摘要
强对流天气突发性、局地性强,持续时间短,预报难度大,灾害性极大。当前短临预报技术对雷雨大风、短时强降水等突发性强对流天气预报能力有限。深圳市气象局基于现有的短临预报技术,同时借助气象现代化建设成果,持续探索突发强对流天气的有效应对机制。本文以深圳市2021年第一次强对流天气过程为案例,探讨突发强对流天气的有效应对防御机制。此次强对流天气过程历时短、雨强大、天气剧烈,精准预报难度大,且正值五一假期,安全防范压力大。深圳市气象局采取“一体化风险研判、三级预警防线、分步精准发布”等措施,有效解决了气象灾害预警信息传递“最后一公里”问题;建立并完善强对流天气协同指挥和快速联防联动两项机制,将气象灾害影响降至最低,全市未发生因暴雨和大风造成的重大灾情及人员伤亡。
Severe convective weather tends to occur suddenly within a local range and its duration is relatively short.Thus,it is difficult to forecast such disastrous event.At present,the existing short-term forecasting technology has limited ability to forecast severe convective weather such as thunderstorms,gales and short-time severe rainfalls.Shenzhen Meteorological Bureau keeps on exploring effective response mechanisms to severe convective weather based on the existing short-term forecasting technology and meteorological modernization achievements.Here we take the first severe convective weather process of Shenzhen in 2021 as a case to discuss the effective response to and defense mechanism of abrupt severe convective weather.This severe convective weather event brought heavy rainfall but lasted for a short period of time,so it was difficult to provide accurate forecast.Moreover,it occurred during May Day Holiday and brought high pressure on safety precautions.Shenzhen Meteorological Bureau took measures such as“integrated risk judgment,three-level pre-warning defense line,and phased accurate release”to effectively solve the“last mile”problem of meteorological disaster warning information transmission.Two mechanisms of coordinated command and prompt joint defense have also been established and improved for minimizing the impact of meteorological disasters.There were no major disasters or casualties caused by heavy rainfall and gales during the severe convective weather process.
作者
唐滢
兰红平
郑群峰
蔡伟源
张超
刘佳
赖鑫
陈训来
陈元昭
Tang Ying;Lan Hongping;Zheng Qunfeng;Cai Weiyuan;Zhang Chao;Liu Jia;Lai Xin;Chen Xunlai;Chen Yuanzhao(Shenzhen Meteorology Bureau,Shenzhen 518040;Shenzhen Key Laboratory of Severe Weather in South China,Shenzhen 518040)
出处
《气象科技进展》
2022年第6期104-112,共9页
Advances in Meteorological Science and Technology
基金
国家重点研发计划政府间/港澳台重点专项项目(2019YFE0110100)
广东省气象局科学技术研究项目(GRMC2020M32),广东省气象局科技创新团队项目(GRMCTD202104)
国家自然基金项目(41975124)。
关键词
强对流天气
气象服务
人工智能
三级短临预警防线
防御机制
severe convective weather
weather service
artificial intelligence(AI)
three-level pre-warning defense line
defense mechanism