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These days a typhoon called Rosa hit Taiwan province. It rained heavily with strong wind. Traffic, schools, and factories were rained out. People had to stay at home.

这几天有个叫"罗莎"的台风登陆台湾省,雨下得很大并伴随着强风,交通、学校、工厂因下雨被停止,人们不得不呆在家里。

Everything is quiet in the eye of a storm.

台风的风眼中间,一切都是平静的。

The storm did a lot of damage.

那场台风造成很大的损失。

A typhoon, to this beautiful small town into a vast ocean.

一场台风,把这座美丽的小城变成了汪洋大海。

When he reported on the devastating effects of the recent typhoon on aborigine homes and families, it was a joy to add to my giving list a contribution for those folk, and you all made that possible.

他报告了最近台风对原住民家庭有破坏性的影响,我很高兴将他们列在我的奉献名单内,而你们对我的慷慨,成就了这件事。

Use 1 ° of NCEP1 °× to analyse data, T213 to analyse data and groovy observation data again, wait for a respect from moisture requirement, heating power condition, motivation condition, to the reason that method of " of Aeolus of " of the 6th typhoon, intensity changed 2008, reach its to undertake an analysis to the influence of Jiangxi.

梗概: 利用NCEP1°×1°再分析资料、T213分析资料和常规观测资料,从水汽条件、热力条件、动力条件等方面,对2008年第6号台风"风神"路径、强度变化的原因,及其对江西的影响进行分析。

The results show that the simulated track of Bilis has about 39% and 16% improvement averaged during the 72 h forecasts after the assimilation of dropsonde and QuikSCAT data, respectively. The simulation of radar reflectivity is also improved. Similarly, the simulated track of Kaemi is improved by 26% and 21% by assimilating dropsonde and QuikSCAT data, respectively. However, the data assimilation appears to have no improvement in terms of radar reflectivity simulation for the Kaemi case.

结果显示,碧利斯台风在加入投落送资料与QuikSCAT资料后,对模拟6至72小时的平均路径误差除分别有52 km及16 km的改进外,对雷达回波强度之模拟也有所改善,而凯米台风在加入上述两种资料后,对模拟路径误差之整体改进则分别达到71 km及42 km;6月中旬梅雨锋面个案同化该两种资料后之雷达回波模拟强度也有所改善,而与观测较为接近。

Researchers from National Taiwan University board ed the AIDC plane at 5 a.m. Saturday before heading for the typhoon. They dropped 15 GPS Dropsonde testing instruments into the storm to measure its structure, intensity and changes.

凌晨五点,台大研究员乘坐汉翔追风计画的飞机,飞往海棠台风的暴风圈外围,突破对流旺盛影响飞行的危险,投掷十五枚探测仪,侦测到台风的结构密度和变化。

This study uses the Weather Research and Forecasting model and its variational data assimilation system to examine the impact of dropsonde and QuikSCAT data on numerical simulations. Three cases, including Typhoon Bilis (2006), Typhoon Kaemi (2006), and a Mei-yu rainfall event, are tested. These cases are chosen because there were special data collections of dropsonde observations.

本文使用WRF模式三维变分同化方法,针对2006年碧利斯台风、凯米台风及6月中旬梅雨锋面三个个案,将投落送资料、QuikSCAT风场资料及传统观测资料同化於WRF中尺度模式中,藉以了解同化投落送与QuikSCAT资料对模式初始场及后续数值模拟的影响,并透过敏感度实验来进行影响探讨。

As for the mid-June 2006 Mei-yu case, the assimilation of both kinds of data can help the simulation of radar reflectivity. Further investigations show that the assimilation of dropsonde and QuikSCAT data produces stronger southerly environmental winds in the Bilis case, resulting in a better simulated track than the runs without these data. In these runs, the simulated tracks are too far to the south compared with the observed. In the Kaemi case, the tracks of simulations without dropsonde/QuikSCAT data assimilation were shifted to the north/south of the observed track, respectively.

从影响实验研究发现,同化投落送及QuikSCAT资料后,碧利斯台风个案於模拟后期具有较强的南风分量,使其模拟路径不至於像未同化该两种资料者过於偏南;凯米台风个案同化投落送资料后於模拟后期具有较弱的南风分量,而同化QuikSCAT资料后则具有较强的南风分量,使其模拟路径不至於像未同化投落送及QuikSCAT资料者过於偏北及偏南,而与观测路径较为接近。

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