APPLICATION OF BDA SCHEME IN TYPHOON TRACK PREDICTION

The MM5, which is the PSU/NCAR mesoscale nonhydrostatic limited-area model, and its adjoining modeling system are used in this paper. Taking T106 analysis data as background field the authors generate an optimal initial condition of a typhoon by using two bogus data assimilation schemes, and conduct some numerical simulating experiments. The results of No.9608 typhoon (Gloria) show that the optimal initial field have some dramatic improvements, such as inaccurate position of typhoon center, weaker typhoon circulation and incomplete inner structure of the typhoon, which are caused by shortage of data over the sea. Some improvements have been made in the track forecast. Through several comparing experiments, the initialization optimized by BDA scheme is found to be more reasonable than GFDL scheme and its typhoon track forecast is better.     

“碧利斯”引发广西异常暴雨的成因分析

利用常规气象资料和卫星云图等资料对“碧利斯”造成异常暴雨的成因进行了综合分析，结果表明：“碧利斯”登陆减弱成的低压进入广西为强降水提供了动力抬升条件；中低层低压环流与强盛的西南暖湿气流相互作用，为降水云团不断发生和发展提供“燃料”；低层水汽辐合、高层辐散和强烈的上升运动是造成异常暴雨的主要原因。     

浅谈台风雨性质的辨别

利用地面观测资料,以及观测经验,对台风产生的降水过程进行分析,从中鉴别出该降水是阵性还是非阵性。     

多普勒雷达探测“艾利”台风风场不对称结构

2004年8月25日, “艾利”台风在靠近我国台湾东北部海域后不同于正常路径, 先后发生两次左折, 先是西北转偏西, 再偏西转西南, 这种路径在历史上极为罕见。通过“艾利”台风的雷达观测事实, 从单多普勒雷达和双多普勒雷达均发现在台风前进方向的右前方, 即西北象限风速极值大于其他象限, 进一步证明了“艾利”台风的风场分布遵循波数为1的非对称性, 从位于台风不同象限的福州长乐和厦门两站雷达资料, 以及常规的地面观测、高空探测资料和NCEP数值预报再分析资料都得到证实。研究表明, “艾利”台风处在大陆高压东南侧, 台风外围存在一支7 m/s左右的环境风场引导气流。因此, 西北象限风速极值大于其他象限的不对称分布可能是由环境风场和台风本身两方面共同造成的, 这种不对称分布有利于维持“艾利”台风向西南方向移动。在我国东南沿海地区, 由于单部多普勒雷达不可能同时探测到台风的西北、东北和西南3个象限的风速极值, 而双多普勒雷达或多多普勒雷达联合探测台风, 则可以同时探测到3个象限的风速极值, 根据风速极值可能存在的不对称分布情况来预测台风的路径转折趋势, 因此重视双多普勒雷达或多多普勒雷达联合探测对于提高监测预报水平具有重要的意义。     

影响中国的台风频数年代际变化趋势:1951-2004年

Interdecadal variations in the frequency of typhoon affecting China (TAC) during 1951-2004 were investigated in this study. The yearly frequency of TACs showed a slightly increasing trend from the 1950s to the early 1970s and a significant decreasing trend afterwards. There were more TACs during the 1960s while the most inactive period was observed in recent 10 years. A decreasing trend was observed in the monthly frequency of TACs in June, August and September throughout the 54 years. Large interannual variabilities were apparent in yearly and monthly frequencies of TACs.     

9711号台风的移动路径和影响山东的特大暴雨分析

对９７１１号台风的移动路径及其造成的暴雨进行了分析。分析表明,副高外围环流在台风移动过程中有明显的引导作用;台风的移动路径和暴雨落区与正涡度轴线及高能轴线都有较好的对应关系;对流层中层变能场的分布对台风移动路径有明显的预报指示意义。     

FY-4A GIIRS高时间分辨率温湿度廓线反演及其在台风中的应用

针对2020年第9号台风"美莎克"期间FY-4A 高光谱红外干涉式大气垂直探测仪GIIRS每15 min一次的目标区跟踪加密观测资料,用三维卷积神经网络算法反演的全天空大气温度、湿度廓线分析了台风处于生命史不同阶段时暖心结构和湿度场结构的演变特征。结果表明:卷积神经网络的深度机器学习算法可以用来反演全天空的三维大气温度和湿度垂直廓线,不光适用范围广(晴空和有云视场)、反演精度高,而且反演速度快。利用静止卫星平台高时间分辨率的特性,反演得到的温度、湿度廓线可以细致追踪台风处于发展、成熟和登陆等阶段时暖心结构和湿度场的时空演变特征。台风从发展阶段(热带风暴和强热带风暴)到成熟阶段至登陆消亡时,暖心首先出现在对流层中高层较薄的区域,随着台风强度的加强,深厚的暖心结构明显、强度增加,水平面积增大且垂直往下延伸。由于对流云中强上升气流的输送水汽正距平区逐渐上传至300 hPa,台风最强时密闭云区与四周下沉气流区比湿差高到8 K·kg^-1。暖心结构和高湿度中心随着台风登陆而逐渐消失。     

