合并,均有利于TC西行深入内陆。  相似文献   

3.
利用中国地面台站逐日降水资料和中国气象局上海台风研究所整编的热带气旋最佳路径资料研究了1978~2007年影响我国热带气旋降水强度的变化及其对我国东南沿海盛夏降水变化的影响.近30年影响我国东南沿海盛夏的热带气旋降水增加是导致我国东南沿海盛夏降水显著增加的主要原因.仅从热带气旋降水来看,东南沿海和内陆(包括江西、湖南东部和湖北南部)热带气旋降水强度显著增加,而影响热带气旋降水频次略有增加.通过对雨量站与引起降水热带气旋的中心距离的变化分析发现:内陆地区影响热带气旋距离显著下降,近距离热带气旋引起降水的增加,是该区域热带气旋降水强度增加的主要来源;而东南沿海地区近距离热带气旋降水增加不明显,热带气旋降水强度的增加主要由于同距离热带气旋降水强度的增加.热带气旋经过频次的空间的变化结果证实,近30年经过中国沿海的TC个数变化不大,仅福建沿海一带略有增加,而内陆地区则增加明显,且经过该区域时热带气旋移动速度变慢,这均与该区域近距离热带气旋降水的增加一致.  相似文献   

4.
全球变暖背景下我国极端小时降水和极端日降水(EXHP、EXDP)气候态及变化趋势的区域差异明显, 其中热带气旋(TC)的影响尚不明确。利用1975-2018年暖季台站小时降水(P)和热带气旋最佳路径等资料, 采用百分位法定义极端小时降水与极端日降水, 并将总降水(All)客观分为热带气旋降水与非热带气旋(nonTC)降水, 分析热带气旋对中国东部All-P、All-EXHP、All-EXDP的气候态和变化趋势以及极端小时降水随温度变化的影响。主要结论如下: (1) TC-P、TC-EXDP、TC-EXHP占其对应总降水之比均从东南和华南沿海向西北内陆递减, 区域平均而言, TC-P占All-P之比与TC-EXHP占All-EXHP之比均约为11%, 而TC-EXDP占AllEXDP之比为15.8%;(2) 热带气旋和非热带气旋降水变化趋势的空间分布差别较大, 热带气旋对长江流域东部总降水增多的贡献高达49%, 并一定程度上改变了降水趋势的空间分布; (3) TC-EXHP强度与温度的关系在约21℃发生改变, 且截然不同于nonTC-EXHP, 华南、东南沿海TC-EXHP强度随温度的变化率明显低于nonTCEXHP, 造成nonTC-EXHP和All-EXHP随温度变化率不同, 且在东南沿海差异显著。   相似文献   

5.
影响中国降水的热带气旋的气候特征分析   总被引:1,自引:0,他引:1  
分析影响中国降水的热带气旋的气候特征表明,1951—2005年影响热带气旋的频数呈减少趋势,近10年其频数最小;近55年来影响热带气旋中超强台风的频数显著减少;5—11月是热带气旋影响中国的主要时期,7—9月为活跃期。影响热带气旋的源地主要有3个,源地存在明显的年代际和季节变化。影响热带气旋的路径随季节变化有明显的南北移动。影响热带气旋的影响期约为5.6个月,近55年其影响期呈缩短趋势,夏秋季的影响天数较长,冬春季较短。影响热带气旋频次的空间分布呈带状分布,由东南向西北递减,中国台湾省受热带气旋影响最频繁。影响热带气旋的年平均降水量自东南沿海向西北方向逐渐减少。  相似文献   

