研究论文

空间天气定量化预报系统的设计与实现

  • 邹自明;高文健;张效信;佟继周
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  • 1. 中国科学院空间科学与应用研究中心,北京 100190;2. 中国科学院大学,北京 100049;3. 中国气象局国家空间天气监测与预警中心,北京 100081

收稿日期: 2012-12-21

  修回日期: 2013-01-23

  网络出版日期: 2013-04-08

Design and Implementation of Space Weather Quantitative Forecasting System

  • ZOU Ziming;GAO Wenjian;ZHANG Xiaoxin;TONG Jizhou
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  • 1. Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. National Center for Space Weather, China Meteorological Administration, Beijing 100081, China

Received date: 2012-12-21

  Revised date: 2013-01-23

  Online published: 2013-04-08

摘要

空间天气模型系统是在特定的模型计算框架下,对多个空间天气模型进行封装集成,实现对空间天气定量化分析功能的系统.为加强模型间联系,提高模型预报应用水平和国内空间天气预报能力,设计实现了针对中国空间天气模型的系统——空间天气定量化预报系统.该系统采用以计算框架为核心,模型服务组件、可视化服务组件、数据管理服务组件为支撑的思想进行架构设计,提供对5大空间区域模型的高速计算环境,实现模型的封装集成,并以多种可视化形式对计算结果进行丰富的展现.系统具有高效的业务调度和数据传输能力,有效提高了系统运行性能、预报效率和科研用户的交互体验.

本文引用格式

邹自明;高文健;张效信;佟继周 . 空间天气定量化预报系统的设计与实现[J]. 科技导报, 2013 , 31(10) : 18 -23 . DOI: 10.3981/j.issn.1000-7857.2013.10.001

Abstract

The space weather model system is a system that works under a particular model computing framework, an integration of multiple space weather models, and the realization of the quantitative analysis of the space weather. In order to strengthen the links among the models, to improve the operation ability of the prediction model and to enhance the domestic space weather forecast capacity, we have designed and implemented the space weather model system that integrate models for China's space weather quantitative forecast system. With the computing framework as the core, it makes use of the model service component, the visualization service component, the data management service component in its architecture. The system can provide a high-speed computing environment for models in five space areas, realize the encapsulation and the integration of the space weather models, and output the calculation results in a variety of visual forms. The system has a high efficient business scheduling and data transmission capacity, wth good system performance, prediction efficiency and interface for scientific research users.
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