干旱气象

• 业务技术应用 • 上一篇    下一篇

全国气象干旱监测预警业务试验平台设计与实现

孙林花冯建英李仲龙徐娟张明   

  1. 1. 甘肃省气象信息与技术装备保障中心, 甘肃 兰州 730020;
    2. 中国气象局兰州干旱气象研究所; 甘肃 兰州 730020
  • 出版日期:2014-03-03 发布日期:2014-03-03
  • 作者简介:孙林花(1974-),女,甘肃天水人,高级工程师,主要从事气象信息网络系统维护与开发.Email:slhletter@163.com com
  • 基金资助:

    甘肃省气象局气象科研项目(2013-01)资助

Design and Implementation of Test Platform on the Meteorological Drought Monitoring and Early Warning Service in China

SUN Linhua1FENG Jianying2LI Zhunlong1XU Juan1ZHANG Ming1   

  1. 1. Gansu Meteorological Information and Technic Support and Equipment Center,Lanzhou 730020,China;
    2. Lanzhou Institute of Arid Meteorology,CMA, Lanzhou 730020, China  
  • Online:2014-03-03 Published:2014-03-03

摘要:

针对干旱监测预警业务及科研需求,在WINDOWS系列操作系统平台下,采用SQLSERVER 2005数据库,建立了全国720个国家级站点自建站以来日最高最低气温、日降水量、日照时数、日蒸发量等要素历史和实时资料数据库,实现了实时、历史资料的对接,为干旱监测预警业务试验提供了资料保障。在此基础上,采用C#等开发工具,设计开发了全国气象干旱监测预警业务试验平台,该平台整合了K、SPI、CI等干旱指数算法,实现了气象要素的多条件灵活查询、统计计算及指数计算等功能,提供了色斑图、折线图、EXCEL表等形式多样的产品表达方式。

关键词: 气象干旱, 监测预警, 试验平台, 设计与实现

Abstract:

 To meet the business and scientific research requirement on drought monitoring and early warning,a database,which contains historical and real-time time series data of meteorological elements including daily maximum temperature,daily minimum temperature,daily precipitation,daily sunshine hours and daily evaporation at 720 meteorological stations throughout China since their establishment,was established on Windows platform by using SQL SERVER 2005 database. The database not only realized the joint of real - time and historical data,and importantly it provides data storage services for the drought monitoring and early warning service.On this basis,the test platform of meteorological drought monitoring and early warning service was developed by C# and other languages. The platform integrated the algorithm of K,SPI and CI drought index,which realized the flexible query by multi-condition and statistic of meteorological elements,and the drought index calculation,etc. In addition,it provides various formats product,such as stain chart,line chart,and EXCEL table.

Key words: meteorological drought, monitoring and early warning, test platform, design and Implementation

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