台风“鲇鱼”异常路径的诊断分析和数值模拟

从高空环流和基本气流的演变对2010年第13号台风＂鲶鱼＂进入南海以后路径发生向北＂急翘＂的大环流形势进行分析,并应用wrf模式输出的高分辨率资料,对台风中心附近的风场、温度场和θse场的分布进行探讨,得出：＂鲇鱼＂进入南海后,路径发生向北＂急翘＂是由于青藏高压增强并向东移,致使其前部高空槽加深发展,切断了华南高压和副热带高压的联系,并使华南高压南落至中南半岛一带,使台风西行受阻,逐渐转为北移。同时越赤道气流的北涌,使基本气流从东北气流转为西南气流,北偏东移动趋势加大。500～700hPa两层引导气流与＂鲶鱼＂路径有很好的对应关系。最大风速区的水平和垂直结构将影响台风移动的路径,台风中心的有向风速低值区移动的趋势,最大风速区的垂直尺度的变化对台风移动有指导意义。温度场的水平和垂直分布也将影响台风的移动路径,西侧冷空气的入侵使台风偏西移动的趋势减弱,台风中心有向等厚度低值区移动的趋势。θse的高能舌的分布,有利台风向北或北偏东方向移动。     

Comparison Between Computer Simulation of Transport and Diffusion of Cloud Seeding Material Within Stratiform Cloud and the NOAA-14 Satellite Cloud Track

A precipitation enhancement operation using an aircraft was conducted from 1415 to 1549 LST 14 March 2000 in Shaanxi Province. The NOAA-14 satellite data received at 1535 LST soon after the cloud seeding shows that a vivid cloud track appears on the satellite image. The length, average width and maximum width of the cloud track are 301 kin, 8.3 and 11 kin, respectively. Using a three-dimensional numerical model of transport and diffusion of seeding material within stratiform clouds, the spatial concentration distribution characteristics of seeding material at different times, especially at the satellite receiving time,are simulated. The model results at the satellite receiving time axe compared with the features of the cloud track. The transported position of the cloud seeding material coincides with the position of the track. The width, shape and extent of diffusion of the cloud seeding material are similar to that of the cloud track.The spatial variation of width is consistent with that of the track. The simulated length of each segment of the seeding line accords with the length of every segment of the track. Each segment of the cloud track corresponds to the transport and diffusion of each segment of the seeding line. These results suggest that the cloud track is the direct physical reflection of cloud seeding at the cloud top. The comparison demonstrates that the numerical model of transport and diffusion can simulate the main characteristics of transport and diffusion of seeding material, and the simulated results are sound and trustworthy. The area, volume, width, depth, and lateral diffusive rate corresponding to concentrations 1, 4, and 10 L^-1 are simulated in order to understand the variations of influencing range.     

Impacts of the Autumn Arctic Sea Ice on the Intraseasonal Reversal of the Winter Siberian High

During 1979–2015, the intensity of the Siberian high(SH) in November and December–January(DJ) is frequently shown to have an out-of-phase relationship, which is accompanied by opposite surface air temperature and circulation anomalies.Further analyses indicate that the autumn Arctic sea ice is important for the phase reversal of the SH. There is a significantly positive(negative) correlation between the November(DJ) SH and the September sea ice area(SIA) anomalies. It is suggested that the reduction of autumn SIA induces anomalous upward surface turbulent heat flux(SHF), which can persist into November, especially over the Barents Sea. Consequently, the enhanced eddy energy and wave activity flux are transported to mid and high latitudes. This will then benefit the development of the storm track in northeastern Europe. Conversely, when downward SHF anomalies prevail in DJ, the decreased heat flux and suppressed eddy energy hinder the growth of the storm track during DJ over the Barents Sea and Europe. Through the eddy–mean flow interaction, the strengthened(weakened)storm track activities induce decreased(increased) Ural blockings and accelerated(decelerated) westerlies, which makes the cold air from the Arctic inhibited(transported) over the Siberian area. Therefore, a weaker(stronger) SH in November(DJ) occurs downstream. Moreover, anomalously large snowfall may intensify the SH in DJ rather than in November. The ensemble-mean results from the CMIP5 historical simulations further confirm these connections. The different responses to Arctic sea ice anomalies in early and middle winter set this study apart from earlier ones.     

2009年西北太平洋热带气旋定位和业务预报精度评定

依据《台风业务和服务规定》分析2009年热带气旋(TC)业务定位和业务预报精度,主要包括:6个方法的定位精度,12个综合预报方法、3个客观预报方法和6个数值预报方法的路径预报精度,以及4个方法的强度(近中心最大风速,下同)预报精度评定。结果表明:各方法的平均定位误差均小于21 km,平均17.1 km,较2008年有所改进。国内综合预报方法的24小时、48小时和72小时路径预报的平均距离误差分别为115.8 km、217.5 km和357.1 km,与2008年相比有所偏大;客观预报方法略优于综合预报方法,24小时和48小时预报的平均距离误差分别为113.0 km和211.4 km;4个官方综合预报方法比较发现,中央气象台对我国近海海域的TC路径预报具有明显优势。强度预报仍然以统计方法为主,2009年24小时和48小时近中心最大风速预报的平均误差分别为4.90 m·s~(-1)和7.43 m·s~(-1),相比近10年的平均水平,预报性能没有明显提高。     

自适应网格在大气海洋问题中的初步应用

自适应网格法是80年代兴起的通过求解椭圆型方程的边值问题来数值生成网格的一种新方法。它是在任意形状的区域上求偏微分方程的数值解的一种非常有效的工具。该方法抛弃了等距均匀的差分网格，代之以能够自动地适应所研究问题中解的特征的疏密程度不均的曲线网格。如在边界上计算网格与实际边界相重合，在区域内部可任意调节网格点的疏密程度等。本文扼要地介绍了自适应网格的原理及其构造方法。并将其应用于生成南海区域的计算网格以及数值预报台风路径的自适应网格。     

