阿尔察^1,,
刘四清^1,2,
黄文耿¹,
李建勇³,
师立勤^1,2,
龚建村¹,
陈艳红¹,
沈华¹,
蔡燕霞¹,
鲁国瑞¹
1. 中国科学院国家空间科学中心, 北京 100190
2. 中国科学院大学, 北京 100049
3. 地壳运动监测工程研究中心, 北京 100045

基金项目: 国家重点研发计划（2016YFB0501503），国家自然科学基金（41404125，41674183）联合资助


详细信息

作者简介: 阿尔察, 男, 蒙古族, 1984年生, 博士, 2012年毕业于北京大学, 主要从事电离层物理研究.E-mail:aercha@nssc.ac.cn

中图分类号: P352

收稿日期:2017-06-08
修回日期:2017-07-07
上线日期:2018-06-05

Ionospheric TEC data assimilation and now-casting system over China

A ErCha^1,,
LIU SiQing^1,2,
HUANG WenGeng¹,
LI JianYong³,
SHI LiQin^1,2,
GONG JianCun¹,
CHEN YanHong¹,
SHEN Hua¹,
CAI YanXia¹,
LU GuoRui¹
1. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. National Earthquake Infrastructure Service, Beijing 100045, China


MSC: P352

--> Received Date: 08 June 2017
Revised Date: 07 July 2017
Available Online: 05 June 2018


摘要
摘要:数据同化是在基于物理机制的背景模型上，融合时空不规则分布的观测数据的一种现报方法.同化能够有效弥补数据的时空局限和模型的精度偏差，使二者相互匹配从而获得更加合理可信的模拟效果.本研究利用电离层数据同化方法，针对中国及周边区域（15°N—55°N，70°E—140°E）构建了电离层总电子含量（TEC）同化现报系统.系统使用国际参考电离层（IRI）作为背景场，利用中国科学院空间环境监测网和国际GNSS服务组织（IGS）的部分地基GNSS台站数据作为观测值，并采用三维变分与Gauss-Markov卡尔曼滤波相结合的算法进行背景场和观测值的数据同化，生成覆盖中国及周边区域的电离层TEC和GPS单频接收机延迟误差的格点化准实时现报地图，并在中国科学院空间环境预报中心（http://sepc.ac.cn/TEC_chn.php）网上发布，每15 min进行更新.该系统是我国基于同化算法的电离层现报系统之一，已用于中国及周边区域的电离层环境实时监测，可为卫星导航、雷达成像、短波通信等科学研究和工程应用提供相对及时、准确、有效的电离层TEC和误差修正信息.
关键词: 数据同化/
现报系统/
电离层TEC/
三维变分法/
Gauss-Markov卡尔曼滤波

Abstract:Ionospheric data assimilation is a now-casting technique to incorporate irregular ionospheric measurements into certain background model, which is an effective and efficient way to overcome the limitation of the unbalanced data distribution and to improve the accuracy of the model, so that the model and the data can be optimally combined with each other to produce a more reliable and reasonable system specification. In this study, a regional total electron content (TEC) now-casting system over China and adjacent areas (70°E-140°E and 15°N-55°N) is developed on the basis of data assimilation technique. The International Reference Ionosphere (IRI) is used here as background model, and the GNSS data are derived from both the Space Environment Monitoring Network of Chinese Academy of Sciences (SEMnet) and International GNSS Service (IGS) data. A Three-dimensional variation algorithm (3DVAR) combined with Gauss-Markov Kalman filter technique is used to implement the data assimilation. The regional gridded TEC maps and the position errors of single-frequency GPS receivers can be generated and publicized online (http://sepc.ac.cn/TEC_chn.php) in quasi-real time, which is updated for every 15 min. It is one of the ionospheric now-casting systems in China based on data assimilation algorithm, which can be used not only for real-time monitoring of ionosphere environment over China and adjacent areas, but also in providing accurate and effective specification of regional ionospheric TEC and error correction for satellite navigation, radar imaging, shortwave communication, and other relevant applications.
Key words:Data assimilation/
Now-casting system/
Ionospheric TEC/
3DVAR/
Gauss-Markov Kalman Filter



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