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广东“18.8”季风槽极端降水事件对流尺度集合预报分析
引用本文:陈训来,朱科锋,王德立,陈元昭,王蕊,杨楠,张华龙.广东“18.8”季风槽极端降水事件对流尺度集合预报分析[J].热带气象学报,2024(1):11-22.
作者姓名:陈训来  朱科锋  王德立  陈元昭  王蕊  杨楠  张华龙
作者单位:1.深圳市气象局,广东 深圳 518040;2. 深圳南方强天气研究重点实验室,广东 深圳 518040;3.南京气象科技创新研究院/中国气象局交通气象重点开放实验室,江苏 南京210041;4.南京大学大气科学学院中尺度灾害性天气教育部重点实验室,江苏 南京 200193;5.广东省气象台,广东 广州 510641
摘    要:受季风槽影响,2018年8月30—31日华南地区出现一次极端暴雨过程,单日站点累计降水量达1?056.7 mm,刷新了广东有历史纪录以来新的极值。对于此次极端降水事件,常用的业务模式包括欧洲中期天气预报中心全球模式(ECMWF)、日本气象厅谱模式(JMA)和中国气象局广东快速更新同化数值预报系统(CMA-GD),都低估了降水强度。利用深圳市气象局业务对流尺度集合预报系统分析了此次特大暴雨过程,结果表明:对流尺度集合预报系统对本次特大暴雨过程具有比较好的预报能力,概率匹配平均最大雨量达348.7 mm·(24 h)-1,集合平均的强降水中心和观测基本一致,观测极值附近区域发生大暴雨(≥150 mm)概率最大值达到80%。选取了较“好”和较“差”集合成员预报进行对比分析,发现较“好”成员预报的强降水中心位置和观测基本一致,而较“差”成员预报的降水中心位置则偏向福建地区。较 “好”成员预报出莲花山南侧地面中尺度辐合线较长时间的维持和缓慢移动,导致强降水雨团在莲花山脉附近不断地触发和维持,同时地形的阻挡作用使得对流系统在地形附近区域持续维持,造成了罕见的特大暴雨;而较“差”成员辐合区位于莲花山以北,对流形成后向东、向北移动,最终导致强降水预报位置偏向福建地区。

关 键 词:季风槽  极端降水  集合预报  地面辐合线

Analysis of Storm-scale Ensemble Forecasts for an Extreme Rainfall Event Associated with a Monsoon Trough on 30 August 2018 in Guangdong
CHEN Xunlai,ZHU Kefeng,WANG Deli,CHEN Yuanzhao,WANG Rui,YANG Nan,ZHANG Hualong.Analysis of Storm-scale Ensemble Forecasts for an Extreme Rainfall Event Associated with a Monsoon Trough on 30 August 2018 in Guangdong[J].Journal of Tropical Meteorology,2024(1):11-22.
Authors:CHEN Xunlai  ZHU Kefeng  WANG Deli  CHEN Yuanzhao  WANG Rui  YANG Nan  ZHANG Hualong
Affiliation:1. Shenzhen Meteorological Bureau, Shenzhen, Guangdong 518040, China;2. Shenzhen Key Laboratory of Severe Weather in South China, Shenzhen, Guangdong 518040, China;3. Key Laboratory of Transportation Meteology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China;4. Key Laboratory of Mesoscale Severe Weather/Ministry of Education and School of Atmospheric Sciences, Nanjing University, Nanjing 200193, China; 5. Guangdong Meteorological Service, Guangzhou 510641, China
Abstract:On 30 August 2018, an extreme rainfall event occurred in Guangdong Province with a record-breaking 24 h precipitation of 1056.7 mm. Operational forecasts from the ECMWF, JMA and CMA-GD greatly underestimated the precipitation amount. In this study, a storm-scale ensemble forecast system (SSEF) at 4 km grid spacing produced by the Shenzhen Meteorological Bureau was used to study this extreme event. The SSEF produced a high probability of occurrence for this rainfall event. The maximum ensemble probability of precipitation exceeding 150 mm day-1 was over 80%. The predicted maximum probability-matched mean rain rate was 348.7 mm day-1, and the predicted ensemble mean heavy rainfall center matched the observation well. To understand the main causes of forecast biases, the present study also analyzed the members of relatively good and bad performance in predicting the location of heavy rainfall. Close examination showed that the surface mesoscale convergence line predicted by the good member was located on the south side of the Lianhua Mountains. It moved slowly and persisted for a long time due to terrain blocking, causing heavy rainfall near the mountains. In contrast, the surface convergence line of the bad member was located north of the Lianhua Mountains. Without terrain blocking, the precipitation system moved towards the northeast, resulting in the mislocation of the forecasted heavy rainfall center.
Keywords:monsoon trough  extreme rainfall  ensemble forecasts  surface convergence line
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