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1.
登陆台风短时定量降水预报方法初探 总被引：2，自引：2，他引：2
利用登陆台风的GMS-5 IR1 TBB资料及地面自动站逐时雨量资料,初步建立了适用于登陆台风的定量降水估计(QPE)方法,基于QPE结果,采用外推法,初步实现了对登陆台风未来0~3 h的短时定量降水预报(QPF)。应用于0104号登陆台风“尤特”和0414号登陆台风“云娜”两个例表明:对单站逐小时雨量定量预报而言,如果50%相对误差可以接受,01、、23、h的QPF准确率分别达20%~70%、30%~80%、30%~70%、20%~60%;对于单站过程雨量定量预报而言,如果50%相对误差可以接受,0、1、2、3 h的QPF准确率基本都达60%~80%;对未来0~3 h的面雨量也具有一定定量预报能力。0~3 h QPF结果对实际短时登陆台风降水业务预报工作具有一定的参考价值。 相似文献
2.
In order to clarify the statistical pattern by which landfalling strong tropical cyclones(LSTCs)influenced the catastrophic migrations of rice brown planthopper(BPH),Nilaparvata lugens(stl)in China,the data of the LSTCs in China and the lighting catches of BPH that covered the main Chinese rice-growing regions from 1979 to 2008 were collected and analyzed in this work with the assistance of ArcGIS9.3,a software of geographic information system.The results were as follows:(1)In China,there were 220 strong tropical cyclones that passed the main rice-growing regions and 466 great events of BPH’s immigration in the 30 years from 1979 to 2008.73 of them resulted in the occurrence of BPH’s catastrphic migration(CM)events directly and 147 of them produced indirect effect on the migrations.(2)The number of the LSTCs was variable in different years during 1979 to 2008 and their influence was not the same in the BPH’s northward and southward migrations in the years.In the 30 years,the LSTCs brought more obvious influence on the migrations in 1980,1981,2005,2006 and 2007.The influence was the most obvious in2007 and all of the 7 LSTCs produced remarkable impact on the CMs of BPH’s populations.The effect of the LSTCs on the northward immigration of BPH’s populations was the most serious in 2006 and the influence on the southward immigration was the most remarkable in 2005.(3)In these years,the most of LSTCs occurred in July,August and September and great events of BPH's immigration occurred most frequently in the same months.The LSTCs played a more important role on the CM of BPH’s populations in the three months than in other months.(4)The analysis on the spatial distribution of the LSTCs and BPH’s immigration events for the different provinces showed that the BPH’s migrations in the main rice-growing regions of the Southeastern China were influenced by the LSTCs and the impact was different with the change of their spatial probability distribution during their passages.The most serious influence of the LSTCs on the BPH’s migrations occurred in Guangdong and Fujian provinces.(5)The statistical results indicated that a suitable insect source is an indispensable condition of the CMs of BPH when a LSTC influenced a rice-growing region. 相似文献
3.
台风Mindulle变性再发展的特征及机理研究 总被引：1，自引：0，他引：1
对于2004年台风Mindulle登陆入海再发展进行研究分析。通过演变特征的分析,发现在台风北移时,冷空气入侵台风低层,台风经历一个变性再发展的过程,台风在高层一直保持暖心结构,并且在台风的西侧形成一个冷锋面结构,而在北侧为一个暖性锋面结构,使得暖空气被迫抬升,冷空气也逐渐包围了台风。冷平流与来自暖海面的暖平流交汇使得暖湿的海面对流加剧。同时高空急流入口处辐散区与台风低压的重合和西风槽的东移,对台风的维持和再发展起到了重要的作用。 相似文献
4.
