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| 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 |
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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.
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Received: 18 June 2024
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| Cite this article: |
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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[J]. Meteorological Hydrological and Marine Instrument, 2026, 43(1): 26-29.
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| URL: |
| http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2026/V43/I1/26 |
| [1] |
荀伟唯,李秀英,庄萌.DSG4型降水传感器平行观测数据对比分析[J].气象水文海洋仪器,2022,39(1):5-7.
|
| [2] |
任思宇,丘平珠,谭斐,等.降水现象平行观测评估与分析[J].气象研究与应用,2019,40(1):88-90,87.
|
| [3] |
陈爱莲,丁妙增.降水现象仪的比对与分析 [J].气象水文海洋仪器,2017,34(1):8-12.
|
| [4] |
葛黎黎,郭栋,李亚军,等.山西地区降水现象仪平行观测评估[J].气象水文海洋仪器,2023,40(2):41-43,46.
|
| [5] |
杨宁,张晋,刘钧.雨滴谱式降水现象仪降水类型判定算法优化探究[J].气象科技进展,2018,8(6):89-94.
|
| [6] |
濮江平,赵国强,蔡定军,等.Parsivel激光降水粒子谱仪及其在气象领域的应用[J].气象与环境科学,2007(2):3-8.
|
| [7] |
杜波,马舒庆,梁明珠,等.雨滴谱降水现象仪对比观测试验技术应用分析[J].气象科技,2017,45 (6):995-1001.
|
| [8] |
中国气象局气象探测中心.地面气象观测业务技术规定实用手册[M].北京:气象出版社,2016.
|
| [9] |
杜传耀,尹佳莉,李林,等.降水现象仪观测应用评估[J].气象,2019,45(5):730-737.
|
| [10] |
张鑫,杜波,李昌兴,等.一种降水现象仪软件质量控制方法及系统:CN110083591A[P].2019-04-26.
|
|
|
|
2026, Vol. 43 
