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

Analysis of the stability of observation equipment and accuracy of observation data under extreme conditions based on"7.20"extreme rainstorm event in Zhengzhou

基于2021年郑州“7.20”极端暴雨事件对地面气象观测设施及观测方法等准确性的影响,开展观测设备精准度、质控算法稳定性、设备状态及数据准确性等方面的分析研究,旨在提高观测质量,为严重致灾性极端大暴雨的服务及研究提供参考依据。研究结果表明:强降水期间,新型自动气象站稳定运行,SL3-1型双翻斗雨量传感器的小时累计降水量偏差值满足观测业务要求;降水多传感器控制系统引入的融合算法能够有效保证雨量数据正常采集;降水现象仪能够准确捕获降水粒子,真实反映降水实况,反演的降水量数据与雨量传感器观测数据的变化趋势基本相同;冰雹订正算法逻辑合理、运行稳定,可以有效滤除不符合降水实况的值。总体来说,郑州市国家基准气象站装备的气象探测设施在面对致灾性极端大暴雨时仍能正常运行,完成观测任务。

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 SL31 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.