强天气综合报警追踪平台功能设计及龙卷预警中的应用
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摘要
江苏省气象台通过建设强天气综合报警追踪平台(Sever Weather Alert and Track Compre Hensive platform,SWATCH),将省市县三级气象台强对流预警的业务分工、业务流程、资料处理和预报技术进行了集成应用和软件化表达。通过SWATCH实现了多源资料显示应用、强对流天气客观识别和客观外推、省市县三级预警快速制作和实时联动、省市县三级业务行为记录分析等强天气综合报警追踪关键技术。同时,SWATCH整合处理当前短临业务中常用的PUP、SWAN等业务系统中风暴识别和外推相关的核心产品,是结合江苏实际业务需求和业务场景的一次众创型省级业务平台试验。2015年开始SWATCH成为江苏省市县三级气象台强对流预警主业务平台,在2016年6月23日阜宁龙卷风等重大突发灾害天气的预警过程中发挥重要作用。
The Sever Weather Alert and Track Comprehensive platform(SWATCH) is constructed by integrating the assignments and processes of meteorological operations, and the data processing and forecasting technology of the strong convective early-warning among the observatories at three levels of the province, cities and counties in Jiangsu. The SWATCH is demonstrated by the vital technology of alerting and tracking severe weather, such as application and display of multi-source observation data, objectively identification and extrapolation of severe convective weather, rapid production and real-time linkage among three-level earlywarnings in the province, cities, and counties. At the same time, SWATCH integrates the core products related to storm identification and extrapolation in PUP and SWAN which are commonly used in nowcasting. It is a breakthrough in the provincial-level operational platform that combines actual operational needs and operational scenarios in Jiangsu. Since 2015, SWATCH has become the main business platform for the strong convection weather warning at three-level meteorological stations in cities and counties in Jiangsu Province. And it has played an important role in operations on the early warning process of major sudden catastrophic weather, such as the Funing tornado on June 23 2016.
The Sever Weather Alert and Track Comprehensive platform(SWATCH) is constructed by integrating the assignments and processes of meteorological operations, and the data processing and forecasting technology of the strong convective early-warning among the observatories at three levels of the province, cities and counties in Jiangsu. The SWATCH is demonstrated by the vital technology of alerting and tracking severe weather, such as application and display of multi-source observation data, objectively identification and extrapolation of severe convective weather, rapid production and real-time linkage among three-level earlywarnings in the province, cities, and counties. At the same time, SWATCH integrates the core products related to storm identification and extrapolation in PUP and SWAN which are commonly used in nowcasting. It is a breakthrough in the provincial-level operational platform that combines actual operational needs and operational scenarios in Jiangsu. Since 2015, SWATCH has become the main business platform for the strong convection weather warning at three-level meteorological stations in cities and counties in Jiangsu Province. And it has played an important role in operations on the early warning process of major sudden catastrophic weather, such as the Funing tornado on June 23 2016.
引文
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[13]马洪波,陈长胜,牛立强,等.基于SWAN系统的新冰雹指数应用及检验.气象灾害防御,2016,23(2):20-25.
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[15]曾明剑,王桂臣,吴海英,等.基于中尺度数值模式的分类强对流天气预报方法研究.气象学报,2015,73(5):868-882.
[16]曾明剑,张备,吴海英,等.基于接近度概念的强对流天气预报方法研究.高原气象,2015,349(5):1357-1368.
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[3]唐凯,李兴权.SWAN在黑龙江省短时临近预报中应用及产品检验.黑龙江气象,2012,29(2):17-18.
[4]王红燕,周丹丹,王叶红.SWAN产品在“2012·7”沙澧河流域特大暴雨过程中的应用.暴雨灾害,2015,34(3):239-248.
[5]王改利,刘黎平,阮征.等.基于雷达回波拼图资料的风暴识别、跟踪及临近预报技术.高原气象,2010,29(6):1546-1555.
[6]周毓荃,潘留杰,张亚萍,等.TITAN系统的移植开发及个例应用.大气科学学报,2009,(6):752-764.
[7]曾小团,梁巧倩,农孟松,等.交叉相关算法在强对流天气临近预报中的应用.气象,2010,36(1):31-40.
[8]胡争光,郑卫江,高嵩,等.气象GIS网络平台关键技术研究与实现.应用气象学报,2014,25(3):365-374.
[9]刘洲荣.基于MICAPS的二次开发平台建设.气象研究与应用,2016,37(S1):126.
[10]颜琼丹,苏洵,韦庆华,等.一种基于多种资料融合技术的短时临近预报方法.气象研究与应用,2010,31(4):49-52.
[11]程丛兰,陈明轩,王建捷,等.基于雷达外推临近预报和中尺度数值预报融合技术的短时定量降水预报试验.气象学报,2013,71(3):397-415.
[12]吴林林,刘黎平,郑媛媛,等.基于SWAN的冰雹探测算法研究.高原气象,2014,33(3):823-831.
[13]马洪波,陈长胜,牛立强,等.基于SWAN系统的新冰雹指数应用及检验.气象灾害防御,2016,23(2):20-25.
[14]郑媛媛,张备,王啸华,等.台风龙卷的环境背景和雷达回波结构分析.气象,2015,41(8):942-952.
[15]曾明剑,王桂臣,吴海英,等.基于中尺度数值模式的分类强对流天气预报方法研究.气象学报,2015,73(5):868-882.
[16]曾明剑,张备,吴海英,等.基于接近度概念的强对流天气预报方法研究.高原气象,2015,349(5):1357-1368.