共查询到20条相似文献，搜索用时 554 毫秒
1.
2017年春季（3—5月）大气环流特征为：北半球极涡呈单极型分布,主体位于北冰洋上空,中高纬西风带呈5波型分布。3月,地面冷高压偏强,冷空气活动频繁。4月,环流由纬向型向经向型逐渐调整,冷空气势力减弱。5月,东北气旋明显加强,冷暖势力相当,入海气旋增多。春季,我国近海海域主要有16次8级以上大风过程,其中冷空气大风过程有7次,冷空气和温带气旋共同影响的大风过程有1次,入海温带气旋过程有4次,东北冷涡影响大风过程有3次,强对流导致雷暴大风过程1次;且有8次明显的浪高在2 m以上的大浪过程。春季共有6次比较明显的海雾过程,分别为3月1次、4月2次、5月3次。西北太平洋和南海共生成1个台风“梅花”和1个热带低压,其他各大洋共有热带气旋15个,分别为大西洋1个、东太平洋1个、南太平洋5个、南印度洋6个、北印度洋2个。 相似文献
2.
本文利用ERA5 1979-2019年逐月大气再分析资料计算南北印度洋热带气旋生成指数，并和IBTrACS观测数据进行比较，探讨用热带气旋生成指数研究南北印度洋热带气旋变化特征的适用性.研究发现热带气旋生成指数能较好地刻画南北印度洋热带气旋的空间分布特征、北印度洋热带气旋个数月变化的双峰结构，以及南印度洋比北印度洋热带气旋发生概率高等特征.最新的IBTrACS v4.0观测资料显示，40年来北印度洋热带气旋每年总生成个数平均每10年增加1.3个，频数的增加主要来源于热带低压和热带风暴，而南印度洋热带气旋每年总生成个数每10年减少2.8个.热带气旋生成指数能很好地描述北印度洋热带气旋生成个数的上升趋势，但对南印度洋热带气旋生成个数趋势的刻画与观测不一致，可能原因需要进一步深入研究. 相似文献
3.
印度洋海盆增暖及ENSO对西北太平洋热带气旋活动的影响 总被引：2，自引：1，他引：1
本文主要分析1950～2010年间印度洋海盆增暖和西北太平洋热带气旋(TC)活动的关系, 并与ENSO对西北太平洋TC活动的影响相比较, 结果表明:印度洋海盆异常增暖与西北太平洋地区总TC生成年频数尤其是弱TC相关较好, 印度洋海盆异常增暖, 西北太平洋地区为异常的反气旋, 对流抑制, 降水偏少, 不利于TC的生成, 反之亦然。而ENSO对西北太平洋热带气旋的影响, 主要体现在对强TC的年生成频数的影响, El Ni?o 发展年, 季风槽加深东伸, TC生成位置偏东, 由于TC在海洋上的生命史较长, TC的平均强度偏强, 因而强TC年生成频数偏多;La Ni?a发展年, 季风槽较浅, TC生成位置偏西, TC的平均强度偏弱, 强TC年生成频数偏少。但是ENSO指数与强TC年频数的相关有着年代际的变化, 在1950～1969年和1990～2009年间, ENSO指数和强TC年频数相关很好, 分别为0.532和0.687, 而在1970～1989这二十年间, 两者相关很弱, 只有0.081。 相似文献
4.
南海-西北太平洋地区大气准双周振荡对TC生成的调节作用 总被引：3，自引：1，他引：2
通过对南海-西北太平洋地区大气10～20 d准双周振荡(QBWO)不同位相的划分(A～D),研究了QBWO对南海-西北太平洋海域热带气旋(TC)生成的调节作用。将TC分为强热带风暴及以下级别(TS)和台风及以上级别(TY),并将QBWO分为干湿位相,发现南海海域生成的TS(TY)在干湿位相的比与西北太平洋海域生成的TS(TY)在干湿位相的比相等,这表明QBWO对TS(TY)生成的调节作用在南海和西太平洋地区可能相同。从A位相到C位相,南海和西北太平洋地区TC的生成频数均逐渐增多,D位相时期,TC生成最少,多数TC发生在QBWO的对流活动湿位相,少数TC发生在干位相。南海-西北太平洋海域TC的生成受到QBWO的明显调制。从位相A到位相C,低频对流和低频风场逐渐向西北方向移动,低频对流强度持续加强,低频风场逐渐由异常西风-东风-西风转为异常东风-西风-东风配置,西北太平洋地区季风槽加强,使得TC生成频数逐渐增多。此外,在QBWO活跃位相,非绝热加热增强和纬向风垂直切变减弱也有利于TC的生成。 相似文献
5.