6.
揭示热带气旋在湖南的降水规律可为热带气旋影响湖南的降水预报提供技术支撑。采用近67 a的热带气旋影响资料,通过统计方法,分析了影响湖南降水的热带气旋特点及环流异常特征。结果表明:7—9月是影响的高峰季节,以在广东、福建沿海登陆的热带气旋对湖南影响次数最多、程度最重,浙江、福建沿海登陆的热带气旋在湖南形成的降水范围最大,热带气旋对湖南影响所产生的降水主要集中在湖南省东南部,热带气旋对湖南产生的强降水范围有增大的趋势,降水强度有增强的趋势。福建和广东沿海登陆对湖南影响的热带气旋的环流特征为南亚高压偏强、偏东、偏北,导致西太平洋副热带高压偏强、偏西、偏北,引导副热带高压南侧的东南气流与南海和菲律宾以东洋面的西南风气流汇合,形成季风槽,中国华南和华东沿海为东南气流,有利于热带气旋在该区域登陆影响中国。只是前者表现为南亚高压位置较后者偏北更明显,西太平洋副热带高压更偏北,季风槽更偏东,导致福建登陆对湖南影响的热带气旋在湖南大部为气旋性环流控制,湖南全省降水偏多;而广东登陆对湖南影响的热带气旋在湖南省东南部为气旋性环流控制,该区域降水偏多。  相似文献   

7.
统计分析了影响三亚市的热带气旋及其降水特征,结果表明:影响三亚市的热带气旋主要集中在6~10月,其中7、10月西北太平洋热带气旋占多数;6、8和9月南海热带气旋略多。就降水而言,在海南岛南部登陆及近海西行的热带气旋,可为三亚市带来最明显的降水:大暴雨以上降水概率达35%,暴雨概率33%;其次是海南岛北部至雷州半岛登陆西行或西北行热带气旋:大暴雨以上降水概率25%,暴雨降水概率25%;第三是海南岛西部登陆及近海北上热带气旋:大暴雨以上降水概率20%,暴雨降水概率27%。  相似文献   

8.
1960—2003年我国热带气旋降水的时空分布特征   总被引:11,自引:0,他引:11       下载免费PDF全文
利用1960—2003年登陆影响我国的热带气旋及其造成的降水资料, 对44年间登陆我国热带气旋降水时空变化特征进行统计分析。结果表明:热带气旋降水与热带气旋登陆活动相一致, 主要发生在5—11月, 其中7—9月为盛期; 热带气旋降水量以及热带气旋暴雨日数的分布是自南向北、从沿海到内陆迅速减小, 最大出现在海南和华南、东南沿海地区; 热带气旋强度越强其最大过程降水一般也就越大, 但是两者并非严格的线性关系; 1960年以来, 我国受热带气旋影响的绝大部分地区热带气旋降水呈波动下降的趋势。  相似文献   

9.
对1950-2010年影响浙西南的热带气旋降水的移动路径、影响时间、强度、西风槽、西南季风以及地形等主要因子进行分析.结果表明:在玉环南-厦门一带登陆的热带气旋是影响浙西南的热带气旋中正面影响浙西南的类型,影响时间和最大平均过程降雨量、最大过程雨量存在着正相关关系,热带气旋的强度与其降水强度相关性较高.西风槽的存在不仅影响着热带气旋路径的变化,其槽前的西南气流也为热带气旋降水提供充足的水汽,同时槽后冷空气与热带气旋相结合,使丽水的西北部出现另一个强降水中心.西南季风为登陆后的热带气旋提供了水汽条件,使降水得到增幅.浙西南独特的地形,使在厦门以北到玉环以南登陆后西进、西北行或西北行后在120°E以西转向北上的热带气旋迎着山脉进入,降水强度明显加强.  相似文献   

10.
利用中国气象局发布的1949—2007年共59年的热带气旋年鉴资料,对西北太平洋热带气旋路径进行分析,合并归纳得到热带气旋主要的三种路径,分别为西行、西北行和转向路径,研究发现三种路径主要是8年以下的年际变化。西行路径的热带气旋与海温的关系不明显,西北路径的热带气旋和转向路径热带气旋与局地海温的变化有相反的相关关系。当西北太平洋局地海洋暖的时候有利于西北路径热带气旋发生,局地海温冷时热带气旋多转向,且局地海温在热带气旋发生前半年左右就开始有持续的影响, 这种影响不仅仅存在于海洋表层,整个温跃层以上次表层海温的热状态对热带气旋路径均有显著关系。这可能是由于西北太平洋海温持续异常对其上空的大气环流产生影响,进而影响热带气旋路径。通过研究还发现不同路径热带气旋对海洋的降温作用有显著差异。  相似文献   

