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Solar radiation was the second cause of large variation in leaf growth of taro. When transplanting in January, the rate of increase and maximum value of LAI was largest, and the annual deviation in the dynamics of leaf growth was smallest.

虽然本省水芋可全年种植,但以1月种植期的LAI增加速率最快且在年度间变异最小,倘提前於11月或延后至3-5月种植有可能分别因为低温、梅雨或颱风等异常气候而减缓叶片生长。

Solar radiation was the second cause of large variation in leaf growth of taro. When transplanting in January, the rate of increase and maximum value of LAI was largest, and the annual deviation in the dynamics of leaf growth was smallest.

虽然本省水芋可全年种植,但以1月种植期的LAI增加速率最快且在年度间变异最小,倘提前於11月或延后至3-5月种植有可能分别因为低温、梅雨或台风等异常气候而减缓叶片生长。

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。

With the assimilation of dropsonde/QuikSCAT data, the simulated environmental flow becomes more northerly/southerly, resulting in better tracks. The data assimilation also helps to produce better water vapor mixing ratio in the simulations of the Bilis and Mei-yu cases. As a result, the radar reflectivity is better captured in the simulations.

雷达回波强度方面,碧利斯台风及6月中旬梅雨锋面个案之模拟前期同化该两种资料后,有较大的水气混合比,因为有较大的湿度及较多云水含量的缘故,使其模拟有较强的最大回波值,与观测较为接近。

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。

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每逢看到沃林顿那刚毅的脸,那乌黑、忧郁的眼睛,她便会相信,他一定作过不幸的爱情的受害者。

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