Analysis of the stability of observation equipment and accuracy of observation data under extreme conditions based on "7.20" extreme rainstorm event in Zhengzhou
Huo Yanfeng1, Zhang Xin2
1. Xiuning Meteorological Bureau of Anhui,Xiuning 245400; 2. Huayun Group Business Technology Department,Beijing 100081
Abstract:Based on the impact of the "7.20" extreme rainstorm event in Zhengzhou in 2021 on the accuracy of ground meteorological observation facilities and observation methods,the author of this paper cames out analysis and research on the accuracy of observation equipment,stability of quality control algorithm,accuracy of equipment status data,aiming to improve the observation quality and provide reference for the service and research of severe catastrophic extreme rainstorm.The research results show that the new automatic meteorological station operates stably during heavy rainfall,and the hourly accumulated precipitation deviation value of SL3-1 double tipping bucket rainfall sensor meet the observation bussiness requirements.The fusion algorithm introduced by precipitation multi-sensor control system can effectively ensure the normal collection of rainfall data.The precipitation phenomenon instrument can accurately capture precipitation particles and truly reflect the actual precipitation.The continuity and change trend of the retrieved precipitation data are basically the same as the observation data of the rainfall sensor.The hail correction algorithm is reasonable in logic and stable operation,and can effectively filter out the values that do not conform to the actual precipitation.In general,the meteorological observation facilities equipped by Zhengzhou National Standard Meteorological Station can still operate normally in the face of catastrophic extreme rainstorm and complete the observation task.
霍延风, 张鑫. 基于郑州“7.20”极端暴雨事件分析极端情况下观测设备稳定性和观测数据准确性[J]. 气象水文海洋仪器, 2024, 41(1): 92-95.
Huo Yanfeng, Zhang Xin. Analysis of the stability of observation equipment and accuracy of observation data under extreme conditions based on "7.20" extreme rainstorm event in Zhengzhou. Meteorological Hydrological and Marine Instrument, 2024, 41(1): 92-95.