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地面稠密观测资料在强对流天气监测预警中的研究进展
引用本文:李佩芝,周长春,华维.地面稠密观测资料在强对流天气监测预警中的研究进展[J].云南地理环境研究,2020(1):53-58.
作者姓名:李佩芝  周长春  华维
作者单位:成都信息工程大学大气科学学院;四川省气象台;高原与盆地暴雨旱涝灾害四川省重点实验室
基金项目:国家自然科学基金(41775072,91537214,41405069);四川省教育厅重点项目(16ZA0203);成都信息工程大学中青年学术带头人科研基金(J201516);引进人才启动基金(KYTZ201517)和中国气象局预报员专项(CMAYBY2018-063).
摘    要:综述国内外数篇论文,从强对流天气监测、预报预警、模式同化3个方面总结分析了近年来地面稠密观测资料的应用与优劣之处。综述表明:地面加密自动站、风廓线雷达、地基GPS、雨滴谱仪等多种观测仪器组成的地面稠密观测网具有时间尺度密集、覆盖面积广泛、能捕捉较多细微变化的优势,通过该观测网所得数据总结出的一系列指示性指标在强对流监测预警中具有重要的指示意义。但因中国地形天气情况复杂多变、数据缺失、仪器造价昂贵等问题,导致该观测网所得指示性指标不能适用于中国全境,应根据该观测网数据分析总结适应本地的预报指标。

关 键 词:地面观测资料  强对流天气  预报预警  研究进展

RESEARCH PROGRESS OF DENSE SURFACE OBSERVATION DATA IN SEVERE CONVECTION WEATHER MONITORING AND WARNING
LI Pei-zhi,ZHOU Chang-chun,HUA Wei.RESEARCH PROGRESS OF DENSE SURFACE OBSERVATION DATA IN SEVERE CONVECTION WEATHER MONITORING AND WARNING[J].Yunnan Geographic Environment Research,2020(1):53-58.
Authors:LI Pei-zhi  ZHOU Chang-chun  HUA Wei
Institution:(School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,Sichuan,China;Sichuan Provincial Meteorological Service,Chengdu 610072,Sichuan,China;Key Laboratory of Sichuan Province for Rainstorm,Drought and Flood Disaster in Plateau and Basin,Chengdu 610072,Sichuan,China)
Abstract:This article summarizes several papers at home and abroad,summarizes and analyzes the application and advantages and disadvantages of dense ground observation data in recent years from three aspects:strong convection weather monitoring,forecasting and early warning,and model assimilation.The summary shows that the dense ground observation network composed of various observation instruments such as ground encryption automatic station,wind profile radar,ground-based GPS,and raindrop spectrometer has the advantages of dense time scale,wide coverage area,and can capture more subtle changes.A series of indicative indicators summarized by the data obtained by the observation network have important indication significance in the strong convection monitoring and early warning.However,due to the complex and changeable terrain weather conditions in China,the lack of data,and the high cost of instruments,the indicator indicators obtained by the observation network cannot be applied to the entire territory of China.Therefore,the analysis and summary of the observation network data should be adapted to local forecast indicators.
Keywords:ground observations  severe convection weather  monitoring and warning  research progress
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