11.
The Dynamical-Statistical-Analog Ensemble Forecast model for landfalling tropical cyclones (TCs) precipitation (DSAEF_LTP) utilises an operational numerical weather prediction (NWP) model for the forecast track, while the precipitation forecast is obtained by finding analog cyclones, and making a precipitation forecast from an ensemble of the analogs. This study addresses TCs that occurred from 2004 to 2019 in Southeast China with 47 TCs as training samples and 18 TCs for independent forecast experiments. Experiments use four model versions. The control experiment DSAEF_LTP_1 includes three factors including TC track, landfall season, and TC intensity to determine analogs. Versions DSAEF_LTP_2, DSAEF_LTP_3, and DSAEF_LTP_4 respectively integrate improved similarity region, improved ensemble method, and improvements in both parameters. Results show that the DSAEF_LTP model with new values of similarity region and ensemble method (DSAEF_LTP_4) performs best in the simulation experiment, while the DSAEF_LTP model with new values only of ensemble method (DSAEF_LTP_3) performs best in the forecast experiment. The reason for the difference between simulation (training sample) and forecast (independent sample) may be that the proportion of TC with typical tracks (southeast to northwest movement or landfall over Southeast China) has changed significantly between samples. Forecast performance is compared with that of three global dynamical models (ECMWF, GRAPES, and GFS) and a regional dynamical model (SMS-WARMS). The DSAEF_LTP model performs better than the dynamical models and tends to produce more false alarms in accumulated forecast precipitation above 250 mm and 100 mm. Compared with TCs without heavy precipitation or typical tracks, TCs with these characteristics are better forecasted by the DSAEF_LTP model.  相似文献   

12.
In this study, the nonlinear local Lyapunov exponent (NLLE) approach was used to quantitatively determine the predictability limit of tropical cyclone (TC) tracks based on observed TC track data obtained from the Joint Typhoon Warning Center. The results show that the predictability limit of all TC tracks over the whole western North Pacific (WNP) basin is about 102 h, and the average lifetime of all TC tracks is about 174 h. The predictability limits of the TC tracks for short-, medium-, and long-lived TCs are approximately 72 h, 120 h, and 132 h, respectively. The predictability limit of the TC tracks depends on the TC genesis location, lifetime, and intensity, and further analysis indicated that these three metrics are closely related. The more intense and longer-lived TCs tend to be generated on the eastern side of the WNP (EWNP), whereas the weaker and shorter-lived TCs tend to form in the west of the WNP (WWNP) and the South China Sea (SCS). The relatively stronger and longer-lived TCs, which are generated mainly in the EWNP, have a longer travel time before they curve northeastwards and hence tend to be more predictable than the relatively weaker and shorter-lived TCs that form in the WWNP region and SCS. Furthermore, the results show that the predictability limit of the TC tracks obtained from the best-track data may be underestimated due to the relatively short observational records currently available. Further work is needed, employing a numerical model to assess the predictability of TC tracks.  相似文献   

13.
The possible changes of tropical cyclone(TC) tracks and their influence on the future basin-wide intensity of TCs over the western North Pacific(WNP) are examined based on the projected large-scale environments derived from a selection of CMIP5(Coupled Model Intercomparison Project Phase 5) models. Specific attention is paid to the performance of the CMIP5 climate models in simulating the large-scale environment for TC development over the WNP. A downscaling system including individual models for simulating the TC track and intensity is used to select the CMIP5 models and to simulate the TC activity in the future.The assessment of the future track and intensity changes of TCs is based on the projected large-scale environment in the21 st century from a selection of nine CMIP5 climate models under the Representative Concentration Pathway 4.5(RCP4.5)scenario. Due to changes in mean steering flows, the influence of TCs over the South China Sea area is projected to decrease,with an increasing number of TCs taking a northwestward track. Changes in prevailing tracks and their contribution to basin-wide intensity change show considerable inter-model variability. The influences of changes in prevailing track make a marked contribution to TC intensity change in some models, tending to counteract the effect of SST warming. This study suggests that attention should be paid to the simulated large-scale environment when assessing the future changes in regional TC activity based on climate models. In addition, the change in prevailing tracks should be considered when assessing future TC intensity change.  相似文献   

