自动观测气温质控方法研究
Study on Quality Control Methods of Automatic Temperature Observation
李鹏飞1
作者信息
- 1. 河南省气象探测数据中心,郑州 450003
- 折叠
摘要
利用河南省121个国家级地面气象观测站的气温资料,分析了河南省极端最高气温(40.0～44.6 ℃)、极端最低气温(-23.6～-13.1℃)的空间分布和气温的变化规律,并归纳出气温数据质量控制的方法:(1)检查数据是否在合理范围之内;(2)检查数据是否符合变化规律;(3)检查数据与相关要素是否具有关联性;(4)检查数据是否符合时间一致性规律;(5)检查数据是否具有空间一致性;(6)若瞬时值60 min无变化,小时值24 h无变化,则数值有误;(7)对数据进行临界值检查;(8)检查气温变化异常是否由天气事件引起.
Abstract
By using the temperature data from 121 national surface meteorological stations in Henan Province,this article analyzes the spatial distributions of extreme highest temperatures(40.0 to 44.6 ℃)and extreme low temperatures(-23.6 to-13.1 ℃)as well as the variation pattern of temperature in Henan Province.Addtionally,the methods of controlling the quality of temperature data are summarized as follows:(1)Checking whether the data is within a reasonable range;(2)checking whether the data conforms to the variation pattern;(3)checking whether the data is correlated to relevant elements;(4)checking whether the data conforms to time consistency;(5)checking the spatial consistency of the data;(6)identifying errors in the data with instantaneous values unchanged for 60 min or the hourly val-ue unchanged for 24 hours;(7)performing critical value checks;(8)examining whether abnormal tem-perature changes are caused by weather events.
关键词
气温/质控方法/研究Key words
air temperature/quality control method/research引用本文复制引用
基金项目
中国气象局·河南省农业气象保障与应用技术重点开放实验室应用技术研究基金项目(KZ202114)
出版年
2024
NETL
NSTL
万方数据