Tropical cyclones in enhanced resolution CMIP5 experiments 总被引：1，自引：0，他引：1
This study investigates the possible effects of global warming on tropical cyclone (TC) activity. The study is conducted using the coupled ocean–atmosphere global climate model EC-Earth configured at a relatively high resolution (T159 with 62 vertical levels), which is integrated following the CMIP5 protocol. By considering the late twentieth century (1979–2009) in the historical simulation and the twenty-first century end (2070–2100) in the RCP4.5 and RCP8.5 scenarios, significant future annual mean frequency decreases are found globally and in both hemispheres, accompanied by significant mean lifetime decreases and significant intensity increases, the latter being found through several different measures (but with caveats). In addition, the relatively novel aspect of simulating TCs of the past (1900–1930) is studied to further assess the robustness of the climate change results. These results suggest that TCs in the early twentieth century were more frequent in the southern hemisphere and dissipated more energy in the southern hemisphere and the South Indian Ocean. Although some model biases are present and the coarse model resolution prevents intense TCs in being simulated, reasonable TC simulation skill for other metrics (e.g., TC genesis, frequency of occurrence) is found when validated against present day observations. Thus the model displays an acceptable ability to connect TC climatology with the larger scale circulation. 相似文献
6.
A probabilistic clustering method is used to describe various aspects of tropical cyclone (TC) tracks in the Southern Hemisphere, for the period 1969–2008. A total of 7 clusters are examined: three in the South Indian Ocean, three in the Australian Region, and one in the South Pacific Ocean. Large-scale environmental variables related to TC genesis in each cluster are explored, including sea surface temperature, low-level relative vorticity, deep-layer vertical wind shear, outgoing longwave radiation, El Niño-Southern Oscillation (ENSO) and the Madden-Julian Oscillation (MJO). Composite maps, constructed 2 days prior to genesis, show some of these to be significant precursors to TC formation—most prominently, westerly wind anomalies equatorward of the main development regions. Clusters are also evaluated with respect to their genesis location, seasonality, mean peak intensity, track duration, landfall location, and intensity at landfall. ENSO is found to play a significant role in modulating annual frequency and mean genesis location in three of the seven clusters (two in the South Indian Ocean and one in the Pacific). The ENSO-modulating effect on genesis frequency is caused primarily by changes in low-level zonal flow between the equator and 10°S, and associated relative vorticity changes in the main development regions. ENSO also has a significant effect on mean genesis location in three clusters, with TCs forming further equatorward (poleward) during El Niño (La Niña) in addition to large shifts in mean longitude. The MJO has a strong influence on TC genesis in all clusters, though the amount modulation is found to be sensitive to the definition of the MJO. 相似文献
7.
运用美国NOAA-16极轨气象卫星高分辨率的AMSU探测资料和邻近时刻的NCEP数值预报资料，对2002年6月10日至9月10日发生在西北太平洋上的12个热带气旋生命史中的部分时次作了热力结构分析。发现AMSU资料不仅能够敏感地探测到不同强度热带气旋的多种地球物理参数，并且通过对这些参数的进一步处理，能够展示出它们各自重要的热力结构特征；由不同强度热带气旋对流层中上层暖异常区的高度、强度、范围和形状的差异以及其对流层上层温度负距平的高度、大小和分布不同，结合相应的湿度场结构特征，可以探寻其热力结构与气压变化之间的内在联系，通过这种热力结构的变化趋势可以进一步揭示出热带气旋未来的强度变化。 相似文献
8.
