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作 者:徐全倩 李志鹏[1] 周晓香[1] 刘冬梅[1] 赖亮 Xu Quanqian;Li Zhipeng;Zhou Xiaoxiang;Liu Dongmei;Lai Liang(Jiangxi Meteorological Information Center,Nanchang 330096,China)
出 处:《气象与减灾研究》2021年第2期121-126,共6页Meteorology and Disaster Reduction Research
基 金:2019年江西省气象局重点科研项目“国家气象观测站网态势感知关键技术研究与应用”;2019年江西省气象局重点科研项目“地面气象观测自动化省级数据质控处理分析技术研究”.
摘 要:目前江西省自动气象站数据质控软件仅依靠降水数据本身的时间、空间相关性进行质控,存在部分异常强降水量漏识别问题。文中利用江西省气象信息中心提供的雷达回波资料和国家站降水观测资料,设计了雷达综合反射率质控参数,并对逐6 min累计降水量和雷达综合反射率值进行统计分析,建立了江西本地化的不同等级6 min累计降水量对应的雷达综合反射率最低阈值质控方案。该方案能较好地检测出江西省自动站降水资料中与雷达回波强度不匹配的小时异常强降水数据。目前该方案已应用于江西省自动站逐小时降水量数据实时自动质控业务中,有效提高了自动站异常强降水的质控效果。The current provincial quality control software of automatic weather station data only depends on the temporal and spatial correlation of precipitation data,resulting in partial leak identification of abnormal heavy precipitation.Based on the radar echo and precipitation data of national automatic station provided by Jiangxi Meteorological Information Center,the quality control parameters of radar comprehensive reflectivity was designed and 6-minute accumulated precipitation and radar comprehensive reflectivity were analyzed.The lowest threshold quality control scheme of radar comprehensive reflectivity corresponding to different levels of 6-minute accumulated precipitation in Jiangxi province was constructed.Based on the scheme,the precipitation data of automatic weather stations in Jiangxi province were tested,and the results showed that the abnormal hourly precipitation data not matched the radar echo intensity can be better detected.The scheme has been applied in the real-time automatic quality control of precipitation data from automatic weather stations in Jiangxi province,and effectively improved the quality control effect of abnormal heavy precipitation data of automatic stations.
分 类 号:P413[天文地球—大气科学及气象学]
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