基于热带气旋最佳路径资料和向外长波辐射数据,结合高斯滤波、经验正交函数分解和合成分析等方法,探讨了20~90 d周期的MJO(Madden-Julian Oscillation)和10~20 d周期的QBWO(Quasi-Biweekly Oscillation)两类大气季节内振荡对夏季(5-9月)登陆广东台风的影响。结果表明:MJO和QBWO对登陆广东台风个数、强度、位置和运动方向均有显著影响:当MJO和QBWO的对流中心(抑制中心)靠近广东沿岸时,登陆广东的台风数量多(少)、强度大(小)、登陆位置偏东(西)、登陆后东向运动的台风数量偏多(少)。在此基础上,还进一步探讨了MJO和QBWO对生成于南海和西北太平洋的这两类登陆广东台风的影响及两者对登陆广东台风的共同影响。 相似文献
5.
A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006) 总被引：5，自引：0，他引：5
The detailed surface rainfall processes associated with landfalling typhoon Kaemi(2006) are investigated based on hourly data from
a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal
wind, horizontal temperature and vapor advection from National Center for Environmental Prediction (NCEP) / Global Data Assimilation System
(GDAS) data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared (RMS) difference in
surface rain rate between the simulation and the gauge observations is 0.660 mm h-1, which is smaller than the standard
deviations of both the simulated rain rate (0.753 mm h-1) and the observed rain rate (0.833 mm h-1). The simulation
data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results
show that time averaged and model domain-mean Ps mainly comes from large-scale convergence (QWVF) and local vapor loss
(positive QWVT). Large underestimation (about 15%) of Ps will occur if QWVT and QCM (cloud
source/sink) are not considered as contributors to Ps. QWVF accounts for the variation of Ps during most
of the integration time, while it is not always a contributor to Ps. Sometimes surface rainfall could occur when divergence is
dominant with local vapor loss to be a contributor to Ps. Surface rainfall is a result of multi-timescale interactions.
QWVE possesses the longest time scale and the lowest frequency of variation with time and may exert impact on Ps in
longer time scales. QWVF possesses the second longest time scale and lowest frequency and can explain most of the variation of
Ps. QWVT and QCM possess shorter time scales and higher frequencies, which can explain more detailed
variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July. 相似文献
6.
Two sets of assimilation experiments on a landfalling typhoon—Typhoon Dan(1999)over the western North Pacific were designed to compare the performances of two kinds of variational data assimilation schemes that are the 3-Dimensional Variational data assimilation of Mapped observation(3DVM)and the 4-dimensional variational data assimilation(4DVar).Results show that:(1)both the 3DVM and 4DVar successfully improved the simulations of typhoon intensity and track incorporating the satellite AMSU-A retrieved temperature and wind data into the initial conditions,and the 3DVM more significantly due to the flow-dependent of background error covariance matrix and observation error covariance matrix like 3-dimensional variational data assimilation(3DVar)circle;(2)inclusions of extra model integration iterations at each observation time in the 3DVM make it more consistent with prediction model;(3)the 3DVM is much more time-saving due to the exclusion of the adjoint technique in it. 相似文献
7.
登陆中国大陆、海南和台湾的热带气旋及其相互关系 总被引：9，自引：1，他引：8
首先,针对登陆中国热带气旋的登陆地点资料仅为地名的现状,利用1951-2004年西北太平洋热带气旋资料和登陆中国热带气旋资料,研究制定了登陆资料信息化方案.该方案包括海岸线近似、登陆位置计算、其他特征量计算和误差订正4个方面.对资料信息化结果的分析表明:信息化登陆资料效果是良好的.在此基础上,对登陆中国热带气旋的基本气候特征进行研究,重点分析了在大陆、海南和台湾登陆的3类热带气旋以及它们的相互关系.结果表明:登陆热带气旋频繁的地区为台湾东部沿海、福建至雷州半岛沿海和海南东部沿海;台湾东部沿海和浙江沿海部分地区是登陆热带气旋平均强度最大的地区,平均登陆强度达到台风级别,其中台湾南端的平均登陆强度为最强,达到强台风级别;5-11月为热带气旋登陆中国季节,集中期为7-9月,8月最多;登陆热带气旋的强度主要集中在热带低压-台风,尤其以强热带风暴和台风最多.对于全部大陆、海南和台湾三地,50多年来登陆热带气旋频数都存在不同程度的减少趋势,但只有登陆海南热带气旋的减少趋势是显著的;而所有登陆风暴(含以上强度)频数均无明显增多或减少趋势.总体而言,登陆大陆的TC最多、初旋最早、终旋最晚、登陆期最长;登陆海南的TC居中;而登陆台湾的TC最少、初旋最晚、终旋最早、登陆期最短.从登陆方式看,登陆一地的TC最多、登陆两地的TC次之,分别占总数的79.2%和20.6%,仅有1个TC登陆三地.在登陆两地的TC中,经台湾登陆大陆的TC频数最多、强度减弱最快,经海南登陆大陆的TC频数次之、强度减弱较慢,经大陆登陆海南的TC频数排行第3、强度减弱较快. 相似文献
8.