黄海在有无潮作用下对“布拉万”不同响应的数值模拟研究

黄海是典型的强潮驱动的陆架浅海。为了研究黄海对台风的响应特点,本文利用区域海洋模式(Regional Ocean Modeling Systems,ROMS)分别模拟了在有潮和无潮作用下黄海对台风"布拉万"的响应过程。结果表明,不管潮存在与否,"布拉万"经过黄海后都引起了海表面降温和流速的近惯性振荡响应,这种响应主要分布于黄海中部较深区域,带通滤波提取的近惯性流速具有垂向第一模态特征。同时,研究发现强背景潮流能显著地影响黄海对"布拉万"的响应过程。主要结论如下:一方面,由于潮的存在,近岸垂向混合均匀的较暖水体与远岸较冷水体之间会形成潮混合温度锋面,"布拉万"过后,暖水发生了明显的离岸扩张,尽管路径右侧的混合层降温更显著,但是左侧即黄海西岸的暖水扩张更明显;另一方面,潮的存在减弱了布拉万产生的近惯性振荡响应,半日潮流在黄海仍然占据主导地位。在混合层中潮流的作用减弱了"布拉万"产生的近惯性能量,但也使其更易穿过跃层传入黄海内部。     

南渡江河口洪、枯季节水文泥沙变化特征及台风“海鸥”对入海水沙的影响

基于2014年最新的洪、枯季节实测资料,分析了南渡江河口海域水文泥沙的季节性变化特征,借助台风"海鸥"过境期间的河道监测数据,研究了台风天气造成的洪水事件对河流入海水沙通量的影响。研究结果表明:(1)洪、枯季节河口海域的水体层化作用不强,洪季的水温高于枯季,但盐度低于枯季。水温呈现向海递减的趋势,而盐度整体分布较为均匀;(2)河口水体含沙量近岸大于远岸,枯季河口三角洲泥沙向西输运。洪季含沙量明显高于枯季,大量泥沙在台风季节被冲刷入海,而后向海或向西输运扩散;(3)河口海域为不规则全日潮,呈现东西向往复流特征。温度、盐度和浊度均呈现较强的潮汐性变化特征;(4)枯季河道内存在明显的盐水楔,锋面处的垂向梯度很大,在口门向陆大约12—15 km以远的河道水体不再受潮汐影响;(5)台风"海鸥"影响下,南渡江洪峰期间的径流量和含沙量均远远超过多年平均值,反映了南渡江河口地区"台风季节"的特点。     

南海北部陆架区两个台风过境时近惯性运动的若干特征

Features of near-inertial motions on the shelf(60 m deep) of the northern South China Sea were observed under the passage of two typhoons during the summer of 2009. There are two peaks in spectra at both sub-inertial and super-inertial frequencies. The super-inertial energy maximizes near the surface, while the sub-inertial energy maximizes at a deeper layer of 15 m. The sub-inertial shift of frequency is induced by the negative background vorticity. The super-inertial shift is probably attributed to the near-inertial wave propagating from higher latitudes. The near-inertial currents exhibit a two-layer pattern being separated at mid-depth(25–30 m), with the phase in the upper layer being nearly opposite to that in the lower layer. The vertical propagation of phase implies that the near-inertial energy is not dominantly downward. The upward flux of the near-inertial energy is more evident at the surface layer(17 m). There exist two boundaries at 17 and 40 m, where the near-inertial energy is reflected upward and downward. The near-inertial motion is intermittent and can reach a peak of as much as 30 cm/s. The passage of Typhoon Nangka generates an intensive near-inertial event, but Typhoon Linfa does not. This difference is attributed to the relative mooring locations, which is on the right hand side of Nangka's path(leading to a wind pattern rotating clockwise with time) and is on the left hand side of Linfa's path(leading to a wind pattern rotating anti-clockwise with time).