Analysis of automatic observation characteristics of precipitation phenomenon at Haidian national meteorological station in different types of precipitation processes
Xue Zhilei1, Li Huan2, Du Chuanyao3
1. Haidian Meteorological Bureau,Beijing 100081; 2. Beijing Comprehensive Law Enforcement Team for Ecological Environment Protection,Beijing 100176; 3. Beijing Meteorological Observation Center,Beijing 102600
Abstract:The article uses a total of 51 minute observation data of different types of precipitation processes in Haidian District from 2019 to April 15,2020,to analyze the minute observation results of the DSG4 precipitation phenomenon instrument installed at the Haidian National Meteorological Station and the precipitation phenomenon minute data after software quality control.The observation effect is analyzed,and the questionable quality control data is identified.The possible reasons for the occurrence of this data are preliminarily explored and discussed.The results show that the DSG4 precipitation phenomenon instrument has better observation performance for stable rainfall processes,but has a higher false alarm rate for short duration or for light rain processes with rainfall intensity less than 0.1 mm and long duration.The overall quality control effect of the quality control program on the minute data of rain and hail misidentification by the precipitation phenomenon instrument is poor.It is recommended to adjust the humidity threshold of drizzle quality control to lower and the visibility threshold to higher,and improve the quality control program for identifying light snow as drizzle on the equipment.For the quality control of rain,it is recommended to add a 15 minute relative humidity judgment to the quality control program to reduce the occurrence of erroneous quality control.
薛志磊, 李焕, 杜传耀. 不同类型降水过程海淀国家气象站降水现象自动观测特征分析[J]. 气象水文海洋仪器, 2026, 43(1): 26-29.
Xue Zhilei, Li Huan, Du Chuanyao. Analysis of automatic observation characteristics of precipitation phenomenon at Haidian national meteorological station in different types of precipitation processes. Meteorological Hydrological and Marine Instrument, 2026, 43(1): 26-29.