|
|
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.
|
Received: 23 September 2022
|
|
|
|
|
Cite this article: |
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[J]. Meteorological Hydrological and Marine Instrument, 2024, 41(1): 92-95.
|
|
|
|
URL: |
http://www.qxswhy.com/EN/ OR http://www.qxswhy.com/EN/Y2024/V41/I1/92 |
[1] |
中国气象局.地面气象自动观测规范(第一版)[M].北京:气象出版社,2020.
|
[2] |
刘宗庆,郑亮,陈涛.SL3-1型双翻斗雨量传感器测量误差试验分析[J].气象科技,2020,48(5):635-639.
|
[3] |
毛成忠,徐海富,冷鹏飞,等.SL3-1型双翻斗式自动雨量站两例特殊故障的分析[J].气象水文海洋仪器,2017,34(2):89-92.
|
[4] |
李秋平.SL3-1型双翻斗雨量计离散误差的消除方法[J].气象水文海洋仪器,2015,32(1):100-102.
|
[5] |
吴宜,刘西川,张军,等.Parsivel激光雨滴谱仪与雨量计观测降水的一致性分析[J].气象科技,2020,48(2):147-153.
|
[6] |
张晓宇,雷勇,王柏林,等.Parsivel与LNM激光雨滴谱仪降水观测的差异[J].气象科技,2016,44(4):548-554.
|
[7] |
周黎明,王俊,龚佃利,等.山东三类降水云雨滴谱分布特征的观测研究[J].大气科学学报,2014,37(2):216-222.
|
[8] |
张瑞,蒲小兰,周宇.浅谈多传感器融合技术在气象观测中的应用[J].中低纬山地气象,2022,46(2):118-120.
|
[9] |
李晓波,郭玉洁,张长春,等.新型自动气象站气温多传感器对比试验中气温测量差异及原因分析[J].气象水文海洋仪器,2022,39(1):70-73.
|
[10] |
刘小宁,任芝花.地面气象资料质量控制方法研究概述[J].气象科技,2005(3):199-203.
|
[11] |
吴书成,魏爽,王丽吉,等.自动气象站降水实时快速质控算法设计[J].气象科技,2016,44(6):882-888.
|
[12] |
中国气象局.地面气象观测规范[M].北京:气象出版社,2003.
|
[13] |
刘强,陈赛,张垚.激光雨滴谱仪尺度测量精度的设计与应用[J].气象科技,2018,46(6):1087-1092.
|
[14] |
李娟,李甦,李斯娜,等.多传感器数据融合技术综述[J].云南大学学报(自然科学版),2008,30(增刊2):241-246.
|
[15] |
李晶,李弦,陈思,等.湘中地区降水天气现象仪液态降水数据分析[J].气象水文海洋仪器,2020,37(1):12-15.
|
[16] |
盛裴轩,毛节泰,李建国,等.大气物理学(第2版)[M].北京:北京大学出版社,2013.
|
[17] |
杜波,马舒庆,刘达新,等.雨滴谱降水现象仪综合测试系统设计[J].气象科技,2018,46(1):56-63.
|
[18] |
张欢,濮江平,胡子浩,等.庐山不同高度雨滴谱分析[J].气象与环境科学,2013,36(2):26-30.
|
|
|
|