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气象:2022,48(7):891-898
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基于速度和数量阈值的雨滴谱质量控制方法
李林,孙赫敏,仰美霖,杜传耀,范雪波,卢一皎,尹佳莉
(北京城市气象研究院,北京 100089; 北京市气象探测中心,北京 100089)
Disdrometer’s Data Quality Control Method Based on Speed and Quantity Threshold
LI Lin,SUN Hemin,YANG Meilin,DU Chuanyao,FAN Xuebo,LU Yijiao,YIN Jiali
(Institute of Urban Meteorology, CMA, Beijing 100089; Beijing Meteorological Observation Centre, Beijing 100089)
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投稿时间:2021-02-26    修订日期:2022-04-01
中文摘要: 降雨的微观结构观测对于降水的精确预报以及人工影响天气至关重要,但受到非降水因素、湍流和雨滴重叠等因素影响,雨滴谱的观测数据存在一定的误差和错误。选取北京市9个国家级地面气象观测站在2017年4—10月期间的雨滴谱仪观测数据,结合翻斗雨量计观测资料和人工记录天气现象,研究雨滴谱观测数据质量控制方法。结果表明:错误的雨滴谱观测数据主要由霾、沙尘天气及昆虫活动引起,粒子速度主要在5 m·s-1以下,粒子大小分布较为分散。建立了速度、数量的双阈值质量控制方法,可以有效剔除错误雨滴谱观测数据,当速度、数量阈值系数分别为0.4和0.7时,TS评分最优,达到0.92;雨滴谱仪与翻斗雨量计观测降雨量的决定系数从0.757提高到0.985。该方法可以更有效地利用降雨观测资料,充分发挥新型探测设备建设效益。
Abstract:The observation of the microstructure of rainfall is very important for the accurate prediction of precipitation and weather modification. However, due to factors such as non precipitation factors, turbulence and raindrop overlap, there exist certain errors in the quality of the current raindrop spectrum observation data. This paper selects 9 national meteorological observation stations in Beijing from the Parsivel disdrometer observation data from April to October 2017, combined with the tipping bucket gauge rainfall observation data and manual record weather phenomenon, and studies the quality control method of disdrometer observation data. The results show that the wrong disdrometer observation data are mainly caused by haze, sand dust weather and insect activities. The particle velocity is mainly below 5 m·s-1, and the drop size distribution is relatively scattered. Through the speed threshold and quantity threshold (STQT) quality control methods, the wrong disdrometer observation data can be effectively eliminated. When the 0.4 speed threshold coefficient and 0.7 quantity threshold coefficient are used respectively, the best threat score is 0.92. After using STQT method for disdrometer observation data quality control, the correlation coefficient between disdrometer observation precipitation and tipping bucket gauge observation precipitation increases from 0.757 to 0.985. Thus, this method can make more effective use of rainfall observation data and give full play to the benefit of new observing equipment.
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基金项目:国家重点研发计划(2018YFC1506801)、国家自然科学基金项目(42005109)共同资助
引用文本:
李林,孙赫敏,仰美霖,杜传耀,范雪波,卢一皎,尹佳莉,2022.基于速度和数量阈值的雨滴谱质量控制方法[J].气象,48(7):891-898.
LI Lin,SUN Hemin,YANG Meilin,DU Chuanyao,FAN Xuebo,LU Yijiao,YIN Jiali,2022.Disdrometer’s Data Quality Control Method Based on Speed and Quantity Threshold[J].Meteor Mon,48(7):891-898.