摘要
自动站气象数据作为重要的气象观测资料,已经应用到知天气业务系统中,但在使用的过程中发现会出现一些明显错误的实时气温数据,对自动站实时气温数据进行质量控制非常有必要。文章通过界限值检查、时间一致性检查、内部一致性检查、空间一致性检查四种方法对福建省自动站正点实时气温数据进行质量控制,使用历史气象资料确定了四种检查方法的判断条件,使用C#编程语言,实现了对2018-2019年的自动站正点观测数据的测试,能够及时发现错误的气温数据。
Automatic station meteorological data,as important meteorological observation data,has been applied to the weather-aware business system,but during the use of it,it is found that some obviously wrong real-time temperature data will appear.It is necessary to perform quality control on the real-time temperature data of the automatic station.In this paper,the quality control of the real-time temperature data in Fujian Province was performed by four methods:limit value check,internal consistency check,time consistency check,and space consistency check.The judgment conditions of the four check methods were determined using historical meteorological data.The test was performed using the automatic punctual observation data from 2018 to 2019,and the wrong temperature data could be found in time.
作者
郭昌松
夏利娜
赵伯听
GUO Chang-song;XIA Li-na;ZHAO Bo-ting(Fujian Meteorological Service Center,Fuzhou 350001,China)
出处
《电脑与信息技术》
2020年第4期13-15,共3页
Computer and Information Technology
关键词
知天气
质量控制
自动站
实时气温数据
weather system
quality control
automatic stations
real-time temperature data