台湾岛及邻近区域热带气旋异常路径特征分析

利用热带气旋资料和天气图、卫星云图等观测资料,统计分析了1949-2008年入侵台湾岛及邻近区域的热带气旋出现的各类异常路径的时间、空间分布规律及成因。结果表明,异常路径的形成是环境流场和台湾地形共同作用的结果,在特定的环流形势下,台湾地形的影响,导致入侵这一带区域的热带气旋结构及其周围的气压场和流场发生变化,并可能诱生出地形槽或低压。热带气旋出现左折、右折、打转和诱生低压发展取代原热带气旋的异常路径,发生在不同地点的异常路径,地形和环境作用的主次关系不同。     

两种导风方法在台风路径分析中的 应用比较研究

基于云导风使用的最大相关法（已经广泛应用）和TCFM法（傅立叶相位分析法和最大相关法相结合）两方法的原理,开发了利用FY-2C静止气象卫星30min间隔卫星云图资料获得云迹风的可视化导风实验系统。利用该系统处理2005年夏季麦莎、卡努、龙王等3个台风期间的卫星云图,对得到的云迹风进行台风路径反演分析。结果表明,TCFM导风方法得到的结果优于最大相关法。     

Preliminary Study of Sensitive Areas for Several Tropical Cyclone Track Prediction Cases in 2007

Conditional nonlinear optimal perturbation (CNOP) obtained by the ensemble-based calculation method is employed to find possible sensitive areas for improving 48-h or more than 48-h tropical cyclone (TC) track predictions in several cases affecting China in 2007. These sensitive areas are examined by observing system simulation experiments (OSSEs). Results show that these sensitive areas improve TC track predictions for 48 h or more to different extents. Further analysis is performed to determine the distribution characteristics of sensitive areas in these cases. Results show that areas south of Luzon and over surrounding oceans are significant for 48-h or more than 48-h TC track predictions, especially 60-h to 72-h track predictions. Areas over oceans north or east to Taiwan Island seem to be secondary sensitive for 48-h or more than 48-h TC track predictions.     

我国台风路径业务预报误差及成因分析

利用2005 2009年中国气象局(CMA)提供的西北太平洋(包括南海)台风路径业务预报资料,比较了各类型台风路径、台风登陆位置及登陆时间的预报误差,登陆台风不同阶段以及华东登陆和华南登陆台风的路径预报误差。结果表明:CMA在2005 2009年的路径预报水平与1999 2003年的相比有了显著提高。平均南海台风预报误差大于西北太平洋。异常路径台风主要出现于南海,三个预报时效(24、48和72 h)异常路径的预报误差平均都小于正常路径。将登陆台风分为远海、登陆期间和登陆后三个阶段,显示登陆期间台风预报误差最大,同一阶段华南登陆台风的预报误差大于华东登陆台风。台风登陆位置在24、48和72 h预报时效的平均预报误差分别为71.1、122.6和210.6 km,48和72 h台风实际登陆时间有70%早于预报时间,平均分别提早8和12 h。比较大尺度引导气流与台风移动的偏差及24 h路径预报误差,得到南海三种典型登陆台风路径的大尺度引导气流与台风移动的偏差及其与路径预报误差的关系不一样,即误差成因不同。南海倒抛物线型的大尺度引导气流与台风移动的偏差最大,其预报误差最小;西一西北型的大尺度引导气流与台风移动的偏差最小,其预报误差最大,可能与大尺度环流预报准确性差有关。登陆华东的预报误差小于登陆华南台风的预报误差,这与台风登陆华南时其大尺度引导气流和台风移动的偏差大于登陆华东的台风有关。     

中亚萨亚克大型铜矿田矽卡岩型铜成矿作用的年代学制约

萨亚克铜矿田是中亚成矿域巴尔喀什成矿带唯一的以矽卡岩型铜矿化为主的大型铜矿床,产在哈萨克斯坦的萨亚克复向斜内。铜矿田包括了几个在空间上相对独立的矽卡岩型铜矿床、斑岩型铜钼网状脉矿床和一系列石英脉型矿脉,构成了斑岩型和矽卡岩型两个端元形成的成矿系列,但以矽卡岩型为主。铜矿田花岗岩类岩石的锆石SHRIMPU-Pb定年,给出了两期与矽卡岩型铜成矿作用有关的深成岩浆作用的时代,早期的闪长岩结晶年龄为335±2Ma,晚期的花岗闪长岩结晶年龄为308±10Ma,反映了两期矽卡岩型铜成矿作用的年龄。结合成矿元素分析,认为早期335±2Ma为主要成矿期年龄,而308±10Ma为次要成矿期年龄。区域成矿时代的分析表明,主矽卡岩型成矿期先于区域的斑岩型铜成矿作用而发生,次要的矽卡岩型成矿期略晚于区域斑岩铜成矿期。花岗岩类岩石中的角闪石、黑云母、钾长石40Ar/39Ar测年结果进一步限定了矽卡岩型铜成矿作用的时代,分别给出冷却年龄为286.6±6.7Ma、306.6±2.9Ma和257±11Ma。4个花岗岩类岩石中的磷灰石裂变径迹测年和热历史模拟给出年龄范围为85.4±4.5Ma至66.9±4.1Ma,说明了矽卡岩型萨亚克铜矿田的剥露作用主要发生在晚白垩世晚期。本文花岗岩类岩石的U-Pb、40Ar/39Ar和裂变径迹热年代学研究,揭示了萨亚克铜矿田从深成的岩浆侵入活动、成矿作用、区域冷却到剥露作用的全过程。