REASONS FOR RAINFALL UNDERESTIMATION OF THE SUPER TYPHOON 1614 (MERANTI) AT COASTAL ZHEJIANG PROVINCE
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摘要: 通过对1614号超强台风“莫兰蒂”在浙江沿海降水预报偏小的原因进行回顾,同时基于美国NOAA HYSPLIT4模式,对“莫兰蒂”水汽来源进行轨迹聚类,针对不同路径来源的水汽在“莫兰蒂”浙江沿海降水中的贡献差异进行定量分析,结果表明:数值模式对“莫兰蒂”路径预报偏西、降水预报偏小,直接影响了主观预报服务中降水强度和落区的判断,而数值产品对中纬度环流作用和浙江沿海台风倒槽的预报出现偏差,同时对1616号台风“马勒卡”路径预报偏东,导致主观预报忽略了“莫兰蒂”与其他天气系统的相互作用,影响了对降水动力和水汽因子的判断,也是降水预报偏小的原因之一。“莫兰蒂”水汽输送有3支气流,分别来自东北、东南和偏南洋(海)面,后2支气流为主要水汽来源,浙北沿海以东南向水汽输送最重要,对水汽和降水贡献高达70%以上,表现出1616号台风“马勒卡”对“莫兰蒂”在浙北沿海降水的重要作用,而浙南沿海台风本体的偏南气流与“马勒卡”的东南气流的水汽输送作用相当。可见台风降水预报中,需要密切关注台风环流与其它天气系统以及双台风间的相互作用。Abstract: Review was carried out in this paper to investigate the reasons for underestimated rainfall of the super typhoon Meranti (1614) in coastal Zhejiang province, and water vapor trajectory clustering was done as well by using the NOAA HYSPLIT4 model to investigate the quantitative contributions of water vapor to rainfalls from different channels. Results show that typhoon track deviations and rainfall underestimations by numerical models had direct impacts on the subjective forecasts of rainfall intensities and hitting areas. Moreover, numerical model forecast deviations, including weather patterns at mid-latitude, a typhoon reverse trough at coastal Zhejiang areas, and the eastward track offset of typhoon Malakas (1616), which led to the neglect of the interactions between Meranti and other weather systems in subject forecast and impacted the correct forecasts of rainfall dynamics and vapor conditions, should all be blamed for the rainfall underestimations. There were three water vapor trajectories for Meranti, from the northeast, southeast and south oceans (seas) respectively, with the latter two being the main sources. The southeast airflow was the most important for the rainfalls at the northern coast of Zhejiang, which took up more than 70% of the contributions to water vapors and rainfalls, implying the important role of typhoon Malakas for the rainfalls of typhoon Meranti. While at the southern coast of the province, the south airflow took almost as much role as the southeast airflow in water vapor transportation. Analysis implied that in routine services attentions should be paid to the interactions between typhoons and other weather systems as well as binary typhoon interactions.
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表 1 2016年9月14日08时—16日08时浙北、浙南沿海各水汽通道特征统计
地点 项目 通道1 通道2 通道3 浙北沿海 轨迹数所占比例/% 12 64 24 水汽贡献率/% 0.2 71.7 28.1 降水贡献率/% 2.0 77.7 20.2 通道平均比湿/(g/kg) 13.4 13.9 10.4 通道平均位温/K 298.7 305.0 312.2 通道平均高度/m 647.5 1 287.9 2 530.6 浙南沿海 轨迹数所占比例/% 10 39 51 水汽贡献率/% 13.5 43.3 43.2 降水贡献率/% 2.3 47.1 50.6 通道平均比湿/(g/kg) 13.6 15.3 11.6 通道平均位温/K 298.8 305.2 309.8 通道平均高度/m 574.8 1 072.4 1 985.7 -
[1] 漆梁波, 曹晓岗.双台风形势下上海地区一次暴雨过程的预报分析和对比[J].热带气象学报, 2013, 29(2): 177-188. [2] 曹晓岗, 王慧, 漆梁波.台风与冷空气对"13.10"上海特大暴雨过程的影响分析[J].暴雨灾害, 2014, 33(4): 351-362. [3] 许映龙, 吕心艳, 张玲, 等. 1323号强台风菲特特点及预报难点分析[J].气象, 2015, 41(10): 1 222-1 231. [4] 曹晓岗, 王慧. "8·23—24"上海远距离台风大暴雨影响分析[J].气象, 2016, 42(10): 1 184-1 210. [5] 徐洪雄, 徐祥德, 张胜军, 等.台风韦森特对季风水汽流的"转运"效应及其对北京7.21暴雨的影响[J].大气科学, 2014, 38(3): 537-550. [6] 李英, 陈联寿, 徐祥德.水汽输送影响登陆热带气旋维持和降水的数值试验[J].大气科学, 2005, 29(1): 91-98. [7] 丛春华, 陈联寿, 雷小途, 等.热带气旋远距离暴雨的研究[J].气象学报, 2012, 70(4): 717-727. [8] 吴海英, 陈海山, 曾明剑, 等.冷空气对台风"海葵"(1211)倒槽特大暴雨作用分析[J].热带气象学报, 2014, 30(5): 871-880. [9] 卢小丹, 王黎娟, 刘国忠, 等.两个不同季节台风引发广西特大暴雨的水汽和螺旋度对比分析[J].热带气象学报, 2017, 33(3): 375-385. [10] 徐洪雄, 徐祥德, 陈斌, 等.双台风生消过程涡旋能量、水汽输送相互影响的三维物理图像[J].气象学报, 2013, 71(5): 825-838. [11] 梁军, 张胜军, 黄艇, 等.辽东半岛"达维"(1210)台风暴雨的诊断分析[J].气象, 2015, 41(3): 364-371. [12] 周福, 钱燕珍, 朱宪春, 等."菲特"减弱时浙江大暴雨过程成因分析[J].气象, 2014, 40(8): 930-939. [13] YU Z S, JI C X, XU J, et al. Numerical simulation and analysis of the Yangtze River Delta Rainstorm on 8 October 2013 caused by binary typhoons[J]. Atmos Res, 2015, 166(1): 33-48. [14] 谢惠敏, 任福民, 李国平, 等.超强台风丹娜丝对1323号强台风菲特极端降水的作用[J].气象, 2016, 42(2): 156-165. [15] 孙建华, 汪汇洁, 卫捷, 等.江淮区域持续性暴雨过程的水汽源地和输送特征[J].气象学报, 2016, 74(4): 542-555. [16] DRAXLER R R, HESS G D. An overview of the HYSPLIT4 modeling system for trajectories, dispersion and deposition[J]. Australian Meteor Magazine, 1998, 47(4): 295-308. [17] 周沙, 刘宁, 刘朝顺. 2013-2015年上海市霾污染事件潜在源区贡献分析[J].环境科学学报, 2017, 37(5): 1 835-1 842. [18] 董美莹, 陈锋, 许娈, 等.浙江热带气旋倒槽暴雨气候特征研究[J].热带气象学报, 2017, 33(1): 84-92. -
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