每年西北太平洋热带气旋(TC)发生的次数、移动路径和强度都是随机的,我国东南沿海各地每年受TC影响的次数便构成了某种离散型分布,而TC影响下的最大风速则可以构成某种连续型分布。该文采用上海台风研究所提供的1961—2006年TC中心风速和TC影响期间各台站大风资料,利用泊松-耿贝尔联合极值风速计算方法,计算了沿海各气象站TC影响大风的多年一遇风工程设计最大风速。结果表明:当观测资料样本序列较短,特别是像TC这样随机性很强的天气事件,泊松-耿贝尔联合极值算法更具优势;我国沿海地区有53.9%的台站50年一遇最大风速在25 m/s以下,最大风速大于42.5 m/s以上的台站分布于浙江的大陈岛、嵊山、石浦,福建的北茭和台山,广东的遮浪、上川岛和海南的西沙岛,在这些地区进行风电开发风险较大,应引起足够重视。 相似文献
9.
Matthew Ranson Carolyn Kousky Matthias Ruth Lesley Jantarasami Allison Crimmins Lisa Tarquinio 《Climatic change》2014,127(2):227-241
This paper provides the first quantitative synthesis of the rapidly growing literature on future tropical and extratropical cyclone damages under climate change. We estimate a probability distribution for the predicted impact of changes in global surface air temperatures on future storm damages, using an ensemble of 478 estimates of the temperature-damage relationship from nineteen studies. Our analysis produces three main empirical results. First, we find strong but not conclusive support for the hypothesis that climate change will cause damages from tropical cyclones and wind storms to increase, with most models predicting higher future storm damages due to climate change. Second, there is substantial variation in projected changes in losses across regions. Potential changes in damages are greatest in the North Atlantic basin, where the multi-model average predicts that a 2.5 °C increase in global surface air temperature would cause hurricane damages to increase by 63 %. The ensemble predictions for Western North Pacific tropical cyclones and European wind storms (extratropical cyclones) are +28 % and +23 %, respectively. Finally, our analysis shows that existing models of storm damages under climate change generate a wide range of predictions, ranging from moderate decreases to very large increases in losses. 相似文献
10.
Spatial and Temporal Variations of Tropical Cyclones at Different Intensity Scales over the Western North Pacific from 1945 to 2005 
下载免费PDF全文
下载免费PDF全文 The tropical cyclone （TC） track data provided by the Joint Typhoon Warning Center （JTWC） of the U.S. Navy over the western North Pacific （including the South China Sea） from 1945 to 2005 are employed to analyze the temporal and spatial variations of TCs of different intensity scales. Most of the TCs occurred between 15° and 25°N, from the northern part of the South China Sea to the eastern part of the Bashi Channel until near 140°E. Most of the severe and super typhoons occurred over waters from the eastern part of the Bashi Channel to about 140°E. The TCs in a weakening or steady state take up a weak majority in the area west of 123°E and north of 20°N; those in an intensifying or steady state are mostly found in the area east of 123°E and south of 20°N. For severe tropical storms, typhoons, severe typhoons, and super typhoons, their average decaying rates are all greater than the respective average growing rates; for tropical storms, however, the average decaying rate is smaller than the average growing rate. Generally speaking, the stronger the TC, the faster the intensification （weakening） is. The percentage of weak TCs is higher in June to August while that of strong TCs is higher in September to November. There are annual, interannual, and interdecadal variations in the observed number （every 6 h） and frequency of TCs at different intensity scales. As far as the long-term trend is concerned, the frequency and observed number of tropical storms have a significant linear increase, but the averaged intensity and number of TCs of other intensity categories do not exhibit such a significant linear trend. In E1 Nifio years, the number and percentage of super typhoons are significantly higher, while the total number of tropical storms, severe tropical storms, typhoons, and severe typhoons is significantly lower, and the mean intensity of TCs is prominently stronger; in La Nifia years, however, the opposite comes true. 相似文献
11.