台风在我国登陆地点的年际变化及其与夏季东亚/太平洋型遥相关的关系 总被引：9，自引：3，他引：6
本文利用1979～2007年日本气象厅JRA-25风场和高度场再分析资料和美国JTWC热带气旋的观测资料分析了7～9月份西北太平洋台风和热带气旋 (TC) 在我国登陆地点的年际变化及其与北半球夏季大气环流异常的东亚/太平洋型 (即EAP型) 遥相关的关系, 特别是分析了7～9月份在厦门以北登陆台风和TC数量的年际变化与夏季 (6～8月) EAP指数的相关。分析结果表明: 当夏季 (6～8月) EAP指数为高指数时, 则7～9月份在东亚和西北太平洋上空500 hPa高度场异常将出现 “－, +, －” EAP型遥相关的波列分布, 这时西太平洋副热带高压的位置偏北、 偏东。在这种情况下, 西北太平洋上较多的台风和TC的移动路径偏北, 这引起了7～9月份在我国厦门以北沿海登陆的台风和TC数量偏多。反之, 当夏季 (6～8月) EAP指数为低指数时, 在东亚和西北太平洋上空500 hPa高度场异常为 “+, －, +” 的 EAP型遥相关的波列分布, 这时西太平洋副热带高压的位置偏南、 偏西。在这种情况下, 西北太平洋上较多的台风和TC移动路径偏南, 这引起了7～9月份在我国厦门以北沿海登陆的台风和TC数量偏少, 较多的台风和TC在厦门以南的华南沿海登陆。 相似文献
9.
Four landfalling typhoon cases in 2005 were selected for a numerical simulation study with the
Global/Regional Assimilation and Prediction System (GRAPES) model. The preliminary assessment
results of the performance of the model, including the predictions of typhoon track, landfall time, location
and intensity, etc., are presented and the sources of errors are analyzed. The 24-hour distance forecast error
of the typhoon center by the model is shown to be about 131 km, while the 48-hour error is 252 km. The
model was relatively more skilful at forecasts of landfall time and locations than those of intensity at
landfall. On average, the 24-hour forecasts were slightly better than the 48-hour ones. An analysis of data
impacts indicates that the assimilation of unconventional observation data is essential for the improvement
of the model simulation. The model could also be improved by increasing model resolution to simulate the
mesoscale and fine scale systems and by improving methods of terrain refinement processing. 相似文献
10.
登陆热带气旋影响湖南并造成强降水的气候特征 总被引：7，自引：6，他引：1
利用1951～2007年热带气旋、湖南降水资料,统计分析了登陆影响湖南的热带气旋时空分布,及造成的强降水特征.结果表明:57年中登陆影响湖南的热带气旋共161个,平均每年3个,主要出现在7～9月,影响热带气旋主要为台风或以上强度;影响湖南的热带气旋登陆地点以广东、福建最多,强度达强热带风暴或以上的热带气旋可造成极端暴雨降水,时间主要出现在8月.20世纪90年代以后暴雨强度呈加大趋势. 相似文献