14.
This study investigates the tropical cyclone (TC) activity associated with the two leading modes of interannual variability in synoptic disturbances. Both leading modes are found to be related to a dipole pattern of TC occurrence between the subtropical western North Pacific and the South China Sea. Therefore, in this study we performed composite analyses on TC tracks and landfalls, based on the cases of combined modes, to highlight the differences. The composite results indicate that these cases are characterized by distinct features of TC tracks and landfalls: more TCs tend to take recurving tracks and attack eastern China, Korea and Japan, or more TCs exhibit straight-moving tracks and hit the Philippines, Vietnam and southern China. Further analyses suggest that these distinctions in the TC prevailing tracks and landfalls can be attributed to the differences in large-scale steering flow and TC genesis location.  相似文献   

15.
The frequency of tropical cyclones (TCs) in Taiwan during June to October (JJASO) is found to have a strong negative correlation with the Pacific/North American (PNA) pattern in the preceding April. In the negative PNA phase, the anomalous cyclonic and the anomalous anticyclonic circulations are intensified at low latitudes and midlatitudes from East Asia to the North Atlantic, respectively, from April to JJASO. Particularly in East Asia, the anomalous southeasterly that converges between the anomalous anticyclone to the east of Japan and the anomalous cyclone to the east of Taiwan plays a decisive role in moving TCs not only to Taiwan, but also to the midlatitude coastal regions of East Asia as a result of the steering flow. In addition, a southwestward extension of a western North Pacific (WNP) high during the positive PNA phase also contributed to a frequent movement of TCs to southern China without traveling north toward the midlatitude regions of East Asia. Due to the difference in the typical tracks of the TC in the WNP according to the PNA phase, the intensity of the TC in the negative PNA phase is stronger than that in the positive PNA phase.  相似文献   

16.
浙江省热带气旋倒槽暴雨气候特征研究   总被引:2,自引:1,他引:2  
基于近40年热带气旋(Tropical Cyclone,简称TC)日降水和最佳路径等观测资料,采用数理统计、天气学分析等方法对浙江省TC倒槽暴雨分布特征及其与TC的相互关系进行研究。(1)浙江省年均会发生1.8次TC倒槽暴雨,占TC暴雨总数约4成,是浙江省台风暴雨中的一种重要形式。每年8—9月是TC倒槽暴雨高发期,暴雨主要发生在宁波南部至温州一带沿海地区,暴雨中心多位于台州和温州沿海。(2)引发浙江省TC倒槽暴雨的热带气旋多在粤东至浙南登陆之后北上转向或西北行,登陆当天最易发生暴雨且雨强最强。暴雨发生时,福建中部沿海经海峡至台湾东北部一带是TC高频活动区。(3)距TC中心2.5~5.0纬距之间和TC东北偏北象限是倒槽暴雨中心的高频落区;较强暴雨发生在TC强度为热带低压时,且强中心易位于TC东北偏东象限,极端强降水发生主要与热带低压和副高等相互作用形成的偏东暖湿急流、TC倒槽强辐合和TC东北偏东象限中尺度深对流系统频繁活动有关。   相似文献   

17.
近30a登陆我国的西北太平洋热带气旋活动的时空变化特征   总被引:5,自引:0,他引:5  
采用1979—2006年美国联合台风预警中心的热带气旋(tropical cyclone,TC)资料,对登陆我国的西北太平洋(Northwest Pacific,NWP)TC强度、路径、登陆地点的气候特征、年际变化及其演变趋势进行了统计分析。结果表明:登陆我国的TC以发源于西北太平洋的西侧以及南海中、北部为主,并且在NWP西南区生成的登陆我国的TC基本以西北移动路径为主,而在NWP西北侧和南海生成的登陆我国的TC多为打转或移动路径转向;登陆我国的TC不仅在强度上具有明显增强的变化规律,而且在登陆位置上存在向东北方向偏移的演变趋势,使得登陆厦门以北区域的TC数量具有增加的趋势,而登陆厦门以南的TC数量存在减少的趋势;登陆我国的NWP TC移动路径存在年代际的演变特征。  相似文献   