为了验证50 km分辨率的SNU-AGCM模式(Seoul National University Atmospheric General Circulation Model)模拟TC活动的能力, 利用Hadley中心月平均海温资料驱动模式, 模拟了1980—2009年全球热带气旋的活动特征。与观测资料对比分析, 两组利用不同对流参数化方案的试验, 都能够模拟与观测类似的TC结构以及全球TC活动的主要特点, 包括全球生成总频数、各海区路径分布和TC活动的季节变化。但是各个海域TC生成的年平均频数与观测还存在明显差异。模式中西北太平洋和南太平洋两组试验平均的TC频数较观测分别偏多21.5%和31.3%;而北大西洋、南北印度洋分别偏少11.4%、41.1%和50%。模拟的东北太平洋TC比观测少了将近88%, 而观测中TC极少的南大西洋在两组试验中平均每年却有1.5个TC生成。模拟的TC频数较观测的差异主要与模拟的北印度洋季风、西北太平洋季风槽、垂直风切变、850 hPa相对涡度与观测的差异有关。 相似文献
12.
Although previous studies reported upward trends in the basin-wide average lifetime, annual frequency, proportion of intense hurricanes and annual accumulated power dissipation index of Atlantic tropical cyclones (TCs) over the past 30?years, the basin-wide intensity did not increase significantly with the rising sea surface temperature (SST). Observational analysis and numerical simulation conducted in this study suggest that Sahel rainfall is the key to understanding of the long-term change of Atlantic TC intensity. The long-term changes of the basin-wide TC intensity are generally associated with variations in Sahara air layer (SAL) activity and vertical wind shear in the main development region (MDR), both of which are highly correlated with Sahel rainfall. The drying Sahel corresponds to an equatorward shift in the African easterly jet and African easterly wave activity, introducing the SAL to lower latitudes and increasing the MDR vertical wind shear. As a result, Atlantic TCs are more vulnerable to the suppressing effects of the SAL and vertical wind shear. Since the SST warming, especially in the tropical Indian Ocean, is a dominant factor for the Sahel drying that occurred over the past 30?years, it is suggested that the remote effect of SST warming is important for the long-term change of Atlantic TC intensity. Although influence of the AMO warm phase that started in the early 1990s alone can provide a favorable condition for TC intensification, its influence may have been offset by the influence of the ongoing SST warming, particularly in the Indian Ocean. As a result, there was no significant trend observed in the basin-wide average and peak intensity of Atlantic TCs. 相似文献
13.
Based on high-resolution reanalysis data of the European Centre for Medium-Range Weather Forecasts, several samples of tropical cyclones (TCs), including tropical storms, severe tropical storms, and typhoons, in the South China Sea (SCS), were selected for composite analysis. The structures of these three types of vortices and their differences with ‘bogus’ vortices were investigated. Results showed that TCs in the SCS have characteristics that are distinctly different from vortices formed by the bogussing scheme used at Guangzhou Institute of Tropical and Marine Meteorology, such as no anticyclone in higher layers, strong convergence concentrated at the bottom of the troposphere, and strong divergence happening in higher layers instead of at 400 hPa. These differences provide clues for constructing a more realistic structure for TCs in the SCS. It was also found that the three types of vortices have some structural features in common. The area with high wind speed is fan-shaped in the north around the TC center, the maximum vorticity appears at 925 hPa, the strongest convergence appears at 1000 hPa, and strong divergence is located from 150 to 100 hPa. On the contrary, significant differences between them were revealed. The warm cores in tropical storms, severe tropical storms, and typhoons are located at 600–400 hPa, 400−300 hPa, and 400−250 hPa, respectively. Among the three types of TCs, the bogus vortex of tropical storms has the largest errors in structure and suffers the largest errors in track forecasts. However, typhoons have the largest errors in the forecast of intensity. This may be related to the great impacts of ocean on TC intensity. 相似文献
14.
