期刊文献+

利用最小二乘配置预报全球电离层总电子含量 被引量:6

GLOBAL IONOSPHERIC TEC PREDICTION BASED ON LEAST-SQUARES COLLOCATION METHOD
下载PDF
导出
摘要 将全球电离层垂直总电子含量(VTEC)分解为非随机的系统部分和随机的信号部分,采用4阶自回归模型拟合滤波信号的自协方差函数,并基于最小二乘配置法原理,对全球电离层总电子含量进行长期预报和短期预报分析。结果表明,长期预报的系统部分与欧洲定轨中心(CODE)的全球电离层模型值之间的相关系数为0.812,模型拟合值与参考值残差在4 TECu以内。短期预报在南半球预报精度比北半球要低,地磁赤道南北纬20°区域和海洋区域预报精度最低。全球模型预报精度为1~7 TECu,北半球预报精度约为2.4 TECu,相比CODE方法提高约20.14%;南半球预报精度约为3.5 TECu,相比CODE方法略差;全球预报精度约为3.0 TECu,相比CODE方法提高约8.25%。 The global ionospheric model for long-term prediction and short-term prediction was analyzed through dividing the vertical total electron content(VTEC) into deterministic component and signal component, fit- ting the filtered signal of autocovariance function using 4-order autoregressive model, and using the Least-Squares Collocation method. The results show that correlation coefficient between long-term prediction of trend component and global ionospheric model of CODE is 0.812, and the residuals between model fitted values for daily mean global total electron content( mean global TEC, MGTEC) and reference values are less than 4 TECu. The results of short- term prediction show that the prediction precision is lower in the Southern Hemisphere than that in Northern Hemi- sphere,and the prediction precision is the lowest in the region between 20~N and 20~S of geomagnetic equator and in the ocean areas. Global prediction precision RMS is about 1 -7 TECu ,the average precision is about 2.4 TECu in Northern Hemisphere,and is about 3.5 TECu in Southern Hemisphere.
出处 《大地测量与地球动力学》 CSCD 北大核心 2014年第6期86-91,共6页 Journal of Geodesy and Geodynamics
基金 国家自然科学基金项目(41231174) 国家863计划项目(2014AA121501) 中央高校基本科研业务费专项资金项目(2014618020202)
关键词 全球电离层模型 电离层 TEC 最小二乘配置 自协方差 自回归 global ionospheric model Ionosphere TEC least-squares collocation ACF AR
  • 相关文献

参考文献12

  • 1Liu Zhizhao, Skone Susan, Gao Yang, et al. Ionospheric mod- eling using GPS data [ J ]. GPS Solutions, 2005,9 ( 1 ) : 63 - 66.
  • 2Hemondez-Pajares M ,Juan J M, Sanz J,et al. The IGS VTEC maps:a reliable source of ionospheric information since 1998 [ J ]. Journal of Geodesy, 2009,83 ( 3/4 ) : 263 - 275.
  • 3刘瑞源,刘顺林,徐中华,吴健,王先义,张北辰,胡红桥.自相关分析法在中国电离层短期预报中的应用[J].科学通报,2005,50(24):2781-2785. 被引量:29
  • 4Liu Zhizhao, Gao Yang. Ionospheric TEC predictions over a local area GPS reference network [ J ]. GPS Solutions ,2004, 8(1) :23 -29.
  • 5李志刚,李伟超,程宗颐,冯初刚.电离层TEC预报的直接法和间接法及其比较[J].天文学报,2008,49(1):29-44. 被引量:12
  • 6李志刚,程宗颐,冯初刚,李伟超,李慧茹.电离层预报模型研究[J].地球物理学报,2007,50(2):327-337. 被引量:64
  • 7Hediye E, Niyazi A. Identification of vertical total electron content by time series analysis [ J ]. Digital Signal Process- ing ,2009,19 (4) :740 - 749.
  • 8陈鹏,姚宜斌,吴寒.利用时间序列分析预报电离层TEC[J].武汉大学学报(信息科学版),2011,36(3):267-270. 被引量:51
  • 9Stankov S M, Kutiev I S, Jakowski N, et al. GPS TEC forecas- ting based on auto-correlation analysis [ J ]. Acta Geodaetica et Geophysica Hungarica ,2004,39 ( 1 ) : 1 - 14.
  • 10Stefan S. Mapping and predicting the earth's ionosphere u- sing the global positioning system [ D ]. Berne : University of Berne, 1999.

二级参考文献40

共引文献126

同被引文献61

引证文献6

二级引证文献32

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部