18.
In order to provide an operational reference for tropical cyclone precipitation forecast,this study investigates the spatial distributions of precipitation associated with landfalling tropical cyclones(TCs) affecting China using Geostationary Meteorological Satellite 5(GMS5)-TBB dataset.All named TCs formed over the western North Pacific that made direct landfall over China during the period 2001-2009 are included in this study.Based on the GMS5-TBB data,this paper reveals that in general there are four types of distribution of precipitation related to landfalling TCs affecting China.(a) the South-West Type in which there is a precipitation maximum to the southwestern quadrant of TC;(b) the Symmetrical South Type in which the rainfall is more pronounced to the south side of TC in the inner core while there is a symmetrical rainfall distribution in the outer band region;(c) the South Type,in which the rainfall maxima is more pronounced to the south of TC;and(d) the North Type,in which the rainfall maxima is more pronounced to the north of TC.Analyses of the relationship between precipitation distributions and intensity of landfalling TCs show that for intensifying TCs,both the maximum and the coverage area of the precipitation in TCs increase with the increase of TC intensity over northern Jiangsu province and southern Taiwan Strait,while decreasing over Beibu Gulf and the sea area of Changjiang River estuary.For all TCs,the center of the torrential rain in TC shifts toward the TC center as the intensity of TC increases.This finding is consistent with many previous studies.The possible influences of storm motion and vertical wind shear on the observed precipitation asymmetries are also examined.Results show that the environmental vertical wind shear is an important factor contributing to the large downshear rainfall asymmetry,especially when a TC makes landfall on the south and east China coasts.These results are also consistent with previous observational and numerical studies.  相似文献   

19.
The paper shows the statistical analysis of cyclone tracks that have influence on the western Antarcticregion.Based on the conditions of cyclone movement and its impact upon the weather,cyclone tracks areclassified into three categories,i.e.,the track moving towards the northern tip of the Antarctic Peninsula,southern track,and northern track.Moreover,in this paper,the frequency distributions of cyclone tracks,the major tracks with higherfrequencies,the original region of Antarctic cyclones and the seasonal features of Antarctic cyclones have beenanalyzed.The results show that there are higher cyclogeneses in summer,whereas relatively fewer cycloge-neses in winter,and cyclone numbers in transitional seasons are close to the climatological average.Theanalysis also shows that the moving velocity of Antarctic cyclone is about the same in winter and summer.It obviously speed up during the transitional season.  相似文献   

20.
使用中国气象局热带气旋资料中心的热带气旋最佳路径数据集和NCEP/NCAR再分析资料提供的月平均数据,对北上影响山东的热带气旋(tropical cyclone,TC)及其造成的极端降水进行统计分析,并揭示了有利于 TC北移影响山东的大气环流特征。结果表明:影响山东的 TC主要出现 于 6—9 月,其中盛夏时节(7、8 月)TC对山东影响最大;TC影响山东时,强度主要为台风及以下等 级,或已发生变性;TC会引发山东极端降水事件,TC极端降水多出现在夏秋季(7—9 月),其中8月的占比最大,9月次之,TC降水在极端降水事件中的占比约为 10%,但年际变化大,有些年份占比达60%以上,特别是1990 年以来 TC对极端降水的贡献显著增强;影响山东的 TC主要生成于西 北太平洋,多为转向型路径;当500 hPa位势高度异常场呈太平洋一日本遥相关型的正位相时,TC更易北上影响山东,此时西北太平洋副热带高压位置偏北,其外围气流会引导TC北上转向,对华东地区造成影响;850 hPa上,南海至西北太平洋存在异常气旋式环流,对流活跃,夏季风环流和季风槽加强,有利于TC的生成和发展,同时,华东、华南上空有异常上升运动,涡度增大,垂直风切变减小,水汽充沛,TC登陆后强度能得到较好的维持。  相似文献   

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