研究热带气旋影响下广东省深圳地区的闪电特征及规律。利用2012—2019年西北太平洋热带气旋历史数据,筛选出2012—2019年距离深圳市国家气象基本站1 000 km内的热带气旋,按热带气旋强度等级进行分组。并利用同时期深圳地区闪电、温度观测数据,研究不同等级热带气旋在不同距离、方位角情况下,深圳地区的闪电特征。发现热带气旋影响下深圳地区闪电年际差异很大,一年中7月和8月深圳地区闪电活动最活跃。热带气旋对深圳地区闪电活动影响大的距离大多为400 km以外,即深圳处于热带气旋的外围雨带。总体上在台风季,TD、TS、STS较易引发深圳地区的闪电,尤其是当TS位于福建地区,距离深圳400~600 km时,极易给深圳地区带来闪电影响。研究结果可为深圳地区的防台减灾工作提供科技参考。 相似文献
15.
India’s polar orbiting satellite Oceansat-2 was launched by Indian Space Research Organisation on 23 September 2009 for applications pertaining to ocean studies and meteorology. The wind scatterometer aboard the Oceansat-2 satellite (OSCAT) covers 90 % of the global ocean within a day. In the present study, the OSCAT-derived wind fields are used to predict the genesis of tropical cyclones over the North Indian Ocean using a new technique based on data mining. The technique is based on the premise that there is some degree of similarity in low-level wind circulation among developing systems, which can be utilized to distinguish them from non-developing systems. This similarity of wind patterns has been measured quantitatively by computing the “matching index” between the given wind pattern and the wind signatures of developing systems available from the past observations. The algorithm is used to predict the tropical cyclogenesis of cyclones formed during the period 2009–11 in the North Indian Ocean. All the tropical disturbances that developed into tropical storms during the above period (2009–11), viz. PHYAN, WARD, LAILA, BANDU, PHET, GIRI, JAL, KEILA, FOUR, FIVE and THANE were predicted using the proposed method. The mean prediction lead time of the technique was 63 h. Probability of detection of the technique was 100 %, while the false alarm ratio was 2 %. 相似文献
16.
根据台风年鉴资料统计分析了南海热带气旋(指在南海海域生成的热带气旋、又称南海灾害性土台风、下面简称TC)，TC数量逐年逐月变化较大，除3月没有TC出现外，其余月份均有TC出现，年生成最多的TC为11个，最少的为1个，年平均6．2个，月生成最多的TC为5个，最少的为零个。TC登陆最多的是8月，12月至翌年4月没有TC登陆中国大陆，登陆范围主要在汕头至海南岛之间。TC的持久期一般均在4—7天，最长亦有19天。南海上生成的TC只有15％能够加强为台风，均集中在水深超过150米的海域。南海是TC发生频繁、数量较多的海域。 相似文献
17.
2013年影响海南热带气旋异常偏多成因分析 总被引：1，自引：0，他引：1
利用1983-2013年热带气旋年鉴、NCEP/NCAR全球再分析格点资料及国家气候中心74项环流指数资料等,统计分析了近30a西太平洋以及影响海南的热带气旋特征,并对2013年西太平洋热带气旋偏多、秋台集中以及影响海南热带气旋偏多的异常特征从天气学等方面进行了分析。结果表明,副热带高压、夏季风、越赤道气流、海表温度及北半球极涡等环流系统异常,是形成2013年西太平洋热带气旋偏多的主要原因。南半球冷高压发展激发越赤道气流增强,引发赤道西风加强;副热带高压偏北偏弱,夏季风增强,副高南侧热带辐合带对流活跃;南海-西太平洋海表温度偏高;极涡偏弱偏西,经向环流偏弱,中纬度冷空气活动不频繁等。多条件共同作用,有利于西太平洋热带气旋的生成。另外,副高呈东西向分布,南海海表温度偏高使得南海及菲律宾以东生成的热带气旋易于向西移动影响海南。 相似文献
18.
