[1]王立俊,江益,程洪涛,等. 南海区域站实时气象数据质控系统研究[J].计算机技术与发展,2017,27(08):177-181.
　WANG Li-jun,JIANG Yi,CHENG Hong-tao,et al. Study on Quality Control System of Real Time Meteorological Data from Regional Stations on South China Sea[J].,2017,27(08):177-181.
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 南海区域站实时气象数据质控系统研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年08期
页码:
177-181
栏目:
应用开发研究
出版日期:
2017-08-10

文章信息/Info

Title:
 Study on Quality Control System of Real Time Meteorological Data from Regional Stations on South China Sea
文章编号:
1673-629X（2017)08-0177-05
作者:
 王立俊; 江益; 程洪涛; 郑虹晖
 海南省气象信息中心
Author(s):
 WANG Li-jun; JIANG Yi; CHENG Hong-tao; ZHENG Hong-hui
关键词:
 ; 南海区域站; 气象数据; HV-Process算法; 实时质控
Keywords:
 ; regional stations on the South China Sea; meteorological data; HV-Process algorithm; real-time quality control
分类号:
TP311
文献标志码:
A
摘要:
 近年来,各类型区域站提供的气象资料对天气预报及气候研究等方面的作用越来越大.由于南海区域站位于岛礁上,数据采集易受到周围多变环境的影响,会造成数据产生偏差或错误.为保证海岛站数据的可靠性和可用性,提出了HV-Process(Horizontal and Vertical Process)算法.该算法利用双重判断和处理机制,对原有质量控制得出的疑误数据进行分析处理,降低了南海区域站气象数据的误检率.在此基础上,设计并研发了一套实时气象资料质控系统,实现了实时质控、全库质控和数据查询等功能,实时处理最新入库的疑误数据,并提供简易的实时查询.应用演练情况表明,所设计构建的实时气象资料质控系统在日常业务中提高了甄别南海区域站气象疑误数据的准确性,有效地保障了实时气象数据的质控业务.
Abstract:
 In recent years,the role of meteorological data provided by various types of regional stations in weather forecasting and climate research has becoming more and more large.Since the regional stations are located in the islands or reefs of the South China Sea,data collecting is vulnerable to be affected by the surrounding environment,which may result in the deviation or error for the data.To ensure the reliability and availability of the data from island stations,HV-Process algorithm to analyze and process the suspect data of the preceding quality control by using the mechanism of dual judging and processing is proposed,which reduces the false detection rate of meteorological data obtained from regional stations.And thus a system of quality control for real time meteorological data is developed,which implements so many functions,including quality control for real-time and whole database,and data query,real-time processing of the latest data and providing a simple real-query.The applications practice show that it has improved the accuracy of distinguishing the meteorological suspect data of regional stations and effectively guaranteed the quality control service for real-time meteorological data in the daily business.

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更新日期/Last Update: 2017-09-22