Ramesh Kumar Yadav 《Climate Dynamics》2013,41(1):105-116
This study examines the emerging role of Indian Ocean sea surface temperature (SST) on the inter-annual variability (IAV) of Indian north-east monsoon rainfall (NEMR). The IAV of NEMR is associated with the warm SST anomaly over east Bay-of-Bengal (BoB) (88.5oE–98.5oE; 8.5oN–15.5oN) and cool SST anomaly over east equatorial Indian Ocean (80.5oE–103.5oE; 6.5oS–3.5oN). The gradient of SST between these boxes (i.e. northern box minus southern box) shows strong and robust association with the Indian NEMR variability in the recent decades. For establishing the teleconnections, SST, mean sea level pressure, North Indian Ocean tropical storm track, and circulation data have been used. The study reveals that during the positive SST gradient years, the inter-tropical convergence zone (ITCZ) shifts northwards over the East Indian Ocean. The tropical depressions, storms and cyclones formed in the North Indian Ocean moves more zonally and strike the southern peninsular India and hence excess NEMR. While, during the negative SST gradient years, the ITCZ shifts southwards over the Indian Ocean. The tropical depressions, storms and cyclones formed in the North Indian Ocean moves more northwestward direction and after crossing 15oN latitude re-curve to north-east direction towards head BoB and misses southern peninsular India and hence, deficient NEMR. 相似文献
19.
The southwest Indian Ocean (5°–20°S, 45°–70°E) experiences frequent tropical cyclones (TC) in the December–March season. In this paper, TC composite and case-study structure and impacts are studied using daily oceanic and atmospheric fields from model-reanalyzed data, satellite remote sensing, and in situ station data. The TC environment is characterized according to mean track: W-, SW-, and S-moving. Case studies of TC are investigated, and impacts such as storm surge and rainfall are evaluated through comparison of ‘real’ and ‘model’ datasets in the period since 1998. The northern sub-tropical jet stream is found to influence the intensity and track of TC in the SWIO. The composite SW-moving TC maintains intensity compared to the other tracks, which decline in strength. Variability is found in TC rainfall distribution, with maximum intensity in a spiral band 1–2 days before peak intensity, based on satellite estimates. There is a re-establishment of equatorial rainfall in the case of southward moving TC after peak intensity. The W-moving TC lacks monsoon inflow compared to the recurving TC. Comparisons are made between low-resolution model-estimated rainfall, various satellite products, and station-observed rainfall. TC spiral rain-band intensity is found to be similar to that reported elsewhere in the tropics, based on a limited sample of TRMM PR data and station reports. The satellite-derived daily rainfall out-performs NCEP reanalysis due to low resolution and underestimated diabatic heating. Similarly, the circulation within a 300-km radius of the composite TC is poorly resolved by re-analysis; winds, swells, and storm surges are too low by a factor of two compared with QuikSCAT and in situ measurements. This work will offer ways to adjust operational forecasts of winds, rainfall, and swells around tropical cyclones, so that TC risk and impacts are better managed. 相似文献
20.
登陆中国不同强度热带气旋的变化特征 总被引：4，自引：3，他引：1
根据《热带气旋等级》国家标准(2006),将热带气旋(TC)划分为热带低压(TD)、热带风暴(TS)、强热带风暴(STS)、台风(TY)、强台风(STY)、超强台风(SSTY)6个等级,利用中国气象局整编的1949—2006年共58年的《台风年鉴》和《热带气旋年鉴》资料,分析了登陆中国大陆、海南和台湾不同强度TC变化特征。结果表明：(1) 不同强度登陆TC频数存在年际和年代际变化,在长期趋势上,TD、TS登陆频数呈现显著的线性递减趋势,STY登陆频数呈现显著增加趋势。(2) 登陆TD、TS、STS存在6—8年的周期变化,TY具有准16年的周期变化。(3) 登陆TD、TS主要生成于南海东北部海面,登陆TY、STY、SSTY多生成于巴士海峡东南部海面和菲律宾以东洋面。(4) 在年代际变化上,南海生成的登陆TD、TS频数有减少趋势,TY、STY有增多趋势。 相似文献